Вакансии

Location: APAC 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an AI Infrastructure Engineer to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable long-term memory , knowledge graph infrastructure , and robust context management systems . You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems. What You’ll Be Doing Architect and implement long-term memory infrastructure for AI agents , including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning. Design and own end-to-end GraphRAG and knowledge graph pipelines , from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems. Build scalable context management infrastructure , elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning. Translate advanced agent research into production-grade systems , prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability. Ensure reliability, observability, and governance of agent infrastructure , including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience . Possess a deep expertise in at least one of the following areas: long-term memory , knowledge graphs , or context management . Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Our Ubuntu Engineering teams build the operating system platform used by millions of developers, enterprises, device makers, cloud providers, and open source communities worldwide. Location: We have remote roles open in every time zone. About the team The Ubuntu Foundations Package Management team , as part of the broader Ubuntu Foundations organisation, develops and maintains the software management infrastructure that underpins every Ubuntu system. The team owns technologies at the heart of Ubuntu's software, driver, firmware, and upgrade experience, including APT, dpkg, firmware management, and driver management. Its mission is to provide the technologies that enable Ubuntu systems to be installed, maintained, updated, upgraded, and managed throughout their lifecycle. The team balances innovation with the stability and reliability expected from one of the world's most widely used Linux distributions. The team works across the full engineering lifecycle, from roadmap definition and architecture through implementation, testing, release engineering, and upstream collaboration, ensuring the continued evolution of the technologies that manage software, drivers, firmware, and upgrades across Ubuntu systems. The Role We are looking for a Software Engineering Manager to lead the Ubuntu Foundations Package Management team . This is a technical leadership role combining people management with active engineering involvement. You will lead a team of experienced engineers responsible for the package management and system lifecycle technologies that underpin Ubuntu. Working closely with stakeholders across Ubuntu Engineering, you will define technical direction, grow engineering talent, build strong cross-team partnerships, and ensure the continued evolution of Ubuntu's software, driver, firmware, and upgrade experience. You will report to the Ubuntu Foundations Engineering director  and collaborate closely with other Ubuntu Engineering teams, including Desktop, Server, Security, Release Engineering, Launchpad, Debcrafters, OEM, and Product. What You’ll Do Technical Leadership Define the technical vision and roadmap for Ubuntu's package management and system lifecycle platform Participate in design reviews and key technical decisions affecting software management and system lifecycle technologies across the Ubuntu ecosystem Promote high standards for performance, reliability, security, and maintainability Team Leadership Lead and support a team of engineers responsible for key Ubuntu platform technologies. Mentor and grow engineers, helping them expand their technical leadership, ownership, and organizational impact Foster a culture of ownership, collaboration, and continuous improvement Delivery and Engineering Excellence Plan and deliver improvements across multiple Ubuntu release cycles Balance innovation with stability, compatibility, and long-term maintainability Improve test automation, release quality, and operational reliability Collaboration and Community Build strong partnerships across Ubuntu Engineering, including Release Engineering, Launchpad, Desktop, Server, Security, OEM, and Product teams Collaborate with Debian, upstream projects, and the Ubuntu open source community What We Are Looking For Required An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Strong background in software engineering and system design Experience leading engineering teams, including people management, coaching, and performance development Experience developing or operating Linux distribution technologies, package management systems, or software distribution infrastructure Strong understanding of systems software and operating system architecture Excellent written and verbal communication skills Ability to work effectively in a globally distributed engineering team Ability to travel twice a year, for company events up to two weeks each Nice to Have Familiarity with package repositories, archives, or release engineering processes Experience contributing to Debian, Ubuntu, or other open source infrastructure projects Performance, reliability, or security engineering experience We know that strong candidates may not meet every qualification. If you are excited by this role and our mission, we encourage you to apply. What Success Looks Like First 3 Months Build strong relationships with the team and stakeholders across Ubuntu Engineering Gain a deep understanding of Ubuntu package management, update flows, archive interactions, and release processes Identify key improvement opportunities in reliability, test coverage, engineering processes, and product quality First 6 to 12 Months Establish strong partnerships with stakeholders across Ubuntu Engineering, including Release Engineering, Launchpad, Desktop, Server, Security, OEM, and Product Grow the team and raise the overall level of engineering excellence, ownership, and technical leadership Improve roadmap clarity, planning, and execution across the team's portfolio Deliver meaningful improvements to Ubuntu's package management and system lifecycle platform What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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 We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making. You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics. You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning. RESPONSIBILITIES - Design and maintain core data models and semantic layers - Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks - Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools - Define and maintain company-wide metrics across product usage, performance, and customer lifecycle - Enable self-service analytics through agents and tools, with well-structured semantic layers and context - Ensure data reliability and quality through testing, documentation, and governance PREFERRED QUALIFICATIONS - Understanding of inference metrics such as latency, throughput, token usage, and model performance - Experience supporting B2B SaaS and/or consumption-based platforms - Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes 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: Toronto; London; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT COHERE AND NORTH Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations' infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models with customizable integrations to drive productivity and innovation at scale. ROLE OVERVIEW We are seeking an Agent Harness Product Manager to own the execution layer that makes North agents reliable, capable, and production-ready. This is a role that sits at the intersection of three domains: Agent Loop and Execution. Own the core agent runtime: tool orchestration, parallel execution, sub-agent delegation, sandbox code execution, and failure recovery. You will define how North agents plan and act across long, multi-step workflows and ensure the execution environment is robust enough for the most demanding enterprise tasks. You are expected to engage at the implementation level, contributing to architecture decisions alongside engineering rather than simply handing off requirements. Context Engineering. Own how our Agents manage the context window as a deliberately controlled resource. This includes progressive disclosure of tools and skills, context compaction and summarization, offloading of large payloads to a persistent filesystem, and the instrumentation that keeps agents oriented across extended trajectories. Model-Scaffolding Co-evolution. Own the feedback loop between North's harness and the Modeling Team. This PM is the connective tissue that makes that possible: ensuring harness design decisions are validated by Modeling before they are built, that evals are the shared bridge between both teams, and that as the harness evolves the model evolves with it. RESPONSIBILITIES - Define and own the roadmap for North's agent harness, including the agent loop, context engineering layer, tool orchestration, sandbox execution, and sub-agent delegation - Serve as the primary interface between North engineering and Cohere's Modeling team, ensuring new harness capabilities are validated before being built and that neither team paints itself into a corner - Own North's agentic evaluation framework, ensuring evals are compatible with both the North harness and Modeling's training infrastructure, and that they serve as a reliable bridge between product and research - Engage enterprise customers to surface real-world agentic failures and translate findings into concrete product and model requirements - Partner with the agentic expert modeling team to define goals that maximize the impact of our models and prioritize model capabilities and evals most critical for delivering on those goals. Establish a clear roadmap for our agentic modeling capabilities. - Stay current with the open-source and commercial agent ecosystem and drive adoption decisions that keep North's architecture aligned with emerging standards. REQUIREMENTS - 5+ years of product management experience as a research PM, in agentic AI systems,, or applied ML products - Deep understanding of agentic harnesses, including the latest paid and open source offerings. - Deep understanding of modern LLM agent architectures, including multi-agent systems, tool-augmented reasoning, memory and retrieval, programmatic orchestration, RAG, and long-horizon execution - Strong grasp of agentic evaluation design, including how to measure task completion, failure recovery, and long-horizon reliability, and how to diagnose model vs. scaffolding gaps - Technically deep enough to contribute to architecture decisions at the implementation level: comfortable reviewing and shaping design docs, reasoning about async execution patterns, sandboxed environments, filesystem design, and the tradeoffs that come with building harness capabilities into a production platform - Ability to flex between ML research conversations and engineering architecture discussions with equal fluency - Track record of shipping platform-layer products with demonstrated impact on reliability, performance, or capability. NICE-TO-HAVES - Direct experience in developing and shipping leading agentic harnesses. - An active practitioner of agent frameworks who regularly builds with and follows the latest developments in open-source harnesses, coding agents, and orchestration tools in both professional and personal work - Hands-on experience with enterprise agentic deployments: multi-tenant orchestration, tool permissioning, audit trails, and compliance requirements - Familiarity with infrastructure constraints relevant to enterprise deployments: on-premises environments, scalability challenges, and the operational tradeoffs of running complex agent workloads in restricted or air-gapped settings - Prior work at the intersection of research and product, translating nascent model capabilities into shipped product features - Background working within or closely alongside an ML research or post-training team. WHY JOIN COHERE? - Impact: Shape how Canada's most important public institutions adopt and deploy frontier AI. - Innovation: Work alongside leading researchers and engineers solving complex ML challenges. - Growth: Competitive compensation, equity options, and opportunities for professional development. - Flexibility: Hybrid work model with offices in key global locations (Toronto, Montreal, New York, San Francisco, London, Paris, and Korea) FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

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 This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems. A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion. We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/ - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs. - Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models). - Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda. - Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence. - Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems. - Mentor junior researchers and shape the technical direction of the research organization as it grows. PREFERRED QUALIFICATIONS - Master’s or PhD research depth in machine learning, with first-author publications at top venues - Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work - Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built - Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years - Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology) - Track record of open-source contributions or community building in ML research OUR VIEW ON TALENT Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat. 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, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Security Engineer you will identify and drive impactful projects to improve the security of Figma’s product, platform, and IT systems. We are hiring for multiple teams within Security Engineering: AI Security, Platform Security, Product Security, and Anti-Abuse. This is a remote first role. You will partner closely with teams across the company and focus on systemic security improvements and risk reduction. You will also participate in operational security responsibilities like security reviews, consulting, vulnerability triage, and security incident response. Examples of what you may work on across teams: AI Security Perform technical security assessments, code audits, and design reviews for new AI infrastructure, platforms, and products. Design and develop technical solutions to secure AI models, tooling, debugging workflows, and data pipelines. Advocate for secure practices across Figma’s AI infrastructure, platforms, and data systems. Build the next generation of internal AI-powered access insights and security tooling. Help run penetration testing and offensive security exercises against Figma’s AI infrastructure, platforms, and products. Platform Security Perform technical security assessments, code audits, and design reviews for changes to Figma’s cloud and corporate infrastructure. Design and develop solutions to prevent or mitigate cloud and corporate security risks. Advocate for secure practices within Figma’s cloud and corporate infrastructure. Build platforms and tooling to detect and respond to infrastructure and corporate security threats. Product Security Perform technical security assessments, code audits, and design reviews for new product features. Design and develop solutions to prevent or mitigate product security vulnerabilities. Advocate for secure development practices across Figma’s products and services. Help run penetration testing, offensive security exercises, and support our bug bounty program. Help respond to product security incidents. Anti-Abuse Design and build technical systems to prevent spam, fraud, and abuse. Partner closely with product teams to identify and address potential abuse vectors. Develop new signals and improve the use of existing signals to detect abusive behavior. Help respond to spam, fraud, and abuse incidents. This is a full-time role that can be held from one of our US hubs or remotely in the United States. We’d love to hear from you if you have: 5+ years of proven engineering experience working in either a Security Engineering or a Software Engineering role. In the case of the latter, some security experience is preferred. Strong security judgment in threat modeling and risk prioritization and/or strong technical judgment in designing and building maintainable, scalable systems. Proficiency in at least one general-purpose coding language. Strong communication and interpersonal skills, with demonstrated experience collaborating across functions. While not required, it’s an added plus if you also have: Subject matter expertise in Application Security, Cloud Security, Corporate Security, Data Access Governance, and/or IAM (Identity and Access Management). Demonstrated ability to make hard prioritization decisions in security controls. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. #LI-Remote Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Remote (Canada, UK, EU) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE Working with Workplace customers (B2B) means being at the front line in our efforts to support healthcare facilities in delivering better care. The Workplace team is unified by our common goal: to represent our obsession with the customer experience through thoughtful action. Clipboard is looking for highly motivated, customer-focused individuals to join our team as B2B Client Support Specialists (Workplace Support Agents). This role is open to candidates of all experience levels—what matters most is your ability to handle business customers professionally and solve problems effectively. No specific degree required. SUCCESS FACTORS - Customer-Centric Mindset – You genuinely care about helping customers and take ownership of their problems. - Strong Communication Skills – Clear, professional English (both spoken and written) is critical for success in this role. - Proactive Problem-Solving – You don’t just follow scripts—you think critically and find long-term solutions for customers. - High Accountability – We value people who hold themselves to high standards and consistently deliver results. Responsibilities - You will engage with our Workplace customers over both voice and email correspondence. - Deliver fast, accurate, and empathetic support to our workplace customers across voice and email, resolving shift, payment, and platform-related issues in real time - Navigate tools like Zendesk and the Clipboard portal to investigate cases, update form fields, log clear internal notes, and maintain accurate documentation - Apply sound judgment and critical thinking to troubleshoot issues, follow or adapt workflows, and escalate only when necessary - Develop deep expertise in our products and processes to identify recurring issues or process gaps, helping improve both customer experiences and internal operations. - Work cross-functionally with teams such as Billing, Account Management, and Worker Operations to gather the necessary information and ensure customer issues are resolved effectively - Uphold our values https://www.clipboardhealth.com/careers such as unreasonably fast, ownership, and uncomfortably high standards in every interaction Why Join Clipboard? - 100% Remote – Always. Work from anywhere in the world. - Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth. - A Hiring Process That Rewards Skills, Not Just Experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials. - Opportunity to make a significant impact with our workplace customers Hiring Process 1. Application 2. Case Study 3. Interview with Hiring Manager 4. Executive Interview 5. Offer Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel is hiring a Strategic Cloud Partnerships Lead to own and grow our relationships with the cloud and infrastructure companies that underpin our platform and help us reach enterprise customers. This role sits at the intersection of infrastructure, product, and go-to-market. You will work with Vercel’s Product and Engineering teams to understand how we use our partners’ infrastructure today, identify where deeper technical collaboration could improve our platform or economics, and turn those opportunities into executable partnership strategies. At the same time, you will build joint go-to-market motions that create pipeline, accelerate enterprise deals, and make Vercel more strategic to our partners’ field organizations. This is a hybrid position, based in San Francisco, with in-office anchor days on Monday, Tuesday, and Friday. What you'll do Own a named set of strategic cloud partners end to end, with accountability for the health, growth, and business impact of each relationship Develop a clear strategy and joint business plan for each partner, covering technical priorities, commercial opportunities, go-to-market motions, investments, and measures of success Build a detailed understanding of how Vercel uses each partner’s infrastructure today and identify opportunities to improve performance, reliability, geographic reach, product capabilities, or unit economics Build the business case for new initiatives: size the opportunity, define the customer value, scope the technical investment, model the economics, and give leadership a clear recommendation Develop and execute joint go-to-market motions, including co-selling, account mapping, marketplace programs, solution development, field enablement, demand generation, and executive engagement Lead negotiations involving cloud consumption, commercial commitments, marketplace terms, co-sell investments, product integrations, and joint customer offerings Lead cross-functional teams across Product, Engineering, Infrastructure, Sales, Marketing, Finance, and Legal to move initiatives from concept through agreement, launch, and growth What you need 8+ years of experience in cloud partnerships, strategic alliances, business development, enterprise sales, or a related role at a cloud, infrastructure, developer tools, or platform company A track record of building and growing strategic relationships with major cloud or infrastructure providers Strong go-to-market experience, including developing joint value propositions, launching co-sell motions, creating pipeline, and helping close complex enterprise opportunities Strong technical fluency across modern cloud infrastructure and application delivery. You do not need to be an engineer, but you can understand architectures, ask incisive technical questions, and earn credibility with product and engineering teams Commercial judgment and experience negotiating complex agreements, including cloud commitments, marketplace terms, co-sell structures, or joint product initiatives Strong agency and comfort with ambiguity. You identify what matters most, decide where to invest, and can defend the choice Excellent written and verbal communication with executives, technical leaders, field teams, and customers Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA salary range for this role is $297,000 - $362,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: New York, NY (HQ) 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. Join our growing Ops Engineering team and help build internal tooling and infrastructure that empowers operators at Ramp. As an internal-facing team, you'll work directly with our operations teams to design, implement, and scale tools and systems that enable them to serve our customers more efficiently and effectively. Much of our work involves managing the Retool platform, building custom tooling on top of platforms like Zendesk, developing internal API to support internal operations, and creating operator-facing applications that help our ops teams move faster and deliver better customer experiences. Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! The Ops Engineering team is highly cross-functional, working closely with operations, customer support, and other internal stakeholders to solve a wide range of infrastructure and tooling challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling them in production. We value people who take pride in their work, and show an aptitude for learning quickly whether they're familiar with our stack or not. You'll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We are intentionally pushing to use AI to automate workflows end-to-end, reducing manual toil and standardizing patterns across Retool, Zendesk, and our internal APIs. What You'll Do - Design and build full-stack internal applications and tools that empower operations teams to work more efficiently and deliver exceptional customer experiences - Develop robust backend services and APIs that power internal tooling, ensuring scalability, reliability, and performance - Build integrations with third-party platforms like Retool, Zendesk, and other operational systems to create seamless workflows - Leverage AI tooling and capabilities to build intelligent automation, enhance operator productivity, and improve decision-making within internal tools - Create data-driven features and analytics that provide operations teams with actionable insights and improved visibility - Collaborate closely with operations stakeholders to understand pain points, gather requirements, and iterate on solutions that solve real business problems - Write clean, maintainable, and well-tested code following software engineering best practices - Participate in code reviews, mentor team members, and contribute to the growth of engineering culture - Own features end-to-end from design through deployment, monitoring, and iteration based on user feedback - Participate in an On Call rotation to resolve critical issues impacting internal users What You'll Need - 5+ years of software engineering experience building and shipping production applications - Strong proficiency in modern programming languages such as Python, TypeScript/Node.js, or similar - Experience building full-stack applications with modern frameworks (React, Next.js, or similar for frontend) - Solid understanding of backend architecture, API design, and database systems (PostgreSQL, Redis, etc.) - Demonstrated aptitude for working with AI technologies, including experience integrating LLMs, building AI-powered features, or applying AI to solve business problems - Experience building internal tools or working closely with non-technical stakeholders to understand and solve their problems - Strong product sense and user empathy, with ability to translate business requirements into technical solutions - Familiarity with cloud infrastructure (AWS preferred) and modern DevOps practices - Excellent communication skills and ability to work cross-functionally with operations, product, and engineering teams - Strong sense of ownership and bias toward action, with ability to move quickly and iterate based on feedback - Experience with platforms like Retool, Zendesk, or similar internal tooling platforms is a plus 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: Middle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems We are open to candidates currently based in the Middle East or who are open to travelling or relocating. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos. This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration. This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety. Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl. Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs. Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically. Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities. Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences. What We're Looking For Deep experience building AI-enabled product systems, not just running experiments. Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries. Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods. Ability to work fluently across backend engineering, product constraints, and user workflow design. Clear judgment about where agent systems should be flexible and where they should be constrained. Comfort working in ambiguous environments where patterns are still being invented. Why This Role Matters The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team. #LI-HYBRID #LI-DJ1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $251,835 — $314,794 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Hong Kong, Hong Kong SAR About the Role We are looking for a highly capable Senior Strategy PMO / Project Manager to join our CEO Office / Strategy PMO team. This role goes beyond traditional project management — you will operate at the intersection of strategy, execution, and organizational scaling , partnering closely with senior leadership to drive high-impact, cross-functional initiatives across the company. This is a high-exposure role suited for candidates who thrive in fast-paced environments and are comfortable navigating ambiguity, complexity, and executive-level expectations. Responsibilities Drive end-to-end planning and execution of company-level strategic initiatives, spanning product, engineering, risk, growth, and operational transformation. Partner with senior leadership to translate high-level strategies into executable roadmaps and delivery mechanisms. Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams. Identify cross-team bottlenecks and systemic inefficiencies, and drive structural solutions rather than one-off fixes. Lead high-complexity, cross-functional programs (e.g., trading systems, risk infrastructure, growth platforms, or platform-level transformations). Support and accelerate company-wide AI transformation initiatives, including: Driving AI adoption across product and operational workflows Coordinating cross-functional AI pilots and scaling best practices Building execution frameworks for AI-enabled delivery models Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making. Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity. Requirements 5–10 years of experience in strategy PMO, program management, or high-impact project delivery roles. Strong experience driving complex, cross-functional initiatives in fast-paced environments such as: Top-tier internet companies Global tech companies or scale-ups Fintech, trading, or platform-heavy organizations Proven track record of delivering technically complex programs (e.g., trading systems, risk controls, user safety, growth platforms, infra-heavy initiatives). Strong systems thinking — able to identify root causes and design scalable solutions. Excellent execution skills with a bias toward action and outcomes. Strong communication and stakeholder management skills, including experience working with senior executives. High ownership mindset with the ability to operate independently in ambiguous environments. Preferred Qualifications Background in technically intensive domains such as: Trading infrastructure or financial systems User risk control systems or user growth Platform architecture Experience in crypto, fintech, or global-scale platforms. Experience driving AI adoption in product, engineering, QA, or operational workflows. Bilingual (English + Mandarin) to collaborate effectively across global teams. 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: Hong Kong, Hong Kong SAR; Singapore, Singapore About the Role We are looking for a highly capable Senior Strategy PMO / Project Manager to join our CEO Office / Intelligence & Performance (IP) team . This role goes beyond traditional project management — you will operate at the intersection of strategy, execution, and organizational scaling , partnering closely with senior leadership to drive high-impact, cross-functional initiatives spanning growth, platform risk, and trading product experience . This is a high-exposure, high-intensity role suited for candidates who are genuinely hungry to build something meaningful — comfortable navigating ambiguity, complexity, and executive-level expectations, and willing to fight for outcomes rather than just manage process. Responsibilities Drive end-to-end planning and execution of company-level strategic initiatives, spanning growth, platform risk, trading product experience , and organizational transformation. Own the health and evolution of core trading/platform experience — identifying friction points across the user trading journey and driving cross-functional fixes at the root-cause level, not surface patches. Partner with senior leadership to translate high-level strategy into executable roadmaps and delivery mechanisms. Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams. Identify cross-team bottlenecks and systemic risk/inefficiency, and drive structural solutions rather than one-off fixes. Lead high-complexity, cross-functional programs (e.g., growth platforms, platform risk controls, trading systems, or platform-level transformations). Support and accelerate company-wide AI transformation initiatives, including: Driving AI adoption across product and operational workflows Coordinating cross-functional AI pilots and scaling best practices Building execution frameworks for AI-enabled delivery models Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making. Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity. Requirements 5–10 years of experience in strategy PMO, program management, or high-impact project/product delivery roles. Genuinely aggressive and entrepreneurial — someone who wants to build something real, is willing to grind through ambiguity, and treats this as a mission rather than a job. Strong independent thinking and critical reasoning — able to question assumptions, challenge existing frameworks constructively, and form your own point of view rather than just execute. Strong data analysis capability — comfortable working with SQL/data queries and dashboards independently, able to translate ambiguous business questions into structured analysis and defend conclusions with data, not just process narrative. Strong experience driving complex, cross-functional initiatives in fast-paced environments such as: Top-tier management consulting firms Top-tier internet companies (ToC product management background welcome) Global investment banks Fintech, trading, or platform-heavy organizations Proven track record of delivering technically or operationally complex programs (e.g., growth platforms, trading systems, platform risk controls, user safety/experience, infra-heavy initiatives). Strong systems thinking — able to identify root causes and design scalable solutions. Excellent execution skills with a strong bias toward action and outcomes. Strong communication and stakeholder management skills, including experience working with senior executives. High ownership mindset with the ability to operate independently in ambiguous environments. Preferred Qualifications Background in technically or commercially intensive domains such as: Growth / user acquisition platforms Platform risk control systems Trading infrastructure or trading product experience Prior experience as a ToC product manager at a leading internet company, or as a strategy/management consultant at a top-tier firm, or in investment banking (M&A, coverage, or strategy roles). Experience in crypto, fintech, or global-scale consumer platforms. Experience driving AI adoption in product, engineering, QA, or operational workflows. Bilingual (English + Mandarin) to collaborate effectively across global teams. 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: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an AI Infrastructure Engineer to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable long-term memory , knowledge graph infrastructure , and robust context management systems . You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems. What You’ll Be Doing Architect and implement long-term memory infrastructure for AI agents , including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning. Design and own end-to-end GraphRAG and knowledge graph pipelines , from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems. Build scalable context management infrastructure , elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning. Translate advanced agent research into production-grade systems , prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability. Ensure reliability, observability, and governance of agent infrastructure , including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience . Possess a deep expertise in at least one of the following areas: long-term memory , knowledge graphs , or context management . Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed 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! 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, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s distribution partnerships team is passionate about unlocking new sources of revenue and hyper-scaling growth through the power of strategic alliances. This includes accelerating go-to-market (GTM) efforts, driving adoption of Figma’s platform, and unlocking new use cases via our suite of AI tools. We are looking to hire an experienced business development and partnerships professional to scale our efforts with agencies, systems integrators, consultancies, and commercial partners (resellers) across the globe. This includes driving revenue growth and supporting customers across North America in both commercial and public sectors (government). This is not a channel sales role - we are focused on new critical initiatives and analyzing how partnerships best serve the long-term needs of Figma’s business. This is an exciting opportunity to join an emerging team at Figma where you will play an active role in shaping our long-term partner strategy. You will build new revenue-focused partner programs from scratch and scale our existing motions to better serve customers as Figma’s platform continues to evolve. This is a full-time role that can be held from our New York City or San Francisco hub - or remotely in the United States. What you’ll do at Figma: Identify, evaluate, and execute new strategic distribution opportunities that require complementary GTM partners, and onboard qualified organizations into Figma’s formal partner program Manage and grow relationships with service and commercial partners across AMER — including public sector and Federal clients — driving partner-influenced revenue and aligning on mutual success plans, critical metrics, and documented wins Partner with Figma’s GTM teams to source, scope, and progress partner-influenced opportunities, while identifying new co-marketing and co-selling motions that expand reach and unlock new use cases Evaluate and mature indirect sales motions in the context of Figma’s established sales model, recommending improvements that streamline execution and support long-term growth Educate and enable the partner ecosystem on Figma’s products, services, and AI capabilities, while building strong cross-functional relationships with Sales, Marketing, Customer Experience, Product, and other internal partners We'd love to hear from you if you have: 10+ years of professional experience in partnerships, business development, channel, or related GTM roles 3+ years of experience handling external GTM partners (e.g., SIs, agencies, consultancies, ISVs, resellers, marketplaces, or referral partners) Proven experience building partner programs or strategies from inception to execution, including defining important metrics and revenue goals Experience managing multiple strategic partner relationships simultaneously and driving measurable revenue outcomes While not required, it’s an added plus if you also have: Experience working with partners to influence or capture business within the U.S. Federal government Worked at a service organization or channel partner in a direct GTM capacity Sold to product, design, or technical audiences Familiar with UX/UI design principles, collaboration tools, or digital product development workflows Exposure to a sales methodology (e.g., MEDDICC, Command of the Message) At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI features measurably better. You'll set strategy across both, raise the bar on instrumentation and data quality, and push into AI-driven approaches to anomaly detection and operational automation. Observability was an unowned space at Figma until recently, so this is a rare chance to shape an early-stage, high-leverage platform that every engineering team here depends on. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow a 6 engineer team responsible for the reliability, scalability, and evolution of Figma's observability and AI observability platforms. Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and lets teams run evals to measure and improve AI feature quality. Own Figma's core observability stack, including platforms like Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces. Set the technical strategy for the instrumentation standards, libraries, agents, and operators that monitor services across the company. Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation. Partner across infrastructure, product engineering, finance, and security to give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows. Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution. We'd love to hear from you if you have: 4+ years of experience leading and growing engineering teams in infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale. A strong foundation in distributed systems and a platform mindset: you build systems other teams adopt and rely on, not just for your own team. Hands-on depth in observability, AI systems telemetry, or both, whether that means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products. Fluency with the modern tooling in your area, such as Datadog, OpenTelemetry, and Prometheus, or LLM tracing, prompt and model versioning, and eval workflows. A high operational bar (instrumentation and data quality, SLO design, incident response) and the ability to set technical direction and drive cross-functional alignment in complex environments. While not required, it’s an added plus if you also have: Breadth across both classic observability and AI observability, or the curiosity to grow into whichever is newer to you. Experience creating AI Telemetry-assisted improvement feedback loops for services, in particular for AI products and features. Experience improving infrastructure efficiency, including cost attribution, forecasting, vendor negotiation, and usage modeling. A track record designing company-wide observability standards, shared libraries, and agent or operator-based integrations. Experience applying AI or machine learning to anomaly detection, root cause analysis, or operational automation. Experience scaling and mentoring high-performing teams through platform expansion or major architectural change. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

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 As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES - Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including: - Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. 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; Toronto; New York; Montreal; Seattle 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 At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations. Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed. In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts. RESPONSIBILITIES - Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency. - Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models. - Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models. - Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency. - Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors. - Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer. REQUIREMENTS - You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement. - You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it. - You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues. - You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs. NICE TO HAVE - Deep knowledge of NCCL, NVSHMEM, and UCX. - Experience with Rust for systems-level or performance-critical networking code is a strong plus - Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS. - Familiarity with TensorRT-LLM, vLLM, or SGLang. - Experience running low-level benchmarks to "qualify" new hardware clusters. THE TEAM - Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks. - We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond. - High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration. 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).