AI Product & Operation Jobs

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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.Key ResponsibilitiesOwn the customer relationship post-sale, serving as the primary technical advisor and strategic partner for enterprise accountsBuild and deploy AI-powered growth workflows in AirOps to solve high-impact customer problems and accelerate time-to-valueDevelop and scale our enterprise delivery playbook, balancing hands-on execution with systems-level thinkingPartner cross-functionally with Product, Engineering, Growth, and CX to validate new use cases, influence roadmap priorities, and help customers unlock new valueDrive adoption and usage expansion by identifying whitespace opportunities and aligning AI workflows to business goalsLeverage the AirOps platform internally to improve service delivery and demonstrate the art of the possible for customersMonitor success metrics, analyze usage trends, and present insights and recommendations to internal stakeholders and executive sponsorsLead enablement efforts, including onboarding, technical documentation, and training tailored to enterprise usersContribute feedback to product and design teams to improve usability, performance, and customer satisfactionExperience2 to 6 years experience in Growth, BizOps, Product, Technical Account Mgmt, Analytics, Solution Engineering, or similar role at a high-growth startup or B2B SaaS company; we 💚 former (or future aspiring) foundersExperience supporting large enterprise customers with complex, multi-stakeholder environmentsHands-on experience with LLMs, AI/ML technologies, or workflow automation platforms (e.g., Zapier, Make, Retool)Strong builder mindset with the ability to prototype and iterate in AirOps or similar platformsFamiliarity with prompt engineering, retrieval techniques, and integrating AI into customer workflowsComfortable working in startup environments where ambiguity is the norm and roles evolve rapidlyExcellent communication and project management skills; able to translate between technical and business stakeholdersBonus: working knowledge of Python, JavaScript, or other scripting languagesBonus: experience with SEO and Content MarketingOur 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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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.OverviewHippocratic AI is seeking a PM to lead the development of our model evaluation and data generation platform. In this role, you’ll drive the creation of high-quality training and test datasets that inform our model’s roadmap and ensure safety in healthcare deployments.ResponsibilitiesDefine the strategy and architecture for model evaluation across agent behaviors.Collaborate with data scientists, ML engineers, and clinicians to craft robust benchmarks.Design and manage internal and external workflows for data labeling and generation.Monitor data quality and iterate on tooling and process efficiency.Work closely with the model training team to align data feedback loops with product performance.Qualifications3+ years in product management with experience in ML evaluation, labeling, or data pipelines.Familiarity with language model datasets, especially in high-stakes or regulated settings.Experience collaborating with labeling vendors, data QA teams, or managing Mechanical Turk-style pipelines.Attention to detail in process design and tooling for human-in-the-loop systems.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking For: At Distyl we’re bringing AI to the F500 and deliver novel and delightful user experiences. We’re looking for experienced Front End Engineers who are excited to define the future of work with a focus on human value. You will build the UI/UX patterns in which AI is deployed and used by the world’s most important institutions.Success at Distyl requires an obsessiveness about the user’s experience with our product and a drive to deliver great software. As an early member of our FE engineering team, your day to day will vary from writing code, collaborating with product and design on defining our products, and building core engineering infrastructure.Key Responsibilities:Building Enterprise Grade Frontend Applications: You will collaborate closely with the rest of our team to deliver high quality frontend applications.Solution Design: Collaborate closely Distyl AI Strategists to deeply understand customer’s workflows and design tailored AI solutions.End-to-End Software Ownership: Take charge of the entire software lifecycle, from service development to deploying them in customer cloud environments.Qualifications:Strong Coding Skills: Strong command of frontend development using React/TypeScript is essential. Backend experience in Python is beneficial and experience with AI/ML is helpful.User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring that solutions are not only technically sound but also closely aligned with customer needs and experiences.An Eye for Design: We often build before pixel perfect mocks are built, being able to make a reasonable design choice within the design system is key.Software Architecture: Demonstrated ability in architecting front end applications for change is critical.What We Offer:Competitive salary and benefits package, including equity options and healthcare.Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.Collaborative and supportive work environment, with a strong focus on personal and professional growth.Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.Chance to be part of a growing team that is passionate about AI and its potential to revolutionize human productivity.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

