AI Creative & Design Jobs

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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. We’re looking for a Developer Productivity Intern for Fall 2025 who’s passionate about building tools and systems that accelerate engineering velocity. You’ll play a key role in supporting the development of our general-purpose humanoid robot — designed to be manufactured and deployed at scale. This internship is ideal for students graduating in Summer 2026 who are excited to work at the intersection of infrastructure, tooling, and robotics. Responsibilities:  Contribute to the architecture and implementation of our next-generation, large scale build and deployment infrastructure Redefine our development environments for ease of use and an order of magnitude improvement in developer productivity Develop backend and frontend tools to support the build infrastructure Work closely with firmware, embedded, middleware and AI/ML engineers to ship new platforms and features at unprecedented speed  Requirements:  Currently pursuing or recently completed an undergraduate or graduate degree in Computer Science or a related field Available for a minimum 10-week internship (1–2 terms preferred) Strong understanding of Linux systems Proficient with scripting languages including Python and Bash Proficient with git Bonus Qualifications:  Experience with the Bazel or other build tools (Pants, Buck, CMake, make, etc…) Experience with Docker, Kubernetes, or other containerization & container orchestration tools Experience with LLMs and other AI tooling Experience with any of the major cloud providers (AWS, GCP, Azure) Experience with C++ or Rust Experience with front-end technologies, including JavaScript, HTML5/CSS, and React. The US hourly range for this internship position is between $35 - $50/hr.  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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About Us: We are establishing the first distributed AI infrastructure dedicated to personalized AI. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of AI is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to bring large models directly to consumer hardware without removing information from the model.About the Role: As a Staff Software Engineer on the Runtime team, you will be a technical leader responsible for architecting, designing, and driving the evolution of the core systems that power our services. You'll define the technical strategy for high-performance runtime components, ensuring they are scalable, reliable, and efficient under heavy workloads. You will lead cross-functional initiatives, mentor engineers across the organization, and make critical architectural decisions that shape the future of our runtime platform while ensuring seamless experiences for end users.Key Responsibilities:Architect and lead the design of complex distributed systems for both local air-gapped environments and large-scale customer deploymentsDrive the technical roadmap and strategy for runtime systems, making high-level architectural decisions that impact the entire platformLead cross-team initiatives for new features through robust backwards compatible updates that impact all of webAI's customers and productsEstablish and evolve engineering best practices, architecture patterns, and development processes across the organizationMentor engineers at all levels, providing technical guidance and fostering a culture of technical excellenceCollaborate with leadership on technical strategy and represent the engineering perspective in product and business decisionsOwn critical technical decisions that directly influence the company's ability to scale AI-powered products and services across diverse customer environmentsQualifications:Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience8+ years of experience in product-driven backend engineering, with significant experience in distributed systems, platform engineering, or embedded systemsExpert-level proficiency in Go and experience architecting large-scale Go applicationsDeep experience with messaging systems (MQTT, Kafka, Nats) and ability to make informed decisions about system trade-offsExtensive experience with deployment pipelines, CI/CD processes, and the ability to design and implement custom deployment strategies for complex distributed architecturesProven track record of leading technical initiatives across multiple teams and mentoring senior engineersExperience with system performance optimization, scalability challenges, and edge computing environmentsWe at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFree parking, for in-office employeesUnlimited Approved PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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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 Us: We are establishing the first distributed AI infrastructure dedicated to personalized AI. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of AI is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.About the Role: As a Software Engineer on the Runtime team, you will contribute to designing, building, and optimizing the core systems that power our services. You'll work on high-performance runtime components, helping ensure they are scalable, reliable, and efficient under heavy workloads. Working closely with senior engineers and cross-functional partners, you will help build our runtime platform and contribute to delivering a seamless experience for end users.Key Responsibilities:Implement and maintain systems for both local air-gapped systems as well as customer distributed deploymentsContribute to new features through robust backwards compatible updates that impact all of webAI's customers and productsLearn and contribute to our evolving knowledge base, architecture, processes and systems, bringing fresh perspectives while learning from experienced team membersSupport critical systems that directly influence the company's ability to deliver AI-powered products and servicesQualifications:Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience2+ years of experience in backend engineering, or recent graduate with strong internship/project experienceProficiency in Go or strong willingness to learn Go quicklyExposure to or interest in messaging systems such as MQTT, Kafka, NatsBasic understanding of deployment pipelines and CI/CD processes, with eagerness to learn custom deployment strategiesWe at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFree parking, for in-office employeesUnlimited Approved PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Introduction to Demandbase:  Demandbase is the leading account-based GTM platform for B2B enterprises to identify and target the right customers, at the right time, with the right message. With a unified view of intent data, AI-powered insights, and prescriptive actions, go-to-market teams can seamlessly align and execute with confidence. Thousands of businesses depend on Demandbase to maximize revenue, minimize waste, and consolidate their data and technology stacks - all in one platform. As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “Best Workplaces for Millennials” and “Best Workplaces for Parents”! We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase! The base compensation range for this position for candidates in the SF Bay Area is: $165,000 - $284,000. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience. About the Role: As a Senior Data Engineer, you will play a pivotal role in architecting and scaling our data platforms, building robust and scalable data pipelines, and enabling data-driven decision-making across the company. You’ll work with massive, complex datasets from a variety of third-party and internal sources — driving data infrastructure and platform evolution to support both real-time and batch processing needs. In this role, you’ll not only write code but also influence the data strategy, mentor junior engineers, and collaborate cross-functionally with product, analytics, and platform teams.  This role supports our Intent product where you will improve the core pipelines as well as design new processes that enable our data science team to test and deploy new ML/AI models. The product delivered by this team is integrated into the core product stack and is a critical component of Demandbase’s account intelligence platform. This is a high-impact individual contributor role for someone who combines deep technical knowledge with strategic thinking and a bias for action. What You’ll Be Doing: Design & Architect: Lead the end-to-end design and evolution of scalable, resilient data pipelines and infrastructure, driving architecture decisions that impact the company’s data platform long-term. Build & Scale: Develop and optimize large-scale data processing workflows (batch and streaming), using Spark and related technologies, ingesting data from diverse internal and external sources. Mentor & Lead: Provide technical leadership and mentorship to mid- and junior-level engineers. Review design docs, PRs, and contribute to engineering best practices across the team. Improve Reliability: Build fault-tolerant, observable systems with self-healing and robust monitoring using tools like Airflow, Datadog, or equivalent. Collaborate: Partner with cross-functional stakeholders in Product, Analytics, and Infrastructure to ensure data architecture aligns with business needs and SLAs. Own & Operate: Take full lifecycle ownership of key data pipelines and integrations—from design to deployment to production support. What we’re looking for: Bachelor’s degree in computer science, engineering, mathematics, or related field 7+ years of experience in software/data engineering roles, with deep expertise in building and maintaining large-scale distributed data systems. Scala experience required. Comfort with purely functional programming is a plus. Strong CS fundamentals, including algorithms, data structures, and system design. Strong background in data modeling, performance tuning, and data integration best practices. Experience owning end-to-end systems, including production monitoring, incident response, and system reliability engineering. Proficiency in cloud-native data platforms (e.g., GCP or AWS), including managed services for analytics and orchestration. Familiarity with real-time data processing, streaming architectures, and event-driven design. Excellent verbal and written communication skills; comfortable explaining complex concepts to technical and non-technical stakeholders. A strong sense of ownership, initiative, and accountability. BS or MS in Computer Science required Benefits: We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind. Our Commitment to Diversity, Equity, and Inclusion at Demandbase: At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis. We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply! We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.      Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

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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.OverviewWe are hiring a TPM to manage Hippocratic AI’s global telephony infrastructure, ensuring our AI agents can reliably reach patients, providers, and healthcare systems across a wide variety of geographies. This is a cross-functional role requiring infrastructure-level technical savvy and regulatory awareness.ResponsibilitiesLead roadmap and delivery for global outbound telephony systems.Maintain reliability, reputation, and deliverability of our call infrastructure.Integrate and manage vendors (e.g., Twilio, Telnyx, Five9) and monitor performance.Build internal tools for campaign tracking, call QA, and global reporting.Ensure compliance with US and international telephony regulations and reputation frameworks. Qualifications4+ years in technical product or engineering management, preferably in telephony or communications platforms.Hands-on experience with global telephony providers (e.g., Twilio, Talkdesk, Incontact, Five9, Avaya).Understanding of STIR/SHAKEN, call reputation management, number pooling, and deliverability.Experience managing vendors and ensuring scalable quality.***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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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.OverviewAs a Product Manager for AI Agents at Hippocratic AI, you will shape and optimize the behavior of intelligent healthcare agents built atop cutting-edge language models. You'll work closely with engineering, design, and clinical stakeholders to define agentic workflows, success metrics, and areas for continuous improvement.ResponsibilitiesDesign, spec, and prioritize AI agent functionalities tailored to healthcare workflows.Collaborate with engineers on prompt engineering, tool calling, and real-time LLM behavior.Monitor deployed agents for quality, safety, and performance issues.Define success criteria and evaluation strategies for agentic features.Drive iterative improvements based on user feedback and internal benchmarks.Qualifications4+ years in product management with at least 2+ years in LLM-focused or agentic AI applications.Deep understanding of LLM engineering concepts including prompt engineering, RAG, tool usage, and real-time decisioning.Proven ability to define product requirements and success metrics in ambiguous environments.Experience launching ML/AI-powered products in production. ***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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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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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the Applied AI team at Anthropic, you will drive the adoption of frontier AI by developing bespoke LLM solutions for top enterprises across Japan. You’ll leverage your customer-facing experience and technical skills to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. In collaboration with the Sales, Product, and Engineering teams, you’ll help enterprise partners incorporate leading-edge AI systems into their products. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities: Act as the primary technical advisor for prospective customers across Japan evaluating Claude. Demonstrate how Claude can be used to solve high value business problems by developing system architectures and leveraging novel prompting techniques Partner closely with account executives to understand customer requirements. Configure Claude's capabilities to showcase how it meets the customer's needs. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure Recommend solutions to technical roadblocks Support customer onboarding across Japan by working cross-functionally to ensure successful ramp and adoption. Serve as an ongoing technical advisor throughout implementation and beyond go-live Travel occasionally to customer sites for workshops, implementation support, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities across Japan You may be a good fit if you have: 4+ years of experience as a Technical Product Manager, Forward Deployed Engineer, or Platform Engineer Native-level Japanese fluency and business-level English required Designed novel and innovative solutions for technical platforms in a developing business area across Japan Strong technical aptitude to partner with engineers and strong proficiency in Python required Recent experience building production systems with large language models The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.What will you do as an SRE Team Lead?As a SRE Team Lead at Robin AI, you'll lead a team of two SRE Engineers while reporting directly to the CTO. You'll help build and maintain our cloud infrastructure and applications that powers our cutting-edge Legal AI platform. You'll provide Change leadership to your team and collaborate with engineering leaders to establish robust monitoring, incident response, and deployment strategies that ensure high availability and reliability of our proprietary models and services, maintaining optimal SLOs for our global customer base.Your day-to-day responsibilities:Lead and mentor a team of two SRE Engineers, providing technical guidance and career developmentWork closely with the CTO to define and implement the technical infrastructure roadmapEstablish monitoring strategies and implement solutions to enhance reliability, scalability, and cost-efficiencyCollaborate with development team leads to optimise build, test, and deployment processesLead incident response and establish processes for troubleshooting production issuesOrganise and oversee on-call rotations to ensure 24/7 system reliabilityDrive documentation standards and knowledge sharing within the engineering organisationIdeally, you should have the following qualifications:5+ years of experience in DevOps or Site Reliability Engineering roles, with 2+ years in a managerial positionProven experience managing and mentoring technical team membersProficiency in at least one backend programming language (We use Python)Strong knowledge of AWS services (ECS, S3, RDS, Lambda, etc.), managed by TerraformKnowledge of observability frameworks and tools (We use OpenTelemetry, Cloudwatch & DataDog)Excellent leadership, communication, and problem-solving skillsExperience with AI/ML infrastructure deployment and scalingWhat’s in it for youSalary: CompetitiveHybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 20 days PTO, in addition to the public holidays observed in South Africa.Growth opportunities: We prioritise promotions for high performers and help you to progress your career.What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.

