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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As an Applied Research Engineer at Labelbox, you’ll sit at the junction of advanced AI research and real product impact, with a focus on the data that makes modern agents work—browser interactions, SWE/code traces, GUI sessions, and multi-turn workflows. You’ll drive the data landscape required to advance capable, adaptable agents and help shape Labelbox’s strategy for collecting, synthesizing, and evaluating it. You will possess expertise in LLM agents and planning/execution loops, plus creativity in tackling problems across data design, interaction, and measurement. You’ll publish meaningful results, collaborate with customer researchers in frontier AI labs, and turn prototypes into reliable, scalable features. Your Impact Create frameworks and tools to construct, train, benchmark and evaluate autonomous agent capabilities. Design agent-focused data programs using supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies. Develop data pipelines from diverse sources like code repositories, web browsers, and computer systems. Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models. Engage with research teams in frontier AI labs and the wider AI community to understand evolving agent data needs for frontier models and share best practices. Collaborate closely with frontier AI lab customers to understand requirements and guide model development. Publish research findings in academic journals, conferences, and blog posts. What You Bring Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field. At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers. Experience building and training autonomous agents—tool use, structured outputs, multi-step planning—across browsers/GUI, codebases, and databases using SFT and RL. Constructed and evaluated agentic benchmarks (e.g. SWE-bench, WebArena, τ-bench, OSWorld) and reliability/efficiency suites (e.g. WABER).  Adept at interpreting research literature and quickly turning new ideas into prototypes. Deep understanding of frontier models (autoregressive, diffusion), post-training (SFT, RLVR, RLAIF, RLHF, et al.), and their human data requirements. Proficient in Python, data science libraries and deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Strong analytical and problem-solving abilities in ambiguous situations. Excellent communication skills. Track record of publications in top-tier AI/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, etc.). Labelbox Applied Research At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios. We foster an environment of intellectual curiosity, collaboration, and innovation. We encourage our researchers to explore new ideas, engage in open discussions, and contribute to the wider AI community through publications and conference presentations. Our goal is to be at the forefront of human-centric AI development, setting new standards for how AI systems learn from and interact with humans.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$250,000—$300,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleWe’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.  You have 3+ years of experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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Product Marketing Manager/Associate (Personalization/Data Cloud) Location: Tokyo About Appier Appier is a technology company which aims to provide artificial intelligence platforms to help enterprises solve their most challenging business problems. Appier was established in 2012 by a passionate team of computer scientists and engineers with expertise in AI, multi-agent, data analysis, distributed systems, and marketing. About The Product Marketing Team The product marketing team at Appier is under the Growth and Marketing organization, working closely with product, sales, and customer success teams to drive awareness and adoption. About this role As a Product Marketing Manager, you will play a crucial role in driving the success of Enterprise Solution's go-to-market strategy in different markets, including Japan, South Korea, Taiwan, Hong Kong, and Southeast Asia, and ensuring the continued growth and adoption of our cutting-edge AI-powered solutions. You'll be a key storyteller for Appier, bringing the value of data and personalization to life across all internal and external channels by owning the vertical go-to-market strategy, building competitor playbooks, delivering global training, and being a public figure for the company. Responsibilities Develop and execute go-to-market strategies for Personalization and Data Cloud products by working closely with cross-functional teams such as product management, sales, and customer success.  