Self Service Onboarding Fulfillment Specialist in United States

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads. What you will be doing: Design and execute comprehensive performance benchmarking strategies for our data center platforms and products Characterize real-world AI training, inference, and HPC workloads at scale Define, track, and report key performance indicators (throughput, latency, efficiency, scaling) Build automation tools and frameworks for performance monitoring and analysis Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems Work closely with architecture, hardware,

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform & node designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each bringing together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We’re searching for a highly motivated, technical leader to design, drive, and operationalize rack-scale factory and deployment flows for next-generation data center products. The ideal candidate will combine deep systems expertise, decisive technical leadership, and a passion for building reliable, debuggable, and scalable manufacturing and deployment solutions. What you’ll be doing: Lead and drive rack-scale/L11 flows for factory and initial data center deployment. Design and implement end-to-end factory workflows, including firmware flashing sequences, security provisioning, and deployment of software mitigations. Collaborate with data center architects, ODMs, and OEMs to define factory and data center requirements that ensure efficient and reliable production ramp. Champion reliability, debuggability an

TPMs at Datadog see the problems hiding between teams, engineer away the work that shouldn’t require humans, and drive the company’s most technically complex and consequential bets to completion. About the Role Technical Program Management at Datadog operates at the intersection of engineering depth and organizational reach by driving high priority, cross-functional programs that are too complex and consequential for any single team to own. We partner with engineering on solving deeply technical problems at scale by connecting the people, decisions, and context to move Datadog's most important work forward. We build the systems and automation that make entire classes of program work self-executing. We are in the architecture conversation early, earning trust through technical judgment. We use AI to surface risks earlier, accelerate program execution plans, and find cross-team patterns that would otherwise stay hidden. The faster teams move, the more essential it is to have someone who can operate across them. What we expect These are the expectations we hold for every TPM at Datadog. Technical depth, product domain expertise, and AI systems literacy; knowing how AI solutions work, where they fail, and the scope and impact of those failures. AI brings more complexity into the picture - the technical bar is higher, not lower. Build the systems that reduce the need for coordination Identify what matters before anyone asks, and automate the rest Engineer program lifecycles end-to-end See what no single team can see and own the solution Drive the company's most technically complex and consequential bets through cross-functional agreement, organizational visibility, and influence Build AI powered automation tools and deploy them at every stage of program execution What you will do See Across: Identify What No Single Team Can See Own large cross-functional programs spanning multiple engineering orgs, product, and business functions Proactively surface systemic risks, cross

TPMs at Datadog see the problems hiding between teams, engineer away the work that shouldn’t require humans, and drive the company’s most technically complex and consequential bets to completion. Technical Program Management at Datadog operates at the intersection of engineering depth and organizational reach by driving high priority, cross-functional programs that are too complex and consequential for any single team to own. We partner with engineering on solving deeply technical problems at scale by connecting the people, decisions, and context to move Datadog's most important work forward. We build the systems and automation that make entire classes of program work self-executing. We are in the architecture conversation early, earning trust through technical judgment. We use AI to surface risks earlier, accelerate program execution plans, and find cross-team patterns that would otherwise stay hidden. The faster teams move, the more essential it is to have someone who can operate across them. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What We Expect: These are the expectations we hold for every TPM at Datadog. Technical depth, product domain expertise, and AI systems literacy; knowing how AI solutions work, where they fail, and the scope and impact of those failures. AI brings more complexity into the picture - the technical bar is higher, not lower. Build the systems that reduce the need for coordination Identify what matters before anyone asks, and automate the rest Engineer program lifecycles end-to-end See what no single team can see and own the solution Drive the company's most technically complex and consequential bets through cross-functional agreement, organizational visibility, and influence Build AI powered automation tools and

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. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. Manage and improve data infrastructure needed to drive data-driven decision-making solutions. Help develop front end applications to expose analytical data sets enterprise wide Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: Have at least four years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. Deep knowledge of crafting dimensional and fact models in modern data fashion. Have a passion for enabling the developer experience of data, and being obsessed with giving

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 is hiring for a Head of Design (VP) to lead our design organization — setting direction for a ~40-person team, shaping the next generation of AI-native product experiences, and building the quality systems that let great design ship at scale. The Design team at Vanta shapes how security and compliance teams experience Vanta — from a startup founder building their security program for the first time to an enterprise security team managing hundreds of controls. The org spans all areas of Vanta — GRC, Trust, Platform, Self-serve, and AI — and includes product designers, visual designers, design engineering, content designers, and a user researcher, led by experienced design directors. As AI fundamentally changes what products can do and how they get built, this team is at an inflection point: the right leader will define what it means for a design org to be genuinely AI-forward — enabling designers to move faster, ship more, and contribute to product direction and delivery in new ways. This is the right role for a design leader who leads with AI fluency, brings strong taste and craft across interaction design and visual design, and has the operational instincts to build the systems that make quality a consistent property of the whole org. What you’ll do as Head of Design at Vanta: Lead a team of ~40 designers and design directors across GRC, Trust, Platform, Self-serve, and AI — setting org-wide direction and enabling each leader to do their best work Lead the team building the next generation of agentic, AI-native product experiences — defining what great design looks like as Vanta’s products are increasingly shaped by AI E