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Distyl AI develops AI-native technologies that enable humans and AI to collaboratively power operations across the Global Fortune 1000. In just 24 months, we’ve partnered with some of the world’s most iconic enterprises including F100 telecom, healthcare, manufacturing, insurance, and retail companies delivering AI deployments with $100M+ in impact.Our platform, Distillery, combined with our cross-functional teams of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work that solve high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and national research labs. We maintain a deep partnership with OpenAI and are backed by Lightspeed, Khosla, Coatue, Nat Friedman, and board members from over 20 Fortune 500 companies.What We’re Looking ForWe’re hiring Forward-Deployed AI Engineers at all levels of experience, from early-career builders to senior engineers who can lead large-scale deployments and shape our customers' technical roadmap. Regardless of seniority, every AI Engineer at Distyl is a hands-on contributor responsible for designing, implementing, and deploying production-grade AI systems using Large Language Models (LLMs).At the most senior levels, our engineers operate as the technical owners of F500 engagements, defining architecture, engaging with enterprise leaders, and leading technical teams to transform mission-critical workflows.ResponsibilitiesAll AI Engineers at Distyl are expected to:Design and Deploy LLM-Powered Systems: Build and deploy robust GenAI systems that deliver measurable business value. Includes model evaluation, prompt design, agent/agentic logic, and full-stack application development.Engage Deeply with Customers: Work directly with customer stakeholders to understand their most pressing business and technical needs, and turn those into tailored, high-impact AI solutions.Build and Improve Our Platform: Contribute to the development of Distillery, our internal LLM application platform, by developing reusable tools, infrastructure, and workflows that scale across customers.Deliver Production Quality: Ensure systems are observable, maintainable, and meet rigorous reliability, performance, and security standards.Evaluate AI Systems Scientifically: Lead evaluation efforts balancing accuracy, latency, explainability, cost, and robustness.Continuously Improve: Refine development workflows, platform architecture, and deployment practices to raise the engineering bar.At higher levels of experience, you will also:Set technical direction and architecture for multi-million-dollar customer engagements.Earn executive trust and guide enterprise engineers through rollout and long-term operations.Mentor and up-level Distyl engineers via design reviews, architectural design reviews, leading by doing, and targeted coaching.QualificationsWe believe great AI Engineers come from diverse backgrounds and are unified by deep curiosity, pragmatism, and engineering excellence. We’re excited to meet candidates with:Proficiency in Python or Typescript (experience with a diverse set of languages is a plus), with hands-on experience using LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP and Agents SDK.Experience building and deploying LLM-powered AI agents in production, including tool use, prompt orchestration, RAG, and long-horizon task execution.Deep understanding of agent design patterns, with practical experience in observability, debugging, and human-in-the-loop feedback systems.Skilled at solving complex, ambiguous problems using cutting-edge AI techniques to deliver meaningful business outcomes.Familiar with responsible AI practices (e.g., auditability, interpretability), and experienced in aligning AI systems with enterprise-grade requirements.Comfortable working across cloud environments (AWS, GCP, Azure) with modern DevOps tools (Docker, CI/CD), and collaborating closely with cross-functional teams.For senior roles: strong architectural and systems design, experience leading projects, navigating and deploying into enterprise hybrid cloud environments and mentor othersWhat We OfferCompetitive salary and meaningful equity.100% covered medical, dental, and vision for employees and dependents.401(k) with additional perks (commuter benefits, in-office lunch).Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems.Ownership of high-impact projects across top enterprises.A mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence. Offices in San Francisco and New York with hybrid collaboration (3+ days/week in-office).

