Staff Regulatory Affairs Specialist in United States

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 are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state-of-the-art systems that power our global marketplace. What you’ll do: Lead the technical direction and development of state-of-the-art applied ML projects for ads conversion. Design and build large-scale DNN models to improve user action prediction with low latency. Mine text, visual, and user signals to better understand intention and infer interests from online activity. Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality. Automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle. Coach and mentor engineers whi

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. NOTE: This role is hybrid and will require the candidate to be based in San Francisco Bay area. The successful candidate will be expected to work from the San Francisco office at least 2-3 days per week. The Community You Will Join: Research has been part of Airbnb from the beginning, ever since Paul Graham told the Airbnb founders, "go to your users." As designers, the founders embraced this advice and got on a plane to meet with Airbnb hosts that very weekend. Since those early days, the value of research has been baked into Airbnb’s product culture. With over 5 million hosts and 2 billion global arrivals, payments are crucial to the experience. Every time a guest books or a host gets paid across 190 countries, they rely on a seamless system. When it works, it drives loyalty; when it fails, it costs bookings—making research in this space critical to our business and our mission of belonging. The Difference You Will Make: As a Staff UX Researcher on Payments, you will be the voice of this community. In this mixed-methods role, you will combine behavioral insights with quantitative data to navigate ambiguity and global complexity. By uncovering user-centered insights and leading cross-functional workshops, you will drive actionable product innovation and build confidence into every transaction—from a first-time guest in São Paulo to a Superhost in Seoul. A Typical Day: Own end-to-end guest payments research, effectively prioritize research across multiple workstreams, plan and execute both foundational and evaluative research that shapes strategy and sharpens payments product experiences. Bala

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. NOTE: This position is US - Remote Eligible, but includes monthly in-person working sessions at the San Francisco Airbnb office. The Community You Will Join: Research has been part of Airbnb from the beginning, ever since Paul Graham told the Airbnb founders, "go to your users." As designers, the founders embraced this advice and got on a plane to meet with Airbnb hosts that very weekend. Since those early days, the value of research has been baked into Airbnb’s product culture. The Difference You Will Make: We're building our newest incubation work stream, and we're looking for a Staff UX Researcher who is equally strong in qualitative and quantitative methods. You'll be one of the first researchers on the ground for a 0-to-1 effort, which means the questions aren't defined yet, the roadmap will change, and your research will shape both. You'll know when to run fast to unblock a decision and when to go deep to get it right, while bringing senior stakeholders along the way. A Typical Day: Own end-to-end research for new incubation areas, from framing the questions to landing the recommendations. Utilize appropriate qualitative and quantitative methods to deliver fast, actionable insights. Triangulate across data sources and past learnings to get to the right signals in an ambiguous, fast-moving space. Balance speed and rigor: deliver quick reads when the team needs to move, and deeper studies when a decision warrants it, without sacrificing quality. Partner closely with cross-functional teams including Product, Design, Business Operations, and Data Science to shape strategy from research insights. C

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: At Airbnb, we're driven by our mission to create a world where anyone can belong anywhere. The Community Support (CS) Platform & Engineering team is at the forefront of this mission - building the AI systems that power world-class support experiences for millions of guests and hosts globally. We are building to a bold vision, where our AI doesn't just answer questions, but truly understands each person's unique context, mirrors the judgment and empathy of our highest-performing human agents, and delivers 10-Star support at scale. The AI Personalization team is the intelligence layer that makes this possible. We own the full-stack systems that enable the AI to give every guest and host a response that feels written just for them. The Difference You Will Make: We are looking for a visionary Staff Platform Manager to lead the product strategy and execution for AI Personalization across Airbnb's customer support ecosystem. This is one of the most consequential roles in CS Platform Product: you will own the full stack of personalization, from the underlying retrieval systems to the consumer-facing AI experience, and scale it across multiple Airbnb surfaces. The north star: enable AIA to emulate the judgment, empathy, and accuracy of Airbnb's highest-performing human agents. To achieve this, you'll build a platform that continuously enriches the AI's understanding of each user, and surfaces that understanding at the right moment, in the right form, across every channel. This role demands a rare combination: customer experience chops to build meaningful and delightful perso

