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About Us Oliv.AI is a SalesTech global startup headquartered in San Francisco, debuting the world's first team of AI Agents for sales. With our recent $5.2M Seed funding, we solve one of the biggest problems for revenue teams: unreliable deal data. Oliv captures Deal Intelligence from every meeting, call, and email—without any rep involvement. The result is a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Our AI agents are built for sales teams—sales managers, AEs, and RevOps—handling the work that takes them away from selling. With Oliv AI, sales teams can bring back focus on deals, strategy and conversation.AI Product Intern Location: Remote Type: Part time internship (min 5 hours/day) (potential to PPO) Start: Immediate Why this role exists We’re a lean AI startup building real customer-facing automations and agents. You’ll sit at the intersection of product, engineering, and customer success shipping solutions that real teams use every day. What you’ll do Co-build with customers: Understand discovery calls, translate messy requirements into clear specs, prototype quickly, and iterate to adoption. Own automations end-to-end: Design, build, and maintain low-code workflows using n8n and Clay (webhooks, schedulers, error handling). Customize CRMs: Configure and extend HubSpot/Salesforce for clients (objects, properties/fields, automations, APIs). Build AI agents: Help design and wire up agents using Baserow + n8n (data models, prompts, evaluation loops). Be product-minded: Propose improvements, simplify flows, and turn one-off builds into repeatable templates. What’s great about this role Hands on with the latest AI stack (agents, prompts, LLM ops) and modern automation platforms. Fast paced startup environment with real ownership from week one your work goes live. Founder track experience is perfect if you plan to start up learn customer discovery, scoping, building, and shipping. Who can apply Undergraduate engineering students. Nice to have (bonus points) Comfortable with APIs, webhooks, JSON, and basic scripting (JavaScript or Python). Familiar with (or eager to learn) n8n, Clay, HubSpot/Salesforce, and Baserow. Logistics & perks Mentorship: Work directly with product/engineering leads; weekly feedback loops Portfolio: Shippable projects you can demo (templates, agents, integrations) Stipend: Competitive for internship stage (final amount based on profile) and opportunity for full time offer Remote friendly and flexible hours We want to make sure everyone has an equal chance to participate and make a difference. Oliv.AI is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Oliv’s policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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Vatic is looking for an AI engineer with proven experience with large foundational models.  Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.  As an AI Engineer you will: Play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.  Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures. play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis. We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.   If you possess the following, we would love to explore what is available for you with our team: Keen interest in training, evaluation, understanding, and innovation of foundational models Advanced proficiency with Python development in a Linux environment Strong understanding of machine learning, deep learning, and generative AI methods and technologies Direct experience with multi-GPU model training Demonstrable success building high performance software Performance tuning/optimization of software and algorithms Familiarity with parallel computing models and frameworks Strong analytical and problem-solving skills A passion for trading, research, and technology Excitement and interest in using readily available open source technologies and prototypes Excellent communication skills Confident team player motivated by a fast-paced environment At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one. Comprehensive health benefits – Full health insurance coverage for employees and dependents. Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office. Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.  Unlimited office snacks – Fuel your day with your favorite snacks, always stocked. Fun team outings – Build camaraderie and unwind with regular events. Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another. The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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Vatic is looking for an AI engineer with proven experience with large foundational models.  Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.  As an AI Engineer you will: Play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.  Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures. play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis. We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.   If you possess the following, we would love to explore what is available for you with our team: Keen interest in training, evaluation, understanding, and innovation of foundational models Advanced proficiency with Python development in a Linux environment Strong understanding of machine learning, deep learning, and generative AI methods and technologies Direct experience with multi-GPU model training Demonstrable success building high performance software Performance tuning/optimization of software and algorithms Familiarity with parallel computing models and frameworks Strong analytical and problem-solving skills A passion for trading, research, and technology Excitement and interest in using readily available open source technologies and prototypes Excellent communication skills Confident team player motivated by a fast-paced environment At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one. Comprehensive health benefits – Full health insurance coverage for employees and dependents. Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office. Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.  Unlimited office snacks – Fuel your day with your favorite snacks, always stocked. Fun team outings – Build camaraderie and unwind with regular events. Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another. The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAbout the Role: The Director, Forward Deployed Engineering & AI GTM Lead owns the technical execution, go-to-market effectiveness, and organizational adoption of Aircall’s AI Communication Agent. This role leads and scales the Forward Deployed Engineering (FDE) team while remaining closely engaged in customer-facing work to ensure consistency, quality, and impact across all deployments. Operating at the intersection of Applied AI, technical delivery, and go-to-market execution, this leader works across Sales, Account Management, Product, Engineering, Marketing, and Support to ensure AVA is successfully positioned, implemented, and scaled. The role plays a critical part in shaping how Aircall brings AI to market - translating field execution into repeatable models, and customer learnings into product and GTM evolution.Key Responsibilities:Lead, coach, and grow the Forward Deployed Engineering team from 3 FDEs today to 7–8 by H1 ‘26, setting clear standards for technical excellence, execution rigor, and customer impact.Stay closely involved in active customer engagements and strategic initiatives, providing technical guidance, solution direction, and senior-level support where needed.Drive strong AI Agents go-to-market execution by embedding disciplined operating practices across the team, including pipeline hygiene, forecasting accuracy, and effective collaboration with Sales, AM, SE, Partners, and CEs.Pilot the team using data-backed operating models, defining and tracking clear input and output KPIs to assess performance, drive accountability, and accelerate AI Agent adoption (e.g., activity metrics, time-to-value, deployment quality, usage and revenue impact).Maintain deep technical credibility by staying close to the product and real-world use cases — comfortable coding in at least one language and highly fluent with APIs, integrations, and modern system architectures.Guide the design and delivery of scalable AI Agent deployments, including integrations with CRMs, help desks, and System-of-Truth platforms.Build and evolve playbooks, reference architectures, and deployment frameworks that enable repeatable, high-quality execution as the team scales.Lead cross-functional programs focused on AI Agents success, coordinating efforts across Product, Engineering, Marketing, Support, and GTM teams.Represent field execution and customer needs in close partnership with Product and Engineering, influencing roadmap priorities and delivery decisions.Drive internal enablement and upskilling across GTM teams, ensuring Aircall Voice Agent is clearly understood, well-positioned, and effectively adopted. Qualifications:7+ years of experience in technical sales, solutions engineering, forward-deployed engineering, or professional services roles, with prior people-management experience strongly preferred.Strong entrepreneurial mindset, as this is a startup within a startup (even better if former founder)Strong technical foundation, including hands-on experience with APIs, integrations, and data-driven systems; ability to code in at least one language (e.g., Python or JavaScript).Demonstrated ability to lead execution in complex, cross-functional environments while staying close to the field.Experience working within overlay or specialist GTM models, with strong understanding of sales cycles, forecasting, and execution best practices.Proven ability to build scalable playbooks and operating models that move teams beyond ad hoc delivery.Excellent communication and stakeholder management skills, translating between technical and business audiences.Strong interest in AI and applied automation; prior experience in AI, conversational AI, or adjacent domains is a significant plus.Experience with CRMs, help desks, and System-of-Truth architectures is highly desirable. What Success Looks LikeAgents are consistently deployed with high quality and clear business impact across customers.The FDE team scales effectively with shared standards, reusable frameworks, and predictable execution.Go-to-market execution for Agents is disciplined, data-driven, and improving quarter over quarter.Cross-functional teams operate with strong alignment around AI Agents' priorities, launches, and roadmap decisions.Field learnings continuously inform product evolution and GTM strategy, strengthening Aircall’s leadership in applied AI. 160,000 - 200,000 a yearThis base range is not including an annual bonus (60/40 split), equity, and other benefits. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, and experience. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Our mission is to make exceptional healthcare accessible anytime, anywhere, for everyone.At Assort Health, we believe healthcare should feel effortless and connected — quick answers, clear communication, and seamless access to care. That’s why we’re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider’s unique needs.Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort’s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.Since launching in 2023, Assort has managed over 65M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.4/5, and we’ve achieved 11× revenue growth since Q4 2024. We’re scaling rapidly and expanding adoption across the entire healthcare industry.About the RoleWe're on the hunt for driven, hacky and scrappy product-minded Engineers to join our team at an exciting stage of our startup's journey. If you're eager to contribute to building and scaling innovative products, this role is your ticket to making a significant impact. You'll gain hands-on experience in a dynamic startup environment, working with and contributing to cutting-edge generative AI and voice/transcription models + technologies.As part of our first 30 Engineers, you will be a cornerstone to our company's growth and success. If you are a self-starter who is ready to wear many hats and build and scale products from zero-one, then this is the perfect role for you. You’ll have lots of autonomy and will need to be comfortable operating in ambiguous situations with an entrepreneurial mindset.What You'll DoBe involved in key decisions alongside the foundersWork closely with our world-class engineering team to develop features and products from the ground up.Enjoy a high degree of autonomy, tasked with solving complex problems in innovative ways.Participate actively in design and development discussions, contributing fresh ideas and perspectives.Engage with healthcare professionals to tailor software solutions that meet real-world needs.Play a role in an agile team, prioritizing rapid development and deployment to meet our ambitious goals.You will develop scalable software solutions that comply with HIPAA and other security standards.What We're Looking For1+ years of industry experience, with a proven track record of impact at a major tech company or a high-growth startup.Strong engineering fundamentals and a demonstrated ability to design, build, and scale production-grade applications or systems.Willingness to wear multiple hats—from design and development to testing and occasional support. Comfortable with rapid iteration, experimentation, and learning from failure in a fast-paced environment.Benefits & Perks for Assorties💸 Competitive Compensation – Including salary and employee stock options so you share in our success.📚 Lifelong Learning – Annual budget for professional development, plus training opportunities to help you grow.💻 Office Setup Stipend – We’ll outfit your in-office workspace so comfy as it's productive.🩺 Top-Tier Health Coverage – Medical, dental, and vision insurance, because your health comes first.🏖 Unlimited PTO – We trust you to take the time you need to recharge and come back ready to crush it.🥗 Meals & Snacks – Lunch, dinner, and snack breaks that fuel great ideas.💪 Fitness Stipend – Your wellness matters. We reimburse monthly membership costs to support your health.🚆 Commuter Benefits – We cover eligible transportation costs to make your trip to work easier.👵 401(k) – Let us help you plan for the future. We’ve got you covered.How We Work & What We ValueOur team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work—they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result.Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we’d love to hear from you!

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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Role & ReportingTitle: Lead Data ScientistHiring Manager: Marco, Data LeadLocation: Monday - Thursday in our Chancery Lane office (London), Friday remote.Compensation: £140,000 - £170,000 base plus equity. About UsSince launching in May 2024 we’ve grown to $20 million in ARR.We’re building an AI executive assistant that handles emails, scheduling and follow-up, freeing people in client-facing roles to focus on their customers. What We ValueWe hire small numbers of exceptional people who want ownership and autonomy. You’ll be expected to work with urgency and intensity, but you’ll also gain responsibility quickly and see your work have a direct impact.What You’ll DoIn short, you’ll own Fyxer AI’s data science capabilities — you’ll set the roadmap for high-impact business areas like marketing and retention, implement scalable solutions, and ensure stakeholders use data to make confident commercial decisions.You’llBuild and refine predictive models on multi‑channel customer and usage data to drive product and marketing decisions. Collaborate with engineering, marketing, sales and product teams to define KPIs, experiment with new algorithms and surface actionable insights that drive impact. Maintain data infrastructure (BigQuery, dbt, Fivetran) and ensure data quality for reporting and self‑service analytics. Develop a culture of data-driven decision making and proactively suggest improvements to tools, processes and architecture. About YouYou use first principles to really understand the problem and build solutions that have real business impact You get frustrated just dealing with tickets and want to partner with businesses Experience working at a fast paced early-stage tech company (<100 people). Expert in SQL and comfortable with Python/R; experience building and deploying machine-learning models. Strong ability to transform messy data into production-ready datasets and communicate technical findings to non-technical stakeholders.People that thrive at FyxerYou want to build and have impact from the ground up. You want to have unreasonable ownership of your own world You work hard, with intensity everyday & move incredibly quickly You always challenge the systems you’re in to be better

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership Key ResponsibilitiesLead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.Qualifications5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutionsWhy This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💶 Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.

