Platform Engineering Director in United States

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. Vanta for Government (V4G) is how we bring that mission to the public sector. As federal compliance undergoes its biggest shift in a decade — FedRAMP 20x, machine-readable authorization, OSCAL — we're building the platform that turns federal frameworks into automated, continuously monitored product experiences. The GRC Subject Matter Experts on this team are the people who make that possible. As Vanta's GRC Subject Matter Expert for V4G , you'll own federal compliance content used by every customer pursuing or maintaining federal authorization on our platform. This is an interpretation-and-authoring role, not a compliance program administration role: your job is to interpret underlying control requirements, identify where FedRAMP modifies or constrains the NIST framework, and translate those interpretations into precise, technically testable guidance that engineering can build and customers can act on. The content you write ships as product — a five-person startup and a Fortune 100 CSP both receive it — so calibrating depth, precision, and universality is the core craft. You'll join Vanta's Security organization, which directly influences product development, facilitates the creation of automated GRC solutions for customers, and provides expert advisory services across the company. What you’ll do as a V4G GRC SME at Vanta: Build and own federal compliance frameworks — Lead the creation, enhancement, and lifecycle management of controls, evidence requirements, and implementation guidance for FedRAMP (Low/Moderate/High), NIST SP 800-53, NIST SP 800-171, CMMC, DFARS, and StateRAMP. Author clear control rationales, acceptance crite

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’re looking for a Senior Product Marketing Manager to help accelerate the growth of Replit Agent — a core part of our mission to allow anyone to build software, without any coding experience. This role sits at the crossroads of product, engineering, and go-to-market , ensuring that every new feature we ship lands with clarity, excitement, and impact. You’ll work closely with our engineers, PMs and Partnership teams to understand the product roadmap, then translate those innovations into compelling narratives that resonate with builders of all kinds — from solo builders to enterprise teams. You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem , crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives. Replit moves fast — we ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We’re looking for someone who thrives in that environment: part strategist, part storyteller, and part operator. What You’ll Do: Lead Product Marketing for our Launches Develop and operationalize Replit’s launch motion — from early roadmap planning through public release. Create repeatable frameworks that keep launches fast, clear, and coordinated. Shape Messaging & Positioning Craft technically fluent, developer-first narratives that highlight how Replit’s AI coding agent accelerates creativity and productivity. Tailor messaging to different developer segments and channels. Create Sales & Growth Enablement Build the first generation of enablement materials (decks, demos, battlecards, FAQs) that empower GTM teams and partners to tell Replit’s story confidently. Lead Competit

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 Organization Support Experience Engineering builds the technology that powers Stripe's global support operations. Our engineers create the systems and services that support agents worldwide rely on every day to resolve issues for Stripe's millions of merchants and users — at scale, in real time, and across a growing range of channels and offerings. The Case Resolution Platform team owns the core infrastructure and tooling that enables support agents around the world to do their best work. This includes case routing, live channels infrastructure spanning voice and messaging, machine translation, and integrations that connect Stripe's support stack to the platforms agents depend on. What you'll do We're looking for full-stack engineers who want to make an impact on the tools and infrastructure that power global customer support at scale. Our team collaborates with many cross-functional teams — from Infrastructure to Product to Operations — to deliver reliable, high-quality systems that support agents and merchants depend on every day. The team is actively expanding its live channels infrastructure to support new messaging platforms, including in Greater China, requiring collaboration with third-party providers in the region. Responsibilities Design, build, and maintain full-stack services and infrastructure — spanning both backend systems and user-facing tooling — that support agents around the world rely on to resolve merchant and user issues in re

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 Our Product Marketing team's mission is to generate customer insights that inform Stripe's product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch. We also drive both self-serve and sales-sold marketing efforts. We are looking for an experienced product marketing leader to own our go-to-market strategy and grow adoption for Stripe Billing—which includes Subscriptions, Invoicing, and Metronome. What you'll do Define and lead the go-to-market strategy for all Billing products, including segmentation, target audiences, positioning, launches, and post-launch adoption. Build, lead, and develop a high-performing team of product marketers, setting clear priorities and raising the bar for strategic thinking, customer insight, and execution. Synthesize customer, market, and competitive insights to inform product strategy, roadmap prioritization, and differentiated commercialization plans. Develop clear, compelling positioning and messaging that translates complex revenue-management capabilities into value for executive and technical audiences. Partner with S

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 Our Product Marketing team's mission is to generate customer insights that inform Stripe's product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch. We are looking to hire a Product Marketing Manager to own go-to-market strategy and drive adoption for Stripe's data products — including Sigma, Data Pipeline, Database, and new products we’re incubating. As monetization grows more complex — from AI companies hyperscaling globally to enterprises integrating Stripe deeply into their operations — data has become a critical lever that helps businesses make better decisions. What you'll do As a key owner of our GTM strategy for Stripe's data products, you'll need to quickly build a deep understanding of our products, the data analytics buyer, and our competitive differentiation. You will: Be the expert on our data analytics buyers — understand how data analysts, analytics engineers, and BI practitioners evaluate and adopt tools, and translate those insights into product roadmap recommendations and GTM strategy. Own positioning and messaging for Stripe's data