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb’s mission is to create a world where people can Belong Anywhere. As we work to achieve that mission, we’re building world-class learning experiences for our technical teams. We’re looking for an exceptional and creative individual inspired to deliver innovative learning experiences that have tremendous organizational impact. The Difference You Will Make: The Staff Program Manager, Technical Education will play a key role in executing various technical learning programs including our Engineering Education programs that currently focus on AI Education, and other engineering and data education programming. Our focus is on impact and experimentation, creating world-class programs that enable technical excellence. We’re employing best practices from learning science and using measurement to iterate on learning experiences. The ideal candidate is confident in their ability to develop scalable learning experiences that drive overall growth and development for our technical audience. We are looking for someone who has the ability to synthesize a range of concepts into unified experiences, stay up to date in a rapidly shifting technical ecosystem, establish systems and processes, and deliver top notch program management. A Typical Day: Collaborate on and develop program strategy for various technical programs, including AI Enablement, AI Education, Machine Learning Education, Data Education, Engineering Education with internal SMEs and other Technical Learning & Development team members Design, create content, and project manage in-person and virtual technical learning

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Passport & Commerce builds the trusted account and commerce foundation that lets anyone, anywhere, become part of the Airbnb community — from their first sign-up, through the profile and connections they build, to every booking and business transaction along the way. We're a newly formed org within Guest & Host that brings together identity, account, and commerce foundations under one roof. Our mission is to move Airbnb beyond the transaction — building a world where accounts create trust, value sticks, and what our community earns travels with them, and their businesses, wherever they go. You'll work closely with Payments and Wallet engineering, Identity & Privacy, Profile & Community, and Guest & Host product, design, and data science partners as we stand up this team's roadmap and technical foundations. The Difference You Will Make: As a Staff Software Engineer on the Passport team, you will be a key architect behind the next generation of our account platform, directly influencing how millions of guests and hosts experience Airbnb. You'll set technical direction for how account state, eligibility, and entitlements are computed, stored, and served at scale across every surface where a guest or host interacts with Airbnb. Success in this role looks like a Passport platform that is reliable and extensible enough to support new programs and partner integrations without re-architecture — measured through service reliability (uptime, latency, correctness of entitlement calculations), the speed at which new offerings can launch, and adoption of your platform by othe

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Guest Engagement AA sits within Marketing Analytics and serves as the analytical backbone for Airbnb's lifecycle marketing programs — the email, push, and in-app communications that reach hundreds of millions of guests across their entire journey. You'll partner closely with Guest Engagement Marketing, MarTech Data Science, and Strategic Finance to drive measurable booking impact through experimentation and insights. The Difference You Will Make You will be the clear analytics owner of Airbnb's guest lifecycle marketing domain — covering abandon journeys, demand generation, onboarding, upsell, and more. This role is expected to drive significant incremental bookings in 2026 by setting the analytics strategy, designing rigorous experiments, and surfacing proactive insights across 30+ active programs. A Typical Day Own the analytics roadmap for Guest Engagement — define what to measure, what to test, and where the biggest opportunities lie across the full guest lifecycle. Specific projects and prioritization decisions should exist because of your recommendations. Design and analyze experiments at scale across abandon journeys, demand gen ML model rollouts, and placement-level A/B tests. Develop measurement frameworks (holdouts, proxy metrics, annualized impact models) to accurately attribute cumulative program impact. Surface proactive insights that go beyond reporting — user segmentation, funnel analysis, fatigue signals, channel optimization — and translate them into strategic recommendations for Director-level marketing leaders. Build scalable, self-serve reporting (

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory. The Difference You Will Make: Airbnb is seeking a Staff, Advanced Analytics, to support our Guest App team. This individual will act as a senior thought partner, supporting strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving product decisions for the Guest App, especially for strategically important Promotional Merchandising initiatives, to optimize for the company's objectives and ensure optimal experiences for guests. A Typical Day: Be the Advanced Analytics owner and expert on domain datasets. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making. Collaborate closely with Product, Engineering, Finance, Marketing, Operations, Data Science, Advanced Analytics, Data and Analytical Engineering, and other cross-functional teams to provide actionable insights. Design, execute, and analyze experime