ABOUT THE TEAM At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team owns the experiences that turn a single-player tool into a multiplayer habit: the loops that bring people back, help them find their work, and pull their colleagues into a mural. Mural's self-serve growth runs through these experiences, and engagement and retention are central to how the business grows. YOUR MISSION As Senior Product Manager, Growth & Engagement, you will own the end-to-end self-serve experience, from a user's first touch through activation, return usage, and conversion to paid. You will treat the full funnel as one system: acquisition, activation, engagement, retention, sharing, and monetization. You will run a high-tempo experimentation practice, partner deeply across Product, Engineering, Design, Data, Marketing, and Sales, and make the calls that turn occasional users into teams that rely on Mural every week. This is a role for someone who wants to own real growth outcomes, not just ship features. You will own the surfaces that decide whether Mural's self-serve engine grows. Engagement and retention here move the business directly, and you will own the full loop across growth and engagement rather than a narrow slice of it. You’ll have a rare end-to-end view of the funnel, from acquisition through in-product engagement. You will work alongside thoughtful product, design, and engineering partners who care about craft and impact. WHAT YOU'LL DO Own product strategy, roadmap, and execution for the self-serve growth and engagement experience, from first touch through activation and return usage Build and optimize the invite, sharing, and join experience Drive activation and retention by improving the moments that bring people back: home and dashboard, notifications, search, rooms and folders, comments, and more Partner closely with Marketing to connect acquisition and re-engagement with in-product activation across

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Summary: You own the path from a new signup to a deeply engaged, paid workspace that runs on ClickUp and Brain². You build the self-serve onboarding and lifecycle systems (in-app and email) that meet users where they are, generate the right content at the right time based on their actual activity, and guide them into deeper product usage. You own conversion to paid: how paywalls appear and perform, when and how promos run, and what ultimately gets a workspace to upgrade. Your north star is driving users to realize the value of an AI-enabled ClickUp workspace. You think in systems, not campaigns. You use AI as your force multiplier to operate at a scale that would normally require a team. This is not an enterprise customer nurturing role. Responsibilities: Self-Serve Onboarding & Lifecycle: Own the end-to-end self-serve onboarding experience: in-app flows, lifecycle emails, and product surface messaging that take a new signup from first session to deeply engaged workspace. Build trigger-based systems that respond to user activity in real time. A user who just created their first list gets different guidance than one who just invited their team. Every touchpoint is personalized based on what the user has actually done and what would be most useful to them next. Use AI to generate contextual content for users at the right moment: workspace templates, suggested workflows, feature education, and use-case-specific guidance, all driven by what they're actually doing in ClickUp. Master the timing, placement, and frequency of in-app and email interventions. Run rapid experiments to learn what drives deeper

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 an AI-native product growth lead to own Replit's entire paid acquisition and lifecycle marketing engine as the single DRI. This is an IC role for someone who builds systems, not just campaigns. Someone who uses AI and automation aggressively to do what traditionally requires an entire team. You don't need an engineering background. You need the instinct to build: when you see a repetitive task, you reach for Replit or an API before you reach for a spreadsheet. You'll have data science and data engineering partners for infrastructure and modeling, and brand marketing will set creative direction. Your job is to turn that direction into a closed-loop optimization system: a self-improving system that turns performance data into better creative, optimizes spend across channels in near-real-time, and compounds every insight so nothing learned is ever lost. Each cycle, the system gets smarter. That's the engine you'll build and own. The ideal candidate has deep channel expertise across paid search, paid social, and lifecycle, but their real edge is building AI-powered workflows that scale creative production, automate measurement, and compound institutional knowledge. You Will Own full-funnel performance marketing across paid search & social, ASO, and lifecycle Build a self-improving creative engine: AI-driven ad generation, testing, and iteration that scales without scaling headcount Maintain a persistent knowledge layer so every experiment, result, and creative insight compounds automatically into the next cycle Own conversion signal quality end-to-end: right events, right audiences, right attribution, partnering with DE on the infrastructure Run a structured experimentation program wher

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 Difference You Will Make: Airbnb is entering a new era—reimagining how fraud, safety, and quality are measured, protected, and elevated across the digital landscape. Reporting to the Director of Advanced Analytics, Fraud & Safety, you will lead a dispersed team of ~8 advanced analysts tasked with turning safety measurement into governed, self-serve decision systems for Policy, Ops, Legal, Product, and Engineering. You will be a pivotal leader safeguarding Airbnb’s global community. You’ll steer a multidisciplinary team that designs, delivers, and scales state-of-the-art analytics for: Safety (physical & digital) Connected-account & circumvention detection Privacy protection & risk management This role isn’t just about reporting what happened; it’s about building the systems that help Airbnb see around corners. You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for continuous improvement. Your insights and systems will empower every stakeholder—from legal to operations, policy to product—to make bold, data-driven, and context-aware decisions in real time. A Typical Day: Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization. A core mandate is to co-own and drive the enterprise-wide “Safety Single Source of Truth” (SSoT) strategy —a unified, structured data asset and taxonomy that underpins decision-making across Product, Operations, Policy, and Legal. Ensure metrics are future-proof, privacy-compliant, and g

