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About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an Account Executive to scale our business in Japan — a highly motivated self-starter who is passionate about voice AI and how it's transforming the way businesses build and engage with their customers. We don't just sell a product; we partner with companies to help them create new experiences and unlock value at scale with our breakthrough voice technology. In this role you will: • Build and manage a growing portfolio of new accounts across industries to help ElevenLabs meet its revenue goals. • Proactively identify and generate new business opportunities that align with ElevenLabs' product offering and roadmap. • Run agile, high-velocity outbound and outreach — moving fast from first touch to close. • Negotiate contracts and close sales in collaboration with the Growth team. • Develop and maintain a deep, hands-on understanding of ElevenLabs' products and how they map to customer use cases. • Own KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. Requirements • Proven track record of meeting & exceeding sales targets in a fast-paced environment, including self-sourced pipeline. • 5-7 years of previous experience in sales in a SaaS organisation. • Strong product intuition — able to learn a technical product deeply and clearly articulate its value to customers. Genuine curiosity about Voice GenAI. • A proactive, agile operator who moves fast rather than waiting for leads to come in. • Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organisation. • A hybrid customer- & product-driven mentality that prioritises client satisfaction and scale. • High fluency in Japanese; working proficiency in English. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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 Group Product Manager to lead the Customer Engagement & Experience (CEE) product team within our EE organization, which defines and builds Coinbase's retail customer support experiences. You'll own the full support ecosystem serving over 100 million customers worldwide, from AI-powered self-service and automation to the Concierge program for our highest-value customers, and the social support strategy that meets customers where they are. You'll lead a team of product managers, technical program managers, and designers to deliver a cohesive experience that balances automation with human support, with the ambition to automate more than 90% of customer contacts while maximizing quality across every support surface and interaction. What you'll do: - Own the multi-year vision, strategy, and roadmap for Coinbase's retail customer support experiences, aligning Engineering, Design, Data, and CX behind ambitious goals tied to company-level automation, quality, and retention outcomes. - Drive the next generation of AI-powered self-service and automation across Coinbase product surfaces, the Help Center , and chat, voice, and social channels, building clean handoffs between AI agents and human specialists so customers get the right help in the right moment. - Own the strategic direction for the Concierge program, pairing dedicated human concierges with AI-powered tooling to deliver a relationship-based support experience that builds trust and deepens engagement with our most valuable customers. - Build proactive support capabilities that detect and resolve issues before customers contact us, identify churn risks and engagement opportunities, and turn public social support moments into trust-building experiences. - Develop and mentor a globally distributed product group, holding an extremely high quality bar for craft, operational excellence, and customer outcomes across everything the team ships. Required Skills and Experience: - 10+ years of product management experience, with 5+ years shipping customer-facing support, self-service, or automation products in fintech, financial services, or similarly regulated domains at global scale. - 5+ years leading and developing product management teams, including managing senior PMs and operating through influence across large, cross-functional organizations. - Demonstrated experience delivering AI-powered products (e.g., LLM-based assistants, agentic workflows, intelligent routing, or automation) with appropriate controls, evaluation, and governance. - Proven ability to define measurable outcomes (automation rate, product and support quality, customer effort scores, retention), instrument product surfaces, and use data to drive roadmap prioritization across a multi-team portfolio. - Leverages AI to accelerate output, efficiency, and quality of the product group in addition to identifying priorities and tradeoff opportunities across a diverse portfolio of product investments. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $243,865 - $286,900 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role Forward Deployed Engineers embed directly with customer engineering teams to ship production-grade Cursor workflows that measurably improve how they build software. You’ll figure out what’s actually slowing a team down, design a practical solution, and own it end-to-end, from first discovery call through launch, iteration, and post-production support. This is not a demo role. You are responsible for systems that work in the real world. This role will be based in all 3 cities: Bengaluru, New Delhi and Mumbai. What you’ll do - Lead discovery with customer engineers to identify the real bottleneck and define clear success metrics - Design and build Cursor-powered workflows (e.g., large-scale refactors, migrations, PR review loops, incident → fix pipelines, spec → implementation systems) - Ship a fast first version in days, then harden it into something reliable over weeks with proper rollout plans, monitoring, and iteration based on real usage - Own production quality: tracing, evals, metrics, debugging model behavior, latency/cost tradeoffs, and failure modes - Work directly with Staff+/Platform/Eng leaders — going deep in code while also communicating clearly about tradeoffs and results - Turn what you build into reusable patterns and push improvements back into the core Cursor product You may be a fit if - You thrive in ambiguity and can turn fuzzy problems into clear scopes and shipped systems - You’ve built and owned AI-native workflows in production, not just prototypes, and have debugged real-world model failures - You’re comfortable leading discovery conversations and being accountable for customer outcomes - You build end-to-end - if it needs frontend, backend, infra, or prompt iteration, you’ll own it - You’ve handled production reliability before (metrics, alerts, safe rollouts, incident response) - You’re strong in Python and TypeScript/JavaScript and can ramp quickly on new stacks

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role As a Software Engineer on the Model Lifecycle and Signals team at SpaceXAI, you'll own the bridge between frontier models and every user facingCursor product, used at a scale few teams ever see. You'll decide when we use which model, spot where models go off track and build the guardrails to keep them on it, and shape what the next generation of models should learn. This role sits at the intersection of infrastructure, data, and product. You'll bring models from preview to production, dig into real-world data to find out what's actually working, and partner with research, inference, product, and data science teams to turn that evidence into better products and better models. Every improvement you make compounds across our products and every model we ship. What you'll work on - Get new frontier models into users' hands the day they're ready, and retire old ones without anyone noticing. - Evaluate internal and external preview models before launch and give meaningful feedback to the teams building them. - Build Cursor Router : decide which model handles each request, balancing quality, speed, and cost at massive scale. - Build the eyes and ears of the product, and the experimentation platform that puts them to work: signals that show where each model shines, where it goes off track, and what 'better' actually means. You may be a fit if - You're an exceptional engineer with a track record of shipping production systems people rely on. You own problems end to end, and you'd rather automate a painful process than repeat it. - You've built and operated evaluation, measurement, or model serving systems, such as AI evals, experimentation, ranking/relevance, or routers. You can turn ambiguous "quality" questions into concrete metrics, pipelines, and decisions. - You're fluent with data and can collaborate effectively with data scientists and researchers. - You have strong taste and real curiosity about model and agent behavior. You try new models the day they come out and have opinions about where each one shines. Applying If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. LI-DNI

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As a Product Engineer on the Grok Connectors team at SpaceXAI, you'll build the integrations that let Grok, Cursor and Grok Bot do real work inside the tools people use every day: Gmail, Outlook, Google Calendar and Drive, Microsoft Teams, OneDrive and SharePoint, GitHub, Slack, finance accounts, and a fast-growing marketplace of third-party MCP plugins. You'll architect, implement, and deploy features end to end, from OAuth sign-in and token handling, to tool schemas and reliability across hundreds of millions of tool calls, to the cards and approval flows users see on web, desktop, and mobile. You'll work directly with enterprise customers and partners to ship connectors that large organizations can trust. You may be a fit if - You have an entrepreneurial spirit and love creating outsized business impact. - You want AI agents to be genuinely useful, by connecting them to real data and real actions safely. - You have deep, practical knowledge of OAuth 2.0 and OIDC and of large provider APIs like Google Workspace and Microsoft Graph, or you're excited to become the expert. - You care about reliability: concurrency, retries, rate limits, and observability. You fix root causes, not symptoms. - You let data decide what to work on. You size user impact from logs and metrics, and you measure error rates before and after every fix. - You're strong in TypeScript and comfortable shipping across backend services and client UI in a large codebase. - You enjoy working with customers, partners, QA, and support, and can answer a security review question as clearly as you can fix a bug. - Bonus: experience with the MCP protocol, Rust, Kubernetes and multi-cloud deployments, enterprise security and compliance (ZDR, audit logs, Conditional Access), or building LLM agents for automation. Sample projects include - Building an automated triage system that pulls user reports from feedback channels, groups them by root cause with user-impact estimates, files issues, and starts a first-pass coding agent on each fix - Redesigning OAuth token refresh so concurrent requests never burn a single-use refresh token and mark a working connector as disconnected - Cutting hundreds of thousands of daily tool-call errors by generating tool definitions from vendors' published API specs, fixing argument mapping, and adding batch tools - Shipping Gmail and Outlook draft, reply, and attachment flows, with approval cards so an agent never sends an email without the user's sign-off - Launching new partner connectors, from debugging a partner's OAuth metadata to rollout and adoption metrics - Making connectors work for enterprise and single-tenant deployments: custom certificate authorities, Entra Conditional Access, admin controls, and compliance reviews with large financial institutions Applying If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.

About the Role We're hiring the best people in the market, and we need a sourcer who can help us find and win them. As a Recruiting Sourcer, you'll build and nurture the top of the funnel for our business-side hiring across Go-to-Market, Infrastructure Strategy, and G&A. You'll work with senior recruiting partners and business leaders on critical, hard-to-fill searches. Your first priority will be clearing our open searches by finding and engaging exceptional, mostly passive candidates. Over time, you'll build a warm pipeline of top-tier talent and a repeatable sourcing playbook that helps us scale. This is a chance to tell Together AI's story to people who are already doing great work elsewhere, and to see that work turn into real hires. Responsibilities - Source, engage, and nurture top-tier passive candidates across GTM, Infrastructure Strategy, and G&A, including Enterprise Sales, Solutions Engineering, Sales leadership, Marketing, Customer Success, Director-level G&A, and Strategy and Infrastructure roles at the intersection of finance and AI compute. - Partner with hiring managers and recruiters to calibrate on roles and ideal candidate profiles before sourcing - Write personalized outreach that conveys Together AI's story and resonates with each candidate - Proactively build pipelines for current and future roles, without waiting to be assigned - Build and maintain long-term relationships with top-tier talent - Track key sourcing metrics and use data to refine strategy and improve results - Develop repeatable sourcing systems and a playbook to scale as hiring grows - Work within our sourcing and recruiting stack, including GEM, LinkedIn Recruiter, Noon AI, and Greenhouse - Adapt quickly as priorities shift and move between functions with ease Requirements - 5+ years of sourcing experience (strong candidates with 3-4 years and exceptional results on hard-to-fill roles are also encouraged to apply) - Track record sourcing senior passive talent for critical, hard-to-fill roles across a range of functions and departments - Strong sourcing, mapping, and outreach skills, with the ability to craft compelling, personalized messaging - Experience in a startup or hyper-growth environment at some point in your career - Experience building sourcing systems, identifying key metrics, and making data-driven decisions - Strong communication skills and the ability to build trust with stakeholders and candidates - Self-directed and operationally agile, comfortable with shifting priorities - Genuine interest in AI, with some knowledge of the space or a willingness to learn - Experience with sourcing tools like GEM, LinkedIn Recruiter, and Noon AI is a plus; familiarity with Greenhouse or a similar ATS, or the ability to adopt new tools quickly If you don't meet every requirement but believe you'd be a great fit, we'd still love to hear from you. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 125 -190K + bonus program + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunities Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .

About the Role Together AI is looking for a Field Marketing Manager to build and scale our account-based field and in-person community programs across priority markets. This role will be responsible for developing the strategy, audience, format, and execution of high-impact field programs designed to engage priority accounts, accelerate pipeline, deepen customer relationships, and build authentic technical community. You’ll own programs end-to-end, from identifying the right accounts and developing the event concept to driving attendance, managing the attendee experience, partnering with Sales on follow-up, and measuring business impact. This is a highly cross-functional role for someone who can pair strong strategic judgment with exceptional execution. You should be just as comfortable building an ABM event strategy with Sales as you are selecting a venue, shaping an agenda, managing a vendor, or reviewing the attendee list the day before an event. Responsibilities ABM & Account-Based Events - Develop and execute an ABM event strategy aligned to priority segments, accounts, pipeline goals, and sales priorities. - Develop repeatable account-based field programs for priority accounts and segments, including dinners, roundtables, customer gatherings, and other targeted regional programs. - Partner closely with Sales to identify the right accounts, stakeholders, and moments in the buying cycle for each program. - Own account targeting, invitation strategy, registration goals, attendance conversion, and post-event follow-up plans. - Ensure every program has a clear business objective and defined next step for participating accounts. - Evaluate program performance based on account engagement, pipeline creation and acceleration, POCs, opportunities, and other meaningful business outcomes. Community Programs - Build and scale Together AI’s community event strategy across key markets. - Develop meetups, technical gatherings, workshops, partner programs, and other formats that bring together developers, researchers, AI practitioners, customers, and ecosystem partners. - Partner with DevRel, Research, Product, Engineering, and other technical teams to develop programming that is genuinely useful and relevant to the audience. - Identify opportunities to partner with customers, investors, technology partners, startups, and community organizations to extend reach and credibility. - Build repeatable playbooks while ensuring programs still feel authentic to the local community. End-to-End Program Ownership - Own programs from strategy through execution, including concept development, audience strategy, venue sourcing, budget, vendors, registration, attendee communications, run-of-show, onsite execution, and follow-up. - Manage multiple programs simultaneously while maintaining a high bar for quality and attendee experience. - Partner with the broader Events team to support select third-party conferences and industry moments where field, community, or account-based activation can extend the impact of Together AI’s presence. - Partner with Creative and Brand on event identity, environmental design, signage, swag, and other experience touchpoints. - Develop clear event briefs, timelines, budgets, staffing plans, and cross-functional workbacks. - Own vendor relationships and negotiate contracts to maximize quality and efficiency. - Travel as needed to support programs onsite. Measurement & Optimization - Partner with Marketing Ops, Demand Gen, and Sales to ensure programs are properly tracked through Salesforce and our event technology stack. - Build consistent pre- and post-event reporting that shows who attended, account engagement, pipeline impact, and follow-up status. - Conduct post-event retrospectives and turn learnings into stronger future programs. - Use data and qualitative feedback to recommend where we should invest more, change approach, or stop investing. Requirements - 5–7+ years of experience in field marketing, event marketing, ABM, or a related B2B technology marketing role. - Experience developing and executing account-based programs in close partnership with Sales. - Strong understanding of how events can support pipeline creation, acceleration, customer expansion, and relationship development. - Experience creating community or experiential programs for technical audiences. - Strong project management skills with the ability to independently manage multiple complex programs at once. - Exceptional attention to detail and a high bar for attendee experience. - Strong written and verbal communication skills. - Ability to work effectively across Sales, Demand Gen, Product Marketing, DevRel, Research, Creative, Partnerships, and executive stakeholders. - Comfortable using Salesforce and event/marketing technology to track performance and business impact. - Strong judgment and the ability to prioritize opportunities based on expected impact, not simply volume of requests. - High agency and comfort operating in a fast-moving environment with ambiguity. - Ability to travel up to 30–40% based on event schedules, including international travel. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is: $170,000 - $195,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Role As a member of the Growth and Digital Marketing team, this role owns the content engine behind our digital channels. Working closely with the product marketing team, you will identify high-value topics, write most of it, and make sure it attracts attention once it’s published. You'll manage the editorial calendar and the content on sambanova.ai , and create the assets demand gen depends on, including landing pages, gated reports, nurture copy, and campaign narratives. This is a hands-on role that requires a strong writer. Working with external resources, you'll use search and performance data to understand what content resonates with target audiences. Success looks like a content program that measurably grows organic traffic, keyword rankings, and pipeline. What You’ll Do WEB & ORGANIC SEARCH - Own content on sambanova.ai , including product pages, solution pages, resource hub, and blog, keeping it accurate as the products and messaging evolves. - Conduct keyword research and build an SEO content roadmap that maps to high search rankings. - Handle on-page SEO end-to-end: titles, meta descriptions, heading structure, internal linking, schema, and image optimization. - Partner with the web project manager and design team on the architecture, performance improvements; and test headlines, CTAs, and layouts. - Audit existing web page content quarterly, and refresh as needed. FULL-FUNNEL CONTENT - Plan and manage the editorial calendar across blog, web, and email, coordinating with product marketing, developer relations, social, and comms. - Write and edit content across formats: technical blog posts, customer case studies, whitepapers, and newsletters. - Translate engineering and product input into narratives a non-specialist executive can follow and an AI engineer won't dismiss. - Maintain voice, terminology, and style standards; and edit work from freelancers, agencies, and internal subject-matter experts. - Repurpose content. Strong assets can translate into a blog series or email program. DEMAND GENERATION & CAMPAIGNS - Create campaign content: landing pages, gated assets, ad copy, webinar abstracts, and multi-touch nurture sequences. - Work with demand gen and marketing ops to map content to funnel stage and buyer segment, and close the gaps that show up in the journey. What We’re Looking For - 4-6 years of experience in content marketing, B2B tech preferred, with published work to share. - Bachelor’s degree - Working SEO fluency. Keyword research, on-page optimization, content structure for search and LLM answer engines. - Demand gen literacy. Understanding campaign frameworks and how to optimize for conversion. - Analytical habits. Leverage GA4 to evaluate content performance. - Hands-on tooling with HubSpot CMS. - Project ownership. Ability to prioritize and meet multiple deadlines for multiple stakeholders on time. - Curiosity about technology - particularly AI/ML. No CS degree required, but able to understand technology to convey benefits to target audiences. - Basic design or video literacy (Wistia, Canva, light editing) for fast turnarounds. Base Salary Range: Base Pay Range $167,000 - $204,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