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Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. Zoox’s internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission. As an intern at Zoox, you’ll be working alongside those that architect, design and develop our state of art hardware and signal processing systems for enabling autonomous mobility. At Zoox, you’ll collaborate with a team of world class engineers with diverse backgrounds in areas such as AI and ML, robotics, and simulation. You’ll master new technologies while working on code, algorithm and research in your area so expertise to create and refine the key systems that move Zoox forward.  As an intern in the DSP team you will be working on design and implementation of signal processing and machine learning algorithms related to radars, depth cameras, lidars and audio subsystems. We are looking for curious and highly mathematical minds to work with us. Program RequirementsCurrently pursuing a B.S., M.S., or other advanced degree in a relevant engineering field.Plan to return to school after completing the internship.Maintain good academic standing.Available to commit to either a 12-week internship (beginning in May or June 2026), or a 6-month co-op.At least one prior industry internship, co-op, or relevant project experience.Willing and able to relocate to the Bay Area, California, for the duration of the internship.Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox.QualificationsProficiency in C, C++, Python and/or MatlabCourse work in Digital Signal Processing, Circuits and systems, Stochastic filtering, Probability and  Statistics, Random Signals and NoiseHands-on experience related to algorithm design in one or more areas related to radar and lidar processing. Ability to bring your best can-do attitude daily while solving hard problems with constraints  Bonus QualificationsExperience with Radar Signal Processing and understanding of the radar pipeline (ADC data, FFT, Range-Doppler maps, CFAR, angle-of-arrival estimation).Experience with processing 4D radar data or raw sensor data.HW and SW experience or research related to radar processing and/or radar perceptionExperience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN, LLMs, VLMs, Transformers) and traditional statistical modeling/feature extraction techniques (GMM, HMM, NMF / spectrograms etc.)Compensation:The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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About MercorMercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day.Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.About the RoleAs a Research Engineer Intern at Mercor, you’ll work at the intersection of engineering and cutting-edge AI research. You’ll contribute directly to post-training and RLVR, data generation, and large-scale evaluation workflows. Your work will be used to train Large Language Models to master tool-use, agentic behavior, and real-world reasoning. You’ll shape rewards, experiment with algorithmic improvements (GRPO, DAPO, etc.), and enhance data quality to improve model performance in real production environments. You’ll help design and evaluate datasets, create scalable data augmentation pipelines, and build rubrics that push the boundaries of what LLMs can learn.What You’ll DoWork on post-training and RLVR pipelines to help Mercor understand how datasets impact model performance.Design and run reward-shaping experiments and algorithmic improvements (e.g., GRPO, DAPO) to improve LLM tool-use, agentic behavior, and real-world reasoning.Quantify data usability, quality, and uplift on key benchmarks.Build data generation and augmentation pipelines that scale with training needs.Create and refine rubrics, evaluators, and scoring frameworks that push the boundaries of what LLMs can learn.Collaborate closely with research engineers, applied AI teams, and experts producing data. Operate in a fast-paced, experimental research environment with rapid iteration cycles.What We’re Looking ForPursuing a degree in Computer Science or a related field (graduating 2025–2027); ability to start in early 2026 is strongly preferred.Strong programming skills in Python, Go, or JavaScript, with an ability to write clean, reliable, production-grade code.Understanding of data structures, algorithms, backend systems, and core engineering fundamentals.Familiarity with APIs, SQL/NoSQL databases, and cloud platforms.Curiosity and passion for AI research, reinforcement learning, and fast-moving startups.Excitement to work in person and thrive in a high-intensity, high-ownership engineering environment.Nice To HaveReal-world post-training team experience in industryWork samples, artifacts, or code repositories demonstrating relevant skillsPublications at ACL, NeurIPS, or ICML conferencesExperience training models or evaluating model performanceBenefitsCompetitive internship stipend.Mentorship from experienced engineers.Work on real, high-impact projects.$1K monthly stipend for mealsFree Equinox membershipTeam events and offsites.Potential full-time return offer.

