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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About the role: As a Staff Product Engineer at Replit, you’ll work closely with other product and platform engineers, designers, sales representative, and product managers to build features that help users collaborate with their team to go from idea to software fast. You’ll be at the forefront of shaping and experimenting on what our tens of millions of users love. You will:Help lead major projects and take new products from 0->1Identify the hardest technical and/or quality problems holding us back, and then build solutionsChart high level technical direction and follow up to make sure those projects come together to deliver on resultsMentor and develop new senior engineers to help grow the teamShip new features and build infrastructure using: TypeScript, React, CSS, GraphQL, Node.js, and PostgresRequired skills and experience:A minimum of 7 years of professional software development experienceExperience in a technical leadership role, working cross functionallyWorking experience building full stack applications with TypeScriptWorking experience building directly for usersBonus Points: You’re excited about the future of programming and have experience working with IDEs, terminals, or other common developer toolsYou’ve had previous experience working at a startup in a cross-functional engineering roleFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program ⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonoumous Work Environement 🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at Replit Operating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.

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JOB ID: FEQ426R313 Location:  London, UK As a Delivery Solutions Architect Manager, your role is to build and lead a team of Delivery Solution Architects (DSAs). You work in close collaboration with the Sales, Pre-Sales, Professional Services and Partners teams across the UK to shape the post-sales delivery strategy for our major customers and will report to the UK SSA & DSA leader. DSAs collaborate with sales and engineering teams to drive our customers' adoption and growth. They guide complex customers to maximise platform value and ROI. This hybrid role combines commercial skills to foster customer relationships and drive growth with technical expertise across Databricks products. They are engaged at all organisational levels to drive adoption. Reporting to the Senior Manager, Field Engineering Your role will have 3 main pillars: People: Hire, coach and support a diverse team able to ensure our customers’ success in their roadmap delivery Business: You will contribute to the region's growth by positioning your team’s services with our customers and generating a continuous pipeline of DSA subscriptions. Leadership: You will be the technical sponsor and thought leader for a number of selected customers.  You and your team will contribute to the creation of assets to build the Delivery Solution Architect practice and improve effectiveness and consistency in working with customers. The impact you will have: Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (business value, usage growth, career growth and hiring) Assign accounts and distribute work across individuals for optimal customer coverage and team balance Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology Partner with Sales, pre-sales and professional services teams to accelerate the growth of customers Work with teams to reduce customer risk and help your team with escalations. Lead team activities to monitor customer progress and forecast growth Provide input to grow and improve internal processes and customer success service offerings Promote cross-functional programs, plans, and documentation What we look for: 7+ years of experience in a customer-facing role Experience leading a team of pre- or post-sale consultants/solution architects, technical account managers or customer success engineers. Experience in organisational and financial planning (e.g revenue forecast) on a team/department level Conversant with business issues our customers face today, and likely big data use cases in different industries About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.OpportunityDeepgram is seeking a Senior Pre-Sales Solutions Engineer to join our Applied Engineering team. While you'll have the opportunity to contribute across the team's various responsibilities (including pre-sales, implementation, and customer support), your primary focus will be driving technical pre-sales engagements with our prospects, customers, and partners. In this role, you will be the technical authority who bridges the gap between our state-of-the-art AI speech technology and customer business needs. You'll collaborate closely with our sales team to craft compelling technical solutions, provide technical validation, build proof-of-concepts, and demonstrate the value of our platform to technical decision makers. Your deep engineering expertise combined with consultative sales skills will be crucial in navigating complex sales cycles and establishing Deepgram as the preferred Voice AI partner. As a senior member of the Applied Engineering team, you'll influence the team’s vision, product strategy based on market insights, and contribute to the evolution of our pre-sales methodology.About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a Senior Applied Engineer, you'll be primarily focused on the pre-sales aspects of this journey while having opportunities to contribute to the full customer lifecycle.What You’ll DoLead technical discovery and solution design for enterprise prospects and customersArchitect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases Provide expert guidance on API integration, performance optimization, and deployment strategies Partner with Account Executives to navigate technical objections and accelerate the sales cycle Contribute to technical content creation including implementation guides, reference architectures, and best practices Mentor junior team members and share technical knowledge across the organizationRepresent the voice of the customer to product and engineering teamsYour First 90 Days First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Shadow senior team members on customer calls and begin building technical demos. Gain proficiency with our core APIs and documentation. 