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Location: San Francisco, CA 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 Anthropic's New Markets and Monetization team exists to bring transformational AI to every business. Model capabilities are compounding, and the Claude Platform is how businesses build with our models. Our job within the Claude Platform is to make sure that every industry, not just software, can build on frontier AI with our APIs and that everyone who builds on Claude prospers by it. The work falls into two pillars that reinforce each other. Verticals: identifying and building for the next API markets. Monetization: the commercial machinery that lets the platform do business anywhere, with anyone: a single way for usage that flows through partners, resellers, and other platforms. We're hiring the founding product managers onto this team, and this posting covers all of them. You will own one of the areas below outright, work day to day with a dedicated engineering lead and designer, and be measured on numbers that are company-level goals for the half. Almost none of this exists yet, so most weeks you will be the person defining the problem rather than receiving it. Key responsibilities Partner and platform billing. How usage that reaches Claude through a partner, reseller, or another platform is metered, attributed, and billed, and the program terms that go with it, so indirect volume can grow without our risk growing with it. Spend observability and controls. Giving enterprise buyers a precise view of what they spend and where, and turning that into limits and controls they can enforce, including programmatically. One account, and the startup path built on it. One login and one wallet across the API and Claude's subscriptions, so a builder's first commit, first production call, and first invoice are on a single plan. A vertical. The platform strategy for a particular industry: what builders there need that the platform doesn't yet do, which bets to make, and shipping them with the vertical's own product and go-to-market partners. Whatever your focus, you will: Build on primitives owned by the Billing Platform and Auth & Identity teams, and ship with Growth, Go-to-Market and Startups, Legal, Finance, and Data Science Structure the commercial terms yourself, whether that's pricing, revenue attribution, or partner and startup program terms, with Finance, Legal, and Business Development Talk to every side of the ecosystem, from enterprise buyers and startup builders to the partners that resell or embed Claude and the industry customers we're building for, and turn it into a roadmap where each new participant makes the platform more valuable to the rest Own the team's outcome metrics: the share of the platform's business outside coding, new startup revenue, volume unified across the API and Claude's subscriptions, and the volume partners book on Claude, and make sure the instrumentation exists to know whether what you shipped moved them Write the strategy, the specs, and the analysis yourself Minimum qualifications Have owned a developer platform, API, billing or money-movement product, or self-serve growth product end to end, and were the person accountable for its revenue or activation number (for most people this means five or more years as a PM, but we care about the ownership, not the years) Have built with or shipped on top of large language models, and have a view on what changes about billing, identity, or distribution when the customer is sometimes an agent Are technically fluent: you read API docs, work through a billing, identity, or attribution design with engineers, and make calls on platform primitives yourself Pull your own data: SQL or equivalent, to define a metric, build a funnel, or size a market Have negotiated pricing, revenue share, or program terms with Finance, Legal, or Business Development counterparts Write clearly enough that an engineer, an executive, and an external partner can each see the tradeoff you're making Care about Anthropic's mission, and specifically about growing this platform in a way where the people building on it share in the upside Preferred qualifications 8+ years of product management experience Worked on metering, usage attribution, reseller or cloud-marketplace channels, or enterprise spend management Taken a developer platform into a new industry, or built product in healthcare, life sciences, financial services, or another regulated industry Grown a developer product's self-serve or startup business, including its pricing and packaging Built account, identity, or subscription systems that span more than one product Taken a product from zero to one, where the users, the product, and the economics all had to be worked out at once 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: $305,000 — $385,000 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.

Location: Remote - US Company Description: Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. What You'll Do: You will work on our storage platform which supports the B2 Object Storage and Computer Backup products, responsible for reliably storing the customer data. You will help improve durability, increase throughput, and drive architectural changes to support the long term requirements of our service. Responsibilities: Lead technical design discussions and produce clear design documents Drive the implementation on large features Shape coding methodologies and best practices The Right Fit: 7+ years of OOP (Java, Rust, C++, C#, etc)  in an enterprise environment, with a heavy focus on backend development Experience building large scale software systems running on thousands of servers Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code) Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout Exhibits curiosity and seeks to understand before offering solutions Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward Applies analytical thinking to ambiguous problems Bonus points for: Proficiency in Java or Rust Experience with developing host-managed SMR solutions Experience with discovering and implementing performance improvements, including CPU and IO Familiarity with hard drive performance and optimization Experience building and interpreting models, dashboards, or reports Understanding of Linux internals and file systems Required for all Backblaze Employees: Good attitude and willingness to do whatever it takes to get the job done Strong desire to work for a small, fast-paced company Desire to learn and adapt to rapidly changing technologies and work environment Rigorous adherence to best practices Relentless attention to detail Excellent interpersonal skills and good oral/written communication Excellent troubleshooting and problem solving skills Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: Non-Bay: $175,000 - $200,000 Bay Area: $200,000 - $225,000 At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Remote - US ISV Partnerships Manager Remote - US Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud — managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking an: ISV Partnerships Manager! About the Role One of the fastest-growing adoption paths for Backblaze B2 is ISV integration across App & Infrastructure and Data & AI platforms. When a storage, backup, or data platform ships B2 as a validated storage endpoint, every customer that platform sells becomes a potential B2 customer without a single outbound motion. That is the flywheel. This role owns the work of building B2 into the default storage layer for the ISV applications that serve App & Infrastructure and Data & AI workflows. You will own the ISV partnership program from signed integration to co-sell to joint reference architecture — and you will extend Flamethrower, our developer relations program, into the ISV ecosystem to create technical pull. This is a role for someone who is technically credible enough to lead an integration architecture review, and commercially sharp enough to run the sales and strategic relationship side of the partnership. You will inherit a mix of established ISV relationships and open ground still to build across App & Infrastructure and Data & AI. Some partner asks are already on the table — storage tiering, simplified coverage models, and programmatic market development funds — while other parts of the program don't exist yet. Your mandate is to scale what's working and build out the next tier of ISV