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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable : when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely. As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving. What You'll Do: Own the Safeguards Engineering ops review - Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk. Drive incident tracking and post-mortem execution - When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does. Establish and maintain SLOs with partner teams - Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not. Maintain runbook quality and incident-ownership clarity - Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks during an active incident. Drive platform migrations and infrastructure projects - Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them. Coordinate evals platform improvements - Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs. You might be a good fit if you: Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously. Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread. Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them. Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication. Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either. Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you. Strong candidates may also: Have experience with SRE practices, incident management frameworks, or on-call operations at scale. Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted. Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline. Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them. Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 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: 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! The Build Systems team within Figma’s Developer Experience organization owns Figma’s build and CI infrastructure, enabling engineers to ship changes to production quickly and safely. We build and operate core platforms across our polyglot monorepo, including build systems, artifact repositories, merge queues, test frameworks, and CI pipelines. We’re looking for an experienced technical leader to help shape these platforms, uplevel the team, and deliver high-impact platforms that accelerate engineering velocity. The ideal candidate has deep experience with large monolithic codebases, builds durable and scalable systems, and is motivated by solving high-leverage problems that amplify productivity across the engineering organization. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Drive technical roadmap and strategy for the Build Systems team Partner with cross-functional teams and leadership to identify developer pain points and design elegant, scalable solutions Lead complex, multi-quarter initiatives reducing build/test times and improving CI reliability, all while balancing technical excellence with pragmatic delivery Design, build, and maintain modern developer tools including scalable build systems, distributed CI platforms, and test frameworks that serve thousands of engineers Architect and implement large-scale infrastructure on AWS that powers our entire build pipeline to ensure reliability, performance, and cost-efficiency Mentor and uplevel the team through technical guidance, code reviews, and architectural leadership, leading by example and actively investing in your teammates’ growth Collaborate with product engineers (your customers), infrastructure teams, and executive stakeholders, and communicate technical decisions clearly to audiences ranging from individual contributors to senior leadership Keep up to date with industry trends and best practices in build systems, CI, and developer tooling, and incorporate applicable technologies into our roadmap We’d love to hear from you if you have: 5+ years of engineering experience, including 4+ years on Infrastructure, Platform, or Developer Experience teams Deep expertise in build systems (e.g., Bazel, Buck, Pants, Gradle) and operating large-scale monorepos Experience optimizing CI/CD, building developer tooling at scale, and designing reliable, high-performance distributed systems Hands-on experience with AWS, CI platforms (e.g., Buildkite), Infrastructure as Code, and strong coding skills in languages such as Go, TypeScript, Python, or Ruby Proven technical leadership, with a track record of setting technical direction, driving cross-team initiatives, and communicating effectively across a wide range of stakeholders While it’s not required, it’s an added plus if you also have: Experience migrating large codebases to modern build systems (especially Bazel) Experience building test frameworks and improving test infrastructure Have excellent problem-solving skills, using a systematic and thorough approach grounded in first principles, with a bias for action and a strong focus on impact You’re willing to work on grungy problems when they have a high impact on the business or the health of our platform Care deeply about the quality of the software and systems you build, with an artisan mentality and a constant drive to improve your craft, while striking the right balance between idealism and pragmatism Finally, Figma is a close-knit company with a strong culture that promotes inclusivity and collaboration, taking ambitious goals and having fun doing so. You deeply value these traits and see yourself actively contributing to it Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code 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: $185,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Engineering Manager to lead a team of highly experienced engineers building the infrastructure that powers Modal’s serverless GPU platform. This is a hands-on leadership role. Expect to split your time between technical contribution and people management depending on what the team needs. You’ll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, large-scale data handling, and performance optimization. WHAT YOU’LL WORK ON: Team - Recruit, hire, and grow a high-performing team of cloud platform engineers; run regular 1:1s focused on coaching, feedback, and career growth - Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work - Foster a culture of ownership, accountability, and continuous improvement Technical Direction - Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions - Translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them - Establish standards for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from spec through production - Push for good judgment on tooling and architecture, with a bias against unnecessary complexity Cross-Functional & Incident Leadership - Partner with product and engineering to align infrastructure work with business priorities; represent your team’s progress, capacity, and tradeoffs clearly to leadership - Serve as the escalation point for major incidents; drive resolution with urgency and ensure the team learns systematically, feeding those learnings back into infrastructure improvements YOU MAY BE A FIT IF: - You have 10+ years of industry experience, including 3+ years in a leadership role - You have a track record of building high-performance distributed systems at scale - You have a strong background in cloud infrastructure - You have deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.) - You’re proficient in a systems-level language (Rust, C, C++, or Java) - You’re an experienced engineering leader who stays close to the work and builds alongside your team when it counts - You earn trust through technical depth, not title - You communicate clearly, help strong engineers move fast without cutting corners, and stay calm and pragmatic under pressure - You care as much about how your team gets to an answer as about the answer itself

Location: Salt Lake City, Utah Workplace: onsite Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. About the Role   The Filevine Connector motion is a novel and highly effective approach unique to Filevine. It is a sales-first motion built on developing and leveraging direct relationships to generate the highest quality enterprise leads. Filevine Connectors create access to enterprise prospects who are positioned to make purchasing decisions and deliver those opportunities directly to the Revenue Team. The Connector motion operates cross-functionally between Marketing and Revenue to drive consistent, high-impact pipeline growth.   The FV Connector motion has two distinct but interrelated components: 1. The identification and development of producing Connectors, 2. Management of the lead production of Connectors.    The Connector Development Representative (CDR) is a key driver of Filevine’s strategic enterprise corporate and government sales motion, contributing directly to the company’s enterprise level growth. This role is ideal for a creative executor who thrives on developing and acquiring new partnerships, optimizing lead processes, and collaborating internally and cross-functionally to maximize partner-driven revenue. The CDR is the foundational support to the function of the connector team providing key role-support to each member of the team.   As a CDR, you will work closely with Connector VPs, Connector Managers, reseller channel managers, and enterprise sales teams—who juggle multiple priorities—to act as a true partner and team player. Your role requires a mix of sales rigor, creativity, and relationship management skills to drive partnership success. Always, CDR is a sales-oriented role. Lead Development Support Connector Managers in building and maintaining Connector relationships Direct leads from Connector Managers to AEs ensuring meetings are booked and deals move efficiently through the pipeline. Act as the liaison between FV Connector Team and AEs to optimize lead conversions. Track and report on lead performance, identifying trends and opportunities for improvement. Create enterprise, Connector relevant prospect lists Maintain organization and communication across teams to ensure seamless execution of connector-driven deals. Work with marketing to support sales enablement collateral On occasion, attend Connector-events (with an AE or Connector Team) with the goal of fostering greater Connector relationships and sourcing lead opportunities. Connector Development Proactively identify and recruit new Connector and reseller partners through outbound efforts. Assist with the onboarding of new partners, guiding them from initial introduction through activation and into consistent lead production Leverage various approaches to engage potential connectors and resellers via email, calls, and events including marketing as appropriate. Develop compelling outreach messaging and marketing campaigns. Support the development of co-marketing initiatives and Connector enablement strategies. Who You Are A strategic doer – You think creatively about growth and know how to execute. A key supporting partner – You amplify your team members through strategic support able to identify and execute action that enables their focus on highest value activities . Eager and action-oriented – You’re proactive and take ownership of your responsibilities. Even-keeled and adaptable – You thrive in a fast-moving environment with changing priorities. A strong communicator and relationship builder – You work cross-functionally and collaboratively. Highly organized and disciplined – You maintain rigor in managing partnerships, pipelines, and outbound prospecting. Charismatic and persuasive – You can captivate an audience and create excitement around partnerships. A systems builder – You can identify what efforts and patterns are most effective and work them into systems that can be replicated by others. Qualifications Experience in sales, partnerships, relationship development or a customer facing role (preferably in tech or SaaS). Strong outbound prospecting and business development experience preferred. Ability to work cross-functionally with multiple teams (Sales, Partnerships, and Marketing). Exceptional written and verbal communication skills. Experience using CRM tools (Salesforce preferred) to track partnerships and leads. Self-starter and proactive (action-oriented) mentality with a track record of executing on growth initiatives. In addition to the qualifications listed above, we expect that our team members have the following: Proven ability to maintain focus, productivity, and composure in high-stress, fast-paced in-person environments. Highly adaptable to working in open-office layouts while staying focused and respectful of colleagues. Skilled at handling high-priority Zoom calls with upset customers on short notice, using empathy and composure to resolve complex issues. Why Join Filevine? Be part of a high-growth, innovative company at the forefront of legal technology. Drive impact in a role that directly contributes to revenue and strategic expansion. Work in a collaborative and fast-paced team environment where creativity and initiative are valued. Enjoy a base salary plus uncapped commission structure with clear paths for growth and success. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on Vercel's Startups team, you'll grow a portfolio of startup customers who've already adopted Vercel, from early usage through full-scale adoption. You'll use usage data to spot expansion and re-engagement opportunities, coordinate sales engineers, developer support engineers, product, and support to resolve technical blockers, and turn what works into repeatable playbooks other AEs can reuse. This is a hybrid role based in San Francisco, Austin, or New York City, with three days a week in the office; outside commuting distance of those offices, it's fully remote. What you'll do Build relationships with founders and technical leaders by developing a deep, fast understanding of their architecture, use cases, and technical constraints Analyze usage patterns to identify the highest-leverage accounts for expansion, adoption, or re-engagement Coordinate sales engineers, developer support engineers, product, and support at the right moments to drive customer outcomes Own and grow a portfolio of startup accounts as they move from early adoption to scale Build repeatable plays and automations that help the team operate at higher leverage across the portfolio What you need 4+ years closing deals in a full-cycle sales role, with experience owning revenue outcomes across a range of deal sizes Hands-on experience discussing architecture, infrastructure, or technical trade-offs directly with developers or technical stakeholders Experience managing an existing account portfolio through renewal, expansion, or usage growth, not just net-new acquisition Background as a founder, engineer, or technical go-to-market professional, with working knowledge of modern web infrastructure and frontend performance Bonus if you Have hands-on experience building or shipping software yourself Have sold into or supported customers at a developer-tools or platform-as-a-service company Have built or used automation or AI workflows to scale a sales or customer-facing motion Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $180,000-$240,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: 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 We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself. Responsibilities Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale Partner with research leads to translate ambiguous research questions into durable engineering solutions Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health You may be a good fit if you: Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction Are a power user of agentic coding tools with deep intuition about model capabilities and limitations Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both Strong candidates may also have experience with: Designing or scaling eval/evaluation frameworks for ML systems Reinforcement learning infrastructure or training systems Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm Research computing, scientific infrastructure, or developer platforms at scale A strong quantitative foundation (math, physics, or related fields) Expertise in Python and TypeScript The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 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: Berlin Office; London Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Deployment Lead to serve as the strategic layer in our Forward Deployed Engineering (FDE) function who ensures our customers successfully implement and unlock maximum value from AI-driven decision-making. In this pre- and post-sale hybrid role, you'll be the primary point of contact guiding enterprise customers and Taktile internal teams through highly strategic, complex, multi use case AI transformation projects. You lead strategic planning of the project, own business outcome of the solution implementation, pave path for business impact-driven footprint and revenue expansion within the account, and shape product roadmaps with first-hand industry insights. You’ll collaborate across Taktile’s Forward Deployed Engineer (FDE), Solution, Product, and Sales teams, as well as with external partners, to support customers throughout their entire lifecycle, driving strategic outcomes and sustained impact. About You - Strategic Enterprise Leader – You are a strategic thinker and experienced navigator of complex enterprise deals and transformation programs. You can turn an ambitious AI vision into a credible, sequenced, and executable plan. - Complexity Navigator – You can synthesize technical, operational, and commercial complexity, including use-case-specific pain points, value propositions, industry dynamics, vendor landscapes, stakeholder agendas, competing KPIs, and build-versus-buy considerations. - Executive Communicator – You have the presence and judgment to engage senior and C-level stakeholders, facilitate difficult trade-offs, challenge assumptions constructively, and build alignment across business, risk, technology, data, and AI teams. - Commercially Minded – You can identify where AI can create material business value, build quantified success metrics and ROI frameworks, and connect delivery outcomes to adoption, expansion, and long-term account value. - Delivery Leader – You can structure and lead high-stakes pilot and proof-of-value programs, anticipate risks, unblock decisions, and keep cross-functional teams aligned on scope, quality, timelines, and expected impact. - AI-Native – You are familiar with modern AI and LLM capabilities, limitations, evaluation approaches, governance considerations, and the requirements for deploying trusted AI in regulated environments. You use AI tools every day to do your own work faster and better, and you expect to bring that way of working to customers. - Technically Hands-On – You understand applied AI, data, and integration concepts deeply enough to make solution choices yourself, not just referee them. You don’t need to be a software engineer, but you are comfortable reading a decision flow, digging into data, and building a rough prototype or demo with modern AI tooling. Solutions Engineers and Forward Deployed Engineers own production implementation; you can follow them all the way into the details. - Low-Ego, High-Ownership – You are hands-on where your judgment has the greatest leverage, collaborate effectively across functions, and want to build with customers and teams—not advise from a distance. - Experienced – You have 5-10 years of experience in enterprise technology, strategy consulting, digital or AI transformation, technical sales, complex delivery, or a similarly demanding customer-facing environment, including leadership of large accounts or programs. - Mobile – You are willing to travel up to 30% of the time. What You’ll Do - Shape high-impact AI transformations - Partner with Account Executives and Solutions Engineers early in strategic enterprise opportunities to qualify the opportunity, shape account strategy, and build credibility with executive stakeholders. - Lead use-case discovery and prioritization workshops that assess potential business impact, transformation potential, feasibility, implementation risk, and time to value. - Guide customers and internal teams to select the right landing or pilot use case, define which use cases should follow in later phases, and turn that sequence into a compelling AI-transformation roadmap. - Lead end-to-end process-mapping workshops for the selected use case. Surface and document current-state pain points, stakeholder needs, decision flows, data and technology constraints, the target-state process, and the customer’s wish list. - Define clear success criteria, measurable business-value metrics, and ROI frameworks that align business, risk, technology, data, and AI stakeholders before delivery begins. - Own Taktile’s most strategic value deliveries - Act as a senior sponsor for complex post-sale programs, ensuring delivery quality, executive alignment, measurable outcomes, and a clear path from the initial use case to scaled adoption. - Lead pilot and proof-of-value programs in partnership with Forward Deployed Engineers. Guide solution design, evaluation methodology, performance assessment, stakeholder reviews, and the priorities for subsequent iterations. - Translate technical results into clear business implications and present progress, trade-offs, risks, and quantified value to both customer executives and internal stakeholders. - Accelerate revenue and product excellence - Identify expansion opportunities based on demonstrated value and customer priorities, and shape the narrative, sequencing, and operating plan for additional use cases. - Bring customer realities, market dynamics, and field feedback back to Product and Engineering, and turn lessons from engagements into repeatable discovery methods, delivery playbooks, ROI frameworks, and industry-specific patterns. - Act as a force multiplier across accounts and teams by coaching colleagues on strategic problem-solving, executive communication, use-case framing, and delivery leadership. Ideal, But Not Required - You are a domain expert and can engage credibly in front of customers and internal teams for one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing. - You have led AI, data, risk, or decisioning transformation programs within banks, insurers, lenders, or other regulated financial institutions. - You have deep experience in one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing. - You have operated at Engagement Manager, Principal, Director, Partner, or an equivalent senior level in strategy consulting, digital transformation, enterprise technology, technical sales, or customer delivery. - You understand the financial-services technology and vendor landscape and can help customers evaluate architecture, operating-model, and build-versus-buy trade-offs. - You have experience coaching teams, codifying best practices, and raising the quality of work across multiple strategic accounts or programs. Our Offer - Work on hard, meaningful problems with real-world impact. - Receive top-of-market equity and cash compensation. - Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes. - Join us onsite in our inspiring office spaces in the heart of Berlin, London or New York and travel to bi-yearly company-wide meetings around the world. - Shape how enterprise SaaS is delivered at scale. - Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Use the equipment of your choice including a meaningful home office set-up. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for business operations managers to join the team. You’ll work closely with folks across marketing, sales, operations, and finance on a variety of initiatives to help scale the business in our next phase of growth. You’ll be a generalist who gets in the weeds on all the business and operational aspects of a high-growth startup. WHAT YOU’LL WORK ON: - Drive in-depth quantitative analyses to inform our pricing and packaging strategy - Help spin up our deal desk and streamline enterprise deals - Support the exec team on various finance functions, from investor relations to large cloud vendor negotiations to identifying cost optimization opportunities - Implement new tools and processes to enable the GTM org to grow rapidly - Get creative on a spectrum of ad hoc projects like securing new office space in Manhattan YOU MAY BE A FIT IF: - You have 5+ years of experience working in some kind of business function (e.g., banking, consulting, startup) - You have some exposure to tech and coding (in order to understand our product and customer, work with analytical tools, and build out custom tooling) - You’re analytical, organized, and detail-oriented, and you hold your output to a high bar of excellence - You’re eager to learn about a variety of different business functions and juggle many projects at once - You’re excited about working in person in NYC

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role Ads Team: Duolingo's Monetization pillar builds the systems that fund our mission: from subscription packaging and advertising to ML-powered personalization and beyond. As a Senior iOS Engineer on Ads, you'll work on a product engineering team responsible for growing and scaling Duolingo's ads business: bringing high-quality ads that delight learners, fit seamlessly into our product experience, and meaningfully contribute to Duolingo’s bottom line. The team will own the systems behind ad serving, mediation and demand, in-product ad formats and surfaces, and more. You'll work cross functionally with product, design, data science, machine learning, and ad operations. 🧠  You will... Collaborate on software projects with product design and backend aspects Develop, release, and maintain native iOS applications, primarily in Swift Mentor and set technical direction for junior engineers across the company ✅  You have... A Bachelor’s degree in Computer Science or a related technical field A solid foundation in computer science with strong competencies in data structures, algorithms, and software design Programming experience in Swift ⭐  Exceptional candidates will have... Strong proficiency in Swift, with proven ability to build and maintain production-level applications Strong technical knowledge of iOS mobile application development for iPhone/iPad using Swift with Cocoa Touch and related frameworks Experience designing clean and maintainable APIs Experience with multithreaded programming Experience writing unit tests and testable code Knowledge of iOS SDK performance tools and optimization techniques The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $177,700 — $240,400 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

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 We are looking for an Product Manager, New Verticals to define, build, and scale AI agent–powered solutions for Harvey’s most strategic customers – enabling successful deployments and uncovering new solutions to unlock new opportunities for Harvey. This role sits at the intersection of deep customer discovery, sales, complex workflow mapping, AI/LLM capabilities, and hands-on delivery. You will work closely with key accounts to understand their highest-value use cases end to end, translate those into agent-powered solutions (out-of-the-box or net-new), and partner with engineering, research, and leadership to bring them to life. You’ll be responsible to drive repeatability—turning bespoke deployments into scalable products, pricing models, and commercial frameworks for entire verticals. WHAT YOU'LL DO - Partner directly with strategic accounts to uncover high-impact workflows and translate ambiguous requirements into clear, actionable product definitions for agent-powered solutions. - Lead discovery for your assigned accounts and verticals, developing a deep understanding of user intentions, data constraints, workflows, and success criteria. - Map workflows to the broader product, identifying where out-of-the-box agent capabilities fit and where custom development is needed. - Drive deployments end to end—working with forward deployed engineering and customer teams to implement, test, and refine agent solutions. - Define and track success metrics for the verticals you support, ensuring solutions deliver measurable productivity and quality outcomes. - Develop account-level and vertical-level roadmaps, translating customer needs into scalable products or reusable frameworks. - Collaborate cross-functionally with founders, executives, engineering, and legal research to align product direction and ensure technical feasibility. - Influence new commercial models, including pricing, packaging, and deployment strategies for agent-led solutions. - Champion repeatability, helping transform one-off solutions into product features, components, or templates that scale across the customer base. WHAT YOU HAVE - 8+ years of work experience - Background in professional services (legal, consulting, banking, or adjacent fields) with experience operating in complex, high-stakes workflows. - 3+ years of product management experience or closely related roles (e.g., solutions, forward deployed engineering, product consulting). - Experience working in B2B or enterprise environments, ideally with AI, automation, or workflow tooling. - Demonstrated ability to ship and iterate on enterprise-grade software or high-complexity solutions. - Executive presence and a customer obsession mindset - Strong strategic thinking paired with detail orientation—able to zoom out to vertical-level needs while handling precise workflow nuances. - Ability to communicate both qualitatively and quantitatively; strong command of structuring ambiguous problem spaces. - Comfort navigating extreme ambiguity, defining structure from zero, and driving clarity for cross-functional teams. - A scrappy, ownership mentality—willing to jump on flights, run