60 Days: Lead technical discovery calls with account executives, and develop custom proof-of-concepts for prospects. Begin contributing to technical content. Participate in sales strategy sessions and provide technical insights to deals in progress. 90 Days: Own the technical relationship with assigned accounts. Develop and present complex solutions addressing specific customer challenges. Begin mentoring newer team members and contributing to the pre-sales methodology.You’ll Love This Role If YouAre passionate about translating complex technical capabilities into business valueThrive in consultative customer environments where you can showcase your technical expertise Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility Find satisfaction in seeing your technical solutions drive customer adoption and success Are energized by staying at the forefront of AI and speech technologyIt’s Important To Us That You Have5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages Proven track record of successfully navigating complex technical sales cyclesExperience building and demonstrating proof-of-concepts or technical solutions to diverse audiences Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders It Would Be Great if You Had Experience with speech recognition, NLP, AI/Voice agents, or related AI technologiesExperience building customer-facing demos and sample codeKnowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s)Experience with API-first products and developer tools Background in sales methodologies such as Triangle, MEDDIC, or Solution SellingBacked by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco, San Jose or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. The Lambda Core Services team builds and operates release engineering, cloud automation, and workflow systems for our AI cloud product suite. We provide CI/CD tooling and artifact management to support the build/deploy process for our services. We also automate configuration of our AWS and other SaaS resources and manage AWS usage for all of Lambda engineering. Keeping the internal product and engineering teams moving quickly and delivering quality is what makes us tick.Along with the Platform Engineering organization, we help to build the foundations that unlock product excellence and a highly reliable experience for our customers. About the Role:We are seeking a seasoned Engineering Manager with deep experience in both release engineering and the management of large-scale cloud deployments. You will hire and guide a team of platform engineers in building out critical pillars of our stack. You will lead the team in designing, deploying, scaling, and supporting these solutions.Your role is not just to manage people, but to coordinate the delivery of platform solutions to engineering customers within Lambda. This is a unique opportunity to work at the intersection of platform engineering and the rapidly evolving field of AI infrastructure.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a team of high-performing platform engineers and SREs.Foster a culture of technical excellence, collaboration, and customer service.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables.Technical Strategy & Execution:Work with the engineering team to drive strategy for internal CI/CD and Cloud services.Develop self-service abstractions to make our platform tooling easier to adopt and use.Lead the broader engineering organization in best-practices adoption of CI/CD, Workflow, and Cloud services.Manage costs of both vendors and internally developed platforms.Lead team in the continued development of our existing CI/CD solutions based on Buildkite and Github Actions.Lead team in the expansion of our Terraform / Atlantis infrastructure automation platform.Guide Lambda engineering in utilization of AWS services in line with our technical standards.Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Identify gaps in our platform engineering posture and drive resolution.Lead the team in supporting our internal customers from across Lambda engineering.Cross-Functional Collaboration:Work closely with Lambda product engineering teams on requirements and planning to meet their needs.Work to understand the needs of engineering teams and drive our Platform solutions towards self-service.Manage a short list of vendors that provide SaaS solutions used at Lambda.YouExperience:7+ years of experience in either Release Engineering or Platform Engineering with at least 3 years in a management or lead role.Demonstrated experience leading a team of engineers and SREs on complex, cross-functional projects in a fast-paced startup environment.Experience managing, monitoring, and scaling CI/CD platforms.Deep experience using and operating AWS services.Solid background in software engineering and the SDLC.Strong project management skills, leading planning, project execution, and delivery of team outcomes on schedule.Experience building a high-performance team through deliberate hiring, upskilling, performance-management, and expectation setting.Nice to HaveExperience:Experience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects).Experience driving organizational improvements (processes, systems, etc.)Experience managing AWS service usage across a broader engineering organization.Experience in AWS spend management.Experience designing solutions using Temporal workflows; ability to act as an internal consultant for Temporal.Experience with Kubernetes.Experience designing scalable distributed systems.