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Senior AI Engineer
We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents. - Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products. - Prototype and see what works well in the real world, iterate closely with our users, and then ship. - Follow the latest research on LLM prompting, agents, and code editing. - Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments. Who You Are: - You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production. - You are passionate about Generative AI and its ability to help software engineers be more productive. - You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields. - You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution. - You want to work in a fast, high-growth startup environment that respects its engineers and customers. - You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers). - You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. - Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our Internal panel discussions - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. </p
Software Engineering Manager, Public Sector
Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office three times per week You will: - Recruit a high-performing engineering team. - Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. - Collaborating with cross-functional teams to define, design, and execute strategic roadmap. - Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. - Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure - Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners - Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions - Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings - Have or ability to obtain a TS/SCI clearance Ideally you’d have: - 5+ years of full-time engineering experience, post-graduation - 2+ years of prior engineering management or equivalent experience and has managed an engineering team. - Have extensive experience in software development - Experience scaling products at hyper-growth startups - Excitement to work with AI technologies and their applications for the public sector - Extremely strong track record as an individual contributor - Show a track record of mentoring and leading teams in successful projects - Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: - TS/SCI Clearance - Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. - Have experience with AI platforms and technologies, including generative
Senior Machine Learning Engineer, AI Generation En...
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks. We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs. As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ. KEY RESPONSIBILITIES - Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks. - Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives. - Contribute to the efforts in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy. - Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context. - Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps. - Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment. ESSENTIAL SKILLS & EXPERIENCE - BS in Software Engineering, Computer Science, or equivalent field of study - 5+ years of postgraduate experience in software development - Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines. - Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas) - Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothe
Software Engineer, Consumer Health
OpenAI’s Health AI team is working to ensure that advances in AI meaningfully improve health for everyone. We build AI systems that help people better understand and navigate their health while setting a high bar for safety, reliability, privacy, and user trust. On the Consumer Health team, we’re building health experiences directly into ChatGPT. People can use ChatGPT to understand health information, prepare for appointments, make sense of changes over time, and have more informed conversations grounded in their own health context. Our work sits at the intersection of consumer product engineering, AI, and healthcare. We work closely with product, design, research, safety, privacy, and other ChatGPT teams to build experiences used at global scale. About the Role We are looking for product-minded software engineers to build the next generation of consumer health experiences in ChatGPT. You will own products and features end-to-end, from early prototypes through polished experiences used by millions of people. We welcome specialists in mobile, frontend, or full-stack development; you can focus on the area where you have the most depth. This role is ideal for engineers who care deeply about craft and user experience, move quickly from idea to product, and are excited about making complex health information understandable and useful. Prior healthcare or AI experience is not required. In this role, you will: - Design and build consumer health experiences across ChatGPT, including mobile, web, and full-stack product surfaces. - Own features end-to-end, from early product exploration and prototyping through implementation, launch, measurement, and iteration. - Build intuitive experiences for helping people understand and interact with complex personal health information. - Work closely with product managers, designers, researchers, and safety experts to translate emerging AI capabilities into useful consumer products. - Build experiences that let people connect their medical records, health apps, and connected devices, explore their health over time, and get useful answers grounded in their personal context. - Develop reliable systems and interfaces for highly sensitive user data, with privacy and security built into the product experience. - Improve product quality, performance, reliability, and usability at ChatGPT scale. - Take ownership of ambiguous problems and drive them toward practical, high-quality solutions. You might thrive in this role if you: - Are an exceptional product engineer who has shipped consumer-facing products and cares deeply about usability, performance, and craft. - Have 5+ years of experience building and shipping production software. - Have deep experience in at least one of mobile, frontend, or full-stack product development. - Enjoy working closely with design and product partners and contributing to product direction, not just implementation. - Can take ownership of ambiguous problems and move quickly from prototype to production while maintaining a high quality bar. - Are excited about the opportunity to use AI to help people better understand and manage their health. - Are thoughtful about the responsibilities that come with building products involving sensitive health information. Bonus if you have: - Experience building high-quality consumer products at significant scale. - Experience building AI-powered or conversational products. - Experience working with personal data, health data, wearables, or health platforms such as Apple Health. - Experience building products where privacy, safety, and user trust are core product requirements. - Previous experience in healthcare or health technology. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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 Policy At 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.
Applied AI Architect, Government Technology
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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping systems integrators, startups, and other GovTech companies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with Claude Code, the Claude API, and Claude for Enterprise - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel frequently to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - US Secret Clearance preferred for working with defense tech customers - Prior work in government, government contracting, or government tech preferred - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate tech
Senior Principal Software Architect - Healthcare
Senior Principal Software Architect - Healthcare at Progyny. Femtech Insider network role. Industry tags: Fertility, Health Care, Medical. Skills: Software Architecture, DevSecOps, Machine Learning, Web Development, Mobile Application Development, Cloud Infrastructure, Stakeholder Communications, Architecture Analysis, Risk Analysis, Governance, Collaboration, Problem Solving. Locations: Remote. Work mode: remote.
Senior Researcher, WHOOP Labs Doha
Senior Researcher, WHOOP Labs Doha at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: Research, Machine Learning, Data Collection, Software Project Management, Customer Service, Physiology, Biotechnology, Exercise Science, Consumer Engagement, JIRA, Adaptability, Project Collaboration. Locations: Doha, Qatar. Work mode: on site.
Principal AI/ML Researcher
Principal AI/ML Researcher at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: Machine Learning, Deep Learning, Reinforcement Learning, Architectural Design. Locations: Boston, MA, USA. Work mode: on site.
AI Risk & Compliance Analyst
AI Risk & Compliance Analyst at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: Governance, Risk Analysis, Cyber Security, Analytical Thinking, Policy Development, Data Governance, Trend Analysis, Collaboration, Incident Response. Locations: Boston, MA, USA. Work mode: on site.
Senior Principal Software Architect - Healthcare
Senior Principal Software Architect - Healthcare at Progyny. Femtech Insider network role. Industry tags: Fertility, Health Care, Medical. Skills: Software Architecture, DevSecOps, Machine Learning, Web Development, Mobile Application Development, Cloud Infrastructure, Stakeholder Communications, Architecture Analysis, Risk Analysis, Governance, Collaboration, Problem Solving. Locations: Remote. Work mode: remote.