About the Role As the Sr. Partnerships Manager for US Model Labs, you will own Together AI's relationships with the most influential model builders in the United States: frontier labs, the AI research organizations inside the hyperscalers and major platform companies, chipmakers with their own model programs, and the well-funded independent labs shaping the open-weights landscape. These are the partners whose releases move the market, and your job is to make sure Together AI is the platform they launch on, build with, and route developers to. This is a portfolio of a small number of very large, very complex accounts. Unlike a broad ecosystem role, success here is measured in depth rather than breadth: multi-threaded relationships across research, product, legal, and business teams; deals that often bundle model distribution with compute, co-marketing, and joint go-to-market; and the trust required to get early access to models before they ship. You will sit at the intersection of Product, Engineering, Finance, and Marketing, and you will frequently be the person in the room representing Together AI to organizations many times our size. You are a strategic deal-maker who is comfortable in long, ambiguous cycles with sophisticated counterparties, and who can turn a single relationship into a durable, expanding partnership. Responsibilities - Own the US lab portfolio: Build and execute the partnership strategy for a defined set of major US model labs, including account plans, executive engagement, and a clear view of each lab's roadmap and where Together AI fits in it. - Land flagship launches: Secure day-zero (or day-one) availability of the most anticipated model releases on the Together platform, coordinating pre-release access, technical bring-up, legal, and launch marketing so we ship alongside the lab. - Multi-thread across large organizations: Navigate research teams, product leads, developer relations, alliances and partner programs, legal, and executive sponsors to build support for Together AI at every level of the partner org. - Structure strategic deals: Lead negotiation of distribution, licensing, revenue-share, compute, and co-marketing agreements, including non-standard structures that combine several of these. Handle complex IP, usage-rights, and exclusivity discussions with counterparties that have deep in-house legal and BD teams. - Product and engineering alignment: Work with Product and Engineering to define bring-up requirements, manage NDA'd early access, and ensure new models are optimized for our inference and fine-tuning stacks ahead of launch. - Commercial strategy: Partner with Finance to build deal structures that balance aggressive growth with sustainable unit economics, and to model the revenue impact of flagship model availability. - Go-to-market and co-selling: Collaborate with Partner Marketing on joint announcements and campaigns, and work with Sales to turn lab relationships into enterprise wins through co-selling motions, joint customer engagements, and partner referral programs. - Be the voice of the labs internally: Bring market and roadmap intelligence back to Product and Leadership, and shape how Together AI positions itself relative to the labs' own platforms and their cloud partners. Requirements - Enterprise-scale partnership experience: 7–10+ years in Strategic Partnerships, Business Development, or Alliances, with a track record of closing and growing partnerships with large technology companies where the counterparty had its own BD, legal, and partner teams. - Strategic deal-maker: You have constructed complex, multi-component agreements that don't follow a standard template, and you can hold your own in IP, licensing, revenue-share, and exclusivity negotiations with sophisticated counterparties. - High EQ and executive presence: You build trust quickly, manage long relationships through changes in personnel and priorities, and are credible in front of senior leaders at partner organizations. - Technical fluency: While you don't need to be an ML researcher, you should be able to discuss model architectures, context windows, licensing terms, and inference and fine-tuning requirements with both partners and our internal teams. - AI-native mindset: You work at pace with a relentless sense of urgency, and you prefer "done and iterating" over "perfect and stagnant," even while managing accounts that move on their own timelines. Bonus Points - Direct experience working at, or partnering with, a frontier lab, a hyperscaler AI organization, or a major open-weights model builder. - Experience with hyperscaler or cloud marketplace partner programs (e.g., alliances, co-sell, or ISV programs). - Experience in co-selling motions where partnerships directly drove revenue. - Background at a high-growth API, cloud infrastructure, or developer platform company managing complex ecosystems. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 300 - 350K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is hiring a Senior Technical Partner Marketing Manager to turn relationships across the ML and AI ecosystem into differentiated joint solutions, clear “better together” stories, and repeatable go-to-market programs. This role will work across model-serving and open-source frameworks, silicon and infrastructure, cloud and inference platforms, model providers, developer tools, and AI application platforms to show how combined technologies create greater value for developers and enterprise customers. About the Role This role sits at the intersection of Partner Engineering, Developer Relations, Product Marketing, Alliances, Product, and go-to-market. You will identify the strongest joint value propositions by ecosystem segment, translate integrations and shared roadmaps into credible technical stories, and bring those stories to market through reference architectures, demos, launches, content, and field programs. The right candidate can go deep enough on an integration to define why it matters, align independent organizations around a shared narrative, and build a coordinated GTM motion that creates adoption and business value for both sides. Responsibilities - Develop segment-specific partner strategies across model-serving and open-source frameworks, silicon and accelerators, cloud and inference providers, model providers, data and developer platforms, AI tooling, and application ecosystems - Define differentiated “better together” value propositions that explain the customer and developer outcomes created by each class of integration - Turn partner integrations into reference architectures, validated demos, solution briefs, tutorials, benchmarks, presentations, and field enablement - Build and execute joint go-to-market plans with clear audiences, use cases, messaging, assets, launch sequences, field motions, and measures of success - Partner closely with Alliances, Engineering, Product, Developer Relations, Product Marketing, Sales, and partner teams to define shared priorities, responsibilities, and deliverables - Lead the content and readiness workstream for partner launches, ensuring technical claims, demonstrations, and proof points are accurate and reviewable - Create reusable segment playbooks that help SambaNova evaluate opportunities and scale successful partner motions across the ML and AI ecosystem - Support technical workshops, partner briefings, field meetings, campaigns, events, webinars, and executive engagements with tailored demos and clear talk tracks - Gather ecosystem feedback and competitive insight to inform product priorities, integration strategy, positioning, and future partner investments - Track developer adoption, co-marketing performance, influenced pipeline, asset usage, partner engagement, and customer outcomes; use results to improve the GTM strategy What We’re Looking For - 7+ years of experience in partner marketing, technical product marketing, developer marketing, solutions architecture, strategic alliances, or a closely related role - Technical fluency in AI infrastructure, model serving, inference, open-source software, cloud platforms, silicon, developer tools, or data center systems - Experience building joint value propositions and executing coordinated go-to-market programs with technology partners - Ability to understand an integration deeply enough to create credible technical content, demonstrations, positioning, and enablement - Strong program management and stakeholder leadership across internal teams and independent partner organizations - Excellent writing, presentation, and verbal communication skills for developer, partner, field, and enterprise audiences - High ownership, sound judgment, and comfort independently balancing technical accuracy, partner priorities, and launch timelines Preferred Qualifications - Experience working across multiple ML and AI ecosystem segments, such as model-serving frameworks, silicon, cloud infrastructure, model platforms, developer tools, or AI applications - Hands-on familiarity with reference architectures, proofs of concept, benchmarking, workload optimization, integration testing, or OpenAI-compatible APIs - Experience supporting joint launches, executive events, developer programs, customer proof, and partner or sales enablement - A track record of turning a technical integration into measurable adoption, engagement, influenced pipeline, or customer value - Experience creating repeatable partner playbooks or scaling a successful joint GTM motion across a broader ecosystem segment Why This Role Matters AI adoption depends on an ecosystem, not a single component. This role will define where SambaNova fits across the ML and AI value chain, make each integration’s combined value easy to understand, and turn strong technical partnerships into coordinated go-to-market motions that benefit developers, customers, and partners. Base Salary Range: Base Pay Range $196,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Role Reporting to the Director of Digital Marketing, this role supports the SambaNova digital ecosystem, including sambanova.ai and the SambaAcademy educational partner portal, and collaborates with teams managing SambaCloud and our Documentation site to ensure a consistent user experience. Beyond the day-to-day maintenance, this role will be responsible for planning functional improvements, building new pages, ongoing content updates, and ensuring the quality of what’s published. This is a hands-on role. You will work directly with the design team and web developers who provide deeper technical support. Expect to be in the HubSpot CMS daily, building and QA'ing pages. You'll receive and prioritize projects among stakeholders, but ultimately, it’s your job to ensure builds and updates happen predictably, page loads are fast, and conversion from visit to pipeline improves measurably. What You'll Do SITE OWNERSHIP & CMS - Manage the sambanova.ai web and SambaAcademy partner portal roadmap: intake, scoping, prioritization, and timelines. - Build, publish, and QA pages in HubSpot CMS: templates, modules, CTAs, and UX. - Maintain the design system and component library so pages stay consistent as the site grows. - Run the governance layer: page request process, naming conventions, approvals, and documentation. WEB OPERATIONS & PERFORMANCE - Own site performance and Core Web Vitals; partner with developers on page speed, caching, and technical fixes. - Maintain analytics and tag infrastructure: GA4, Google Tag Manager, and conversion events. - Run an A/B and multivariate testing program on headlines, layouts, and CTAs, and act on the results. - Improve website accessibility (WCAG 2.1 AA). - Coordinate with the content manager and SEO efforts on technical SEO: site structure, schema, crawlability, and redirect hygiene. - Monitor uptime, broken links, form failures, and integration errors; fix or escalate. AGENCY & STAKEHOLDER MANAGEMENT - Work with design team and web development agencies: project scope, timelines, and quality of delivery. - Translate business requests into clear technical requirements. - Partner with marketing ops on forms, lead routing, and CRM handoffs so every page feeds the funnel correctly. - Manage translation service to ensure content updates are also localized for Japanese pages. - Report on web performance and roadmap status to marketing leadership on a regular cadence. What We're Looking For - 5-8 years of experience managing B2B websites, ideally in tech. - Bachelor's degree. - Hands-on HubSpot or WordPress CMS expertise: building and publishing, not just reviewing. - Working knowledge of HTML, CSS, and responsive design; enough technical depth to evaluate developer work and debug an issue. - Analytics fluency. GA4 and Google Tag Manager, with a standard of using data to decide next steps. - Demonstrated project management across competing stakeholders and deadlines, with the judgment to prioritize. - Vendor and agency management experience, including project budget accountability. - Understanding of technical SEO fundamentals, site performance, and web accessibility standards. - Curiosity about technology, particularly AI/ML. No CS degree required, but able to understand the products well enough to represent them accurately on the site. - Familiarity with Figma, Jira, Asana, and basic design or video tooling (Canva, Wistia) for fast turnarounds. Base Salary Range: Base Pay Range $167,000 - $204,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is hiring a Senior Developer Advocate, AI Content & Community to make its technology visible, useful, and compelling to AI builders. This role will combine hands-on development with the reach and instincts of a trusted creator: building standout demos, showing developers what is possible, and working with influential voices across the developer ecosystem to amplify SambaNova’s technology. About the Role This is a builder-and-influencer role centered on working demos and developer credibility. You will use SambaCloud and the broader SambaNova platform to create agentic AI demos, applications, code, tutorials, videos, and live experiences that developers want to try and share. You will also cultivate relationships with technical creators, open-source contributors, community leaders, and developer influencers, turning product capabilities and ecosystem integrations into credible moments of discovery. The right candidate can prototype quickly, explain the technology clearly, perform naturally on camera or onstage, and convert one strong demo into content that travels across repositories, social channels, livestreams, workshops, and events. Responsibilities - Build polished agentic AI applications, reference demos, and repeatable developer workflows that showcase what developers can create with SambaCloud - Own a steady demo pipeline from concept and prototype through testing, packaging, documentation, recording, live delivery, and reuse by the field and community - Create original developer content across code repositories, videos, livestreams, tutorials, blog posts, social posts, and other developer-native formats - Serve as an authentic public voice for SambaNova across GitHub, YouTube, X, LinkedIn, community forums, meetups, hackathons, and conferences - Develop relationships with developer influencers, technical creators, open-source maintainers, and community leaders who can extend the reach and credibility of SambaNova’s work - Co-create demos, technical content, events, and social moments with creators and ecosystem partners - Translate inference, model serving, agent workflows, and platform capabilities into practical examples without sacrificing technical substance - Turn product launches, integrations, benchmarks, and technical proof points into compelling demos and developer stories - Engage directly with developers, answer questions, gather feedback, and bring recurring friction and feature requests back to Product and Engineering - Partner with Developer Relations, Product, Engineering, Product Marketing, Design, and Partner teams to align demos and content with priority use cases and launches - Measure demo usage, developer activation, creator participation, social reach, engagement, community growth, and qualitative feedback; use those insights to improve the program What We’re Looking For - 5+ years of experience in developer advocacy, software engineering, technical content creation, developer marketing, or a combination of these disciplines - Hands-on experience building with Python, APIs, large language models, and contemporary agent or orchestration frameworks - A substantial public portfolio of working demos, repositories, tutorials, talks, videos, livestreams, or substantive social content - A demonstrated ability to earn attention and engage a technical audience through developer communities and social platforms - Strong on-camera, live presentation, writing, and technical storytelling skills - Fluency in the AI developer ecosystem and genuine curiosity about new models, agent patterns, tools, and infrastructure tradeoffs - Ability to prototype quickly, troubleshoot live demos, learn in public, and respond constructively to technical feedback - Comfort owning an editorial and demo calendar and shipping consistently in a fast-moving environment Preferred Qualifications - Experience creating agentic AI demos, multimodal applications, or production-oriented reference implementations - Familiarity with OpenAI-compatible APIs, model evaluation, prompt caching, retrieval, tool use, and inference performance concepts - An established network or engaged presence among AI developers, technical creators, open-source projects, or developer communities - A track record of successful collaborations with developer influencers, technology partners, creators, or open-source maintainers - Experience hosting workshops, hackathons, meetups, panels, livestreams, or conference sessions - Video production or editing skills and an instinct for adapting one technical demo to multiple channels without turning it into hype Why This Role Matters Developers trust working code, useful demos, and respected voices more than claims. This role will make SambaNova tangible to builders, create demonstrations that prove what the platform can do, and mobilize the developer influencers and communities that can carry those stories across the AI ecosystem. Base Salary Range: Base Pay Range $196,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the team The Talent Acquisition team works with SambaNova leadership to build the teams that take our full-stack AI platform to market, from the people who sell and market it to the people who make customers successful and shape the product roadmap. About the role We are looking for a Senior Recruiter to partner with our go-to-market and product organizations. You'll own full lifecycle recruiting across Sales, Marketing, Customer Success, and Product, working directly with hiring managers to define roles, calibrate pipelines, and close top talent in a competitive market. This is a 6-month contract with the option to extend or convert to a full-time position based on performance. Responsibilities - Partner with hiring managers across Sales, Marketing, Customer Success, and Product to define roles, write job descriptions, calibrate pipeline, and design interviews - Source passive talent through LinkedIn, referrals, industry events, communities, and targeted outreach across the enterprise software and AI ecosystem - Own full lifecycle recruiting for roles across Sales (AEs, SDRs, sales engineers, sales leadership), Marketing, Customer Success, and Product - Keep feedback loops tight across interviewers and stakeholders - Maintain accurate data in Greenhouse and track the metrics that matter Required Experience - 5+ years of recruiting experience focused on go-to-market and product roles, ideally in enterprise software, SaaS, or AI/infrastructure - Proven track record filling roles such as Account Executive, Product Manager, Product Marketing, and Customer Success Manager - Demonstrated success sourcing and closing passive talent - Existing network within the enterprise tech and GTM community - Ability to influence senior business leadership - Excellent creative writing skills - Strong organizational skills - AI fluency with the ability to enhance productivity and workflows - Proficiency with Greenhouse Base Salary Range: Base Pay Range $170,000 - $200,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