Conduct market research and competitive analysis to identify customer needs, market trends, and growth opportunities. Develop and maintain a deep understanding of the company's products and services, as well as the target audience and buyer personas. Craft compelling value propositions and messaging that differentiate the company's products in the market and resonate with target audiences. Collaborate with sales teams to develop sales enablement materials, such as presentations, case studies, and product demos. Partner with the broader marketing team to execute marketing tactics that drive awareness and new client meetings. Qualifications [Required] Bachelor's degree in Marketing, Business, or a related field with 2-3 years of experience in (product) marketing or a related role Excellent written and verbal communication skills in Japanese and English, with the ability to craft compelling messaging and tell engaging stories. Experience in creating sales enablement materials, such as sales decks and case studies. Agile and adaptable mindset, with the ability to thrive in a fast-paced, dynamic environment. Proactive and self-driven with a strong attention to detail and the ability to manage multiple projects simultaneously. An appetite for collaboration, driven by the belief that your success is dependent on the success of others around you Enjoyment talking to customers and personally going and testing and figuring out positioning that works Taste for beautiful design, good copy, and attention to detail [Nice to have] Relevant experience in digital marketing roles. Proficiency in additional languages besides English. Experience in B2B marketing or enterprise software solutions. Strong project management skills and the ability to prioritize tasks effectively. A passion for continuous learning and professional development in the field of marketing. Ability to thrive in ambiguity and navigate through complex challenges. A collaborative and team-oriented mindset, with a willingness to support and contribute to the success of the team as a whole. #LI-BD1 #LI-Hybrid

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be DoingWorking in our Defence business unit You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found hereYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Leading on the scope and design of projectsOffering leadership and management to more junior engineers on the team Providing technical expertise to our customersTechnical DeliveryWho We're Looking ForAt Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchUnderstanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesExperience in Software Engineering including programming in Python.Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platformDemonstrable experience with containers and specifically Docker and KubernetesComfortable in a high-growth startup environment.Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.The Prompt Engineer optimizes prompts to generative AI models across NICE's Customer Service Automation (CSA) applications. As part of the CSA Research team, the Prompt Engineer collaborates with multiple groups to ensure our applications deliver the highest quality customer experience. This role partners with global development teams to diagnose and resolve prompt-related issues, define and execute tests for LLM-based systems that are difficult to evaluate using traditional automation tools, and educate teams on advances in prompt engineering. The Prompt Engineer also updates production prompts in line with evolving industry best practices. When customers require novel, custom prompts, the Prompt Engineer works closely with Professional Services and Product Management to capture requirements, design robust solutions, develop and execute test plans, and present results to stakeholders. Responsibilities Diagnose and resolve issues with production prompts. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Collaborate with developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts for new features. Consult with Machine Learning Engineers for complex prompt challenges. Stay informed on advances in prompt engineering. Required Qualifications BS in a technology-related field such as computer science, business intelligence/analytics, or finance. Three years of experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, including differences between major LLM vendors. Strong collaboration skills with cross-functional teams. Excellent communication and presentation abilities for internal and external stakeholders. Experience with Python and at least one web app framework for prototyping (e.g., Streamlit or Flask). Preferred Qualifications Basic AWS resource management, including microservice deployment. Experience with Docker containerization. Experience with both standard and AI-based testing frameworks (e.g., PyTest, DeepEval). Exposure to generative AI application frameworks such as LangChain, LlamaIndex, and griptape.  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewWe're seeking an experienced Platform Engineer who thrives in 0-to-1 environments to join Oumi's engineering team. You'll architect, build, and maintain the core platform services that power our products, working across the full technology stack with a focus on backend systems and infrastructure.What you’ll do:Platform Architecture: Design and implement scalable, maintainable platform architecture from the ground up, making strategic technical decisions that will shape our technology foundationBackend Development: Build robust, high-performance backend services and APIs using Python, with optional Rust for performance-critical componentsFrontend Integration: Collaborate on JavaScript/TypeScript frontend components that integrate with your backend servicesInfrastructure as Code: Implement infrastructure automation using modern DevOps practices and toolsTechnical Leadership: Provide technical guidance on best practices, architecture decisions, and coding standards0-to-1 Development: Convert product requirements into fully functioning systems, taking ownership of features from concept to productionWhat you’ll bring:Experience: Proven experience in software development, with a strong understanding of programming languages such as Python, Rust or Javascript.0-to-1 Track Record: Demonstrated success building systems from scratch in fast-paced environmentsTechnical Expertise:Strong proficiency in Python for backend developmentKnowledge of Rust or willingness to learn for performance-critical componentsFamiliarity with cloud platforms (AWS/GCP/Azure)Experience with containerization (Docker) and orchestration (Kubernetes)System Design: Ability to design clean APIs, scalable architectures, and efficient data modelsDevOps Mindset: Experience with CI/CD pipelines, monitoring, and observability toolsCommunication: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.The Details:Benefits:Competitive salary: $140,000-$190,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and eventsLocation:Hybrid work environment, with offices in:Seattle, WAPalo Alto, CANew York, NY

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AI Researcher Job DescriptionAt AGI Inc., we're not just redefining AI-human interaction—we're creating a world where humans and AI amplify each other's potential. Leveraging breakthrough agentic reasoning capabilities, we aim to bring genuinely useful AGI into everyday life. Backed by years of research, AGI Inc. is pioneering the large-scale deployment of intelligent Consumer AI Agents that simplify, streamline, and elevate everyday experiences.Our team comprises elite ex-entrepreneurs, AI researchers, and product experts from Stanford, Berkeley, Nvidia, and DeepMind, supported by top investors in Silicon Valley. Our founder, Div Garg, is a Stanford AI PhD dropout and previously founded MultiOn, a leading AI Agent startup that introduced browser agents to the world, supported by General Catalyst, Forerunner, Samsung, and Amazon.At AGI Inc., we believe in fusing human insight with cutting-edge AI to craft experiences that are as intuitive as they are groundbreaking, paving the way toward everyday AGI. Our agentic products feel like a natural extension of who you are—an ever-present partner for ideas, projects, and solutions.About the RoleAs an AI Researcher at AGI Inc., you'll be at the forefront of developing novel algorithms and techniques for our browser-based intelligent agents. You'll bridge the gap between theoretical AI research and practical product applications, working on challenges that push the boundaries of what browser agents can accomplish. Your research will directly influence our product roadmap and contribute to the scientific community through publications and open-source contributions. This role offers a unique opportunity to work in an environment that values both academic rigor and real-world impact.Key ResponsibilitiesPioneer Novel Research: Lead research initiatives in areas such as reinforcement learning, multi-agent systems, and natural language understanding to enhance our browser agents' capabilities.Translate Research to Products: Work closely with engineering and product teams to implement research findings into products that deliver tangible value to users.Contribute to the Scientific Community: Publish high-quality research papers at top AI conferences (NeurIPS, ICML, ICLR, ACL) and participate in the open-source AI ecosystem.Develop Technical Roadmaps: Help define our technical research strategy, identifying promising areas that align with our product vision.Mentor and Collaborate: Work with and mentor other researchers and engineers, fostering a culture of scientific excellence and innovation.QualificationsEducation: MS or PhD in Computer Science, Machine Learning, AI, or a related technical field from a top university. Exceptional candidates with bachelor's degrees and equivalent research experience will also be considered.Research Experience: Demonstrated research experience in machine learning, NLP, reinforcement learning, or multimodal systems, evidenced by publications, open-source contributions, or impactful projects.Technical Skills: Strong programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with large language models, web technologies, and browser automation is a plus.Problem-Solving: Exceptional analytical thinking and creativity in approaching complex AI problems with novel solutions.Communication: Ability to explain complex technical concepts clearly and collaborate effectively with cross-functional teams.Startup Mindset: Enthusiasm for fast-paced environments, comfort with ambiguity, and a desire to build products that millions of people will use.Why Join Us?Dual Impact: Contribute to cutting-edge AI research while seeing your work directly impact products used by real people.Resources: Access to substantial compute resources, large datasets, and the latest AI technologies to support your research.Autonomy: Freedom to pursue research directions aligned with our mission, with less bureaucracy than traditional research labs.Equity: Competitive compensation package with significant equity, aligning your success with the company's growth.Community: Work alongside world-class researchers, engineers, and designers who are passionate about advancing the field of AI.How to ApplyWe'd love to see what you've built. Please include your resume, links to your publications or GitHub repositories, and a brief research statement outlining your interests and how they align with our mission.We can't wait to see your contributions to AI—and to welcome you to the AGI Inc. team!