Senior Officer, AI Technology Policy
Senior Officer, AI Technology Policy at Bill & Melinda Gates Foundation. Femtech Insider network role. Industry tags: Business And Industrial, Charity, Education, Financial Services, Gender Equality, Global Development, Global Health, Health Care, Human Resources Hr, Impact Investing, Lending and Investments, Non-Profit. Skills: Stakeholder Engagement, Research, Education Policy, Relationship Building. Locations: Washington, DC, USA. Work mode: on site.
Manager, Legal Programs (Privacy & AI)
Manager, Legal Programs (Privacy & AI) at Hims & Hers. Femtech Insider network role. Industry tags: Community and Lifestyle, Consumer Goods, Cosmetics, Health Care, Healthcare, HealthTech, Lifestyle, Medical Diagnostics, Mental Health, Mobile App, Telehealth, Wellness. Skills: Privacy Law, Stakeholder Management, Software Project Management, Time Management, Problem Solving. Locations: United States, Remote. Work mode: remote.
Research Engineer, Frontier Evals & Environments
About the team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a researcher working on Frontier Evals & Environments, you will help build north star model environments to drive progress towards safe AGI/ASI. Your work will directly guide the research programs of the most ambitious training runs happening at OpenAI. Some prior open-sourced evaluations built by researchers in this role include GDPval , SWE-bench Verified , MLE-bench , PaperBench , and SWE-Lancer . If you are interested in feeling firsthand the fast progress of our models, and steering them towards good outcomes, this is the role for you. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. In this role, you'll: - Create ambitious RL environments to push our models to their limits, and measure frontier model capabilities, skills, and behaviors - Develop new methodologies for automatically exploring the behavior of these models - Dive deep into the science of measurement, including understanding scalability, reliability, and variance of our evaluation methodology - Help steer training for our largest training runs, and see the future first - Design scalable systems and processes to support continuous evaluation - Build self-improvement loops to automate model understanding You might thrive in this role if you - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution. - Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with. - Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next. - Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group. - Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. - Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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 Policy At 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.
Software Engineer, Enterprise AI
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: - Own large new areas within our product - Work across backend, frontend, and interacting with LLMs and ML models - Deliver experiments at a high velocity and level of quality to engage our customers - Work across the entire product lifecycle from conceptualization through production - Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: - 4+ years of full-time engineering experience, post-graduation - Experience scaling products at hyper growth startups - Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies - Proficient in Python or Javascript/Typescript, and SQL - Experience with Kubernetes - Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $179,400 - $224,250 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-sta
Fullstack Software Engineer, Applied AI
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you. ABOUT THE ROLE We’re hiring fullstack Applied AI Engineers to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product. In this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate LangChain’s mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source, contributing to the LangChain and LangGraph ecosystem and setting new standards for how companies build with AI. *This role will be based in our San Francisco or New York office. Employees within commuting distance work from the office are five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements. WHAT YOU WILL DO - Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains. - Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes. - Translate emerging AI research and tooling into practical, production-ready solutions. - Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders. - Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact. - Contribute to the LangChain and LangGraph ecosystem, including open source components, documentation, and shared tools. WHAT YOU WILL BRING - Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production). - Hands-on experience implementing ev
Research Scientist, Frontier Risk Evaluations
Scale Labs, Research Scientist — Frontier Risk Evaluations As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: - Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities; - Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems; - Publish evaluation methodologies and write technical reports for policymakers. Ideally you’d have: - Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. - Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes. - A track record of published research in machine learning, particularly in generative AI. - At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development. - Strong written and verbal communication skills to operate in a cross-functional team. Nice to have: - Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies. - Experience with red-teaming or adversarial testing of AI systems. - Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act). Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including jo
Frontier Agent Engineering Manager, Enterprise
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment - Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements - Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows - Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development - Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation - Architect multi-agent systems that orchestrate between different models, tools, and data sources - Implement evaluation frameworks to measure agent performance and iterate toward business objectives - Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization - Create sophisticated prompt engineering strategies optimized for customer-specific domains and data - Build and maintain prompt libraries, templates, and best practices for customer use cases - Conduct systematic prompt experimentation and A/B testing to improve model outputs - Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate Leadership & Collaboration - Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts - Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration - Work closely with Scale's product and engineering teams to translate customer needs into product improvements - Document technical architectures, integration patterns, and best practices Problem Solving & Innovation - Debug complex technical issues across the entire stack, from data pipelines to model outputs - Rapidly prototype solutions to unblock customers and prove out new use cases - Stay curr
Research Scientist, AI Controls and Monitoring
Scale Labs, Research Scientist — AI Controls and Monitoring As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: - Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs; - Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected; - Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps; - Collaborate with policymakers, engineers, and other researchers to establish standards and benchmarks for AI monitoring and escalation. Ideally you’d have: - Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. - Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes. - A track record of published research in machine learning, particularly in generative AI. - At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development. - Strong written and verbal communication skills to operate in a cross-functional team. Nice to have: - Experience with runtime monitoring, anomaly detection, or observability for ML systems. - Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). - Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new h
Engagement Management Lead
The shift from traditional software to AI is one of the most important transitions of our time, and the frontier AI labs driving it depend on Scale to do it. As an Engagement Management Lead on Scale's Generative AI team, you'll operate at the center of our most strategic frontier-lab relationships — serving as a trusted, operationally grounded thought partner to the world's leading AI research teams. You will also directly oversee account management and growth strategy for the customers to which you’re assigned. You'll build deep relationships with GenAI researchers and other key customer contacts, navigate challenging conversations with confidence rooted in operational knowledge, and earn new work by driving exceptional customer success. The strongest EM Leads are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussion. You won't run data pipelines yourself — you own the customer relationship end to end, translate research needs into complex human-data programs, partner closely with the operations, engineering, and ML teams who execute them, and think strategically about how to sustainably grow Scale’s GenAI business. The ideal candidate pairs a technical foundation with proven judgment in high-stakes, client-facing settings. What you’ll do: - Own a portfolio of complex, strategic Gen AI accounts with full accountability for customer success and commercial development. - Build and maintain deep, trust-based relationships with frontier AI lab researchers and operations leads, serving as a thought partner across the project lifecycle from ideation to execution. - Translate ambiguous customer requirements into well-defined human-data programs run by Scale's internal delivery teams. - Navigate sometimes challenging customer conversations about quality, throughput, and delivery expectations with confidence and clarity grounded in deep operational knowledge. - Identify and develop expansion opportunities through close, consultative customer engagement. - Partner cross-functionally with operations, engineering, and planning teams to improve delivery and drive better customer outcomes. What we’re looking for: - 5+ years in consulting or in a technical product or program management role. - A proven track record in B2B, client-facing experience — including building and expanding relationships and navigating complex customer dynamics. - A technical foundation (academic or professional exposure to CS, Engineering, Economics, Statistics, or another STEM field). - Enough understanding of the ML training lifecycle to discuss use cases meaningfully with technical customers. Ideally you’d have: - A graduate degree (PhD, MS) or research experience in a STEM field. - Experience at a frontier lab or a company developing foundational models, or a technical role at a high-growth AI company. - Hands-on experience working with data or AI/ML models — through engineering, research, or a technical product role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview proce
Member of Technical Staff - Product (Backend)
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're looking for strong backend engineers who love building a developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day. REQUIREMENTS: - Experience building and shipping modern web applications end-to-end. We care more about what you’ve built than how many years you’ve been building. - Comfort working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics. - Deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes, training and inference for large language (LLM) and diffusion models. - Experience with at least one of: billing/payments systems, B2B SaaS tooling, or enterprise software, or LLM / diffusion models inference and training loads. - Strong product instincts; you think about customer problems, not just tickets. - Ability to participate in on-call rotation and respond to production incidents. - Ability to make good tradeoffs between shipping fast and building for scale. - Ability to work in-person in our NYC or SF office.
