Lead Enterprise Architect in United States

About the Team OpenAI's Industrial Compute organization is building and operating the infrastructure foundation for the next generation of AI. Infrastructure Operations works across facilities, hardware, network operations, incident management, data center engineering, delivery teams, and external partners to bring capacity online safely, understand its operational state, and improve it over time. As OpenAI's data center portfolio grows across first-party and partner-delivered capacity, the organization needs clear goals, trusted data, repeatable processes, and systems that make ownership, risk, readiness, and performance visible. This role will help build the operating mechanisms that allow Infrastructure Operations to scale with rigor. About the Role We are seeking a Technical Program Manager to own the systems, data, reporting, governance, and program-management backbone for Infrastructure Operations. Reporting to the Delivery & Operations Lead, you will translate strategy into executable goals and operating cadences, turn operational needs into software and data solutions, and create the mechanisms that keep a rapidly evolving organization aligned and accountable. This role will also own the current 1P+3P delivery-tracking layer within Operations: milestones, delivery timelines, quantity forecasts, risks, decisions, and executive reporting. You will partner closely with 1P Delivery Program Management, Compute TPMs, Data Center Engineering, construction, commissioning, and operations leaders to ensure that delivery information becomes complete, usable input for readiness, handover, and ongoing operations. You will own program health and the operating system around it: the goals, data definitions, workflows, reporting, decision paths, and follow-through that help functional DRIs execute. The ideal candidate is comfortable in ambiguity, technically fluent enough to implement real systems, and relentless about converting scattered information into durable mechan

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a Delivery Director, Capacity programs for our on-premises data center builds and neo cloud (GPU cloud) delivery programs. This is a high-visibility, execution-critical role sitting at the intersection of infrastructure engineering, capacity planning, vendor/partner management, and customer delivery. You will own the end-to-end delivery lifecycle for large-scale compute infrastructure — from initial site/capacity commitments through power, networking, and hardware bring-up, to production-ready GPU/compute capacity landing in the hands of internal teams or customers. You'll be the person who turns ambitious infrastructure roadmaps into predictable, on-time, delivery. RESPONSIBILITIES Own delivery of on-prem infrastructure builds — colocation expansions, power/cooling readiness, rack-and-stack, network fabric bring-up, and hardware acceptance testing — coordinating across colo providers and partners, network engineering, hardware ops, and vendor teams. Drive neo cloud delivery programs — manage capacity delivery from GPU cloud and neo cloud partners (e.g., colocation/bare-metal/GPU cloud providers), including contract milestones, capacity ramps, SLAs, and go-live readiness. Build and maintain master delivery schedules across concurrent, multi-site, multi-vendor programs, integrating power/shell timelines, hardware lead times, logistics, and software/platform readiness into a single critical path.

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission. About the Role As AI agents move from answering questions to taking action across the internet, the standards that govern identity, delegated authority, discovery, communications, agentic-commerce and payment interfaces, agent-facing web access, agent-specific provenance, and auditability will determine whether agents can operate safely, interoperably, and with clear accountability. OpenAI is looking for an Agent Standards Manager to lead execution of our external technical standards strategy for a defined set of agent standards workstreams. This role will work closely with Agent Security, Applied and Platform teams, Product, Legal, GRC, Global Affairs, and GTM to turn OpenAI’s technical architecture and controls into credible specifications, protocol profiles, assurance criteria, and implementation guidance—and to bring emerging external requirements back into product and security roadmaps before they become blockers. The positions developed here are technical standards positions, not broad public-policy positions. This is a builder’s role as much as an external-facing role. You will execute a prioritized standards plan, author and negotiate protocols, build coalitions, secure the right internal approvals, and represent OpenAI in assigned technical forums. You will also help create repeatable processes that let the compa

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion. We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science. Responsibilities: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together in one organization to accomplish this. In pursuit of this mission, our OpenAI for Government team helps customers understand how to leverage and deploy our highly capable AI products across their organizations. The team comprises Sales, Solutions, Support, Marketing, and Partnerships professionals who collaborate to create valuable solutions and bring AI to as many users as possible. About the role Our OpenAI for Government team has a unique mission to help government customers understand the transformative impact that highly capable AI models can have on their agencies and missions. This role combines technical understanding, strategic vision, partnership management, and a value-driven approach tailored to state and local government customers. This Account Director will own a portfolio of strategic state and local government accounts. The ideal candidate brings deep knowledge of the state and local government landscape, established relationships with government leaders, and a track record of driving technology adoption within complex public sector organizations. You’ll lead key opportunities through the entire sales cycle, from pipeline development through close. You’ll collaborate closely with researchers, engineers, and solution strategists to help government customers advance their missions through AI. This role requires regular travel to engage customers, partners, and industry stakeholders. This role is based in Washington, DC, or San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: Manage a focused set of key accounts, developing and executing comprehensive account plans Lead state and local government customers through their AI adoption jour

