Human Engineer in United States

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Instacart Catalog team is the product data infrastructure powering everything customers see, find, and trust across the marketplace. We ingest data from retailers and third-party sources and use AI/ML and human operations to validate, enrich, and publish product information at scale. At the heart of this infrastructure are product attributes — the structured descriptors that power search filters, item card badges, dietary safety signals, health personalization, brand advertising, and agentic commerce. They touch every major surface and every major stakeholder. We're looking for a Senior Product Manager to own the product data layer that determines how customers find what they need, how brands show up on shelf, and how Instacart earns trust as the definitive source of grocery product data. In this role, you'll set the end-to-end strategy for catalog att

About the Team OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it demands deep, ongoing engagement with the policymakers, communities, and institutions shaping the future of AI. Our approach is grounded in shared stewardship: we collaborate with communities, educators, stakeholders and frontline organizations to co-create AI tools and practices that reflect real needs and expand opportunity. The Global Affairs team leads this engagement. We cultivate authentic, collaborative relationships to ensure that diverse perspectives inform our work. We work shoulder-to-shoulder with communities — meeting people where they are, listening first, and building solutions together. Through sustained collaboration and shared learning, we co-create pilots, tools, and local programs that reflect real needs; we then partner with public officials and peer organizations to help bring those community-shaped ideas to broader practice. In close partnership with our research, product, and policy colleagues, the U.S. Policy and Partnerships team leads our Global Affairs engagement in the U.S. at the federal, state, and local levels, working across regions to anticipate emerging issues, craft forward-looking strategies, and champion policies that align technological progress with human values. Our mission is to help shape the global conversation on AI and ensure that the benefits of this transformative technology reach people everywhere. About the Role As Engagement and Outreach Lead, you will help lead OpenAI’s efforts to build trusted, long-term relationships with third-party organizations, civic and community leaders, and mission-aligned networks that help ensure AI benefits everyone. This role blends strategic partnership and policy development with visible public engagement and coalition-building. You’ll represent OpenAI across education, workforce, technology policy, civic, an

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Most people think AI is coming for their job. We think it's coming for the boring parts of it. We’re not looking for a social media manager. We’re looking for a Social Media Lead — someone who’s plugged into the conversation at a level that goes beyond posting. Someone who understands that the debate happening right now around AI and human creativity is one of the most consequential of our time, and who wants to be an active voice in shaping it. Less Gordon Ramsay, more Anthony Bourdain. You'd own how Synthesia shows up across LinkedIn, X, Instagram, TikTok, and YouTube. Not just posting. Thinking. Helping figure out what a leading AI company should sound like in culture, and then making it happen. You'll work within brand foundations built by people who've shaped some of the most iconic companies in the world. But social is its own language and we know that. You'll have a real say in how the voice evolves. The team You'll report into the Head of Social Media and work alongside a team of six, including videographers, editors, and creators who produce exceptional content in-house across every format and channel. This team can make anything. What they need from you is someone who knows how to make i

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: We are looking for a Head of Pricing to own pricing and packaging at one of the most consequential moments in Drata's history. The software industry is in the middle of a generational shift, from products built around human users to products built around AI agents that do work end-to-end. The commercial models that powered SaaS for the last fifteen years were built for a world wher

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Most companies have more GTM ideas than they can reliably execute. Launching a new motion still requires manual targeting, weeks of enablement, seller coordination, and messy measurement. Learnings live in people's heads. When something works — or stops working — the playbook doesn't change fast enough. Ramp is building the AI platform that GTM runs on — a ground-up application layer where agents handle execution, playbooks encode institutional knowledge, and every interaction feeds a learning loop that makes the system smarter each cycle. We're operating at the frontier of what agents can do in a real enterprise context, and the problems are unsolved: reliable background execution at scale, human-agent collaboration that earns trust, and feedback loops that turn raw GTM signal into a compounding organizational advantage. As a PM for Revenue, you'll own the data and execution layer that makes the GTM platform work: the scoring and routing systems that get the right accounts to the right people, the data infrastructure and acquisitions

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Role Summary Replit is the world's most widely used AI coding platform, and as we scale, we're rebuilding how compensation works internally from the ground up. This role owns that. You'll go beyond traditional comp management to architect the systems, data infrastructure, and AI-enabled workflows that make fast, consistent, and high-quality compensation decisions possible at scale. You will serve as the architect of our compensation engine: translating compensation philosophy into scalable systems, and leveraging data, automation, and AI to improve speed, accuracy, and transparency. This role sits at the intersection of compensation, product, and systems design. You will partner closely with People Business Partners, Recruiting, Finance, People Operations, and the Data team to embed compensation directly into company workflows—eliminating manual processes and reducing reliance on comp as a service layer. You will shape how we attract, reward, and retain top talent, while building infrastructure that scales with the business. What you'll own Compensation Strategy Evolve our compensation philosophy across cash and equity; design and maintain salary bands, leveling frameworks, and equity structures Ensure market competitiveness while partnering with Finance on cost and workforce planning AI-Native Workflows Design and implement AI-enabled workflows for offers, merit, promotions, and market adjustments Build human-in-the-loop validation frameworks to audit AI-generated recommendations for bias, accuracy, and logic Decision Support & Analytics Operate compensation planning cycles and generate first-pass recommendations for comp decisions Build dashboards and analytical frameworks covering market competitiveness, interna