Technical Program Manager, Platform
As a Technical Program Manager for the Platform team, you will partner with engineering teams to directly accelerate the development and maturity of the Scale Generative AI Platform (SGP) . We are looking for a TPM who has actively built and shipped products in the past and understands how to deliver robust, scalable developer tooling and distributed systems. In this role, you will own the strategic alignment and end-to-end execution of our most critical infrastructure initiatives—from initial scoping to measurable, company-wide and customer-ready adoption. You will serve as the core communication backbone and connective tissue between platform engineering, product teams, and executive leadership. Operating in a hyper-growth, demanding AI environment, you will translate SGP’s architectural complexities into clear execution strategies , unblock engineering bottlenecks, proactively mitigate deployment risks, and ensure our foundational platforms deliver reliable, performant, and secure systems capable of global-scale deployment. Key Responsibilities - Lifecycle & Platform Delivery: Lead strategic planning and high-velocity execution for SGP core capabilities (orchestration layers, model serving, APIs). Manage features from technical scoping and architecture design through production launch. - Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. - Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features. - Risk & Dependency Mitigation: Proactively identify, track, and mitigate technical risks unique to massive-scale GenAI infrastructure and global SGP deployments, maintaining momentum despite fast-evolving AI frameworks. - Developer Velocity & Operational Excellence: Establish lightweight agile processes that empower engineers to ship fast without breaking core systems. Define and enforce clear SLOs and performance benchmarks to guarantee production-grade reliability for clients. - Metrics-Driven Adoption: Track and report on SGP adoption metrics, system reliability, delivery forecasts, and engineering bottlenecks directly to executive leadership to ensure the platform scales responsibly. Minimum Qualifications - 5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer, with a proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms). - Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems. - AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high-throughput data pipelines, GPU/CPU cluster utilization, or model training/evaluation setups. - Masterful Communication:&l
Staff Technical Product Manager, Ads ML Platform
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Staff Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities - Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve. - Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever. - Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure. - Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity. - Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically a
Enterprise Community Lead
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 The Enterprise Community Lead is the owner of Anthropic's enterprise community function: the set of programs that organize the practitioners inside our most important accounts, activate them as internal advocates, and connect them into educational peer communities. You'll define this motion for Anthropic — the portfolio of programs, the operating model, the cross-functional system, the metrics that tie it to the business — with the goal of driving production adoption and usage. You'll join the Community team within Anthropic's Enterprise Marketing organization and own the enterprise community function end to end: strategy, program design, member experience, operations, cross-functional coordination, and measurement. The team operates as a hub-and-spoke model with regional and functional leads; you'll be the functional owner of the enterprise community motion, sitting at the intersection of Sales, Customer Success, GTM, and Product. Key responsibilities - Own the enterprise community strategy: the thesis, the portfolio of programs, the maturity model, and the roadmap from zero to global scale - Bring the playbook from companies that have done this well and adapt it to Anthropic's product portfolio, customer base, and GTM motion - Stand up and scale Claude Champions: identify and recruit power users inside strategic accounts, design recognition give/gets, build vertical cohorts, and operationalize structured Champion-led outputs that measurably drive adoption of Claude Code, Cowork, and future products - Partner closely with AEs and CSMs to build the operating models for champion sourcing, train-the-trainer motions, and account-plan integration. - Run the day-to-day engine for the programs you build: member lifecycle, programming rhythm, platform and chapter structure, and the feedback loops that route learnings, requests, and references back to Product, Marketing, and Sales - Define the measurement framework and reporting that ties community activity to business outcomes: seat activation, usage growth, expansion, retention, reference and advocacy supply - Evaluate, propose, and launch new plays beyond Champions as the function matures: vertical cohorts including in regulated verticals, customer-led groups, practitioner recognition, internal community-of-practice enablement at customer orgs Minimum qualifications - Have built and scaled customer community, champions, or advocacy programs at enterprise SaaS or developer tools companies, and can point to the business outcomes they drove - Have defined the motion, not just executed someone else's playbook: you've taken a company from zero on practitioner community and built the strategy, the operating model, and the team - Bring strong, earned opinions about what makes these programs work, including the give/get structures that keep champions engaged long term - Understand how enterprise GTM works, and are comfortable operating across Sales, Customer Success, Product, and Marketing - Have run cross-functional programs where you don't own most of the inputs and still make them feel cohesive</
B2B Marketing Mandarin Growth Lead
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a powerhouse Growth Marketer to own and accelerate our B2B footprint in Singapore . This isn't a traditional marketing role; we need a "jack of all trades" who can pivot from high-level campaign planning to setting up complex outbound sequences in the same afternoon. You will be the primary driver for growth in Singapore, taking full ownership of projects from inception to the final outcome. You are someone who views "chaos" as an opportunity to build and thrives when managing multiple workstreams simultaneously. YOUR RESPONSIBILITIES - Full-Funnel Ownership: Drive the Singapore B2B growth strategy and partially tackle the North Asia markets, owning the pipeline target from lead gen to conversion. - Outbound Mastery: Set up, manage, and optimize complex outbound sequences to reach enterprise decision-makers. - Event & Campaign Execution: Organize high-impact events, webinars, and trade shows from start to finish. - Performance & Analysis: Work closely with the performance team on retargeting and ABM, while being comfortable diving deep into the numbers to analyze what’s working. - Creative Content: Craft compelling sales collateral, thought leadership content, and messaging tailored to the regional tech landscape. - Vendor & Partner Management: Identify and orchestrate top-tier local partnerships and sponsorships. REQUIREMENTS
Technical Program Manager, CX Intelligence & AI
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As the Lead Technical Program Manager for CX Intelligence & AI (CXI), you'll be the embedded program management owner for all of CX, driving cross-functional execution across CX Ops, CX Programs, Product/Engineering, and Analytics. CXI is responsible for transforming Coinbase Customer Support from a reactive operations center into a highly effective, AI-powered support experience that is better for customers and more efficient for Coinbase. You'll create strategies for challenges where the solution is not yet well understood, independently plan programs with dependencies across product groups, and execute complex initiatives that require synchronizing timelines across multiple teams. This role is the connective tissue between CXI's intelligence layer and the engineering and product teams that build the AI infrastructure, and you will own overall project management, comms, status updates, key milestone dates, and cross-functional deliverables. What you'll do: - Define a strategic roadmap and partner with Engineering to deliver high-priority initiatives and innovative solutions to CX challenges, while executing ongoing and annual roadmapping for priority programs across multiple product areas and holding the line on quality across product and operational areas. - Own a large portfolio of agent tooling and SaaS initiatives spanning AI automation, customer/agent insights, analytics infrastructure, and support channel strategy, including evaluating external vendors for new AI automation solutions to leverage as part of the tooling stack. - Independently uncover CX and customer opportunities where neither the problem nor the solution is well understood, and drive alignment with CX and Engineering leadership to shift resources, launch new projects, or cancel existing initiatives by leveraging frameworks and presenting tradeoffs to drive the right business priorities. - Own opportunity sizing, define north-star success metrics, and set quarterly targets for shared KRs in partnership with EAA product managers, while managing the source of truth for OKR performance and program reporting to leadership (WBR/QBR). - Drive business process documentation to ensure proper change management and rollout of tooling and automation changes across CX. - Innovate with technology and drive AI-first solutions across all responsibilities, continuously identifying opportunities to leverage automation and emerging AI capabilities to improve CX outcomes. Required Skills and Experience: - 10+ years of experience in technical program management, product/program management, strategy, or related roles within complex, scaled technology environments, preferably supporting CX engineering teams, with prior experience building or materially transforming a CX functi
