Top Technical Product Manager Jobs Openings in 2025

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:The Director of Applications Engineering will lead Shield AI’s global team of Hivemind Application Engineers responsible for deploying Hivemind with customers across defense and allied nations. This leader will own technical customer success from onboarding through operational deployment—ensuring mission outcomes, technical excellence, and value realization at scale.  This role requires a blend of technical depth, customer empathy, and organizational leadership to drive Hivemind’s adoption across unmanned platforms worldwide. What you'll do:Customer Technical Lifecycle Management Develop and implement a comprehensive technical customer engagement strategy from initial onboarding through full operational deployment and ongoing expansion. Oversee the creation and execution of detailed phased engagement plans (e.g., 3-6-9-12 months) tailored to customer needs and strategic objectives. Champion the development of customers as “sovereign capabilities,” enabling them to become self-sufficient operators of Hivemind. Team Leadership & Development Build, mentor, and lead a high-performing global team of Application Engineers. Manage distributed teams across the globe (USA, Japan, Korea, Singapore, EU etc.). Foster a culture of customer obsession, proactive problem-solving, and technical excellence. Own and drive training programs for managers and ICs Set and drive team OKRs to meet company OKRs Customer Technical Education Set standards and drive creation of high-quality customer training materials. Oversee the creation of technical documentation, best practice guides, and learning materials. Delivery Excellence & Project Oversight Drive execution of key customer projects, including CONOP demonstrations, integrations, and production deployments. Oversee execution for high-impact events such as Tech Days and customer demonstrations. Implement processes for milestone tracking, risk management, and timely delivery of deliverables. Cross-Functional Collaboration & Voice of the Customer Partner with Sales and Business Development to ensure seamless pre- and post-sales transitions. Collaborate with Product and Engineering to feed customer insights into the Hivemind roadmap. Work with Marketing to produce case studies, success stories, and public communications. Build relationships with key customer engineering and leadership contacts. Contribute to reviewing and responding to customer RFIs and RFPs. Contribute to creating and reviewing Scope of Work documents for customer proposals. Strategic Relationship Management Build long-term relationships with executive stakeholders and program leads. Ensure customers achieve measurable mission success with Hivemind. Develop strategies to create “highlight moments” and referenceable customer outcomes. Required qualifications:M.S degree in Computer Science, Aerospace Engineering, Robotics or a related field required; Master’s or MBA preferred. 15+ years in customer-facing technical leadership (solutions/support). Proven success leading globally distributed technical teams. Deep understanding of enterprise software integration, SDKs, and mission-critical systems—ideally within AI/ML, autonomy, or defense technology sectors. Strong program and project management skills; experience overseeing complex deployments. Excellent communication, presentation, and interpersonal skills, with the ability to engage both technical and executive stakeholders. Experience working with defense primes or international government customers is highly desirable. Customer-Obsessed: Passionate about understanding customer needs and driving their success. Strategic Thinker: Ability to see the big picture, anticipate future customer needs, and align enablement efforts with business goals. Execution-Focused Leader: Proven ability to translate strategy into action and deliver results. Collaborative & Influential: Adept at working cross-functionally and building strong internal and external relationships. Technically Credible: Comfortable diving into technical details up to and including reviewing code and engaging with engineering teams. Adaptable & Resilient: Thrives in a fast-paced, dynamic environment. Preferred qualifications:Ph.D. degree in Computer Science, Aerospace Engineering, Robotics or a related field required;  MBA Hands on development experience in C/C++ Hands on edge autonomy applications development experience  220,000 - 330,000 a year#LI-DM2#LF Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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About the teamThe Readiness Team is essential to translating OpenAI’s cutting-edge research into real-world customer impact. As part of the GTM organization, they empower customer-facing teams with the knowledge, tools, and frameworks needed to deliver meaningful outcomes. By turning complex product innovations into practical, scalable enablement programs, they ensure teams are prepared and aligned with OpenAI’s mission of responsible, high-impact AI adoption.About the roleOpenAI is hiring an experienced Technical Product Enablement Lead to empower our customer-facing teams—Sales Engineers, Solutions Architects, and Customer Success Managers—to deliver maximum value from our advanced AI technologies. This role will play a pivotal part in shaping our go-to-market (GTM) strategy, directly influencing customer adoption and success.You'll own the creation and execution of our technical