partners where it isn't. What You'll Do App & Infrastructure ISV Tier Own backup, recovery, and infrastructure software ISV partnerships end-to-end — from technical integration certification to co-sell activation to joint pipeline. Drive B2 into the validated storage endpoint documentation for each infrastructure ISV. Every deployment should be able to default to B2 as the cloud tier, at the same or better tier than other major cloud storage options. Work with Enablement to build ISV-specific sales plays — for example, immutable backup and data protection solutions pairing B2 with a partner platform — as repeatable deal structures. Develop a formal storage tiering narrative for infrastructure ISV partners who need it to win deals, and bring it to the partners who are asking for it. Data & AI ISV Tier Own integrations with data and analytics platforms, positioning B2 as the data lake and log archive tier for AI and analytics workflows. Work with Developer Relations (Flamethrower) to drive technical co-development: B2 as the S3-compatible data source for lakehouse platforms, external table architectures, and archive storage use cases. Identify 2–3 net-new AI-adjacent ISV integrations per quarter — including opportunities in emerging verticals such as physical AI and surveillance. Extend Flamethrower, Our Developer Relations Program, into the ISV Ecosystem Extend Flamethrower — Backblaze's developer relations program — into the ISV ecosystem: co-authoring integration guides, producing joint technical content, and running developer-facing webinars and workshops with ISV partners. Coordinate with Developer Relations to ensure every ISV integration produces a publishable, Flamethrower-grade technical asset — SDK documentation, an integration guide, or a reference architecture. Measure ISV health by integration depth, not just partner count: certified integration → co-sell activation → published joint reference architecture → Tier-1 analyst coverage. ISV Partner Program Operations Own ISV partner relationships across App & Infrastructure and Data & AI, building out program mechanics — programmatic MDF, deal registration, QBR cadence, and dedicated support assignments — where they don't yet exist, and refining them where they do. Work with Revenue Operations to resolve partner coverage gaps, including dedicated sales, solutions engineering, and customer success support for our top partners. Evaluate the next tier of ISV partners and determine add vs. hold based on revenue contribution and technical fit. Channel Sales & Commercial Execution Structure and negotiate commercial partnership terms — referral, resell, or embedded models — that create pull-through B2 revenue from ISV-sourced deals. Carry and deliver against a partner-sourced pipeline and bookings target, running this program with the discipline of a channel sales motion, not just relationship management. Build strategic account plans for top ISV partners that align the technical integration roadmap with commercial goals and executive-level relationships on both sides. Goal Accountability Generate partner-sourced pipeline that contributes to our total contract value bookings goals — specifically through App & Infrastructure and Data & AI ISV integrations. Deliver two or more public co-branded reference architectures with ISV partners per quarter. Achieve three public customer references per quarter from the App & Infrastructure or Data & AI ISV tiers. The Right Fit Required 10+ years in technology partnerships, ISV alliances, channel sales, or developer ecosystem roles — in cloud infrastructure, storage, backup/recovery, or data platforms. Track record of quota-carrying sales or channel sales performance, including experience negotiating commercial partner terms such as resell, referral, or revenue-share agreements. Existing relationships at two or more ISVs in the backup, infrastructure, or data platform categories. Experience running ISV partner programs end-to-end: integration certification, co-sell activation, joint GTM, and MDF governance. Technical fluency sufficient to guide integration architecture conversations — you understand S3-compatible APIs, object storage tiering, and how backup/recovery or data pipeline ISVs connect to cloud storage. Experience managing a portfolio of ISV relationships simultaneously, balancing strategic account management with hands-on technical integration review. Salesforce proficiency for partner pipeline management and forecasting. Strongly Preferred Experience at or with a cloud storage, backup ISV, or data platform vendor (not a hyperscaler). Familiarity with MDF governance, deal registration programs, and partner tiering structures. Understanding of AI/ML data pipeline use cases — training data storage, log archival, checkpoint management — specifically in the context of S3-compatible object storage. Experience building or running a channel sales motion with direct quota or pipeline accountability, not just alliance/relationship management. This Role Is Not For You If You are a pure relationship manager who does not engage with technical integration depth — ISV partners will test your architecture knowledge immediately. You are not comfortable owning both sides of the partnership: the technical integration relationship and the commercial sales relationship, often with the same partner. You need a complete partner program to manage — parts of this are being built as you run it. Logistics Remote US. 30–50% travel. Reports to: Head of Channel & Partnerships. Backblaze Perks Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is $134,400 - $164,500. At Backblaze, we value being fair and good to our customers, partners, and employees. That's why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. What You'll Do: You will work on our storage platform which supports the B2 Object Storage and Computer Backup products, responsible for reliably storing the customer data. You will develop host-managed SMR support for the storage platform, optimizing for throughput and costs. Responsibilities: Lead technical design discussions and produce clear design documents Drive the implementation on large features Shape coding methodologies and best practices The Right Fit: 10+ years of OOP (Java, Rust, C++, C#, etc)  in an enterprise environment, with a heavy focus on backend development Experience building host-managed SMR support for storage systems Experience benchmarking IO performance and resolving bottlenecks Experience building large scale software systems running on thousands of servers Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code) Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout Exhibits curiosity and seeks to understand before offering solutions Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward Applies analytical thinking to ambiguous problems Bonus points for: Experience with discovering and implementing performance improvements, including CPU and IO Familiarity with hard drive performance and optimization Experience building and interpreting models, dashboards, or reports Understanding of Linux internals and file systems Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: Non-Bay: $205,000 - $230,000 Bay Area: $245,000 - $265,000 At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Customer Success Managers at Ramp drive value for customers and revenue for the business by ensuring fast, effective onboarding and activation of newly closed customers. As a Senior Scaled CSM, you’ll play a critical role in delivering high-quality outcomes at scale while helping shape the processes, playbooks, and customer strategy that fuel Ramp’s growth. You’ll own a high-volume portfolio of micro-SMB and micro-MM customers, balancing efficiency and personalization through strong judgment, structured execution, and thoughtful use of scalable motions. This role is ideal for someone who thrives in fast-paced environments, operates with high ownership, and consistently drives customer outcomes. WHAT YOU’LL DO - Own the end-to-end onboarding and activation of a large portfolio of micro-SMB and micro-MM customers, driving customers to full Ramp adoption within 60 days through efficient, scalable motions. - Lead onboarding with strong executive presence, setting clear agendas, controlling call flow, and driving as much progress as possible in minimal touchpoints. - Ensure fast, thorough, and complete implementation by educating customers on Ramp functionality, best