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. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n
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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. The People Development team is building the infrastructure for how Lyft grows, develops, and equips its people. As Technical Learning Manager, you will own the strategy and execution of technical learning programs for Lyft's Engineering, Science, Product, and Design organizations — one of our highest-leverage investments in people. This role sits at the intersection of learning design, program management, and functional excellence across the technology organizations. You will inherit an established portfolio of programs for software engineers — including Tech Learning, compliance training, and documentation initiatives — and will be responsible for running, evolving, and expanding them across all of Lyft’s tech orgs. You will report to the Head of People Development and work closely with Functional excellence leadership, HRBPs, and cross-functional partners to ensure our technical learning programs are high-quality, well-adopted, and tied to real business outcomes. Responsibilities: Program Ownership Own the strategy and execution of Lyft's technical learning portfolio, including engineering continuing education programs, documentation improvement initiatives and compliance training Manage mid-cycle programs with active stakeholder relationships and scheduled commitments — ensuring continuity, quality, and follow-through Provide editorial oversight for Lyft's internal technical content initiatives, including the Tech Blog — managing workflow, stakeholder relationships, and publication processes in partnership with engineering contributors Assess the current program portfolio and make recommendations grounded in engineer needs and business priorities Provide engaging learning experiences that empower technologists to do their best work at Lyft Embed AI upskilling in all programs including
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 over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. Building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives requires robust, scalable software systems operating at massive scale. Our highly motivated Software Engineers work on these challenging problems and build the systems that directly impact various aspects of our core business. If you are a critical thinker with experience building software systems, passionate about solving business problems through well-crafted code and working in a dynamic, creative, and collaborative environment, we are searching for you. As an associate software engineer, you will be designing, building, and launching the services that power the platform's core products. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, distributed systems, backend services, mapping, personalization, and real-time infrastructure. We are hiring motivated engineers across each of these areas. We're looking for someone who is passionate about solving problems with code, building reliable and maintainable systems, and is excited about working in a fast-paced, innovative, and collegial environment. You will report to a Software Engineering Manager. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to build software for business and user impact Perform technical analysis and build proof-of-concept prototypes to explore and propose solutions to both new and existing problems Design and develop software components, services, and APIs Write production quality code to launc
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 Airbnb Hotels is a fast-growing business which will see you leading Airbnb’s expansion into the hotel sector in the region. Operating with an entrepreneurial spirit within the Japan team, this team combines the simplicity, product excellence, and guest-centered ethos that define Airbnb. This team’s mission is to grow and expand our the smoothest, most intuitive hotel booking experience for guests; while providing hotels an opportunity to drive high-quality incremental bookings so they can focus on delivering the best hospitality. The ultimate aim is to help more people discover high-quality hotels, creating value for guests and our hotel partners. The Difference You Will Make: As a Market Manager, your role will entail ensuring the health and expansion of our supply in Japan. This will involve managing Hotels and acquiring high-quality inventory. Your focus will be to enhance Airbnb's market presence in your designated region through collaboration with other teams, leveraging your expertise on the local market. With a deep understanding of Airbnb's mission and values, you will oversee all aspects of supply acquisition and market success. This includes developing acquisition strategies, generating and converting Hotel leads, and managing relationships with strategic partners, including the creation of new partnerships. You will also be tasked with developing and refining scalable, localized supply management strategies for both established, competitive markets and emerging, untapped markets, aiming to secure our long-term success in these regions. A Typi