enablement programs, ensuring our GTM teams are equipped with the knowledge, tools, and frameworks they need to drive customer outcomes from initial engagement through long-term adoption.This role is based at our headquarters in San Francisco.In this role, you will:Develop and lead comprehensive technical enablement strategies that align with OpenAI's goals and support our GTM teams.Collaborate closely with Product, Engineering, and Research teams to quickly turn cutting-edge innovations into practical, customer-ready materials.Create and deliver high-quality enablement content, including technical playbooks, customer scenarios, demos, and product deep-dives.Establish clear success metrics and continuously measure, track, and enhance the impact of technical enablement initiatives.Drive scalable enablement programs, leveraging OpenAI's own technology to provide personalized, effective learning experiences.Act as a trusted partner to GTM leadership, clearly communicating progress, outcomes, and areas for improvement.Foster a culture of customer-centricity, ensuring all technical enablement efforts directly improve customer adoption and satisfaction.Champion responsible and ethical use of AI, embedding these principles into all enablement content and activities.You'll thrive in this role if you:Have significant experience in technical enablement or program management within fast-paced technology companies, particularly in AI or advanced software.Excel at simplifying complex technical concepts into clear, compelling, and actionable content.Are skilled at rapidly developing high-quality, scalable learning programs tailored to different roles and experience levels.Communicate effectively across technical and non-technical audiences, building trust and alignment with stakeholders at all levels.Have a customer-first mindset with a proven track record of improving customer outcomes through enablement.Are proactive, organized, and solution-oriented, adept at navigating challenges and adapting quickly to changes.Passionately advocate for the ethical and safe deployment of advanced technologies.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.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 PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About the RoleWe’re seeking an AI Due Diligence Principal to lead engagements with private equity sponsors and investors — evaluating assets through the lens of AI-driven opportunities. This role sits at the intersection of advanced AI technology, investment strategy, and value creation.You will lead diligence processes end-to-end, serve as a trusted advisor to investors, and partner closely with Brain Co.’s engineering and product teams to deliver actionable recommendations and high-impact AI solutions for sponsor-backed companies. This role is designed for an operator who combines deep strategic experience with technical literacy, commercial instinct, and the ability to drive results in high-stakes environments.Key ResponsibilitiesLead AI Diligence: Evaluate target companies’ AI strategies, data infrastructure, and technical maturity. Identify opportunities, risks, and areas for value creation, distilling findings into clear, business-oriented insights.Sponsor & Client Management: Serve as the primary partner for private equity and corporate sponsors. Build long-term trust, align on scope, deliver findings with conviction, and ensure client satisfaction.Bridge Strategy & Technology: Translate complex AI/ML capabilities into actionable recommendations for investment committees, portfolio executives, and Brain Co. stakeholders.Deliver Value Creation Plans: Work with engineering and product leaders to scope, prioritize, and implement AI solutions within sponsor-backed assets — ensuring commercial outcomes and technical feasibility.Drive Execution: Own diligence engagements from scoping through delivery, ensuring excellence in both strategic analysis and operational outcomes. What We’re Looking ForExperience12–15+ years of professional experience.Background in top-tier consulting PE groups (McKinsey, Bain, BCG) and/or direct private equity investing.Startup operating experience required; demonstrated ability to execute and scale in high-growth environments.Proven track record of leading complex diligence processes with material investment and operational outcomes. Skills & AttributesStrong technical literacy in AI/ML, with the ability to evaluate data pipelines, model strategies, and infrastructure at a high level.Exceptional problem-solving and analytical skills; ability to turn complex analyses into clear insights.Executive-level communication; proven ability to influence senior sponsors, investors, and portfolio executives.Low-ego, hands-on operator who thrives in ambiguous, fast-paced environments.Commercial instinct and ownership mindset — capable of connecting AI opportunities directly to value creation.Must be in SF or willing to relocate (hybrid 3 days/week in office) Why Join UsShape how AI drives investment decisions across industries, working directly with leading sponsors and portfolio executives.Be part of an applied AI company tackling some of the world’s most consequential challenges.Collaborate with industry veterans and world-class investors.Earn competitive compensation + meaningful equity.Thrive in a culture built on speed, curiosity, and impact. If you want to sit at the frontier of AI and private equity — and deliver tangible results at global scale — Brain Co. is the place to build.