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 Talent Brand Manager, you'll shape how current and prospective team members understand what it means to work at GitLab. You'll bring our employer value proposition to life through talent brand strategy, recruitment marketing, and integrated campaigns across the candidate journey. You'll combine editorial judgment, performance data, cross-functional influence, and artificial intelligence tools to create clear, inclusive, and authentic candidate experiences. What You’ll Do Lead GitLab's talent brand strategy, translating our employer value proposition and company direction into clea

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid’s Consumer team owns all of Plaid’s consumer facing surfaces. This includes Link, Plaid’s flagship product, which has been used by over half of all US adults to share their information safely and securely with financial applications. Link drives the vast majority of Plaid’s revenue. We’re also working on some exciting, 0-1 consumer initiatives. Both areas are top business priorities. As part of Plaid’s first Consumer team, you will lead product development and execution within a startup-like environment at Plaid. Responsibilities Define an ambitious vision / roadmap, sign up for quarterly / half year goals, and partner with the cross-functional team to hit them Drive prioritization and execution (build, measure, iterate) Identify opportunities through consumer feedback and staying close to our data / dashboards Partner with cross-functional team (design, research, data science, legal, and compliance) to do all of the above Qualifications You have successfully launched large consumer facing features driving meaningful outcomes at B2C companies You start with the consumer problem and have held a high bar for consumer experience You naturally gravitate towards using data to mak

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Technical Accounting, Accounting Policy, and Financial Reporting organization partners across Finance to assess complex corporate matters and develop well-supported U.S. GAAP conclusions. The team supports non-routine business activities requiring thoughtful technical judgment, scalable accounting policies, financial statement disclosures, processes, and controls. About the Role You will partner closely with Technical Accounting, Financial Reporting and Controllership to translate complex accounting conclusions into scalable operational procedures. You will build processes for non-standard transactions, including warrants, equity-method investments, debt and equity securities, non-controlling interests, hypothetical liquidation at book value allocations, business combinations, and other complex financing, investment, and capital arrangements. You will advise stakeholders across Corporate Accounting, Financial Reporting, Treasury, Legal, Tax, Strategic Finance, FP&A, Equity, Internal Controls, valuation specialists, and external auditors. You will help resolve complex accounting questions, align leaders on material judgments and risks, and translate conclusions into audit-ready memoranda, close entries, disclosures, processes, and controls. This is a highly visible role for an accounting professional who can turn technical conclusions into practical execution, support non-routine transactions through recurring close processes, and strengthen operational accounting across Finance. In this role, you will: Own operational accounting for complex financing, investment, equity, and capital arrangements, including classification, measurement, presentation, disclosure, and recurring close processes. In partnership with technical accounting, lead day-one and recurring accounting for non-standard transactions, including fair-value measurements, eq

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for a principal software engineer to lead the next generation of data infrastructure at Pinterest which powers mission critical big data and AI applications. You’ll be working on some of the most exciting big data and AI open source technologies (Flink, Spark, Kubernetes, etc.), at the scale of exabytes of data to help Pinners discover and do what they love. What you’ll do: Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling Work with internal customers on critical business use cases that rely on big data Provide thought leadership to the entire company on how data should be

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product leaders who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate product leaders to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Safety & Customer Care (SCC) Product team builds the platforms, products, and experiences that support riders and drivers when they need help most — and help keep them safe every time they ride. As the Director of Product, Customer Care, you’ll lead a team of product managers driving Lyft’s customer care strategy end to end: AI-powered support across chat and voice, the contact center platforms our support teams run on, and the underlying data layer which is critical to understand where our products can be improved. It’s a rare chance to shape how a category-defining company delivers support at scale — across emerging AI capabilities, global expansion, autonomous vehicle partnerships, and new lines of business. Responsibilities: Own the vision, strategy, and multi-year roadmap for Lyft’s Customer Care product portfolio — spanning AI-driven support automation, contact center platforms, self-service and issue resolution, and the trust and safety products underpinning every interaction Lead, coach, and grow a team of product managers, setting a high bar for product craft, execution, and career development Partner with senior leaders across engineering, data science, design, operations, and finance to set priorit