About the Role This is not a traditional sourcing role. We're looking for someone who was an engineer first and wants to put that technical depth to work finding and winning the best engineers in the market. You will own proactive outbound sourcing only the top 1% technical talent in the Bay Area and our other hubs identifying them, reaching them, and judging their work on its merits before anyone else does. You'll build and run outreach campaigns, keep pipelines full for specific engineering roles, and bring a steady, systematic hustle to it. What sets this role apart is that you can evaluate technical talent. You can read a GitHub profile and see the signal in it. You can run a genuinely technical first call, get into the nuts and bolts of what someone built and their level of ownership, and tell the difference between top-tier and the rest after a single conversation. You'll report directly to the hiring manager on a tight-knit team of six, with visibility and room to grow into ownership of how we source and evaluate engineering talent. We'll teach you the recruiting craft - the technical judgment is what you bring. Responsibilities - Build and maintain pipelines of top-1% engineering talent for specific open roles - Design and run proactive outreach campaigns to elite engineers - persistent, high-volume, and well-written - Review GitHub profiles and other technical signals to identify genuinely strong candidates - Run technical first calls that go deep on what a candidate actually built - Screen for real quality, filtering aggressively so that only the best talent reaches the hiring team - Partner closely with the hiring manager and recruiter to calibrate on what "great" looks like for each role - Help shape Together AI's approach to technical sourcing as the function grows Requirements - A hands-on engineering background - you've worked as an engineer of some kind. A CS degree is a strong plus. - The ability to read a GitHub profile and glean real signal about someone's depth and quality - Enough current technical fluency to run a deep, credible first call with a strong engineer - Persistence, hustle, and resilience - you're energized by outbound and unfazed by rejection - Strong written communication that gets busy engineers to reply - Based in San Francisco - Recruiting or sourcing experience is a bonus, not a requirement - we'll teach you that part. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $125,000 - $190,000K + equity + benefits + incentive bonus. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About SambaNova Systems SambaNova Systems is on a mission to redefine what’s possible with AI. We build purpose-built AI hardware and software that enables enterprises to run the world’s most powerful AI models — at scale, in production, and with unmatched efficiency. Every role at SambaNova contributes to that mission, and this one is no exception. The Role SambaNova Systems is seeking an entry-level Data Center Operations Technician to apply their technical skills in a fast-paced and complex environment. In this role, you should come with some knowledge of computer hardware and the desire to participate in projects at a large-scale data center. This is a unique opportunity to shape the future of AI and the value it can unlock across every aspect of an organization’s business and operations. This job opens pathways for high growth but requires a learning mindset. You will be here to support the core of our physical computational and cloud resources. What You'll Do - Unpack servers and parts - Rack and stack equipment - Install and/or replace system components - Read elevation plans and implement assembly and installations accordingly and exactly - Pay attention to neatness and organization in all aspects of the job (racks, cables, etc.) - Install and maintain various networking technologies and fabrics - Troubleshoot and work with subject matter experts to resolve problems - Package servers for shipment - Daily housekeeping of packaging materials - Coordinate with logistics team for shipping and receiving assembled servers - Complete assigned tickets to uphold tight SLA’s and respond to requests in a timely manner - Assist with projects (new capacity as well as retrofits) and repairs throughout the data center - Demonstrate personal leadership, identifying and helping to create documentation for the data center knowledge base - Assist with process improvements and best practices in data center operations and expansions - Participate in on-call rotation as needed in Santa Clara, CA or additional off-site locations - Other data center operations technician role assignments as required What We're Looking For Required - 0-1+ years experience - High School Diploma; Associates Degree preferred - Able to perform all essential job functions, including walking, standing, bending, stooping, climbing, lifting and manual dexterity, with or without reasonable accommodation - Able to lift equipment and items up to 50 pounds - Able to operate lifting equipment for heavier items following training on the equipment - Able to work days/nights/weekends/holidays, if needed and/or required - This role will be required to be on-site at our data center locations in and around Santa Clara, CA. This role may require travel to additional data center site expansions. - Strong communication and organizational skills as well as a high attention to detail. - Ability to work in a fast-paced environment where adaptability and flexibility will be key to your success. - Ability to work independently and also within groups Nice to Have - Have working knowledge and experience in areas like Networking, Programming/Scripting, Hardware and OS repair. - Ability to understand and perform initial analysis to debug hardware, and Linux OS related issues Base Salary Range: Base Pay Range $28 - $35 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

About The Role Together AI is the AI native cloud, which has been built bottoms up to cater to the demand for the new generation of AI applications and agents. The company has seen tremendous growth with 10X growth year on year and has over a million developers. As we continue to drive product innovation, we are also investing deeply in our GTM. This role will lead partner marketing at Together AI. They will define our partner marketing strategy and own the execution, in collaboration with the GTM leadership. This role will report into the head of product and solution marketing and will have the opportunity to own and independently build the partner marketing function at one of the most innovative companies at the forefront of AI. Responsibilities - Create and execute partner marketing strategy, specially for NVIDIA and cloud partners – in collaboration with GTM leadership - Own core messaging for partners, working closely with product marketing to build those - Be the marketing POC (point of contact) for partners and run regular rhythms of business to drive co-marketing efforts - Collaborate with demand gen and field marketing to run partner marketing campaigns - Outline and track metrics to measure our success in the partner space - Experiment and try new ideas that can help us scale further the ROI for both partners and Together aI Requirements - 5+ years of partner marketing experience, preferably working with cloud hyperscalers (Azure, AWS, GCP) and/or NVIDIA - Proven track record in creating and implementing high impact partner campaigns for B2B businesses, preferably in AI or Software Platform (PaaS) - Strong ownership mindset and ability to build something from ground up - Experience with scaling organizations through partner GTM - Strong analytical skills with a data-driven approach to decision-making and reporting - Bachelors degree required, preferred if in engineering About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, reinforcement learning to create specialized models, and pre-training for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves over 400 trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $220-250K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. This is a hybrid role based in the Bay Area. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

About the Role As a Hardware Security Engineer, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities - Design, prototype, and implement security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, including BMCs, TPMs, secure boot chains, networking interfaces, and workload identity systems. - Assess and improve the security posture of server and accelerator platforms, including firmware update processes, device identity, trusted execution, and hardware-backed cryptography. - Support the secure platform lifecycle, from device onboarding, provisioning, and inventory through configuration validation and decommissioning. - Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, and support incident investigation. - Build AI-assisted security applications for asset classification, anomaly detection, and detection-and-response workflows. - Partner with IT and infrastructure teams to implement and enforce identity, access-control, endpoint, and privileged-access security practices. - Research and evaluate emerging technologies such as confidential computing, remote attestation, hardware roots of trust, and secure device management. - Write clean, well-documented code, technical designs, test plans, and security findings. Requirements - Actively pursuing a degree in Electrical Engineering, Computer Science, Software Engineering, or a related field expected by Summer 2027 - Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics - Strong programming skills with a proficiency in Python or bash - Exposure to building AI-assisted applications Preferred Qualifications - Prior security engineering experience through internships, hackathons, or projects - Coursework, projects, research, or internship experience in hardware security, embedded security, platform security, computer architecture, or secure systems design - Experience with one or more of the following: Microcontrollers, FPGA development, board bring-up, JTAG/SWD debugging, serial interfaces, SPI, I2C, UART, PCIe, or Ethernet About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $140,000 - $150,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is redefining the economics of AI inference. We build AI accelerators and deliver them as rack-scale systems that let enterprises deploy state-of-the-art AI — from the largest open-source models to demanding production workloads — in their own data centers, at speed and efficiency the incumbent platforms can't match. Financial services is where enterprise AI gets real: the largest institutions in the world are moving AI from experimentation into production, and they need to do it with performance, control, and economics that public cloud consumption can't deliver. We are hiring an Account Director, based in New York, to build and drive a large book of business across US financial services — global banks, capital markets firms, asset managers, and insurers. Reporting directly to the VP of Americas, you will own the number and run every pursuit end to end with high touch: from first executive conversation, through technical and risk validation, to negotiated production deployments. This is a senior, relationship-driven seat for a seller who is already trusted at the executive level in this industry and knows how to move a large institution from interest to commitment. What you'll be doing - Own the financial services number. Build and drive the book of business across US financial institutions — named accounts and expansion alike. You carry the quota and the account strategy. - Sell high and wide. Open and cultivate relationships with CIOs, CTOs, heads of AI/ML, and line-of-business executives. Deals in this segment are won in the executive suite and defended in the architecture review — you operate credibly in both. - Run the full pursuit end to end, high touch. Qualify rigorously. map the buying committee — technology, risk, procurement, finance — build the win plan, and personally drive every stage from discovery through commercial close. - Navigate the institution. Understand how large financial institutions actually adopt technology: model risk management, information security review, vendor risk, data residency, and regulatory posture. Anticipate these gates and build them into the deal plan rather than discovering them in month nine. - Sell the business case. Position on-premises AI deployment in terms the institution's economics: cost versus public cloud consumption at production scale, data control, latency, and the ability to run frontier open-source models inside their own walls. - Lead the pursuit team. Partner with Solutions Architects on technical validation and POCs, and orchestrate SambaNova executives into accounts deliberately and at the right altitude. - Build the segment playbook. Define the repeatable financial services motion — use cases, references, deal constructs — and lay the foundation for the enterprise team as it scales, with the opportunity to lead it. - Forecast with discipline. Own pipeline integrity and forecast accuracy for the segment, and bring structured market and competitive intelligence back to sales and product leadership. What we need to see - 10+ years of quota-carrying enterprise technology sales with a substantial track record selling into US financial services — banks, capital markets, asset management, or insurance — including large, complex infrastructure or platform deals. - Established senior relationships in the sector: you can open doors at the CIO/CTO and head-of-AI level at major institutions today, not build toward them. - Command of long-cycle, multi-stakeholder enterprise pursuits — technology, risk, compliance, procurement, and executive sponsors in parallel — with deal values in the seven to eight figures. - Working fluency in AI and data center infrastructure: how enterprises evaluate compute, where inference workloads are heading, and the tradeoffs between public cloud, private deployment, and hybrid. - Familiarity with the governance realities of financial institutions — model risk, information security review, vendor onboarding — and a record of getting deals through them. - Executive presence: you represent the company credibly with C-level customers and partner naturally with our own executives in strategic pursuits. Ways to stand out from the crowd - Existing relationships across multiple top-20 US financial institutions. - Experience selling AI infrastructure, accelerated compute, or on-premises platforms into regulated industries. - Experience displacing or selling against public cloud consumption with an on-premises or hybrid economic case. - A track record of landing a new vendor inside a major bank — first deal through vendor risk, then expansion. - History of building or leading an enterprise segment as it scaled. Base Salary Range: Base Pay Range $175,000 - $215,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

About the Role As Director of Investor Relations at Together, you will own the company's relationships with its investors and shape how the equity capital markets understand Together's business, strategy, and long-term opportunity. Reporting to the VP of FP&A, and partnering closely with the CEO, CFO, and executive team, you will be responsible for building our investor engagement strategy and investment narrative. You will also own the core planning and reporting work that underpins our investor story: board reporting, the long-range plan, and the KPIs we use to run and describe the business. This hybrid investor relations and FP&A role will provide deep and unique insight into building and scaling an AI inference company. This is a hands-on, high-ownership role in a lean function: you will build investor relations at Together largely from the ground up. This role is well suited to someone with analytical rigor and a background in equity capital markets who follows developments in technology and AI closely. You will be responsible for deeply understanding investors' perspectives on Together as well as the broader industry, bringing strategic insights to leadership to help inform key decisions. Strong candidates pair depth in financial analysis with the ability to distill sophisticated financial and technical concepts into clear and concise investor narratives. Responsibilities Investor Relations - Serve as a key point of contact for Together's equity investors - Play a leading role in primary and secondary fundraising processes alongside the CFO and CEO, including building investor materials, running the data room and diligence process, coordinating investor meetings, and managing the process through close - Develop and sharpen Together's investment narrative, showing how our technology, business model, infrastructure footprint, and financial profile add up to a compelling long-term thesis - Build the reporting cadence and package for equity investors. Manage ongoing investor communications and requests, including regular investor reporting, ad hoc requests, and follow-ups - Advise leadership on investor sentiment, market expectations, and how key decisions are likely to be received - Develop a view of Together’s current and prospective shareholder base and how it should evolve, leading investor targeting and outreach accordingly - Prepare the CEO, CFO, and executive team for investor and board conversations by anticipating questions, sharpening key messages, and providing the supporting data - Track developments across AI, cloud infrastructure, and equity capital markets, including peer fundraises, valuations, and investor sentiment, and translate them into concise insight for leadership Planning & Reporting - Own the quarterly board reporting package, working with finance and functional leaders to present a clear, accurate picture of the business - Run the long-range plan, including the fundraise and valuation models that connect the company's capital needs to its operating plan - Help define and evolve our monthly KPI reporting, establishing the metrics leadership and investors use to understand performance and benchmark against peers and competitors Requirements - Experience in investor relations, growth equity, venture capital, equity research, investment banking, or a comparable equity capital markets role - Exceptional written and verbal communication skills, with the ability to distill complex financial and technical topics into sharp, credible messages for sophisticated investors - A deep understanding of equity capital markets and how investors evaluate high-growth, capital-intensive companies - Familiarity with, or demonstrated interest in, AI and cloud infrastructure business models, such as GPU capacity economics, usage-based revenue, and infrastructure capex - Ability to build and maintain financial models, and to translate financial statements and operating metrics into a defensible view of a business - Sound judgment handling confidential information, with the discipline to know what should be shared, when, and with whom - Comfort working directly with company executives, board members, and senior investors - A strong work ethic and self-direction, with the creativity and problem-solving instincts to tackle novel questions where there is no established playbook Nice to Have - Direct experience executing late-stage private fundraises, from either the company or the investor side - Experience with consumption-based revenue or large-scale infrastructure business models About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 265-310K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .

About the Role Together AI is building the AI Acceleration Cloud. We are building an end-to-end platform for the generative AI lifecycle, integrating fast, reliable inference and model-shaping services with cutting-edge AI cloud infrastructure. We're looking for an exceptional Senior GTM & Business Recruiter who can help us scale our teams while keeping the bar of excellence high. You'll own end-to-end hiring across GTM and Business functions, from first conversation through offer close, and partner with GTM leadership to translate ambitious hiring plans into real teams. This role is based out of our Headquarters in San Francisco. Responsibilities - Own full-cycle strategic recruiting across GTM and Business organizations. - Partner with executives and leaders to define hiring strategies, candidate profiles, and interview processes. - Manage the candidate journey from sourcing handoff to offer stage, ensuring a seamless and exceptional experience. - Provide market intelligence, funnel metrics, and competitive insights to shape hiring strategies and influence decisions. - Collaborate with sourcers, coordinators, and recruiters to streamline processes and deliver a consistent, brand-aligned candidate experience. - Act as a strategic thought partner to leaders, scaling from concept to execution with data-driven insights, creativity, and sound judgment. Requirements - 5+ years of business or GTM recruiting experience in high-growth tech environments. - Strong ability to build and maintain relationships with leadership and hiring teams. - You thrive in a fast-paced, ambiguous environment with rapidly shifting priorities. - Expertise in designing new interview processes and hiring strategies from the ground up. - You adapt gracefully under pressure and navigate changing priorities with ease. - Ability to do more with less, you thrive in a scrappy environment and you find creative solutions to problems About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is: $165,000 - $210,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is looking for a Partner Marketing Manager to build and scale our global partner marketing strategy and programs. This role will work across strategic technology, channel, and ecosystem partners to develop joint go-to-market programs that increase awareness, engage target accounts, and contribute to the pipeline. This is a highly cross-functional role working closely with Growth, Field Marketing, Product Marketing, Sales, and our partner organizations. The ideal candidate is both strategic and hands-on—comfortable building the partner marketing framework while also driving campaigns, joint activations, enablement, and programs from concept through execution. What You’ll Do - Own and execute the global partner marketing strategy, aligned to SambaNova’s awareness, target-account, and pipeline goals. - Build integrated “Better Together” campaigns with strategic partners, translating joint value propositions into awareness and demand programs. - Develop joint go-to-market plans across digital, content, events, executive programs, ABM, and field activations. - Serve as the central marketing lead for SambaNova’s strategic partner relationships, coordinating priorities and plans across internal and partner teams. - Partner closely with regional Field + Partner Marketing teams to activate global partner strategies in North America, EMEA, and APAC. - Own and scale SambaAcademy partner enablement, ensuring partners have access to the training, messaging, content, and assets needed to effectively represent SambaNova. - Build a scalable partner marketing framework including joint planning, MDF, campaign execution, enablement, measurement, and reporting. - Identify opportunities to amplify SambaNova through partner channels, audiences, events, executive relationships, and ecosystems. - Work with Product Marketing and technical teams to translate partner integrations and technical differentiation into compelling joint stories and programs. - Establish KPIs and measure the impact of partner marketing on awareness, engagement, target-account penetration, and pipeline. What We’re Looking For - 6+ years of B2B marketing experience, with meaningful experience in partner, alliance, channel, or ecosystem marketing. - Experience developing and executing joint go-to-market programs with technology partners. - Strong understanding of integrated marketing across digital, content, events, ABM, field, and partner channels. - Ability to manage complex cross-functional and cross-company relationships and move programs forward in a fast-paced environment. - Strong program management skills with the ability to take initiatives from strategy through execution and measurement. - Comfortable working with technical products and translating complex technology into compelling partner stories and campaigns. - Data-driven mindset with experience measuring partner program performance and pipeline impact. - Experience in AI, infrastructure, semiconductors, cloud, or enterprise technology is strongly preferred. Base Salary Range: Base Pay Range $196,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