practices, and the “why” behind key workflows. - Confidently navigate and position Ramp’s full product suite, including Cards, Bill Pay, Travel, Treasury, and Accounting integrations, tailoring recommendations to customer workflows and business goals. - Deeply understand customer workflows, pain points, and blockers, and problem-solve alongside Product, Engineering, and Support when needed. - Drive revenue by minimizing implementation delays and reinforcing the value of Ramp as a core financial operating system. - Use customer data, usage signals, and patterns to prioritize outreach, identify risk, and intervene proactively. - Balance implementation work, follow-ups, proactive outreach, and group onboarding while maintaining a high bar for quality. - Partner closely with Product to surface customer feedback, identify trends, and influence roadmap priorities. - Identify opportunities to automate, standardize, and improve onboarding processes, contributing to playbooks, enablement materials, and scalable best practices. - Act as a multiplier for the team by sharing insights, patterns, and coaching peers through examples and collaboration. - Help maintain an industry-leading customer experience while operating at high volume and pace. WHAT YOU’LL NEED - 5+ years of experience in Customer Success, Account Management, Sales, or a related customer-facing role in B2B SaaS. - Proven success managing a high-volume book of business while consistently driving customer outcomes. - Strong executive presence with the ability to lead confident, structured customer conversations and handle objections effectively. - Experience balancing scale and personalization through group onboarding, automation, and targeted 1:1 engagement. - Comfort working cross-functionally with Product and Engineering to share feedback, troubleshoot issues, and ideate solutions. - Data-informed mindset with experience using metrics and signals to guide decisions and assess risk. - Proven track record of meeting or exceeding key performance metrics in fast-paced environments. - High adaptability and comfort navigating ambiguity in a scaling organization. - Strong curiosity about product design and the ability to communicate why Ramp works the way it does. NICE TO HAVES - Bachelor’s degree from an accredited university. - Experience with accounting or ERP systems such as NetSuite, QuickBooks, Xero, or Sage. - Background in financial services, fintech, or payments. - Experience at a high-growth startup or in a scaled Customer Success organization. - Prior experience contributing to enablement materials, playbooks, or process improvements. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA | New York City, NY 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 Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our latest releases. The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning. Research TPM team supports the full model development lifecycle, from pre-training through post-training, operating at the frontier of AI development. About the Role As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustworthy read on the state of RL research, the review and prioritization processes that turn that read into critical decision for production RL runs. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when research or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity. Join us in our mission to build AI systems that are safe, reliable, and beneficial to humanity. Responsibilities Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents Work with RL org leads on prioritizing, ranking, and tracking the state of experiments Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what gets decided Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions You May Be a Good Fit If You Have a background in ML engineering or ML research before transitioning to technical program management Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery Are excited about pushing the frontier of what RL can do at scale 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: $365,000 — $435,000 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.

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You’re currently pursuing a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas - You have experience developing and evaluating large-scale models or machine learning systems - You’re familiar with distributed training, large-scale inference, or multi-GPU environments - You have publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR - You have strong programming and engineering skills and can translate research ideas into working implementations - You have a collaborative, mission-driven mindset and can work effectively across research and engineering teams

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Principal Machine Learning Engineer to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure. Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints. Key Responsibilities Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment. Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation. Design and operate scalable inference systems while balancing latency, cost, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies. Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications. Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety. Requirements Strong background in deep learning and transformer-based architectures. Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production. Proficiency with modern machine learning frameworks such as PyTorch or JAX . Experience with distributed training and inference frameworks, including technologies such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray . Strong software engineering skills with experience building robust, maintainable, production-grade systems. Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision. Ability to independently own end-to-end machine learning systems in fast-moving environments. Strong problem-solving skills with a focus on rapid iteration and continuous improvement. Preferred Qualifications Experience with one or more of the following is preferred: LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer Open-source contributions to machine learning or systems libraries Scientific computing, compiler technologies, or GPU kernel development Reinforcement Learning from Human Feedback (RLHF) pipelines, including PPO, DPO, or ORPO Training or deploying multimodal or diffusion models Large-scale data processing frameworks such as Apache Arrow, Spark, or Ray

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards. You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage. The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work. Key responsibilities Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off Work directly in research codebases, improving reliability and structure without slowing down the research they support Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on Experience working productively in large, evolving, or research-style codebases that you didn't originally write Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines Experience building or operating large-scale distributed systems Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms Experience with large-scale data processing or dataset lifecycle management Experience designing plugin systems or extensible class hierarchies used across an organization Experience embedding with or consulting for other teams, including successfully handing off systems for others to own Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams Prior experience as a technical lead, or setting engineering standards for a team Prior experience maintaining an open source project Representative projects These are examples of the challenges the team tackles; no one person will work on all of them: Design a base RL environment abstraction general enough to be subclassed across a wide range of environments Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks Design probes that catch sandbox regressions early Design the lifecycle and maintenance scheme for a production dataset Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs Build the access layer that lets researchers discover and reuse data artifacts across teams 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: $405,000 — $625,000 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.