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: You will build and maintain our backend that already handles millions of custom requests daily, and ensure that it’s reliable, performant and exceeds expectations for our customers as we scale. You will also be a steward of our API and ensure that it’s developer-friendly and easy to integrate with.You: Have deep intuition on distributed systems, databases, maintainable code design, and API design. You like to reason about trade-offs between speed, scalability, and developer ergonomics. You care about your work powering products and systems that millions rely on, and about APIs that developers love to use.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! Solutions Engineers @ IroncladSolution Engineers (SEs) are Ironclad Sales Team’s pre-sale technical experts. SEs collaborate closely with prospects and Ironclad’s Sales, Implementation, and Product teams, forming a critical technical overlay to the sales and solution evaluation.At Ironclad, SEs are creative, value-driven technology experts that love to engage with people. They drive sales through clear communication focusing on customer use cases, technology infrastructure, and solution design. With a comprehensive understanding of Ironclad’s platform, SEs empower prospects to understand how Ironclad can work for them.SEs also help Ironclad improve our platform: the best SEs help capture the most challenging technical requirements observed in the market and translate them into actionable insights for Ironclad’s Product team to develop.Requirements, you must be:Mission-oriented: You’re excited to work on a team that operates at the intersection of human talent and software; you want to put that passion to work in an industry that still skews heavily towards human/manual work. You want to work at a place where you can have an outsized impact.Exceptional communicator: You’re a strong verbal communicator, able to capture an audience with clear and confident language. You can understand and empathize with people even if you have limited subject-matter knowledge of their area of expertise.Technically proficient: You’re an expert at technical configuration and familiar with or have an appetite for learning programming languages such as JSON, HTML and, ideally, JavaScript or similar languages. You recognize that your ability and willingness to develop these skills is an important part of what makes SEs successful in their role as Ironclad’s prospect-facing solution experts.Creative problem solver: You listen well and understand customers' needs. You think outside the box to solve their challenges and deliver a solution that will drive value for the customer.Team player: You can work effectively in teams of technical and non-technical individuals. You are energized by collaborating with diverse teams.Independent: You can learn and drive outcomes with minimal supervision. You have a bias toward action and gravitate towards environments where you have an outsized influence on the success of outcomes for customers and colleagues. You are exceptionally good at making trade-offs based on incomplete data.Experience: 3+ years of Solution Engineering experience. Experience in AI and LLM-based applications.Responsibilities:Listen to prospects' needs and goals. Listening is our #1 strength.Design, build and present custom demonstrations of the Ironclad platform using a prospect’s own contracts and workflows.Build strong relationships with prospects to help Ironclad’s most important and strategic prospects evaluate and ultimately select Ironclad.Collaborate with Account Executives and other internal partners to progress an evaluation forward smoothly.Bring actionable insights back to Ironclad’s Product Team to help us evolve our core product.Partner with your aligned Sales Leader to support pipeline generating activities and overall team success Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversOTE Range: $160,000 - $190,000The OTE range represents the minimum and maximum of the OTE range for this position based at our San Francisco headquarters. The OTE offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: You will design, build, and refine the product experience that serves as the best showcase of what our powerful APIs are capable of. You will build the developer API playground that developers love to use. You will ensure our front-end is fast, reliable, and delightful to use, while maintaining a codebase that’s scalable and easy to evolve.You: Are an expert at modern front-end frameworks, maintainable UI architecture, and building UIs that feel fast and snappy. You care about your work feeling seamless and intuitive to users, and about building interfaces that have the highest level of polish.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs an Applied AI Engineer at Console, you’ll work on the core agent loop and the many AI flows that make our product feel like magic. You will work closely with the product team and leadership to ship experiences which delight users and "just work".Some examples of work you might do:Building a copilot agent that human agents can delegate work to and get 10x more doneArchitecting product flows that collect user feedback and feed into online evals for rapid iterationLearning from unresolved tickets and suggesting new automations to customers automaticallyYou'll have room to be creative, own projects end-to-end, and shape both the platform and the product vision.