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Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Description As the Community Content Strategist you will build and execute the content strategy that elevates our Okta and Auth0 customer communities into an authoritative destination for identity and security experts. Working closely with the Customer Content, Social Care & Advocacy, and Community Engineer teams, you will turn real-world community expertise and discussions into high-quality content that drives engagement, supports generative search discoverability, and surfaces GTM intelligence across the business. Job Duties and Responsibilities Own content strategy and programming: Identify, cultivate, and publish expert-driven content that elevates community voices and builds trust across the Okta and Auth0 communities. Design and run the content programs (e.g. technical deep-dive series, AMAs and member features) that drive meaningful engagement, establish the community as an authoritative destination, and position our most knowledgeable members and internal experts as credible voices in the identity and security space. Identify and cultivate Community Champions : Ensure C

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Privacy Engineering team’s mission is to protect the trust of our customers by embedding privacy into every layer of Robinhood’s technology and culture. We collaborate across Engineering, Product, Legal, and Compliance to make sure privacy, data governance, and security are integral to every initiative. As a Privacy Engineer, you’ll lead privacy reviews, guide the design of privacy-enhancing technologies, and help scale our privacy-by-design programs — while also championing the use of AI and agentic tooling to transform how the team runs privacy operations and processes. This role is based in our New York, NY office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Conduct detailed privacy architecture reviews to identify potential risks, recommend controls, and ensure privacy-by-design is built into every technical layer Partner with Engineering, Product, Legal, and Compliance to implement privacy-by-d

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Staff Software Engineer on the Platform Payments team, you'll define the engineering vision for how fiat moves into and out of Coinbase across 50+ countries and payment rails. This team builds and operates the fiat on- and off-ramps, routing, orchestration, and funds-flow services that power every customer-facing payment experience. You'll own the multi-quarter technical strategy, architect for global scale and reliability, and drive platform-level improvements that directly impact payment success rates, latency, and cost efficiency. What you'll do: Define and drive the multi-quarter technical strategy for Payments spanning rails, orchestration, and transfers to support new products, geos, and significant growth in payment volume. Architect and evolve the core Payments platform (rails integrations, routing, and funds-flow services) for high availability, low latency, and cost efficiency at global scale. Lead end-to-end design and rollout of large, cross-team initiatives (e.g., new global rails, decomp/migrations, resiliency programs), breaking ambiguity into clear milestones and measurable outcomes. Set and enforce technical standards for financial correctness across Payments, including idempotency, reconciliation, failure-mode handling, and auditability for all money-movement paths. Partner with FinHub, Payments Risk, Regulatory Platform, and Produc

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Payments Platform is at the front door of Coinbase’s financial ecosystem. Our mission is to move old money into crypto and power financial access and payments for the crypto economy globally. As the bridge between the traditional financial world and the crypto economy, we build and operate the fiat on- and off-ramps and payment services that let Coinbase’s customer-facing products deliver reliable, seamless payment processing and connect customer fiat funds into crypto. We’re seeking a deep technical leader to define the engineering vision for Payments, shape architectural cohesion across our global payment rails and funds-flow systems, drive platform-level reliability and cost efficiency, and lead the next evolution of how fiat moves into and out of Coinbase. What you’ll be doing (ie. job duties): Define and drive the multi‑quarter technical strategy for Payments, spanning rails, orchestration, and transfers, to support new products, geos, and significant growth in payment volume. Architect and evolve the core Payments platform (rails integrations, routing, and funds-flow services) for high availability, low latency, and cost efficiency at global scale. Lead end‑to‑end design and rollout of large, cross‑team initiatives (e.g., new global rails, decomp/migrations, resiliency programs), breaking high ambiguity into clear milestones and measurable outcomes. Set and enf

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Senior Recruiter to join our Core Recruiting team within People Success. This team owns hiring across Coinbase's G&A, Customer Experience, EAA and IT, and you'll be responsible for owning full-lifecycle recruiting across your portfolio. Depending on business needs, you may also support product group hiring, so flexibility across talent markets is key. You'll partner with hiring managers to deeply understand their talent needs, build strong pipelines, and contribute to process improvements that help the recruiting team scale. What you'll do: Own the full recruitment lifecycle from role intake through close across your portfolio, with the flexibility to support both G&A and technical requisitions as business needs shift. Build candidate pipelines through self-sourcing and competitive research, ensuring sufficient depth and quality at each stage to maintain hiring velocity. Partner with hiring managers across your client groups to translate hiring needs into effective search strategies and a strong candidate and interviewer experience. Drive data integrity and use pipeline analytics to inform hiring efficiency, surface bottlenecks, and improve outcomes for your hiring teams. Contribute to recruiting process improvements and pilot programs that help the team scale its impact across global markets. Required Skills and Experience: 5+ years of full-li

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 Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

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. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most - employees, customers, patients, and guests - easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You’ll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft’s enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of t

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. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions.We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products that help organizations move the people who matter most - employees, customers, patients, and guests - easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science projects that accelerate growth, improve operational efficiency, and deliver measurable value to our enterprise partners. You’ll collaborate closely with Product, Engineering, Design, and Go-to-Market teams to build production ML models, experimentation frameworks, and advanced analytics that inform strategy and power product innovation. This is a high-visibility, high-impact role with direct influence on Lyft’s enterprise offerings. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation, alongside strong business acumen in B2B contexts and a proven track record of t

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 Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

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 Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