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. 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. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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📐 About this roleWe’re looking for a Strategic customer success manager to lead AI powered transformation for our Fortune 50 customers in the CPG industry. This role is designed for an experienced professional with deep expertise in CPG who thrives on driving innovation within this ecosystem. The ideal candidate is passionate about integrating AI solutions into core CPG workflows, identifying tangible business value, and building strong, strategic partnerships with customers.As our Strategic customer success manager, you’ll be pivotal in refining our processes for onboarding, adoption, and retention within the CPG sector. With an NRR of +130%, and GRR is +95%, you’ll be building on a world-class foundation to drive even greater success.You'll be reporting to the Director of customer success and be working very closely with our other customer success managers in building a world class CS org.🦸🏻‍♀️ Your responsibilities:Lead strategic relationships with senior stakeholders across Fortune 50 CPG customers, acting as the main point of contact and trusted advisorDrive AI adoption within customer organizations by developing tailored success plans that align AI solutions with key business objectives and measurable outcomesManage complex, high-value programs that focus on AI - powered transformation, ensuring seamless execution, adoption, and business value realizationOwn the full customer renewal process, including forecasting, negotiating, and proposal creatingBe accountable for customer retention: Drive both Gross and Net dollar retention rate targets for your customersCollaborate closely with Sales to identify and execute expansion opportunities, ensuring mutual growth through cross-sell and up-sell initiativesAdvocate for customer needs internally: Leverage CPG-specific insights to influence product strategy and enhance the customer experienceLeverage data analytics: Analyze product usage and adoption data to uncover valuable insights, empowering customer champions with smarter decision-makingLead the customer journey: Ensure a seamless experience from onboarding through renewals and expansions, always focusing on long-term customer success and satisfaction⭐️ Is this you?7+ years experience in CPG, ideally with in-house expertise3-5+ years experience in a customer facing saas or consulting role, with experience in driving business transformation, strategy, or enablementProven ability to engage C-level stakeholders, with experience influencing executive decision-makers and driving adoption at the highest levelsStrong understanding of CPG industry dynamics, including its challenges, opportunities, and specific needs for digital transformationA track record of leading complex programs with a focus on strategic alignment, KPIs, and driving large-scale adoptionData driven with strong business acumen: Ability to link product value and AI solutions to measurable business outcomesExcellent communication skills: A skilled storyteller who can clearly articulate value propositions and insights to both technical and non-technical audiencesProactive, self-motivated, and highly organized, thriving in a fast-paced, high-growth environmentA natural affinity to our values of Connect, Challenge, Own🌟 Preferred skillsBackground in management consulting, particularly with a focus on AI or digital transformation in CPGExperience in operational transformationExperience managing large-scale change management programs or AI rollouts in complex organizationsExceptional presentation skills: Able to create and deliver compelling narratives to executive audiences, driving strategic initiatives forward 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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About LangChainAt LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.About the roleIn person 5 days/week in San Francisco, CA or New York, NYWe’re hiring a Senior QA / SDET Engineer to own quality across our LangGraph Cloud/Platform and LangSmith products. You’ll define the test strategy, build automation and tooling, and turn flaky, slow, or manual checks into fast, reliable, and observable pipelines. You’ll work closely with Infra, Backend, and Frontend to ship with confidence across Kubernetes-based services, APIs, and UI flows—and you’ll help pioneer quality practices specific to LLM applications (e.g., prompt regressions and evaluation suites).Own test strategy end-to-end across APIs, services, UI, data, and infra (K8s/Terraform/Helm).Build and maintain automation: API/integration tests (Python/pytest), E2E/browser tests (Playwright), load/soak tests (k6), contract tests, and smoke checks for production.Stand up ephemeral test environments in Kubernetes for PRs and release candidates; seed test data and run hermetic suites.Shift-left quality in CI/CD (GitHub Actions): parallelization, caching, deterministic seeds, flake tracking, and quality gates.Observability for tests: rich failure artifacts (videos, logs, traces), Datadog dashboards, and actionable alerts.Performance & reliability: baseline SLIs/SLOs for critical paths; capacity tests and regression detection.Partner on incident workflows: reproduce issues, add focused regression tests, and improve runbooks/postmortems.Documentation: high-signal test plans, playbooks, and contributor guidelines for writing good tests.Example projects you might ownA PR-ephemeral E2E harness that deploys a minimal LangSmith stack on Docker in CI and runs Playwright + API suites against seeded tenants.A k6 scenario that simulates multi-tenant traffic with queue/backpressure, surfacing p95/p99 latency regressions per release.A flake-budget system