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HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Senior Product Manager, AI SecurityRemote Location: Seattle, WA; San Francisco Bay Area; Austin, TX; Boston, MA; or Washington, DCPosition Summary HackerOne is seeking an exceptional Product Manager to spearhead the development of our cutting-edge AI Security product portfolio. As the owner of AI Security products, you will play a pivotal role in shaping the future of how organizations secure their artificial intelligence and machine learning systems. You will be at the forefront of defining and delivering innovative solutions that address emerging AI-specific threats.This is a strategic role that requires a deep understanding of both AI technologies and cybersecurity principles. You will be responsible for the entire product lifecycle, from ideation and strategy to execution and go-to-market, ensuring our AI security offerings are a market-leading force.At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role and we are open to hiring anywhere in the US, with candidates within ~50 miles of Seattle, WA; San Francisco Bay Area; Boston, MA; Austin, TX; or Washington, DC. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work.What You Will DoDrive strategy and execution for our AI Red Teaming offerings.Develop and maintain a multi-year product roadmap that aligns with the company's overall objectives and the evolving AI threat landscape.Lead the end-to-end product development lifecycle for AI security solutions. Gather and synthesize inputs from internal stakeholders, our security researcher community, customers, and partners.Translate complex customer AI security, as well as safety and trust, challenges into clear, concise and actionable product requirements and user stories in collaboration with Design, Engineering and Customer Operations.Collaborate with Product Marketing to launch and drive adoption of new AI security products and features. Act as a subject matter expert and evangelist for HackerOne's AI security solutions, presenting to customers, prospects, at industry events, and to internal teams.Maintain a deep understanding of the latest advancements in AI (across generative AI & machine learning), AI security research, security for AI systems, and competitive offerings to identify new opportunities and ensure HackerOne remains an innovator in this space.Minimum Qualifications 5+ years of Product Management experience in tech/SaaS businesses.Demonstrated ability to shape and drive AI adoption and strategy across domains by re-architecting security products, processes, and platforms around AI—embedding AI into how solutions are designed, built, and operated to deliver transformative protection against emerging AI threats.A proven track record of successfully launching and scaling technical products / platforms in high-growth businesses involving in-depth cross-functional collaboration and leadership across R&D and go-to-market functions.Deep understanding of cybersecurity technologies with direct product management experience in related cybersecurity fields, such as vulnerability management, penetration testing, application security, and related fields.Strategic thinker who can translate market trends, customer needs, and technical innovations into a clear product vision and actionable roadmap Deep empathy for customers / users in gathering and synthesizing input and a passion for solving their most pressing security challenges. Outstanding communication and leadership skills with a collaborative and team-oriented approach to identifying problems, determining potential solutions, and building consensus around your vision with internal and external stakeholders.Experience using data and metrics to inform product decisions and measure success.Experience leading product development in cloud services.Passion for cybersecurity in helping with HackerOne’s mission of empowering the world to build a safer internetPreferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field.MBA degreeDomain experience with security research / hacking as part of red teaming, penetration testing and/or bug bounty programs, including methods, tools, and types of testing.Strong understanding of AI concepts, common vulnerabilities in AI systems, and the evolving AI threat landscape, including familiarity with AI security frameworks, tools and best practices.Compensation Bands: San Francisco$202K – $247K • Offers EquitySeattle, Austin, DC, Boston$182K – $222K • Offers Equity#LI-Remote#LI-HM1Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance ProgramFlexible Work Stipend*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership Key ResponsibilitiesLead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.Qualifications5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutionsWhy This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💶 Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAbout the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. About the Role As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership What you'll do:Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.What you'll bring:5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions 11,000 - 115,000 a yearThis base range is not including a quarterly bonus, equity, and other benefits. The maximum OTE for this role is 190K, including a 75K bonus. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.Why This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Our mission is to make exceptional healthcare accessible anytime, anywhere, for everyone.At Assort Health, we believe healthcare should feel effortless and connected — quick answers, clear communication, and seamless access to care. That’s why we’re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider’s unique needs.Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort’s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.Since launching in 2023, Assort has managed over 65M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.4/5, and we’ve achieved 11× revenue growth since Q4 2024. We’re scaling rapidly and expanding adoption across the entire healthcare industry.About UsAt Assort Health, we build AI-powered systems that help healthcare organizations deliver faster, clearer, and more human patient experiences. Our AI agents operate directly within real clinical workflows, reducing operational burden and improving access to care at scale.We focus on solving high-impact problems in healthcare operations—designing production-grade AI that clinicians and patients rely on every day. You’ll work closely with engineering, design, sales, and operations to lead new AI products from concept to launch, shaping how intelligent agents reason, act, and collaborate in complex healthcare environments. You will scope out new products and surface area end to end, leading the charge on new product workstreams 0→1. You’ll work directly with the CEO on a small yet quickly growing product team. Your work will directly improve healthcare access and the lives of both patients and providers.What You’ll DoLead Development of High-Performance AI AgentsAs a Product Manager for AI Agents, you’ll partner with engineering, design, and customers to build production-grade AI systems that manage high-volume, high-complexity interactions. You’ll be responsible for taking agents from concept to launch and continuously improving them as new business needs emerge.Work Directly With CustomersYou will engage deeply with customers: across technical, operational, and executive teams, to:Understand workflows, requirements, and bottlenecksDesign and present demos that showcase our capabilitiesCollaborate with technical stakeholders to solve integration challengesTailor and refine agents so they align with real business processesServe as a strategic advisor, helping customers shape long-term AI strategiesBuild strong, trusted relationships across customer organizationsInfluence the Product RoadmapYou’ll work with cross-functional partners to define requirements, prioritize features, and translate customer needs into actionable engineering work. You’ll help ensure we’re building the right capabilities at the right time to support our next phase of product growth.What You Bring3+ years developing and shipping technical productsPrevious experience as a Product Manager or equivalent roleAbility to craft compelling narratives for customers, including executivesStrong communication skills with both technical and non-technical audiencesFamiliarity with modern AI technologies and how they apply to real-world problemsBachelor’s degree in a technical field (or equivalent practical experience)Bonus SkillsExperience building or deploying AI agents or LLM-powered systemsAbility to write or read code: especially Python and TypescriptAbility to prototype and build demos and prototypes using AI coding toolsMBA or comparable business experienceBackground in customer-facing or consulting-style roles influencing product decisionsBenefits & Perks for Assorties💸 Competitive Compensation – Including salary and employee stock options so you share in our success.📚 Lifelong Learning – Annual budget for professional development, plus training opportunities to help you grow.💻 Office Setup Stipend – We’ll outfit your in-office workspace so comfy as it's productive.🩺 Top-Tier Health Coverage – Medical, dental, and vision insurance, because your health comes first.🏖 Unlimited PTO – We trust you to take the time you need to recharge and come back ready to crush it.🥗 Meals & Snacks – Lunch, dinner, and snack breaks that fuel great ideas.💪 Fitness Stipend – Your wellness matters. We reimburse monthly membership costs to support your health.🚆 Commuter Benefits – We cover eligible transportation costs to make your trip to work easier.👵 401(k) – Let us help you plan for the future. We’ve got you covered.How We Work & What We ValueOur team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work—they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result.Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we’d love to hear from you!