Role Description Dropbox’s Design team is looking for a Director of Product Design to define the next generation of product experiences and infrastructure for Dropbox. In this role, you will lead the vision, strategy, and execution for the systems, patterns, and operating model that shape how Dropbox builds coherent, high quality, multi product experiences at scale. We are building a modern system that can support a broader portfolio of products, accelerate product teams to achieve product market fit, improve front end quality, and create durable patterns for the most important product experiences across Dropbox. You will lead the team responsible for turning repeated product needs into reusable experience infrastructure: interaction patterns, product frameworks, design primitives, implementation standards, and adoption models that make it easier for teams to build excellent Dropbox experiences. As Director, you will oversee the evolution of Dropbox’s design system into a next generation design and technology platform. This includes the foundational system of components, tokens, accessibility standards, and documentation, but also the broader lifecycle of product patterns: how they are identified, designed, validated, built, adopted, measured, improved, and eventually deprecated. You will help move the team from a reactive model, where design systems patternize work after the fact, to a more proactive model, where the team helps shape core product experiences from the beginning. You will also establish Design Systems and Design Technology as a center of excellence for front end product quality. This team should not only define what good looks like, but help build it. That means partnering deeply with product designers, engineers, product managers, researchers, brand, and leadership to create high leverage patterns that improve product coherence, accelerate execution, and raise the quality bar across web, mobile, desktop, and emerging AI native experiences. The ideal
Role Description Dropbox’s Design team is looking for a Director of Product Design to define the next generation of product experiences and infrastructure for Dropbox. In this role, you will lead the vision, strategy, and execution for the systems, patterns, and operating model that shape how Dropbox builds coherent, high quality, multi product experiences at scale. We are building a modern system that can support a broader portfolio of products, accelerate product teams to achieve product market fit, improve front end quality, and create durable patterns for the most important product experiences across Dropbox. You will lead the team responsible for turning repeated product needs into reusable experience infrastructure: interaction patterns, product frameworks, design primitives, implementation standards, and adoption models that make it easier for teams to build excellent Dropbox experiences. As Director, you will oversee the evolution of Dropbox’s design system into a next generation design and technology platform. This includes the foundational system of components, tokens, accessibility standards, and documentation, but also the broader lifecycle of product patterns: how they are identified, designed, validated, built, adopted, measured, improved, and eventually deprecated. You will help move the team from a reactive model, where design systems patternize work after the fact, to a more proactive model, where the team helps shape core product experiences from the beginning. You will also establish Design Systems and Design Technology as a center of excellence for front end product quality. This team should not only define what good looks like, but help build it. That means partnering deeply with product designers, engineers, product managers, researchers, brand, and leadership to create high leverage patterns that improve product coherence, accelerate execution, and raise the quality bar across web, mobile, desktop, and emerging AI native experiences. The ideal
Role Description Dropbox is looking for a Director of Media to own our total media investment—performance and brand—under a single leader. This leader will build a unified media strategy that brings performance marketing and brand investments together into one investment thesis and one operating model. They will own the media portfolio end-to-end, from upper-funnel brand campaigns through paid search, paid social, programmatic, mobile, and emerging channels, making investment tradeoffs as business priorities evolve. The role also owns how the media organization operates, balancing in-house expertise, agency partnerships, and specialist support to maximize speed, quality, and impact. The ideal candidate has worked on both sides of the industry—building media expertise at an agency before leading media inside a technology or high-growth company. They understand what great agency partnerships look like while also knowing how to build world-class internal capabilities. This role sits at the center of Dropbox's growth strategy, connecting brand, performance marketing, Product Growth, Sales, and Marketing Data Science to drive measurable business outcomes. Responsibilities Unified Media Strategy. Build and own Dropbox's media strategy across brand and performance. Set the annual and quarterly investment thesis, define the channel portfolio, and make the tradeoff decisions on where spend moves and why. Total Budget Ownership. Manage Dropbox's full media investment across paid search, paid social, programmatic, display, video, mobile, affiliate, and brand channels. Own planning, forecasting, pacing, and in-quarter reallocation against efficiency and growth targets. Brand and Performance Integration. Align reach, frequency, creative strategy, and channel mix so brand and performance investment reinforce each other rather than compete. Partner closely with the Brand organization, which owns brand positioning and creative direction, to translate brand strategy into
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 Global Alliances and Channels team owns the Go-To-Market (GTM) partnerships for Stripe including management consultants, payment advisors, systems integrators and technology partners. We drive the development of the partnerships including enablement and solution design along with the go-to-market strategy where we work with partners to source new opportunities for Stripe and ensure they are delivered and activated with world class quality. Additionally, we work to ensure our partners develop large, fast growing, profitable businesses on Stripe inclusive of payments, billing, fraud, stablecoins and agentic offerings. What you’ll do As the lead for Stripe relationship with Strategic payment advisors you will drive Stripe’s engagement with payment advisors who most critically influence opportunities relevant to Stripe. Payment advisors firms help large and medium businesses with all their needs related to payment, including monetizing payments through marketplaces and platforms, RFP execution, GTM, Cost optimization, new revenue modes and GTM strategies. Often an enterprises’ financial infrastructure is the cornerstone of these transformations and legacy players are being challenged on their innovation ability in a crowded and rapidly evolving space. Therefore, Stripe needs to continuously engage, educate and support this broad base of influencers to ensure they clearly understand the value and capabilities that Stripe bri