that auto-quarantines flaky tests, opens issues with artifacts, and tracks “time-to-deflake”.How to be successful in this role3+ years as QA/SDET/Software Engineer focused on test automation for distributed or cloud products.Strong hands-on experience with Python (pytest) and TypeScript (Playwright, Jest or equivalent).Familiarity with CI/CD (GitHub Actions preferred) and making pipelines fast, parallel, and reliable.Solid understanding of API testing, mocking/stubbing, and data setup/teardown.Comfortable defining quality bars, authoring test plans, and driving cross-team execution.BonusLoad/perf testing (k6), observability (Datadog, OpenTelemetry), and property-based testing (Hypothesis).Experience testing services running on Kubernetes and containers; comfortable with logs, events, and basic kubectl.Infra awareness: Helm/Terraform basics, Kubernetes networking, and secrets management.SQL fluency for data validation (Postgres/ClickHouse/BigQuery).Go/Node/React familiarity for targeted white-box tests and testability improvements.Compensation & BenefitsCompetitive salary and equity stake for role and stage of company. Commensurate with experience.Annual salary range: $145,000-$195,000 USD for Senior Engineers

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleWe are looking for freelance Audiobook Specialists to join our fast-growing Productions team. Productions is a new marketplace that brings together our AI audio tools and a network of human experts to unlock high-quality, human-edited transcripts, subtitles, dubs, audiobooks and more at scale for our users and customers. While Productions is just getting started, we already manage content workflows for some of the world’s top YouTube channels, book publishers, and media & entertainment businesses.Here’s what you can expect on our team:Editing and polishing AI-generated audiobook narrations for natural flow and consistencyEnsuring character voices, tone, and pacing align with the author’s intentVoice casting and direction to match the style of the bookCollaborating with our audio engineering and mixing teams on mastering and post-productionCompetitive task-based compensationFlexible workload and schedulingRequirements:Native or near-native fluency in English (and/or other supported languages)Prior experience in audiobook narration, production, or editingStrong attention to detail and commitment to audio and linguistic accuracyAbility to work independently and deliver high-quality work on timeBonus:Previous work with publishers, audiobook production companies, or audio post-production teamsExperience using the ElevenLabs platform and/or other AI-assisted narration toolsProficiency in audiobook post-processing and editing (meeting industry specs, mastering, and using a DAW such as Pro Tools, Audition, or Reaper)This role is remote and can be executed globally. #LI-Remote

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About LightfieldLightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis of customer activity and powerful automation.Unlike traditional CRMs, Lightfield continuously learns from how you sell and who you sell to, directly from the words of customers and actual workflows in the system. With this data, Lightfield proactively manages customer tasks, automates personalized customer communication, and delivers the visibility and insights needed for teams to continually refine their go-to-market strategy.The company is initially focused on becoming the first comprehensive system of record and go-to-market platform for high-growth technology companies. With a flexible and scalable model for data capture and organization, Lightfield is designed to be the last CRM and GTM-automation tool our companies will ever need.Our team previously built Tome, a generative AI presentation product used by over 25 million people, gaining deep expertise in context management, effective evaluation loops, and user-interaction design for generative AI. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, and Salesforce.About the roleWe’re looking for an experienced senior/staff engineer (5+ years of experience) who is product-minded, eager to tackle the challenge of building highly scalable, performant, and reliable features and systems that deliver exceptionally innovative AI product experiences. At Lightfield, engineers take end-to-end ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what’s possible in applied AI systems development. You’ll work alongside a talented team to deliver industry-leading solutions and play a key role in shaping Lightfield’s product and technical vision.What you’ll doCollaborate with product leaders to define strategic initiatives, identify critical customer problems, and drive requirements into technical execution.Build and maintain complex full-stack product features and systems, end-to-end, ensuring reliability, scalability, and performance.Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement.Lead technical design discussions, mentor teammates at multiple levels, conduct thorough code reviews, and help set engineering best practices and standards.Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing.Who you are5+ years of experience in software development, with a strong background in both front-end and back-end technologies.Experience building large-scale, high-performance, and mission-critical systems that support complex customer workflows and large-scale data processing.You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them.You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.Proven ability to design, architect, and scale distributed systems in production environments.Strong fundamentals in software engineering, with a degree in Computer Science or a related field (or equivalent industry experience).Thrives in ambiguity, able to independently scope, plan, and lead projects while delivering results in a fast-moving environment.Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable.Benefits & PerksCompetitive salaryMeaningful early equityHealth insurance (medical, dental, vision)3 weeks of PTO11 paid company holidays + we enjoy a winter holiday break3 months of paid family leaveWednesdays work from homeRegular team dinners, events, offsites, and retreats401k planOther perks include: commuter and lunch stipend