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE The Office of the CEO works directly with Amjad Masad and CEO leadership to advance Replit's strategy, external presence, and long-term positioning. This role sits at the intersection of the Office of the CEO and Replit's Brand and Creative function, with a singular focus: building personal presence into one of the defining founder voices of the AI era. The Executive Social Media Specialist will build an intentional, premium, long-term strategy across visual channels, primarily Instagram. This is an all-in-one creative operator role, not a traditional social media manager. You will travel and capture meaningful moments as they happen, edit quickly, and publish polished content without relying on a larger production team. WHAT YOU'LL DO Own photography, videography, editing, and publishing across official social channels Travel with the CEO to capture speaking engagements, interviews, awards, office visits, and meaningful meetings as they happen Identify and produce content around the pillars that have proven to resonate: founder story and personal journey, entrepreneurship and company building, global perspective and cultural identity, and human founder moments Develop premium, documentary-style storytelling that favors real moments over manufactured content Build out a presence on Instagram and other visual mediums through premium photography, documentary-style video, and behind-the-scenes storytelling Maintain quality and brand guardrails, prioritizing credibility and long-term influence over trend-chasing, gimmicks, or a high-volume creator posting cadence Partner closely with Replit's Marketing and Communications teams while remaining focused on distinct personal brand Move from concept to final exec

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Human Resources Information Systems Analyst, People Technology - Workday, you won't just manage our people systems—you'll own them. You'll drive how our people technology evolves, partner deeply with stakeholders to solve root problems, and build scalable solutions that reduce friction and improve reliability, usability, and insight across the People technology landscape. This is a strong fit if you think like a product owner, refuse to accept requests at face value, and can move with speed and precision within public company compliance requirements, including SOX ITGCs. In this role, you'll le

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Manager of Product Management, you will lead one of GitLab's most strategic product portfolios: Agentic Software Delivery, spanning Continuous Integration, Artifact Management, Continuous Deployment, and Observability. This is a people leadership role. You will guide senior, domain-expert product managers and define how these connected areas evolve as AI agents take on more of the execution work in building, testing, shipping, and monitoring software. Today these are treated as separate stages with a human making the call at each handoff. That model is changing. As agents write more of the cod

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Support Experience group develops and applies technology at all points of the user support journey to solve customer problems at scale, keeping millions of business running and unlocking growth across Stripe’s product suite. What you’ll do As a Product Lead for Support Experience, you will be devising strategy, developing product requirements, and driving execution for critical initiatives that create a world-class support experience for all of Stripe’s customers and users. You’ll be at the forefront of applied AI, solving problems for businesses and consumers, and redefining what great can look like. You’ll be leading and growing a team of experienced Product Managers who have a track record of delivering high-impact products that elevate the support experience for Stripe’s users and our user-facing support teams. Support is a high-visibility area at Stripe, and you’ll need to be comfortable orienting company leadership around your goals. Responsibilities Own and drive the product roadmap for the future of conversational AI and human support at Stripe Shape strategy, steer product requirements, and hold a high bar for the execution of high-impact initiatives that impact key segments and top customers. Partner with Stripe’s AI teams to unlock opportunities for serving users more effectively Build strong relationships with senior leaders across Operations to continually uplevel our human support functions Grow and coach a glob

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About the Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We expect you to: Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Be excited about OpenAI’s approach to research Nice to have: Interested in and thoughtful about the impacts of AI technology Past experience in creating high-performance implementations of deep learning algorithms 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

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 builds the data, environments, graders, training methods, and feedback loops that shape what OpenAI’s next agents can do and what they are like to work with, then carries those improvements through major training runs and into products used by people every day. About the Role As a member of the Agent Post-training Personality team, you will help make OpenAI’s agents exceptional collaborators. You will study what makes an agent thoughtful, clear, perceptive, appropriately proactive, and genuinely easy to work with, then translate those insights into evals, training data, reward signals, and model improvements. We use “personality” to mean much more than writing style or general likability. It includes whether an agent understands what the user is trying to accomplish, communicates with good judgment, adapts to context, asks useful questions, handles disagreement honestly and takes initiative at the right moments. The goal is to create a strong, tasteful default that can adapt to different people and situations. This work combines behavioral research, product thinking, research and communication taste. You will collaborate with product teams, human experts, and researchers across post-training and pretraining to ensure that improvements survive the full trai

About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines We Expect You To Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact. Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. Experience building high-performance deep learning or large-scale data processing systems. 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

About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We’re looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You’ll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance. We Expect You To Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact. Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML. Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. Experience building high-performance deep learning or large-scale data processing systems. 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

Become a part of our caring community Do you thrive on designing secure, enterprise-scale solutions that protect critical systems, data, and networks? As a Lead Security Architect in Humana, you will play a key role in shaping the security blueprint for the organization by aligning security architecture and infrastructure with enterprise business and technology priorities. In this role, you will partner with EIP and business leaders to assess emerging threats, identify architectural gaps, and design forward-looking security solutions that strengthen Humana's overall security posture. You will also lead security assessments, vulnerability analysis, and product security reviews while helping develop innovative testing approaches and mitigation strategies for evolving risks. This is a high-impact opportunity to influence enterprise architecture, guide secure technology design, and help protect the business through strategic, modern security architecture. The Lead Security Architect engages with relevant EIP stakeholders to identify current and emerging security threats and works to design security architecture elements to mitigate threats as they emerge. Additionally, the role actively works to identify gaps within existing EIP reference architecture and designs updates to impacted security architecture elements to mitigate emerging threats. Performs and oversees efforts to conduct vulnerability testing, risk analysis, and security assessments of relevant enterprise / EIP infrastructure. Ensures EIP and Humana stakeholder security requirements are necessary to protect Humana's business functions and are adequately addressed in all aspects of enterprise architecture. The Lead Security Architect role is aligned to a segment (line of business) to proactively discover security issues during solution design and prevent vulnerabilities during development.