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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! At Figma, we're building a vibrant community where designers and product builders come together to learn, grow, and connect around their shared passion. Our Advocacy team is central to this mission—empowering our users through engaging content, meaningful interactions, and genuine advocacy. We're looking for a Developer Advocate focused on Payload to partner closely with our Marketing, Sales, and Product teams. You'll bring deep design expertise, strong product intuition, and a genuine love for the design and developer community into our go-to-market strategies. You'll also champion our users' voices internally, ensuring their perspectives shape our product evolution. 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: Advocate for Payload : Promote Payload and the Payload + Figma integrations to developers inside and outside Figma. Empower Payload connections : Collaborate closely with Sales and Customer Experience teams to help customers unlock the full potential of Payload across real product workflows. Engage with the Payload community: Triage GitHub issues and community PRs, including labeling, reproducing and routing them, and working with engineering on review and prioritization. Create compelling content : Create technical content for Payload + Figma products: tutorials, demos, videos, starter templates and livestreams. Inspire community connections : Foster meaningful relationships within the Payload community, identify collaboration opportunities, and nurture user-driven initiatives. Speak and engage at events and in co-marketing : Regularly present at industry meetups, conferences, and community events, sharing practical insights from real-world design work. Champion user voices : Stay attuned to community feedback, sentiment, and emerging design trends—advocating internally to inform product decisions and improvements. We'd love to hear from you if you have: Have deep, hands-on expertise with Payload and experience integrating it within real product teams. Are comfortable operating in evolving workflows, including CMS, DAM, design systems, and AI-assisted design or prototyping. Are passionate about engaging with and contributing to the design or developer community. While it’s not required, it’s an added plus if you also have: An entrepreneurial mindset, with the enthusiasm and ability to transform early-stage ideas into polished, impactful outcomes The flexibility and willingness to travel up to 25% of the time to engage with the Payload community in person 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: $115,000 — $269,000 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.

Augustus is looking for a Commercial and Product Counsel to advise on products, negotiate commercial agreements, manage contracting, and review marketing compliance.

Anthropic is looking for a Manager Enterprise Sales Asset and Wealth Management to lead enterprise sales and scale AI adoption across asset and wealth management institutions.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT RAMP LABS Ramp Labs is Ramp's AI research group. We post-train models on finance work, build the environments and evals they learn from, and ship them into the products 70,000+ companies use to move money. We think the defensible part of an AI product is the loop: proprietary environments, evals that track what customers care about, and models trained against both. ABOUT THE ROLE Every model decision at Ramp Labs runs through a benchmark. Which model to route to. Whether a post-training run worked. Whether an agent is ready to post a corrective journal entry to a customer's ledger without a human in the loop. You'll own Ramp's benchmarking effort. You'll turn real finance work (expense policy review, invoice coding, month-end close, spreadsheet Q&A) into benchmarks and RL environments, build the graders, and tell the team what is actually improving. WHAT YOU’LL DO - Build benchmarks from real workflows: turn agent traces, customer edge cases and expert labels into versioned benchmark suites for long-horizon agents that run for hours across tools and systems, plus tool use, multi-step reasoning and financial judgment - Own the benchmarking effort: decide what we measure, run benchmark suites across models and agent versions, and report results the team makes decisions on - Design graders: rubrics, programmatic checks and llm-as-judge, calibrated against human agreement, with a clear view of where each one breaks - Close the loop with post-training: turn evals into reward functions and RL environments, and catch reward hacking and contamination before they ship - Publish external benchmarks and write-ups on how models perform at real finance work WHAT YOU NEED - Hands-on experience building LLM benchmarks or evals that people used to make real decisions - Strong Python and software engineering; your eval code is reproducible and fast - Statistical judgment: variance, confidence intervals, sample size, inter-rater agreement, and knowing when a delta is noise - Working knowledge of post-training (SFT, RL with verifiable rewards) and how evals feed into it - Comfort with SQL and large datasets; you'll work directly from production traces - Taste for what is worth measuring NICE-TO-HAVE - Industry experience on an eval, benchmarking or post-training team - Built RL environments or verifiers for agentic tasks - Published benchmark or evaluation research (NeurIPS Datasets & Benchmarks, ICML, ACL) - Built or contributed to eval frameworks (verifiers, lm-evaluation-harness, HELM or similar) - Familiarity with accounting, finance