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Our mission is to make exceptional healthcare accessible anytime, anywhere, for everyone.At Assort Health, we believe healthcare should feel effortless and connected — quick answers, clear communication, and seamless access to care. That’s why we’re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider’s unique needs.Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort’s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.Since launching in 2023, Assort has managed over 65M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.4/5, and we’ve achieved 11× revenue growth since Q4 2024. We’re scaling rapidly and expanding adoption across the entire healthcare industry.About the RoleWe're on the hunt for driven Senior Engineers to join our team at an exciting stage of our startup's journey. If you're eager to contribute to building and scaling innovative products, this role is your ticket to making a significant impact. You'll gain hands-on experience in a dynamic startup environment, working with and contributing to cutting-edge generative AI and voice/transcription models + technologies.As part of our first 20 Engineers, you will be a cornerstone to our company's growth and success. If you are a self-starter who is ready to wear many hats, build and scale products from zero-one, then this is the perfect role for you. You’ll have lots of autonomy and will need to be comfortable operating in ambiguous situations with an entrepreneurial mindset.What You'll DoYou'll have many responsibilities and will be involved in key decisions alongside the foundersWork closely with our world-class engineering team to develop features and products from the ground up.Enjoy a high degree of autonomy, tasked with solving complex problems in innovative ways.Participate actively in design and development discussions, contributing fresh ideas and perspectives.Engage with healthcare professionals to tailor software solutions that meet real-world needs.Play a role in an agile team, prioritizing rapid development and deployment to meet our ambitious goals.You will develop scalable software solutions that comply with HIPAA and other security standards.What We're Looking For4–8+ years of industry experience, with a proven track record of impact at a major tech company or a high-growth startup.Strong engineering fundamentals and a demonstrated ability to design, build, and scale production-grade applications or systems.Willingness to wear multiple hats—from design and development to testing and occasional support. Comfortable with rapid iteration, experimentation, and learning from failure in a fast-paced environment.Benefits & Perks for Assorties💸 Competitive Compensation – Including salary and employee stock options so you share in our success.📚 Lifelong Learning – Annual budget for professional development, plus training opportunities to help you grow.💻 Office Setup Stipend – We’ll outfit your in-office workspace so comfy as it's productive.🩺 Top-Tier Health Coverage – Medical, dental, and vision insurance, because your health comes first.🏖 Unlimited PTO – We trust you to take the time you need to recharge and come back ready to crush it.🥗 Meals & Snacks – Lunch, dinner, and snack breaks that fuel great ideas.💪 Fitness Stipend – Your wellness matters. We reimburse monthly membership costs to support your health.🚆 Commuter Benefits – We cover eligible transportation costs to make your trip to work easier.👵 401(k) – Let us help you plan for the future. We’ve got you covered.How We Work & What We ValueOur team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work—they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result.Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we’d love to hear from you!

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The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle.In this role, you will...You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like agents. You will work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism.You will contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the fieldYou will develop metrics and tools to analyze errors and understand improvements of our systemsYou will collaborate with engineers on Perception, Planning,Simulation, and Validation to solve the overall Autonomous Driving problem.QualificationsPhD degree in computer science or related field +1y of professional experience (top tier publications can remove the need for the year of experience) or, MSc +5y of professional experience in a relevant field.Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architecturesExperience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelinesFluency in Python with a basic understanding of C++Bonus QualificationsTop tier publications (NeurIPS, ICML, CVPR) 242,000 - 290,000 a yearThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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About AKASAAt AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.About the RoleAs a Client Solutions Software Engineer, you’ll deliver client deployments that empower healthcare revenue cycle teams to work faster, more accurately, and with greater insight. You will work on the lifecycle and deployment of the ML models that power our products.You’ll work closely with client engagement, product, and R&D teams to ensure smooth deployments, ongoing production stability and expansion of our deployment platform.What You'll DoExecute implementation tasks for new deployments — from requirements analysis to configuration, testing, rollout, and support of production health.Work with client engagement teams to guide customers through technical onboarding, integration setup, troubleshooting, and data acquisitionContribute feedback and insights that shape product and platform improvementsWork closely with R&D engineering teams to build robust scalable client solutions Skills & QualificationsBachelor's degree in Computer Science, Engineering, or similar3+ years of professional Python experienceComfortable working with SQL, relational databases, APIs, and ETL pipelinesStrong communication and interpersonal skills with meticulous attention to detailNice to havesFamiliarity with FastAPI, SQLAlchemy, Postgres.Proficiency in Docker, Kubernetes, AWS.CI/CD experience with GitHub Actions.Experience with healthcare data exchange (FHIR, HL7, EDI)Frontend experience (React)What We OfferUnlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parental leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensationBased on market data and other factors, the salary range for this position is $120,000-$150,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid