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Location: New York, NY (HQ); San Francisco, CA; Remote (US); Miami, FL 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 Ramp is hiring a Brand Partnerships Manager to shape and accelerate our growth through strategic partnerships and collaborations. You’ll build our brand partnerships strategy from the ground up: sourcing high-potential partners, developing relationships, structuring creative collaborations, and turning them into campaigns that drive awareness, engagement, and business growth. Success in this role looks like building real, high-impact partnerships with tangible value for Ramp, our partners, and the audiences we reach together. The ideal candidate is a marketer who can also run a deal: you come up with the partnership, you know why it matters for the business, and you execute relentlessly to get it out the door. You should have an instinct for great ideas, a strong creative point of view, and a close read on what’s happening across media, sports, and culture. Most importantly, you’ve turned those ideas into campaigns that break through culture, get attention, and drive business outcomes. Ramp is a place for people who move fast, take ownership, and are looking to do the best work of their careers. We want someone who can build this function out, bet on partners that matter, and create collaborations that move the needle and are unmistakably Ramp. WHAT YOU'LL DO - Own Ramp’s brand partnerships program end to end: partner strategy, sourcing, negotiation, and execution. - Find high-value partners across finance, sports, business, and media who can put Ramp in front of new audiences. - Build a system for spotting and tracking emerging talent so we can place smart bets early. We sponsored Neal Shipley while he was still an amateur golfer, and TBPN in the very early days. We like spotting emerging brands and talent before everyone else does. - Develop bold partnership concepts that tie into Ramp’s brand, product priorities, launches, and broader marketing campaigns. - Lead deal strategy and negotiation, including pricing, asset packages, usage rights, exclusivity, deliverables, timelines, and contract terms. - Work with teams across Ramp to run and test campaigns across paid, owned, and earned channels, so every partnership delivers both creative impact and business results. - Manage active partnerships day to day. Keep deliverables on track, and keep finding new ways to work with existing partners so Ramp gets the most out of every relationship. - Work closely with Ramp’s sales team to spot deals where a partner could help, and find timely, relevant ways to bring them in. - Handle reporting for every partnership. Track delivery and performance, share what you’re learning, and recommend when to renew, expand, change, or end a deal. WHAT YOU NEED - 5+ years of experience in brand marketing, influencer marketing, partnerships, or a related role. - A track record of developing, negotiating, and executing high-profile brand, media, or strategic partnerships, ideally within a fast moving in-house team or at an agency. The ideal candidate has a builder mindset and is willing to challenge conventional approaches and take a first principles approach. - Strong creative judgment, with the ability to spot culturally relevant ideas and turn them into partnerships and campaigns that earn attention. - The ability to thrive in ambiguity, take initiative, and launch new programs quickly from scratch You can move from strategy to execution quickly, manage complexity, and drive work across teams. - Excel at balancing brand authenticity with performance metrics. Strong business acumen and judgment to balance efficiency with bold bets. - Ability to switch between strategy and in-the-weeds execution. In one meeting, you’re zooming out to set the vision and framework, the next you’re diving into day-to-day execution and delivery. - A strong interest in culture, entertainment, and sports. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is a data company, and data is our most valuable asset. The Data, Analytics & AI (DAA) organization turns WHOOP data into trusted intelligence that sharpens every team's decisions. As the data and AI ecosystem grows, making that data trustworthy and safe by default has become a strategic capability, so every product built on it can be relied on. We are seeking a Director, Data Governance to lead the function as a new pillar within the DAA organization. You will report to our VP of Data, Analytics and AI Acceleration. As the first dedicated leader of this function, you will define the strategy, operating model, and roadmap for data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance. Governance sets the policy and standards; the Data Platform & Engineering pillar engineers and implements them, so this role leads through influence, clear standards, and strong cross-functional partnership. WHOOP operates a mature data platform. This role builds the governance layer on top of it: formal ownership models, data contracts, an event taxonomy, cataloging and discovery, classification frameworks, and the policies that let the company scale into regulated environments without slowing down. You will build and lead a team and champion intelligent, AI powered approaches to continuously monitor the health and trust of our data. You should be equally comfortable setting strategy and rolling up your sleeves, and as effective presenting a data classification framework to senior leadership as you are working through a data quality standard with an engineer. Working across Data Platform & Engineering, Analytics, Data Science, Product, GRC, Legal, InfoSec, and RAD, you will earn trust across technical and business teams, drive adoption, and ship enforceable governance outcomes. RESPONSIBILITIES - Define and lead the data governance strategy, operating model, and roadmap spanning data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance (HIPAA, GDPR, CCPA), aligned with the DAA strategy. - Build, lead, and coach a small, senior team, developing your people while partnering closely with Staff level technical leaders across the org. - Establish a formal data ownership model, partnering with engineering and business stakeholders to assign stewardship and accountability for critical datasets. - Define the standards for data contracts between producing and consuming teams, covering schema stability, SLA adherence, and breaking-change management, with implementation owned by Data Platform & Engineering. - Own the event taxonomy governance framework, bringing structure to event tracking and standardizing how product and engineering teams define, name, and instrument events across platforms. - Set data quality standards (freshness, validation, monitoring) and the incident response expectations, partnering with Platform to operationalize automated testing and anomaly detection. - Champion AI powered governance approaches that proactively surface quality issues, ownership gaps, policy violations, and compliance risks. - Partner with GRC, Legal, and InfoSec to define the privacy, HIPAA, and compliance standards for how sensitive data is handled, which the platform then implements. - Define role-based access policy across the data platform, balancing security with self-service accessibility, with enforcement engineered by Platform. - Embed governance standards directly into engineering and developer workflows so the right way is the easy way, rather than relying on manual processes. - Develop governance metrics and reporting to track adoption, compliance, and data health across the organization. - Build a culture where trusted data is a shared responsibility across technical and business functions. QUALIFICATIONS - 10+ years in data, engineering, or data governance roles, with a strong background in data governance, data quality, data engineering, or data platform. - 4+ years of experience leading and building teams. - Direct experience building data governance programs or frameworks, ideally in a high-growth environment where governance was not yet formalized. - Hands-on experience with modern data stack tooling: Snowflake, dbt, Airflow/orchestration, and data catalog/lineage tools. - Working knowledge of healthcare data regulations (HIPAA), or willingness to develop deep expertise quickly given the WHOOP expansion into regulated healthcare products. - Experience implementing data quality frameworks with automated monitoring and alerting. - Experience with access control design and administration in cloud data platforms (Snowflake RBAC, row-level security, dynamic data masking). - Ability to drive cross-functional alignment on data standards and policies, and to lead highly cross-functional initiatives. Comfortable influencing engineering, product, and business teams. - Experience operating in regulated environments. - Proven track record managing data oversight for complex research initiatives, such as IRB-regulated studies or trials or regulatory filings for the FDA. - Excellent executive communication and organizational leadership. Able to translate technical governance concepts into business value for non-technical stakeholders and senior leadership. - A player-coach orientation. Willing to be deeply hands-on while building repeatable processes and growing a team. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. *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 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 $190,000 - $230,000. 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.

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. Currently, we are looking for a User Acquisition Manager to join one of toogeza’s clients. Requirements - 6+ months of experience in user acquisition / performance marketing - Experience managing budgets over $150—200k on paid social channels - Strong understanding of key marketing metrics and how they impact business performance - Strong analytical skills and ability to make data-driven decisions - Experience working with analytics tools such as Amplitude or Tableau - Structured and systematic approach to work - Creativity and ability to generate strong ideas and hypotheses - Ability to explain and support decisions with data - Ability to react quickly and adapt to changes - Upper- Intermediate (B2) or higher level of English Responsibilities - Create, manage, and scale advertising campaigns (Meta, or AppLovin and Pinterest) - Optimize ad campaigns to achieve performance KPIs - Own key performance metrics such as ROAS, Spend, and others - Develop and test hypotheses to improve user acquisition performance - Work closely with PMMs and the creative team to improve product messaging and ad creatives - Participate in creative brainstorming sessions and generate new ideas - Research and analyze competitors’ user acquisition strategies, including channels and ad creatives What we offer - Remote or Hybrid work. The choice is yours! - Time-off Policy — unlimited Out of office days - Sport and education compensations - Psychologists compensation - Language courses compensation - Coworking compensation - Health insurance - 100% Sick Leave Compensation - Team buildings and offsites (Spain, Italy, Poland and other) - Merch - Birthday presents What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We’re looking for a Principal Product Designer to join our Ventures team in London. You’ll be the senior design voice on an early-stage product, taking it from first concept to a test-market launch and shaping it for global scale. About Ventures Ventures is DoorDash’s internal incubator, where we build the next generation of businesses adjacent to our core. We fund small teams with a strong sense of ownership and grow the investment as they hit clear milestones. Early on, teams build a Minimum Lovable Product and prove product-market fit in a single country. Successful initiatives graduate to new resources and new markets, with the chance to become the next billion-euro businesses at DoorDash. Ventures teams are scrappy and ambitious, chase goals that almost feel too ambitious, and thrive on a startup mentality and a high tolerance for ambiguity. We’re now placing bigger and more diverse bets than ever, and we need people with equal ambition and drive to build and scale, or sunset, some of our biggest experiments yet. What You’ll Be Doing Vision & Influence Define the design vision and strategy across several Ventures products, deciding what to build at product-area level and sequencing work across teams. Become an expert on local market dynamics, ensuring each product is shaped by how people behave in each place. Partner with product-area leadership as a trusted advisor, shaping roadmaps and priorities. Build like a founder: set success metrics, share weekly updates, present at key business reviews and partner with your cross-functional team leads to build the case for further investment. Craft & Leadership Deliver differentiated, step-change improvements to customer journeys in crowded markets. Design scalable foundations across complex journeys, and turn regulatory constraints into simple experiences with legal, finance and operations. Build systems, prototyping frameworks and AI-enhanced workflows, setting the standards that drive adoption. Establish critiques and planning practices, mentor senior designers and emerging leaders, and hire senior designers and first-line managers. What You’ll Need to Thrive Product-Area Leadership: Proven experience leading design initiatives across multiple products, including taking more than one from 0-1. Product Judgement: A track record of spotting opportunities that improve long-term outcomes, backed by exceptional craft. Strategic Influence: Credibility with senior leaders and the ability to connect customer research, business goals and feasibility into one strategy. Developing Leaders: A history of coaching designers and managers and recruiting talent that wants to join you. Systems and AI Fluency: Experience building tools and standards that scale across teams. Bias for Action: Comfort with ambiguity in a fast-moving, startup-style environment. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We’re looking for a Staff Product Designer to join our Ventures team in London. You’ll be the senior design voice on an early-stage product, taking it from first concept to a test-market launch and shaping it for global scale. About Ventures Ventures is DoorDash’s internal incubator, where we build the next generation of businesses adjacent to our core. We fund small teams with a strong sense of ownership and grow the investment as they hit clear milestones. Early on, teams build a Minimum Lovable Product and prove product-market fit in a single country. Successful initiatives graduate to new resources and new markets, with the chance to become the next billion-euro businesses at DoorDash. Ventures teams are scrappy and ambitious, chase goals that almost feel too ambitious, and thrive on a startup mentality and a high tolerance for ambiguity. We’re now placing bigger and more diverse bets than ever, and we need people with equal ambition and drive to build and scale, or sunset, some of our biggest experiments yet. What You’ll Be Doing Direction & Influence Set the design direction for a new product, turning customer and business inputs into a clear point of view and roadmap, deciding what to build. Become an expert on local market needs, shaping the experience around how customers and partners behave in each place. Partner with product, engineering, operations and commercial leaders as a trusted advisor who shapes the roadmap. Build like a founder: shape success metrics, share weekly updates and present at key business reviews. Craft & Delivery Build a differentiated experience that competes with the best in a crowded market where customer expectations are high. Design a scalable foundation for complex journeys such as payments, onboarding and matching supply with demand. Turn regulation into design, working with legal, finance and operations to make complex constraints feel simple. Raise the craft bar by mentoring designers, hosting critiques and building reusable systems and AI-assisted tools. What You’ll Need to Thrive 0-1 Ownership: Proven experience taking at least one product from 0-1, across a new product, market or startup. Craft Mastery: A portfolio of high-fidelity, shipped work that moved measurable outcomes. Product Thinking: You balance customer needs, business goals and feasibility, and frame ambiguous problems. Bias for Action: You’d rather ship and learn than polish in isolation. Systems and AI Fluency: You design reusable systems, prototype with AI and coach peers to do the same. Strategic Influence: You mentor designers and win over partners with differing priorities. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Brazil; Argentina Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're a product expert on our existing product and you're constantly the first to learn new products coming to market - Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Solutions Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in adoption, customer/partner enablement, digital CS programs, enterprise growth or similar role- at an AI-native or highly technical company with a large, low-touch book - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Language Requirements - Must be fluent in Spanish/Portuguese and English Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Growth Roles - Regional Adoption Lead - Other teams: Account Management, Digital CX or Deployment Strategist Location This role can be based in Argentina or Brazil We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Intellias Meet your recruiter Olha Yakuba olha.yakuba@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Principal Bulgaria, Poland, Spain Remote APPLY NOW REFER A FRIEND Intellias is seeking an experienced and highly motivated Agentic Software Engineer who is enthusiastic about AI and who is excited about creating real products using modern AI models, coding agents and AI-first engineering methods. We are seeking a capable software engineer who has adopted a new approach to software development – one of using AI not just as an assistant but as an integral part of the engineering process. What project we have for you A Market Intelligence Suite is being developed by our client in order to bring together and provide a visual representation of large amounts of market data, key performance indicators, and analytical insights from various markets, giving business users a full overview of market performance and trends. The product has already reached a workable stage and comprises a wide variety of dashboards, market views, KPIs and analytical features. The first version of the solution was developed by a small group of subject matter experts using AI-assisted or vibe-coding methods, not with the help of a traditional software development team. As the product keeps on growing and the number of feature requests rises, we are seeking an Agentic Software Engineer who will bring strong software engineering skills and at the same time keep up the speed, experimentation and AI-first approach that made it possible for the product to develop so rapidly. The engineer will work directly with domain experts who have a deep knowledge of the business ecosystem and will assist in turning their ideas and requirements into actual product capabilities. The position will involve carrying out rapid feature development with the aid of AI while at the same time following software engineering best practices. As well as developing new features, the engineer will assist in strengthening the technical basis of the product by introducing the relevant practices in the areas of architecture, authentication and authorization, security, testing, maintainability, observability and reliable delivery. It doesn’t involve the kind of development typically expected. What we’re after is someone who actually takes pleasure in experimenting with AI, who keeps up to date with new models and development tools, comes up with their own ideas, and always seeks out improved methods for building software using AI. What you will do Create and continuously improve new features and capabilities for the existing Market Intelligence Suite. Deal directly with specialists in the field to get a clear understanding of business requirements and then convert these into actual product features. Spread the dashboards, market views, key performance indicators, and analytical capabilities over a number of markets. Take responsibility for the development of a feature from the very first idea and the creation of a rapid prototype right through to its implementation and validation. Make extensive use of AI coding agents at all stages of the software development lifecycle, including during implementation, debugging, testing, refactoring and documentation. Make sure that the current AI-generated codebase is understood, its issues are acknowledged, and it is constantly improved. As the product develops, incorporate suitable software engineering best practices. Implement the authentication, authorization and access-control mechanisms and then improve them. Improve the application’s architecture, security, maintainability, testing, and reliability. As the product’s capabilities develop, incorporate further data sources, APIs, and external services. Improve logging, monitoring, observability, and troubleshooting capabilities. Quickly prototype new ideas, check them together with experts in the field, and make improvements according to the feedback. Keep on assessing new AI models, coding agents and development tools and incorporate methods that can enhance both the speed and quality of development. Identify actively the opportunities for new product features, automation and more efficient methods of solving business problems. Where suitable, question the current methods and suggest improved technical or product solutions. Assist the broader team in constantly improving its AI-first/agentic engineering practices. What you need for this A solid hands-on experience in software engineering and a record of developing modern web applications. Gaining practical experience by using AI coding agents and LLM-based development tools to develop actual software. A true passion for AI, agentic engineering and AI-assisted software development. Experience in using tools such as Claude Code, Cursor, Codex, GitHub Copilot or other similar AI coding environments. The ability to convert a business problem, a feature request, or a vaguely defined idea into a working product solution on one’s own. Have experience working with applications that involve large amounts of data, as well as with dashboards, analytics, and data visualization. A solid understanding of the architecture of modern web applications and of the principles of software engineering. An understanding of authentication, authorization, access control, and application security in a practical way. Gain experience in integrating applications with APIs, external services, and various data sources. The ability to understand, check, debug, restructure, and improve code that has been generated by AI. Having a good understanding of testing, maintainability, logging, monitoring and the reliable delivery of software. The ability to combine rapid experimentation and delivery with sustainable engineering practices. A strong sense of ownership and the capacity to work on one’s own without the need for detailed technical specifications. A strong product mindset, with a focus on solving business problems rather than just carrying out technical tasks. A proactive attitude means having the ability to question current methods, propose improvements, and introduce new product and technical ideas. A high level of curiosity together with a constant desire to experiment with new AI models, coding agents, tools, and workflows. Having strong communication and collaboration skills when working directly with business or domain experts. Experience gained through using JavaScript/TypeScript, Node.js, Python or other modern development technologies is relevant; yet the use of any particular technology stack is not a major factor in the selection process. Will be a plus Have experience in the development of market intelligence, business intelligence, analytics, or data-intensive products. Have implemented enterprise authentication, single sign-on, and role-based access control (RBAC) Knowledge of cloud platforms and contemporary methods of deploying applications. Have experience in developing analytics or conversational interfaces that are powered by AI Have experience in designing reusable agentic workflows or automation for software development Try out a variety of AI models and coding agents and then choose the appropriate tools for each particular task Examples of personal AI projects, prototypes, entries in hackathons, or internal products which show practical experimentation with AI-first development. There is a keen interest in new AI engineering tools and methods. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: UAE - Dubai; Poland; UK; Portugal Workplace: hybrid 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. The Role As Tech Lead, iOS, you’ll be the primary technical owner of the 1inch Wallet iOS application. This is a hands-on individual contributor role with no direct people management responsibilities. You’ll own the app’s architecture and development, improve its CI/CD workflow and monitor it after release. You’ll work on wallet features including perpetual trading, prediction markets and DeFi staking, collaborating with the Product Owner, Android Lead and QA. You’ll also use AI-assisted tools in development and testing, applying sound engineering judgement to the code and tests they generate. What you’ll do Own the iOS architecture and technical direction, balancing feature delivery, maintainability, performance and security. Build and improve modular, testable application components, and guide implementation across complex wallet flows. Implement wallet features and technical improvements across the iOS application. Integrate the application with backend services, blockchain networks and related wallet services. Work with Product, Android, Backend, Blockchain and QA on shared product behaviour, API integrations, test coverage and defect investigation Use AI-assisted tools in development and testing, reviewing and validating their output against engineering, quality and security standards. Protect sensitive information by keeping private keys, recovery phrases, credentials and user data out of AI prompts and inappropriate logs. Own and improve the iOS build and CI/CD workflow; monitor releases, investigate production issues and coordinate fixes and improvements to stability. Who you are You have strong hands-on iOS development experience with Swift, including experience building production applications. You have practical experience working on a Web3 product, such as a wallet, DeFi application or product integrating with blockchain networks, and an understanding of crypto and trading. You have experience with iOS build and CI/CD workflows and monitoring production applications. You have experience making technical and architecture decisions for an iOS application. You communicate technical trade-offs clearly and work well with Product, Android and QA. You are comfortable taking ownership of the iOS application while working independently as its primary iOS technical owner. You are pragmatic: you can move quickly while keeping reliability, security and maintainability in mind. You use AI tools thoughtfully, question their output and take responsibility for the code you deliver. Nice to haves Experience building or maintaining a non-custodial wallet. Experience with transaction signing, wallet recovery or transaction lifecycle flows. Experience building modular, testable applications and handling asynchronous operations and network failures. Experience with security-sensitive mobile functionality, mobile security reviews or incident response. Hands-on experience with UIKit or SwiftUI; experience with both is not required.

Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and the router deciding which model answers each request is ours too. The Auto Router Our promise is one enforcement layer for your AI: budgets, spend attribution, and model routing, applied before a request ever hits a model. The Auto Router makes the call: for every request, which model serves it. Eight open-source models whose input prices span more than 20×, cached input up to 50× cheaper than fresh, frontier providers on customers' own keys, and a coding agent that fires hundreds of requests before its task is done. Frontier-level task success at a fraction of the token cost: that sentence is the product, and it stays true only if the model inside the router keeps getting better. That model is yours. Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion. About the role Every request gets a decision: which model serves it. This is an applied-ML seat, not an infrastructure one. Platform engineers own the proxy, the streaming path, and the fleet. You own the model inside them: the training data, the objective, the evaluation, and the iteration loop that ships a better router every cycle. The problem: routing is a prediction problem wearing a product's clothes. For every request you predict the quality each candidate model would deliver, what it would cost, and how fast it would decode, and you have to be right enough, in aggregate, that the savings are real and the quality never dips below frontier. The data is messy: rollout outcomes from benchmark harnesses, per-request records from the live fleet, override signals, and token streams whose speed depends on the serving concurrency at the moment. Speed itself is a correctness variable: on deadline-bound agentic work, a model that decodes three times slower doesn't do the same work slower, it does less work. That's why naive cost-per-token objectives quietly optimize for the wrong thing. And the bar for evidence is high: a router change ships only after production-parity evaluation with error bars, then gets held to its numbers in live traffic. Stack: Python; PyTorch; SQL at scale (ClickHouse); OpenAI- and Anthropic-compatible LLM APIs; benchmark and rollout harnesses (RouterBench-class); GitLab CI. Requirements You've spent 5+ years in applied ML or ML research, and you've trained, evaluated, and shipped models that make real-time decisions (ranking, recommendation, bandits, pricing, or LLM routing) and you can tell that story with receipts. Strong Python and SQL at scale: you can pull, clean, and interrogate millions of request-level records without waiting on anyone. You know the difference between a model that got better and an eval that got easier. You have real opinions about what LLM benchmarks measure, agentic harnesses included. You know enough serving reality (TTFT, decode speed, batching, prefix caching, concurrency) to model the objective honestly. You instrument before you optimize, error bars and all. A wide mandate excites you more than it unsettles you. Nice to haves You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts. Calibration, abstention, or conformal methods in production decision systems. You've run online A/B loops with drift monitoring on a model that touches real money. Responsibilities Own the routing model end to end: features, objective, training, calibration, and release cadence. Iterate it like a product, not a research artifact. Build the evaluation that gates every change: production-parity benchmarks, router-vs-router comparisons, holdouts by task family, error bars on pass rates. Nothing ships on vibes. Turn fleet data into training signal: per-request outcomes from production, benchmark rollouts, and override feedback, with failure categorization (infra vs task) so poisoned labels never reach the policy. Model the objective the user actually experiences: task success × token cost × wall-clock speed under the real concurrency regime, with cached-input economics in the picture. Run the online loop: shadow, A/B, full rollout, drift monitoring, retrain. When production disagrees with your offline eval, you find out why before the next ship. Push the frontier where it pays: calibrated decisions, abstention under uncertainty, speed-aware routing. We experiment on what a router should be, not just which model it picks today. Partner with platform engineers on instrumentation: the features and labels recorded per request (decode speed first-class among them) and the experiments the data path must support. What’s in it for you? Competitive salary (depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and we run the models underneath it ourselves. Kimchi Inference One API line and a customer's existing client just works: DeepSeek, GLM, Kimi, MiniMax, Nemotron served serverless from our own GPU fleet (OpenAI- and Anthropic-compatible, pay per token, spend visible per user, team, and key). When control matters, the same models run on the customer's own cluster instead. Behind that one line sits the machinery you'll own: SGLang and vLLM engines, B300 nodes, a shared cluster filesystem that holds every checkpoint exactly once, KV caches riding coding traffic with heavy prefix reuse, and the benchmark harness that gates every change we ship. Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion. About the role Throughput. Latency. Cold starts. Cost per token. Move those four numbers in the right direction and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every loader you tune, every scheduler decision you land, every kernel you stare at shows up in a customer's p99 and on our P&L. Your mandate is the inference stack's optimization, whatever it takes, and the technical direction of how we optimize it is yours to argue with data. The problem: the checkpoints run 0.3-1.5 TB, and the "right" serving configuration depends on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, and quantization tolerance, all variables that shift week to week. Most teams pick a configuration once, over-provision GPUs, and absorb the cost. We don't: we took Kimi-K3 (1.5 TB) from over an hour cold-to-serving to under twelve minutes with a shared filesystem, O_DIRECT weight loaders, and node-local JIT caches, and we're nowhere near done. Prefill/decode disaggregation and tiered KV caches are next. Stack: Python; SGLang; vLLM; TensorRT-LLM; PyTorch; fastsafetensors; CUDA-adjacent tooling; Kubernetes; virtiofs shared filesystems; ClickHouse; OpenTelemetry; Prometheus; Grafana; GitLab CI. Requirements You've built real ML systems for 5+ years, and your portfolio shows depth in inference or training infrastructure, not just model training notebooks. Your Python is production-grade: services, not scripts. You've run vLLM, SGLang, or TensorRT-LLM for real, and you have a working mental model of why an engine performs the way it does on a given GPU. You've measured quantization regressions, not just compression ratios. Multi-GPU and multi-node setups hold no fear: tensor and expert parallelism, collective communication, and their practical failure modes. You know where the bytes live (page caches, O_DIRECT, network filesystems under terabyte-scale reads) and how fast they move. You instrument before you optimize, and you can tell a real win from a benchmark artifact. A wide mandate excites you more than it unsettles you. Nice to haves You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts. Calibration, abstention, or conformal methods in production decision systems. You've run online A/B loops with drift monitoring on a model that touches real money. Responsibilities Push throughput. Continuous batching, chunked prefill, speculative decoding with draft models, CUDA-graph capture, and scheduler tuning across the engine fleet. Find the ceiling on each GPU SKU, then raise it. Cut latency. Attack TTFT and inter-token latency separately; profile to find the actual bottleneck (compute, memory bandwidth, scheduling, storage, or network) and fix it, not the one you assumed. Get more out of the KV cache. Hierarchical and paged attention, prefix caching on heavy-reuse coding traffic, eviction policies, quantized KV. A lot of the unrealized throughput lives here, and you'll own it. Kill cold starts. Weight loaders (O_DIRECT, fastsafetensors-class), JIT and compile caches, shared-filesystem read paths. A 1.5 TB checkpoint has no business taking an hour to reach serving. Quantize without regressing quality. INT8/INT4, FP8/FP4 across weights, activations, and KV, measured on real workloads, not just perplexity benchmarks. Scale across nodes. Distributed inference topologies, network-aware placement, prefill/decode disaggregation, checkpointing strategies that don't bottleneck on storage or interconnect. Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments. What’s in it for you? Competitive salary (depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Remote — North America (Aligned with U.S. Time Zones) Workplace: Remote COMPANY At 0x https://0x.org/, our mission is to "Create a Tokenized World Where All Forms of Value Can Flow Freely". We deliver this to web3 builders with a delightfully simple suite of developer APIs that provide faster trading, better prices, and superior user experience. Founded in 2017, we’ve processed over 211M+ transactions and $180B+ in trading volume from users trading on Matcha, Coinbase Wallet, Robinhood Wallet, Phantom, Rainbow, DefiLlama, MetaMask, Zerion, Zapper, and many more. Our investors include Greylock Partners, Pantera Capital, and Jump Crypto. When you join 0x, you’ll become part of a veteran team of crypto builders who know the importance of code quality, team cohesion, and a culture of learning. About the role We are looking for a Senior Brand Designer to help elevate the visual identity of two very different brands across every touchpoint: 0x https://0x.org/, our onchain routing infrastructure, and Matcha https://matcha.xyz/, our consumer DEX aggregator. Today, the biggest priorities are sales enablement, web design and social graphics, with about 90% of your time spent on 0x and 10% on Matcha. This is a senior, hands-on role for a designer who can move fluidly between high-craft visual design and the practical demands of a fast-moving marketing and sales function. As the only designer on our marketing team, you’ll play a key part in shaping how the 0x and Matcha brands look and feel. The role requires an overlap with US Pacific hours. What you’ll do - Evolve visual identity and brand guidelines for 0x. - Design and maintain a library of sales enablement assets: pitch decks, one-pagers, case studies, proposal templates and partner kits. - Design web pages, including landing pages, product pages, and comparison pages. - Design social graphics for both 0x and Matcha. - Design for campaign launches and major sales or industry moments, from concept through final assets. - Build brand and marketing templates and components that non-designers can use confidently across campaigns, social and sales materials. - Stay current on crypto, DeFi and fintech design trends. What you’ll bring - 4+ years of brand design experience, including at least 1 year in crypto, DeFi or emerging tech. - A portfolio of shipped brand work across web, social and sales materials. - A track record of shaping and extending a visual identity, not just working within one. - Strong typography and layout skills. - Expert-level Figma skills, including building reusable templates and components. - Fluency with AI design tools, and experience using them to raise both the speed and quality of your work. - Experience partnering closely with marketing and sales teams, translating business goals into design. - Excellent communication skills, with the ability to present and defend design decisions. - A bias for action: you get things done without waiting to be asked and adapt quickly as priorities shift. - Alignment with our core values https://0x.org/post/the-0x-mission-and-values: do the right thing, consistently ship, and focus on long-term impact. - Ability to attend annual in-person team offsites around the globe. Nice to have - Experience building pages in Webflow, plus basic HTML/CSS. - Experience taking a website redesign from concept to launch. - Illustration and basic motion design skills. - Experience designing for both B2B and B2C audiences. BENEFITS - The base salary range for this position is USD $120,000 - $180,000 + equity + ZRX tokens + benefits. Within the range, individual pay is determined by job-related skills, experience, location, business needs, and candidate preferences between the different compensation elements. - Comprehensive insurance (medical/dental/vision/life/disability) for U.S.-based employees — 100% of base plan covered for you and dependents - 401k and FSA for U.S.-based employees - Monthly mobile phone bill, wellness, and pre-tax transportation expense - Covered mental health benefits (included professional therapy sessions) - A supportive remote environment - Lunch reimbursement for all employees across the globe! - Stipend for your ideal remote / WFH set-up: headphones, and any other work gear you may need - 12-week paid parental leave - Great office conveniently located in the SF Financial District for those in the region! - Flexible vacation: Take time when you need it (and we really mean it!) 0x and its associated entities are dedicated to fostering diversity, inclusion, and belonging in its teams and workforce, and are proud to be equal opportunity employers. 0x does not make employment or hiring decisions on the basis of race, color, creed, religion, sex (including those who are pregnant or have given birth), sexual orientation, gender, gender expression or identity, age, disability, medical condition, genetic information, military or veteran status, marital status, pregnancy, citizenship, national origin, immigration or citizenship status, political affiliation, or any other basis that is protected by applicable local, state, or federal laws. This includes not making such decisions based on the status itself, as well as any associations, perceptions, and assumptions made regarding these statuses. 0x will also consider qualified applicants with arrest and conviction records in a way that is consistent with San Francisco’s Fair Chance Ordinance and similar local laws. Our commitment to equal employment opportunity extends to ensuring that all applicants and employees can perform to their fullest potential, including through obtaining reasonable accommodations when necessary.

Key Requirements: — 3+ years of commercial experience in a relevant role. — Strong expertise in Asterisk (versions 13 and above). — Hands-on experience building and maintaining VoIP solutions for contact centers or fintech environments. — In-depth understanding of SIP and RTP protocols, including NAT and QoS. — Experience configuring and managing SIP trunks. — Experience configuring IVR workflows, agent queues, and skill-based routing, including fallback and overflow logic. — Experience with call recording, CDR, and CEL. — Strong Linux administration skills (Ubuntu/Debian) in production environments. — Practical experience securing VoIP infrastructure, including protection against brute-force attacks, Fail2Ban, firewall configuration, ACLs, and rate limiting. — Experience integrating Asterisk with external systems, including CRM, billing, antifraud solutions, and APIs. — Experience using AMI / ARI to integrate Asterisk with backend systems. — Understanding of financial systems requirements, including reliability, auditability, and logging. — Ability to quickly understand and troubleshoot complex or legacy systems. Responsibilities: — Maintain and continuously improve the company’s telephony platform. — Ensure the stable operation of support, collections, and sales communication channels. — Configure and maintain IVR menus, call queues, and routing logic in line with business processes. — Integrate the telephony platform with internal services, including CRM, backend systems, and billing. — Ensure high availability and minimize system downtime. — Monitor call quality and key performance metrics, including SLA, ASR, and ACD. — Identify and resolve latency and call-quality issues. — Optimize system performance and support infrastructure scaling. — Upgrade and improve the existing VoIP infrastructure. — Create and maintain technical documentation covering call flows, routing, and integrations. — Collaborate with cross-functional teams, including backend, support, and security.

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What the job involves We are looking for a highly analytical and detail-oriented Data Analyst, Incentives & Commercial Reporting to join our growing team in Ebene, Mauritius. Reporting to the Manager of Incentives & Commercial Reporting, you will be the analytical backbone of our commercial performance, executing the data workflows that ensure our global sales teams are incentivized correctly and our revenue insights are flawless. At Checkout.com http://Checkout.com, "high performance is a science, not an accident." In this role, you will live in the data that proves that science. You will own the day-to-day execution of complex datasets, build and maintain crucial dashboards, and calculate the commercial compensation that drives our frontline teams. This is a role for a naturally curious problem-solver who loves digging into the numbers to find the truth and automate away friction. What you will be doing - Incentive Execution: Calculate, audit, and administer commercial compensation and bonus plans. You will dive deep into the data to ensure every payout is accurate, transparent, and delivered on time. - Data Investigation & Reporting: Maintain the commercial reporting cadence. You will extract and manipulate raw data to build an unvarnished view of business performance, helping to move the needle from estimation to predictability. #NoRoomForApproximation - Dashboarding & Tech Stack Utilization: Leverage BigQuery, Looker, and advanced Google Sheets to build and maintain the dashboards that act as our single source of truth. - Process Optimization: Identify manual bottlenecks in our current reporting workflows and help architect automated, scalable solutions. You won't just report the data; you will improve how it flows. - Workflow Automation: Design, construct, and manage automated workflow solutions to eliminate repetitive manual bottlenecks across commercial reporting and incentive management. - Strategic Support: Partner closely with your Manager and the wider Revenue Operations team to translate complex datasets into clear, actionable insights for Commercial Leaders. #OneTeam About you - Data-Driven Problem Solver: You have 2–4 years of experience in Data Analytics, Revenue/Sales Operations, Finance, or a similarly analytical role within a fast-paced environment. - Quantitative Foundation: You hold a qualification in Mathematics, Economics, Finance, or another highly quantitative degree. - Technical & Coding Chops: You possess strong programming skills (e.g., Python, SQL) and hands-on experience with advanced developer tools and AI coding assistants like Claude Code. You have practical exposure to BigQuery for data manipulation and experience building scalable visualizations in Looker. - Spreadsheet Master: Advanced proficiency in Google Sheets is non-negotiable. You are highly comfortable with complex formulas, large data sets, and financial modeling. - Detail-Obsessed Storyteller: You have a meticulous eye for detail and the ability to look at a raw dataset and pinpoint exactly where the anomalies or opportunities lie. - Adaptable & Fast-Moving: You thrive in an environment where priorities shift and you are comfortable with ambiguity. You pivot quickly to maintain momentum and deliver results. #PaceMatters - Software Engineering Mindset: You apply modern software engineering practices to data workflows—leveraging version control, modular code, and automated testing to build robust, maintainable data pipelines. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten has emerging co-sell relationships with multiple strategic marketplaces and clouds, including OpenAI https://www.baseten.co/talk-to-us/openai/?utm_source=google&utm_medium=paid_search&utm_campaign=acquisition_ICA-OpenAI-Partnership_2026-09-30&utm_term=baseten%20openai&utm_campaign=Search+-+Models&utm_source=adwords&utm_medium=ppc&utm_id=24316507588&hsa_acc=9990356727&hsa_cam=24316507588&hsa_grp=199416272086&hsa_ad=826599669780&hsa_src=g&hsa_tgt=kwd-2504168645905&hsa_kw=baseten%20openai&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=24316507588&gbraid=0AAAAAqCKh1tZ-ESp-CbtgHnyoj6pkRZGL&gclid=CjwKCAjw56zWBhB0EiwAdPOQOTzW3Bhx_UxkJI6XA8gB1rqClDpNVWFQtTzWlO0RBCV5Xx_yB54yDxoCcd4QAvD_BwE, NVIDIA and other Hyperscalers, Model Labs, and Data Platforms. The task at hand is to enable and activate partner sellers and to ensure that our internal field teams are well-supported to work successful with partner teams. As Baseten’s Partner Enablement Lead, you'll turn each partnership into a repeatable field motion. You'll work out why a partner account executive should care about Baseten, which of their customers are a fit, and what joint execution looks like. Then you'll co-build what it takes for sellers on both sides to run that play: the value proposition, the account mapping, the talk tracks, the training, and the relationships with partner field leaders. As always, the work starts with earning partner attention. This is a strategic, hands-on role for an ecosystem GTM operator who peaks in enablement. Your work will include deep cross-functional collaboration, instructional design, content development, and training delivery. You won't own partner-sourced pipeline directly, but you will make those who do much more effective. Our partnerships span Hyperscalers, Model Labs, Semiconductors, Consulting and Systems Integrators, and Data Platforms. While much of what partner enablement looks will be in your hands to define, it will include getting in front of field sellers, developing co-sell opportunities, and driving adoption of marketplace incentives for customers to buy Baseten against the commitments they already have. You'll report to the Head of GTM Enablement & Productivity and work closely with our Partnerships, Sales, FDE, Marketing, and RevOps teams. WHAT YOU'LL DO Design the joint go-to-market motion with strategic partners - Build a working picture of each partner's field: seller roles, how they're paid and measured, what makes them bring in a third party, and what gets in the way. - Define joint value propositions, customer triggers, and target segments in partnership with our alliance leads and sales & revops leadership. - Turn those into co-sell plays with clear entry points, owners, and next steps for both sides. - Run account mapping with partner teams so the plays land on specific accounts, not just slides. Activate partner field teams - Activate partner sellers and their managers to be aware of Baseten, confident in when to pull us in, and motivated to do so. - Build relationships with partner field leaders, partner development managers, and ISV teams so enablement reaches the sellers who matter. - Plan and run activations by region and segment: field briefings, account planning sessions, joint office hours, and events alongside our partnerships team. - Teach both sides how marketplace and co-sell mechanics work, so those programs make deals simpler and faster to execute. Enable Baseten's own sellers on partner motions - Make sure our AEs, SAs, and FDEs know how to work a partner-sourced or co-sell deal: how to engage the partner rep, how attribution and credit work, and which plays to run. - Build or collate the playbooks, demos, and certifications our team needs, and keep them current as each partnership changes. - Bring partner content into our onboarding and GTM Academy so new hires learn the partner motion from day one. Measure and evolve programs - Define how we measure activation: trained and engaged partner sellers, joint account plans, co-sell opportunities registered, and partner-influenced pipeline. - Work with RevOps on the operational side of partner programs, including deal registration, marketplace private offers, and POC and MDF requests. - Report monthly to GTM leadership on what's working, what isn't, and advise on where to invest next. WHAT WE'RE LOOKING FOR - 5+ years in partner or alliance GTM, partner enablement, or field GTM at a cloud, data, AI, or infrastructure company. - Hands-on experience activating co-sell with at least one hyperscaler or major platform partner (Microsoft, AWS, Google Cloud, NVIDIA, or similar). - You think in pipeline and seller behavior as well as in curriculum. You can explain a joint motion end to end, from partner incentives to the first customer meeting. - Enough technical depth to be credible with SAs and engineers on both sides. You don't need to be an ML engineer, but you should be comfortable learning inference, model serving, and GPU and token economics quickly. - You want to build: the play, the deck, the training, the measurement plan. You don't stop at the framework. - Comfortable working across teams you don't control, inside Baseten and inside partner organizations much larger than ours. Strong candidates may come from a mix of backgrounds such as: - Cloud alliances or partner GTM at a data or infrastructure ISV that co-sells with the hyperscalers. - ISV, partner development, or marketplace roles inside a hyperscaler or NVIDIA. - Partner enablement leadership at a technical company, with a track record tied to pipeline rather than training volume. - A partner-facing SA or SE who moved into enablement or GTM strategy. NICE TO HAVE - Experience with Microsoft co-sell programs, Azure Marketplace, or NVIDIA's partner and ISV programs. - Experience at an AI infrastructure, model provider, or developer platform company. - Built a partner function or partner enablement program from scratch at a growth-stage company. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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 Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. 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: $290,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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, United States; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity As a Deputy General Counsel for Employment, you will be responsible for global employment matters reporting directly to the Global Head of Employment Legal, who is located in the US. You will work closely with other members of the Legal team and business leaders throughout the company, but especially with our global HR, finance, and compliance departments. The ideal candidate will be based out of our San Jose, California or New York office. The right candidate will have an understanding of and enthusiastic belief in the cryptocurrency/digital asset space, 9+ years of experience working on employment matters for a top law firm as well as in-house at a fast-paced, brand-name business. We are looking for a teammate with strong academic credentials and excellent analytical skills. The ideal candidate will have strong expertise and experience in advising business leaders to produce quick analyses of issues related to employment law and HR, including recruiting, hiring, immigration, internal investigations, employee relations and employment litigation and arbitration. We offer a competitive base salary and bonus structure as well as excellent benefits and an opportunity to work in a cutting-edge industry that will be the future of financial services. What You’ll Be Doing Supporting the business by managing and handling legal HR, employment, and recruiting matters for the company and its global affiliated entities, with a primary focus on supporting OKX group operations in the US and across the globe. Supporting our HR, finance, compliance and recruiting departments on a daily basis by providing legal advice and guidance on all employment matters affecting the company; Driving the strategy and managing employment litigation and arbitration matters and retaining and supervising outside counsel; Supporting HR and compliance by advising on internal investigations and interviewing employees; Working with other members of the Legal team and business partners on legal issues and matters touching on employee retention, payroll, executive compensation, benefits, performance management, and immigration and visa issues; Build and uplevel employment legal processes and infrastructure, moving the function from ad hoc support toward a structured, best-in-class practice. Partner directly with senior regional leadership to operationalize their strategic direction. What We Look For In You Attorney licensed to practice law in the US. 9+ years of experience at a top-tier law firm and/or in-house legal team working on international employment matters; Comfortable working independently in a fast-paced, growth-stage and multi-cultural environment; Ability to effectively advise and build trust with business teams; Ability to work in a high-functioning legal team and feel comfortable in a collaborative working environment; Experience working on cross-jurisdictional matters and a global legal team; Ability to translate complex legal concepts into practical and actionable business advice for non-legal audiences; Drafting, reviewing and negotiating offer letters, employment agreements, incentive plans and severance agreements. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,355 - $300,533 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York, United States; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity As an Associate General Counsel for Employment, you will be responsible for global employment matters reporting directly to the Global Head of Employment Legal, who is located in the US. You will work closely with other members of the Legal team and business leaders throughout the company, but especially with our global HR, finance, and compliance departments. The ideal candidate will be based out of our San Jose, California or New York office. The right candidate will have an understanding of and enthusiastic belief in the cryptocurrency/digital asset space, 7+ years of experience working on employment matters for a top law firm as well as in-house at a fast-paced, brand-name business. We are looking for a teammate with strong academic credentials and excellent analytical skills. The ideal candidate will have strong expertise and experience in advising business leaders to produce quick analyses of issues related to employment law and HR, including recruiting, hiring, immigration, internal investigations, employee relations and employment litigation and arbitration. We offer a competitive base salary and bonus structure as well as excellent benefits and an opportunity to work in a cutting-edge industry that will be the future of financial services What You’ll Be Doing Supporting the business by managing and handling legal HR, employment, and recruiting matters for the company and its global affiliated entities, with a primary focus on supporting OKX group operations in the US and across the globe. Supporting our HR, finance, compliance and recruiting departments on a daily basis by providing legal advice and guidance on all employment matters affecting the company; Driving the strategy and managing employment litigation and arbitration matters and retaining and supervising outside counsel; Supporting HR and compliance by advising on internal investigations and interviewing employees; Working with other members of the Legal team and business partners on legal issues and matters touching on employee retention, payroll, executive compensation, benefits, performance management, and immigration and visa issues; Build and uplevel employment legal processes and infrastructure, moving the function from ad hoc support toward a structured, best-in-class practice. Partner directly with senior regional leadership to operationalize their strategic direction. What We Look For In You Attorney licensed to practice law in the US. 7+ years of experience at a top-tier law firm and/or in-house legal team working on international employment matters; Comfortable working independently in a fast-paced, growth-stage and multi-cultural environment; Ability to effectively advise and build trust with business teams; Ability to work in a high-functioning legal team and feel comfortable in a collaborative working environment; Experience working on cross-jurisdictional matters and a global legal team; Ability to translate complex legal concepts into practical and actionable business advice for non-legal audiences; Drafting, reviewing and negotiating offer letters, employment agreements, incentive plans and severance agreements. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $171,733 - $257,599 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk. EXAMPLE INITIATIVES - How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/ - Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts - Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived RESPONSIBILITIES Team Leadership and Culture - Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise - Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence - Provide regular coaching, feedback, and career development support to your direct reports - Own on-call health for the team’s services, including escalation paths and follow-through on incidents Technical Direction - Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events - Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them - Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files - Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on - Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network - Review designs and code across the area, and take on hands-on work where it unblocks the team - Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team Cross-Functional Partnership - Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need - Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs - Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on - Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability - Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership REQUIREMENTS - Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management - Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions - Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts - Understanding of how container images are structured, stored, and delivered at scale - Strong written and verbal communication skills, with the ability to influence without authority across teams NICE TO HAVE - Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects - Familiarity with lazy-loading snapshotters or peer-to-peer image distribution - Experience with EROFS, FUSE, ublk, or io_uring - Experience building or operating CDN, object storage, or large-scale caching infrastructure - Experience running storage services on Kubernetes BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).