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About RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.What will you do as an SRE?As an SRE at Robin AI, you'll help build and maintain our cloud infrastructure and applications that powers our cutting-edge Legal AI platform. You'll collaborate with engineering teams to establish robust monitoring, incident response, and deployment strategies that ensure high availability and reliability of our proprietary models and services, maintaining optimal SLOs for our global customer base.Your day-to-day responsibilities:You will be responsible for ensuring the Robin systems are highly available and scalable.Standardise and implement observability practices in our service-based architecture through logging, traces, metrics and monitorsDesign, deploy, and operate infrastructure to support Robin's product teams as we expand into new regions.Adding automation around manual operational tasksCollaborate with development team leads to optimise build, test, and deployment processesParticipating in and improving our on-call and incident handling processes to ensure 24/7 system reliabilityIdeally, you should have the following qualifications:3+ years of experience in DevOps or Site Reliability Engineering rolesProficiency in at least one backend programming language (We use Python)Strong knowledge of AWS services (ECS, S3, RDS, Lambda, etc.), managed by TerraformComfortable troubleshooting across the full stack, starting from the browser, through the networking components, into the containerised applications and then onto data stores.Knowledge of observability frameworks and tools (We use OpenTelemetry, Cloudwatch & DataDog)Excellent problem-solving and communication skillsExperience with AI/ML infrastructure deployments is a plusWhat’s in it for youSalary: CompetitiveHybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 20 days PTO, in addition to the public holidays observed in South Africa.Growth opportunities: We prioritise promotions for high performers and help you to progress your career.What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.

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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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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI Investing team’s mission is to leverage AI to transform the way people invest, making smarter financial decisions more accessible to everyone. We’re focused on creating cutting-edge AI-driven products that unlock new possibilities for our users and redefine the future of finance. As Product Manager for AI Investing, you will define and lead the strategy for how Robinhood uses AI to enhance investment experiences. You’ll collaborate with cross-functional teams to launch innovative AI-driven features that empower users and shape the future of investing. This role is based in Menlo Park, CA or Bellevue, WA, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Develop the vision, strategy, and roadmap for how AI will transform investing at Robinhood. Collaborate with cross-functional teams to define and deliver transformative AI experiences for our users. Work closely with teams across the company to integrate AI in innovative and thoughtful ways. Foster a culture of experimentation, learning, and iteration while thinking big and ambitious. Lead the launch of new AI-driven investment products, empowering customers to make smarter decisions. What you bring 5+ years of experience building and launching high-quality consumer products. Proven expertise in defining and developing AI-powered products that drive innovation. Familiarity with experimentation platforms and A/B testing for ML systems, and experience with fine-tuning and ML optimization techniques. Exposure to LLMs, recommender systems, NLP, or reinforcement learning; experience with Agentic AI is a plus. Strong leadership, communication, and relationship management skills, with the ability to translate complex technical concepts for a broader audience. What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range:Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$191,000—$225,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$168,000—$198,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$150,000—$176,000 USDClick here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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Senior Data ScientistWashington, DC (1x/week in office, Preferred) | Remote within 2 to 3 hours of DC (OK) | 🕐 Full-Time Organization: Surgical Data Science Collective (SDSC)You’re not just looking for another data science job. You want to build something that matters—from the ground up.At SDSC, we’re combining AI, surgical video data, and human expertise to reshape the future of surgical care. And we need a founding Senior Data Scientist to help lead the way.This is a rare opportunity to build the data science foundation for a mission-driven organization working at the intersection of computer vision, medical research, and real-world impact.What you’ll do:Own the end-to-end data science pipeline—from cleaning surgical video data to surfacing insights that shape patient careCollaborate with ML engineers to support computer vision models in real surgical environmentsPartner with researchers to translate complex needs into structured, high-quality datasetsAnalyze surgical procedure data and imaging to improve outcomes and drive innovationBuild the data infrastructure and workflows to scale data science across SDSCPresent your insights clearly to both technical and clinical stakeholders What makes you a fit:5+ years in data science (bonus for health tech, research, or imaging-heavy work)Comfortable in startup environments—you see ambiguity as opportunityFluent in Python, SQL, MongoDB, and AWS PostgresSkilled at defining projects from scratch and seeing them throughStrong grasp of ML principles—especially around supporting computer vision modelsMaster’s degree in Data Science, CS, Stats, or related field (PhD = extra credit)Strong communicator who can translate complexity into clarity Why join SDSC?Own your space. You’ll be our first full-time data scientist—with real influence from day oneMake it matter. Your work supports research that directly improves surgical techniques and patient outcomesWork with top-tier minds. Collaborate with surgeons, scientists, and AI experts in a deeply cross-functional roleFlex where you work. We’re DC-based, but open to remote for the right EST-aligned candidateGrow as we grow. Leadership opportunities and team-building are on the horizonReady to help shape the future of surgical AI—from the inside out? Apply now and help us turn data into life-changing insights.About us: The Surgical Data Science Collective (SDSC) is a nonprofit on a mission to unlock the power of surgical data. We bring together surgeons, scientists, and engineers to turn surgical videos into searchable, data-rich tools. Using AI, we help uncover insights that improve technique, sharpen decision-making, and elevate patient care. From smarter metrics to secure video libraries, we give surgical teams the tools to ask better questions—and find better answers. Because when surgeons get better, patients do too.

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About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the role:As a Site Reliability Engineer, you will play a crucial role in ensuring the smooth operation of all user-facing services and other Anyscale production systems. Anyscale values diversity and inclusion, and we encourage applications from individuals of all backgrounds. This includes processes for provisioning, negotiating prices, managing costs, seeing opportunities for teams to reduce wastage by finding applications across the company. You will apply sound engineering principles, operational discipline, and mature automation to our environments and the Anyscale codebase as we scale.As part of this role, you will:Develop a unified perspective on how cloud components are utilized across the company, taking into account diverse needs and requirements.Ensure that deployment methodologies align with the company's reliability goals.Build systems that promote understanding of production environments, facilitating quick identification of issues through robust observability infrastructure for metrics, logging, and tracing.Create monitoring and alerting systems at different levels, enabling teams to easily contribute and enhance the overall monitoring capabilities.Establish testing infrastructure to support the team in writing and executing tests effectively.Develop tools for measuring service level objectives (SLOs) and define organization-wide SLOs.Implement best practices and on-call systems, ensuring efficient incident management and up-leveling the incident management system at Anyscale.Coordinate the creation and deployment of cloud-based services, including tracking deployments and establishing effective communication channels for issue resolution.We'd love to hear from you if have:At least 3 years of relevant work experience in a similar role.Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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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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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in assets under management, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs an AI Strategist at Norm Ai, you’ll play a pivotal role at the intersection of product, sales, and client strategy - helping enterprise customers understand what’s possible with AI, how it applies to their business, and why Norm is the best partner to execute on it. This is a high-impact, client-facing role for someone who blends domain expertise with strategic thinking and can translate complex AI capabilities into real business value. You’ll work closely with our Sales, Product, and Legal Engineering teams to engage C-level executives at regulated enterprises, shape vertical-specific AI narratives, and guide client organizations through AI transformation. You are not a research scientist, but you are deeply fluent in AI, especially as it applies to enterprise and regulatory use cases.What You’ll DoJoin early-stage prospect and discovery calls to contextualize Norm’s AI capabilities for enterprise clients in regulated industries. Deliver tailored AI strategy briefs and vision decks to C-level stakeholders, linking compliance workflows to AI transformation initiatives. Help clients scope and overcome legal, compliance, and governance hurdles around AI adoption. Act as a thought partner to Sales and Solutions Engineering, shaping strategic narratives across financial services, insurance, and healthcare. Run internal workshops to level up GTM teams on enterprise AI adoption trends, risk management, and implementation paths. Partner with Product and Legal Engineering to translate abstract client problems into actionable product feedback and roadmap direction. Track market trends in enterprise AI, identifying key opportunities and risks across industries and accounts. Develop and refine toolkits, frameworks, and materials that help clients assess their AI maturity and prioritize high-impact use cases. Author white papers, executive content, and speaking materials that position Norm as the category-defining platform for AI + compliance. Skills & Experience – Core6+ years in a strategic advisory, GTM, or client-facing role, ideally at an AI-first or enterprise SaaS company. Demonstrated experience driving or advising AI transformation in complex enterprise or regulated settings. Strong executive presence with a proven ability to communicate AI concepts to C-level and Director-level stakeholders. Deep understanding of the legal, compliance, and operational challenges facing AI adoption. Technically fluent: you don’t need to write code, but you can credibly discuss how AI systems work and how they break. Skilled at cross-functional collaboration with sales, product, legal, engineering, and client success teams. Strategic thinker with sharp instincts, strong storytelling ability, and an obsession with client value. Skills & Experience – PlusesPrior experience in legal tech, regtech, enterprise SaaS, or consulting. Familiarity with LLMs in production environments and AI governance models. Experience selling into or advising clients in financial services, insurance, or healthcare. Background in consulting, enterprise transformation, or internal strategy at a tech company. Series A/B startup experience, ideally in a high-growth GTM environment. What Success Looks Like30 Days You’ve joined strategic client and prospect calls, built a clear understanding of Norm’s AI capabilities, and started collaborating on tailored messaging for enterprise accounts. You’ve developed an early POV on industry trends and client pain points.90 Days You are a trusted partner in key sales cycles and are regularly delivering strategic briefs and recommendations to C-level buyers. You’ve built frameworks for evaluating AI maturity and helped GTM teams sharpen their industry narratives.120 Days You’re leading strategic initiatives across sales, product, and marketing. Clients recognize you as an advisor and thought partner. Norm is actively evolving based on your insights, and your work is directly shaping how we win in the enterprise market.Comp and Benefits $250,000-350,000 a yearThe range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview We're seeking a highly motivated and detail-oriented Robot Operator to join our team. In this role, you will directly contribute to the advancement of robotic artificial intelligence by collaborating with industry leaders and supporting essential data collection efforts. As high-quality data is crucial for training intelligent systems, we are looking for individuals who can quickly learn new processes and adapt to evolving tasks with a proactive problem-solving approach. Your Impact Operating robotic systems for specified tasks Adhere to procedures for robotics operation and data collection  Collaborate with supervisors and team members to optimize workflows and share feedback Follow safety and company protocols to ensure safe operation of robotic systems What You Bring Ability to remain standing for extended periods of time Ability to adhere to instructions and work independently Strong communication and problem-solving skills, initiative, and attention to detail Engineering at Labelbox At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$25—$30 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role You will be the single point of accountability for the successful end-to-end delivery of a landmark programme in Aerospace. You will provide the vision, executive leadership, and operational command to a complex ecosystem of government customers, industry primes, specialist suppliers, and internal technology teams for a software-defined, AI-enabled, next-generation aircraft system.   The day-to-day Providing leadership to the entire programme team, fostering a culture of excellence, collaboration, and mission focus  Being accountable for programme performance against schedule, budget, and quality targets, and reporting directly to executive leadership   Acting as the primary interface and trusted advisor to senior government customers, shaping their requirements and managing expectations   Cultivating and managing strategic relationships with a complex ecosystem of industry primes, specialist suppliers (SMEs), and academic partners  Defining requirements, the programme roadmap, and compelling business cases for investment decisions  Overseeing all contractual and compliance obligations  You should apply if you Bring +7 years of proven leadership experience managing complex defence or aerospace programmes, with at least one full life-cycle  Have a deep technical understanding of software-centric and AI/ML-enabled systems, allowing you to engage credibly with the Chief Engineer and technical teams.  Master stakeholder engagement with senior government customers, industry primes, and specialist suppliers  Are an expert in implementing and governing agile and DevSecOps methodologies in highly regulated, safety-critical environments  Possess absolute ownership of cost, schedule, risk, contract, and compliance management  Communicate with clarity and impact in both German and English, seamlessly adapting your style for executive, technical, and operational audiences.  Hold, or are demonstrably eligible to obtain, the required level of security clearance.  Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to Have A background in management consulting; direct experience with unmanned systems; familiarity with standards like DO-178C or cybersecurity RMF; and an entrepreneurial track record of building rapid prototypes or MVPs.  Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe   Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.