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 Global Sales Enablement is responsible for driving productivity and effectiveness across Stripe's sales organization. We're looking for a technical enablement expert who is passionate about empowering solution architects. The Solution Architect (SA) Enablement Business Partner will develop and deliver enablement programs that equip our SA teams with the deep product knowledge, technical skills, and consultative selling capabilities needed to drive success for Stripe enterprise customers. This role requires strong technical expertise, a keen eye for content curation, and the ability to scale enablement at pace. This individual is flexible, meticulous in their craft, and has a positive “can do” attitude. What you’ll do You'll act as a strategic partner to SA leadership and contribute to the global sales enablement strategy, designing and delivering the programs that equip solution architects with the product knowledge and consultative skills needed to drive success for Stripe enterprise customers. Working at the intersection of Product and GTM, you'll build the content, tools, and systems that let SA enablement scale as the organization grows—staying current on industry trend

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 Financial Partnerships team sits within the Global Partnerships organization and is a key component of our success. Our team is responsible for developing and managing relationships with the global and regional banks that enable the Stripe product strategy and deliver new capabilities to Stripe users. Our team executes on high-impact, cross-functional product partnership initiatives across existing products and early-stage "up the stack" financial products. These partnerships have a significant impact on Stripe and are essential for us to offer products used by millions of our users. What you'll do We're looking for a Partner Development Manager to join the Financial Partnerships team. You'll be responsible for developing and executing the multi-year, global strategies for building our relationships across many of our most important banking partners. You'll focus on designing, scaling, and continuously improving mechanisms to deepen relationships with our partners, as well as highly impactful programs key to differentiating Stripe. As part of these efforts, you'll collaborate closely with cross-functional stakeholders (including Product, Engineering, Legal, Finance, Risk, etc.), and with the banking partners' executive teams. The successful candidate will have a demonstrated ability to manage and develop partners, think strategically and apply diagnostic thinking to business, product, and technical challenges, and earn trust with and inf

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 Stripe’s Global Product Strategy & Operations team is a small, high impact team. We help run the Global product organization, which is responsible for helping Stripe and our users expand globally. Our team works cross functionally within the Global Product and across most of Stripe’s teams. We develop the long-term strategic plan for Global, drive an operating model that allows the Global organization to operate at scale, and design and incubate high impact 0→1 initiatives. Whatever it is, we work on what will move the needle most for Stripe. What you’ll do In this role, you will work cross-functionally within our group and across Stripe’s technical and user-facing teams to solve problems that benefit our users. Specifically: Work on cross-cutting company strategy projects and collaborate with teams to implement changes; Partner directly with senior leaders and cross functional teams to accelerate progress, solve hard scaling initiatives, and incubate new programs; Drive analysis and research to help inform our overall strategy and make the right growth decisions for global products, including local payment methods; Help shape the product roadmap for the Stripe’s APAC business through robust gathering of competitive intelligence, user insights, and data analysis; Advise Product, Engineering, GTM & cross-functional leadership teams on where resources should be deployed to maximize long-term strategic value; Partner with Finance to

About the team Special Situations at OpenAI is the company’s commercial engine for its most complex and consequential opportunities. The team operates where new verticals, partnership models, and customer motions must be invented, before a repeatable GTM or delivery playbook exists, by bringing together product, research, engineering, and GTM leaders around a single outcome. Many of these efforts begin as “new bets” (new verticals, new customer motions, new partnership models) and mature into repeatable ways of working that shape how OpenAI operates at scale. The team acts as a force-multiplier for the company by accelerating decision-making, aligning stakeholders, and converting complex opportunities into durable results. About the role We’re hiring a Deal Lead, Special Situations to help stand up new vertical bets, with a particular focus on partnership development in the semiconductor industry. You will identify where AI can create step-change value for semiconductor companies and ecosystem partners, originate and shape multi-project programs with FDEs and applied researchers, package them into compelling commercial proposals, and execute creative, complex partnerships while keeping executives and cross-functional teams tightly aligned. This role is especially focused on building strategic partnerships in semiconductors. You do not need to be a technical engineer, but you do need to be able to speak the language of the semiconductor industry, build credibility quickly with technical and business stakeholders, and come up the learning curve fast on industry dynamics, workflows, and constraints. A key part of the role is crafting deals with semiconductor companies that demonstrate our unique competitive advantages. To do this effectively, you will need to develop a strong point of view on the market, understand the competitive landscape, and clearly articulate OpenAI’s differentiated value and strategic advantage. Special Situations owns the overall success of each

About the Team OpenAI’s Industrial Compute organization is building the infrastructure required to support the next generation of AI at unprecedented scale. Through a combination of strategic partnerships and self-built campuses, we are developing and operating large-scale data center infrastructure across power, cooling, networking, compute, construction, and site operations. The scale and complexity of this infrastructure introduces a broad range of environmental, health, and safety considerations across site development, design, construction, equipment deployment, commissioning, and ongoing operations. EHS is a critical part of how we build infrastructure that is safe, resilient, compliant, and capable of operating at scale. About the Role We are seeking an EHS Lead to establish and drive environmental, health, and safety strategy across OpenAI’s rapidly expanding compute infrastructure portfolio. This role will develop the EHS framework for large-scale data center development and operations, partnering closely with engineering, construction, infrastructure delivery, facilities, operations, security, legal, environmental, and external development partners. The EHS Lead will help ensure that safety and environmental considerations are embedded into projects from early design and site development through construction, commissioning, and operations. The role will establish standards and operating mechanisms, assess and mitigate risks, oversee EHS performance across internal teams and third-party partners, and provide technical leadership on complex or high-consequence safety issues. Success requires the ability to operate strategically while maintaining strong technical depth and executional rigor in fast-moving, highly complex infrastructure environments. In this role, you will: Develop and own EHS strategy, standards, programs, and operating mechanisms across OpenAI’s data center and compute infrastructure portfolio. Establish scalable EHS requirements for site de