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We are an applied AI lab building end-to-end software agents.We’re the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.About the RoleAt Cognition, customers are our highest priority. Deployed Engineers (DEs) are customer-facing technical experts who help our customers maximize the value they get out of Devin. You'll lead all technical aspects of our pre-sales process, designing compelling product demos, executing pilots, and working closely with engineering organizations to identify and delegate the right use cases to Devin. Beyond initial engagement, you'll design and deliver ongoing training programs and enablement resources to help customers roll out Devin to thousands of engineers.You’ll be successful in this role if you have a technical background – either studied computer science or have extensive experience leading highly technical sales engagements – and if you love building, and if you embody the drive and grit required to win in a fast-paced, high-intensity environment.In this role, you will:Own all technical aspects of the customer lifecycle—from deployment through activation, making sure our customers are successful using DevinWork closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributorBuild deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilizationBuild! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the teamBe the customer oracle! Exercise your product instincts to help set the roadmapRequirements for the role:Degree in a STEM fieldProven track record of successful enterprise deployments in previous GTM or forward deployed engineering rolesYou’re a natural relationship-builder, an excellent communicator and feel comfortable talking about complex technical topics with customers in all roles and levelsThrive in ambiguous and rapidly changing environments — you’re willing to move fast and quickly grow in scope and responsibilityYou have a demonstrated exceptional ability to learnYou might excel if you…have sold highly technical productshave worked as a software engineerpreviously founded a startupare a competitive, highly ambitious person who loves working in high-intensity environmentsthrive in roles that require you to context switch quickly and handle a broad range of technical and non-technical problemslike grinding

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About the teamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleWe are seeking a technically proficient, business-minded Solutions Architect to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead.This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.Provide proactive guidance to maximize business impact and accelerate application development.Experiment and prototype alongside customers, demonstrating practical use cases.Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.Synthesize and deliver valuable feedback to the Product and Research teams.Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.You’ll thrive in this role if you:Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.Have passion for startups and a belief in their potential to become future large enterprises.Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.Built and/or delivered prototypes on top of our API platform.Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Brain Co.Brain Co. is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary AI Product Engineer with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI Product Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If You:Are eager to travel to customer locations globally for 6+ months and work directly with SMEs and end-usersMinimum 2+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroExperience with front-end and back-end technologies, microservices, and cloud platformsExperience with modern web tooling such as React, Typescript, RESTful APIs, and database management systemsExhibit excellent problem-solving and analytical skills, with a proactive approach to challengesEnjoys working collaboratively with cross-functional teamsThrive in fast-paced environments where priorities or deadlines may compete.Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job doneNice to Have:Experience working on on-site engineering projects or in client-facing roles (Forward-Deployed Engineer, Solutions Engineer, Integration Engineer, Sales Engineer, Customer Engineer)Knowledge of Arabic or other regional languages is a plus.Possess a strong foundation in software design principles, data structures, and algorithmsHold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related fieldBenefitsCompetitive salary plus equityCommuter benefits401(k)Medical, Dental and VisionUnlimited PTO