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 Our Product Marketing team’s mission is to generate customer insights that inform Stripe’s product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch. We’re looking to hire a Consumer Product Marketing Lead to own go-to-market strategy and positioning for Link as we scale the world's most widely used digital wallet. Link is Stripe’s digital wallet, already used by 250+ million consumers, with millions more joining the network every month. This role sits at the center of Stripe's consumer ambitions—translating Link's product innovations into compelling narratives that drive discovery, adoption, and loyalty at scale. What you’ll do As Consumer Product Marketing Lead for Link, you will own strategy and execution across positioning and go-to-market to grow Link's network—and bring the next hundreds of millions of shoppers into the network. Define Link's consumer positioning and messaging : Develop and continuously evolve Link's core value proposition and messaging framework for consumers, ensuring a consistent and compelling story across every touchpoint

About the Team OpenAI’s Application Engineering team builds the internal products and platforms that help OpenAI operate securely and at scale. We engineer, own, and evolve OpenAI’s core productivity ecosystem, creating secure applications, integrations, automation, and reusable tooling where off-the-shelf software is not enough. Our work spans employee-facing experiences and the services, APIs, control planes, and governance that make them reliable, permission-aware, and scalable. We also act as a customer zero for OpenAI’s technology, building the enterprise foundations that let employees and agents safely access the context, tools, and actions they need. We partner closely with IT, Security, product teams, and platform providers to turn company-wide problems into durable systems, learn from real internal workflows, and help shape the products we deploy. We create paved paths that let teams move quickly without compromising security or operational quality. About the Role As a Staff Software Engineer on Agent Productivity, you will shape the foundation that enables teams to build agents with secure access to the context and capabilities they need. Slack will be the first and deepest implementation surface—and where you spend most of your time—owning its application architecture, integrations, APIs, governance, and administration automation while building patterns that extend to internal systems, identity platforms, and other enterprise applications. This is a hands-on engineering role with broad organizational impact as agents support more employee workflows. You will define platform architecture, build reusable foundations, and establish secure patterns for identity, permissions, connectivity, and operations that make agents easier to develop, deploy, and manage. In this role, you will: Own the technical strategy and architecture that enable teams to build, connect, and deploy agents quickly and safely, using Slack as the primary implementation surface. Design and

About the Role OpenAI's ads platform is experiencing rapid global scale. As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end—driving strategy across targeting, funnel optimization, and performance forecasting. You will work directly with the SMB Ads Marketing team and your insights will be the primary catalyst for high-stakes decisions across marketing, product, and sales engineering. What You'll Do Full-Funnel Analytics Establish the foundational growth metrics and North Star KPIs for the SMB Ads ecosystem, optimizing the journey from lead acquisition to long-term retention. Diagnose funnel friction points through advanced behavioral analysis and quantify the incremental revenue impact of proposed optimizations. Partner cross-functionally to transform complex data findings into actionable, high-priority roadmaps for product and marketing stakeholders. Targeting, Segmentation & Propensity Modeling Engineer sophisticated propensity models and look-alike frameworks to identify and capture high-LTV SMB advertisers. Own the lifecycle of target list construction, including advanced data enrichment, multi-dimensional prioritization, and granular performance tracking. Develop robust segmentation architectures that power hyper-personalized outreach across paid, partnership, and outsourced (BPO) channels. Synthesize market signals to refine our value proposition, ensuring OpenAI remains a key platform for SMB business growth. Campaign Analytics & Measurement Design and implement rigorous multi-touch attribution and incrementality frameworks to evaluate channel efficacy. Lead the experimental roadmap: formulate hypotheses, execute A/B and multivariate tests, and communicate results to executive leadership. Automate business-critical reporting and dashboards to provide real-time visibility during weekly operating reviews. Forecasting & Planning Build high-fidelity revenue and advertiser growth models to project perfor

About the Team The Ecosystem AI Deployment Engineering (ADE) team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. About the Role We are looking for an AI Deployment Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high-utility plugins for ChatGPT and Codex. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production-ready integrations. You will work across partner product and engineering teams and OpenAI's product, engineering, partnerships, legal, policy, design, and go-to-market teams. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product minded engineer who wants to stay close to users and partners while still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex. This role is based in our San Francisco office. 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 will: Own the technical partner journey for priority B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance. Identify strong plugin use cases, define crisp user journeys and expected behaviors, and