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As a Staff Software Engineer on the Managed AI team at Crusoe, you'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presenceWhat You’ll Be Working On:Design and Development:Lead the design and implementation of core AI services, including:Resilient fault-tolerant queues for efficient task distribution.Model catalogs for managing and versioning AI models.Scheduling mechanisms optimized for cost and performance.High-performance APIs for serving AI models to customers.Scalability and Performance:Build and scale infrastructure to handle millions of API requests per second.Optimize AI inference performance on GPU-based systems.Implement robust monitoring and alerting to ensure system health and availability.Collaboration and Innovation:Collaborate closely with product management, business strategy, and other engineering teams.Influence the long-term vision and architectural decisions of the AI platform.Contribute to open-source AI frameworks and participate in the AI community.Prototype and iterate on new features and technologies.What You’ll Bring to the Team:Strong Engineering Fundamentals:Advanced degree in Computer Science, Engineering, or a related field.Demonstrable experience in distributed systems design and implementation.Proven track record of delivering early-stage projects under tight deadlines.Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.AI/ML Expertise:Experience in Generative AI (Large Language Models, Multimodal).Familiarity with AI infrastructure, including training, inference, and ETL pipelines.Software Engineering Skills:Experience with container runtimes (e.g., Kubernetes) and microservices architectures.Experience using REST APIs and common communication protocols, such as gRPC.Demonstrated experience in the software development cycle and familiarity with CI/CD tools.Preferred Qualifications:Proficiency in Golang or Python for large-scale, production-level services.Contributions to open-source AI projects such as VLLM or similar frameworks.Performance optimizations on GPU systems and inference frameworks.Personal Attributes:Proactive and collaborative approach with the ability to work autonomously.Strong communication and interpersonal skills.Passion for building cutting-edge AI products and solving challenging technical problems.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $204,000 - $247,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:The Crusoe Cloud Managed AI team seeks an ambitious and experienced Senior Software Engineer to join their team. You'll have a pivotal role in shaping the architecture and scalability of our next-generation AI inference platform. You will lead the design and implementation of core systems for our AI services, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.From day one, you'll own critical subsystems for managed AI inference, helping to serve large language models (LLMs) to a global audience. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the platform, and contribute to cutting-edge AI technologies. This is a unique opportunity to build a high-performance AI product that will be central to Crusoe's business growth.This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presenceWhat You’ll Be Working On:Design and develop core infrastructure for the Managed AI platform:Lead the design and implementation of resilient fault-tolerant queues, model catalogs, and scheduling mechanisms.Build and optimize systems for high-volume AI inference, handling millions of API requests per second.Develop and maintain core services for AI model deployment and management.Collaborate with cross-functional teams:Work closely with product managers, data scientists, and other engineers to define and deliver AI services.Integrate with other Crusoe Cloud services to provide a seamless user experience.Collaborate with research and development teams to explore and implement new AI technologies.Ensure high availability and performance:Design and implement systems with high availability, low latency, and fault tolerance.Optimize performance across all stages of the AI inference pipeline, including model loading, execution, and response handling.Continuously monitor and improve the performance and reliability of AI services.What You’ll Bring to the Team:Strong Engineering Foundations:Advanced degree in Computer Science, Engineering, or a related field.Proven experience in distributed systems design and implementation.Expertise in using cloud-based services, such as elastic compute, object storage, virtual private networks, managed databases, etc.Experience with container runtimes (e.g., Kubernetes) and microservices architectures.Experience using REST APIs and common communication protocols, such as gRPC.Demonstrated experience in the software development cycle and familiarity with CI/CD tools.AI/ML Expertise:Experience in Generative AI (Large Language Models, Multimodal).Technical Skills:Proficiency in Golang or Python for large-scale, production-level services. (Preferred)Familiarity with AI infrastructure, including training, inference, and ETL pipelines. (Preferred)Contributions to open-source AI projects such as VLLM or similar frameworks. (Preferred)Performance optimizations on GPU systems and inference frameworks. (Preferred)Soft Skills:Proven track record of delivering early-stage projects under tight deadlines.Strong communication and collaboration skills.Proactive and results-oriented with the ability to work independently and as part of a team.Passion for building high-quality, scalable, and impactful products.Bonus Points:Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.Knowledge of machine learning algorithms and data structures.Experience with data streaming and real-time processing technologies.Contributions to open-source projects outside of AI.