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 Legal team embodies the company’s innovative, forward-thinking spirit. At the frontier of the new sharing economy, Airbnb is breaking new ground in matters of policy, law, and government relations. Where some see obstacles, we see the opportunity to find creative, practical solutions, right at the cutting edge. Our adventurous, fast-moving legal team is committed to building a team of talented, collaborative and self-motivated legal professionals across the globe who believe in Airbnb’s mission and leading as a 21st century company. The Difference You Will Make: Airbnb is seeking a highly qualified, experienced commercial lawyer to join our Commercial & Technology team. The Senior Counsel, Commercial & Partnerships, will report to Airbnb’s Associate General Counsel, Commercial & Partnerships. This role will include negotiation and drafting, counseling on sophisticated and strategic commercial agreements, and building and maintaining client relationships. This job is for you if you work well with business people, have an upbeat and positive attitude, embrace adventure, and thrive in fast-paced, collaborative environments. Where some see obstacles, you see opportunities to find creative, practical solutions that advance Airbnb’s global mission. A Typical Day: Drive multiple high-value deals simultaneously - managing timelines and keeping complex negotiations on track from term sheet to close. Proactively identify, analyze, and resolve legal, regulatory, and strategic risks - providing practical, business-oriented advice across commerc

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 Growth Marketing is a team of performance-driven marketers and channel specialists. We partner closely with growth product, regional and demand marketing, and sales to drive revenue through self-serve and sales motions. We work globally, on the full customer lifecycle, and with all company segments - from startups to the largest enterprises. This role is focused on driving growth for Stripe Capital. Stripe Capital provides access to fast, flexible financing to businesses, with the mission of helping them accelerate their growth. Businesses use the funds for marketing, hiring, geographic expansion, working capital, new equipment purchases, and much more. Capital has scaled meaningfully over the last few years, both in terms of user impact (over 81,000 businesses received financing through Stripe Capital in 2025 alone) as well as financial impact as a business line within Stripe. Over 95% of our users say they love using Capital, making us one of the most popular products at Stripe—and we're just getting started. What you’ll do As a Lifecycle Marketing Manager, you will be a key driver of global marketing efforts supporting our self-serve user acquisition motions to drive demand and revenue growth for Capital — designing, implementing, and optimizing scaled, global lifecycle campaigns across user segments and life stages. You will help create uncommonly great email marketing campaigns and multi-channel experiences for Capital through a relentl

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a B2B Paid Marketing leader to own and scale global acquisition across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy across self-serve and sales-assisted journeys, develop programs for distinct business segments, and own measurable impact from demand creation through customer growth. You will partner closely with Sales, GTM, product marketing, lifecycle, product, engineering, data science, finance, design, and marketing operations to connect paid campaigns to the right buying journeys. This team thrives on rapid iteration, rigorous measurement, and close feedback loops that improve lead and account quality, conversion, pipeline, and long-term customer value. In this role, you will: Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for B2B audiences, including planning, forecasting, budget pacing, audience design, and performance management. Build and optimize programs across self-serve, product-led, and sales-assisted motions, adapting channel strategy to segment, use case, buyer, and funnel stage. Partner with Sales and GTM teams to align campaigns with revenue priorities, product launches, solution plays, account segments, and regional opportunities. Optimize full-funnel performance from demand capture and qualified leads through activation, pipeline, conversion, expansion, and long-term customer value. Develop B2B audience, offer, and messaging strategies for decision-mak

About the Team At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the Role We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You’ll also innovate on how we apply LLMs in these domains. In this role, you will: Own the full product development lifecycle for new people products end-to-end Talk to internal stakeholders to understand their problems and design solutions to address them Work with the research team to share relevant feedback and iterate on applying their latest models Collaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products Your background might look something like: 4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies Forme

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake product marketers develop and execute go-to-market strategies for the most strategic areas of the business. We are looking for a highly technical, driven, and self-motivated Product Marketing Engineer to lead competitive benchmarking for Snowflake’s Analytics portfolio. This role will own the end-to-end benchmarking process, from defining the testing strategy and designing the benchmarking architecture to executing workloads, validating results, and communicating the outcomes. You will partner closely with Product Management and Engineering to evaluate Snowflake products against competitive offerings using rigorous, repeatable, and defensible methodologies. You will translate technical benchmark results into meaningful customer outcomes and compelling market-facing narratives. Your work will appear across Snowflake blogs, partner publications, technical papers, presentations, demos, and videos. You will also closely monitor competitive products, technical claims, and published benchmarks, helping Snowflake respond quickly, credibly, and strategically. The role will support Snowflake’s broader Analytics portfolio, including Interactive Analytics for real-time use cases, Business Intelligence, Semantic Views, Ontologies, context for AI-powered applications, and core