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for an Application Security Engineer with a primary focus on ensuring that our entire technology stack is free of software vulnerabilities (CVEs). This role is responsible for securing our base OS images, ensuring all open-source software (OSS) dependencies are scanned and patched, and integrating cutting-edge security tools into our CI/CD pipeline. The ideal candidate will drive the adoption of solutions like Google’s Assured Open Source Software (OSS) and explore alternative approaches to enhance software security. You will: Implement and improve the vulnerability management lifecycle, ensuring our entire tech stack is free from known vulnerabilities/CVEs. Continuously scan, monitor, and patch OSS dependencies to mitigate supply chain risks and enforce best practices for dependency management. Work closely with engineering teams to integrate state-of-the-art SAST, DAST, and dependency scanning tools into the CI/CD pipeline to detect and remediate vulnerabilities early. Define and maintain best practices for secure coding to ensure all code developed by Glean engineers is free from vulnerabilities. Ensure secure posture in SDLC by securing designs, conducting secure code reviews and penetration testing the features. Develop automated security validation tests to enforce vulnerability-free deployments across the stack. Lead the adoption and, if necessary, develop custom security solutions to manage and mitigate security risks at scale. Provide security guidance, training, and mentorship to engineering teams to foster a security-first culture at Glean. About you: BA/BS in Computer Science, Cybersecurity, or a related field (or equivalent industry experience). 5+ years of experience in application security and vulnerability management. Deep understanding of software security vulnerabilities, including CVEs, OWASP Top 10, and supply chain risks. Deep understanding security design principles including but not limited to authentication, authorisation, RBAC, database security. Experience with SAST, DAST, dependency scanning, and vulnerability management tools (e.g., Snyk, GitHub Dependabot, Trivy, Clair, Burp Suite, OWASP ZAP). Strong familiarity with package managers (npm, pip, Maven, Go modules) and securing open-source dependencies. Coding experience in languages such as Go, Python, Java, or C++ to develop security test cases and tooling. Hands-on experience with cloud-native security best practices across AWS, GCP, or Azure. Knowledge of container security, Kubernetes security, and securing microservices architectures. Ability to lead cross-functional initiatives and drive security adoption within engineering teams. A strong proactive approach to security, identifying risks before they become problems. Excellent problem-solving skills and the ability to balance security with performance and usability. Experience working in fast-paced, highly collaborative environments where security is a shared responsibility. Passion for open-source security and keeping up with the latest trends in software vulnerability management. Location: This role is hybrid (3 days a week in our Bangalore office) We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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Building the Open Superintelligence Lab Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others. Role ImpactThis is a customer facing role at the intersection of cutting-edge RL/post-training methods and applied agent systems. You’ll have a direct impact on shaping how advanced models are aligned, deployed, and used in the real world by:Advancing Agent Capabilities: Designing and iterating on next-generation AI agents that tackle real workloads—workflow automation, reasoning-intensive tasks, and decision-making at scale.Building Robust Infrastructure: Developing the distributed systems and coordination frameworks that enable these agents to operate reliably, efficiently, and at massive scale.Bridge Between Customers & Research: Translate customer needs into clear technical requirements that guide product and research priorities.Prototype in the Field: Rapidly design and deploy agents, evals, and harnesses alongside customers to validate solutions. Customer-Facing EngineeringWork side-by-side with customers to deeply understand workflows and bottlenecks.Prototype agents and eval harnesses tailored to real use cases, then hand off hardened systems to core teams.Translate customer insights into roadmap and research direction.Post-training & Reinforcement LearningDesign and implement novel RL and post-training methods (RLHF, RLVR, GRPO, etc.) to align large models with domain-specific tasks.Build evaluation harnesses and verifiers to measure reasoning, robustness, and agentic behavior in real-world workflows.Prototype multi-agent and memory-augmented systems to expand capabilities for customer-facing solutions.Agent Development & InfrastructureRapidly prototype and iterate on AI agents for automation, workflow orchestration, and decision-making.Extend and integrate with agent frameworks to support evolving feature requests and performance requirements.Architect and maintain distributed training/inference pipelines, ensuring scalability and cost efficiency.Develop observability and monitoring (Prometheus, Grafana, tracing) to ensure reliability and performance in production deployments..RequirementsStrong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment.Deep expertise in distributed training/inference frameworks (e.g., vLLM, sglang, Ray, Accelerate).Experience deploying containerized systems at scale (Docker, Kubernetes, Terraform).Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.Passion for advancing the state-of-the-art in reasoning and building practical, agentic AI systems.What We OfferCompetitive Compensation + equity incentivesFlexible Work (remote or San Francisco)Visa Sponsorship & relocation supportProfessional Development budgetTeam Off-sites & conference attendance Growth OpportunityYou’ll join a mission-driven team working at the frontier of open, superintelligence infra. In this role, you’ll have the opportunity to:Shape the evolution of agent-driven solutions—from research breakthroughs to production systems used by real customers.Collaborate with leading researchers, engineers, and partners pushing the boundaries of RL and post-training.Grow with a fast-moving organization where your contributions directly influence both the technical direction and the broader AI ecosystem.If you’re excited to move fast, build boldly, and help define how agentic AI is developed and deployed, we’d love to hear from you.Ready to build the open superintelligence infrastructure of tomorrow? Apply now to help us make powerful, open AGI accessible to everyone.