Location: San Francisco, CA | New York City, NY 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 Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification. Key responsibilities Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally Own the platform layers that sit beneath every environment, including the agent runtime Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues Drive adoption of new frameworks across the organization, including deprecations and cutovers Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct Experience working productively in large, evolving, or research-style codebases that you didn't originally write Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms Experience with large-scale data processing, dataset lifecycle management, or data lineage systems Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead Representative projects These are examples of the challenges the team tackles: Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves 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: $405,000 — $605,000 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.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The Marketing Director, Brand Culture is a strategic leader responsible for supporting the SVP of Marketing in extending gaming culture through youth audiences. This role will lead PlayStation's youth culture strategy globally, translating emerging cultural insights into a clear brand point of view and working across the marketing organization to create scalable programs that build lasting emotional connections and cultural relevance with the next generation of players. This role will work with executives and stakeholders, internally and externally, to deliver brand momentum and business results. We are seeking an out-of-the-box thinker, who can operate proactively in a fast-paced environment. Key Responsibilities: Strategy & Vision Define long-term cultural vision and point of view for youth audiences globally. Establish the brand’s key intersection with entertainment, music, fashion, sports Identify the cultural territories, behaviors, and signals that will shape the future relevance Develop a clear framework for the brand’s authentic expression within culture. Cultural Intelligence Drive ongoing research into youth culture and gaming culture Evaluate cultural spaces, collaborators, creators, and lifestyle categories for strategic fit and impact. Marketing Integration & Scale Embed cultural strategy across Brand Marketing, Partnerships, Social, Influencer Marketing, Events, and Creative teams. Create scalable global platforms and activations that connect PlayStation to youth culture in authentic and meaningful ways. Establish measurement frameworks that assess relevance, audience engagement, brand affinity, and business impact. Leadership Thought leader and partner to Brand Marketing, Partnerships, Influencers & Events Marketing, Creative, and Commercial teams Demonstrate a solutions-oriented mindset, troubleshooting challenges and adapting plans to meet evolving business and market needs Balance global alignment with appropriate local and product-level flexibility, reinforcing a one SIE mindset while respecting market and portfolio needs Skills and Qualifications: Bachelor’s degree in marketing, advertising, or a related field 15+ years of experience building culturally relevant brands within gaming, entertainment, sports, fashion, music, technology, or consumer lifestyle categories. Proven experience defining and driving youth culture strategy for a global brand. Deep expertise working with creators, influencers, talent, and cultural partners in social-first environments. Strong understanding of Gen Z and emerging youth audiences, including the platforms, communities, and behaviors shaping culture today. A genuine interest and/or passion for gaming, entertainment, technology, or digital consumer brands Track record of translating cultural insights into breakthrough marketing programs, partnerships, and brand platforms at global scale. Experience managing agencies and external partners Strong project management abilities, including the capacity to prioritize tasks, meet deadlines, and manage resources effectively Experience influencing senior leadership and leading cross-functional teams across multiple regions. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $212,000 — $318,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote; Denver, CO; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote across North America - NYC, San Francisco, or Denver preferred. Runway is scaling its Enterprise revenue organization with leaders who know how to build and scale high-performance teams. And, who can operate a revenue machine while keeping customer value in mind - leading our industry-based revenue pods responsible for both net-new ACV, NRR, and Renewal. This role is designed for the leader who wants to accelerate their CRO career trajectory. Someone who knows how to build and scale teams and leadership excellence from $100M to $500M+ organizations, operate in AI-native fluid environments, and have experience selling-to, expanding, and renewing with client operators from across a variety of ICPs (From operators in Marketing, HR, Operations, and Finance, to technologists in AI, IT Infrastructure, and Security). Runway is searching for leaders who enjoy the build - hiring top-performing AEs and frontline leaders to grow your teams for scale. You’re a leader-of-leaders who lead hybrid revenue pods of AEs + Engagement managers. We expect you to think like a CRO - every pod is effectively a P&L, expansion is as much your number as new logos, and any customer who signs needs to see value through consumption of the Runway platform. If you have only ever inherited a running enterprise org, this is not the right fit. If you have built one, we'd like to talk. WHAT YOU'LL DO - Build and lead an Enterprise segment of 3-4 frontline sales managers; each with 3-5 revenue pods beneath them with operating Enterprise Account Executives and Engagement Managers in each pod. At scale, this role leads 25 - 40 GTM teammates - Own the segment's new ACV and NRR targets - both numbers, one owner, reviewed weekly with the CRO - Engage personally with C-level executives on accounts, building business cases and navigating procurement, security review, legal through to production deployment - Run the operating rhythm: forecasting to +/-5%, deal inspection, pipeline generation discipline, and account planning across a long-cycle book - Ensure that each of your leaders engages their revenue pods (AE + Engagement manager) to drive license consumption and value output. The more we invest in our customer’s adoption, the more everyone wins. WHAT YOU'LL NEED - 12+ years of enterprise software sales with 5+ years leading enterprise sales organizations with experience as a second-line leader - A validated record of building - you have grown an enterprise segment past 25 sellers and beaten the number while doing it - Personal history of closing and sponsoring $250k-$1M+ ACV deals with $1B+ revenue companies - Experience running consumption or usage-based revenue models, where expansion is earned through customer value - Fluency with modern AI - you use these tools daily, operate your team with them to drive productivity, you can demo Runway credibly to a CMO or CTO, and you have a defensible point of view on where generative media is going - Deep understanding of MEDDPICC and Command of the Message to reinforce value-orientation and deal progression with your teams - A record of exceeding quota year-over-year STRONG CANDIDATES MAY ALSO HAVE - Experience selling API and AI infrastructure solutions to CTO / CIOs - Sold creative, media, or content technology to Fortune 500 marketing and studio organizations - Built vertical pod or team structures with shared new ACV + NRR%/Renewal ownership - Scaled a GTM org through the $100M to $500M+ revenue stage COMPENSATION OTE $400K - 475K (60/40 base to variable). Offers equity. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a Financial Planning Manager to join our Corporate Accounting, Trading Services group, who will report to the Managing Director of Corporate Finance. The ideal candidate possesses a strong finance and analytical mindset. The candidate should be detail oriented and highly organized to manage several functions including trader compensation and financial planning/forecasting. Responsibilities Maintain and administer trader compensation database Calculate trader compensation on a monthly and annual basis Support monthly financial reporting and planning initiatives, as well as ad hoc projects Collaborate with Corporate Accounting team and auditors to complete year end audits for domestic and international entities Requirements 4+ years of relevant finance/accounting experience within a hedge fund, including responsibility for trader compensation, financial reporting, and analysis Bachelor’s degree in finance and/or accounting Strong analytical and modelling skills to effectively breakdown and map out legal compensation agreements Strong communication skills, both verbal and written, to effectively and succinctly present relevant data and issues Competent technology and data knowledge base to efficiently extract and manipulate data for reporting and analysis A team player with excellent project and time management skills to effectively work with our partners This role requires that all employees commute into our Rowayton, CT office Monday through Friday, and work 8:00 AM to 6:00 PM. Base Salary Range The anticipated base salary range for this position is $170,000 to $215,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel is hiring a Senior Integrated Campaigns Manager to architect and lead the global, multi-channel campaigns that drive awareness, adoption, and pipeline for Vercel's platform and developer tools. You will report to the Head of Strategic Events & Integrated Demand Generation and own Vercel's integrated campaign motion. You'll translate product and business priorities into cohesive campaign narratives that resonate with developers, technical decision-makers, and enterprise buyers, then orchestrate the cross-functional machine that brings them to life. Working alongside Product Marketing, Growth, Digital, Field Marketing, Strategic Events, and Sales, you'll unify individual channel efforts into a single integrated motion. Every campaign you run will blend developer-first storytelling with enterprise-grade messaging and span the full funnel from first touch to closed revenue. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own the end-to-end strategy, planning, and execution of Vercel's global integrated campaigns, from big-idea development through channel activation, measurement, and iteration. Translate product and business priorities into campaign narratives and messaging architectures tailored to distinct audiences: developers, full-stack teams, product leaders, and enterprise buyers. Orchestrate multi-channel programs across paid, owned, and earned channels in partnership with Growth, Digital, and Performance Marketing, ensuring every touchpoint ladders up to a unified story. Partner with Strategic Events and Field Marketing to extend campaigns into trade shows, regional events, and developer meetups to create experiences that reinforce the campaign narrative in person. Align with Sales and BDR leadership so campaigns fuel outbound motions with the right messaging, content, and follow-up plays that convert. Build and maintain the global campaign calendar, managing dependencies, sequencing, and regional alignment across functions and time zones. Define success metrics upfront, then measure, report, and optimize by running structured experiments across creative, messaging, channels, and audience segments. Mentor and guide campaign best practices across the marketing org, raising the bar for how Vercel plans and ships integrated programs. What you need 7+ years of B2B marketing experience, with 3+ years leading integrated or demand generation campaigns — within developer tools, cloud infrastructure or other technical SaaS products. A proven track record of owning global, full-funnel campaigns end to end, with clear pipeline and revenue impact you can point to. Deep understanding of developer audiences and the nuances of marketing technical products without dumbing them down. A strong storyteller who can shape a campaign narrative and hold it consistent across every channel and region. Exceptional program management skills: you can coordinate across regions, time zones, and a dozen stakeholders without dropping threads. Data-fluent, with hands-on experience defining KPIs, building reporting, and using performance data to make optimization calls. Comfortable operating with autonomy in a fast-paced, high-growth environment where priorities evolve quickly. Bonus if you Have marketed directly to developer communities or run technical content programs. Have launched campaigns supporting AI, cloud, or infrastructure products. Have worked in both high-growth startups and large-scale enterprise organizations. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $150,000 - $207,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Dubai, United Arab Emirates Workplace: onsite About You As Head of Investor Capital and Relations, Middle East, you will operate independently in region with a global reporting line and executive sponsorship, and with the mandate to build the firm's Middle East franchise from first principles: the coverage map, the institutional relationships, the office and, ultimately, the regional team. This is a builder's role. You will own senior coverage of the region's sovereign wealth funds, government related entities and family offices, lead the office establishment and hub determination between DIFC and ADGM, and coordinate closely with counsel and the firm's government relations workstreams as you build a durable Gulf franchise.   About the Opportunity Xsolla is seeking a Head of Investor Capital and Relations to be the firm's senior presence in the Gulf and own its most strategically important capital relationships: the region's sovereign wealth funds, government related entities and principal family offices. The GCC is executing one of the most ambitious government backed investment programs in the history of the games industry, and this seat exists to convert that alignment into anchor limited partner relationships, co-investment partnerships and strategic financings for the firm's investment vehicles and transaction pipeline. The corporate title for this seat is Executive Director, with a defined path to Managing Director tied to franchise milestones. The seat will have one direct report initially, a Regional Relationship Manager, to be hired following office establishment. The Head of Investor Capital and Relations, Middle East will be based in Dubai (DIFC) or Abu Dhabi (ADGM), with the hub determination in progress and open to the successful candidate's input, and will report to the Senior Vice President of Global Strategic Initiatives and Partnerships. The role requires travel of 50 percent or more across the GCC and wider MENA, with periodic travel to Los Angeles and New York. This is a full time position; the regional package will be structured with local counsel. Expressions of Interest Xsolla welcomes confidential conversations with qualified candidates and trusted introductions. Please direct expressions of interest, together with a resume and a short note on relevant experience, to the Xsolla Talent Acquisition team via the application button linked below.   