About the Team Codex is OpenAI's software engineering agent. Codex Security extends that work into one of the most important product areas in AI: helping organizations find, validate, prioritize, and fix real vulnerabilities in the software they build and depend on. The Codex Cyber team is building the product and platform foundations for AI-native application security. This includes Codex Security product experiences, cloud-based security analysis, platform controls across Codex, customer deployment and support tooling, and infrastructure that helps security researchers and cyber models improve over time. The team is early, small, and growing quickly, with a mandate to move fast and hire exceptional builders. About the Role We are looking for software engineers first: strong full-stack or product-minded generalists who can own ambiguous product and platform problems end to end. Security experience is helpful, and security curiosity is important, but this is not a role for security specialists who only occasionally write code. The right person is an excellent builder who is excited to work in security and can turn complex research, product, and customer needs into reliable systems. You will work across user-facing product surfaces, developer workflows, backend services, security analysis pipelines, cloud infrastructure, and internal tooling. You may build features that make Codex Security more useful for application security teams, systems that scale cloud-based security analysis, platform controls that make agentic coding safer, or infrastructure that helps security researchers and models become more effective. You will collaborate closely with engineering, product, security research, infrastructure, and customer-facing partners as Codex Cyber becomes a major product and platform investment for OpenAI. In this role, you will: Build end-to-end product features for Codex Security, from developer-facing interfaces to APIs, backend services, and workflow tooling. Own a

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Implement ro

About the Team: GTM Innovation is a product engineering team with a charter to automate 100% of digital knowledge work in OpenAI's GTM, so sellers spend more time directly with customers. AGI-level reasoning doesn’t mean organization-level transformation “just works” out of the box; orgs must be redesigned around abundant intelligence and persistent virtual coworkers. Our team builds and scales a fleet of virtual coworkers that operate as full-time members of the account team, and redefines how our human-first revenue organization interacts with their agentic teammates. About the Role We’re looking for backend software engineers with a product mindset to join the GTM Innovation team. You’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: Build high-impact applications and tools that accelerate OpenAI’s go-to-market efforts Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them Apply OpenAI’s models in novel ways to solve real-world customer and internal workflow problems Translate learnings into feedback for Applied and Research teams to inform product development You’ll thrive in this role if you: Have 4+ years of experience as a software/ML/product engineer working on user-facing systems Former founder, or early engineer at a startup who built a product from scratch is a plus Are fluent in Python or JavaScript and comfortable building full-stack applications Have built or prototy

About the Team: GTM Innovation is a product engineering team with a charter to automate 100% of digital knowledge work in OpenAI's GTM, so sellers spend more time directly with customers. AGI-level reasoning doesn’t mean organization-level transformation “just works” out of the box; orgs must be redesigned around abundant intelligence and persistent virtual coworkers. Our team builds and scales a fleet of virtual coworkers that operate as full-time members of the account team, and redefines how our human-first revenue organization interacts with their agentic teammates. About the Role We’re looking for product mindset software engineers to join the GTM Innovation team. As a product engineer on this team, you’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: Build high-impact applications and tools that accelerate OpenAI’s go-to-market efforts Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them Apply OpenAI’s models in novel ways to solve real-world customer and internal workflow problems Translate learnings into feedback for Applied and Research teams to inform product development You’ll thrive in this role if you: Have 4+ years of experience as a software/ML/product engineer working on user-facing systems Former founder, or early engineer at a startup who built a product from scratch is a plus Are fluent in Python or JavaScript and comfortable building full-stack applications

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to late-stage startups. About the Role We are seeking a technically proficient, business-minded Applied AI Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Applied AI Lead. This role is based in our San Francisco or New York offices. 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 will: Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. Provide proactive guidance to maximize business impact and accelerate application development. Experiment and prototype alongside customers, demonstrating practical use cases. Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. Synthesize and deliver valuable feedback to the Product and Research

About the Team: GTM Innovation is a product engineering team with a charter to automate 100% of digital knowledge work in OpenAI's GTM, so sellers spend more time directly with customers. AGI-level reasoning doesn’t mean organization-level transformation “just works” out of the box; orgs must be redesigned around abundant intelligence and persistent virtual coworkers. Our team builds and scales a fleet of virtual coworkers that operate as full-time members of the account team, and redefines how our human-first revenue organization interacts with their agentic teammates. About the Role We’re looking for Full Stack software engineers with a product mindset to join the GTM Innovation team. As a product engineer on this team, you’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: Build high-impact applications and tools that accelerate OpenAI’s go-to-market efforts Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them Apply OpenAI’s models in novel ways to solve real-world customer and internal workflow problems Translate learnings into feedback for Applied and Research teams to inform product development You’ll thrive in this role if you: Have 4+ years of experience as a software/ML/product engineer working on user-facing systems Former founder, or early engineer at a startup who built a product from scratch is a plus Are fluent in Python or JavaScript and comfortable building full-s