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $166,000 - $201,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation AI inference platform. You will be responsible for guiding the team through the design and implementation of high-performance, fault-tolerant infrastructure to serve large language models (LLMs) at scale.This role combines technical depth with people leadership — you'll help shape the engineering roadmap, drive execution across key projects, and mentor a team of high-caliber engineers. As part of a fast-growing, strategically important organization, you’ll partner closely with product, business, and platform stakeholders to deliver a performant and reliable platform powering AI for customers worldwide.This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presenceWhat You’ll Be Working On:Team Leadership & Strategy:Lead the design and implementation of core AI services, including:Manage and grow a team of software engineers working on Crusoe’s Managed AI platformSet clear goals, drive accountability, and support career development for team membersPartner with product and engineering leadership to define and execute on the AI roadmapFoster a high-performance, collaborative engineering culture grounded in technical excellenceTechnical Execution:Oversee the architecture and development of core AI services, including:Fault-tolerant task queuesModel management systemsCost-aware scheduling frameworksHigh-performance APIs for real-time inferenceEnsure the team delivers scalable systems capable of handling millions of API requests per secondGuide the team in implementing performance optimizations for GPU-based inference workloadsCollaboration and Influence:Work cross-functionally with product managers, infrastructure teams, and GTM stakeholdersRepresent engineering in strategic discussions related to AI platform growth and customer adoptionPromote knowledge sharing, technical mentorship, and operational best practices within the teamContribute to the evolution of Crusoe’s engineering processes and broader AI strategyWhat You’ll Bring to the Team:Leadership Experience:2+ years of experience managing high-performing engineering teamsStrong track record of hiring, developing, and retaining engineering talentAbility to lead teams through ambiguity and drive alignment around complex technical goalsTechnical Depth:Prior hands-on experience building distributed systems or AI infrastructureDeep understanding of cloud-native environments, container orchestration, and service-oriented architecturesFamiliarity with GPU performance, inference frameworks, or LLM-based systems is a strong plusProduct & Delivery Focus:Comfortable owning deliverables from early design through production rolloutStrong collaboration skills, with a bias for clarity, context sharing, and customer impactExperience operating in fast-paced startup or growth-stage environmentsPreferred Qualifications:Background in Computer Science, Engineering, or a related technical fieldProficiency in Python or GolangFamiliarity with open-source AI ecosystems (e.g., VLLM, Hugging Face, Triton)Experience working with Kubernetes, gRPC, and observability stacksPersonal Attributes:Growth-minded leader who empowers and supports othersExcellent communicator and relationship builderPassionate about building world-class AI infrastructure and teamsBenefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $233,000 - $282,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About the TeamThe Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more.We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleThe cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably.This role is based in San Francisco, CA. In this role, you will:Design and build the development and production platforms that power our products, enabling reliability and security at scaleEnsure our infrastructure can scale to the next order of magnitudeHelp create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group thinkLike all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.You might thrive in this role if you: Have 5+ years building core infrastructure Have experience operating orchestration systems such as Kubernetes at scaleHave experience building abstractions over cloud platformsTake pride in building and operating scalable, reliable, secure systemsAre comfortable with ambiguity and rapid changeThis role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.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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FORWARD DEPLOYED ENGINEERAbout 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 and engineering 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.Holistic, Humanist, Humble. About the Team: The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.Key Responsibilities:Understand and identify customer’s most important and impactful multi-step task to automateSeamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc.Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution deliveryArchitect, build, and maintain production-grade services that scale with usage and complexityCollaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the fieldRequirements:3+ years of professional software engineering experience, ideally in fast-paced environments (e.g., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiencesExperience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real productsFluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)Familiarity with frontend frameworks (e.g., React, Vue) and a good sense of UI/UX tradeoffsExperience building and deploying production systems—APIs, services, infrastructure, and/or data pipelinesProficiency in integrating third-party APIs, databases, and external systems in a secure and reliable wayStrong problem-solving skills and ability to thrive in ambiguous, customer-facing environmentsExcellent communication skills, both written and verbalBias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutionsWillingness to travel for on-site deployments or customer engagementsLocation:H's teams are distributed throughout France, the UK, and the USThis role is currently in ParisThe final decision for this will lie with the hiring manager for each individual roleWhat We Offer:Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.Enjoy a competitive compensation package, including salary and equityUnlock opportunities for professional growth, continuous learning, and career development

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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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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.