or other expert-domain work - Public work we can look at: a benchmark, an eval suite, a failure-analysis write-up 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: Dallas, USA; New York, USA; Orlando, USA DataArt is seeking a highly motivated and experienced Senior Data & Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies. As a key member of the DataArt Data & Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data & Analytics Lab through business development and go-to-market activities. The estimated salary range for this position is $190,000 to $240,000 per year. Forge strong, trusted-advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure Support team development by mentoring colleagues and providing expertise across strategic client accounts Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals Contribute to the Healthcare and Life Sciences practice and Data & Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma & Biotech, Medical Devices, and others Extensive experience working within custom IT service, custom IT solution, and/or IT implementation environments, with a strong understanding of the custom software development services landscape Experience driving change management initiatives in enterprise environments Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms Experience implementing data strategies that enable the development of in-house AI platforms Experience in the Healthcare and/or Life Sciences industries in the US and Europe Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe) Strong understanding of data and technology consulting principles and practices Expertise in leading large data-driven programs and driving revenue growth within client account portfolios Skilled in contributing to business development and sales engineering teams or organizations Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption Solid understanding of business operations, products, and services

Location: New York, NY Workplace: Hybrid ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE You will be LangChain's dedicated cloud alliance lead for AWS, owning the relationships and revenue motions that make these partnerships produce real pipeline. This is a senior individual contributor role sitting within the Partnerships team where you'll be close to the product, close to the field, and expected to drive results without a lot of hand-holding. You'll own co-sell execution and marketplace presence end-to-end, working with cloud partner teams, field sellers, and LangChain's GTM organization to turn partner relationships into closed deals. WHAT YOU'LL DO Co-sell and pipeline - Own and grow LangChain's co-sell motion with AWS: manage joint pipeline, coordinate deals with AWS field teams, and drive sourced and influenced revenue. - Partner with LangChain sales leadership to define priority co-sell accounts, map territories to AWS coverage, and run co-sell plays region by region. - Keep ACE hygiene high across the sales team so that opportunity sharing, acceptance, and launch become routine rather than a partnerships-team chore. Marketplace - Own LangChain's AWS Marketplace presence end to end: listings, private offers, CPPO through channel partners, and program enrollment. - Operate our marketplace GTM platform (Suger today) and extend referral and offer automation so sellers can transact through Marketplace without partnerships-team involvement. Programs and funding - Operationalize AWS funding mechanisms across the team: MDF (market development funds for co-marketing), proof-of-concept credits, ISV Accelerate benefits, and any strategic collaboration funding we secure. - Pursue AWS competency and specialization programs that strengthen our positioning with AWS sellers. - Track funding drawn down against funding available and report it monthly. Executive and partner relationships - Own LangChain's working relationships at AWS: partner development managers, ISV sales managers, Marketplace category leads, and the Bedrock and AgentCore partner teams. - Build executive sponsorship on both sides, and run a joint business plan with AWS that sets shared goals and a review cadence. - Navigate the coopetitive dynamic: partner closely with AWS on Bedrock and AgentCore while differentiating LangGraph and LangSmith where AWS has competing offerings. Field enablement and marketing - Equip LangChain sales, solutions engineering, and marketing with better-together messaging, competitive positioning, and joint sales plays for AWS accounts. - Partner with marketing on co-branded campaigns, content, and events that generate pipeline, including re:Invent, AWS Summits, and joint customer programs. - Communicate results clearly to internal stakeholders, including a monthly readout on pipeline, Marketplace, and program activity. WHAT YOU'LL BRING - 6+ years in cloud alliances, partner sales, or business development, with direct, hands-on ownership of an AWS relationship. - A track record of scaling a hyperscaler co-sell motion, not just starting one: you have taken a working AWS alliance to materially higher Marketplace share, pipeline, or partner-sourced revenue, and you can describe the mechanisms that got you there. - Deep working knowledge of AWS Marketplace transactions and programs: private offers, CPPO, ACE, ISV Accelerate, and the funding programs available to ISVs. - Experience operating a marketplace GTM platform such as Suger, Tackle, or WorkSpan, including referral and offer automation. - Experience shaping and running a joint business plan with a hyperscaler, including executive sponsorship on both sides. - Enough technical foundation to speak credibly with builders. You do not need to write code, but