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<This Is a Remote Role> About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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< REMOTE - United States >  Job Description: We are seeking a dynamic and experienced Senior Counsel, Product and Privacy to join our legal team. You will serve as a primary legal contact for the product, research, and engineering organizations, and you will play a critical role in ensuring the legal compliance and risk management of our products and services. The role will require the candidate to take a proactive role in product counseling and advancing our privacy compliance program.    You will have the opportunity to provide legal counsel in a dynamic industry with few legal precedents, brand new legal questions and concerns, and quickly evolving business models. Curiosity, the willingness to learn about new technologies, and the ability to translate an engineer’s technical explanations into actionable legal mitigation measures and contractual provisions is a must.  This is a remote role. Although we are a global company, we are currently seeking candidates in the United States.      Responsibilities: Serve as lead product and privacy counsel to multiple product teams Gain an in-depth understanding of Stability’s products and development processes, including their strengths, limitations, and vulnerabilities from a legal, security, and ethical standpoint Provide expert legal advice and guidance to product, design, and engineering teams to ensure Stability’s products and development processes comply with all laws, industry standards, and its own ethical guidelines  Work with product managers, engineering, release management, and security teams to continually develop a set of policies, processes, and documentation governing all data and product releases to ensure thorough legal review Ensure compliance with applicable global privacy and data security laws Work closely with the infosec team to manage incident response and attend to proper data security procedures Track and provide guidance on global laws pertaining to AI products and services, and collaborate with the product team in implementing ethical and safety initiatives for our AI products/services Provide guidance on copyright issues, including as they apply to the development and licensing of datasets used to train our AI models, the output of our generative AI products and services, and the hosting of content (such as the DMCA and Article 17) Ensure compliance with global trade regulations, including US export control laws and the Trade Agreements Act Provide frontline assistance to the commercial team in understanding Stability’s technology, licensing frameworks, and IP strategy on an ongoing basis   Conduct legal research and stay up-to-date with industry trends, regulatory changes, legal precedents, and emerging technologies that may impact Stability AI's products Qualifications: Juris Doctor (JD) degree from an accredited law school and active bar membership in good standing 10+ years of experience as an attorney, with a focus on technology product counseling, privacy, and intellectual property Previous in-house experience as a product counselor at a technology company Deep understanding of data privacy law (e.g., GDPR, CCPA), emerging AI law (e.g., EU AU Act), and consumer protection law Experience building and maintaining data privacy compliance programs Passionate about obtaining a deep understanding of the inner-workings of AI technology Ability to address problems creatively with an open mind  Practical approach to commercially reasonable risk mitigation in the face of both legal and business uncertainty Excellent analytical, communication, and problem-solving skills, with the ability to distill complex legal concepts into clear and actionable guidance for non-legal stakeholders Ability to work independently and collaboratively in a fast-paced, dynamic environment Experience working with cross-functional teams and effectively managing multiple priorities Proactive mindset to identify and address legal risks High level of integrity, professionalism, and attention to detail Flexibility to adapt to evolving priorities  Ability to foster relationships and collaborate with internal clients Sense of humor and inquisitive attitude focused on problem solving and consensus-building Preferred Qualifications: An understanding of data use in the context of generative AI model training and related risks/opportunities Experience with open source software licensing, data licensing, or source-available licensing, as well as open source development and open source communities Privacy and data security certifications (CIPP/US, CIPP/E) Experience developing and revising terms of service and privacy policy updates for global technology companies Deep curiosity of emerging technologies, including AI and data analytics, as well as knowledge of the emerging regulatory developments affecting them Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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YOUR MISSION: We are on a mission to transform how people interact with companies by making every conversation seamless, personalized, and human-like. Our AI Agent Management Platform empowers enterprises to create and manage AI voice and chat agents at scale, turning interactions into lasting relationships. As our Lead Product Designer - Consumer Experience, you will drive the realisation of the design vision for consumer-facing, multimodal experiences across voice, chat, and beyond. You will guide your cross-functional product team to translate this vision into intuitive, trustworthy, and engaging interfaces that make AI agents feel effortless to use. This is an opportunity to lead design at the heart of how people experience AI, shaping consumer-grade interfaces that will influence the future of Agentic AI. IN THIS ROLE YOU WILL: Bring the design vision to life in your product team, ensuring clarity and usability across consumer-facing, multimodal experiences. Partner closely with product managers, engineers, and AI specialists to align on priorities, user needs, technical feasibility, and business impact. Balance simplicity and delight, ensuring interfaces feel natural and human-like across voice, chat, and graphical touchpoints. Lead UX strategy for your product team with a focus on multimodal consumer interactions, ensuring research insights shape both near-term design choices and the long-term vision. Prototype and test interaction models that make AI agents intuitive and trustworthy for everyday users. Take end-to-end ownership of design in your product team, shaping direction and delivering high-quality, hands-on work.   