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 Web Presence & Platform (WPP) is organized into two pillars—Platform and Presence. The Platform pillar builds internal systems, tooling, and infrastructure to support the web. The Presence pillar owns the public-facing storytelling across stripe.com and link.com—including our homepage, product landing pages, industry and solutions pages, and other high-impact go-to-market surfaces. Together, we shape how millions of people understand what Stripe is and what it can do for them. Designers on the Presence team work at the intersection of craft and impact—balancing clarity, polish, and systems thinking with strategic storytelling and experimentation. We collaborate closely with engineering, marketing, content, and product to deliver work that is not only beautiful, but measurably moves the business. What you'll do As a Designer on the Presence team, you'll own design across two distinct and high-visibility surface areas—Link (the Stripe one-click checkout experience and link.com) and Bridge (bridge.xyz—the Stripe stablecoin financial infrastructure, operating as its own standalone web property). These are some of the most strategically varied and creatively demanding surfaces in our portfolio—each with its own audience, brand voice, and design challenge. You'll operate with a high degree of autonomy—driving work from brief to launch, navigating ambiguity with confidence, and setting the quality bar for your focus areas. You'll shape the desi
About the Team At OpenAI, the User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving company priorities. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are looking for a senior program manager to build the safety, quality, and risk operations supporting a new category of consumer devices. You will translate ambiguous product risks and evolving requirements into practical operating models, workflows, escalation paths, launch-readiness plans, and cross-functional decision-making. This is a foundational role: the systems you build will shape how OpenAI launches, monitors, and improves a new category of consumer devices safely at scale. You will help establish how potential safety incidents, product-quality concerns, sensitive customer escalations, privacy-sensitive issues, and other emerging device risks are identified, investigated, resolved, and incorporated into product and operational improvements. You will turn incomplete requirements into practical workflows, decision rights, launch plans, quality controls, measurement, and durable ownership. The role centers on program building, operational judgment, and execution. We welcome candidates from product safety, quality assurance, regulatory operations, technical program management, healthcare, medical devices, aerospace, consumer technology, and other environments involving complex products or regulated risks. Direct consumer-hardware experience is helpful but not required. The strongest candidates learn unfam
About the Role In this role, you’ll lead and evolve the design system foundations for ChatGPT. You’ll make nuanced design judgment explicit and usable across product teams, establishing the principles, patterns, and standards that enable coherent, high-quality experiences at scale. A paramount part of this role is raising OpenAI’s craft bar. This work extends beyond maintaining a component library: you’ll define what excellent product design looks and feels like, establish clear guidance for choosing and applying interface patterns, and ensure that new ChatGPT experiences strengthen a coherent system across platforms. Working closely with research, engineering, product, and design, you’ll create a continuous learning loop between design principles, product experiences, evaluation, and evolving technology—shaping a system that becomes more capable and expressive as ChatGPT grows. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role you will: Define an exceptionally high standard for craft and taste, translating that standard into principles, guidance, and examples that elevate the quality of ChatGPT. Own and evolve ChatGPT’s design foundations, including typography, sizing, spacing, layout, motion, accessibility, and responsive behavior. Establish a shared source of truth across platforms and improve the systems connecting tokens, components, patterns, widgets, learning experiences, and app-like product experiences. Build a comprehensive design systems framework with clear, opinionated guidance about when and how product teams should use different interface patterns. Translate design judgment into durable standards and use prototyping and evaluation workflows to test experiences, identify recurring issues, and improve the system. Identify promising patterns across emerging product experiences and turn them into reusable, documented foundations. Partner with research, engineering, product, and design to evolve the d