About Us Xsolla is a global commerce and financial technology company for the video game industry. Headquartered in Los Angeles with offices and operations worldwide, Xsolla provides the tools, infrastructure and capital solutions that help developers and publishers fund, launch, distribute and monetize their games across every market and platform. The company serves thousands of game businesses globally, from independent studios to the largest publishers, and is expanding a dedicated capital markets and investment platform serving the interactive entertainment ecosystem. The Capital Markets Group The Capital Markets Group (CMG) sits within Xsolla's Global Strategic Initiatives function and operates as the firm's institutional capital platform. The group originates, structures and executes financing and investment solutions across games and interactive entertainment, and is building a franchise modeled on the leading independent capital markets and special situations advisory platforms. The group operates multiple investment vehicles spanning debt financing and credit markets, alongside special situations and principal investment strategies serving the interactive entertainment ecosystem. These activities are supported by a proprietary market intelligence system, a global events and convening program, and a governed institutional relationship platform covering LPs, sovereign investors, family offices, banks and intermediaries across the Americas, MENA, APAC and Europe. CMG operates from hubs in Los Angeles, New York, the Middle East and Singapore. The group is in its foundation stage: hires at every level join a live deal environment with executive sponsorship, meaningful ownership and the mandate to build a durable franchise rather than inherit one. For more information, visit xsolla.com. RESPONSIBILITIES Key Responsibilities Sovereign and Institutional Coverage Own sovereign coverage. Own senior coverage of the region's sovereign wealth funds and government related entities, including their gaming, technology and entertainment investment vehicles, with documented access paths and personal ownership of the firm's most senior regional relationships. Build family office coverage. Build and maintain coverage of the GCC's principal single and multi family offices, regional institutional investors and banks, with complete, current records in the firm's relationship platform. Map the counterparties. Map the decision making architecture of each priority institution, including investment committee cadence, mandate criteria, co-investment appetite and approval chains, and maintain that intelligence as a living asset. Capital Formation and Transactions Lead regional fundraising. Lead regional pre-marketing and fundraising processes for the firm's investment vehicles within applicable private placement and promotion regimes, coordinating with counsel on the marketing approach for each jurisdiction. Originate co-investment dialogues. Originate and manage sovereign co-investment dialogues alongside fund principals, and support strategic and government aligned financing conversations through to execution. Own diligence processes. Manage institutional diligence processes end to end, including DDQ coordination, data room support, operational due diligence visits and reference management. Franchise and Regional Platform Advise on the hub decision. Advise the hub determination between DIFC and ADGM, and lead the establishment of the regional office with Legal and Finance, including regulatory positioning of the firm's regional activities. Build the region's presence. Build the firm's presence across the region's priority investment forums and convening platforms, and run a regional events calendar that converts presence into qualified pipeline. Coordinate with government relations. Coordinate deliberately with the firm's government relations and sovereign engagement workstreams so that capital coverage and institutional diplomacy reinforce one another. Build the regional team. Recruit and develop the regional Relationship Manager and subsequent hires; establish coverage and CRM standards for the region. Risk and Controls Ensure regulatory compliance. Ensure all regional marketing and promotion activity complies with applicable regimes, including DIFC and ADGM promotion rules and the private placement frameworks of each GCC jurisdiction, in coordination with counsel. Maintain counterparty awareness. Maintain rigorous counterparty awareness, including KYC, AML and sanctions screening coordination with the firm's compliance processes, and escalate reputational risk considerations early. REQUIREMENTS Candidate Profile Experience 10 or more years covering MENA institutional capital from an investment bank, sovereign investor, placement agent, asset manager or family office platform, including at least 5 years in a senior client facing capacity. Demonstrable senior relationships inside GCC sovereign institutions and principal family offices, with a referenceable record of capital raised, commitments secured or strategic partnerships executed in the region. Existing relationships across the region's sovereign gaming, esports and digital entertainment programs and their investment arms are a strong advantage, as is a cumulative placement or capital formation record in the region of USD 500 million or more. Domain Expertise Working knowledge of the regional regulatory landscape relevant to fund marketing and promotion, including the DIFC and ADGM frameworks and private placement practice across the GCC. Experience marketing alternative strategies such as credit, special situations or private equity to sovereign and family office investors, including familiarity with Shariah aware structuring considerations, is preferred. Experience establishing or operating a regulated or exempt presence in the DIFC or ADGM is preferred. Skills and Competencies Deep cultural fluency and protocol judgment in sovereign, government and family office settings, and the discretion those relationships demand. Proven ability to operate independently in region on a global platform, with disciplined reporting, pipeline management and follow through. Exceptional written and verbal communication skills in English; Arabic language fluency is preferred. A high degree of ethics and integrity, with a clean regulatory and disciplinary history. Education and Credentials A bachelor's degree is required. A CFA or CAIA charter, or equivalent, is preferred. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical plan, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Head of Investor Capital & Relations role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Working with vulnerable populations Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the UAE Personal Data Protection Law: Applicants are encouraged to inquire about their rights under the UAE Personal Data Protection Law. If you have questions regarding our hiring practices, please contact careers@xsolla.com   By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. Compensation is competitive and negotiable based on experience, and includes performance-based incentives, equity participation, and comprehensive health, retirement, and wellbeing benefits.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. We build products that help people better understand their bodies, improve performance, recover smarter, and build healthier habits through continuous health monitoring and actionable insights. Our products sit at the intersection of hardware, software, data science, sport, health, fashion, and culture. The Creative org defines how WHOOP is felt in the world. We are responsible for the physical manifestations of the brand, from hardware, bands, and accessories to collaborations, retail environments, pop-ups, and in-store moments. We operate with high taste, deep craft, and exacting standards. This is a design team built on trust, candor, and a shared obsession with quality. We are empowered to initiate, to challenge, and to lead. Our mandate is simple and uncompromising: to deliver best-in-class design across every physical touchpoint and to make WHOOP unmistakable through clarity, restraint, and excellence. We are looking for a Senior Industrial Design, Lead to help define the future of WHOOP hardware and wearable experiences. This role is for a designer who can move fluidly between vision and execution, shaping product strategy while obsessing over the details of form, fit, material, finish, comfort, manufacturing, and long-term user behavior. As Senior Industrial Design, Lead, you will own and drive industrial design across next-generation WHOOP products, accessories, and wearable systems. You will lead concept development, translate insights into compelling physical experiences, and partner deeply with Product, Engineering, Research, CMF, Apparel, Manufacturing, Brand, and Marketing teams to bring world-class products to market. This person will help define how WHOOP shows up on the body, in sport, in daily life, and in culture. The ideal candidate has deep experience designing wearable products or technically complex consumer hardware, a refined aesthetic point of view, strong ergonomic intuition, and the ability to lead cross-functional teams from early exploration through mass production. RESPONSIBILITIES: - Lead industrial design for future WHOOP hardware, bands, accessories, and wearable ecosystems from concept through production. - Translate user, athlete, member, and market insights into design strategies, product architectures, and differentiated physical experiences. - Create compelling design concepts through sketching, 3D modeling, prototyping, visualization, and storytelling. - Drive ergonomic studies, wearability testing, fit analysis, and human factors exploration to ensure products perform across body types, activities, environments, and use cases. - Partner closely with Mechanical Engineering, Electrical Engineering, Sensors, Apparel, Product, and Manufacturing to balance design intent, technical feasibility, performance, comfort, durability, and cost. - Lead CMF direction in collaboration with CMF and Brand partners, ensuring every material, finish, texture, and color decision reinforces the WHOOP design language. - Build and evolve design systems for WHOOP hardware, accessories, and on-body experiences, creating consistency while enabling future innovation. - Prototype rapidly across fidelity levels, from rough physical mockups to refined appearance models and functional wear-test samples. - Guide design decisions through clear rationale, strong visual communication, and a deep understanding of member needs. - Mentor industrial designers and contribute to a high-performance creative culture rooted in craft, rigor, curiosity, and accountability. - Present design work to senior leadership, clearly articulating the strategic, experiential, technical, and business rationale behind key decisions. - Partner with external vendors, model shops, factories, and development partners to preserve design intent through tooling, validation, and production. - Stay ahead of trends in wearables, health technology, performance apparel, fashion, materials, manufacturing, and culture. QUALIFICATIONS: - 8+ years of industrial design experience, with significant experience in consumer electronics, wearables, health technology, performance products, footwear, apparel, or technically complex consumer goods. - A portfolio that demonstrates exceptional taste, concept development, design process, problem solving, prototyping, and production execution. - Proven experience bringing products from early concept through manufacturing and launch. - Deep understanding of ergonomics, body-worn products, soft goods, hard goods, materials, CMF, manufacturing processes, and design for scale. - Strong 2D and 3D design skills, including sketching, CAD, rendering, visualization, and physical prototyping. - Ability to lead ambiguous, future-facing design programs while also managing the details required to ship excellent products. - Experience collaborating with engineering and manufacturing teams on technically constrained products. - Strong storytelling and presentation skills, with the ability to influence executive stakeholders and cross-functional partners. - A refined aesthetic point of view and a high bar for proportion, detail, materiality, usability, and emotional resonance. - A collaborative, low-ego leadership style with the ability to mentor designers and elevate the work of a broader team. - Passion for health, fitness, sport, human performance, design innovation, and the future of wearable technology. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Europe Workplace: Remote Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE Synthesia's long-term vision is to build the best human-interactive models: systems that don't just talk to people, but perceive and respond to them, reacting to a user's actions and emotions, not only their words. Today over 60,000 businesses rely on our platform, and the next leap in what we can offer them depends on models that combine text, audio, and video into a single real-time interactive experience. As a Staff Research Engineer, you'll join the Voice team within our 40+ person R&D department, but your scope will extend well beyond voice. You'll help define and drive that broader vision across teams, proposing ambitious research directions and taking direct ownership of the design and implementation of its most critical components. You'll work directly with our voice lead and collaborate tightly with our video teams and other senior members of the org. Concretely, you'll work on voice to voice models that produce text and voice simultaneously. Models that can reason, interrupt the user with back channeling and talk. Models that feel like you are having a natural conversation with, without the feeling of turn taking that is dominant in current speech to speech models. Your role would be to partner in defining a roadmap, implementing it and shipping the outcomes to product. What you'll do - Shape our roadmap to create new model capabilities and unlock new functionality for our customer base, on both short and long time horizons. - Propose novel multi-modal system architectures (especially text and voice). - Develop and evaluate streaming and conversational systems for