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou're a product builder with strong generalist technical skills, and you know how to maximize your impact to deliver great experiences for users and customersYou have great taste; you understand that the best AI experiences feel great to use and you care deeply about getting the details rightYou carefully study data to discover qualitative insights from individual traces and can build quantitative systems to evaluate performance at scaleYou're immersed in the world of frontier AI and constantly learning about effective AI architectureYou've worked on AI systems with real usage and know how to iterate effectively on production agentsRequirements4+ years of full-time software engineering experience, with a recent focus on applied AI product engineeringComfortable working and contributing across the entire stack (Typescript/Node/React)Obsessed with building incredible product experiences for users, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Forward Deployed Engineer at Console, you’ll be responsible for making customers successful with the product. You'll work with sales, product, engineering, and directly with leadership to understand and solve customer requests, and help fold the learnings back into the core product.Some examples of work you might do:Help a front-line support agent integrate Console to automate a workflow they've been forced to solve manually for yearsBuild AI tooling to analyze tickets and surface insights to prospective customers on where they can increase automationDrive product decision making that turns your customer insights into platform valueYou'll have room to be creative, work autonomously with customers, and shape both the platform and the product vision.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou're a fast learner with high-aptitude and strong generalist intuitions that you can transfer across domainsYou're technical and can think through technical problems; you've built things from scratch and like to understand how systems work under the hoodYou enjoy working with people and feel a sense of personal responsibility to customers and teammates who rely on youYou aspire to be a founder and you want to learn as much as you can, as fast as you can, across multiple domainsRequirements2+ years of full-time experience working in a technical role or as a software engineerHands-on experience working across multiple functions or domainsObsessed with building incredible product experiences for users, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Product Engineer at Console, you’ll work on the main application surfaces and core flows that make our product work well. You will work closely with the product team and leadership to ship experiences which .Some examples of work you might do:Build out new product modules that compete against existing point solutionsDelight customers by delivering on feature requests the same day they requested themAdd end-to-end support for new support channels and entry-pointsYou'll have room to be creative, own projects end-to-end, and shape both the platform and the product vision.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou're a product builder with strong generalist technical skills, and you know how to maximize your impact to deliver great experiences for users and customersYou have deep empathy for customer problems and You're good at managing your own work and can break down product ideas into clear action items and milestonesYou can drive feature development end-to-end, delighting users with great UX one day and building an efficient search index the next.Requirements4+ years of full-time experience in a product focused software engineering roleComfortable working and contributing across the entire stack (Typescript/Node/React)Obsessed with building incredible product experiences for users, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs an Enterprise Account Executive at Harvey within our law firm segment, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with “BigLaw” firms, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work.What You’ll DoDevelop and manage a named account list and be responsible for the full sales cycle from prospecting to contracting to onboarding, launching, and growing new users.Achieve and exceed revenue targets and other key sales metrics.Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals.Build strong, long-term relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs.Conduct product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients.Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts.What You HaveTrack record of selling complex software solutions to professional services firms, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology.Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences.Passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently.Excited about prospecting, and capable of leading a sales cycle from start to finish, quarterbacking cross-functional resources (solutions architects, product managers, etc.).Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and helping create sales resources to drive our success.Please find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startupSolving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patientsCutting-edge tech frontier: You'll design both visual and voice experiences for breakthrough AI technology that's transforming healthcare communicationIn-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive cultureWhat you'll be working onOwn our entire design language: Define Clarion's brand identity across all touchpoints—from marketing website to product interfaces to sales materials—ensuring we stand out in healthcareDesign AI voice experiences that feel human: Craft conversation flows, dialogue scripts, and interaction patterns that make our AI agents sound natural, empathetic, and trustworthy to patientsCreate intuitive product interfaces: Build dashboards and tools that make complex AI capabilities feel simple for overwhelmed healthcare teamsBridge the visual and auditory: Design cohesive experiences where what customers see perfectly complements what patients hear during AI conversationsBuild our design system from scratch: Establish visual guidelines, component libraries, and voice interaction patterns that scale as we growShip brand experiences at startup speed: Create everything from pitch decks to product demos to conference materials that make healthcare buyers stop and pay attentionRequirements3+ years of design experience: Portfolio showing both brand and product design work, with ability to create cohesive experiences across mediumsFull-stack designer: Comfortable moving from brand strategy to UI design to copywriting within the same daySystems thinker: Can create scalable design frameworks for both visual and conversational interfacesFigma fluent: Expert-level