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Airfam Products team empowers every Airbnb employee to access company information with ease, feel more connected to their colleagues, and experience a culture of belonging. We are the team behind Airbnb's internal digital headquarters — building the products that serve as the front door to company knowledge, community, and productivity for Airbnb's entire global workforce. The Difference You Will Make As the Product Manager for Airfam Products, you will own the strategic direction of Airbnb's employee-facing digital experience layer — a portfolio that touches every single employee every single day. You will set the product vision across One Airbnb, Chrome Tab, and Awedience, driving outcomes at the intersection of employee experience, AI-powered productivity, and organizational knowledge. This is a high-visibility, high-impact role. You will operate as the primary product voice for a domain that spans intranet, browser productivity, and internal events — partnering with EX, BizTech leadership, and platform teams to make deliberate, defensible decisions about what the team builds, when, and why. A Typical Day Define and maintain the product vision, strategy, and multi-horizon roadmap across One Airbnb, Chrome Tab, and Awedience Lead prioritization across a broad inbound request landscape, making clear, well-reasoned calls on what to build and what to decline Collaborate with engineering, design, and data science to ship high-quality features that improve employee productivity and connection Build alignment across cross-functional stakeholders including EX, Ground Control, Content

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Our web and API surfaces handle requests from guests and hosts alongside a growing volume of automated agents: AI assistants, crawlers, and scrapers. We build the systems that bring clarity to this traffic, combining in-house ML and vendor signals to decide in real time how to serve billions of daily requests. Anti-bot and anti-scraping detection is our most adversarial mandate, but the wider challenge is full traffic classification: building evaluation frameworks that tell legitimate automation apart from abusive actors, so high-stakes decisions hold up across the fleet. The Difference You Will Make: You will architect and maintain Airbnb’s end-to-end traffic classification ML systems, balancing high-performance model deployment with rigorous offline data pipelines. Success is measured by your ability to harden edge-traffic policies—targeting reduced bot-incident MTTM—and by establishing rigorous evaluation practices that ensure foundational signal accuracy and evasion-resistance across the fleet. A Typical Day: Own the complete lifecycle of traffic-scoring models, from problem framing to real-time deployment, managing the adversarial feedback loop to ensure high evasion-resistance and directly drive reductions in bot-incident MTTM. Architect robust offline-to-online pipelines that produce certified source-of-truth datasets, establishing rigorous evaluation frameworks—such as stratified benchmarks and leakage-prevention checks—to ensure every model improvement is empirically measurable and defensible. Execute model optimization within strict millisecond latency budgets at the

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We are looking for an expert leader to join our community as the Staff Payments Advanced Analytics. In this capacity, you will be a vital driver in executing the strategic vision for Airbnb's global Payments operations. As a key data thought partner, you will streamline integrated, data-informed decision-making across the Payments Platform, Product, and Operations teams. Our organization is dedicated to achieving operational excellence and enhancing the Guest and Host experience through a rigorous culture of problem-solving fueled by data and research. You will embed quantitative measurement into our user journeys and product processes, establishing objective indicators for success. Collaborating with a cross-functional team of engineers and finance partners, you will oversee the technical details of fund processing, including collection, reconciliation, and settlement systems. Your expertise in building relationships and framing narratives will be essential as you influence stakeholders at every level to drive global process improvements and optimize our payments data landscape. The Difference You Will Make: Act as a vital data thought partner to leadership, delivering actionable insights and recommendations that empower integrated, data-informed decision-making across the organization. Champion day-to-day analytics while architecting scalable reporting platforms to enhance the efficacy of our payments ecosystem. Pinpoint frictions in the user journey to optimize experiences for our global Guest, Host, and agent communities through rigorous problem-solving. Solve complex domain cha