low-latency, interactive voice-video synthesis. - Design solutions that reinforce emotional expressiveness and natural interaction. - Implement and bring designs to life, from pretraining through post-training. - Integrate and test novel architectures (neural codecs, diffusion, flow-matching) to enhance realism and responsiveness. - Define new evaluation metrics for conversational systems, including latency-aware and interaction-based measurements. - Track the latest research in audio-visual diffusion, autoregressive models, neural codecs, and multimodal LLMs. - Curate new datasets to complement existing data. - Lead post-training initiatives like DPO, fine-tuning, and distillation to bring models to shipping quality. - Ship models to production with optimised runtime to serve customers, and address their feedback thereafter. YOU'LL THRIVE IN THIS ROLE IF YOU HAVE - The ability to bring novel ideas and designs that advance the field of interactive multimodal systems. - Strong understanding of generative modelling, ideally applied to sequential or multimodal data. - Hands-on experience with large language models or similar transformer-based architectures. - High proficiency in PyTorch, including distributed training and model optimization. - A solid grasp of time-series modeling and tokenization, preferably in the context of audio, speech, or video. - A demonstrated ability to prototype quickly, test hypotheses, and iterate efficiently. - Proven experience training deep learning models end-to-end, from data preparation through evaluation. - Strong general software engineering skills, enabling contributions to a large, shared research infrastructure. PARTICULARLY RELEVANT EXPERIENCE - Having shipped a generative model into a live product used at meaningful scale, not just published or prototyped it. - Working on conversational or interactive systems where latency, responsiveness, and user experience were first-class constraints, not afterthoughts. - Working on LLMs with large scale trainings leadings to models with decent reasoning capabilities - Owning a research problem end to end: from architecture proposal through pretraining, post-training, and production deployment. - Collaborating across modalities or teams (e.g. audio and video, or research and product) to ship a unified system. BONUS POINTS FOR - Experience with real-time or streaming architectures. - Familiarity with state-of-the-art architectures in audio and speech generation, such as diffusion models, neural codecs, flow-matching models, or autoregressive decoders. - Excellence in one or more of the following modalities: voice, text, video. - Evidence of original research contributions, such as publications or open-source work at top-tier venues (e.g. NeurIPS, CVPR, ICML, ICLR, Interspeech).

Location: Palo Alto, United States Vice President, Robot Learning Confidential | Early-Stage Robotics Startup | San Francisco Bay Area, CA About the Opportunity We're partnering with an ambitious early-stage robotics company building the next generation of humanoid telepresence systems for industrial work. The company's mission is to make dangerous, highly skilled physical work safer and more accessible by enabling expert operators to remotely control humanoid robots with real-time visual, auditory, and haptic feedback. These systems are deployed in complex environments including energy infrastructure, industrial facilities, manufacturing, and other hazardous settings. A core part of the long-term vision is transforming teleoperation data into increasingly autonomous robotic capabilities. Rather than treating teleoperation as a temporary solution, the company views it as the foundation for building high-quality robot learning systems based on real-world interaction, force feedback, and task execution. This is an opportunity to define the robot learning strategy at a company where machine learning is central to the product roadmap. The Role We're seeking a Vice President of Robot Learning to lead the company's robot learning organization and own the roadmap from teleoperation data collection through to learned policies and increasing levels of autonomy. This is a highly technical leadership role for someone who enjoys building from first principles, working closely with hardware and software teams, and translating cutting-edge robotics research into production systems. You'll have the opportunity to shape both the technical direction and the team as the company scales. What You'll Do Own the robot learning strategy and technical roadmap. Build the data pipeline that transforms teleoperation sessions into high-quality training data. Develop learning systems for contact-rich robotic manipulation using real-world demonstrations. Design and deploy imitation learning, reinforcement learning, and policy optimization approaches for physical robots. Work closely with robotics, controls, perception, and hardware engineers to build an integrated robotic system. Lead the evolution from teleoperated workflows toward progressively autonomous capabilities. Build, mentor, and grow a world-class robot learning organization. Establish technical direction, research priorities, and engineering best practices. Drive experimentation, deployment, and continuous improvement using real-world operational data. What We're Looking For Required PhD or equivalent expertise in Robotics, Machine Learning, Computer Science, or a related field. Significant experience building robot learning systems for real-world robotic manipulation. Deep expertise in imitation learning, reinforcement learning, policy learning, or related techniques. Experience working with physical robots rather than purely simulated environments. Strong understanding of contact-rich manipulation, force feedback, and real-world robotic control. Track record of shipping robotics systems from research into production. Experience leading highly technical teams or serving as the technical leader for a major robotics initiative. Preferred Experience from leading robotics organizations or research groups such as: OpenAI Robotics Google DeepMind Robotics Physical Intelligence Toyota Research Institute Figure AI Agility Robotics Covariant Skild AI Sanctuary AI Dexterity Intrinsic Boston Dynamics Other leading manipulation or humanoid robotics companies Particularly valuable experience includes: Learning from teleoperation or human demonstrations Building commercial robot learning data pipelines Manipulation in contact-rich environments Haptic interfaces or force-controlled robotics Multi-modal learning using vision, force, and proprioception Scaling robot learning infrastructure across fleets Who You Are Builder-first with a passion for deploying robotics in the real world. Comfortable operating in an early-stage, fast-moving environment. Excited by ambiguous technical problems with significant ownership. Able to balance long-term research vision with near-term product execution. Motivated by building a team, not just contributing individually. Collaborative, hands-on, and deeply technical. Why Join Define the robot learning strategy from an early stage. Build systems that operate in challenging, real-world industrial environments. Work across hardware, controls, perception, and AI to solve end-to-end robotics problems. Help shape the future of intelligent humanoid robotics. Significant technical ownership with the opportunity to build and lead a high-impact organization. Location: San Francisco Bay Area, California (onsite) Employment Type: Full-time