About the Role As a Hardware Security Engineer Intern, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities - Help design, prototype, and assess security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, working with components like BMCs, TPMs, secure boot chains, and device and workload identity systems. - Support secure platform lifecycle work such as device onboarding, provisioning, inventory, and configuration validation. - Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, or support incident investigations. - Prototype AI-assisted security tools for tasks like asset classification, anomaly detection, or detection-and-response workflows. - Research an emerging area such as confidential computing, remote attestation, or hardware roots of trust, and share your findings with the team. - Own a well-scoped project from start to finish with mentorship from experienced engineers, delivering clean, well-documented code and presenting your results at the end of the internship. Requirements - Bachelor’s degree (or equivalent) in Electrical Engineering, Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028 - Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics - Strong programming skills with a proficiency in Python or bash - Exposure to building AI-assisted applications Preferred Qualifications - Prior security engineering experience through internships, hackathons, or projects - Coursework, projects, research, or internship experience in hardware security, embedded security, platform security, computer architecture, or secure systems design About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details: Our internship program spans over twelve weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are May 18th to August 7th or June 15th to September 4th. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58. Our hourly rates are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is hiring a Senior SambaCloud Experience & Ecosystem Lead to make SambaCloud a coherent, recognizable, and trusted destination for AI builders and managed customers. You will own the SambaCloud brand experience, user journey, community and partner integrations, and cross-functional operating rhythm while partnering with Product and Engineering on the infrastructure that powers the service. About the Role This role sits at the intersection of Developer Relations, Product, Engineering, Brand, Community, cloud operations, and go-to-market. You will define how SambaCloud shows up—from identity and onboarding to playground workflows, APIs, integrations, sample applications, and high-visibility demos—and turn user and business needs into a prioritized experience roadmap. You will partner with the Product team on underlying platform and infrastructure priorities and ensure developers and managed customers have reliable paths to access and value. Responsibilities - Own the end-to-end SambaCloud experience across brand identity, information architecture, onboarding, playground workflows, APIs, model access, documentation, examples, and key user journeys - Develop and maintain a prioritized experience roadmap that connects developer, community, partner, managed-customer, brand, and demo requirements - Partner with Product and Engineering to translate experience goals into infrastructure, platform, security, reliability, and release requirements - Define and drive integrations that connect SambaCloud to strategic partners, developer tools, community programs, campaigns, events, and managed-customer workflows - Drive delivery planning across scope, milestones, quality, risks, dependencies, reviews, and escalation paths - Build a repeatable demo-readiness program covering environments, API access, model availability, sample prompts, applications, data, scripts, observability, fallback plans, and presenter handoff - Partner with Developer Relations, Product Marketing, Brand, Community, and Partner teams to turn priority use cases into polished, repeatable experiences for launches, events, customers, partners, and executive briefings - Represent the needs of developers and managed customers in cross-functional planning and ensure that access, onboarding, entitlements, support, and experience gaps are addressed - Define and monitor success metrics for activation, time to first successful request, engagement, integration adoption, demo reliability, issue resolution, and user satisfaction - Maintain a clear release calendar and readiness dashboard; communicate status, tradeoffs, risks, and decisions to technical and business stakeholders - Create lightweight playbooks, runbooks, and documentation that allow teams to deliver consistent experiences and demonstrations without relying on tribal knowledge - Evaluate build-versus-partner decisions and ensure all delivered work meets SambaNova’s standards for quality, security, maintainability, brand consistency, and user experience What We’re Looking For - 7+ years of experience in developer experience, technical product management, technical program management, cloud platforms, ecosystem programs, solutions engineering, or a related role - Strong understanding of APIs, cloud services, developer onboarding, model serving, and the workflows developers use to build AI applications - Demonstrated experience owning a digital product or platform experience across user journeys, brand expression, integrations, releases, and operational readiness - Experience coordinating complex technical delivery against clear milestones, acceptance criteria, and measurable outcomes - Track record of coordinating complex releases, integrations, or demos across engineering, product, operations, marketing, and customer-facing teams - Ability to test developer workflows hands-on, identify root causes, write clear requirements, and make practical prioritization decisions - Excellent program management, written communication, stakeholder leadership, and risk-management skills - High ownership and calm execution when timelines are tight and the experience must work Preferred Qualifications - Experience with AI inference platforms, OpenAI-compatible APIs, large language models, agentic applications, or model playgrounds - Experience owning developer portals, API consoles, SDKs, sample applications, credentials, usage visibility, or sandbox environments - Experience designing or governing brand and user experience across a developer-facing product - Familiarity with service reliability, incident workflows, observability, security reviews, and operational readiness for cloud products - Experience supporting managed enterprise customers, high-visibility product launches, executive demonstrations, developer events, or customer proof-of-concepts - Familiarity with delivery governance, acceptance criteria, change control, and performance reporting Why This Role Matters SambaCloud is where many developers, partners, and customers first experience SambaNova. This role will make that experience coherent from brand to infrastructure, connect it to the broader ecosystem, and ensure every important journey—from a first API call to a managed deployment or executive demo—is accessible, credible, and strong. Base Salary Range: Base Pay Range $196,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is hiring a Senior Analyst Relations Manager to build and scale a broad analyst relations program across the hardware, semiconductor, AI infrastructure, and enterprise technology ecosystem. This role will expand awareness of SambaNova, strengthen the company’s technical credibility, and ensure the analysts shaping market perception understand SambaNova’s products, architecture, customer value, and point of view. About the Role This role sits within Product Marketing and works closely with Product, Engineering, Sales, and executive leadership. You will set the analyst relations strategy and operating cadence, build durable relationships across the relevant analyst ecosystem, and create consistent opportunities for SambaNova leaders and technical experts to engage the market. The right candidate combines strong enterprise technology judgment with the ability to turn deep technical material into clear, evidence-based narratives that build awareness and credibility over time. Responsibilities - Build and execute a comprehensive analyst relations strategy spanning semiconductors, AI infrastructure, data center systems, cloud inference, enterprise AI, and adjacent markets - Map the broader analyst ecosystem, identify the voices and research agendas that matter to SambaNova, and develop thoughtful engagement plans - Build long-term relationships with analysts through briefings, inquiries, roadmap sessions, demonstrations, events, and ongoing follow-up - Create a consistent flow of technical proof points, customer evidence, product updates, and market perspectives that strengthen SambaNova’s credibility - Lead participation in relevant research, evaluations, and market-defining conversations, coordinating submissions, demonstrations, references, deadlines, and review cycles - Prepare executives and subject-matter experts for analyst interactions through tailored briefing decks, talk tracks, anticipated questions, and rehearsal sessions - Partner with Product, Engineering, Sales, and executive stakeholders to ensure analyst-facing narratives are technically accurate, consistent, and commercially relevant - Bring analyst feedback, market shifts, and competitive commentary back into product strategy, positioning, go-to-market planning, and executive decision-making - Track awareness, sentiment, share of voice, research coverage, relationship depth, and program impact; use the data to continuously improve the program - Manage analyst-firm relationships, subscriptions, contracts, budget, and internal access to research and inquiries What We’re Looking For - 7+ years of experience in analyst relations, product marketing, strategic communications, or a related enterprise technology role, including direct ownership of analyst programs - A strong understanding of the analyst ecosystem surrounding semiconductors, AI infrastructure, cloud platforms, data center systems, and enterprise technology - Fluency in technically complex B2B markets and the ability to build credibility with both technical specialists and business-focused analysts - Experience preparing senior executives and technical leaders for high-stakes external briefings - Excellent writing, presentation, program management, and stakeholder-management skills - Ability to translate technical depth, market context, and customer proof into a clear and credible point of view - High judgment, attention to detail, and comfort operating independently in a fast-moving environment Preferred Qualifications - Experience building or significantly scaling an analyst relations program at a growth-stage technology company - Established relationships with analysts covering semiconductors, AI infrastructure, cloud, data centers, enterprise AI, or adjacent markets - Experience leading a major market assessment, category-definition initiative, or research engagement from planning through publication - Experience using analyst insight to improve product strategy, competitive positioning, sales enablement, or launch planning - Familiarity with analyst relations measurement, research licensing, vendor contracts, and budget management Why This Role Matters SambaNova is defining a differentiated approach to AI infrastructure in a market where technical credibility and category awareness matter. This role will build the relationships and program needed to help the broader analyst ecosystem understand that differentiation, increase informed coverage, and strengthen SambaNova’s credibility with customers, partners, and the market. Base Salary Range: Base Pay Range $196,000 - $240,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is looking for a highly strategic and execution-focused Field & Partner Marketing Manager to lead regional field and partner marketing initiatives. This role is responsible for driving pipeline growth across a designated geography by aligning marketing investments with sales priorities, accelerating partner engagement, and delivering high-impact field programs. As the regional marketing leader, reporting to the VP of Demand and Field Marketing, you will serve as the primary marketing partner to the Area Vice President (AVP) of Sales and regional partner teams, owning the execution of integrated campaigns, executive events, partner co-marketing initiatives, and localized demand programs that contribute directly to pipeline and bookings targets. This is a hands-on, high-visibility individual contributor role designed for someone who thrives in a fast-paced environment and is passionate about translating business strategy into measurable revenue outcomes. What You'll Do Regional Demand & Pipeline Generation - Own the regional field marketing activations strategy and execution plan aligned to quarterly and annual pipeline goals. - Partner closely with Comms, Demand Generation, Marketing Operations, Product Marketing, and Digital teams to localize global campaigns and optimize regional performance. - Track, measure, and report on marketing contribution to pipeline, bookings, and ROI. Field Marketing & Executive Engagement - Plan and execute regional events, executive roundtables, customer workshops, and third-party sponsorships. - Develop account-based marketing (ABM) programs in partnership with Sales to engage strategic target accounts. - Support executive engagement opportunities, including customer meetings, industry conferences, and VIP experiences. - Ensure consistent follow-up and campaign orchestration before, during, and after field activations. Partner Marketing & Ecosystem Development - Lead regional partner marketing strategy across cloud, technology, channel, and strategic alliance partners. - Build and execute joint go-to-market campaigns, co-sponsored events, webinars, and content syndication programs. - Collaborate with partner account teams to maximize MDF investments and drive measurable pipeline outcomes. - Support partner enablement initiatives and help scale awareness of SambaNova solutions across the ecosystem. Cross-Functional Leadership - Act as the central marketing point of contact for regional Sales, Partner, and Business Development teams. - Partner with Marketing Operations to ensure accurate campaign tracking, attribution, and reporting. - Work closely with Corporate Marketing and Communications to amplify regional customer stories, announcements, and thought leadership. - Bring market insights and customer feedback back to Product Marketing and executive leadership to influence strategy. What We're Looking For - 8+ years of experience in B2B enterprise technology marketing, with significant experience in field marketing, partner marketing, demand generation, or integrated campaigns. - Proven track record of building and executing programs that generate measurable pipeline and revenue impact. - Experience partnering directly with enterprise sales organizations and regional leadership teams. - Strong understanding of account-based marketing, partner ecosystems, and enterprise buying motions. - Experience managing executive events, customer engagement programs, and strategic partner activations. - Analytical mindset with the ability to interpret campaign performance and optimize investment decisions. - Excellent communication, project management, and cross-functional collaboration skills. - Ability to work independently, manage multiple priorities, and thrive in a high-growth, high-accountability environment. Preferred Qualifications - Experience in AI infrastructure, cloud, semiconductors, enterprise software, or high-performance computing markets. - Familiarity with partner ecosystems including cloud providers, OEMs, systems integrators, and channel partners. - Experience working in a global organization with distributed sales and marketing teams. - Proficiency with Salesforce, marketing automation platforms, and modern marketing analytics tools. Base Salary Range: Base Pay Range £120,000 - £146,000 GBP Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Legal team We're building the infrastructure that democratizes access to intelligence. By serving state-of-the-art models to enterprises and advancing open source, we enable organizations to truly own their own intelligence. Our legal team exists to make that mission possible, responsibly and at scale, because we believe broad access to AI is one of the most consequential things we can build for society. Our legal team is defined by high integrity, high character, and high trust. We're low-ego, collaborative, kind, and supportive people who are genuinely excited to be part of a team. We win together or not at all. About the role As Contracts Manager, you'll be a foundational member of our growing legal team, owning the high-volume contracting that keeps the business moving. You'll draft, review, and negotiate the standard agreements that underpin our commercial and operational activity and operate with significant independence and judgment. This role initially reports to the General Counsel. What you'll do. - Draft, review, and negotiate a broad range of commercial agreements supporting Fireworks’ customer and procurement relationships. - Build and maintain scalable contracting and compliance frameworks to enable a growing legal team to keep pace with the business. - Partner closely with legal, finance, and business teams to drive agreements from request to signature. - Manage multiple contract workstreams in parallel under fast timelines while maintaining high quality. Minimum Qualifications - 10+ years managing commercial contracts in-house, at a law firm, or in a contracts or procurement function. - Strong hands-on drafting and redlining across a broad range of standard commercial contracts and ability to carry negotiations independently. - Exceptional organization, attention to detail, and the ability to manage high volume without dropping quality. - Demonstrated ownership of a contract lifecycle end to end, including post-signature obligation management - AI-forward, builder’s mindset, with a demonstrated ability to use AI tools to streamline daily workflows and accelerate efficiency. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Fireworks AI is an equal-opportunity employer. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role Reporting to the Head of Sales Strategy & Analytics, the Head of GTM Intelligence & Analytics owns how Fireworks sees its go-to-market. You define the metrics, build the dashboards, and lead the analyses that sales, finance and executive leaders rely on in QBRs, forecast calls, and Pipeline Council. You will lead a small team of two in the near term, work closely with Finance, Product and Data Engineering so that revenue, pipeline and product usage numbers are trusted and defined consistently, and personally lead the hardest analytical problems, such as churn analysis and propensity models. As Fireworks grows from a handful of sellers to a global field organization, the questions get harder and the decisions get bigger. This role makes sure leaders have the right answer, quickly. This is a player-coach seat. You are expected to build and review the work yourself while developing the people on your team. Consumption and hybrid commit + usage economics are core to how we sell and how our business grows, so the right candidate has hands-on experience analyzing usage-based or hybrid commercial models, not only license ARR. Responsibilities Metrics, Definitions & Dashboards - Own the definitions for Fireworks' critical GTM metrics (for example pipeline stages and conversion, bookings, ARR, consumption, churn, and net revenue retention), agree them with Finance, RevOps and the Product team (for example how product usage, adoption and consumption are defined), and keep them documented and versioned. - Build, or direct the team to build, the dashboards leaders use every week, with one agreed source for each number. - Retire conflicting reports and make it clear which numbers are official. Advanced Analytics & Modeling - Lead complex analyses end to end, including churn and retention analysis, propensity models (conversion, expansion, churn), cohort and usage-to-revenue analysis (working with Product on usage signals), and pipeline conversion and win-rate analysis. - Turn analysis into clear recommendations for sales, finance and executive leaders, and track whether they worked. - Establish standards for model validation, so leaders can trust and reuse results. Operating Cadence Readiness - Make sure the data and tooling behind QBRs, weekly forecast calls, and Pipeline Council are accurate, timely and repeatable. - Track forecast accuracy and pipeline coverage, and explain misses. - Reduce manual preparation by automating recurring packs and reports. Partnering with Finance, Product & Data Engineering - Work with Finance to reconcile bookings, ARR and consumption to the financial plan and reported results. - Work with the Product team to define product usage and adoption metrics (for example active usage, model and feature adoption, and the drivers of consumption), and connect them to pipeline, expansion and churn analysis. - Partner with Data Engineering on source-of-truth data models across CRM, billing/usage and roster/quotas, so calculations are reproducible and auditable. - Define data-quality checks and priorities, and escalate gaps with clear requirements. Team & AI-Native Analytics - Manage, coach and grow a team of two analytics managers/analysts, and hire as the team scales. - Set the bar for analytical quality, documentation and speed. - Use AI and agentic tooling in everyday analysis, and show the team how to do the same. Qualifications - 8+ years in analytics, with 4+ years in GTM, sales, or revenue analytics - Experience leading or coaching analysts, and comfortable being hands-on - Advanced SQL and BI/dashboarding skills, plus experience with statistical or predictive modeling (for example churn or propensity models) - Experience analyzing a usage-based or hybrid commit + usage business - Track record of defining metrics with Finance and Product, and working with Data Engineering on source-of-truth data - Experience supporting QBRs, forecast calls, board or executive reporting - Clear communicator who can explain complex analysis to executives and push back with data - BA/BS degree in engineering, statistics, finance, economics or other quantitative fields preferred Preferred - Experience at an AI/ML infrastructure, developer tools, or API-first company - Experience through a period of hypergrowth - Experience building a metrics or semantic layer, or modern analytics-engineering tooling - Hands-on experience building analysis workflows with AI or agentic tools - Familiarity with Salesforce, billing, and product usage data Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. We are evolving experimentation systems to help teams learn from product behavior and make better evidence-based decisions. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are looking for a Machine Learning Engineer to lead the technical direction for ML-powered experimentation and insights capabilities. You will build production systems that learn from privacy-protected product and experimentation data to generate evidence-backed insights and support decision-making, and help teams decide which ideas are worth testing live. This is an end-to-end, 0-to-1 role. You will work across ML modeling, retrieval and LLM systems, statistical methods, simulation, data and training pipelines, backend services, and user- and agent-facing product experiences. The hard part is not merely producing a plausible answer. It is making each insight and prediction traceable, calibrated, useful, and safe enough to influence real product decisions. Live experiments remain the source of causal validation. You will design systems that make uncertainty explicit, backtest against historical outcomes, compare predictions with online results, learn from misses, and abstain when the evidence is weak. You will preserve clear review, permission, and approval boundaries as automation becomes more powerful. You will collaborate closely with teams building ChatGPT, Codex, model measurement workflows, consumer products, Growth, business subscription experiences, developer products, and shared infrastructure. You will turn their most important learning and decision problems into general platform capabilities that can support the full company. In This Role, You Will - Set and execute the technical roadmap for Generative Insights and Predictive Experimentation, from early prototypes through production adoption. - Build cross-experiment learning systems that retrieve and synthesize historical experiments, detect recurring effects and segment behavior, reanalyze prior results when data or methods improve, and generate hypotheses with clear evidence and provenance. - Develop predictive models and simulation workflows, including simulation-based evaluation approaches, to estimate likely impact, affected segments, regression risk, and uncertainty before a full live experiment. - Create high-quality datasets and feature or retrieval pipelines from exposures, events, metrics, experiment metadata, and replay data, with strong lineage, freshness, privacy, and data-quality controls. - Establish rigorous evaluation through offline benchmarks, backtests, calibration, drift monitoring, prediction-to-outcome comparisons, and explicit failure or abstention behavior. - Turn models into durable product, API, and agent workflows that move from an insight to experiment design, approval-gated action, and measured learning. - Partner deeply with data science and product teams on experiment design, causal inference, sequential decision-making, variance reduction, and the boundary between prediction and causal evidence. - Build reliable services and intuitive workflows so sophisticated ML capabilities are understandable and useful to teams making high-stakes product decisions. - Provide technical leadership across engineering, product, data science, and research partners, and raise the bar for production ML quality across the platform. You Might Thrive In This Role If You - Have led ambiguous 0-to-1 production ML products where success was measured by better real-world decisions, not only offline model metrics. - Have strong hands-on experience across the ML lifecycle: dataset design, training or adaptation, evaluation, deployment, monitoring, and iteration. - Bring depth in one or more of LLM and retrieval systems, ranking or recommendation, forecasting or anomaly detection, causal ML or experiment analysis, or simulation. You do not need to have done all of them. - Have strong software engineering fundamentals and can build high-quality production systems in Python while working comfortably across data, backend, and platform boundaries. - Have a strong grounding in machine learning, statistics, computer science, or a related field through formal study or equivalent practical experience. - Understand experimentation and statistical reasoning, especially why predictive accuracy is not the same as causal validity. - Treat calibration, uncertainty, provenance, privacy, and human review as product requirements, not cleanup work. - Can translate ambiguous partner questions into a product and technical roadmap, and work well with product, data science, research, and infrastructure partners. - Enjoy building for internal power users and agents, and can make sophisticated ML capabilities feel clear and actionable. - Value in-person collaboration and want to help shape a growing Bellevue-based team. Location and Workplace This role is based in Bellevue, Washington. The team works in person and uses that time to move quickly, solve ambiguous problems together, and stay close to the product teams we support. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Solutions Architect supporting a dedicated national security mission program, you will be the customer's trusted technical advisor — helping them understand the value of Claude and how to successfully integrate and deploy it into their technology stack. You'll combine deep technical and cyber domain expertise with customer-facing skills to architect LLM solutions for complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. Key responsibilities - Serve as the dedicated technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption - Support the customer building with Claude Code, the Claude API, and Claude for Enterprise - Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases - Guide technical architecture decisions and integration into the customer's existing stack - Coordinate internally across Sales, Product, and Engineering to drive customer success - Create and deliver technical content from engineering deep dives to executive briefings - Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic’s Applied AI and Engineering teams Minimum qualifications - Active TS/SCI clearance with Polygraph - Prior experience working within US intelligence community agencies as a government civilian or cleared contractor - Experience in technical customer-facing roles (solutions architecture, sales engineering, or similar) - Exceptional ability to communicate technical concepts to diverse stakeholders, from engineers to executives - Hands-on expertise in one or more of the following domains: offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security), cryptography and cryptanalysis, intelligence analysis and ISR (all-source, SIGINT, GEOINT), mission and weapons systems (command and control, space, electronic warfare, autonomy), CBRN and nonproliferation, or accreditation of classified systems (RMF, ATO, cross-domain solutions). Preferred qualifications - 5+ years in Solutions Architect, Sales Engineer, Technical Account Manager or equivalent roles - Familiarity with common LLM frameworks and tools - Background in artificial intelligence, machine learning, or data science - Experience designing scalable cloud architectures and integrating with enterprise systems - Experience deploying and operating software in air-gapped or classified environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Brand Insights, Measurement Lead at Anthropic, you will strengthen the evidence that fuels our brand decisions: knowing whether marketing spend and effort is working, saying so clearly on a schedule to the people who need to hear it. Marketing Insights turns market, campaign and user data into decisions that product, marketing, comms and sales leadership can act on. You'll tell us, with data, whether awareness is turning into consideration, whether consideration is turning into pipeline, and where that chain breaks down for a given audience. This role sits at the intersection of human understanding, marketing science discipline and organizational influence. In this role, you'll own the team's recurring measurement readouts, including the Prosumer and B2B brand health tracker studies and the metrics, headwinds and tailwinds that show up in front of business leadership and in all-hands updates, keeping them accurate, current and easy to act on. You'll partner closely with your Marketing Insights teammates, Comms and data science on the brand-health dashboard, Brand & Integrated Marketing leadership, brand data science, research vendors, and cross-functional stakeholders across Enterprise Marketing, product marketing and finance. Responsibilities - Own the recurring executive and all-hands readouts that put key metrics, headwinds and tailwinds in front of marketing management and the broader team - Lead process ownership of the Prosumer and B2B brand health tracker studies, including managing the research vendor relationships that field them - Lead coordination across Comms, Marketing and data science on the brand-health dashboard, aligning all three groups on one consistent view of the data - Support media mix modeling, multi-touch attribution and incrementality analyses that inform how marketing budget and effort get allocated, moving the team past correlation to a defensible read on what's actually driving outcomes - Run best-practice pre- and post-campaign analysis on individual campaigns, covering creative, channel, audience, and timing effects, and turn each read into a specific change for the next campaign - Roll up campaign-level learnings into a recurring view for leadership: which channels, creative approaches, and audiences are outperforming over time, and where the team should adjust the playbook next - Build audience and funnel analyses that quantify how different audiences move, and relate to each other, from awareness through consideration to conversion, and what that means for where to invest - Audit how customer sentiment gets reported across the business and design a more efficient, consistent process - Manage the underlying data pipelines so that recurring readouts stay reliable and don't get rebuilt from scratch each cycle - Partner with Marketing Insights teammates to keep measurement process and research design in sync, including feeding into the Marketing Business Review scorecard process - Develop one defensible view from first-party behavioral data, campaign and media data, and survey or attitudinal research, being clear about what each source can and can't tell you on its own - Present findings to non-technical audiences, including marketing leadership, enterprise sales and finance partners, translating hedged results into clear recommendations You may be a good fit if you - Have a strategic orientation, strong curiosity for understanding what customers and users think and how to shift perceptions, and can use that to influence business and marketing direction - Are fluent in SQL and Python or R, and move comfortably between a quick exploratory pull and a more rigorous statistical model - Have designed or analyzed experiments (A/B tests, holdouts, lift tests) to establish a causal effect rather than settle for a correlation, and have applied regression, segmentation or other causal-inference methods to a real business question - Have run campaign-level measurement end to end, from a pre/post read on a single campaign to synthesizing learnings across multiple campaigns into a change the team acts on next time - Have built and maintained a recurring metrics report or dashboard that executives or cross-functional partners actually rely on, and kept it trustworthy over time - Can turn a hedged, caveated finding into a clear recommendation a non-technical stakeholder can act on, and know which caveat matters enough to keep in the headline - Start an analysis by pinning down the business question and the decision it needs to serve, not the method that's most interesting to run - Can reconcile data with no universal taxonomy across first-party, third-party, real-time and survey sources - Know when a directionally correct answer now beats a more rigorous one that arrives too late to matter - Work well across functions, building credibility with both technical partners and non-technical leadership - Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have - Experience with media mix modeling, multi-touch attribution or incrementality and lift testing specifically, rather than general-purpose analytics - Experience advising marketing stakeholders on experimental design for live campaigns (email, paid social), or measuring marketing performance across multiple markets - Familiarity with survey-based quantitative research (MaxDiff, conjoint, brand and sentiment tracking) alongside behavioral and usage data - Experience with a modern data warehouse (Snowflake, BigQuery) and a BI tool (Tableau, Looker, Power BI) - Prior experience in marketing, growth or brand analytics specifically, rather than data science in a general or product context - A graduate degree in statistics, economics or another quantitative field - A career trajectory spanning BI and dashboarding, applied causal inference and experimental design, and multi-market marketing measurement The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the role Enterprises are standing up AI factories: full-stack, on-prem and colocated deployments of compute, networking, storage, and models. Today they assemble that stack themselves and figure out the software layer on their own. We're hiring a Partnerships Lead to collapse it into a single, pre-integrated bundle. You'll assemble alliances across OEMs (Dell, HPE, and others), silicon (NVIDIA and others), packaged with Fireworks as the operating system on top. You'll own the bundle definition, joint pricing, go-to-market plan end to end, from first alliance conversation to repeatable revenue. The playbook doesn't exist yet. You'll write it: which OEM to lead with, how to structure the commercial stack, and what the joint reference architecture looks like. If you want to define the AI factory category rather than inherit one, this is the role. What you'll own Bundle construction - Build alliances across the stack - Define the reference bundle with Fireworks as the serving and orchestration layer - Validate joint architectures with Fireworks engineering - Structure and negotiate the commercial agreements Go-to-market and execution - Build and execute the joint GTM plan: ICP, field plays, targets - Enable field sellers on joint offering - Drive deals end to end with partner sellers and own the forecast You're a good fit if you have - 10+ years in enterprise infrastructure, with at least one joint offering you built and scaled - Key relationships inside at least two of: Dell, HPE, NVIDIA, AMD, or equivalent OEM - Understand the AI factory stack - Experience in integrated offerings (appliance or validated design programs) Nice to have - Background selling into on-prem or sovereign AI deployments, where the customer runs the hardware and the vendor runs the software - Familiarity with LLM inference economics: throughput per GPU, utilization, and why the software layer determines the ROI of the whole bundle Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. We've had several relevant publications, including: - Safety at every step - OpenAI GPT6 System Card - OpenAI Model Spec About the Role We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities. In this role, you’ll: - Develop model policies that guide safe and useful behavior. - Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training. - Work with research, engineering, and domain experts to support safe, reliable deployment. You might thrive in this role if you: - Bring relevant experience in AI safety, policy, or risk assessment. - Have strong judgment and can turn complex safety questions into clear, practical policies. - Have the technical fluency to work hands-on with model data and evaluations. - Are motivated by OpenAI’s mission and the responsible use of AI in safety-critical settings. Security Requirements Candidates must be eligible and willing to obtain and maintain a U.S. government security clearance. An active clearance is not required at the time of hire, and OpenAI will sponsor the clearance process. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About SpaceXAI SpaceXAI builds the vertically integrated stack for useful AI: models, the products people work in every day, and the compute underneath. We're Cursor + Grok as one company: Grok Build (Cursor) for engineering in real codebases, Grok Bot for autonomous knowledge work, and Grok when you want to steer the result. Same intelligence layer; not a coding-only tool company. We're a flat, talent-dense team that likes truth-seeking, sharp debate, and shipping. About the role This is a founding seat on our Scale team. You'll help define how SpaceXAI partners with thousands of customers at once: which accounts get a person, which get a program, and what great looks like for both. You'll cover a portfolio of fast-growing customers, from startups to established companies. About half your time goes to a named book of roughly 100 high-potential accounts, a quarter to a shared pool of accounts the team covers together, and a quarter to building programs that reach the entire portfolio. You're measured on retention and consumption across all of it. What you'll do - Own retention and consumption for ~100 named accounts, helping them get real value from Grok Build, Grok Bot, and the rest of the SpaceXAI stack, and partnering with Account Executives on renewals and expansion - Cover a shared pool of accounts alongside the team, stepping in where usage, risk, or opportunity calls for it - Build repeatable programs (workshops, office hours, onboarding, campaigns) that scale across the whole portfolio - Lead conversations with engineers, business teams, and executives about how AI changes the way they work - Use account health, usage data, and AI agents to decide where your time matters most - Bring the customer's voice back to Product and Engineering and help shape what we build You may be a fit if - You've helped build a scaled or digital customer motion from the ground up, or been an early member of a team that defined how it works - You've managed a large book of accounts in a post-sales role and can point to the impact, like growing usage, protecting revenue, or being recognized as a top performer - You come from SaaS, developer tools, AI, or a closely related space - You're technical enough to earn credibility with engineering teams, and just as comfortable with business users and executives - You know when to go deep on one account and when to solve a problem once for a hundred - You've built playbooks or tools other people rely on - You use AI in your own work every day

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance & Audit Programs runs the integrated audit across our frameworks and maintains the Common Control Framework, the single set of controls that the whole program is built on. This role sits in Audit & Assurance and owns the framework and the assurance view across every control domain. About the role As part of the Security Audit & Controls team, you will own the CCF across every control domain, from access and change management to logging, encryption, and people controls: which controls we have, what each one says, how each maps to the frameworks and commitments we hold, and whether each one is actually working. You'll work with control owners and GRC Partners to draft and validate control descriptions and activities that describe reality rather than policy intent, build the monitoring that shows operating effectiveness continuously instead of once a year, and drive what monitoring finds to closure with control owners. Building with Claude is a normal part of the job: drafting and mapping controls, testing evidence, and monitoring control health, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone who works well independently, writes clearly, and gets satisfaction from a control set that is accurate, tested, and trusted by auditors and engineers alike. Key responsibilities - Own the Common Control Framework: the canonical control set, its mappings to SOC 2, ISO 27001/42001, HIPAA, FedRAMP, and customer commitments, and the change process for adding, retiring, or rewording controls - Draft and validate control descriptions and control activities with control owners, so each control states who does what, how often, in which system, and what evidence proves it - Design and run continuous monitoring of control efficacy: define the metrics and automated tests that show operating effectiveness, tune out false positives, surface failures to owners before an auditor does, and build the controls maturity model that shows where each control domain stands and what it takes to move up a level - Verify remediation and carry it into steady state: GRC Partners lead remediation in their domains and control owners implement the fixes. This role advises on control design and implementation, confirms fixes against what the auditor actually asked for, and keeps one source of truth for control and finding status. Once a fix holds, it works with the partner to standardize the evidence pull and, where appropriate, automate it or build continuous - Map new frameworks and commitments onto the CCF as we commit to them, and support gap assessments when a new framework, certification, product, or entity comes into scope, using the CCF as the baseline and writing the requirements for each delta - Support the integrated audit and customer audits: readiness checks, walkthrough preparation, evidence request lists, and the readout of external findings back to GRC - Evaluate evidence reliability, including the completeness and accuracy of system-generated reports and AI-generated evidence, and set the standard for what audit-ready evidence looks like here - Build with Claude: automate control mapping, evidence testing, and monitoring, and verify machine-drafted control language before it becomes the record Minimum qualifications - Several years in IT audit, security compliance, or controls assurance, including hands-on ownership of a control framework or control library across more than one framework (for example SOC 2, ISO 27001, FedRAMP, HIPAA) - Working command of audit mechanics: scoping, walkthroughs, sampling, design versus operating effectiveness, deficiency evaluation, and evidence reliability - Experience writing control descriptions, control activities, and test procedures that other teams and external auditors relied on - Experience with continuous controls monitoring or automated evidence collection, whether you built it, ran it, or audited it - Enough technical fluency to read a runbook, a configuration, or a pipeline definition and judge whether it enforces what the written control claims - Clear writing, because your control language and status reports are what auditors, engineers, and leadership work from - Ability to get control owners and partner teams to prioritize and close work without having authority over them Preferred qualifications - Have designed or rebuilt a common controls framework and led the remapping of existing frameworks onto it - Have stood up continuous controls monitoring or automated evidence programs and can speak to coverage, false-positive rates, and what changed as a result - Have applied LLMs to assurance work, such as control drafting, framework mapping, evidence testing, or monitoring - Have defined or assessed controls for AI systems or agents operating in production, or for home-built internal systems - Have provided requirements for a homegrown GRC platform and worked with the engineers who build it You don't need to - Have done everything on this list. The scarce combination this role exists for is framework ownership plus the judgment to tell whether a control actually works - Write production code. The bar is fluency sufficient to read, query, and challenge - Hold every certification. CISA, CISSP, or similar are welcome and not required - Have prior AI-industry experience Logistics - Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. - Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. - Visa sponsorship: We do sponsor visas. However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. - We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Program Overview Many of the questions that will shape our future have no single checkable answer. Reasoning well about them, whether in law, policy, philosophy, economics, cognitive science, or AI safety itself, takes the kind of judgment experts spend years building. We believe frontier AI, developed safely, can become a real partner on these questions, but getting there means working closely with the people who know these fields best. This fellowship brings researchers and experts from philosophy, cognitive science, economics, policy, and law into Anthropic for four months to work alongside our research teams. Fellows pair deep domain expertise with our frontier models and internal tooling to evaluate, improve, and apply Claude's capabilities in their field. What to Expect: - A concrete, scoped project matched to your background, with mentorship from Anthropic researchers. - Access to frontier Claude models and internal evaluation tooling. - A cohort of incoming Fellows to collaborate with and a connection to Anthropic's broader research community. Compensation: $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities - Identifying key open problems in your field, assessing approaches to solving them, and using Claude to make progress on them. - Identifying grand societal challenges which the expertise of your field is crucial for addressing, and assessing Claude’s strengths and weaknesses in tackling them. - Designing evaluations and RL environments that test models in your field systematically, turning your expertise into working tests of how well Claude reasons in your field. - Team up with other Fellows in your field to build environments that push Claude on the hardest, most judgment-heavy problems your discipline has to offer. Minimum qualifications - Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters. - Hands-on experience using Claude and Claude Code in your day-to-day workflow. - Hold (or are completing) a PhD in philosophy, cognitive science, economics, policy or law, or have equivalent research experience. - Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results. - Existing authorization to work in the United States for the duration of the program. Preferred qualifications - Experience designing evaluations, benchmarks, datasets, or expert rubrics. - Demonstrated expertise in your field, shown through research, scholarship, or expert-level analytical writing. Representative projects - A philosopher building hard cases that require normative judgment in ethics or formal epistemology. - A cognitive scientist designing experimental-design and model-comparison tasks. - An economist writing modelling and identification problems with ground truth. - A policy scholar drafting regulatory and cost-benefit analysis tasks with expert rubrics. - A legal scholar building AI-policy-relevant law datasets. Logistics - Fellows - The program runs from January 12th to May 8th 2027 , and is full-time for the duration; some fellowships may be considered for an extension. - Applications are open until October 28, 2026 , and we plan to make offers by November 20th. Later stages will typically include a take-home exercise and conversations with our research team and potential mentors about your research interests and possible project directions. - We ask that all Fellows attend a one-week in-person orientation in San Francisco. - The default location is in San Francisco. We will consider remote engagements within the United States in certain circumstances. - We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the United States. - This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic's Commercial Legal team as a Technical AI implementation specialist, where you'll be responsible for leveraging Claude and other technologies to scale and increase efficiency of legal operations. You'll drive AI adoption across team workflows, optimize internal tooling, and lead cross-functional initiatives to enhance productivity. This role offers the unique opportunity to shape the future of legal operations through technology while working with Claude and other business critical systems. Key responsibilities - Implement AI-powered solutions to streamline contract review and redlining processes - Manage integrations between existing legal systems and AI tools - Develop automated self-service solutions for high-volume, low-touch contracting processes, including FAQ chatbots and guided workflows - Create AI-based tools for handling commercial contract diligence requests - Optimize contract management platforms with AI capabilities - Create and manage comprehensive program plans, including timelines, budgets, and resource allocation, to guide project execution - Build and maintain metrics dashboards to track efficiency improvements - Establish practical governance processes for AI use in legal operations - Coordinate with Engineering and Product teams on solution development - Identify and mitigate potential risks and issues that could affect program success, ensuring proactive problem-solving Minimum qualifications - Experience evaluating and implementing legal technology platforms such as contract management systems, workflow management systems, or document management tools - Show genuine curiosity about AI/ML applications and hands-on experience with LLM tools (especially Claude!) - Possess excellent problem-solving skills and can translate legal business needs into scalable technical solutions - Excel at cross-functional collaboration and can communicate effectively with both technical and legal stakeholders - Self-directed and can manage multiple technical projects simultaneously Preferred qualifications - At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams - Technical aptitude with system integration knowledge - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excellent verbal and written communication, analytical, collaboration, and interpersonal skills - Proven project management skills, including the ability to prioritize tasks, meet deadlines, manage multiple projects simultaneously, and deliver quality results - Collaborative team player mindset with genuine interest in technology development and AI, thriving in fast-paced environments Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 - $220,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month. You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI. Key responsibilities - Lead the revenue close for cloud service provider Marketplace within a listed company timeline. - Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments. - Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge. - Perform monthly and quarterly flux analysis and prepare flux decks for leadership. - Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting. - Serve as the primary contact for external auditors. - Review the work of accountants and contractors, set the close calendar, and keep close packages complete and audit-ready. - Own monthly and quarterly 3P revenue reporting for leadership and FP&A, by partner, model, product, region and customer. - Review partner usage, invoice, disbursement and fraud reports each month, and resolve data issues before close. - Serve as the accounting point of contact for the finance, engineering and product teams and drive reporting improvements that support an on-time close. - Apply ASC 606 to 3P arrangements, including principal-vs-agent, variable consideration and reseller arrangements. - Estimate and document reserves, including credit loss (ASC 326). - Assess the accounting for new 3P products, programs and billing changes, partnering with Technical Accounting on complex judgments. - Partner with the Engineering teams to automate manual close processes, including SQL-driven workbooks, automated reconciliations and system-generated journal entries. - Own 3P SOX controls, including design, documentation, gap remediation and audit evidence. - Partner with FP&A, Treasury, AR and business teams on forecasts, cash and partner disputes. Minimum qualifications - Have strong ASC 606 knowledge, especially principal-vs-agent, variable consideration, consideration payable to a customer, and consumption-based revenue. - Have owned a month-end close with tight deadlines and reviewed journal entries, reconciliations and flux analysis. - Have built revenue reporting from large, imperfect third-party data sets and reconciled it to the general ledger. - Have managed external partner relationships where you depended on their data, and pushed for fixes. - Have strong SQL skills (BigQuery or similar) and experience automating close workbooks or reconciliations. - Have designed or operated SOX controls and supported external audits. - Communicate clearly with accounting, finance, business and engineering teams. - Thrive in fast-paced, ambiguous environments where processes are still being built. Preferred qualifications - Have 10+ years of progressive accounting experience, including 3+ years managing revenue accounting or close teams. - A Bachelor's degree in Accounting or Finance; CPA or equivalent (ACA, ACCA). - Big 4 audit experience combined with industry experience at a high-growth tech or SaaS company. - Experience with cloud marketplace, reseller or channel revenue (AWS Marketplace, Google Cloud Marketplace, Azure Marketplace). - Experience with usage-based and subscription revenue models. - Hands-on experience with Workday Financials, NetSuite, Numeric, Hex or similar close and reporting tools. - Experience with IPO readiness. - Experience using AI tools to automate accounting and reporting work. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As an AI Deployment Manager (ADM) at SpaceXAI, you’ll own the post-sale journey for a portfolio of enterprise customers, driving adoption, retention, and expansion. You’ll help organizations successfully roll out Grok, Grok Build (Cursor), Grok Bot, and Grok APIs and evolve how they work with AI across knowledge work and coding. You’ll operate at the center of each account, partnering with developers, admins, and executives while working closely with Sales, Field Engineering, Product, and Support. You’ll shape rollout strategy and influence SpaceXAI’s roadmap priorities through customer insight. Success is measured by customer retention, product adoption, and revenue expansion. What you’ll do - Manage a book of business with our top enterprise customers, owning the long-term success of each account - Engage CTO / VP / SVP Engineering stakeholders to demonstrate ROI and guide AI-driven organizational change - Lead enterprise rollouts end-to-end: onboarding, enablement, internal champions, and scaled adoption - Turn high-impact use cases into durable, repeatable workflows across teams - Monitor account health and usage data to drive renewals and expansion with AEs - Represent the customer internally, synthesizing feedback and influencing product priorities You may be a fit if - You’ve worked at the intersection of business and technology and thrive in customer-facing roles - You can translate customer needs into clear technical plans and measurable outcomes - You understand modern engineering and knowledge-work orgs, the SDLC, developer and knowledge-worker workflows, and tool adoption - You communicate comfortably with multiple functions around an enterprise including developers and senior executives - You’re analytical and operational, using data to prioritize and drive action - You’re already a power user of Grok, Grok Build (Cursor), Grok Bot, or Grok APIs (or modern AI tools for knowledge work and coding) with strong opinions about what great looks like (big plus) - Speak fluent Japanese and business level English

About the team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments and other OpenAI products worldwide. We work across the full funnel—from awareness and acquisition through activation, retention, and expansion—using experimentation, data science, machine learning, and product engineering to help more people discover and realize durable value from OpenAI’s products. Our team partners closely with Product, Engineering, Data Science, Design, Finance, Lifecycle, and Growth Marketing. We move quickly, test rigorously, and hold a high bar for measurement, privacy, reliability, and user trust. About this role: We are looking for a Machine Learning Engineer to build the models and decision systems that optimize paid marketing investment for ChatGPT and other OpenAI products. You will develop budget allocation and control algorithms that determine where to invest, how quickly to spend, and how to adjust as performance changes. The challenge is to make reliable decisions from noisy, delayed, and incomplete signals. You will combine machine learning, optimization, and experimentation to improve incremental growth and long-term user value within budget and efficiency constraints. You will own this work from problem formulation and prototyping through deployment, evaluation, and ongoing operation. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to eligible employees. In this role, you will: - Build budget allocation algorithms. Decide how to distribute investment across channels, campaigns, and markets using estimates of marginal returns, while accounting for diminishing returns, uncertainty, and business constraints. - Develop spend pacing and adaptive control systems. Adjust budgets and spending rates as performance changes, balancing responsiveness with stability when feedback is delayed or noisy. Build in spend limits, monitoring, and safe fallback behavior. - Model marketing response and user value. Develop forecasts and models of conversion, long-term value, and saturation that help determine where the next dollar can have the greatest impact. - Evaluate decisions rigorously. Use simulations, backtesting, and online experiments to test allocation and control policies. Partner with Data Science to measure incrementality and validate whether offline improvements translate into better investment outcomes. - Own reliable production systems. Build data pipelines, training and inference workflows, and integrations that turn model outputs into budget decisions. Establish data-quality checks, monitoring, and retraining with thoughtful treatment of privacy and consent. - Turn business goals into optimization problems. Partner with Growth Marketing, Data Science, Engineering, and Finance to define objectives and constraints, communicate tradeoffs, and use evidence to improve investment decisions. - Help build a diverse and inclusive culture where people feel welcome, challenge assumptions, and collaborate with candor and respect. You might thrive in this role if you: - 5+ years of experience as a Machine Learning Engineer, Applied Scientist, Data Scientist, or in a comparable quantitative engineering role, or an equivalent record of impact. - Experience building and operating production ML or quantitative decision systems, from problem formulation and data pipelines through deployment, experimentation, and monitoring. - Strong software engineering skills, proficiency in Python and SQL, and hands-on experience with ML frameworks and large-scale data systems. - Strong foundations in machine learning and statistics, with experience applying optimization or control methods to decisions under uncertainty. - Experience evaluating models or algorithms with noisy, delayed, or incomplete data, and the judgment to balance model quality, causal impact, and operational reliability. - The ability to turn ambiguous goals into focused experiments, interpret mixed results, and communicate clear decisions with technical and non-technical partners. - A collaborative working style and a commitment to deploying AI responsibly, in service of OpenAI’s mission to ensure that general-purpose artificial intelligence benefits all of humanity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

E

Senior Tools Programmer, UI & AI Workflows

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of programming experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a senior Tools Programmer to help build the next generation of UI tooling for users and AI-powered agentic workflows (tools that let AI agents assist with and automate UI creation, iteration, and debugging). You'll shape the systems and frameworks that millions of creators rely on, from WYSIWYG editors to the APIs and runtime UI capabilities used to ship games and tools. In this role, you will - Design, build, and integrate AI-powered tools and frameworks for UI authoring, iteration, and debugging - Own and evolve the UI tech codebase used to build tools and in-game UI in Unreal Engine - Set technical direction for UI tooling and mentor other programmers - Collaborate across disciplines to identify improvement areas, gather feedback, and design solutions for developer needs - Profile and resolve performance and memory issues in UI systems - Work with Epic's internal teams and Unreal Engine licensees to help them solve UI challenges What we're looking for - Strong tools-programming background with experience building tools that improve development workflows in games or other fields - Deep expertise in the UI domain (UI frameworks, runtime UI engines, and editor/WYSIWYG tooling) - Excellent C++ skills and experience working in a large codebase - Some hands-on exposure to AI-powered or agentic workflows, whether through work, courses, or personal projects - Strong written and verbal communication skills in English - Experience with Unreal Engine is a plus - Experience with Slate and/or UMG is a plus - Shipped title experience in games or real-time applications is a plus This role is open to multiple locations in North America (including CA, NYC, & WA). Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). New York City Base Pay Range $172,736 - $253,347 USD California Base Pay Range $190,010 - $278,682 USD Washington Base Pay Range $172,736 - $253,347 USD ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

C

Data Scientist

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location - Bengaluru, India About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for an experienced data scientist to join our Bangalore team and help scale the next generation of our AI/ML models. In this role, you will train predictive models and the workflows behind AI-driven applications, Agents, Chatbots that power teams across the company, including go-to-market, engineering, and product. Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping requirements and designing systems to implementation, deployment, and long-term ownership. You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. What you'll do - Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment. - Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality. - Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals. - Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner. - Define, implement, and train statistical, machine learning, deep learning and generative AI models. - Use software engineering best practices to publish model scores/insights/learnings at scale within the company. - Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends. - Active role in hiring, growing, and mentoring the data scientist team in Bengaluru. Examples of desirable skills, knowledge and experience - Bachelors or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields. - 5+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams). fast-growing SaaS business based company is preferred. - Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth) - Strong experience in scientific computing using Python - Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc. - Experience working with and processing structured, unstructured, and semi-structured data. - Strong cross-functional collaboration experience with data engineering and data analysts teams within the function. - Proven track record of applying data insights and machine learning in order to address business needs and drive revenue. - Proficiency in large language models and the frameworks (Langchain, Langgraph, etc.) necessary for implementing GenAI applications, such as AI Agents, chatbots and related use cases. - Strong communication and presentation skills catered to different audiences within the company. - Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs. - Experience in hiring data scientists and establishing team best practices is preferred. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

D

Regional Manager, Sales Engineering - AI Accounts

Negotiable

As a Regional Manager, Sales Engineering, you will lead a team of Sales Engineers and frontline leaders, driving technical execution, operational excellence, and team development across your region. You’ll act as a force multiplier by owning team performance, shaping execution standards, and partnering closely with Sales leadership to influence strategy, improve outcomes, and scale impact beyond individual deals. What You’ll Do: - Lead, coach, and develop a team of Sales Engineers, driving performance, engagement, and long-term career growth through regular feedback and structured development - Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities - Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team - Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression - Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating ramp through structured onboarding and enablement - Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory - c cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience - Drive operational excellence across the region by improving processes, maintaining data quality, scaling evaluation frameworks, and contributing to initiatives that improve team effectiveness and business impact Who You Are: - 3+ years of experience leading Sales Engineers and/or frontline leaders in a customer-facing technical organization with proven ability to manage team performance, develop team members, and scale high-performing teams - 7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role - Proven ability to partner with senior Sales leadership on regional strategy, long-range planning, and forecast alignment as a strategic peer - Ability to operate at both strategic and operational levels, balancing multi-quarter planning with day to day team execution and priorities - Strong cross-functional collaborator with the ability to influence across teams and at senior levels - Background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability - Demonstrated capability of utilizing AI tooling and scaling it - Growth mindset of embracing change and being curious - Willingness to travel as needed to support customer engagements Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - Best-in-breed onboarding - Generous global benefits - Intra-departmental mentor and buddy program for in-house networking - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $150,000 - $200,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

C

Senior Software Engineer, Agentic Commerce

€66,000 – €91,000

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, or London (Hybrid) About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable , powering the future of machine-to-machine commerce. Here at Cloudflare, agentic commerce is a core part of our vision for the Agentic Internet . As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We build tools that make the new internet payable by giving our users the ability to monetize access to their content, data, services, products, and outcomes across the Internet, regardless of where they are hosted. Building these capabilities requires solving complex engineering problems across high-throughput web infrastructure, low-latency transaction processing, usage metering, outcome verification, digital wallets, and emerging agentic payment protocols (such as x402, WBA, ACP, and UCP). We bridge mainstream fiat commerce rails with decentralized protocols, enabling micro-payments at Internet scale. We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the Role We are looking for a Senior Software Engineer to serve as an expert and technical leader on our Agentic Commerce team. In this role, you will define the architecture, build core systems, and establish technical standards powering machine-to-machine payments, metering, and monetization across Cloudflare's network. As a Senior Engineer, your impact extends beyond individual features. You will shape product and engineering roadmaps by partnering directly with customers, product managers, and across Cloudflare teams. You will write architectural specs that guide engineers inside and outside the team, build systems that reduce complexity for others, and lead complex incident responses. You will be a prime reviewer for large systems, define core product KPIs, and mentor engineers across the organization to elevate our collective engineering practice. What You'll Do - Design and build resilient, low-latency systems and core architectures that make web resources Payable for autonomous agents using emerging protocols (x402, WBA, ACP, UCP). - Write technical specs (RFCs) and architecture designs that encompass deliverables for developers both within the team and across other Cloudflare engineering groups. - Meet directly with customers and Product Management to clarify requirements, define actionable KPIs, and translate business needs into scalable architectural solutions. - Architect services to reduce code complexity for the team, ensure seamless recovery from internal and external failures, and improve overall system health observability. - Lead complex incident responses, retrospectives, and root-cause analyses while driving initiatives that proactively prevent customer escalations and reduce system alerts. - Debug and resolve high-complexity issues spanning multiple teams, services, and protocols, using these opportunities to teach others how to handle similar challenges. - Actively mentor engineers, improve engineering and interviewing processes, conduct high-impact spec and code reviews, and share knowledge through technical talks and writings. Examples of Desirable Skills, Knowledge, and Experience - Deep software engineering and distributed systems expertise with a track record of architecting, building, and operating high-throughput, low-latency production services. - Broad experience with HTTP, API design, payment protocols/rails, web security, and cryptographic authorization mechanisms. - Demonstrated experience defining product KPIs and translating complex customer and product requirements into clear architectural roadmaps. - Proven track record of debugging complex distributed system failures that span multiple teams and systems, with a focus on systemic remediation. - Strong history of technical mentorship, leading incident retrospectives, and driving process improvements inside and outside your immediate team. - Ability to rapidly prototype, evaluate deep architectural trade-offs, and establish design patterns in an emerging technical domain. - Excellent technical writing and communication skills, with experience drafting RFCs and specifications consumed by multiple engineering organizations. Bonus Points - Fluency in Rust (especially async Rust) or TypeScript/JavaScript edge runtimes (e.g., Cloudflare Workers, Durable Objects, KV) at system-architectural scale. - Deep knowledge of emerging agentic payment protocols (x402, A2P, ACP, UCP, Web Bot Auth) or digital wallet architectures. - Experience architecting high-precision event metering pipelines, usage-based billing engines, outcome verification systems, or revenue attribution tools. - Experience with smart contract bridges, cryptography (public-key encryption, signatures, hashes), or hybrid fiat/crypto payment infrastructure. - Active contributions to open-source payment systems, agent protocols, web standards, or distributed systems projects. - Experience training interviewers, closing candidates, or guiding company-wide technical standards. Compensation Compensation may be adjusted depending on work location. ● For Portugal based hires: Estimated annual salary is between €66,000 - €91,000. - The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