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.Why Cerebras?   Here at Cerebras, we have built the world’s first wafer-scale compute platform and software stack, purpose-designed to accelerate generative AI by over 10-20x what is possible on legacy processors today. AI developers are limited today by the constant tradeoffs between model quality, speed, and cost, and Cerebras’ mission is to remove these limitations to unlock AI creativity and potential.   Unmatched speed. Our third-generation Wafer-Scale Engine (WSE-3) delivers sub-ms inference latencies and training throughput that eclipses GPU clusters by over 10x. Think instant code generation, instant design creation, agents that interact seamlessly and responsively to their users and environment.   Full-stack innovation. From custom silicon to compilers, model research, and turnkey cloud inference, we are innovating and integrating at every layer so customers can focus on breakthroughs, not bottlenecks.  Real-world impact. Cerebras customers are transforming industries across healthcare, energy, science, government, startup ecosystems, and more. We’re proud to be serving customers spanning the Fortune 500, government labs, and AI-native unicorns.  Backed to win. Cerebras is supported by top investors, like Benchmark, Altimeter, Eclipse, and Coatue.  Fearless and fun culture. We’re a close-knit, creative team that tackles all challenges with optimism and collaboration. We’ve already productized the world’s largest chip by over 50x. How hard can the next problem be? :)    About The Role  As a Forward Deployed Product Manager at Cerebras, you are the tip of the spear for our company. You’ll embed with our most strategic customers, from AI-native startups shipping 0-to-1 products to Fortune 500 enterprises transforming their industries, to translate and guide their ambitions into blazing-fast, production-ready AI solutions.  Think of yourself as part product leader, part technical expert, and part GTM strategist:  Own the outcome – From first whiteboard session to scaled deployment, you are directly accountable for customer success, adoption, and expansion.  Design for speed – Craft PoCs that showcase Cerebras’ latency super-powers, advise on model selection / fine-tuning, and benchmark end-to-end performance.  Navigate complexities – pitch new ideas, align internal and customer stakeholders, unblock hurdles, and convert customer interest into long-term, thriving partnerships.  Shape the roadmap – Distill customer insights into structured product feedback requirements, influencing future software features and chip and cluster designs.   Successful candidates will be passionate about creative problem solving and idea generation, learning and embedding into new domains, building relationships, and delighting customers.   You’ll have the opportunity to learn about and enable some of the most impactful AI products in the world, with industry-leading organizations across each vertical. You will get to work closely with a tight-knit product team, in a fast-moving but supportive environment. Your scope and career here will be driven by your passion, ability, and impact – not by your seniority or prior experience.  Key Responsibilities  You will:  Be the product leader on our most critical lighthouse accounts, each pushing the limits of what’s possible with GenAI.   Engage directly with companies from AI Natives at the cutting edge to large enterprises transforming their industries, to deeply understand their needs, goals, and requirements.  Co-architect solutions— partner with Solutions Architects, Account Managers, and our Engineering and Product teams to design tailored solutions that leverage our 10x faster speed advatanges to transform customer applications.   Directly advise on customers’ long-term AI strategies  Become a go-to-market ninja. You will be co-owning the end-to-end customer journey, working across Sales, Solutions Architects, Marketing, Engineering, and Product teams to convert interest into long-term usage and expansion. As part of this, you will also be continuously helping to improve and optimize our processes.   Identify new collaboration opportunities and use cases within accounts to expand Cerebras’ partnership with them.  Drive the product roadmap, working closely with engineering, ML, and other product teams across the company to bring your deep understanding of customer requirements to drive future feature development.   Skills & Qualifications   Minimum Requirements  Deep passion for creative problem solving and customer success.  Strong technical background (CS/EE background, or prior experience as a SWE), and familiarity with LLMs, inference needs, agents, etc.   5+ years of experience as a product manager, currently at or above the level of Senior PM. Ideally, on a developer-facing product.   Excellent ability to communicate with customers and navigate complex, high-stakes scenarios. Ability to thrive in a fast-paced, dynamic environment.  An entrepreneurial sense of ownership of overall team and product success, and the ability to make things happen around you. A bias towards getting things done, owning the solution, and driving problems to resolution.  Preferred Requirements  Experience with LLM serving stacks (vLLM, TensorRT-LLM, TGI), agent frameworks, etc.  Interest in developer platforms and tooling. MBA of equivalent professional experience. Location   Hybrid at our Sunnyvale, CA or Toronto ON, Canada preferred. Remote possible for candidates willing to travel 1-2x per quarter.   Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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The Anyscale Technical Program Management (TPM) team is expected to play a critical role executing high impact programs while continuously improving processes to sustainably grow and increase the effectiveness of the Tech organization spanning Design, Engineering and Product teams.As a Technical Program Manager focused on Anyscale’s core product solution, you’ll help lead complex application development in service of enhancing our product platform. In this role, you'll support and help scale the technical solutions that make Anyscale’s products and services possible. As part of the overall development life cycle you’ll plan requirements, identify risks, manage schedules, and communicate clearly with project stakeholders on complex projects with significant bottom line impact.Your Project management contributions will span prioritization, planning of projects and features, stakeholder management, tracking of external commitments while contributing to the organization's technical culture by highlighting and espousing best practices. You’ll learn and grow alongside talented teammates who share your commitment to excellence and appetite for innovative problem-solving. This is a rare opportunity to join in the leadership of a team that will be responsible for building a successful commercial ML/AI oriented solution from the ground up!As part of this role, you will:Help us build and ship our Commercial / OSS productWill work closely with the software development and product teams to deliver high quality, scalable products used by customers around the worldCollaborate with the product teams and align all the stakeholders to assemble project teams, assign responsibilities, identify appropriate resources needed, and develop schedules to ensure timely completion of projects by meeting project milestonesAssess risks, anticipate bottlenecks, provide escalation management, make tradeoffs, balance the business needs versus technical constraints and encourage risk taking behavior to maximize business benefitWork on a diverse technology stack spanning multiple leading commercial cloud providers, big-data solutions and ML algorithmsWe'd love to hear from you if you have:Bachelor’s degree in Computer Science or equivalent technical work experience5+ years of technical work experience 3+ years of experience with Machine Learning projects & platforms3+ years of experience with leading commercial cloud provider platformsSoftware development experience (ability to build and assess systems/platforms)Strong communication skills and can effectively share your work with a broader audience through writing and speakingAbility to handle multiple competing priorities in a fast-paced environmentA deep understanding of software development in a team, and a track record of shipping software on timeAn obsession with contributing to the development of high-performance engineering organizations, are detail driven with excellent problem solving abilities

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About the companyAt Atlas, we're building the AI payments solution for global teams. We aim to simplify how finance and people operations teams manage everything beyond payroll for their team members. That includes: reimbursements, bonuses, travel expenses, software purchases, healthcare plans and a lot more. Our goal is to provide global employees with an exceptional experience working remotely or from an office.From a technical perspective, this means integrating with distributed systems worldwide (both old and new, with and without APIs), managing globally distributed operations and users, and prioritizing the scalability of our systems. To move fast and build an incredible product, we’re looking for engineers who value technical excellence, make user-centric decisions, and enjoy working in a highly autonomous environment.What We NeedWe’re looking for a Technical Project Manager with 5-7 years of experience who is detail-oriented and organized, with strong soft skills. Experience in fintech is a plus. You should be adept at balancing technical insights with customer and user-centric perspectives.We're seeking someone who not only brings strong technical expertise but also keeps the end-user in mind and takes pride in creating a product that impacts many people. Startup experience is a big plus, especially if you've been part of a team navigating rapid growth. We're after curious, technically-driven individuals who are eager to propose improvements and take full ownership of our systems.What You’ll DoCollaborate with engineering, design, and marketing to deliver beautiful and functional products.Define product vision, strategy, and roadmap aligned with company goals.Gather and prioritize product and customer requirements.Translate product strategy into detailed requirements and prototypes.Work closely with engineering teams to deliver with quick time-to-market and optimal resources.Review PRs and ensure alignment with product vision and company goals.Use AI to move from requirements to prototype faster.What We’re Looking ForA top-tier technical PM who's great at sharing the roadmap with the team, moving fast, making quick decisions, keeping everyone on track, and shipping high-quality products.Someone who takes full ownership of their work.Real interest in the product you're building, its users, and how it affects the business.A passion for building great products.When You Shouldn’t ApplyYou're not technical.You care more about team processes than what customers actually experience.You've never worked on a product team.You rarely talked to customers in your past jobs.Your past work was mostly taking a roadmap someone else made and just executing it, rather than creating the roadmap yourself.You don't use AI tools much and aren't excited about AI.Interview ProcessSilver Screening InterviewSilver Technical InterviewClient CEO ScreeningClient Technical InterviewClient Behavioral Interview