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. Long-Term Stay & Luxe is being built with 0-to-1 intensity inside a marketplace that already moves at massive scale, and this team needs people who can operate like founders while still respecting the rigor of a mature, two-sided marketplace. The Difference You Will Make: Airbnb is seeking a Staff, Advanced Analytics to be the analytics owner and strategic partner for Long-Term Stay & Luxe — setting the agenda for what gets measured and tested, building the quantitative models that underpin how the business grows, and operating as a peer to product and business leadership. A Typical Day: Own the end-to-end analytics strategy and roadmap for Long-Term Stay & Luxe — decide what to measure, what to test, and where the biggest leverage is. Prioritization decisions should exist because of your recommendations. Build and evolve the quantitative models that run the business: supply-demand balance, marketplace liquidity, pricing and take-rate models, and LTV/forecasting — going beyond dashboards to build the underlying data models and pipelines. Design and analyze experiments across pricing, search and ranking, host onboarding, and guest conversion. Develop causal-inference approaches (holdouts, proxy metrics, quasi-experimental methods) for the many cases where a clean randomized trial isn't possible given lower volumes or longer booking cycles. Act as a proactive strategic partner to product, GM, and cross-functional leaders — surface insights and recomme

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 businesses running and unlocking growth across Stripe’s product suite. What you’ll do The rise of AI agents has fundamentally changed how users interact with Stripe, with a supermajority of conversations with Stripe now occurring via AI across various surfaces including third-party platforms. These conversations now blend planning, building, configuration, and troubleshooting. As a Product Manager for Support Experience, you will be responsible for building the platform that enables Stripe’s user-facing AI agent to solve problems across the Stripe product suite. You’ll develop rapid AI-powered feedback loops that enable product teams across Stripe to continuously improve the conversational experience of their users and build the infrastructure to enable powerful and flexible conversational experiences to run in diverse properties such as Stripe’s merchant dashboard, consumer apps, and experiences mediated by third-party agents. You’ll be at the forefront of applied AI, solving problems for businesses and consumers, and redefining what great can look like. Responsibilities Create the home for product teams to safely build out, understand and improve their conversational experiences. Build feedback loops from conversations through improvement recommendations to generating ev

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 Risk Data Science team builds the data foundations, models, and measurement frameworks that power Stripe's risk and product decisions — from underwriting and reserves to merchant interventions and enablements. We're at an inflection point: as Stripe increasingly offers risk capabilities as a product to platforms and users, we need a data leader to shape how we build, measure, and evolve our risk data strategy across the What you’ll do We are looking for an experienced data analyst to drive the data strategy for our risk as a product offering. Define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale. Partner with Product, Engineering, and Risk leadership to ensure data investments align with the product roadmap. You will design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning. You will own the definition, reliability, and visibility of our most important risk metrics. Establish a canonical set of north star and operational metrics and ensure they are trustworthy, well-documented, and consistently surfaced to the right audiences. Build and maintain the infrastructure that keeps these metrics accurate as our data and product landscape evolves, including clear ownership, alerting on regressions, and scalable pipelines that reduce the cost of keeping insights current. You will also own and evolve Str

As a Staff Application Security Engineer at Datadog, you'll set technical direction for how we approach application security at scale. You'll define the frameworks, methodologies, and architectural patterns that engineering teams across Datadog adopt and apply independently. You're the person others come to when they don't know how to make something secure, and you reliably have an answer. You'll be a point of contact for our most complex security programs, often spanning multiple teams and multiple quarters. The role requires both depth (going very deep on specific problems when needed) and breadth (recognizing patterns across systems and drawing connections that others miss). Partnering closely with teams inside and outside the security org is key to success. You'll help shape the AppSec roadmap and make the case for where investment should go. We use our own platform. Logs, Dashboards, Service Catalog, and APM aren't just things we sell: they're tools the AppSec team uses to build security services, measure adoption of secure defaults, and communicate risk across the organization. AI is also part of the picture. Engineering at Datadog increasingly uses agentic tooling throughout the development lifecycle, and many of the products we ship to customers now include AI-powered features. Both create new attack surfaces, and defining our strategy for addressing them is part of this role. If using Datadog to observe Datadog's own security posture, building impactful tooling, and shaping how we secure AI-powered systems sounds like the right kind of problem, this role is worth a close look. What You’ll Do: Define and drive security standards and secure-by-default solutions, serving as the Application Security subject matter expert. Build security tooling and automation that scales security practices across engineering teams, and implement robust security observability to support our threat detection team with meaningful, actionable security signals. Lead threat mod