Legal Fellow - Human Frontier Collective (US)
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do - Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis. - HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply - Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program. - Certifications: Bar admission in any jurisdiction strongly preferred. - Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor. - Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs. - Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? - Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making. - Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field. - Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of
System Integrator Alliance Manager
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. WHAT YOU'LL DO LangChain's platform is increasingly at the center of enterprise AI agent deployments — and a growing share of those deployments are built and delivered by system integrators (SIs). Your job is to make sure the SIs building on LangChain are set up to win: technically capable, commercially aligned, and positioned to grow their LangChain practices. This isn't a traditional channel role. The best SIs in this space move fast, operate closer to engineering teams than procurement, and care more about building real differentiation than logo badges. You'll need to meet them there. THE PROBLEMS YOU'LL BE SOLVING SIs are building AI practices right now — and they're making stack decisions that will compound over the next several years. LangChain has strong product and community traction, but converting that into structured SI partnerships requires someone who can: - Build relationships with the practitioners doing the actual work (architects, delivery leads, practice heads), not just executive sponsors - Help SI teams go deeper on LangChain technically — running enablement sessions, connecting them to the right internal resources, and making sure they can actually deliver - Create and close co-sell motions with SIs on active enterprise opportunities - Build joint go-to-market programs that make sense for how SIs actually run their business If you've sold or partnered through SIs before, you know the difference between a partnership on paper and one that drives real pipeline. We want someone who knows how to build the latter. WHAT YOU'LL OWN - Build and manage a portfolio of SI partnerships — from global SIs and consultancies to regional & boutique specialists - Run joint pipeline with SI partners: co-selling on active deals, running QBRs, tracking attribution - Design and deliver partner enablement: certifications, training, delivery playbooks, and technical workshops - Work with our solutions engineering and product teams to get partners unblocked on technical questions - Represent partner perspective internally — surfacing what SIs need in terms of product capabilities, support, and commercial terms - Develop co-marketing and thought leadership programs with key partners WHAT WE'RE LOOKING FOR Must-haves: - 5+ years in alliance management, partner sales, or business development — with direct experience working with SIs, GSIs, or consultancies - Genuine technical fluency in AI or developer tooling. You don't need to write production code, but you need to credibly discuss LLMs, agent architectures, and developer workflows - Track record of building SI partnerships, from the ground up, that drove measurable pipeline, not just signed
Member of Technical Staff (Analytics Engineer)
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward. WHAT YOU'LL DO - Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt - Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations - Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably - Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously - Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams - Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring - Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces WHAT WE'RE LOOKING FOR - 6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches - Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build - Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse - Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand - Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production - Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work - Builder mentality - you see a ma
Staff+ Software Engineer, Financial Fraud
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 The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer. Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally. Responsibilities: - Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints - Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting - Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases - Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number - Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules - Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners Minimum Qualifications: - Proficiency in Python, SQL, and data analysis tools - Experience building or operating fraud, risk, or abuse detection systems in production - Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders Preferred Qualifications: - 8+ years of industry software engineering experience, with a focus on payments fraud or risk - Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle - Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud - Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes - Experience building hybrid rules-and-ML risk systems: real
Contracts Manager, Research & Operations
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 Anthropic is seeking an exceptional Contracts Manager to support commercial and technology transactions. We'll rely on you to help review, draft, and negotiate commercial and procurement contracts to support our cutting-edge AI systems. You'll also build scalable contracting processes and collaborate across Research, Product, Finance, Security, Business Operations, and Procurement teams. Responsibilities - Draft, analyze, negotiate, and complete complex commercial transactions with the company’s vendors, including SaaS and IP licensing agreements - Propose and develop scalable solutions to improve contracting efficiency - Collaborate with business units and legal team members to streamline contract management processes, identify potential risks, and drive continuous improvement in contract handling efficiency - Collaborate with the Research, Product, Finance, Security, Business Operations, and Procurement teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel - As a relatively small legal team supporting big things, each legal team member practices across multiple areas. We’d love to hear where else you’d be interested to pitch in, whether as a function of your experience or interests Minimum Qualifications - Experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules "move to the left," thriving in this dynamic environment and priding yourself on your adaptability and ability to pivot with speed and grace - Initiative and autonomy in managing complex contractual matters, effectively prioritizing competing deadlines - An understanding of what's important in the context of a contract, the organization's mission, when to be flexible, and when to draw a hard line - Excitement to grow with an organization and help shape the culture of the commercial function - A preference for straightforward, concise explanations over legalese and overwrought drafting - A knack for identifying and implementing efficient processes and policies - The ability to thrive as a member of cross-functional teams building frontier technologies, with a desire to develop a deep understanding of our technical teams and what we are building - Comfort operating outside your areas of expertise and in uncharted legal territory - A "doer" mentality, willing to roll up your sleeves to get things done as a team player who doesn't hesitate to jump in to do work that needs to get done, whether glamorous or not Preferred Qualifications - 7+ years of related contract management experience, with at least 3 years of experience supporting technology transactions, vendor enga
Associate General Counsel, Product & IP
Scale is at the forefront of powering artificial intelligence. We believe that trust in AI is earned with high-quality data for training, fine-tuning, and evaluating AI systems. Our products are transforming how organizations build and deploy AI. Our customers are the world’s most innovative model developers and enterprise and public sector entities looking to apply AI in their organizations. We are seeking an Associate General Counsel, Product & IP to provide strategic product counseling on cutting edge issues at the intersection of IP and agentic and generative AI. The ideal candidate for this role will have experience harnessing IP as a competitive advantage; providing strategic legal guidance that advances data-driven business goals while facilitating regulatory compliance, managing legal risk, and enhancing customer trust; and a demonstrated ability to partner well with cross-functional teams, including superlative communication, collaborative problem-solving, initiative, empathy, urgency, and focus. You will: - Oversee and strategically manage Scale’s worldwide intellectual property portfolio. - Develop and implement a comprehensive IP strategy that aligns with Scale’s business objectives, ensuring the development and protection of high-quality intellectual property. - Oversee invention sessions, invention disclosure selection, patent application drafting and filing, and patent prosecution. - Be a subject matter expert–for both business partners and the Legal team–on US and global intellectual property laws. - Work hands-on with business and product teams to ensure that intellectual property protection is embedded into Scale’s products and processes by design and to implement best-in-class compliance. - Develop creative solutions, in partnership with Legal and Product stakeholders, for how legal frameworks can support new products and customer experiences. - Support the drafting and negotiation of commercial agreements at the cutting edge of intellectual property and AI. - Help advance the General Counsel’s and Product Legal team’s strategic vision across the company. Ideally you'd have: - At least 8+ years of experience in-house and at a top law firm, ideally both managing at least a portion of an IP portfolio and product counseling. - Ability to think strategically at a high-level and from deep in the details, in order to drive complex problem solving and develop creative, business-forward solutions. - Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to executive, business, and technical audiences. - A roll-up-your-sleeves attitude to tackle projects large and small with a low-ego approach to collaborating across the organization. - Deep interest in artificial intelligence, generative AI, and machine learning technology and applications. - Excellent organizational and communication skills. - JD and a member of the California in good standing. Nice to haves: - Experience in preparing and prosecuting patent applications in artificial intelligence and machine learning technologies. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries f
Partner Solutions Architect, Applied AI
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 Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. - Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching,
Staff+ Security Engineer, Risk Engineering
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 The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making. The systems we assess span Anthropic’s full security landscape, from authorization primitives to cryptographic foundations, so the team needs breadth across domains and the ability to go deep in any of them. Security Risk, in deep partnership with Security Engineering, will help define the security program to shape how both engineers and non-engineers build and ship software. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions and the mandate to build the AI-native platform underneath. You’ll work across a breadth of areas from identity and secrets management to infrastructure security, with your focus shaped by your strengths, ability to learn quickly, and the team’s priorities. This is largely greenfield work, and you will help define the architecture and discipline. Key responsibilities - Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood and seeing them through escalation, treatment decisions, and remediation - Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understand their own risk posture - Work alongside Security Engineering as a calibrated technical peer who pressure tests architectures and treatment plans, translates findings into prioritized remediation roadmaps, and makes the investment case for what to fix now, what to accept and track, and what to defer - Mentor engineers and risk practitioners across Security and the broader engineering organization, and help build a risk engineering culture in which teams own their risks and our team provides the visibility and judgment that supports the - Security risk engineering - Work across the breadth of Anthropic’s security landscape, spanning areas like identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, and build the context needed to reason about risk credibly in each - Go deep where a risk demands it, understanding how these systems are built and how they fail so that assessments and treatment plans reflect engineering reality rather than abstraction - Risk assessment and quantification - Identify systematic risks through threat modeling and structured assessment, then drive the severity calibration and escalation conversations that follow, bringing leadership a defensible position and a clear recommendation that holds up under pointed questions - Contribute to the team’s quantitative risk work, applying methods such as calibrated estimation and Monte Carlo simulation where they meaningfully
Technical Customer Support Team Lead
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ENTERPRISE SUPPORT TEAM LEAD (FULL-TIME, REMOTE) Who we are A global team united by curiosity and a shared mission: to be the first choice for AI audio. We're building a new category of technology from the ground up, moving fast, holding ourselves to a high bar, and giving everyone the autonomy to do their best work. The best idea wins, regardless of where it comes from. About the role As the Enterprise Support Team Lead, you'll oversee our Enterprise Support operations and lead a global team supporting our most strategic accounts. This is a critical leadership position that requires both deep technical expertise and exceptional people management skills. You'll be responsible for maintaining world-class responsiveness, driving operational excellence, and ensuring our enterprise customers receive the highest level of support. You're setting the standard for what great support looks like and mentoring your team to achieve it. WHAT YOU'LL DO - Lead and develop your team: Hire, mentor, and grow talented support specialists; drive higher performance and create a culture of excellence. - Own enterprise support operations end-to-end: Manage day-to-day metrics, KPIs, and ensure smooth operations across global shifts and time zones. - Provide hands-on technical support: Maintain your own technical expertise by actively supporting enterprise customers and complex issues
Deployment Strategist Lead - Chile
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximiz
Staff Engineer, Identity & Access Management (IAM)
Your work will change lives. Including your own. In this role, you will: - Assess our current state of IAM and revamp our IAM strategy across our products, platforms , cloud/on-premise infrastructure and corporate applications to accelerate key business outcomes. - Drive IAM implementation as part of our larger zero-trust security strategy - Architect and Design cloud-based identity governance, access management and cloud directory solutions - Implement RBAC/ABAC based IAM workflows for onboarding and ongoing identity lifecycle management - Act as a key technical and strategic advisor for cross-functional teams including IT, security, and development to ensure that IAM principles are integrated into broader security architecture. - Partner with Engineering and IT teams to ensure our products and applications are developed and implemented with fine-tuned access privileges and are appropriately risk - Establish well-defined KPIs, KCIs, and KRIs that provide visibility into IAM control effectiveness and support continuous improvement. - Ensure regulatory compliance by partnering with other teams to design IAM solutions that meet standards for SOX, GxP, etc. The Team You'll Join - You will join a growing Information Security team at Recursion, focused on enabling Recursion to decode biology by providing world class secure technology services that are designed and fit for purpose. You'll collaborate with your teammates and across departments to ensure that IAM systems support the organization's broader business objectives while maintaining the highest standards of security. The Experience You'll Need - Bachelor's