you need to understand how LangGraph, LangSmith, and LangChain fit into a customer's AWS stack. - Experience in a startup or high-growth environment where you set the operating rhythm for a partner motion rather than inheriting one. - Strong operational discipline: you manage pipeline in the CRM, track partner activity, and report results clearly to internal stakeholders. - Excellent communication and relationship-building skills, with comfort owning senior relationships at a large cloud organization and resolving conflict constructively across company lines. NICE TO HAVE'S - Prior experience inside AWS in partner sales, ISV, or Marketplace roles, with a working understanding of how co-sell decisions and seller compensation work internally. - Experience with commercial contracts with AWS like SCAs. - Existing relationships across the AWS ISV, field, Marketplace, and Bedrock partner teams. - Familiarity with the AI/ML ecosystem: how LLMs, agents, and developer tooling fit into enterprise stacks. - Experience with AWS partner programs specific to AI and data, such as the Generative AI Competency and related partner tracks. - Prior experience at a developer tools or infrastructure company with a product-led growth motion. Annual salary range: $200,000 - $250,000 OTE + Equity COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude Frontier Academy is where organizations nominate their strongest people to build deep, hands-on skills with Claude. Backed by a $100 million commitment, Anthropic aims to train 10,000 Frontier Deployed Engineers by the end of 2027. The Academy’s first program, the Frontier Deployed Engineer (FDE) Residency, brings engineers from leading customers and partners together in cohorts, and more programs will follow. We’re looking for a Marketing Lead to make the Academy a name the market knows and a credential people are proud to earn. As the Academy’s first dedicated marketer, you’ll own how it shows up in the world. You’re a creative, versatile marketer who thinks in terms of brand and communications and also knows how to position, launch, and grow programs. You’ll turn each program launch into a major market moment, celebrate milestones like new cohorts and the first badges earned, and build a community of graduates who help tell the story. Because the Academy serves both partners and customers, this role will sit on our Partner Marketing team. You’ll work directly with partners and customers to secure their participation in announcements and bring them into our launch and amplification plans. You’ll help shape the Academy’s strategy and annual plan and represent marketing with senior leaders, while staying hands-on enough to write the first draft yourself. Partners and customers already engage with other Anthropic education and training programs, so you’ll be thoughtful about how the Academy fits alongside them. If you’ve built a branded program at a B2B technology company and want to do it again at a much bigger scale, this role is for you. Key responsibilities Own the marketing strategy and annual plan for Claude Frontier Academy and its programs, working with Academy leadership to set priorities and goals Build and maintain a calendar of market moments for the Academy and each program, including program launches, new cohorts, and badge milestones Lead launches end to end, from messaging and announcement drafts through legal and executive review, launch-day execution and post-launch amplification Partner with Communications on press releases and announcements, including sourcing customer and partner quotes and securing approval to use their names Align early with Partnerships, Communications, and Account Teams on which customers and partners are named in each announcement, who gets a heads-up before it goes live, and how to answer those who aren’t named Develop amplification plans with partners and customers across social posts, blogs, newsletters, and their own announcements, and turn cohort results into joint customer and partner stories Grow the Academy’s presence on LinkedIn and other social channels with content that showcases programs, cohorts, and graduates Own the Academy’s web presence and any paid promotion, working with our web team and with creative and agency partners Build a community program that keeps cohort members and badge holders connected and turns them into advocates for the Academy Work with Brand to extend the Academy’s naming and brand architecture as new programs launch, keeping it consistent with, and clearly distinct from, Anthropic’s other education and training offerings Learn Anthropic’s other education and training programs, such as Claude Academy, Claude certifications, and Partner Basecamp, and work with their teams to define where Claude Frontier Academy fits, where the programs connect, and how they reference each other, so partners and customers see one clear path Equip Account Teams and Partner Account Managers with FAQs, internal announcements, and guidance so they can answer questions, help customers and partners register their interest, and set clear expectations on participation Keep senior stakeholders aligned through regular status updates and clear recommendations, and define and report on success metrics for Academy marketing Minimum qualifications Have built and run branded B2B marketing programs at a software/SaaS technology company, such as customer education, certification, community, or user conference programs Have marketed education, training, or certification programs at a technology company, such as a partner, customer, or developer academy Bring a creative, brand-minded approach and know how to create market moments that get