C

Software Engineer, Agentic Commerce

€54,000 – €75,000

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, or London (Hybrid) About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable , powering the future of machine-to-machine commerce. Here at Cloudflare, agentic commerce is a core part of our vision for the Agentic Internet . As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We build tools that make the new internet payable by giving our users the ability to monetize access to their content, data, services, products, and outcomes across the Internet, regardless of where they are hosted. Building these capabilities requires solving complex engineering problems across high-throughput web infrastructure, low-latency transaction processing, usage metering, outcome verification, digital wallets, and emerging agentic payment protocols (such as x402, WBA, ACP, and UCP). We bridge mainstream fiat commerce rails with decentralized protocols, enabling micro-payments at Internet scale. We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the Role We are looking for a Software Engineer to join our Agentic Commerce team to build the core systems, protocols, and customer-facing tools powering machine-to-machine payments, metering, and monetization. In this role, you will design and ship scalable software across edge infrastructure, transaction engines, protocol layers, and developer tooling (such as our Monetization Gateway). You will work on cutting-edge standards, cryptographic authentication, and commerce controls that enable businesses to define pricing terms, authenticate agents, verify outcomes, and manage agent-generated revenue streams. What you'll do - Design and ship production-ready, low-latency services that make web resources Payable for autonomous agents using emerging standards (x402, WBA, ACP, UCP). - Build high-precision systems for usage metering, pricing definition, outcome verification, and value attribution tailored for agentic workflows. - Build secure protocols and capabilities for authenticating and authorizing buyers, sellers, and autonomous agents across host-agnostic endpoints. - Develop capabilities and APIs that give businesses granular visibility, telemetry, and control over agent-generated revenue, billing, and settlement. - Build resilient bridges between mainstream fiat commerce rails, digital wallets, and decentralized/cryptographic payment protocols for Internet-scale micropayments. - Write clean, secure, well-tested code, maintain strict accounting/financial precision, and advocate for high reliability, security, and low-latency performance. - Partner with software engineers, researchers, product managers, design engineers, and cross-Cloudflare stakeholders to take capabilities from concept to production. Examples of Desirable Skills, Knowledge, and Experience - Strong software engineering and distributed systems fundamentals. - Experience building and operating reliable, high-throughput, low-latency production services. - Solid understanding of HTTP, APIs, payment protocols/rails, web security, or cryptographic authorization. - Hands-on experience or deep interest in payment systems, usage metering, billing engines, digital wallets, or machine-to-machine interaction protocols. - Ability to rapidly prototype, evaluate architectural trade-offs, and ship solutions in a fast-moving, emerging technical domain. - Strong written and verbal communication skills. Bonus Points - Fluency in Rust (with a big plus for experience in async Rust) or TypeScript/JavaScript edge runtimes (e.g., Cloudflare Workers, Durable Objects, KV). - Experience with emerging agentic payment protocols (x402, A2P, ACP, UCP, Web Bot Auth) or digital wallet architectures. - Experience building high-precision event metering pipelines, usage-based billing engines, outcome verification systems, or revenue attribution tools. - Experience with smart contract bridges, cryptography (public-key encryption, signatures, hashes), or hybrid fiat/crypto payment infrastructure. - Open-source contributions to payment systems, agent protocols, web standards, or distributed systems projects. - Proven track record of debugging and resolving performance, concurrency, or transactional correctness bottlenecks. Compensation Compensation may be adjusted depending on work location. ● For Portugal based hires: Estimated annual salary is between €54,000 - €75,000. - The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

F

Machine Learning Engineer

Negotiable

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Machine Learning Engineers to join Flo Health. You will be developing groundbreaking features that leverage our medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of our users’ needs. If you’re passionate about technology, especially advancements in generative AI, and driven by delivering value to users, we would love to hear from you! Your Experience Must have: - 4+ years of professional experience in the field of machine learning - Demonstrated success in building and deploying large-scale machine learning models; experience with large-scale LLM applications is a bonus - Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML/LLM pipelines - Strong Python programming skills for efficient model development and deployment - Experience with both traditional ML and modern LLM frameworks - Understanding of the entire ML/LLM development process, including CI/CD, version control, testing, MLOps/LLMOps, and agile methodologies - Experience in building and managing data pipelines using tools like Apache Spark - Excellent communication skills and ability to collaborate with diverse teams - Commitment to responsible AI practices, including fairness, accountability, and transparency Nice to have: - Advanced degree in Computer Science, Mathematics, or a related field - Familiarity with statistical and measurement fundamentals and running and evaluating AB tests - Data visualisation skills - Experience in the MedTech domain What you'll be doing You'll be responsible for: - Explore, develop and test complex ML/AI systems to improve female health - Work with state-of-the-art technologies, such as most advanced LLMs and Generative AI approaches, to build solutions that are medically safe and work at scale - Work in a fast-paced environment to quickly build and validate product hypotheses, taking end-to-end ownership of ML/AI products - Build the future-proof infrastructure for serving Gen AI features at Flo, bringing our AI vision and strategy to life - Constantly improve our technical capabilities by researching and implementing best practices in the context of the fastly evolving space of LLMs - Work in a cross-functional setup alongside other engineering (ML, Backend, QA), product, and analytics teams Annual Salary Range (ranges may vary based on skills and experience) £130,000 - £180,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: - Competitive salary and annual reviews - Opportunity to participate in Flo’s performance incentive scheme - Paid holiday, sick leave, and female health leave - Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents - Accelerated professional growth through world-changing work and learning support - In-person collaboration and work in a hybrid model, with 3 days per week spent in the office - 5-week fully paid sabbatical at 5-year Floversary - Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

M

Conversational AI & UX/Product Copywriter (Contrac...

Negotiable

Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife — improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn more at mavenclinic.com An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: - TIME 100 Most Influential Companies (2023, 2026) - Fortune Change the World (2024) - CNBC Disruptor 50 List (2022, 2023, 2024) - Fortune Best Workplaces for Millennials (2024) - Fortune Best Workplaces in Health Care (2024) - Fast Company Most Innovative Companies (2020, 2023) - Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) About the Role: We’re looking for a conversational AI UX writer and voice partner who can define what Maven’s product and AI agents sounds like. You’ll be the expert eye on the language across our product—from navigation to CTAs, clinical modules to our AI agents: calling out when copy could be clearer or more compelling, or an agent response is too clinical, emotional, or complex. You’ll also help shape how we position and showcase AI in the product, including how we educate members about it and how we write disclaimers. Just as importantly, you’ll write and refine UX copy for core member experiences, such as care plan screens and AI agent intro and onboarding screens. This is a hands-on, high-autonomy role for someone who has worked in both UX product copy and conversational AI and understands the nuances of prompting and its limitations. You will partner directly with Engineering, who owns prompts and configuration, as well as Clinical and Product to bring a single, consistent point of view on voice, tone, taxonomy and language, and to hold a high bar for usability, clinical integrity, clarity, and the right amount of empathy in a health context. This position is expected to last 3 months, with the potential to extend based on business needs and fit. The expected commitment is 20 hours per week. What You’ll Do: AI voice, tone & language - Review real AI agent conversations and give expert feedback on tone, emotional register, reading level, and word choice (e.g., “this is too emotional,” “let’s use simpler words to explain this,” “we missed a chance to be more empathetic”) - Define and champion what AI at Maven sounds like, translating our brand voice into clear language principles that work within the realities and limits of LLM-generated responses - Synthesize voice and language feedback coming from many places (Clinical, Product, Engineering, Brand, coaches) into a clear, prioritized set of themes, and act as the decision-maker when the team needs one voice - Work with Clinical and Engineering to find conversations where a theme went well and where it didn’t, workshop them with users, and distill the findings into what Engineering needs to improve prompts and evaluations (Engineering owns prompts and configuration) - Advise on the anatomy of agent responses (e.g., when to offer options, when to ask a follow-up question, how to structure a reply) and recommend patterns for Engineering and Clinical to implement and approve - Partner with product, engineering, clinical, and legal/compliance teams to translate requirements into clear language guidance Product & UX copy, including AI positioning - Position how we showcase AI in the product, including how we introduce AI to members, how we handle education, and how we write disclaimers and expectation-setting language - Write and refine UX copy for in-product experiences such as care plan screens, AI agent intro and onboarding screens, navigation and CTAs, empty and error states, and in-app education - Craft language that is empowering and action-oriented, balancing clinical accuracy and compliance with a human, non-alarming Maven-branded tone - Work within design systems and with product designers to balance copy density, hierarchy, and usability - Name products, features, programs, and agents as needed, using a structured approach to generating, screening, and recommending names with rationale Cross-functional collaboration - Work closely and directly with the Member Copy, Comms & Content team, clinicians, product managers, designers, and engineers - Expected to attend weekly check-in meetings; as well as brainstorm sessions as needed - Document your approach (voice and tone principles, language patterns, conversation theme summaries, naming frameworks) and share a summary of what changed whenever updates go out, so the team can continue to build on it What You’ll Bring: - 5+ years of experience in UX writing or product copywriting, plus direct experience in conversation design or LLM-powered AI products, with a strong online portfolio included in your application - Experience working within AI (e.g., conversational AI, virtual assistants, or LLM-powered products), with a strong understanding of how LLM agents are built and evaluated to work directly with Engineering on feedback - Ideally have direct experience in healthcare AI or digital health, including working alongside clinical stakeholders and legal compliance - Experience reviewing real conversations or user feedback and distilling them into clear themes and recommendations that engineering teams can act on - Exceptional writing and editing instincts, especially for sensitive, emotional, or clinical subject matter, including calibrating empathy, tone, and reading level - Experience applying and evolving brand tone & voice guidelines for product/UX copy and AI/agent conversation - Ability to synthesize feedback from many stakeholders (clinical, compliance, product, engineering) and drive to a single point of view without losing clarity or voice - Naming experience (product, feature, or program naming), including a structured approach to generating, screening, and recommending names as needed - Comfort working independently, managing your own time within a part-time schedule, and communicating progress clearly - Strong judgment about when AI should answer, defer, or escalate, with help from the internal team Engagement Details The compensation for this role is $90-100 per hour for 20 hrs a week. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. - Time commitment: 20 hours/week with weekly syncs - Duration: 3 months, with potential to extend based on needs and fit - Deliverables (examples): A documented voice and tone framework defining what AI at Maven sounds like; synthesized themes and recommendations from conversation reviews, with examples of what worked and what didn’t, for Engineering and Clinical; guidance on AI education and disclaimer language; final UX copy for assigned experiences This role requires active work authorization in the US. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: - Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics. - Whole-self care through wellness partnerships - Hybrid work, in office meals, and work together days - 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+) - Annual professional development stipend and access to a personal career coach through Maven for Mavens - 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g jsmith@mavenclinic.com). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: security@mavenclinic.com . For general and additional inquiries, please contact us at careers@mavenclinic.com .

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Go-to-Market Recruiter

$165,000 – $200,000

About the Role We are seeking an experienced GTM Recruiter to partner closely with our GTM leadership team and drive a best-in-class hiring experience across our go-to-market org. The ideal candidate will have a proven track record as a full-cycle GTM recruiter in high-growth environments, with deep experience hiring Account Executives, Customer Success Managers, Support, and the broader sales team. Success in this role requires strong stakeholder management skills, creative AI-augmented sourcing strategies, and the ability to deliver high-quality hires in a fast-paced startup setting. Beyond the expected; this role requires both a superior level of operational wizardry; and a mastery of storytelling, steeped in a comprehensive understanding of the AI market and the GTM talent landscape. You won't just keep pace with how AI is reshaping recruiting, you'll be the one putting those tools to work, using them to find signal others miss and to move faster than the market. What You'll Do - Own full-cycle recruiting in support of our Head of Sales, Enterprise AEs, sales leadership hires, and adjacent GTM roles as needed - Partner closely with GTM hiring managers as their go-to talent advisor through weekly syncs, candid pipeline reviews, and honest perspective on candidates and the market - Develop and execute innovative sourcing strategies, leveraging AI tools to surface, engage, and attract top GTM talent at scale - Articulate Perplexity's mission, product, and trajectory in a way that wins candidates against competing offers from later-stage companies - Negotiate and close with precision in a market where every strong candidate has competing offers on the table - Analyze recruiting metrics and refine processes, using AI to turn data into faster, smarter hiring decisions - Stay ahead of industry trends, emerging AI recruiting tools, and best practices in GTM recruiting What You Bring - 4+ years of full-cycle GTM recruiting experience, with deep Enterprise Sales hiring under your belt - Experience working at a high-growth startup - Track record of being the go-to recruiter for a sales leader — someone who trusted you with their most important hires - Hands-on experience using AI tools to enhance sourcing, screening, or candidate engagement - Fluency with varied ATSs (Ashby preferred) - Strong analytical and data-driven decision-making skills - Proactive, flexible, with excellent communication and interpersonal skills - Ability to thrive in a fast-paced, rapidly changing environment

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Talent Sourcer, South Korea (Contract)

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As our first sourcer in this region, you will play a meaningful role in building and scaling Mistral in Korea. You will identify and attract top Technical talent in the Korean market, ranging from ICs to CTOs and Research leaders, feeding back market knowledge and create a powerful Talent flywheel for Mistral. What you will do - Identify and attract top Applied AI and Applied Science Talent for Mistral, with a systematic approach to target the most relevant startups, tech companies and competitors - Source through comprehensive bools but also leverage your networks with the end outcome of accelerating top of funnel with high quality Talent - Draft highly effective, personalized outreach that resonate deeply with ideal candidate profiles - Collaborate closely with the APAC TA team and hiring managers, to refine and iterate sourcing strategy About You - Master sourcer with 5+ years of relevant experience recruiting top Tech Talent in South Korea - Passionate, obsessive and geeky about sourcing as a craft - Access to networks that you can leverage on day 1 to fulfill critical business needs - Collaborative, curious with an insatiable appetite for learning - High learning agility to ramp up and high ownership to drive outcomes - Creative and entrepreneurial with ideas on sourcing Talent - Fluent in English and experience recruiting internationally - Ideally, proficiency with Ashby, LinkedIn Recruiter, and AI tools (Vibe, Claude) What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .