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Location: San Francisco; Remote; 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 Harvey is building a world-class support function, and the pace at which our product evolves means enablement is the infrastructure our customer experience runs on. We're looking for a Manager of CX Knowledge & Enablement to build that infrastructure and lead the team that owns it. The function is new as of this quarter. The foundation exists; most of what it needs to become does not. Reporting to the CX Operations Manager, you will manage the Enablement team and own the knowledge infrastructure that customer-facing and AI-assisted work runs on, along with the competency and quality programs built on top of it: onboarding, ongoing product and process training, and quality assurance. You'll define what this function is responsible for, what it deliberately isn't, and the roadmap that gets it there. Your goal is to help CX specialists succeed: build confidence, develop the skills to handle complex customer issues, and consistently meet their performance targets through practical learning and support tailored to their needs. You'll lead a team that carries the execution, and you'll stay hands-on through a build phase where most of the system doesn't exist yet: designing the architecture, writing the first version of the standards, proving the model before handing it off. This is a role for someone with a point of view on where support enablement is headed in an AI-assisted org, and the bias for execution to get there. WHAT YOU'LL DO - Own the knowledge infrastructure strategy end to end: the architecture, the consolidation path off our current fragmented surfaces, the governance model, and the platform decisions. This covers the full content surface: enablement and training, product best practices, troubleshooting, and product support. - Architect that knowledge to be structured, retrievable, and reliable enough to serve both human and AI consumers. - Own the standards for support competency at Harvey: what "ready" means from onboarding through mastery, how it's measured, and how readiness is maintained against a product that changes weekly. - Own the quality system as the diagnostic layer on top of the infrastructure. Where knowledge is wrong, missing, or unfindable it should route back into the platform rather than into a training backlog. - Build the release-to-readiness loop with Product and Product Ops and the mechanism that converts what's shipping into organizational readiness ahead of the ticket volume. - Design a balanced, audience-appropriate learning strategy. Choose the right mix of instructor-led sessions, self-paced modules, written documentation, short-form video, peer learning, and in-workflow guidance for each audience, type of content, and level of urgency. - Build and lead the team that maintains the system: hire ahead of need, set a high bar, and scale the team's capability in step with the organization it serves. - Measure the system by its downstream outcomes: specialist ramp time, attainment of performance targets, speed to competency on new releases, resolution quality, and deflection through self-serve and agent-handled resolution. Combine quantitative metrics with structured specialist feedback, turn the findings into targeted action plans, and report on effectiveness to leadership - Use AI in the work itself, not just as a consumer of it: generating and maintaining content, detecting staleness and gaps from ticket signal, and automating the parts of enablement that shouldn't need a person. Treat the team's own leverage as something to keep raising. - Partner with the AI Support team, Engineering, Product, and GTM Enablement to make sure the knowledge layer serves every surface that depends on it, and own the agent-facing content itself. WHAT YOU HAVE - 8+ years across knowledge management, support enablement, education, trust & safety, or a related function, including experience building or leading a team and owning a system rather than a program. - 4+ years managing teams in a high-volume environment serving enterprise customers. - Demonstrated experience in architecting knowledge to be serviceable at scale. You've built a knowledge system serving a large user and AI agent population, and you can speak to the architecture decisions and what they bought you. - A point of view on what enablement becomes when agents handle the first line and specialists only see the hard cases: how the competency bar moves, what training is for, and which parts of the traditional playbook stop applying. You're rebuilding the function for where support is going, not porting what worked before. - Track record of owning a consolidation or platform migration that retired fragmented surfaces and got an organization onto one system. - Experience launching, managing, and improving knowledge or training platforms, with measurable operational improvement to show for it. - Data-driven approach to measuring impact: comfortable defining success metrics, instrumenting ramp, quality, and resolution outcomes, and using what they show to decide where to invest. - Strong instructional design range, including the judgment to choose the right format for each learning need and to adapt content for different audiences, tenure levels, and learning preferences. - Experience working in fast release cycles and adapting content rapidly as products and processes evolve. - Deep familiarity with AI-assisted support workflows and what it takes for an agent and a specialist to handle complex technical customer issues with confidence. - Experience building content for AI systems as well as people, or a clear point of view on what changes when both are consuming the same knowledge base. - Strong cross-functional instincts, you know how to partner across Product, Engineering, AI, and GTM to get the right things built and adopted without needing to own the technology yourself. - Excellent communication skills and the presence to establish credibility for your team's work across the organization. - Bonus: experience supporting a legal, regulated, or otherwise high-stakes customer base. COMPENSATION $144,000 - $216,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CG1 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: Toronto Workplace: OnSite 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 As Workplace Specialist, you are Harvey's Workplace team in Toronto. You run the office end to end: the space, the service partners behind it, the experience employees and clients have in it, and the front door. You are the person everyone in the office turns to, and the one who actually knows. Your manager sits in another office and time zone. You take priorities and standards from them and from the global Workplace team, then run the office with real independence. You escalate the calls that need a manager: contract terms, spend above your authority, and anything with cost, risk, or precedent attached. Our Toronto office is a serviced suite at iQ Offices, 302 Bay Street. Much of your building work runs through the iQ team rather than a traditional landlord, and as Toronto grows you will help shape what the next space needs. This is a fully in-office role, Monday through Friday, 9:00am–5:00pm, with flexibility for early setups, events, and the occasional after-hours matter. WHAT YOU'LL DO The Office Standard - Hold the office to the standard the Workplace team sets for appearance, cleanliness, and readiness, and flag what is slipping before it becomes visible - Walk the office daily and find maintenance needs, safety concerns, and service gaps before anyone reports them - Be the first person anyone asks about how the space works Building & Facilities - Hold the day-to-day relationship with iQ Offices and building management: work orders, approvals, access, and follow-through - Manage facilities issues (HVAC, plumbing, lighting, doors, appliances, repairs), managing iQ through resolution, and confirm the fix held - Coordinate deliveries, freight, and loading dock bookings within the building's rules - Escalate any building matter that carries cost, risk, or precedent to your manager Vendors & Food and Beverage - Keep the Toronto vendor book current: contacts, scopes, performance notes, COIs, and renewal dates - Hold vendors to scope, address service issues directly, and escalate patterns rather than incidents - Run the pantry, snack, coffee, and catered lunch program; track consumption and cost per head - Source local Toronto vendors for catering, supplies, and services as the office grows Front of House & Guests - Own the front door: greet employees, candidates, and clients, and manage the visitor experience end to end - Issue and revoke employee badges and keep building access accurate, to the policy set by Workplace and Security - Receive and route mail, packages, and couriers - Arrange cover through iQ reception or a backup plan agreed with your manager when you are out Employee Experience & Events - Plan and run Toronto onsite events, celebrations, team lunches, and all-hands viewing logistics, end to end - Deliver client and executive visits: room sets, catering, AV readiness, and the details that make Harvey look sharp - Host travelling employees and leaders from other offices, so desks, access, and logistics are ready before they land Onboarding - Run the Toronto new hire Day 1: desk setup, badges, building access, welcome, office tour, and swag - Partner with People Ops and IT so every new hire is set up before they arrive Space, Supplies & Budget - Keep the seating chart accurate and execute moves, adds, and changes - Track desk utilization and flag capacity pressure early, with the data behind it - Own office supply inventory and ordering, including first aid and emergency supplies - Submit new and recurring POs via our Procurement platform - Track Toronto Workplace spend against budget (invoices, POs, cost per head), and partner with Finance on payment Safety & Compliance - Execute the emergency preparedness program: maintain the floor warden roster, join building drills, and coordinate with building life safety - Serve as first responder during a workplace incident and report it through the process your manager owns - Keep the office aligned with Ontario workplace health and safety requirements (for example, required postings and first aid kits), with support from People Ops Systems & the Global Team - Administer Workplace tools day to day (ticketing, seating, visitor management) and keep records accurate - Own the Toronto Workplace request queue: resolve what you can, route what belongs to IT, People Ops, or Security - Document how Toronto runs in SOPs and the site playbook, so anyone could pick it up cold - Adopt global Workplace programs and standards locally, and tell the team where Toronto needs something different - Partner with IT on conference room and AV readiness WHAT YOU HAVE - 4+ years in workplace operations, office management, facilities, or hospitality, including time as the primary or only Workplace person on site - Breadth across facilities, vendors, front of house, events, and onboarding. You are as comfortable with a work order as with a client visit - Direct experience managing vendors and holding them to scope, including the difficult conversation when service slips - A foundational understanding of office systems (HVAC, plumbing, electrical, lighting), enough to describe a problem accurately and judge whether the fix held - Experience with event and hospitality execution: catering, setups, and the details guests notice - Comfort tracking spend, invoices, and POs, and turning day-to-day data into a clear picture for your manager - Strong judgment working with a remote manager: you know what to handle, what to flag, and how to keep them informed without being chased - Clear, professional written and verbal communication - A self-starter who builds process where none exists yet - Calm and resourceful when things go sideways, with no one down the hall to hand it to - Genuine care for how the space feels to the people in it - Knowledge of the Toronto vendor market and Ontario workplace requirements is a strong plus - Experience in a serviced or flex office environment, or supporting an office opening or expansion, is a strong plus WHAT WE OFFER - Be part of building something special as a founding member of our Toronto team - Structured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home COMPENSATION CAD $76,000 - 114,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. We are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output. #LI-ML3 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA 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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team Create technical content for startup audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial 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: $280,000 — $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: 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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work Create technical content for startup audiences including documentation, tutorials, and sample code Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need 4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial 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: $280,000 — $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: Austin, TX, United States, Chicago, Illinois, United States, Redwood City, CA, United States, San Francisco, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHAT MAKES US DIFFERENT We operate with a founder-like mindset: we move fast, take ownership, and hold ourselves to a high bar. We are genuinely customer-obsessed, and we bring that same curiosity and care to how we work with each other. If you want to work somewhere that challenges you, trusts you, and gives you the opportunity to do work that actually moves the needle, Box is that place. WHY BOX NEEDS YOU Every enterprise is sitting on a goldmine they can't access. Millions of documents, contracts, presentations, images, and emails, the institutional knowledge that defines how a company operates, are locked in legacy systems, invisible to the AI models and agents that could transform how work gets done. Box is the platform that changes that.Box has seen a major evolution since pioneering cloud storage solutions. Today, we are building the secure, intelligent content layer that connects enterprise knowledge to AI powering any model, any agent, and any workflow, while maintaining the governance, compliance, and control that the world's largest organizations demand. AI is only as powerful as the information it can securely access, and that is exactly what Box provides.The enterprises that win the AI era will be the ones that can securely connect their models to the right knowledge, at the right time, with the right controls. Box is that foundation, and we've been building toward this moment for over 20 years. We are seeking high-caliber sales professionals to drive new customer acquisition and expand relationships across our largest enterprise accounts As an Enterprise Account Executive, you’ll be bringing in new logos as well as growing and expanding existing customers within our largest accounts. You won't be selling a point solution, you'll be helping all lines of business rethink the role of their most valuable asset, their content. WHAT YOU'LL DO Own a portfolio of strategic enterprise accounts (2k-10k employees) and lead complex, multi-stakeholder sales cycles that drive measurable business transformation, not just transactions. Exercise judgment in selecting methodologies, techniques and evaluation criteria throughout the sales process Partner with CIOs, CTOs, CISOs, and senior business leaders to identify where Box can unlock real, measurable value and change how an organization operates. Research and understand your customers and prospects to gain insight into their business challenges and Box value proposition Collaborate with internal teams across Solutions Engineering, Customer Success, Product, Marketing, Partners, and Executive Leadership to deliver outcomes that customers remember. Build, qualify, and advance pipeline by proactively creating urgency and driving opportunities forward through outbound prospecting and a hunter mindset. Serve as the voice of the customer by bringing market intelligence and customer feedback back to Product and GTM teams to shape how Box evolves. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 5+ years of enterprise field sales experience with a consistent track record of exceeding goals in complex, multi-stakeholder environments selling SaaS, cloud, data, cybersecurity, or AI solutions. Energized by C-suite engagement and know how to earn and maintain trust at the executive level across IT, security, legal, finance, and business leadership. Proven ability to translate complex platform capabilities into clear business value, communicating emerging technology effectively to diverse audiences, from technical practitioners to senior leadership. Proactive pipeline builder who identifies and develops opportunities through strategic prospecting, creative sourcing, and disciplined follow-through. Display curiosity about AI, eager to learn, and passionate about helping organizations navigate major technological advancements. Thrive in a culture of respectful candor: you communicate openly, welcome feedback, and believe that transparent, constructive dialogue strengthens team collaboration and decision-making. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. This is a field sales role with travel requirements up to 50%. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Austin Pay Range $238,000 — $297,500 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Chicago Pay Range $238,000 — $297,500 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $238,000 — $297,500 USD

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Business Risk & Insurance (BRI) team, part of Treasury, safeguards the company's balance sheet, people and physical assets. We are the financial and operational safety net for a company building some of the world's most advanced AI systems, from large-scale compute and data center infrastructure to our offices and the products we put in customers' hands. The team is scaling quickly as Anthropic grows. As a Risk & Insurance Specialist, you'll build operational excellence across contracts, claims, and day-to-day insurance operations, using AI and automation to streamline processes wherever you can. You'll work closely with Compute, Engineering, Finance, Legal, Security, Product and Payroll to spot emerging risks early, help structure global insurance programs, support our risk-financing strategy and drive loss prevention. This is a rare chance to insure one of the fastest-growing companies, where parts of the risk landscape are still being defined, and to help Anthropic pursue its mission boldly by keeping our operations resilient and protected. Key responsibilities Insurance review of contracts: Review insurance and indemnity requirements in customer, vendor, lease, and compute agreements, and advise Legal and business partners on compliant, practical positions. Insurance operations: Manage claims intake and tracking, certificates of insurance, broker coordination, and policy administration. Build a data warehouse / repository and repeatable processes as volume scales. Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions. Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions. Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination. Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools. Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business. Minimum qualifications Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting. Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar). Preferred qualifications 8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients Experience at, or insuring, a technology company or other fast-growing, complex organization Property insurance experience, including large or complex property, construction, or data center exposures Captive insurance experience (formation, management, fronting, or reinsurance) Experience insuring emerging technology risks, such as AI or technology liability and cyber Background at a major broker, carrier, or large technology company risk team Actuarial training or credentials, or experience with actuarial analysis Familiarity with insurance management systems, SQL or Python, or building workflow automation Experience building processes from scratch in an ambiguous, fast-moving environment 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: $180,000 — $230,000 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 City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing fast, and our SOX program needs to keep up. Many of the controls that matter for financial reporting run on engineering systems: who can access production and financial systems, how code changes are reviewed and deployed, and how usage is metered and billed. We’re hiring a Technical Program Manager to own the technology side of our SOX program. You'll work across engineering, security, GRC, Finance, and Internal Audit to design and run IT controls, drive gaps to closure, and make compliance lighter for engineering teams. You’ll also use Claude to automate evidence collection and control testing, so the program scales without more manual work. Responsibilities Own the technology side of the SOX program end-to-end, from planning and control design through evidence, testing, remediation, and year-end reporting Work with engineering teams to design and roll out IT general controls and IT application controls Work with engineering teams to build Claude-based workflows, tools, and dashboards to automate evidence collection, control testing, and monitoring that warns engineering teams about compliance issues before an audit finds them Lead large SOX projects, such as bringing new systems into scope, with clear success criteria, dependencies, and delivery dates Turn control requirements into concrete engineering work with clear scope, owners, and deadlines, and a design that fits how our teams already build and ship Build processes to evaluate new products, systems, and major engineering changes for SOX impact before they ship, so the right controls are in place from the start Build strong working relationships with engineering control owners, help them understand what their controls require, and support them in producing evidence for auditor requests Investigate control failures down to root cause, and drive engineering teams to fix them in time for the fix to be tested Help keep an up-to-date list of the systems, apps, and infrastructure in SOX scope, with an owner named for each control Track system migrations and scope changes, and make sure controls are updated as systems move Build metrics and dashboards on control health, open findings, and remediation progress Give regular updates on program status, risks, and remediation to technical leadership Keep improving the program: simplify control processes, remove manual steps, and raise the share of controls that run cleanly You may be a good fit if you Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls Have run or supported a SOX program at a public or pre-IPO company Have used automation or AI tools to make compliance work faster and more reliable Know IT general controls and IT application controls in depth, including access management, change management, and application controls, and how they support financial reporting Have worked closely with external auditors Understand cloud infrastructure and engineering workflows, such as code review, CI/CD, and cloud access, well enough to work through a control design with an engineer Can explain technical risks and control gaps clearly to executives and other non-technical audiences Are comfortable driving outcomes across engineering, finance, and audit teams that don't report to you Strong candidates may also have A background in software, systems, or security engineering Hands-on experience building with Claude Code or other AI tools Experience with automated controls in revenue or order-to-cash systems, such as billing and usage metering Experience with financial systems such as ERP and billing platforms, and the controls around them Experience building or rebuilding a SOX program at a fast-growing company Familiarity with other security and IT frameworks, such as NIST or ISO 27001 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 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 Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive. You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers. This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows. Responsibilities Partner across Corporate Engineering domains to drive alignment and delivery : Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization Define and maintain core architectural foundations : Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows Lead office deployment and scaling programs : Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule Own internal systems and infrastructure programs : Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations Lead endpoint and device management programs : Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one Drive IT Operations excellence : Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness Manage enterprise software and platform programs : Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization Collaborate with cross-functional stakeholders : Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs Communicate effectively at all levels : Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company You May Be a Good Fit If You Have 8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams Strong Candidates May Also Have Experience scaling IT infrastructure in high-growth technology companies Background in IT service management (ITSM) frameworks and continuous improvement methodologies Experience with enterprise software evaluation, procurement, and vendor management Familiarity with modern endpoint management platforms and zero-trust security architectures Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments Prior technical experience as an IT engineer, systems administrator, or network engineer Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements 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: Brazil; Portugal SUMMARY: We are looking for a Web Engineer with strong React and Node.js experience to join an engineering team focused on Performance Marketing, Growth and Generative Engine Optimisation (GEO). The team builds the technology that supports Organic Search and Growth initiatives, helping ensure content is discoverable and cited across both traditional search engines and emerging AI-driven search experiences, including Google Search, AI Overviews, ChatGPT, Gemini and Google AI Mode. You will work on scalable web solutions that impact thousands of pages, including content scaling, structured data and page architecture. You will collaborate closely with engineers as well as Growth and SEO teams, contributing not only to development but also to improving the processes behind how content and web experiences are delivered at scale. We are looking for someone who combines strong web engineering fundamentals with curiosity, good communication skills and a proactive approach to solving problems. WHAT WILL YOU BE DOING: You will join our engineering team and become a valued member, working closely in a collaborative, autonomous, and cross-functional team. You will help with the following: Build and develop scalable web applications and pages using React and Node.js; Develop solutions that support Organic Search, Growth and GEO initiatives across thousands of web pages; Work on page architecture, content scaling and structured data implementations; Maintain, improve and troubleshoot existing web applications and websites; Collaborate closely with engineering, Growth, SEO and other stakeholders to understand requirements and translate them into technical solutions; Contribute to initiatives aimed at improving visibility across traditional search engines and AI-driven search platforms; Work with Content Management Systems and content-driven web experiences; Develop and consume APIs and integrate services where required; Test solutions across different browsers and devices and identify technical issues; Use Git-based source control and modern development workflows; Contribute ideas for improving applications, development processes and the way the team delivers solutions at scale; Participate in Agile ceremonies, technical discussions and project planning; Take ownership of assigned tasks and deliver high-quality solutions within agreed timelines. WHAT WE ARE LOOKING FOR: Bachelor's degree in Computer Science or any related technical field. Strong professional experience in modern web development; Strong proficiency in React.js and its core principles; Strong proficiency in Node.js and experience building or supporting server-side web applications and services; Strong knowledge of JavaScript/TypeScript, HTML5 and CSS3; Experience building maintainable, scalable and reusable web solutions; Good understanding of modern frontend development practices, tooling and build processes; Experience working with RESTful APIs and integrating frontend and backend services; Good understanding of Git and collaborative software development workflows; Experience implementing responsive and cross-browser web solutions; Ability to write clean, maintainable and well-structured code; Strong analytical and problem-solving skills; A curious and proactive mindset, with the confidence to investigate problems and suggest improvements; Comfortable working on process-related initiatives alongside core software development; Experience working within Agile and cross-functional teams; Excellent written and verbal English communication skills, including the ability to work effectively with both technical and non-technical stakeholders. AWESOME BUT NOT REQUIRED: Previous experience working within SEO, Growth Engineering or Performance Marketing teams; Understanding of Generative Engine Optimisation (GEO) and how AI-driven search is changing content discovery; Experience with Content Management Systems (CMS); Experience with Umbraco or similar CMS platforms; Knowledge of structured data, schema markup and search-engine optimisation; Experience developing large-scale, content-heavy websites or platforms with thousands of pages; Familiarity with optimising web architecture and content for both traditional search engines and AI-driven search experiences. WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Ongoing Training & Mentoring The possibility to travel - ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL BASED ONLY

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. _______________________________________________________________________ WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture _______________________________________________________________________ WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Los Angeles, USA As the VALORANT Publishing Lead for the Americas , you will play a pivotal role in shaping and executing the publishing strategy across one of VALORANT’s most critical and high-stakes global footprints. You will bridge global ambition with local execution, ensuring our strategy serves a diverse player base across North America & Latin America. With deep expertise in competitive FPS gaming, publishing, and cultural offenses, you will act as the voice of the Americas region. You will lead cross-functional publishing teams, manage subregional strategies, and advocate for Americas players in global leadership discussions to amplify the game’s success and propel VALORANT into its next era. Responsibilities: Define and execute a cohesive publishing strategy for the Americas that aligns with global objectives while tailored to the unique cultural nuances and player behaviors across the US, Canada, LATAM, and Brazil. Serve as the strategic authority for the Americas, with dedicated focus on driving growth, cultural resonance, and retention across North America and Brazil. Act as the primary regional voice in global publishing and game leadership discussions. Integrate regional player insights into global product, marketing, and content roadmaps. Lead cross-functional discipline leads (Brand, Creative, Community, Comms, and Content) to execute Category Offenses, product launches, and ecosystem beats across the region. Oversee the Americas publishing OpEx budget, driving efficient resource allocation across subregions, optimizing marketing performance, and balancing global bets with local activations. Align local agency retainers, regional programs (e.g., VCT Americas, local roadshows, community events), and go-to-market activations with central publishing strategies. Recruit, mentor, and lead a matrixed, regionally diverse team of managers and individual contributors across the US, LATAM, and Brazil, fostering a high-craft, growth-oriented culture. Required Qualifications: 12+ years of experience in video game publishing, entertainment, or tech, with a track record of driving product, marketing, and community strategy for major live-service titles. 5+ years of experience directly managing and leading multi-functional, multicultural teams across different international markets. Deep understanding of the gaming landscape, creator economy, and cultural nuance across North America and Latin America, with specific expertise in the US gaming and esports ecosystem. Proven ability to launch, scale, and sustain live-service game products or major content beats in a complex, multi-region territory. Demonstrated success navigating matrixed organizations, advocating for regional needs with executive stakeholders, and executing within budget constraints. Desired Qualifications: Professional fluency in English, with a strong benefit to proficiency in Spanish or Portuguese Deep familiarity with the VALORANT player base, VCT ecosystem, and the tactical FPS genre. Strong quantitative background with a track record of using data, player insights, and attribution models to optimize strategy and publishing outcomes. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Staten Island 📍 Location: Staten Island, NY 🕒 Schedule: Tuesday, Wednesday, and Thursday, 3:30 PM to 5:30 PM 🏠 Setting: In-home services About the role LBAPS is seeking a female Behavior Technician (BT) for an in-home case in Staten Island. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female staff member required ✅ High school diploma or equivalent ✅ Experience working with children ✅ Patient, dependable, and caring What we offer 💰 $22.50 per hour 🕒 Tuesday to Thursday, 3:30 PM to 5:30 PM 💙 Opportunity to make a difference in a child's life 📩 Apply today to be considered.

Location: Portugal; Brazil SUMMARY: We are looking for an experienced Head of Revenue Operations & Sales Automation to help build and scale the commercial operations behind a growing international professional services business. This is a senior, hands-on role sitting at the intersection of Sales, Finance, Delivery, Marketing and Technology. You will be responsible for creating clearer commercial processes, improving data quality and forecasting, and using automation and AI to reduce manual work and enable teams to spend more time with clients, candidates and growth opportunities. You will lead a small team focused on revenue intelligence, systems, automation and enablement, while working closely with senior commercial and finance stakeholders. WHAT WILL YOU BE DOING: As part of an agile software development team, you will: Own and continuously improve the commercial operating model, including sales stages, pipeline rules, forecast categories, MEDDPICC standards and regular commercial review processes. Build a trusted commercial data model across HubSpot, Bullhorn, Finance systems and Power BI. Establish clear standards for data quality, ownership, accuracy, completeness and reconciliation. Provide commercial leaders with meaningful visibility into pipeline health, forecasting, conversion, productivity and commercial risk. Own the roadmap for HubSpot, Bullhorn, Power BI, integrations, workflow automation, sales tooling and approved AI solutions. Identify opportunities to automate repetitive processes and reduce manual administration across sales and recruitment workflows. Design practical AI-enabled workflows where AI can prepare, analyse, recommend and complete appropriate low-risk tasks while maintaining clear human oversight. Establish appropriate governance around automation and AI, including permissions, testing, monitoring, data access and approval processes. Work closely with Finance on commission inputs, reconciliation, audit trails and exceptions. Partner with Marketing to improve lead definitions, scoring, routing, hand-offs and campaign-to-pipeline reporting. Embed MEDDPICC into CRM workflows, qualification standards, deal reviews, forecasting and manager coaching. Create dashboards, playbooks and practical tools that help managers, sellers and recruiters make better commercial decisions. Lead the adoption of new processes and technology through pilots, training, communication, feedback and continuous improvement. Review the commercial technology portfolio and identify opportunities to simplify tools, improve integrations and demonstrate value from technology investment. Manage external implementation partners where specialist HubSpot, Bullhorn, Power BI, integration, data or AI expertise is required. WHAT WE ARE LOOKING FOR: 5+ years' experience leading Sales Operations, Revenue Operations, commercial systems or go-to-market transformation within a B2B environment. Strong experience designing, implementing and driving adoption of CRM processes, ideally within HubSpot. Confidence working across CRM, ATS, reporting and finance-related data workflows. Strong understanding of pipeline management, forecasting, sales process design, data governance and commercial reporting. Practical experience implementing workflow automation, system integrations or AI-enabled process improvements. Strong analytical capabilities and experience with Power BI or comparable reporting platforms. Experience turning commercial data into actionable insights for senior leadership and sales management. Strong stakeholder-management skills, particularly when working with senior Sales and Finance stakeholders. Proven ability to drive organisational and behavioural change rather than simply implementing technology. Ability to combine strategic thinking with hands-on execution in a lean and fast-moving environment. A commercial mindset with a focus on measurable improvements in forecasting, productivity, adoption and revenue performance. Strong verbal and written communication skills in English AWESOME BUT NOT REQUIRED: Experience implementing MEDDPICC or another structured B2B sales methodology. Experience working with Bullhorn or another recruitment-focused ATS. Experience supporting commissions, incentives or sales-performance management processes. Previous ownership of a HubSpot implementation, major CRM migration or multi-system integration programme. Experience designing or implementing AI-enabled sales or revenue operations workflows. Familiarity with AI governance, data privacy, permissions and access controls. Relevant certifications in HubSpot, Revenue Operations, Power BI, data governance, automation or change management. Experience working within professional services, technology consulting, recruitment or another people-led B2B services environment. WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture. A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Ongoing Training & Mentoring The possibility of travelling - ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL BASED ONLY

Location: Berlin Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Adoption of AI is moving rapidly from pilots to production. Enterprises and public sector organizations are investing in generative-AI programs, creating a once-in-a-decade market inflection point. At Cohere, we're committed to transforming the enterprise landscape through strategic partnerships and innovative AI solutions. As a Partner Development Manager for Germany and the DACH Region focused on the Public Sector & Enterprise Market, you'll be at the heart of our mission to empower businesses and government entities across the region with cutting-edge AI technologies. This role is perfect for someone who thrives in a dynamic, cross-cultural environment and is passionate about driving growth through collaboration. You'll work closely with leading enterprises, system integrators, technology partners, and public sector organizations to co-create value, expand market reach, and deliver impactful AI solutions tailored to the unique needs of businesses and government agencies. Your work will directly contribute to our success. You'll have the opportunity to shape partnerships that drive digital transformation in both commercial and public sectors, foster innovation, and position Cohere as a leader in the AI ecosystem. If you're a strategic thinker, a relationship builder, and eager to make a meaningful impact in one of the world's most dynamic markets including the public sector, this role is your chance to shape the future of AI. KEY RESPONSIBILITIES PARTNER STRATEGY & EXECUTION - Define and execute Cohere's partner go-to-market plan for the Enterprise & Public Sector Market, aligning with regional business objectives. - Partner with the broader GTM team to identify and recruit high-impact partners across system integrators, distributors, resellers, ISVs, cloud providers, and public sector consultancy firms. - Develop relationships with key stakeholders across the partner ecosystem, including government agencies, municipalities, and public sector institutions, to ensure partnership success. PARTNER ONBOARDING & ENABLEMENT - Lead partner onboarding, certification, and training programs to ensure partners are equipped to sell, deploy and manage Cohere's solutions effectively for both commercial and public sector customers. - Collaborate with enablement to scale partner enablement through sales and technical workshops, empowering them to deliver value to enterprise customers and government agencies. PIPELINE GENERATION & CO-SELLING - Own joint pipeline generation by creating co-sell motions, solution plays, and strategic joint go-to market motions that align Cohere's capabilities with enterprise mission needs and public sector procurement cycles. - Collaborate with partners to identify and pursue high-value opportunities in both commercial and government contracts. BUSINESS PLANNING & PERFORMANCE TRACKING - Ensure partners are aligned with Cohere's strategic goals and performance metrics, including public sector compliance and reporting requirements. - Run joint business planning sessions and quarterly business reviews (QBRs) with partners, tracking sourced and influenced ARR against targets. PARTNER ADVOCACY & FEEDBACK - Serve as the voice of the partner within Cohere, relaying feedback to Product, Engineering, and Legal teams. - Work with Cohere's Public Policy teams to navigate government AI policies and regulations to advise partners on risk management and responsible AI best practices for the public sector. THOUGHT LEADERSHIP & EVANGELISM - Evangelize Cohere's vision and solutions at partner and industry events, positioning Cohere as a leader in responsible GenAI for both commercial and public sector markets. - Build thought leadership through briefings, speaking engagements, and collaborative initiatives focused on AI in government and public services. WHY YOU'LL LOVE THIS ROLE This is a high-impact role where you'll shape the future of AI partnerships in both commercial and public sectors. You'll work at the intersection of technology, business, and policy, driving growth while ensuring responsible AI adoption across enterprises and government organizations. If you're passionate about building strategic alliances, driving innovation, and making a difference in one of the world's most dynamic markets including the public sector, this is the role for you. WHAT WE'RE LOOKING FOR - 8+ years of experience in partner development, channel sales, or alliance management within the tech industry, preferably in AI or cloud solutions, with a track record of enterprise ARR contribution and public sector partnerships. - Deep understanding of public sector organizations, government agencies, and municipal institutions, plus the enterprise market and key industry verticals. - Strong relationship-building and negotiation skills, with a track record of driving partner success in both commercial and public sector environments. - Experience and demonstrated depth with Sovereign Cloud GTM. - Ability to navigate complex regulatory and compliance landscapes, including AI ethics, government policies, and public sector procurement requirements. - Working understanding of AI (LLMs, retrieval-augmented generation, agentic workflows) and their applications in enterprise and public sector contexts. - Experience working with major system integrators, global consultancies, hyperscalers, and public sector technology partners including joint GTM and co-sell motions. - Excellent communication and presentation skills, with the ability to evangelize Cohere's vision to partners, government stakeholders, and industry organizations. - Results-driven growth mindset and bias for action. You thrive in a start-up-speed environment and enjoy building and scaling partner programs across commercial and public sectors. This role is ideal for someone who enjoys working in a dynamic, cross-cultural environment and wants to make a meaningful impact on how AI transforms both businesses and public services. The Berlin location provides access to a vibrant tech ecosystem with strong connections to European public sector initiatives and government partnerships. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Singapore Workplace: hybrid The Role We are looking for an ambitious, driven Product Manager to join our team. At Sokin, we are building a world-class product team that can help us remove the borders, barriers and burdens from global business. Product Management at Sokin is all about creating and delivering an ambitious roadmap with your team and working continuously with clients and stakeholders to ensure your product is driving real value for our customers and the business. This is an opportunity for someone who wants to be part of something challenging and transformative, someone who wants to play a critical role in driving our 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. As our APAC' Expansion Product Manager You’ll define the strategic roadmap for Sokin's banking connectivity across APAC, determining which markets we expand into, what capabilities we need, and how our infrastructure evolves to serve our clients' needs. You'll be responsible for building the business case for market expansion, analyzing client demand, payment volumes, competitive positioning, and regulatory requirements to prioritize where Sokin should establish presence next. This means understanding the specific payment needs of different APAC markets, from ACH requirements to local clearing preferences, and translating those into clear technical and commercial requirements. Working closely with our Banking Partnerships team, you'll define what we need from banking relationships in each market, then collaborate on sourcing and evaluating potential partners. Once partnerships are established, you'll work with engineering to scope and prioritize integration work, ensuring our technical implementation delivers the speed, reliability, and functionality our product roadmap requires. You'll own the ongoing performance and optimization of our APAC' banking infrastructure, monitoring transaction success rates, settlement times, and costs across different corridors, then identifying opportunities for improvement. This includes working with operations and engineering to resolve technical issues, evaluating when to add redundancy or alternative routes, and making data-driven decisions about infrastructure investments. A critical part of this role involves staying ahead of the APACs' payments landscape, tracking developments in instant payment schemes, open banking regulations, and emerging settlement mechanisms, then determining how these trends should influence our strategy. You'll also gather feedback from clients and sales teams to understand where our current infrastructure is limiting growth or creating friction. Your role as a PM at Sokin: Define and communicate the product strategy and roadmap aligned to the companies vision and strategy. Conduct market research to identify customer needs and market trends. Work directly with a cross-functional team of engineers to deliver value often. Spent time with customers to discover new product ideas, identify product improvements and validate product solutions. Collaborate with cross-functional teams including engineering, design, marketing, and sales to understand the value, feasibility, viability and usability of solutions. Create and manage product roadmaps, ensuring alignment with business goals. Prioritize product features and requirements based on customer value and business impact. Work closely with product marketing and sales to launch new products to customers. Monitor product performance and use quantitative and qualitative insight to drive continuous improvement. Act as the primary point of contact for all product-related inquiries. We’d love to hear from you if: You're excited by building B2B fintech products and have hands-on experience with banks, PSPs, and local payment rails across APAC. You own your roadmap and can identify problems, make decisions, and drive things forward without waiting to be managed. You're someone that enjoys getting into the details and understanding the mechanics of your product and the data behind it. You're a strong communicator and enjoy working in cross-functional teams alongside engineers, designers, and other functions to deliver value to users. You're comfortable working with financial, risk, and legal stakeholders to design solutions that are user-centric yet compliant. You have enough technical depth to work closely with engineers and find the best solution to a problem. You thrive in ambiguous environments and bring structure to them rather than waiting for it. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

Location: Global About the Company The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the eight years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 80 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About the Role KoBold explores across several continents and a widening set of commodities. This role is the geochemical capability that travels with those programs. Reporting to the Principal Geochemist, you will work as a functioning member of exploration teams in North America, Europe, and Africa; planning and running sampling campaigns, on the ground when it matters, and turning results around quickly enough to change what the team does next. The Principal Geochemist has responsibility for company-wide standards, independent data quality assurance, and global method and technology development. Your responsibility is in the practice, programs, field decisions, interpretation, and the day-to-day geochemical judgement that the exploration teams you work within depend on. You will work closely with data scientists and software engineers to develop new tools and drive an ever deepening analysis of results. You will work to company standards and audit against them in the field. You will be required to prioritize your time effectively across multiple projects, and multiply your reach by training field teams to sample well without you present. Responsibilities Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations Act as the embedded geochemist for exploration programs across North America, Europe, and Africa, joining project teams for the phases where geochemical decisions are being made and providing insight to existing hypotheses and the generation of new hypotheses fast enough to influence exploration decision making Design geochemical sampling programs fit for the terrain, regolith, and mineral system being tested, including orientation surveys and the choice of sampling medium, horizon, size fraction, spacing, analytical suite, and digestion, across glaciated terrain, deeply weathered tropical profiles, and arid or transported cover Own the geochemical component of drilling programs: sampling intervals and sample support, preparation protocols, quality control insertion, and real-time review of incoming assays against the geological model Apply and audit KoBold's geochemical standards and quality control procedures in the field, resolve routine control failures at program level, and escalate systemic or analytical problems to the Principal Geochemist, who retains independent data quality sign-off In close collaboration with the science team, interpret multi-element geochemical datasets across commodities and deposit types, including lithogeochemical classification, alteration and trace element vectoring, fertility screening, and appropriate treatment of compositional data Partner with geoscientists, data scientists and software engineers to improve existing tools, and develop new tools Assess legacy and third-party geochemical datasets during property evaluation and acquisition due diligence, judging quality, comparability, and fitness for purpose, and identifying where re-analysis or re-sampling is required before the data can carry weight Work alongside geologists, geophysicists, and data scientists to identify, rank, and prioritise targets, making geochemistry a primary input to targeting Coach and train field geologists and technicians in leading-practice sampling, and contribute to the standard operating procedures and field documentation that let sampling quality hold when no geochemist is on site Feed field experience back into method and technology development led by the Principal Geochemist, including practical trials of portable XRF, in-field sample preparation, and emerging analytical techniques Plan and manage a demanding international travel and deployment schedule, in coordination with the Principal Geochemist and project leadership Qualifications A great Senior Geochemist candidate will have: Strong technical knowledge of more than one ore deposit type and comfort moving between mineral systems. Experience across two or more of sediment-hosted stratiform copper, porphyry copper, IOCG, magmatic nickel-copper-PGE sulfide, or LCT pegmatite systems will be considered an advantage Demonstrated hands-on experience designing and executing surface geochemical programs, including orientation work, in more than one regolith or cover setting Experience running the geochemical side of drilling programs, from sampling protocol through quality control to interpretation of results as they arrive Practical command of quality control for sampling programs, including reference material and duplicate design, control charting, and precision and bias assessment, together with working knowledge of the Theory of Sampling Excellence in generative analysis, from new concepts through to the integration, interpretation, and modeling of large multi-element datasets Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS) and in at least one dedicated geochemical data analysis package (e.g., ioGAS) The ability to work effectively as a member of teams they do not manage, across cultures, time zones, and technical disciplines, and to earn influence through the quality of their judgement rather than through reporting lines Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration Willingness and ability to travel internationally for extended periods, and eligibility to work or obtain the necessary permissions across the regions covered by this role Demonstrated commitment to high standards of health and safety in the workplace A minimum of 8 years’ experience in the mineral exploration industry Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field. Ability to explain technical problems to and collaborate on solutions with domain experts who are not Geoscientists. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. A valid passport and willingness to travel to exploration sites around the world, especially during active field seasons. It is helpful but not required to have: Working knowledge of one programming or scripting language (e.g., Python, R) applied to geochemical data Knowledge of geostatistics, compositional data analysis, or other statistical methods relevant for analysis of geoscientific data Experience with portable XRF and in-field sample preparation as auditable, fit-for-purpose analytical capability Experience in environmental geochemistry, including baseline surveys and waste and tailings characterisation International experience, particularly in the Central African Copperbelt, or in the pegmatite provinces of central Africa and Namibia Professional registration or chartership (e.g., CGeol, FAusIMM, EurGeol, SACNASP) Working proficiency in French Note: Candidates whose background is in exploration geology with a strong geochemical specialisation, and who want to work as a geochemist across a global portfolio rather than a single project, are encouraged to apply. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt. The US base salary range for this full-time exempt position is $140,000-$185,000, plus equity and benefits including 401k matching. Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana. Please submit your application to: https://koboldmetals.com/careers/ What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. WHAT YOU'LL DO - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy WHAT WE'RE LOOKING FOR - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback NICE TO HAVE - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. WHAT YOU'LL DO - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy WHAT WE'RE LOOKING FOR - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback NICE TO HAVE - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.