or Master's degree in Computer Science, Information Security, or a related field. - A minimum of 7 years of experience in Identity & Access Management and other information security related domains. - Deep understanding of security principles and proven track record of successfully leading large-scale IAM projects from strategy to execution, particularly within cloud-first and hybrid environments. - Expertise in one or more programming languages (e.g., Java, C++, Python) as they relate to IAM products. - Expert level experience in one or more of the leading Enterprise Identity Administration & Governance solutions - Expert level Experience in Adaptive Authentication, OAuth, OpenID, SAML etc. - Expert level experience with the identity stack like Enterprise Active Directory as well as experience working with IAM products in the cloud like Okta, AWS, Azure AD, Duo or equivalent - Expert level experience with privileged access management solutions (e.g., Delinea, CyberArk). - Knowledge of operating systems (UNIX/Linux, macOS, Windows) and of database management systems - Excellent communication and leadership skills, capable of driving security initiatives and influencing change across multiple teams and disciplines. - Act as a Business Systems Analyst and articulate and elicit requirements and use-cases in a manner that is technology agnostic - A continuous improvement mindset, staying up to date with the latest IAM trends and technologies to drive innovation withi
Enterprise Account Executive, Financial Services &...
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 an Enterprise Account Executive, Financial Services & Insurance based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's financial services and insurance organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, strengthen risk management, and enhance customer experiences with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major FSI accounts and expanding existing relationships across Japan's banks, insurers, asset managers, and fintech companies - Build and execute territory plans, identifying high-value opportunities across megabanks, regional banks, life and non-life insurers, and diversified financial groups - Lead consultative sales processes with senior executives — including CIOs, CDOs, Chief Risk Officers, and compliance leaders — positioning AI as a driver for digital transformation, regulatory compliance, and improved customer experience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet the stringent regulatory, security, and data governance requirements of the FSI sector You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan with significant exposure to financial services and insurance accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach - A track record of managing complex, long-cycle sales processes and securing strategic deals with FSI organizations by understanding sector-specific regulatory and compliance frameworks and crafting compliant solutions - Demonstrated ability to navigate FSI stakeholder ecosystems, building consensus across IT, risk, compliance, and business operations teams with multiple budget authorities and approval layers - Proven experience exceeding revenue targets by effectively managing pipeline across the varying budget cycles and fiscal timelines of large financial institutions - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Japan's FSI sector combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit - Excellent communication skills in both Japanese and English What We Offer<
Director, Enterprise Sales (AI & Digital Natives)
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: SF Bay Area About the role The Enterprise AI and Digital Natives segment is Cloudflare's fastest growing and highest visibility market. This segment is dedicated exclusively to the largest organizations in the modern tech economy including premier SaaS platforms, hyperscale digital marketplaces, and leading AI labs. This is a deep infrastructure, developer centric play where technical alignment and deep engineering partnerships are our most critical currencies, resulting in Cloudflare’s largest and most complex enterprise agreements. We are seeking an entrepreneurial Sales Director to lead this cornerstone segment, focusing on both the strategic acquisition and expansion of our highest impact accounts. In this role, you will scale and mentor a high performing team tasked with embedding Cloudflare as the core infrastructure layer for the world’s most innovative companies. This is a defining leadership opportunity to operate at the intersection of the AI landscape and cloud infrastructure, driving critical revenue growth for the company. Responsibilities: - Own and exceed regional revenue targets, driving both high-velocity new logo acquisition and strategic account expansion within the SF Bay Area Digital Native ecosystem. - Recruit, coach, and develop a world-class field sales team, driving the local hiring needs and instilling a high-tempo culture tailored to technical buyers and engineering leaders. - Act as a hands-on trusted advisor to CTOs and Engineering leaders, guiding them on setting up modern, secure network architectures and AI platforms utilizing Workers AI and R2 storage. - Effectively articulate Cloudflare’s value proposition across our entire portfolio, including Workers AI, R2 storage, advanced network security, and developer platforms. - Partner closely with global functional leadership across Product, Customer Success, Solutions Engineering, and Field Marketing to design and execute regional go-to-market strategies. <li>
Senior Combat Designer (AI archetype)
As a Senior Combat Designer at Cloud Chamber, you will collaborate with an innovative team of designers, artists, and engineers to create industry-leading AI characters and combat gameplay. You will be responsible for expanding and building on the ideas of player expression and emergent design experiences. Utilizing your deep knowledge of Unreal Engine, you will develop interactive AI characters to support the overall creative vision for our project, ensuring that our ambitious design goals are achieved and ultimately bring the richly imagined world of BioShock to life. What You’ll Do: - Work with the Leads, Design Director, and the design team to pitch and develop interactive AI characters and execute the vision for the game. - Act as the primary owner of AI and combat implementation in cross-disciplinary pods. - Develop working prototypes of AI and combat scenarios. - Communicate progress, workflows, and availability of AI and combat standards to content developers. - Maintain and tune assigned combat AI behavior and parameters through to project completion. - Create detailed and easy-to-follow design documentation. - Collaborate across development sites in Novato and Montreal on a day-to-day basis. - Expand and build on the ideas of player expression and emergent design experiences. - Use your creativity to execute on design goals and solve design challenges that push our games forward. - Participate in brainstorm sessions, refine, and execute on ideas within a schedule. - <span style="font-family: helvetica, arial, sans-serif; fon
Senior Software Engineer, Machine Learning (Ads)
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are looking for a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team at Discord. This team partners with our revenue product groups, focusing on both consumer revenue and our emerging Ads initiative. This role will specifically contribute to our Ads ML efforts, helping to build and scale ML capabilities in areas such as ads measurement, targeting, and delivery ranking. As part of this team, you will play a critical role in developing foundational ML models that enhance ad relevance, optimize performance, and drive revenue. This is a unique opportunity to work on an early-stage Ads ML platform and have a direct impact on the business's success. Our tech stack includes Python, ML frameworks like PyTorch and TensorFlow, large-scale data infrastructure, and real-time ad-serving technologies. What You'll Be Doing: - Design, develop, and deploy machine learning models for ads targeting and ranking. - Develop sophisticated ML solutions such as identity graph to enhance ad targeting. - Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link click). - Improve ads targeting and ranking by leveraging both on-platform and off-platform signals. - Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap. - Scale our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making. - Drive research and implementation of state-of-the-art ML techniques in the field of online advertising. What You Should Have: - 5+ years of experience as a Machine Learning Engineer or Data Scientist. - 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement). - Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow. - Experience with applied deep learning (e.g transformers, embedding models). - Proven track record of designing, implementing, and scaling ML-driven ad systems in real-world applications. - Experience working with real-time ML inference, A/B testing, and optimization frameworks. - Experience translating ML evaluation results and performance metrics into actionable product roadmap items. - Ability to connect business objectives to ML solutions, with the flexibility to shift focus toward the highest-impact problems as priorities evolve. Bonus Skills: - Strong understanding of performance advertising and how ML impacts revenue and advertiser retention. - Knowledge of ad tech industry standards and ads ecosystem including targeting, retrieval, ranking, pacing, frequency, auction, etc. - Experience with large-scale recommendation systems. - Experience with large-scale data infrastructure and distributed computing <br