proficiency in design tools, with ability to create everything from logos to prototypesIn-person collaboration: Excited to work from our NYC office dailyYou are a good fit ifYou believe great design spans all senses—what people see, hear, and feel when interacting with a productYou're fascinated by making AI conversations feel natural and human, not robotic or scriptedYou can write copy that sounds like a compassionate healthcare worker, not a tech companyYou want to own both how Clarion looks and how it sounds to millions of patientsYou're excited to define a brand that stands out in the sea of sterile healthcare techYou measure success by both user delight and business impactInteresting Design ChallengesMake AI feel human: Design voice scripts and interfaces that help patients trust they're getting real help, not talking to a robotSmooth handoffs between AI and staff: Create seamless transitions when a conversation needs to move from AI to a human without confusing or frustrating the patientSimplify complex healthcare workflows: Turn chaotic medical processes into clean, intuitive designs that busy staff can use without trainingShow conversations clearly: Design dashboards that help staff quickly understand what happened in AI-patient calls and spot important issuesGive staff the right amount of control: Build systems that let healthcare teams oversee AI agents without creating extra work or slowing things downConnect what's heard with what's seen: Make sure the AI's voice conversations match perfectly with what staff see on their screensWhat we offerDirect mentorship: Work closely with our founding team and shape both product and brand direction from day oneMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your designs—both visual and voice—will directly improve healthcare access for millionsInterview ProcessWe'll get back to you within 24 hours after each step:First Chat (20 min) [Virtual]: Quick conversation about your design philosophy and experience in complex product spacesPortfolio Review (45 min) [Virtual]: Walk us through 2-3 projects that showcase your design process from research to shipped productDesign Exercise (Take-home): Tackle a real challenge we're facing around AI-patient communication interfacesTeam Day (Half-day) [In-Person]: Visit our NYC office for a collaborative design session, meet the team, and see how we work togetherIf you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

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About WisprWispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.About the RoleAs a ML engineer at Wispr, you’ll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs with fine-tuning and RL.What are we looking for?Previous founding or startup experienceExperience optimizing ML inference or engineering systems for research teamsFluency in Python and LLM developmentAttention to detail and eagerness to learnAptitude and clarity of thoughtCreativity, excellence in engineering, and code velocityWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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About WisprWispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.About the RoleAs a ML scientist at Wispr, you’ll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs. You'll be primarily responsible for ML personalization, training speech models, and using fine-tuning and RL techniques to improve LLMs.What are we looking for?PhD in machine learning or related field (neuroscience, EE, etc)Strong publication track record at top conferences (ICML, NeurIPS, ICLR, ICASSP)Fluency in Python and LLM developmentAttention to detail and eagerness to learnAptitude and clarity of thoughtCreativity in R&D, excellence in engineering, and code velocityWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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Hey! We're team Granola 👋  If you haven't already, you should check out what we're building, and why you should work here.We're looking for an Product Engineer focussed on the Backend to help us scale our systems to unlock Granola for the next 100x users.In this role, you will deep dive into scaling challenges, build secure and reliable infrastructure, and develop robust backend solutions that power exciting new features.In this role, you will:Own the evolution and scaling of our backend infrastructureDesign and implement performant APIs and servicesBuild infrastructure to support cutting-edge AI capabilitiesOptimise database performance and query efficiencyContinuously improve reliability and observability through enhanced monitoring and alertingCollaborate cross-functionally to ensure our infrastructure supports continuous product innovationYour background looks something like:Engineering experience in tech and product-driven environmentsStrong proficiency in TypeScript and Node.jsHands-on experience with cloud infrastructure and infrastructure as code (we build on AWS using Terraform)Deep knowledge of relational databases (we use PostgreSQL)Familiarity with serverless architectures (we love lambdas!)Solid understanding of security best practices and performance optimisationAs a person, you…Are first and foremost a builderAre excited to work in-person from our office in London (most of the time)Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)Value working with people who are kind, ambitious, and pragmaticHave an interest in infrastructure for AI/ML (direct experience is a bonus, but not required)Thrive in a fast-paced environment with evolving requirements and shifting prioritiesAbout the opportunityWe are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

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About WisprWispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.About the RoleAs a software engineer at Wispr, you’ll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs.What are we looking for?Previous founding or startup experienceFluency in Typescript, React, and PythonUser-focused design intuition and design tasteAttention to detail and eagerness to learnAptitude and clarity of thoughtCreativity, excellence in engineering, and code velocityWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.