WHAT YOU BRING TO THE TABLE: 8+ years of experience in product design with a proven track record in consumer-facing products, including two years in a lead capacity. Strong expertise in designing multimodal experiences, ideally across voice, chat, and mobile. Ability to translate a design vision into coherent, high-quality execution within a cross-functional team. Strong interaction and visual design skills, with a portfolio that demonstrates elegant, user-centered solutions in consumer contexts. Experience collaborating with product managers and engineers to drive outcomes and influence priorities. A research-driven mindset, grounded in user research, usability testing, and data-informed decision making. Excellent communication and storytelling skills, with the ability to align and inspire cross-functional teams. NICE TO HAVE: Experience designing consumer-facing products that integrate AI or conversational interfaces. Background in designing multimodal experiences that combine voice, chat, and graphical interfaces. Familiarity with design systems in a scaling organization. Knowledge of accessibility best practices and inclusive design principles for multimodal products. Interest in emerging interaction models such as ambient computing, AR/VR, or wearables. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks. Your recruiting process at Parloa: Recruiter video call → Meet your manager → Portfolio Walkthrough →  360° Interviews → Design Case Study → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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<This Is a Remote in the UK> About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAirOps is hiring a Growth Product Manager to own the product-led engine that brings content teams from first touch to early habit. You will map, measure, and improve the journey from discovery to activation to early retention, with a focus on delivering fast time-to-value and clear business outcomes in AI-driven search. This role sits at the intersection of product, data, marketing, and sales. You will define the growth strategy, build the experimentation program, and ship features that create repeatable loops across our insights, content operations, and publishing workflows.Key ResponsibilitiesOwn the acquisition, onboarding, and activation funnel for AirOps, targeting content leaders and teams across mid-market and enterprise.Build and execute a product-led growth roadmap that balances quick wins with scalable bets tied to revenue impact.Design and run experiments across signup, packaging, onboarding flows, templates, prompts, in-product education, and lifecycle messaging.Create new growth loops such as shareable audit reports, scorecards, and template galleries that attract qualified teams and encourage word of mouth.Work closely with Growth and Marketing on self-serve acquisition programs, content diagnostics, and AEO/SEO-friendly experiences that attract high-intent users.Collaborate with Engineering and Design to scope, deliver, and iterate quickly, maintaining a high bar for usability and reliability.Align with Sales and Customer Success on trial-to-paid motions, PQL definitions, routing, and in-product moments that support sales-assisted conversions.Qualifications5+ years in Product Management with 2+ years focused on growth or PLG in B2B SaaS.Track record improving activation and early retention for complex products, ideally used by content, SEO, or editorial teams.Proficiency in A/B testing and feature flagging tools such as Optimizely, Posthog, or Statsig.Strong analytics skills, including comfort with SQL and product analytics platforms like Amplitude, Posthog, or Metabase.Experience building onboarding systems, in-product guidance, and lifecycle programs that shorten time-to-value.Familiarity with content operations, SEO, and AI search dynamics, including how teams identify content gaps and measure off-site and on-site impact.Clear, concise communication and the ability to influence cross-functional partners and leadership with data and narrative.Fluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and Git.Bias for action and comfort operating in a fast-moving environment where priorities evolve with new insights.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the roleDesign and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges.Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements.Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare.Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem.About youYou have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical backgroundYou’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive.Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one.Studied science or engineering in college (dropout welcome)Located in SF/Toronto or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica

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About Brain Co.Brain Co. is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary backend engineers with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI Platform Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art backend systems to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust and scalable architectures to optimizing performance and reliability, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced backend solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern backend frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver backend solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, system architecture, product management, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in backend engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If You:Have 5+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroAre experienced with backend technologies, microservices, and cloud platforms.Have demonstrated experience with modern backend frameworks, cloud compute and storage, RESTful APIs, and database management systems.Possess a strong foundation in software design principles, data structures, and algorithms.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Have deep experience in implementing security best practices across the platform — from system/network security, to code and deployment pipelines, monitoring, and incident response.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTO