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Location: Scottsboro, AL P hysical Therapist – Outpatient Ortho Build Your Outpatient Physical Therapy Career with us! SIGN ON BONUS OPTIONS UP TO $10k At Drayer Physical Therapy, part of the Upstream Rehabilitation network, you can focus on patient care while advancing your career in outpatient orthopedic physical therapy. We’re hiring full-time, part-time, and PRN Physical Therapists — including new grads — who want competitive pay, strong mentorship, and a clear path to professional growth that flexes with every stage of your career. Why Clinicians Choose Elite Physical Therapy Competitive Physical Therapist Salary: $75,000 to $90,000 / year Achievable monthly clinical bonus program, over 90% of clinicians qualify Student loan repayment assistance – directly to the principle of your loan! 100% employer paid medical health insurance premium option available Dental and Vision insurance 401(k) with company match Generous PTO and paid holidays Structured onboarding for new-grad Physical Therapists and ongoing mentorship In-house Residency/Fellowship programs and robust CEU opportunities – with annual allowance! Path to clinic ownership / partnership for long-term growth Modern clinical technology that reduces documentation time so you can focus on patients Supportive team and leadership invested in your success What You’ll Do as a Physical Therapist Develop individualized, evidence-based care plans for your patients Deliver high-quality, outcomes-driven therapy Collaborate with peers in a fun, values-driven team environment Build lasting connections with patients and local providers Continue learning and growing through Upstream’s education and development programs Qualifications Graduate of an accredited Physical Therapy program (DPT or equivalent) Active AL Physical Therapist license (or eligible) A Better Place to Build Your PT Career When you join Upstream Rehabilitation, you get the strength of a national network with the feel of a local clinic. Our central support teams handle the administrative work , so you can focus on what matters most — the patient in front of you. With a network of over 1,200 clinics coast-to-coast across 26 brand partners, we lead the industry in quality outcomes, leveraging data, technology, and innovation to reduce paperwork and give you more time for care. You’ll be part of a fantastic group of clinicians who shape our culture, create a positive work environment, and know how to have fun along the way. It’s easy to see why so many Physical Therapists choose to grow their careers with Upstream. Estimated pay ranges listed above are based on several factors including but not limited to your pay class, experience, background and geographic location of the clinic Benefits and eligibility are dependent on employment status and pay class (full-time, part-time, or PRN). Specific details will be provided during the hiring process. Upstream Rehabilitation is an Equal Opportunity Employer that strives to provide an inclusive work environment where our differences are celebrated for the value they bring to our communities, our patients and our teammates. Upstream Rehabilitation does not discriminate on the basis of race, color, national origin, religion, gender (including pregnancy), sexual orientation, age, disability, veteran status, or other status protected under applicable law.

Location: Dallas Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking to hire a Deal Operations Analyst to support Harvey AI’s growing global sales organization. This role sits at the center of quote-to-cash execution, partnering closely with Sales, Deal Desk, Finance, and Legal to ensure deals are accurately structured, approved, and closed. This is a hands-on operational role for someone who enjoys being close to the deal flow, solving process issues in real time, and helping scale systems and workflows as the business grows. WHAT YOU'LL DO - Review, validate, and process customer orders to ensure accuracy, compliance with pricing and contracting policies, and readiness for booking and billing - Support Sales reps with Salesforce (SFDC) opportunity management, quoting workflows, and deal hygiene - Manage and triage a Deal Operations ticketing queue, ensuring timely responses and clear communication with stakeholders - Act as a frontline support resource for SFDC and CPQ-related questions from Sales - Assist with CRM and CPQ enhancements, including: - gathering and drafting business requirements - supporting user acceptance testing (UAT) and QA - helping roll out new workflows, fields, or guardrails - Contribute to sales and deal desk enablement, including documentation, process guides, and training support - Identify recurring issues or inefficiencies in quote-to-cash processes and surface recommendations for improvement WHAT YOU HAVE - 2-4+ years of experience in Sales Operations, Deal/Order Operations, Revenue Operations, or Order Management - Strong attention to detail and comfort working with complex deal structures - Working knowledge of Salesforce (SFDC) as a CRM, including opportunity and quoting workflows - Exposure to CPQ tools (e.g., Salesforce CPQ, DealHub, Ironclad CLM, or similar), with a basic understanding of how pricing and approvals are operationalized - Experience managing or working within a ticketing or queue-based support model (e.g., Zendesk, Jira, Salesforce cases, or similar) - Prior involvement in CRM/CPQ projects or enhancements, such as documenting requirements, participating in testing, or supporting system rollouts - Ability to communicate clearly with Sales, Finance, Legal, and Operations stakeholders - Comfortable operating in a fast-paced, evolving environment where processes are still being defined COMPENSATION $108,300 - $148,950 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-TM1 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: Chicago Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking to hire a Deal Operations Analyst to support Harvey AI’s growing global sales organization. This role sits at the center of quote-to-cash execution, partnering closely with Sales, Deal Desk, Finance, and Legal to ensure deals are accurately structured, approved, and closed. This is a hands-on operational role for someone who enjoys being close to the deal flow, solving process issues in real time, and helping scale systems and workflows as the business grows. WHAT YOU'LL DO - Review, validate, and process customer orders to ensure accuracy, compliance with pricing and contracting policies, and readiness for booking and billing - Support Sales reps with Salesforce (SFDC) opportunity management, quoting workflows, and deal hygiene - Manage and triage a Deal Operations ticketing queue, ensuring timely responses and clear communication with stakeholders - Act as a frontline support resource for SFDC and CPQ-related questions from Sales - Assist with CRM and CPQ enhancements, including: - gathering and drafting business requirements - supporting user acceptance testing (UAT) and QA - helping roll out new workflows, fields, or guardrails - Contribute to sales and deal desk enablement, including documentation, process guides, and training support - Identify recurring issues or inefficiencies in quote-to-cash processes and surface recommendations for improvement WHAT YOU HAVE - 2-4+ years of experience in Sales Operations, Deal/Order Operations, Revenue Operations, or Order Management - Strong attention to detail and comfort working with complex deal structures - Working knowledge of Salesforce (SFDC) as a CRM, including opportunity and quoting workflows - Exposure to CPQ tools (e.g., Salesforce CPQ, DealHub, Ironclad CLM, or similar), with a basic understanding of how pricing and approvals are operationalized - Experience managing or working within a ticketing or queue-based support model (e.g., Zendesk, Jira, Salesforce cases, or similar) - Prior involvement in CRM/CPQ projects or enhancements, such as documenting requirements, participating in testing, or supporting system rollouts - Ability to communicate clearly with Sales, Finance, Legal, and Operations stakeholders - Comfortable operating in a fast-paced, evolving environment where processes are still being defined COMPENSATION $108,300 - $148,950 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-TM1 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: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is rapidly building the leading ecosystem of generative models, bringing the best models from AI labs around the world to our users alongside our own. We are looking for an IC to source, activate, and scale relationships across Runway's growing portfolio of model partners. This is a role for someone who wants to own whatever needs owning, take new models from first conversation to launch, and write the playbook where none exists yet. You will work closely across Engineering, Product, Legal, Finance, and Marketing. WHAT YOU'LL DO - Own a broad portfolio of model partners end to end, across modalities - Track the model landscape relentlessly: spot new labs and releases early and bring the strongest ones to the team as candidates for integration - Take new partners from zero to launched: source, structure and negotiate commercial terms, then close with Legal and Finance - Be the partner's main point of contact through launch, working closely with our engineering team - Build deep, trusted relationships with founders, BD leads and research teams at our partners, and turn those relationships into early access, better terms and joint launches - Run the portfolio with rigor: set check-in cadences, monitor relationship health, and spot and escalate risk early - Track usage, spend and margin by partner and model, and use that data to decide where to invest, renegotiate or step back - Partner with Marketing and our partners on co-marketing for model launches - Build the frameworks and tools that let the function scale as the ecosystem grows WHAT YOU'LL NEED - 5+ years of experience across some combination of partnerships, business development, GTM, consulting, or founding/operating, with a track record of having owned outcomes end to end - Experience negotiating commercial agreements, ideally usage-based, API or platform deals - Genuine obsession with generative AI: you know the labs, you try new models the day they ship, and you have opinions on what makes one good - Demonstrated range: you've done the deal and the integration and the launch - High technical aptitude for understanding complex technologies, tools, systems, and issues - Strong analytical capabilities, with the ability to turn usage and spend data into a clear recommendation - Ability to manage many relationships and priorities at once in a fast-paced environment without dropping threads - Clear, concise communication, from a startup founder to a big-lab partnerships team to a Runway engineer in the same day - A strong bias towards action and belief that no task is too small for you - Highly resourceful, with the ability to create structure and work autonomously amid ambiguity - New York-based preferred Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York 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 seeking a highly resourceful, detail-oriented, and execution-focused Program Manager to drive a broad portfolio of Customer Engagement initiatives spanning events, executive engagement, loyalty programs, and strategic projects. This is a highly cross-functional role for someone who thrives in fast-moving environments, can flex across multiple priorities, and enjoys turning ambitious ideas into well-executed programs. You’ll partner closely with Marketing, Sales, Customer Success, and external stakeholders to drive projects from initial concept through planning, execution, and delivery. The ideal candidate is an exceptional project manager and strong customer marketing generalist who brings structure to ambiguity, navigates complex stakeholder relationships, and takes genuine ownership of outcomes. Someone who is meticulous about the details, anticipates what needs to happen next, and can confidently drive multiple projects forward without losing sight of the bigger picture. WHAT YOU'LL DO Program Management & Cross-Functional Execution - Own end-to-end delivery of multiple concurrent initiatives, translating strategic objectives into detailed project plans with clear milestones, owners, timelines, dependencies, and deliverables. - Drive alignment and accountability across cross-functional stakeholders, proactively managing competing priorities, identifying risks, resolving blockers, and ensuring nothing falls through the cracks. - Lead projects, tracking, and documentation across the broader team, often building the operational framework for initiatives without an existing playbook. Customer Marketing & Experiences - Lead planning and execution of customer-facing programs, activations, and strategic partnerships. - Help develop, launch, and operationalize new customer loyalty, recognition, gifting, and engagement initiatives. - Manage program logistics, budgets, vendors, external partners, and production to deliver high-quality experiences. Strategic Initiatives & Program Operations - Drive execution of research and thought leadership initiatives, coordinating internal teams, external partners, timelines, and deliverables. - Own internal customer engagement initiatives, including customer participation in advocacy activities. - Establish scalable project management processes, trackers, workflows, and reporting to improve visibility, accountability, and operational efficiency as the function grows. QUALIFICATIONS - 5–8+ years of experience in customer marketing, program management, experiential marketing, strategic operations, or related roles, ideally at a high-growth SaaS or technology company. - Exceptional project management and organizational skills, with demonstrated ability to independently own and deliver complex, multi-stakeholder initiatives from inception through completion. - Strong cross-functional leadership and stakeholder management skills, with the ability to influence without direct authority and work effectively with senior internal and external stakeholders. - High ownership, sound judgment, and a bias toward action. You anticipate challenges, proactively solve problems, and can be trusted to drive projects forward with minimal oversight. - Familiarity with tools such as Notion, Asana, Airtable, or similar project management platforms. COMPENSATION $136,000 - $187,000 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-LR1 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 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 The Business Development team at Harvey is responsible for enabling step-change outcomes, working in lock-step with go-to-market and product leadership. We rapidly adapt to the changing market environment, unlock new product experiences, and deliver new business. As a member of this team, you will help us build differentiated product offerings and scalable go-to-market motions. This role owns the legal research side of that work. You will source, evaluate, and negotiate access to the legal research content our products are built on and connected to, across both primary and secondary sources. You will quarterback these deals from identification and evaluation through negotiation and product integration. Legal content is a difficult market to work in. Rights are fragmented, licensing terms are idiosyncratic. We are looking for someone who already understands that terrain, either because they practiced and relied on these materials every day, or because they sat on the other side of the table building and licensing them. You will work closely with senior stakeholders across product, engineering, finance, legal, and go-to-market functions to drive strategic initiatives and ensure successful partnership outcomes. Your ability to articulate the value of Harvey's product and sales strategy, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Develop and execute a strategic plan for legal content and data partnerships, aligned with Harvey's overall product and GTM strategy. - Independently identify, evaluate, and establish a range of partnerships with legal content and data providers. - Assess corpora on the merits: jurisdictional coverage, historical depth, update cadence, editorial enhancements, metadata quality, and what rights actually come with the data. - Negotiate complex licensing agreements, ensuring mutually beneficial terms and alignment with company goals. - Conduct quantitative analysis, create business cases, and present them to executives. - Collaborate closely with product, engineering, finance, legal and GTM teams to oversee the successful integration of new content sources into the product. - Build and nurture strong long-term relationships with key partners, ensuring mutual success and achievement of partnership goals and business objectives. - Operate autonomously, being both a proactive executor and strategic thinker at Harvey pace. WHAT YOU HAVE - You practiced law in the United States, or you helped build the tools lawyers practice with. We have a strong preference for litigators who have real fluency in the legal research corpus. Experience working in business development, product, or corporate development is a strong plus. - Proven ability to develop executive relationships, negotiate complex contracts, and problem-solve with external partners to drive distribution in new markets. - Experience collaborating with product teams to develop and distribute new technology solutions. - Team player who can collaborate effectively across internal functions (Product, Legal, GTM, etc.) to achieve common goals. - Demonstrated passion for Harvey's mission and a strong understanding of AI and its potential applications in knowledge work. - Comfort with ambiguity and the ability to thrive in a fast-paced, evolving environment. - Excellent communication and interpersonal skills—can influence without authority and drive urgency with empathy. COMPENSATION $240,000 - $260,000 USD OTE 70/30 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-TA1 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 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 The Business Development team leads Harvey's partnerships with the cloud hyperscalers, frontier AI labs, inference providers, data suppliers, and emerging open source ecosystem. These are multi-dimensional relationships: the same companies we build with are also the ones we build on and go to market alongside. Our work spans commercial deal structuring, co-selling, co-development, and co-marketing, working cross-functionally with Finance, Research, Product, Sales, Marketing, and other teams across the company. As a member of the Cloud & AI team, you will help drive strategic partner initiatives and engagement ranging from new model releases and product launch announcements to commercial agreements and co-marketing campaigns, and own the tactical execution that follows: activating commercial marketplaces, unlocking channel GTM opportunities, accelerating field enablement, and supporting day-to-day requests. It is a unique opportunity that gives you a front row seat to how fast-growing AI companies work together to drive mutual growth. This is a zero to one builder role on a team that will grow alongside the partner portfolio. You will be tasked with working across a wide range of programs and initiatives, including standing up new operational processes and ongoing partner reporting. Much of what this role touches does not have a defined playbook yet. The ideal candidate is a strong operator who can bring structure to complex partnerships, move comfortably between strategic work and hands-on execution, and build programs that scale as the team grows. WHAT YOU'LL DO PARTNER RELATIONSHIP & COMMERCIAL MANAGEMENT - Serve as a go-to resource for multiple cloud, frontier lab, and inference & data partners, and act as a consistent point of contact across internal and external teams - Run regular partner business reviews and joint planning sessions, including quarterly goal setting and executive involvement - Support commercial negotiations, including business case development and deal structuring, working closely with Finance, Product, and Research through to signature - Track partner activity, program performance, and progress against joint plans, and provide clear updates to stakeholders JOINT GO-TO-MARKET & CO-SELLING - Run the co-sell motion with select partners: drive partner-sourced and partner-influenced revenue by designing plays that build momentum with field teams (account mapping, deal registration, pipeline reviews, and alignment with Harvey's sales org) - Activate and operate Harvey's presence on commercial cloud marketplaces, including listings, private offers, and the operational workflows behind them - Support Harvey's sales team on individual partner-supported opportunities by bringing in the right partner contacts, unlocking partner resources, and clearing blockers - Build enablement materials for both sides: partner-facing Harvey narratives, and internal guides on how to sell with each partner CO-DEVELOPMENT & CO-MARKETING - Coordinate joint technical programs with partners, connecting Harvey's Research and Product teams with their counterparts and keeping feedback moving in both directions - Support product launch co-announcements, lining up timing, messaging, and approvals across Harvey Marketing and partner communications teams - Launch joint marketing programs with partners: case studies, webinars, events, and co-branded content - Maximize Harvey's standing in partner programs to unlock funding, technical resources, and go-to-market support BUILDING THE FUNCTION - Contribute to the operational foundation of the team, including portfolio tracking, partner plans, pipeline reporting, and regular reporting cadences with leadership - Develop repeatable processes and internal frameworks for how partnerships are evaluated, launched, and reviewed, so that programs stay scalable as the team grows - Keep internal teams across Sales, Product, Research, Marketing, and Finance current on partner activity through regular updates and business reviews - Take on new scope as the partner portfolio and the team expand over time WHAT YOU HAVE - 5+ years of professional experience in partnerships, alliances, sales, business development or corporate development, ideally at a high-growth company where programs were in their infancy and the partner motion was still being built - Experience structuring or managing complex alliances or partnerships, including commercial negotiations - Experience or knowledge of commercial marketplaces, including listings, private offers, and deal transaction mechanics - Track record of sourcing or influencing revenue through partner channels, ideally with ownership of a pipeline or revenue target - Experience across co-selling, co-marketing, and co-development, with a feel for the nuanced dynamics of partners who are suppliers, channels, and product enablers - Understanding of the AI ecosystem: the major cloud providers and frontier labs, how models are served and priced, and the emerging players across each market - Strong program management skills, including the ability to manage multiple workstreams, establish clear owners and timelines, and lead initial ideation through execution - Excellent written and verbal communication skills with the ability to synthesize complex information and communicate clear recommendations to executives - Comfort with ambiguity and a bias toward building when there's no existing process to follow, and the ability to influence without authority across teams COMPENSATION $200,000 - $275,000 USD OTE 70/30 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-TA1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 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-AN2 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 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 transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 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-AN2 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

About the Company and the Role Welltory is one of the world’s most popular health monitoring apps, with 17 million downloads across 130 countries. We combine biometrics, science, AI and design to help people understand their health and well-being. ▸ Named to the Inc. 5000 (2026) , the list of America’s fastest-growing companies ▸ Featured in Forbes, The Times, Tom’s Guide and Real Simple ▸ Cited in peer-reviewed research, including a Wiley journal and a PMC publication naming Welltory a reliable app for HRV-based stress assessment ▸ Semifinalist of the Digital Health & AI Awards We see support not just as a service channel, but as a product growth engine. We use AI to automate tasks, scale communication, and improve user satisfaction. And now, we’re looking for people who want to build the future of support with us. In our app, support is not just about fast replies — it's a way to help users make sense of their health and truly experience the value of our product. We’re looking for an Customer Experience Manager — someone who enjoys working with user requests, helping people understand complex data, testing AI-powered solutions, and improving user experience. What We’re Looking For 3+ years of experience in customer support, customer success, or operations — ideally in tech products where user experience and metrics matter Ability to handle technical requests — from bugs to subscriptions and data source syncing Hands-on experience with AI tools, LLMs, and automation Comfortable working with product, engineering, and AI teams Excellent English skills — both written and verbal — and the ability to write clear, informative messages Solid grasp of user psychology and a knack for solving complex cases Ability to break down complex topics into plain, user-friendly language Tech-savviness and curiosity — you enjoy figuring things out Interest in wearables and health data (HRV, sleep, stress) — you’ll explain what users’ numbers mean and dig into interesting complex issues. Comfortable with data: Amplitude/Metabase dashboards, basic SQL or Python, working with APIs. What You’ll Do Help users via Intercom, email, app stores, and social media Handle user requests related to subscriptions, data syncing, integrations, and more Work hands-on with Megan, our AI support agent that already resolves over 60% conversations, review and rate its answers, test new prompts and pipelines, and find where it fails. Automate workflows using no-code tools like n8n Improve key support metrics — reduce churn and refunds, speed up resolution time, and boost response quality Handle sensitive conversations with care: users with chronic conditions, health anxiety, and privacy/data-deletion requests (GDPR). Our Stack We love automation and lean on AI tools to scale. You don’t need to know all of them — what matters is your ability to learn quickly. Intercom ChatGPT, Claude Notion, Confluence Slack Asana Figma Amplitude, Metabase What We Offer Flexible hours & a high-trust culture — we care about results, not clock time Competitive salary, performance-based bonuses, and stock options Access to a therapist & employee support program Health insurance Support for personal learning and development Unlimited vacation policy Culture of openness, honesty, and high standards How to Apply Click Apply for this job and send your application. What happens next: You’ll get an email with a 30‑minute questionnaire to share your contact details, resume link, and experience. We review every application and will get back to you either way. If we’re a good match, the next steps are: Test assignment Culture Fit interview with HR Technical interview with the hiring manager We’re building AI-first support — at the intersection of communication and technology. Our approach helps people around the world better understand their health, feel genuinely cared for, and see real value in what we build. Does this sound like you? Send us a message — we read every application and will get back to you.

Location: Canada About the Role You will be the person who makes our AI better at selling. You will read its conversations, notice what is working and what is not, and change the instructions it follows so the next thousand conversations go better. You do not need to know everything on day one. We will teach you our tools, our playbooks and how to write and test prompts. What we cannot teach is the instinct for conversations, a feel for sales, and the curiosity to dig into the data and ask why. What You'll Do Review AI-drafted text messages each day, and approve, edit or rewrite them before they send. Spot patterns across conversations, such as an opener that gets replies but no orders, and figure out the cause. Update each brand's prompts and playbook to fix problems at the source, then test the change before it goes live. Respond to brand requests and turn them into playbook updates. Help launch new brands: deep research on their brand, write the persona and opening messages, and check that offers work. Run and track A/B tests, and report what won. Requirements You read people well. From one text you can tell whether a shopper is ready to buy, has a question, or is done, and you reply the way a real person would. You have sales instinct. You answer an objection and then ask for the sale, without arguing or pushing the customer away. You are curious about data. You can open a table of conversations and ask the right questions: how many, compared to what, at which brand, since when. You notice when a number looks off and go find out why. You fix the cause, not the symptom. When the AI says something wrong, you look for the reason (a missing fact, a vague rule, two rules that conflict) and fix the instruction so it does not happen again. You are comfortable with AI tools. You use ChatGPT, Claude or similar tools regularly and understand that how you ask shapes what you get back. You are online. These are live conversations. You are responsive during working hours and quick to pick things up in Slack. You learn fast and like feedback. You pick up new tools quickly and want to get better each week. Nice to Have Experience in sales (SDR, BDR, retail or any role with a close rate), customer support, or live chat. Experience at a DTC brand or ecommerce agency. Familiarity with Shopify, Klaviyo, Postscript or similar tools. Spreadsheet skills, or basic SQL. Something you have built or automated with AI on your own. What We'll Teach You Our console, approval queue and playbook system. How to write, test and ship prompt changes. Shopify basics, discount codes and how they combine. How we run and read A/B tests.

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 seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation 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: $345,000 — $425,000 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: United States; Germany; The Netherlands Workplace: Remote PROGRAM OVERVIEW The ClickHouse PhD Research Internship Program offers doctoral students the opportunity to pursue ambitious research alongside ClickHouse Labs researchers and engineers working on some of the most interesting challenges in databases, systems, and data infrastructure. Research interns join ClickHouse Labs for approximately 10-12 weeks to explore meaningful research questions, develop new ideas, and investigate technologies that have the potential to advance both the broader research community and the future of ClickHouse. The program is intentionally designed around research collaboration. Interns are paired with experienced researchers and have the opportunity to pursue work that aligns with their academic interests, ongoing research, and areas of interest within ClickHouse Labs. In some cases, an internship may build on research, a prototype, or a system the student has already begun exploring at their university. We believe the strongest research relationships extend beyond a single summer. Interns may continue their work after returning to their university through academic research, open-source contributions, publications, or other forms of collaboration. Where there is a strong mutual fit, an internship may become the beginning of a longer-term relationship between the researcher, ClickHouse Labs, and the broader academic community. During their internship, researchers will have the opportunity to work closely with ClickHouse Labs, engage with ClickHouse's open-source technology and engineering community, share their findings, and contribute to the intellectual life of the broader research community. Program length: 10-12 weeks, with flexibility based on academic calendars and research needs Typical timing: Summer, beginning approximately June 1 Locations: Opportunities available across the US and Europe, subject to role and employment requirements. Remote first. Research environment: ClickHouse Labs Internship format: Research-focused, mentor-supported, and shaped around areas of mutual research interest Compensation: commensurate with experience, a monthly stipend will be paid RESEARCH AT CLICKHOUSE LABS ClickHouse Labs explores ambitious ideas at the intersection of databases, distributed systems, data infrastructure, and the broader systems research community. We believe some of the most interesting advances in these areas happen through close collaboration between industry and academia. ClickHouse Labs brings together researchers and engineers to explore new ideas, investigate challenging technical problems, and connect academic research with real-world systems at scale. Research interns are an important part of that community. Interns have the opportunity to bring their own research interests and perspectives into ClickHouse Labs while working alongside researchers and engineers who are deeply engaged with both the practical challenges and open research questions shaping the future of data systems. PROGRAM GOALS 1. Identify exceptional PhD researchers working in areas directly relevant to ClickHouse. 2. Give researchers the opportunity to work on meaningful, open-ended problems with ClickHouse Labs. 3. Build long-term relationships with researchers and academic institutions. 4. Encourage continued research and open-source contributions after the internship. 5. Create opportunities for co-authored papers, thesis advising, or other academic collaboration. 6. Increase ClickHouse's visibility within the database and systems research community. 7. Publish and share meaningful research outcomes through the ClickHouse website and other appropriate channels. WHAT MAKES THE PROGRAM DIFFERENT This is intentionally not a highly structured engineering internship and should not detailed planning. ****But the high-level problem area and expectations should defined several months before the internship begins. This flexibility is intentional and allows ClickHouse Labs to respond to: - Emerging research questions - Current ClickHouse priorities - New academic research - Interesting systems or database prototypes - Work candidates have already completed - Opportunities to apply new research ideas to ClickHouse The goal is to identify researchers whose work is already closely aligned with areas ClickHouse cares about and then determine the most valuable research problem to pursue together. CANDIDATE PROFILE We are looking for exceptional PhD students conducting research directly relevant to ClickHouse and the broader database/systems space. IDEAL CANDIDATES - Currently pursuing a PhD in computer science or a closely related field - Conducting research in areas relevant to ClickHouse - Demonstrated research excellence - Strong database systems, distributed systems, hardware, or related technical background - Has demonstrated ability to independently pursue complex research questions - Ideally has prior experience with ClickHouse open source but not required**.** - Has research, prototypes, or publications that could translate into meaningful work with ClickHouse - Interested in continuing research beyond the internship - Potential interest in open-source contribution and academic collaboration CANDIDATE SELECTION PHILOSOPHY The strongest candidates will be researchers whose work is specifically relevant to what ClickHouse Labs wants to explore. A candidate who has already: - Worked with ClickHouse - Built a relevant database or systems prototype - Published research in an area relevant to ClickHouse - Explored a technical problem ClickHouse is interested in may be significantly more valuable than a candidate with an otherwise impressive academic profile but no meaningful connection to our research areas. RESEARCH AREAS & PROJECT SCOPE Unlike an engineering internship program, specific projects do not need to be defined when recruiting begins. Research projects may emerge from: - A candidate's existing research - A recent academic paper - A prototype or system the candidate has developed - An emerging ClickHouse Labs research priority - An opportunity to test or extend an existing research concept within ClickHouse IF THIS IS RELEVANT AND EXCITING TO YOU, PLEASE APPLY! PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 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 Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes 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: $285,000 — $350,000 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: Dublin, Ireland About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Employer: Workato Hibernia Limited Location: 1 Grant's Row, Lower Mount Street, Dublin 2, Ireland Annual Salary: €50,000 Working Hours: 40 hours per week About the Role An excellent job for someone who is a natural salesperson wanting to learn more about tech sales - work with some of the top sales execs who previously worked at places like MongoDB, Microsoft, UiPath, Salesforce (MuleSoft) and Qualtrics. Workato is looking for talented and highly motivated, results-oriented individuals to join our expanding Enterprise sales team. In this role, you will be able to demonstrate a successful track record in remotely managing a large diverse territory of strategic accounts . You will be comfortable embracing a start-up environment where personal performance is critical and a do what it takes attitude, and entrepreneurial spirit, is celebrated . You will have the flexibility and determination to participate in any activity to ensure success as Workato’s Enterprise mission scales. Key Responsibilities Generate qualified meetings through outbound prospecting via phone, email, LinkedIn, and video outreach. Build and maintain a pipeline of opportunities within strategic enterprise accounts. Research target organizations and identify key decisionmakers and stakeholders. Partner with Account Executives to develop account strategies and execute targeted campaigns. Qualify opportunities using established sales methodologies, including MEDDPICC. Understand customer business priorities and effectively communicate the value of Workato's solutions. Achieve activity, pipeline, and opportunity generation targets. Qualifications 1+ years of SDR, BDR, or sales development experience, preferably within a SaaS environment. Proven track record of meeting or exceeding sales targets. Experience with sales qualification frameworks such as MEDDPICC, Sandler, or Force Management. Familiarity with account-based selling and enterprise prospecting. Experience using CRM and sales engagement tools such as Salesforce, Outreach, Sales Navigator, or similar platforms. Strong communication, research, and relationship-building skills. Excellent business acumen with the ability to connect business challenges to technology solutions. Self-motivated, adaptable, and comfortable in a fast-paced, high-growth environment. Collaborative team player with a customer-first mindset.

Location: Herriman, UT Pay: $22.00 - $24.00 per hour Part time afternoon hours! Immediate work available! Job description: We here at ABA Achievers are on the hunt for a dynamic, enthusiastic, and driven Registered Behavior Technician (RBT) to become an integral part of our mission-driven clinical team. If you have a passion for helping children with autism and developmental disabilities reach their full potential, we want you. Responsibilities: Implement ABA therapy programs under BCBA supervision across home or school settings Collect accurate session data and enter documentation into Rethink within 24 hours of each session Maintain consistent fidelity to individualized behavior intervention plans (BIPs)process and report observations to supervising BCBA Skills: Participate in the 7-day and 30-day new hire check-in Maintain professional communication with families Minimum 6 months of hands-on experience working with children with developmental disabilities Current RBT certification Experience with ABA data collection and session documentation supporting the autism community Benefits: Strong communication and interpersonal skills Patience, creativity, and genuine passion for Flexible scheduling options Professional development assistance and RBT certification support Opportunities for advancement to BCBA supervision track User-friendly Rethink app provided for easy session tracking and note-taking Supportive and mission-driven clinical team What sets you apart? Your dedication to helping, educating, and supporting the autistic community is evident in everything you do. You bring energy, creativity, and consistency to every session. You thrive in dynamic environments where two days are rarely the same, and your communication skills make families feel informed and supported. You're not just a technician, you're a champion for every child on your caseload www.abaachievers.com

Location: San Francisco 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 redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead a team of engineers building the horizontal systems that make Harvey’s AI products higher quality, faster, and more cost-efficient. This includes eval and simulation infrastructure, model routing, open-source and post-trained model serving, new-model rollouts, and the document processing systems (OCR, embeddings, retrieval, and citations) that turn any file a lawyer gives us into something Harvey can read, find, and cite. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities. You will also set the technical direction for how teams across Harvey build, test, and ship AI features. This role is equal parts technical depth and product intuition. You’ll be trusted to make fast, high-quality decisions, work at the cutting edge of applied AI, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you. WHAT YOU'LL DO - Lead and grow a team of engineers building the core AI platform that powers Harvey’s products - Define the roadmap for shared AI infrastructure, including model routing, open-source and post-trained model serving, eval and simulation infrastructure, and large-scale document processing, embeddings, retrieval, search and citation systems - Partner with Product, Research, Agent Platform, and product engineering teams to understand their needs and turn recurring patterns into reusable, well-documented platform primitives - Build and scale offline eval and simulation infrastructure so teams can measure quality, catch regressions, and ship AI changes with confidence - Drive reliability, latency, cost efficiency, and security across LLM-powered systems, including working with commercial and open-source model providers on capacity, rate limits, and new capabilities - Evaluate and rapidly adopt new models, frameworks, and techniques, and decide what to build, buy, or adopt - Contribute to code and architecture reviews, unblock teams, and lead by example when needed - Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment WHAT YOU HAVE - 2+ years of experience in a tech-lead/software engineering management role leading ML/AI engineering teams, preferably in high-growth environments - 5+ years of experience as a backend, infrastructure or ML/AI engineer - A track record of leading high-performing, engaged engineering teams - Experience building and operating production systems powered by LLMs (for example agents, retrieval, tool use, or evaluation pipelines) - Experience building internal platforms or shared services that other engineering teams depend on, and partnering with cross-functional stakeholders to prioritize them - Strong backend engineering skills in modern languages and framework and familiarity with distributed systems concepts - Sound judgment on tradeoffs among quality, latency, cost, and speed of delivery in AI systems - A plus: Experience with open-source model inference and serving, large-scale document processing, search, and retrieval systems, LLM observability and eval tooling, or working directly with foundation model providers COMPENSATION $272,000 - $355,000 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-AP1 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