noticed Have led major launches or announcements, coordinating press, social, and partner amplification, and keeping everyone aligned through legal review, executive edits, and date changes Know how to build an audience and spark conversation on LinkedIn and other social channels with B2B audiences Have strong executive presence and are comfortable giving updates and making recommendations to senior leaders Can operate at both strategic and tactical levels, comfortable owning an annual plan and rolling up your sleeves to ship Build trusted relationships with partners, customers, and cross-functional teams, and can drive approvals and commitments without formal authority Are an excellent writer who can move easily between press releases, FAQs, and social posts Are energized by ambiguity and by building something new as a first-in-seat marketer Passionate about AI diffusion and bringing the benefits of AI to people and the world Preferred qualifications 8+ years of B2B software marketing experience spanning brand, communications, or program marketing Experience building community or advocacy programs where members promote the program themselves Experience marketing to technical audiences, particularly engineers and developers Experience running joint announcements with global system integrators, consulting firms, or enterprise customers Experience marketing to enterprise technology leaders, such as CIOs and CTOs Experience marketing AI/ML products Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Principal Manager, Procurement Enablement & Contingent Workforce About the job Twilio is growing rapidly and seeking a Principal Manager, Procurement Enablement & Contingent Workforce to drive Procurement and contingent workforce process transformation. This high visibility role will transform our processes from manual entries to simplified agentic enabled processes. This role will take a long term vision to ensure we’re building our next generation of scalable processes as Twilio’s growth accelerates. Additionally, this role will be responsible for Procurement related systems, Procurement Compliance, and driving cross functional collaboration between multiple S2P teams. Responsibilities In this role, you’ll: Lead a team of 4 Procurement Enablement and Contingent Workforce (ITV) program managers who will work on Procurement and Contingent Workforce process governance, support, enablement, process improvement, and redesign. Manage all Procurement related systems and enhancements including Oracle P2P, Ironclad CLM, Pursuit RFP, Airtable Savings Tracker, and AI tools. Deliver on Procurement intake transformation including Agentic Intake Orchestration by designing and deploying next-generation, AI-driven conversational and autonomous agentic intake systems that replaces static forms. Drive Agentic in-take process to be fully comprehensive through multiple system integrations with ability to provide a guided buying experience, provide real time status updates, and provide renewal notifications and actions to both sourcing and business owners. Redesign the end to end Contingent Workforce process to provide hiring managers a simpler and faster hiring journey for Contingent Workers that reduces hand offs between the Procurement and Contingent Workforce program team. Oversee the Contingent Workforce program and governance including managing the VMS and its global expansion. Develop the global Contingent Workforce supply chain through identifying and driving a cohesive supply chain strategy and enabling hiring managers to find Contingent Workforce talent globally. Lead other S2P process enhancements and be the glue that drives cross functional collaboration between AP, Accounting, Security, Privacy, Audit, IT, and other functions. Responsible for driving Procurement Policy simplifications and enhancements. Lead cross functional training and enablement for hiring managers globally and also for all Procurement stakeholders. Track and manage preferred supplier list; identify then partner with sourcing on areas to increase preferred supplier usage. Lead development of an external supplier landing page that highlights supplier FAQ, how to navigate supplier portal, an invoice lookup tool, Twilio code of conduct, Sustainability expectations etc. Partner with Twilio sustainability team to lead on reporting of supplier GHG emissions. Drive simplification of our POC and NDA processes into a centralized agentic workflow. Partner with Procurement Legal to ensure contracting requirements and proper positioning of paper are built into any new or redesigned process — including agentic intake, guided buying, and POC/NDA workflows — so process speed doesn’t come at the cost of downstream legal or compliance rework. Partner with the Procurement Operations and Compliance team to implement an automated KYS screening for both vendors and carriers globally. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 12+ years of experience of managing procurement systems, S2P processes, and ITV/contingent workforce programs. Familiarity or participation in an ERP redesign with advance knowledge of Oracle Cloud Procurement. Strong understanding or experience in implementing Procurement agentic solutions that result in simpler and leaner processes. Familiarity or participation in an Contingent Workforce redesign with knowledge of Beeline or other VMS systems. Track record of successful cross-functional leadership, collaboration, and relationship building. Knowledgeable in requirements gathering, analysis, design and implementation methodologies Pragmatic and collaborative, able to work independently to ensure execution and on time delivery of programs to achieve objectives in procurement efficiency taking into consideration upstream/downstream partner processes, systems, security standards and compliance requirements. Solid understanding of contracting fundamentals and how contracting fits within the S2P process, with the ability to design or redesign intake, policy, and workflow changes that preserve proper contracting positioning rather than treating it as an afterthought. Tech savvy change agent who understands procurement and finance vendor landscape, tool capabilities/gaps and possible solutions. Knowledge of Netsuite, Coupa, or Oracle Cloud is strongly advantageous. Strong ability to manage multiple projects concurrently with sound business acumen. Excellent communication skills, able to communicate clearly and succinctly in writing, presentations and verbally to multiple levels within the organization. Strong project management skills (certifications a plus), the ability to track and manage complex processes, and a desire to lead teams and projects Bachelor's Degree or equivalent experience Desired: Experience in the Technology industry and operating within hyper-growth environments, with a proven ability to build scalable sourcing processes and systems from the ground up. Proven track record of cultivating collaborative, high-trust partnerships across matrixed internal business units and external vendor ecosystems to drive shared strategic outcomes. Demonstrated experience scaling, structuring, and developing a ITV/Contingent Workforce and procurement Process, and developing process change with Agentic workflows. Lean Six Sigma or similar process improvement experience. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately <10%> travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00-$176,900.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00-$187,300.00 Based in the San Francisco Bay area, California: $166,400.00-$208,000.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 11/20/26, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Chicago, New York City, London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Our Unified Platform (UP) organization builds and offers managed data services, shared infrastructure, and metadata management systems that underpin our common query layer and power batch and streaming pipelines that power teams across DRW. As a Staff Engineer focused on the Data Platform , you will bring experience scaling data platforms to shape and uphold DRW’s long-term data platform vision, translating data strategy into engineering products and managed services used by Traders, Quantitative Researchers, and Back-Office personnel. You will work across tooling, producer, and consumer teams to connect business priorities with technical direction and hands-on delivery. This is an individual contributor role combining strategic thinking, architectural leadership, software development, and mentorship, with responsibility for technical initiatives that span teams. Key Responsibilities Contribute to and uphold the overall vision for DRW’s Data Platform, guiding its architecture and evolution to advance the firm’s data strategy. Work with engineering leads , product managers , and stakeholders to understand business priorities and translate data strategy into engineering products, platform capabilities, and contribute to the sequenced technical roadmap. Design , guide, and build managed platform services for data storage, distributed query execution, batch and streaming processing, and workload orchestration, owning their lifecycle from provisioning and upgrades through production support , refining the managed offers from direct user feedback. Lead delivery across team boundaries, turning ambiguous requirements into practical designs and measurable outcomes while balancing immediate business needs with long-term platform goals. Drive architecture reviews and technology decisions, documenting trade-offs and building consensus around patterns that uphold the platform vision across the data ecosystem. Own the strategy for large-scale data governance and b uild platform capabilities for metadata management, discovery, lineage, schema evolution, and data qua lity. Partner with security and data stakeholders on access controls and usage tra cking. Troubleshoot distributed systems, contribute to production support and incident response, and drive lasting improvements through root-cause analysis, automation, and operational documentation. Mentor engineers across teams through design reviews, code reviews, and hands-on collaboration, strengthening engineering practices and helping others take ownership of complex systems. Required Qualifications Extensive experience designing, building, and operating large-scale, data-intensive distributed systems , including technical leadership of initiatives spanning multiple teams. Experience coordinating with engineering leadership to accelerate team- and organization-wide delivery within existing processes and practices. A track record of translating data or business strategy into engineering products and technical roadmaps, with the judgment to align near-term delivery with a long-term platform vision. A track record of building and offering managed platform services to other teams, owning provisioning, upgrades, reliability, and ongoing support throughout the service lifecycle , working directly with users to incorporate their requirements and feedback into product and roadmap decisions. Experience scaling metadata management systems, such as data catalogs or lineage tracking systems , that span multiple storage and compute technologies . Expertise in Java and/ or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL and Linux environments. Deep understanding of distributed systems trade-offs, including consistency, fault tolerance, concurrency, partitioning, and recovery from partial failures. Production e xperience building both batch and stream processing systems at scale , demonstrating practical knowledge of state management, replay, backpressure, and delivery guarantees. Experience deploying data processing and query technologies such as Flink, Spark, and ClickHouse , and the ability to guide platform us ers on the performance and operational trade-offs among them. Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka . In-depth k nowl ed ge of the internals of open table formats such as Iceberg or Delta Lake. Extensive e xperience with data modeling, schema governance and evolution, and formats and serialization systems such as Arrow, Parquet, Protobuf , or Avro. Familiarity with building and operating cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring. Excellent written and verbal communication skills, with the ability to communicate a technical vision, explain trade-offs, align stakeholders, and lead through influence across a globally distributed organization. Strong technical judgment and problem-solving skills, with the ability to prioritize competing needs, deliver incrementally in a fast-paced trading environment, and develop other engineers. Desirable Qualifications Experience scaling managed data services across teams with different workloads, service expectations, and operational constraints. Hands-on knowledge of data governance in regulated environments. Familiarity with financial datasets and the needs of trading, quantitative research, or back-office users. The annual base salary range for this position is $200,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-Insert Recruiter Initials Here1]

Location: New York Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About the Galaxy Summer Internship Program The Galaxy NYC Summer Internship Program is an immersive, nine-week experience taking place on-site in our New York HQ office. During the nine weeks, you will gain hands-on, practical work experience on our Investment Banking, working on real products and problems alongside the people building them. Interns join a lean team advising crypto and fintech companies on M&A, capital raising, and corporate strategy. In addition to learning on the job, Galaxy interns participate in professional development programming, social events, and networking opportunities with senior leaders. Program Dates : June 7th – August 6th, 2027 What You'll Do: Build and review financial analyses and valuation models, including comparable companies, precedent transactions, DCF, and merger models. Research companies and protocols using public filings, earnings calls, industry research, and onchain data. Map buyer and investor universes, analyze competitive landscapes, and assess business models and value drivers. Prepare pitch materials, management presentations, teasers, and internal committee memos. Support live deals through preparation, data room maintenance, and process tracking. Use AI tools to accelerate research and analysis, improve internal processes, and help develop AI-enabled workflows and agents. What We're Looking For: A genuine interest in crypto and investment banking, demonstrated through independent research, coursework, projects, or relevant experience. Initiative, intellectual curiosity, and sound judgement, with the ability to work through unfamiliar problems and ask thoughtful questions. Strong analytical skills and a foundational understanding of accounting, corporate finance, and valuation. Familiarity with blockchain technology, token economics, and how value accrues to companies, protocols, and tokens. Strong attention to detail, a collaborative approach, and the ability to manage competing deadlines. Clear, concise written and verbal communication, and the ability to simplify complex ideas. Bonus Points: Previous internship or work experience in crypto or investment banking. Financial or valuation models for companies, tokens, or protocols. Experience using AI tools beyond chat interfaces, including APIs, agents, or automated research and analysis workflows. Published writing, research or other work demonstrating original thinking about crypto businesses, protocols, or markets. Programming or data analysis experience (Python, SQL). Eligibility Requirements: Currently enrolled in an undergraduate degree program, with an expected graduation date between December 2027 and June 2028. Available to work on-site in New York City five days a week for the full program, June 7 – August 6, 2027. Students enrolled in PhD or JD programs are not eligible to apply. Here are some of the industry-leading benefits of interning at Galaxy: Opportunities to learn about the Digital Asset and Data Center industry Free daily snacks and weekly lunches Smart, entrepreneurial and fun colleagues Employee Resource Groups *Benefits may vary based on location. Interns are classified as non-exempt employees and will be paid a rate of $55/hr. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: United States; Canada Workplace: OnSite 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! As a Senior Security Operations Engineer you will: - Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues - Harden our cloud-native environments (AWS, OCI, GCP) by introducing secure by default cloud controls - Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by paving the secure path using infrastructure-as-code modules and reusable code libraries - Manage IAM / RBAC for cloud infrastructure, and partner with IT on streamlining authentication/authorization to ensure unified access control across the board - Deploy, integrate and operationalize security platforms and services including but not limited to SIEM, SOAR, domain monitoring, endpoint tooling, cloud security tooling - Respond to security incidents and harden environments post-incidents. - Support control monitoring and remediation for compliance initiatives - Gather and analyze security metrics to address security issues with cross-team dependencies - Partner empathetically with engineering teams to understand their needs and deliver practical, scalable security solutions without creating unnecessary friction. You may be a good fit if: - 5+ years previous experience in SecOps, DevSecOps, Cloud Security, Threat Detection & Response or software development with a strong focus on security engineering. - You’re a hands-on security engineer interested in automating controls and building scalable solutions rather than relying on manual processes. - You have experience in managing cloud platforms (GCP, AWS, Azure, OCI) and Kubernetes environments - Familiarity with CI/CD systems and SecOps workflows (Git, Terraform) in cloud environments (GCP, AWS, Azure, OCI) - Have practical experience with one or more of : infrastructure automation, network segmentation, system hardening, container and cloud security concepts, and security observability - You have experience with multiple languages such as Golang and/or Python - Are comfortable navigating ambiguity, making informed decisions with incomplete information, and adapting your approach as requirements evolve. - You employ a flexible and constructive approach when solving problems - You are able to make trade-offs between build vs. buy decisions - help build solutions and able to review what tools are available - You understand secure engineering best practices, can articulate problem statements and propose solutions to both technically savvy and non-technical audiences 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: New York Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Position Overview Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best-known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Tamara and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how. We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow. The Revenue Enablement Specialist is responsible for supporting the wider Revenue Enablement team with content production, process management and improvements, reporting and communication. What you’ll do - Coordinate day-to-day delivery of our North America new-hire onboarding program using established plans and materials. Keep session schedules, logistics, learner communications, and follow-ups organized. - Facilitate engaging live sessions for new hires across Business Development, Sales, Account Management, and other customer-facing teams. - Create a supportive learner experience by adapting your facilitation to each cohort’s needs and experience. Share recommendations for content or program changes with the program lead. - Track attendance, completion, learner feedback, and other agreed program measures. Organize the data and summarize findings to help identify gaps and opportunities to improve. - Maintain accurate, easy-to-find learning resources in our learning and content platforms, and help colleagues follow good platform practices. - Support learning activities at flagship events such as Kick-Off, President’s Club, and Commercial Leadership Summits, coordinating logistics and learning needs with event owners. - Coordinate with partners across Commercial, People, Product, Operations, and Marketing to gather input and keep onboarding activities on track. WHAT YOU’LL BRING - 2-3 years of relevant experience; experience in FinTech, financial services, technology, or SaaS - Strong written and verbal communication, with confidence facilitating groups or a willingness to develop that skill. - Some experience supporting or delivering onboarding, training, learning programs, events, or enablement ideally for sales, customer success, or other customer-facing teams. - Good organization, attention to detail, and follow-through across multiple tasks and deadlines. - A collaborative, adaptable approach, including the ability to prioritize, ask for guidance, and work effectively as plans evolve. - Comfort working with feedback and basic program data to identify patterns and suggest improvements. - Interest in how commercial teams work and how learning can help them succeed. - AI native, Tech-savvy and data-driven HELPFUL, BUT NOT REQUIRED - Familiarity with a learning management system (LMS), content management system (CMS), or enablement platform. - Exposure to sales playbooks or methodologies such as Command of the Message, MEDDPICC, or an equivalent approach. - Familiarity with commercial or revenue cycles.   Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you’ll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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! We’re looking for a strategic, entrepreneurial Product Manager to help shape the future of Collab Tools. Collab Tools includes FigJam, Figma Slides, and Figma Specs. You’ll be at the forefront of defining how product teams plan, capture intent, and communicate: from the initial brainstorm to the functional prototype. As we integrate AI to make these workflows more intuitive and powerful, you’ll help us build the next generation of surfaces that empower teams to align and execute faster than ever. What you’ll do at Figma: Own the strategy and roadmap for one of our key products (e.g. FigJam), and help drive our vision of Collab Tools as the defacto surfaces for upstream planning and discovery. Partner deeply with Design and Engineering to ship both foundational improvements and 0-to-1 bets, holding a high bar for craft and consumer-grade quality. Synthesize quantitative, qualitative, and market signals into a sharp point of view on what to build and why. Build durable relationships across your direct team, the broader pillar, and cross-functional partners, including the executive team. Define and run agent evals defined by our vision and grounded in real user behavior to measure and improve quality, latency, and cost. Push the frontier of AI-native product development in what you ship and in how the team plans and builds. Operate your area end-to-end, from long-term strategy through launch and iteration, moving fast without dropping standards. We’d love to hear from you if you have: 5-7+ years of product management experience, with a track record of shipping meaningful, well designed, consumer-grade products at B2B companies. Comfort with ambiguity and a demonstrated ability to develop and defend a clear point of view. Hands-on experience building and shipping agentic experiences, including defining evals, designing applied AI products, and navigating tradeoffs around quality, reliability, latency, and cost. Fluency with the latest AI tools and genuine curiosity and excitement about how EPD teams are changing because of them. A track record of moving fast, even inside a larger organization. Fluency across quantitative, qualitative, and market signals to fuel prioritization and decisions. Strong communication and organizational skills at every level, from IC to executive. While it’s not required, it’s an added plus if you also have: Previous experience in an engineering or design role, deeper technical chops, or interesting side projects. Experience at both a smaller company and a more mature, late-stage or public company. 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: $169,000 — $303,000 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; Ireland; Europe; United States; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE The Payments team owns how ElevenLabs charges customers: billing, usage tracking, pricing and payments across self-serve and enterprise. Everything we do has to be correct, because it underpins the company's revenue and is immediately visible to every customer and team. We are hiring full stack engineers (backend leaning) to expand and evolve our payments systems. Your responsibilities might include: - Building and maintaining usage tracking so that requests are metered accurately without impacting latency. - Leading our migration of enterprise pricing and usage processing, including new stream-processing services for usage events. - Making it easy for customers to upgrade and pay, including paying through different entities and supporting new payment providers. - Working with Finance and Tax teams to meet compliance, audit and reporting requirements. - Enabling pricing and Growth experiments with Growth and product teams. - Debugging complex customer billing scenarios: piecing together what happened from the customer's experience, logs and code, and fixing the cause. - Collaborating with Sales, FDEs, Finance and engineers across the company. Much of this work extends or replaces systems that already exist, so you will scope carefully, plan migrations, and roll changes out without disrupting customers. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live systems that handle money. - The ability to learn a large existing system quickly and to debug complex production issues. Bonus: - Experience with payment processing providers, or with billing and usage-based pricing systems - Experience with stream processing or high-throughput event pipelines. - Experience working with finance, tax or audit requirements. - Experience with Kubernetes. LOCATION Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Remote; Ireland; Europe; United States; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed. We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include: Workspaces & User Management (serving external customers) - Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more - Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures. - Shipping customer-facing features end to end, from backend services to the admin and settings UI. Permissions & Resources (serving ElevenLabs engineering teams) - Designing and building generic resource and permissioning services that product teams use to build features safely and quickly. - Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access. - Working across product teams to understand their needs, and driving adoption with changes that don't require every team to rework their code. In both teams you will: - Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected. - Roll out changes safely and with minimal disruption to existing users, teams or systems. - Debug and operate what you build, working from customer reports, logs and code. - Own features from scoping to completion, with the support of experienced engineers who are happy to mentor. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development, with comfort working across the stack where the work needs it. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly. - Comfort with ambiguity: working out what should be built, and prioritising among competing signals. Bonus: - Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar). - Experience with Kubernetes. - Experience building internal platforms or services used by other engineering teams. LOCATION Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.