Engineering Manager, Cooperative Systems
About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational work at scale. What You’ll Do - Lead and grow a small team building applied AI systems for internal operations - Design and build AI-powered automation systems in close proximity to customers - Stay hands-on in architecture and implementation across the full stack - Develop evolving systems spanning developer tools, automation platforms, knowledge graphs, and data systems - Deploy systems directly to internal users and close customers to iterate rapidly based on real-world feedback - Engage frequently with scaled workforces to understand needs and validate solutions - Create systems for visibility and learning in hybrid workforces - Partner with product, research, and ops teams daily You Might Thrive in This Role If You - Have 12+ years of experience in engineering, including 3+ years of experience in engineering management, and at least 7 years as an IC engineer - Are a hands-on builder who enjoys operating across the stack - Have deep experience applying AI, and are ready to experiment with frontier approaches - Bring strong technical judgment across systems design, infrastructure, and full-stack development - Have built developer tools, internal platforms, or workflow automation systems - Enjoy frequent interaction with customers and thrive in feedback-driven development loops - Are comfortable with ambiguity and excited to operate in a rapidly evolving space - Have experience in operationally complex environments (e.g., logistics, support systems, internal tooling, warehouse automation, etc.) About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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 Policy At 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.
Software Engineer, Monetization ML Infrastructure
About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to help build the machine learning infrastructure that powers OpenAI’s monetization and ads systems. In this foundational role, you’ll design and develop the platform layer that enables teams to build, train, deploy, serve, monitor, and continuously improve machine learning models used across advertising and monetization products. You’ll work across the full ML lifecycle, from large-scale data pipelines and feature infrastructure to training systems, model serving, experimentation platforms, and monitoring frameworks. The systems you build will support high-throughput, low-latency advertising workloads while maintaining strict standards for reliability, privacy, security, and performance. This role sits at the intersection of machine learning systems, distributed infrastructure, and monetization, offering the opportunity to shape the core platforms that help translate model innovation into measurable business impact. In this role, you will: - Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems. - Develop large-scale data pipelines that process impressions, clicks, conversions, advertiser data, marketplace signals, and other inputs used to train and improve machine learning models. - Create scalable model training platforms that support ranking, conversion prediction, quality prediction, bidding, targeting, measurement, and optimization workloads. - Develop systems that safely and reliably move models from experimentation into production environments. - Build and improve real-time inference and serving infrastructure with strict requirements for latency, throughput, reliability, and availability. - Design experimentation frameworks that enable A/B testing, holdouts, model comparisons, ramping strategies, and measurement at scale. - Improve platform performance through optimization of training efficiency, inference latency, model throughput, infrastructure reliability, and cost effectiveness. - Collaborate closely with machine learning engineers, product engineers, data scientists, and monetization teams to accelerate the development and deployment of advertising systems. You might thrive in this role if you: - Have 7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure. - Have experience building platforms that support machine learning workflows, including data processing, feature engineering, model training, deployment, or serving. - Have worked with high-volume data pipelines and infrastructure handling large-scale online systems. - Have experience designing reliable, low-latency systems with strong operational and observability practices. - Are comfortable working across the ML lifecycle, from data and training systems through deployment, experimentation, and monitoring. - Have experience improving infrastructure performance, scalability, efficiency, and reliability in production environments. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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 Policy At 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.
Component and Product Quality Engineer, Interconne...
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments. You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action. In this role you will: - Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions. - Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures. - Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and mass production. - Build and execute qualification strategies for cables/connectors/patch panels (mechanical, environmental, electrical, and reliability), including test coverage, sample plans, clear pass/fail criteria, defining installation criteria and processes, optics termination quality management and setting fiber standards criteria. - Partner with engineering and operations to drive smooth ramp: risk assessments, pilot build learnings, change control, and readiness reviews (EVT/DVT/PVT/MP or equivalent phases). - Own supplier and CM performance management: scorecards, audits (process and quality system), and follow-up to close findings with verified effectiveness - Work with suppliers to improve manufacturing throughput, stability, and yields for cable and connector assembly processes (e.g., wire prep, welding/crimping, overmolding/injection molding, plating, and assembly fixturing). - Lead rapid containment and root-cause investigations for failures found during bring-up, system integration tests, reliability testing, and fleet deployments. - Own the end-to-end corrective action process (8D, 5-Whys, Ishikawa, DOE as needed): define problem statements, isolate variables, validate root cause, implement fixes, and verify effectiveness. - Partner with SI/PI and test teams to correlate electrical performance issues (e.g., link margin, BER, eye closure, impedance discontinuities, PAM4, TDR and VNA) with manufacturing and mechanical drivers (connector wear, plating, contamination, misalignment, cable routing, assembly variation). - Support integration and deployment of OpenAI supercompute racks in lab and data center environments; identify quality risks tied to shipping, handling, installation, and service operations. You might thrive in this role if you: - 7+ years of experience in quality engineering, manufacturing quality, supplier quality, or reliability for interconnects or high-speed hardware used in servers, networking, storage, or high-performance compute systems. - Hands-on experience with high-speed copper interconnect products: connectors and/or cable assemblies; familiarity with patch panels or backplane/cable-backplane solutions is a plus - Strong command of problem-solving and quality tools: 8D, 5-Whys, Fishbone, PFMEA/control plans, SPC/MSA (gauge R&R), and change control. - Ability to read and interpret mechanical drawings, GD&T basics, and electrical/interface specifications; comfortable working across ME/EE/SI disciplines. - Experience driving supplier/CM improvements (audits, scorecards, CAPA) and managing nonconformance/MRB workflows. - Clear written and verbal communication skills; ability to drive alignment across internal teams and external partners. - Experience with cable manufacturing and assembly processes (wire treatment, resistance welding/laser welding, crimping, overmolding/injection molding, braiding/shielding, plating, and automated test). - Experience with optical interconnects (AOC/DAC, pluggable modules such as QSFP/OSFP), fiber termination quality, optical return loss, end-face inspection standards (IEC 61300), and contamination control practices. - Ability to travel internationally and work effectively across time zones with ODM/JDM and supplier partners. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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 Policy At 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.