QA, troubleshoot with engineering, or support customer teams when needed. BONUS POINTS - Experience building or deploying AI agents, workflow automation tools, or retrieval-augmented systems. - Experience as a forward deployed engineer, solutions architect, or consultant with strong product instincts. - Prior role in a hyper-growth startup or high-performing enterprise product org. COMPENSATION RANGE $215,000 - $300,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CL1 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: Hong Kong 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. Who You Are: We are looking for talented software engineers to join our Lending technology team to build the next generation of crypto Lending systems. You can work independently, have strong analytical and problem-solving skills, and a desire to own issues and see them through to resolution. What You'll Do: You will work on core lending infrastructure, including collateral management, interest calculations, liquidations, and integrations with blockchain networks and traditional financial systems. Responsibilities will include: Design, develop, and maintain backend services for crypto lending and borrowing products Implement core lending logic including: Loan origination and lifecycle management Collateral valuation and margining Interest rate models and accrual Liquidation and risk management mechanisms Build reliable, scalable APIs for internal and external consumers Integrate with blockchain networks, smart contracts, custodians, oracles, and pricing feeds Collaborate with product, risk, and compliance teams to translate business requirements into robust systems Write clean, well-tested, and well-documented code Participate in code reviews and architectural discussions Monitor and improve system performance, security, and reliability in production What We’re Looking For: 10+ years of relevant development experience Excellent core Java skills Knowledge of Spring and Kafka Experience developing microservices Code optimization and profiling capabilities Bonus Points: Experience leading a team Development experience with OMS and Risk Systems Knowledge of traditional financial products Options Forwards Futures Docker / Kubernetes / AWS Knowledge of crypto Knowledge of crypto products Perpetual Forwards (perps) On-Chain Borrows / Lends What We Offer: Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups Apply now and join us on our mission to engineer a new economic paradigm. 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: 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: As a Research Product Manager for the Labs teams at Anthropic, you will own the ideation and development of new, moonshot products as we advance transformative, safe AI. The Labs team runs Anthropic's most ambitious experiments: new product categories that don't exist yet. The team focuses on 0-to-1 product development, taking our most advanced research and transforming it into innovative applications like Claude Code and MCP. We seek experienced founders and product managers who can bridge pure research and ambitious product experimentation, with the ability to identify and ultimately define entirely new product categories enabled by AI. Responsibilities: Work with researchers to understand what's emerging and what it means for users Identify nascent research capabilities that could become transformative products Build prototypes yourself to validate ideas before committing resources Lead 0-to-1 product development from research to internal prototypes to shipped products Define product strategy for experimental initiatives that push beyond our current offerings Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Minimum Qualifications You might be a good fit if you: Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. Have the ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Have a track record of launching ambitious products that have found distribution or commercial success Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and hands-on with emerging research and industry trends Prototype with AI tools like Claude Code Preferred Qualifications Have 5+ years in product management, with experience launching new products and scaling existing products. Founder background is a plus. 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: $385,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of strategic accounts in our Enterprise Tech segment. As our dedicated Outcomes AI Manager for Strategic Tech Customers  you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment. Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies. You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet. Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling. A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality 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: $265,000 — $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: New York, United States Workplace: hybrid Role As, a Senior Account Executive at Sokin, you will act as the initial point of contact for prospective corporate clients across the mid-market and enterprise segments. You will be responsible for sourcing, qualifying, and engaging high-value opportunities, building a strong pipeline that supports long-term client relationships. This is a high-impact commercial role designed for an ambitious individual looking to develop into a future sales leader. You will gain strong exposure to SOKIN’s suite of solutions — including global payments and receivables, FX, and treasury management — and work closely with sophisticated businesses to support their cross-border financial needs. You will be equipped with best-in-class tools, and a proven sales playbook to enable success. About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across: Global payments and receivables Foreign Exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America. Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. Key Responsibilities Proactively identify, research, and develop new business opportunities across the mid-market and enterprise segments through LinkedIn, CRM intelligence, partner referrals, targeted outbound prospecting, and other channels. Conduct structured qualification by evaluating client needs, treasury requirements, FX exposure, and complexities across international payments and cross-border receivables. Lead initial engagement with senior stakeholders and decision-makers, leveraging a multi-channel approach across email, phone, LinkedIn, and strategic social outreach. Secure and coordinate high-value discovery calls and commercial meetings, ensuring opportunities are well-qualified and positioned for progression through the sales pipeline. Collaborate closely with internal stakeholders — including Marketing, Compliance, Product, and Client Onboarding — to drive seamless opportunity conversion and an exceptional prospect experience. Maintain accurate, timely, and commercially relevant documentation of all activity, pipeline status, and prospect insights within the CRM, ensuring visibility and reporting integrity. Support the planning and execution of outbound campaigns and targeted go-to-market initiatives across assigned sectors, regions, or strategic verticals. Consistently deliver against performance objectives, including weekly activity benchmarks and monthly qualified opportunity targets, contributing to overall revenue growth and pipeline health. Build commercial knowledge across international markets, enterprise sales methodology, FX and treasury solutions, while leveraging ongoing development opportunities within SOKIN’s broader commercial organisation Requirements 6+ years of proven enterprise sales experience, with a strong track record of managing complex, high-value deals and long sales cycles across senior stakeholder groups. Recognised champion and advocate within their specialist field, demonstrating deep market expertise, thought leadership, and the ability to influence customers and internal teams. Strong ability to conduct high-quality discovery and structured qualification, uncovering commercial priorities, operational pain points, and treasury requirements to position solutions effectively. Excellent written and verbal communication skills, with the ability to deliver clear, compelling, and value-driven messaging tailored to finance leaders and decision-makers (CFO, FD, Treasurer, Head of Finance). Commercially sharp, with strong business acumen and the ability to prioritise opportunities based on value, urgency, and strategic fit. Naturally curious and coachable, with a growth mindset and commitment to developing into a trusted advisor for clients and internal stakeholders. Highly organised and detail-oriented, with strong CRM discipline and a structured approach to pipeline management, forecasting, and reporting. Tech-savvy and confident using modern sales tools and CRM systems (Zoho experience is an advantage). We are an equal opportunities employer committed to creating an inclusive work environment. As a growing global startup, we value agility and flexibility in our working culture. If you require any accommodations during the recruitment process, please let us know.

Location: Remote / San Francisco / New York / Salt Lake City The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. This role focuses on product marketing, positioning, messaging, and activation, with a strong emphasis on copywriting. You’ll work across projects from concept through launch and execute directly. As a small, fast-growing team, this role offers room to grow laterally and help shape the marketing function at Databento. Responsibilities Write and review landing pages, activation flows, and sales copy to drive engagement and conversion. Drive product marketing initiatives, including positioning, messaging, and launch campaigns. Plan and execute content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification). Collaborate with product, sales, and growth teams on experiments, campaigns, and activation strategies. Track and measure performance using analytics, dashboards, and CRM tools. Support cross-functional initiatives to optimize user acquisition, engagement, and conversion. Requirements Bachelor's degree. At least 4 years of experience in marketing or communications, with a strong emphasis on copywriting, content strategy, or brand messaging. Writing samples across mediums, such as product and UX copy, landing pages, blog articles, SEO content, or social media. Experience marketing to technical audiences (engineers, finance professionals, scientists). Experience supporting product launches, sales copy, experiments, activation flows, or conversion optimization. Experience creating content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification). Familiarity with marketing ops and analytics (CRM, dashboards, funnel tracking). Familiarity with marketing design tools (e.g., Canva, Figma). We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $100,000–$185,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk! THE PRODUCT Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ EXAMPLE INITIATIVES - Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic. - Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects. - Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs. RESPONSIBILITIES - Iterate like crazy - Design ergonomic APIs and abstractions to model complex resources and lifecycles - Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features. - Fine-tune and deploy models to develop intuition around training workflows. - Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows. - Drive long-term improvements to improve reliability of systems and velocity of development - Fix bugs & resolve customer issues with urgency REQUIREMENTS - 5+ years experience building software applications - Deep knowledge of the web stack, databases, and distributed systems - Experience developing developer tooling or infrastructure products for external or internal users. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Driven by high agency and ownership - Strong communication skills with the ability to bridge technical depth and business needs NICE TO HAVE - Experience launching features and products through different release cycles (MVP, Beta, GA, etc.) - Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc. - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents - Frontend fluency BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Healthcare) at Anthropic, you'll join the foundational team at the forefront of introducing our frontier AI platform to healthcare organizations. You'll drive adoption of safe, frontier AI by securing strategic deals with health systems, hospitals, and payor organizations. You'll leverage your consultative sales expertise in healthcare to grow revenue while becoming a trusted partner to healthcare stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with healthcare decision-makers. The ideal candidate has a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you'll help healthcare enterprises obtain new capabilities while advancing the ethical development of AI. Key responsibilities Own a book of strategic, high-value accounts across health systems, hospitals, and payor organizations — driving the full sales cycle from outbound to close and navigating complex organizations to reach key clinical, administrative, and payor decision-makers Design and execute sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes, translating market landscape and trend analysis into targeted account plans and campaigns that meet and exceed revenue targets Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for both healthcare delivery and payor use cases Run a disciplined pipeline and forecasting cadence, managing an evolving sales process to deliver predictable, coachable performance against quota Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition for healthcare organizations Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across health systems and payors Minimum qualifications 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organizations A track record of managing complex, multi-stakeholder sales cycles within healthcare organizations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases Extensive experience negotiating complex agreements within healthcare procurement frameworks, including value-based care contracts and payor policies Proven experience exceeding revenue targets in healthcare by effectively managing an evolving pipeline and sales process Excellent communication skills, with the ability to present confidently across healthcare audiences — from physicians and nurses to C-suite executives and payor leadership A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organizations A strategic, analytical approach to assessing the healthcare market, paired with creative, tactical execution to capture opportunities Experience developing and refining healthcare AI use cases in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency Passion for and/or experience with advanced AI systems and their clinical applications, with strong conviction around safe, ethical development for AI in clinical use 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: $380,000 — $450,000 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: San Francisco; New York City Workplace: Hybrid WHAT YOU’LL DO Drive Revenue & Qualify Opportunities - Balance dual inbound and outbound responsibilities to drive pipeline growth - Qualify inbound enterprise prospects using BANT criteria to identify high-value opportunities for Account Executive handoff - Execute targeted outbound campaigns to penetrate specific industry verticals Strategic Outbound & Market Development - Use social selling to represent the Perplexity brand—posting, commenting, and experimenting with new formats to stay top-of-mind with prospects - Research and map accounts within assigned verticals to build comprehensive prospect lists - Develop vertical-specific messaging that resonates with industry pain points and use cases for Perplexity Enterprise - Contribute to top of funnel strategy Sales Operations & Excellence - Maintain pristine data hygiene in Salesforce, ensuring all prospect interactions and qualification criteria are documented - Respond rapidly to inbound inquiries with consultative, value-driven communication - Build and iterate on outbound sequences that drive consistent pipeline generation What You'll Need Core competencies - Exceptional communication skills: Ability to articulate complex AI/search solutions clearly via email and phone, adapting tone and technical depth to various stakeholders - Vertical expertise: Demonstrated understanding of at least one key industry (e.g., Financial Services, Healthcare, Legal, Consulting) with ability to speak to industry-specific challenges - Sales acumen: Proven ability to qualify prospects using BANT methodology while maintaining velocity in the sales cycle - Technical aptitude: Comfort discussing enterprise software, APIs, and AI capabilities at a high level - Self-starter mentality with ability to manage competing priorities (closing deals vs. qualifying for AEs) - Data-driven approach to tracking conversion rates, response times, and pipeline metrics - Intellectual curiosity about how AI and advanced search transform enterprise workflows - Ability to thrive in a fast-paced environment where processes are still being defined Nice to Haves - 9 months to two years in SaaS sales development or business development roles - Experience selling to technical and non-technical buyers - Familiarity with enterprise AI/ML solutions or search technologies - Track record of consistently achieving 100%+ of quota - Pulling data with Salesforce Reporting, SQL or Business intelligence tools - Bachelor's degree or equivalent practical experience - Experience at a high-growth technology startup