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Software Engineers deliver high-value products for our customers, and infrastructure that enables our business to scale. Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, and driving complex projects across our technical stack.. Your past experience will be leveraged to enable and accelerate Vanta’s growth. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. Our product integrates deeply with the services that present security risk to a company, pulls and analyzes data from those sources, and surfaces potential security threats to our customers in real time with guidance to remediate them. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. As a Software Engineer on the Expansion Team, you’ll play a central role in shaping Vanta’s self-serve and product-led growth motion. Instead of working horizontally across compliance workflows, this team focuses on the full post-activation lifecycle—driving retention, expansion, and revenue automation across the product. You’ll build the core systems that power Vanta’s purchasi

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions

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 Replit is experiencing extraordinary growth across our customer base and seeking a Mid-Market Account Manager with strong communication skills to drive retention, expansion, and customer success. Candidates with Sales or Account Management experience in SaaS, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for customer success and AI. You'll leverage your skills to help customers maximize value from Replit's platform while driving sustainable revenue growth. In this role you will: Execute renewal processes with a focus on expansion and long-term partnership development Serve as the primary relationship owner for your assigned customer portfolio, ensuring high satisfaction and retention Champion customer success by helping businesses realize the transformative potential of AI-powered software creation Lead onboarding programs that accelerate customer time-to-value and platform adoption Guide customers through Replit's rapidly evolving feature set, including Agent 3's autonomous capabilities, Plan Mode, and automation tools Maintain accurate customer health scores and renewal forecasting data in Replit's CRM (Hubspot) Gather and communicate valuable customer feedback, championing their interests within Replit Optimize customers' use of the Replit platform through ongoing training, support, and strategic guidance Required skills and experience: 3-5+ years in a quota-carrying Sales or Account Management role managing a mid-market book in SaaS or developer tools Proven ability to expand product

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. The Creator Partnerships team supports that mission by building trusted relationships with creators, talent, experts, and organizations that help people understand and use AI in meaningful ways. We work closely with teams across OpenAI to develop thoughtful partnerships and programs grounded in trust, usefulness, cultural relevance, and measurable impact. Our focus extends beyond promoting individual product features. We aim to help partners discover valuable applications of AI, share credible insights with their communities, and create lasting value for both OpenAI and the people we work with. About the Role We are seeking a Scaled Partnerships Manager to own the agency relationships and operating systems that enable OpenAI to work with influencers and creators at scale. This person will manage key creator marketing agencies and platforms, establish clear standards for selection, pricing, deliverables, brand safety, execution, and measurement, and ensure our programs are both culturally credible and operationally rigorous. You will translate go-to-market priorities into repeatable creator programs across a mix of micro, mid-tier, and larger creators. You will be accountable for the full agency and campaign lifecycle, from annual planning and briefing through execution, paid amplification, reporting, optimization, and post-program learning. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In This Role, You Will Lead scaled creator marketing programs aligned to business priorities. Own the creator agency portfolio, including partner selection, scopes, budgets, staffing, performance expectations, operating cadence, and business reviews. Build a clear agency model that defines each partner’s role, internal and external ownership, and how work moves from brief

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 We are looking for an AI Agent Security Architect to function as the primary technical authority for Replit’s autonomous and AI agent security blueprint. In this critical role, you will design, implement, and maintain the runtime defense systems, guardrail frameworks, and sandboxing architectures that govern AI agents executing code, invoking tools, and reasoning across our platform. You will be a key technical contributor—leading high-impact AI security initiatives and bridging the gap between non-deterministic AI behavior and rigorous cybersecurity controls for both engineering and executive leadership. What You'll Do AI Agent Security Strategy & Technical Execution AI Agent Security Blueprint: Define the long-term vision and architectural patterns for securing autonomous agent workflows, Model Context Protocol (MCP) integrations, multi-turn reasoning loops, and multi-agent coordination. Runtime Guardrails & Policy Enforcement: Architect and deploy dynamic input/output guardrail systems, semantic firewalls, and real-time intent verification filters to prevent goal hijacking, system prompt leaks, and indirect prompt injections. Agent Execution & Tool Sandboxing: Partner with Infrastructure and AppSec teams to design secure, short-lived, micro-isolated environments (e.g., microVMs, WebAssembly, container sandboxes) where agents can dynamically execute code, run shell commands, and interact with host operating systems safely. Agentic Threat Modeling & Red Teaming: Conduct specialized threat modeling against non-deterministic systems. Lead automated and manual AI red-teaming initiatives to uncover vulnerabilities in RAG context pipelines, vector stores, and tool-calling interfaces. Identity