Senior Engineering Manager, AI Product (Thunderbol...
Why Thunderbird? Thunderbird is one of the world’s most trusted open-source email applications, empowering more than 20 million people globally. At MZLA, the team behind Thunderbird, we build privacy-respecting communication and productivity tools that help people manage their digital lives while staying in control of their data. We are open source by design. Our products are developed transparently and in collaboration with a global community of contributors, and that same spirit shapes how we work: collaboratively, inclusively, and with a shared commitment to putting users first. We are a small but growing company of 60+ people distributed across seven countries. As Thunderbird evolves beyond a single desktop application, we are expanding across desktop, mobile, paid services, and new product experiences that help people and organizations work more effectively without giving up control to big tech ecosystems. Our revenue model combines user donations, which help keep Thunderbird’s apps freely available, with paid services that cover the costs of hosted offerings while supporting long-term sustainability and continued innovation. A note about MZLA and Mozilla: MZLA Technologies Corporation is the nonprofit-owned company behind Thunderbird and part of the Mozilla family. MZLA is separate from Mozilla Corporation and has its own compensation programs, benefits, and employment policies. To learn more, visit www.thunderbird.net and www.thunderbolt.io. The opportunity Thunderbolt is an open-source, cross-platform AI product initiative from the team behind Thunderbird. It is being built around a clear principle: people and organizations should be able to use AI while staying in control of their data, infrastructure, model choices, and long-term options. Thunderbolt is designed to support flexible deployment models, integrations with AI tools and workflows, and use cases across desktop, web, and mobile. We are looking for a Senior Engineering Manager to lead engineering execution, people management, and operating practices for Thunderbolt as it moves from R&D incubation into a more mature product and enterprise development phase . This role will help the team define what production-ready means at this stage: stronger release discipline, clearer ownership, higher user-facing product quality, stronger engineering practices, and a more scalable operating model. This is a hands-on technical management role . The Senior Engineering Manager will manage a senior engineering team, stay closely engaged with the codebase and technical execution , coordinate work across employees, contractors, and technical partners, and help the team deliver a reliable, enterprise-ready open-source AI product. The right person will bring strong people management skill
Applied AI Architect, Digital Natives
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of Digital Native customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply Digital Native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful experience with digital-native businesses or strong fluency with the needs of technology companies. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. About OpenAI OpenAI 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 . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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 Policy At 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.
Senior Staff Frontier Agents Engineer
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment - Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements - Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows - Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development - Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation - Architect multi-agent systems that orchestrate between different models, tools, and data sources - Implement evaluation frameworks to measure agent performance and iterate toward business objectives - Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization - Create sophisticated prompt engineering strategies optimized for customer-specific domains and data - Build and maintain prompt libraries, templates, and best practices for customer use cases - Conduct systematic prompt experimentation and A/B testing to improve model outputs - Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate Technical Leadership & Collaboration - Serve as the primary technical point of contact for strategic enterprise accounts - Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration - Provide technical training and knowledge transfer to customer teams - Work closely with Scale's product and engineering teams to translate customer needs into product improvements - Document technical architectures, integration patterns, and best practices Problem Solving & Innovation - Debug complex technical issues across the entire stack, from data pipelines to model outputs - Rapidly prototype solutions to unblock customers and prove out new use cases
Technical Program Manager, Public Sector
Scale's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners. As a member of our Public Sector Delivery team, you are a catalyst, willing to go deep, get technical, and drive change. You are the ultimate hands-on leader, triaging customer issues and support, using data and analytics to align internal resources around Scale’s hardest problems, and driving the creation of tools that add direct value to Scale’s Public Sector customers. All of this serves an ultimate goal of delivering outsized value in supporting our Public Sector customer’s AI/ML objectives. Your natural inclination is to dive into both technology and organizational processes to craft effective solutions and gain efficiencies. You are biased towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on customer objectives. You have a track record of driving technical projects to completion, and stewarding lasting organizational change. And you are naturally empathetic, have high EQ, and excel at building long-term relationships through diligent problem solving, domain competence, and thoughtful, strategic discussions You will: - Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers - Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions - Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space - Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains - Lead a cross-functional team to exceed the customer’s AI/ML objectives - Manage the long-term health of the customer base by identifying and preempting areas of risk or concern - Strategically identify ways we can make customer success repeatable and solve issues for future customers - Address engineering problems alongside the product development teams Must Haves: - An active TS/SCI clearance (Full Scope Polygraph is a nice to have) - 3+ years of experience succeeding in stakeholder management or customer-facing role - A technical background (education or professional experience with CS, Economics, Statistics, Engineering) - A deep understanding of ML operations process - A track record of structured, analytics-driven problem-solving - Excellent verbal and written communication skills - Ability to be forward deployed and willingness to travel at least 25% of the time (50% travel is a nice to have) We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government. - Prior experience at an API technology company and / or managing technical customers using an API - Proficiency in Python, SQL or other programming languages <div class="content-pay-transparency
Senior Machine Learning Systems Engineer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. - Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more - Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration - Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment - Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more - Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: - 5+ years of experience in ML infrastructure, including model training and model deployments - Hands-on experience with ML optimization, including memory and GPU profiling - Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more - Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb) - Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc. - Deep experience working with distributed training frameworks, including Ray and Kubernetes - Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle. - Strong organizational & communication skills - Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus</li
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