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We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the roleThe Product Manager, Cloud Storage Platform is a senior technical leader responsible for setting the vision, strategy, and architecture for Lambda’s storage infrastructure across cloud and hybrid environments. You will own the complete lifecycle of our storage platform — from ultra–high-performance block and file systems to petabyte- and exabyte-scale object storage — ensuring it delivers unmatched performance, durability, scalability, and cost efficiency for the most demanding AI workloads in the world.This role demands deep expertise across both software-defined and cloud-native storage architectures, along with the ability to unify them into a seamless, high-performance platform. You will define how storage is delivered, managed, and scaled globally, influencing multi-billion-dollar infrastructure investments and guiding world-class engineering teams to deliver storage capabilities that set a new industry benchmark for AI infrastructure.Key ResponsibilitiesDefine and execute the long-term vision and strategic roadmap for Lambda’s storage platform across cloud and hybrid environments, ensuring it delivers uncompromising performance, scalability, durability, and cost efficiency for the world’s largest AI workloads.Lead the evaluation, selection, and seamless integration of advanced storage technologies — spanning block, file, and object architectures — using rigorous benchmarking to optimize IOPS, throughput, latency, and total cost of ownership.Translate complex infrastructure capabilities into clear product requirements, precise service-level objectives (SLOs), and measurable performance benchmarks that align with demanding AI and HPC use cases.Architect and implement intelligent data tiering strategies (hot, warm, cold) to maximize performance where it matters and drive significant cost savings at scale.Collaborate with infrastructure and operations leaders to forecast multi-year capacity growth, design for petabyte-to-exabyte scalability, and ensure consistent performance under peak workloads.Define and enforce lifecycle management, replication, and disaster recovery policies that guarantee data integrity, compliance, and near-zero downtime.Own the observability and optimization roadmap for the storage platform, deploying advanced telemetry, monitoring, and analytics to proactively detect and remediate bottlenecks before they impact customers.Partner closely with engineering to drive continuous performance tuning, eliminate systemic inefficiencies, and ensure the platform remains ahead of industry benchmarks.Minimum QualificationsBachelor’s degree or foreign equivalent in Computer Science, Electrical Engineering, Computer Engineering, or a closely related technical field.Seven (7) years of progressive, post-baccalaureate experience in product management, including at least four (4) years focused specifically on cloud-scale storage or infrastructure platforms.Proven expertise in the following areas, demonstrated within the required seven (7) years of experience:Designing and delivering large-scale storage platforms, including block, file, and object architectures, for performance-critical workloads.Evaluating and selecting storage technologies through benchmarking of throughput, IOPS, latency, durability, and total cost of ownership.Architecting and managing storage solutions for petabyte- to exabyte-scale datasets, including intelligent tiering strategies.Defining lifecycle management, replication, and disaster recovery strategies to ensure data durability and high availability.Integrating storage services across hybrid and multi-cloud environments to deliver a unified, high-performance platform.Salary range informationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. Dataiku’s value proposition is unique on the market as it allows people with very different types of expertise & technical skills to collaborate on a single platform, from no-code/business people to the most advanced Data Scientists, and develop end-to-end Analytics, Predictive and Gen AI projects, from data exploration to project & model deployment and monitoring. Mission Description Appetite for Gen AI is big, but practical approaches often remain to be unlocked for material success to be delivered. Our unique value proposition, centered around offering organizations to accelerate comprehensive Gen AI roadmaps from design to deployment with high standards of scalability and quality, demands for customers to move past the experimentation stage into tangible delivery to deliver highest impact. As we accompany them on this journey, we have a unique opportunity to put current capabilities in motion, and shape coming features through transformative co-innovation motions.  