About the Role The Mechanical Commissioning Project Engineer owns mechanical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures mechanical systems are installed, inspected, started, balanced, controlled, and tested in a way that supports reliable integrated facility performance. Reports to the Commissioning Project Lead and partners closely with mechanical contractors, equipment vendors, design/engineering teams, the electrical commissioning lead, controls stakeholders, and vendor field/test engineers. Key Responsibilities Develop and maintain the mechanical commissioning scope, readiness criteria, inspection strategy, and discipline test execution plan. Review mechanical design packages, specifications, submittals, method statements, controls narratives, sequence assumptions, and testing requirements for commissionability and risk. Coordinate mechanical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. Own mechanical commissioning procedure development and review, including equipment startup, functional testing, controls verification, balancing prerequisites, failure mode validation, and integrated systems testing inputs. Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. Support readiness and execution for cooling, ventilation, hydronic, pumping, heat rejection, controls, and other project-specific mechanical systems. Lead discipline-level review of mechanical test results, deficiencies, corrective actions, retest requirements, trend logs, and acceptance evidence. Maintain mechanical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and issue aging. Partner with the E
About the Team GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. We apply OpenAI models to real business workflows and build the systems that make those applications useful and dependable: customer context, agent behavior, feedback, evaluation, experimentation, and appropriate human oversight. Our work brings together software engineering, applied AI, product, data, and GTM operations. We measure success through the quality of customer engagement, pipeline, conversion, and the effectiveness of our sales and marketing teams. About the Role We're looking for an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs. This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure modes, improve how the system decides or acts, and validate the resulting impact. You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into safer, more effective agent behavior and measurable improvements in customer engagement, conversion, qualified pipeline, and team productivity. In this role, you will: Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes. Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context. Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows. Investigate why a
About the Role The Electrical Commissioning Lead owns electrical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures electrical systems are inspectable, testable, safe to energize, and ready for coordinated functional and integrated systems testing. Reports to the Commissioning Project Lead and partners closely with electrical contractors, equipment vendors, design/engineering teams, the mechanical commissioning lead, controls stakeholders, and vendor field/test engineers. Key Responsibilities Develop and maintain the electrical commissioning scope, readiness criteria, inspection strategy, and test execution plan. Review electrical design packages, specifications, submittals, method statements, sequence assumptions, and testing requirements for commissionability and risk. Coordinate electrical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. Own electrical commissioning procedure development and review, including startup, energization readiness, functional testing, failure mode validation, controls interfaces, and integrated systems testing inputs. Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. Support energization planning, switching and safety coordination, access sequencing, temporary conditions, witness points, and hold points. Lead discipline-level review of electrical test results, deficiencies, corrective actions, retest requirements, and acceptance evidence. Maintain electrical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and issue aging. Partner with the Mechanical Commissioning Lead on cross-discipline dependencies, including controls, life safety int
About the Team The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately conduct high-quality research at OpenAI. We work to automate real research workflows and improve research productivity by building systems and feedback loops, designing evaluations, and training models to develop missing capabilities. Our work spans the full lifecycle of model training, evaluation, and deployment to help researchers move faster and tackle increasingly ambitious problems. About the Role We’re hiring research scientists , research engineers , and AI systems engineers to work on automating research at OpenAI. This role is based in San Francisco, CA. In this role, you will: Design evaluations for research judgment, hypothesis generation and testing, and long-horizon experiment execution. Turn real research workflows and model failures into data and evaluation flywheels. Improve model research capabilities through agent harnesses, synthetic data, RL environments, and model training. Build and maintain safe, reliable integrations between our models and OpenAI’s research infrastructure. Develop research agents, experiment-orchestration systems, and sandboxed runtimes that support real research workflows. Create metrics and economic models to understand RSI’s current and future effects on research productivity, model capabilities, and the safety of internal deployments. This is a high-ownership role for researchers and engineers who thrive in ambiguity, move fluidly between research and implementation, and turn emerging opportunities into rigorous, reliable, scalable results. You might thrive in this role if you: Have research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems. Are a strong generalist who can move between open-ended research and practical implementation, turning ambig
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