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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 iOS engineer at Wispr, you'll be one of the core team members responsible for the designing Wispr's iOS voice assistant, improving the core Flow voice dictation experience, and prototyping and shipping our new voice interface features.What are we looking for?Previous founding or startup experienceFluency in Swift, shipped multiple iOS apps to large userbasesUser-focused design intuition and design tasteAttention to detail and eagerness to learnAptitude and clarity of thoughtCreativity, excellence in engineering, and code velocityRequired Knowledge/Skills, Education, And ExperienceBuilt full-stack personal projects or contributed to open source in Swift (send your best)Incredible attention to detail on design and animationsCare towards code quality and UXStrong programming practices and high-throughput of code across the stackOutstanding team player and communicatorWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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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 RoleIf you’re a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them. Prompt generation with a purpose to receive the best quality result of LLMs. 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 are currently enrolled in or completed a Bachelor's degree or higher. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) 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? 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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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 RoleIf you’re a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them. Prompt generation with a purpose to receive the best quality result of LLMs. 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 are currently enrolled in or completed a Bachelor's degree or higher. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) 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? 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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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 RoleIf you’re a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them. Prompt generation with a purpose to receive the best quality result of LLMs. 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 are currently enrolled in or completed a Bachelor's degree or higher. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) 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? 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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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.About the Role We’re seeking an Embedded Systems Integration Engineer to build the backend infrastructure that validates the interaction between our hardware, firmware, and software. You will be the connective tissue across disciplines: owning how changes to firmware or software are tested against real hardware. Your work ensures we ship reliable, integrated systems that just work. This is a hands-on role where you will design and implement automated test frameworks, bring-up flows, and validation pipelines for embedded subsystems. You'll be responsible for catching regressions early, enabling fast iteration, and giving clear system-level pass/fail signals across the stack. Key Responsibilities Architect test infrastructure that exercises end-to-end functionality of embedded systems across hardware, firmware, and software boundaries. Develop backend systems (Python, CLI tools, internal APIs) to run tests, log results, and determine pass/fail conditions. Bring up and validate  subsystem and system level changes, tracking changes in behavior and performance across releases. Automate testing pipelines for regression detection and continuous integration. Debug and triage failures across layers—hardware faults, firmware bugs, or software integration issues. Collaborate with firmware, software, and hardware teams to define interface contracts and testable behaviors. Instrument devices under test using scopes, logic analyzers, and custom harnesses to characterize system response. Minimum Qualifications Bachelor’s in EE, CE, CS, or a related field. 3+ years of experience working with embedded systems. Strong understanding of how firmware interacts with hardware peripherals (I2C, Ethernet, SPI, CAN, UART, ADCs, GPIO, etc.). Proficiency in Python or similar scripting language for test automation. Experience bringing up custom embedded boards and working across firmware/software stacks. Familiarity with Linux-based development environments. Preferred Qualifications Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, TeamCity). Knowledge of test automation frameworks (e.g., PyTest, Robot Framework). Exposure to hardware-in-the-loop (HIL) systems. Familiarity with board-level validation, power-on sequencing, or sensor verification. Prior experience in robotics, automotive, aerospace, or other complex embedded systems. Comfort working hands-on at the bench with test equipment. The US base salary range for this full-time position is between $140,000 and $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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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 OverviewHarvey’s Legal Product Specialists are experienced lawyers from top-tier firms who leverage their legal expertise to help customers seamlessly integrate Harvey into their daily workflows—driving adoption, increasing utilization, and supporting long-term expansion and renewal.. Legal Product Specialists collaborate closely with Harvey’s Customer Success Managers and Account Executives to drive all facets of the post-sales strategy. They develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel at private equity firms and Fortune 500 companies—serving as trusted advisors on how Harvey’s AI solutions can enhance legal effectiveness and efficiency.Legal Product Specialists draw on their legal training and practice experience to ask thoughtful questions, uncover adoption barriers, and develop tailored strategies that build credibility with customers. They partner with Customer Success Managers and Account Executives to communicate Harvey’s value through a mix of large group sessions, small workshops, and one-on-one conversations.What You’ll DoBuild trusted relationships with law firm and in-house legal teams by understanding their unique workflows and offering tailored guidance on how to incorporate Harvey’s AI into their daily practice.Design and lead onboarding sessions, training workshops, and ongoing enablement programs that drive adoption and maximize the value of Harvey’s platform.Act as a strategic partner to Customer Success Managers and Account Executives to identify expansion opportunities and support renewal efforts through demonstrated impact and engagement.Proactively surface obstacles to adoption by engaging users with thoughtful questions and legal empathy, then develop and implement strategies to overcome them.Translate legal practice needs into actionable feedback for the product and engineering teams, helping to shape product development through a lawyer’s lens.Monitor usage trends and identify at-risk accounts or untapped opportunities, working cross-functionally to re-engage users and showcase new or underutilized capabilities.Contribute to customer-facing content (e.g., training materials, use case guides, FAQ resources) to ensure continued customer success across a range of practice areas.Support the credibility and brand of Harvey as the leading AI platform for lawyers by delivering high-quality, domain-specific guidance that meets the expectations of top-tier legal professionals.What You HaveJD or equivalent legal qualification.At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a corporate law or litigation focus.Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.Compensation RangeThe expected range of total compensation for this role is between $200,000 and $250,000. Additionally, this role is eligible to participate in our equity plan. The successful candidate’s starting salary will be determined based on non-discriminatory factors such as skills, experience, and geographic location.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 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.About the roleAs a Lead Software Engineer in our Customer Development team, you won't just build software - you'll lead the charge in deploying, customising, and scaling our groundbreaking Frontier platform directly with our enterprise clients.As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focussed product, remain close to live customer feedback whilst leading the way in technical best practices.In this role, you'll be immersed in leading the deployment of Frontier in complex environments, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights.Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence.What you will be doingAt the heart of Decision Intelligence for each customer lies one or more Computational Twins (CT). A CT is a digital representation of an existing business process in which decisions are made. Our platform enables a CT to show historical process performance, model future behaviour and simulate decisions..As a Lead Software Engineer in the Customer Development team, you’ll lead the technical delivery of customer-facing projects, guiding a small, cross-functional team. You’ll collaborate directly with customers and their engineering teams to understand their systems and data, and help integrate Frontier into their workflows. This often includes extending or adapting our frontend, backend, and infrastructure-as-code components, as well as supporting the creation of Computational Twins that model complex real-world systems. You’ll play a hands-on role in shaping how Frontier is deployed and scaled in production environments, ensuring it delivers real impact from day one.Your responsibilities will includeLead Client Engagements: Act as the primary technical authority and partner for our enterprise clients, guiding them from discovery through to successful production deployment.Mentor Your Squad: Lead and mentor a dedicated, cross-functional squad of engineers, fostering their growth and setting the standard for technical excellence and creative problem-solving.Architect & Build Solutions: Roll up your sleeves to design, build, and extend components of the Frontier platform (Python, TypeScript, IaC) to meet specific customer challenges and workflows.Bridge Product and Delivery: Be the crucial link between our customers and our core product teams. Translate customer needs and implementation challenges into actionable feedback and feature requests that shape the future of Frontier.What You'll Bring to the TeamLeadership & Communication:Exceptional Communication: You have a proven ability to distill complex technical concepts for diverse audiences, from client-side engineers to senior business stakeholders. This is crucial for success.Pragmatic Leadership: Experience leading complex technical projects and mentoring other engineers, empowering them to do their best work.Customer-Centric Mindset: A genuine passion for working with customers, understanding their problems, and delivering solutions that provide immediate value.Technical Expertise:Full-Stack Proficiency: Strong, hands-on experience in full-stack development, with a deep understanding of system architecture and design.Core Technologies: Expertise in Python and TypeScript/React.Infrastructure & Deployment: Solid knowledge of CI/CD pipelines (e.g., GitLab), Docker, and deploying applications on Kubernetes. Hands on experience deploying scalable applications in one of AWS, Azure or GCP.Testing & Quality: A demonstrated history of championing automated testing strategies to ensure robust and reliable code.What 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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Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit www.gong.io. We’re scaling fast — and we’re just getting started. At Gong, we’re building a world-class R&D hub in the U.S. to fuel our next wave of innovation. This is your chance to join a critical team from the ground up and help shape products that lead the future of revenue intelligence. We’re building the future of revenue intelligence — and our backend engineers are at the heart of it. As a Backend Engineer at Gong, you’ll tackle meaningful technical challenges, design systems at scale, and help shape products that transform how companies understand their customers. We’re looking for an experienced Java engineer who’s excited to build high-performance systems, solve complex problems, and deliver features that make a real impact. RESPONSIBILITIES Design and build backend services and APIs using Java, with a focus on scalability, reliability, and performance Own technical projects from start to finish — architecture, development, deployment, and ongoing improvements Collaborate with Product Managers, UX Designers, and Frontend Engineers to deliver features that solve real customer problems Dive into technical challenges, identify root causes, and develop practical solutions Play an active role in shaping Gong’s backend architecture as we scale QUALIFICATIONS  5+ years of backend development experience, with deep expertise in Java Proven ability to solve complex problems, debug efficiently, and build high-quality systems Experience designing and running cloud-based services (AWS, GCP, or Azure), including microservices architectures Bonus points for experience with infrastructure as code, CI/CD pipelines, or data-driven APIs Strong communication skills and a collaborative approach — you enjoy working across teams A degree in Computer Science, Engineering, or related field (or equivalent practical experience) PERKS & BENEFITS  We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. Mental Health benefits with covered therapy and coaching. 401(k) program to help you invest in your future. Education & learning stipend for personal growth and development. Flexible vacation time to promote a healthy work-life blend. Paid parental leave to support you and your family. Company-wide recharge days each quarter. Work from home stipend to help you succeed in a remote environment. The annual salary hiring range for this position is $110,500 - $130,000 USD.  Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.  We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law. To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details. #LI-DD1