As a Technical Gen AI Product Specialist you will be in the field with our customers supporting them in unlocking the potential of our GenAI value proposition. You will guide our customers through any technical challenges they may face and build relationships with stakeholders. Your role will allow Dataiku to further reinforce its positioning in the Gen AI space, and you will play a key role in ensuring full enablement of our different teams on our value prop. How you’ll make an impact  Act as a technical Expert on Dataiku’s Gen AI value prop both in terms of vision and features as well in putting it in action. Practically speaking, you will be engaging with customers and partners at different stages of the funnel, supporting them in understanding how to address their immediate Gen AI priorities with Dataiku, including being the hands-on lead in delivering first success. Develop the right set of assets to build more scale and autonomy across teams, along with PMM and other teams. You will notably work on the roll out of Agent Connect and other Gen AI features, ensuring their usage significantly grows, with all enhancements needs being well documented. As part of this mission, you will play a key role in actively supporting functional tests of different Gen AI capabilities and early prototyping. You will actively work on developing a strong applied vision of Gen AI along with the Solution team and will actively contribute to building golden demos or solutions leveraging Dataiku’s capabilities.  Significantly reinforce our detailed understanding of Gen AI deliveries by our existing customers. Reinforce our range of supporting partnership and grow our resonance in the Gen AI eco-system. As part of this, you will support or lead the development of new partnerships (with consulting and tech partners), ensuring Dataiku is always fully aware of the eco-system evolution, and well identified. Testing other technologies and how they relate/integrate with Dataiku. Tactical development of new technical assets working closely with R&D. Why this is a unique opportunity Be the Tip of the Spear: You will be hands-on with customers guiding them to their first major successes with Gen AI and agents  on Dataiku, directly influencing their technology roadmap and our partnership. Shape the Future: While you won't own the product roadmap , your direct feedback from customer engagements and early prototyping will be critical in shaping upcoming features and co-innovation initiatives. Build Your Brand: You will have the opportunity to reinforce Dataiku's position in the Gen AI space by developing partnerships with consulting and tech partners and growing our resonance in the AI ecosystem. Drive Scale and Enablement: The assets, demos, and best practices you develop will be used to enable teams across Dataiku, multiplying your impact and building your reputation as a go-to expert. What a typical week could look like You might spend Monday and Tuesday in deep, hands-on sessions with a new customer, building out their first RAG or Agentic application and overcoming technical hurdles to deliver initial success. On Wednesday, you could be collaborating with the Product Marketing and Solutions teams to build a "golden demo" that showcases a new Agent Connect capability for an upcoming industry event. Thursday may involve a strategic call with a new tech partner to explore integration possibilities, ensuring Dataiku stays at the cutting edge of the ecosystem. On Friday, you could be documenting your findings from the week, creating reusable assets for the wider team, and participating in functional testing for an early-stage prototype. What you need to be successful  You have 5 years+ of experience in the data science and technology field, with a solid track record in understanding new technologies, market trends, and putting new tech in motion. With deep hands-on experience in delivering data science projects involving Large Language Models. Capable of explaining technical concepts in a simple, business friendly manner, to test and learn so as to identify the best approaches quickly.  Degree in Computer Science, Engineering, or a related field, with relevant certifications in AI and machine learning considered a plus. Passionate about cutting-edge technology and its practical applications, especially in AI and machine learning. Skilled in building and customizing AI agents tailored to meet specific customer needs and business objectives. Familiarity with AI & Agentic development tools, frameworks (langchain, LlamaIndex or similar), and methodologies, with a continuous learning mindset to stay updated with industry trends. Experience with RAG and vector databases Conceptual understanding of core architectural components like Kubernetes Strong understanding of Dataiku and its positioning. Strong communication skills Organized, structured, able to produce strong reusable assets (from slides and docs to Gen AI use-cases and other technical assets) 3+ years of experience with Python, hands on experience with data ETL, cleaning, machine learning algorithms and Large Language Models. Experience developing WebApps (Javascript,Dash or RShiny..) will be a plus.  Based in EMEA at or close to a Dataiku office, and able to travel.#LI-Hybrid   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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Join our client's team as a Compliance Specialist and play a crucial role in shaping ethical and regulatory standards for advanced AI applications. This opportunity allows you to leverage your expertise in regulatory frameworks, audits, and policy adherence to ensure AI models operate within legal and ethical boundaries. Your insights will directly impact the development of responsible, trustworthy AI systems. Key Responsibilities:- Educate AI systems by providing detailed guidance on compliance protocols, regulatory requirements, and industry best practices.- Simulate real-world compliance evaluation scenarios and risk assessments to enhance AI learning and responsiveness.- Collaborate with technical teams to integrate compliance insights into model development and decision-making processes.- Continuously update and refine compliance documentation to reflect evolving regulatory landscapes.- Monitor and assess AI model outputs for alignment with legal, ethical, and organizational standards.- Participate in internal audits and contribute to the creation of robust compliance monitoring tools and processes.- Serve as a subject matter expert, addressing compliance-related queries and creating training materials.] Qualifications:- Demonstrated experience in compliance, regulatory affairs, or a related field, with a strong understanding of global regulatory frameworks.- Exceptional written and verbal communication skills, with the ability to convey complex regulatory concepts clearly and effectively.- Proven ability to conduct audits, risk assessments, and policy evaluations.- Strong analytical skills with meticulous attention to detail and accuracy.- Experience working cross-functionally in diverse or distributed teams.- Ability to adapt to rapidly changing regulatory environments.- High ethical standards and a commitment to fostering responsible AI practices. Preferred Qualifications:- Prior experience educating or advising on compliance in technology, fintech, or AI-driven environments.- Certifications in compliance, risk management, or related disciplines (e.g., CRCM, CCEP, CAMS).- Familiarity with AI, machine learning, or data science regulatory considerations. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamDecagon’s Talent team partners directly with company leadership to shape org design, define what exceptional looks like, and hire the people who will shape our future. We’re Gen AI-native and constantly pushing the boundaries of how Talent teams operate - moving fast, solving hard problems, and playing a critical role in building a world-class organization.About the RoleDecagon is rapidly scaling our team and looking for highly capable Recruiters to fuel this growth. As a Technical Recruiter, you’ll have ownership and autonomy in partnering closely with company leaders and building world class teams. This role is for someone who is a builder at heart and driven to create outsized impact.In this role, you willPartner with company leaders and Co-Founders to build our Engineering, Product & Design and Agent Product Management teamsThink outside of the box to engage with and close top talentBuild and optimize interview processes for speed and efficiencyOperate with a one team mindset in meeting bold team wide hiring goalsYour background looks something like thisHave 5+ years of experience in a full-cycle recruiting roleYou’ve built and scaled top talent teams in competitive marketsAn effective communicator and adept at building strong partnerships with stakeholders and candidates alikeYou’re comfortable navigating ambiguity and a fast paced environmentEven betterBring deep knowledge of the AI talent landscape and a network of top-tier candidatesUse data proactively to unblock hiring challenges and inform decision-makingHave a sharp eye for talent and a clear philosophy on what separates the exceptional from the greatCompensation$170k - $230k + equity

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About the TeamUser Operations is a team shepherding our customer’s adoption of AI and central to ensuring that our customers' experience with our products is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleWe are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our Customers and build our post-AGI support team with us. In this role, you will be interacting directly with our customers through support tickets and Slack messages, troubleshooting complex issues to define the undefined, and setting a positive precedent for the rest of the team to follow. Your work will bring us toward industry-leading response times and service levels, while building our internal customer feedback operations in an increasingly intricate space. Your initiatives will scale our support organization through improving operational processes and leverage our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with OpenAI.If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our teamWe use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.You’ll be responsible for:Working directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.Being among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer. Being among the last line of defense before our core Product and Engineering teams, and partnering with engineering and customer teams to resolve issues.Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with product and Go-To-Market teams.Orchestrating agentic improvements to our operations that will level-up our entire team.Fostering a supportive and productive work culture within the User Operations team.Providing support coverage in on call shifts and during holidays and weekends based on business needs.You might thrive in this role if you have:5+ years of experience in user operations, technical support, or support engineering roles, ideally in tech startups or fast-paced environments.Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.Have mastered SaaS troubleshooting and quickly grasp new technologies and complex conceptsNaturally questions established norms, skillfully identifies root causes, and proactively drives innovation and process improvements.Thrive in ambiguity, rapidly adapt to change, continuously learn, and proactively seek opportunities for growth.Proven experience building strong relationships with customers and cross-functionally to drive resolution to complex issues.A humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.High horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Who We Are.Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.The Role.We are seeking an experienced Technical Chief of Staff with a strong technical background to oversee operations and coordinate projects within our engineering organization. This role requires a highly organized individual with a deep engineering knowledge. You will join a small, dynamic team and lead efforts as the key liaison between the CTO and engineers. This is a unique title for a role, we didn’t know what to call it. Truth is, if you are the right candidate we can decide to call this role whatever you want. We are looking for someone who is technical, entrepreneurial, and wants to play a high visibility, key cross-functional role.Who You Are.Acts with integrity and seeks out responsibilityDemonstrates resilience, resourcefulness, and motivation for getting things doneOrganized and pays attention to details.Approaches challenges as opportunitiesCurious and eager to learnWelcomes feedback and open dialogueValues team success over personal recognitionProcess drivenWhat You'll Be Doing.Act as a bridge between management and engineers, ensuring clear communication.Provide technical guidance and support to project teams when needed.Troubleshooting engineering process issues, and optimizing the onboarding process for new team members.Owning and maintaining our developer documentation, ensuring clarity, comprehensiveness, and overall excellence.Being a thought partner for our product roadmap by collaborating with the CEO, CTO, and customers, bringing insights and highlighting developer needs.Contributing to newsletters, blog posts, and release notes to keep our audience informed about new features and product updates.Skills, Requirements, and Qualifications.Bachelor’s degree in Software Engineering, Computer Science, or equivalent work experience.Background as an engineer, or in a cross-functional technical role such as a technical product manager at an early-stage company.Experience in a customer-facing or stakeholder-facing role.Experience writing code, either professionally or as a hobby/side project.Experience with cloud platforms like AWS, GCP, or Azure, including networking, security, and automation.Experience with Go, NextJS, ReactJS, JavaScript (ES6+), Chakra UI, RESTful APIs, Git.Experience with developing applications in Typescript/Javascript, Python, and/or Go.Bonus points for managing external-facing developer docs.Ability to communicate effectively, both verbally and in writing.Strong product sense and ability to think critically about prioritization.Ability to manage and balance multiple tasks in a fast-paced, evolving environment.Self-motivated and autonomous, with a passion for problem-solving and continuous learning.Why Work With Us.Opportunity. We are at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process and share in the benefits of AI development.Culture. We’re a lean team working together to achieve the ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.Compensation. You’ll receive a competitive salary and equity package.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.Why joinWorld class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive listExtremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 monthsBe part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1In person & interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systemsHigh risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begunCompensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too📍 Location: NYC, Flatiron office (100% in-person)About the roleBasis is in rapid growth-mode and looking to 3x our headcount within 12 months!In this role, you'll be partnering with our Head of Talent in sourcing & managing the candidate pipeline for positions across our companyIf the below describes you, we'd love to hear from you:-2-6 years of experience in recruiting, within a seed or series A company or within a recruiting agency that focuses on tech startups in NYC-Superb verbal & writing abilities-Passionate about both people & AI-Deeply curious about everything-Quick learnerWhat we look forStrong logical reasoner: Able to break complex concepts down to their fundamental elements and reason from thereFacility with language: Clear and precise written communicatorInterdisciplinary: Willing and interested to jump across multiple disciplinesCompany-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scalePassionate: Genuinely excited about our tech and its impact on accounting, finance, and economyCurious: Loves to play with new ideas/techOffice lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYCAll-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generouslyIn accordance with New York State regulations, the salary range for this position is $80,000–$170,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.