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Location: New York Workplace: Hybrid LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? ABOUT THE ROLE: We are seeking a highly analytical, results-driven Senior FP&A Analyst to join our Corporate FP&A team. This role sits at the intersection of financial planning, investor relations analytics, and strategic finance, with direct exposure to M&A evaluation, capital markets communications, and top-line performance modeling for a public SaaS company. You will work closely with senior leadership and the CFO's office to shape how the company communicates its financial story to the Street, the Board, and prospective transaction counterparties. WHAT YOU WILL DO AT UIPATH: • Help design and maintain a long-term financial model projecting UiPath's future fiscal year top-line metrics, including ARR movements such as new business, expansion, contraction, and churn, with sensitivity analysis suitable for board and investor scenarios. • Build and refine SaaS valuation and benchmarking frameworks (ARR growth, NRR/DBNRR, Rule of 40, magic number, CAC/LTV) to support investor relations messaging and peer comparisons against public SaaS and enterprise software comparables. • Support M&A activity including target screening, financial due diligence, accretion/dilution and synergy modeling, and integration of acquired ARR and revenue streams into consolidated top-line forecasts. • Create and implement innovative forecasting methodologies across a variety of top- line models, adaptable to inorganic growth scenarios and changes in business mix. • Analyze KPIs related to product and sales performance, developing new analyses to assess business health and translate operating metrics into the language used by equity analysts and institutional investors. • Prepare board decks, earnings materials, and investor relations presentations, working with IR and the CFO to ensure numbers translate cleanly into external narrative on a monthly and quarterly cadence. • Own quality assurance on all board-level and external financial communications, ensuring consistency between internal models, public disclosures, and any transaction-related materials. • Partner cross-functionally with Corporate Development, Treasury, and Legal on deal-related financial analysis as M&A opportunities arise. WHAT YOU WILL BRING TO THE TEAM: • Bachelor's degree in Finance, Accounting, Business, Economics, or related field; 2- 4 years of relevant experience in FP&A, investment banking, equity research, corporate development, or transaction advisory. • Strong financial modeling skills, including exposure to SaaS metrics (ARR, NRR/DBNRR, billings, FCF) and M&A analysis (valuation, accretion/dilution, synergy modeling) a plus. • Mastery of MS Office (Excel, PowerPoint), with demonstrated ability to build complex, audit-ready financial models under tight deadlines. • Strong written and oral communication skills, with the ability to translate quantitative analysis into clear, board- and investor-ready narrative. • Organized, analytical, motivated, curious, resourceful, flexible, and collaborative, with the judgment to handle market-sensitive and confidential information. • A self-starter with a proactive attitude who seeks out opportunities for themselves and the team. • Strong project and time management skills, comfortable operating in a fast-paced, deadline-driven, publicly-traded company environment. #LI-BS1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As our GTM Compensation Lead on Commercial Operations, you’ll own commissions strategy, design, and execution for GTM. This is an opportunity to evolve how GTM Comp supports a growing GTM org through Notion’s AI-era selling motion and Enterprise growth. You’ll set the incentive systems that shape how our sellers focus, partner, and grow with customers. On a typical week, you’ll work with senior GTM leaders — including the Head of Sales and geo leaders — to translate business priorities into clear, accurate, scalable comp programs. WHAT YOU'LL ACHIEVE: - By your 90th day, map the current GTM Comp operating model and publish a roadmap for evolving the function as GTM grows. - Introduce AI quick wins that improve the quality of work: triage inbound questions, help reps estimate payouts, flag discrepancies across systems, and automate reminders tied to the comp calendar. - Build a planning-cycle framework that makes design inputs, trade-offs, decision rights, and timelines clear across GTM, Finance, and Commercial Operations. - Provide board-level updates, including clear reporting on plan health, payout accuracy, systems quality, and key design decisions. SKILLS YOU'LL NEED TO BRING: - Demonstrated judgment balancing Finance discipline with GTM effectiveness — you can protect accuracy and controls while designing plans that support the selling motion. - Strong financial modeling and data fluency, with the ability to translate complex plan mechanics into clear analysis, recommendations, and executive-ready narratives. - Experience leading transformative operational projects from design through rollout, especially where cross-functional alignment and change management matter. - Track record of building and maintaining sustainable quarterly operating cadences, including clear calendars, communications frameworks, and repeatable review moments. Ideally you have managed this process at a public company. - AI-fluent operating style: you use AI to improve decision quality, automate manual checks, identify data discrepancies, and build tools or workflows that make teams more self-serve. - Familiarity with Everstage a plus! Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $230,000 - $257,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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 Anthropic is seeking a Director, Investments & Liquidity to join our Treasury team. This is a foundational role on a quickly growing Treasury team. As we experience exponential growth, you will be instrumental in ensuring optimal capital allocation, protecting our financial assets, and establishing the policies and infrastructure needed to support our expanding global operations. The work spans strategy and execution: owning the capital planning framework and investment policy, standing up in-house trading infrastructure, and overseeing external managers. Reporting to the Head of Investments & Markets, you will partner closely with teams across Finance, Legal, and Accounting to achieve these objectives. You will build AI-native investment workflows: apply AI tools to portfolio analytics, manager and counterparty monitoring, IPS compliance, interest income forecasting, and executive reporting, partnering with Finance, Engineering, Data, and FinSys, with controls, documentation, and auditability built in. Key responsibilities Own and optimize Anthropic's external investment program, including money market funds, bank deposits,and separately managed accounts Monitor external manager performance and maintain a manager bench with clear performance reporting Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity Develop and operationalize a capital planning framework across operating and strategic liquidity tiers Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls Build CFO-ready management reporting covering portfolio performance, policy compliance, and risk exposures Minimum qualifications Deep expertise in corporate cash investment strategy, developed in Treasury, corporate finance, or fixed income portfolio management Experience with an in-house investment program, including direct fixed income trading Hands-on experience with SMAs, investment policy design, capital allocation frameworks, and external manager oversight Experience developing and implementing Treasury policies and SOX-ready controls Demonstrated operational readiness at scale, with comfort being personally accountable for large, time-sensitive cash movements Familiarity with the Investment Company Act of 1940 and relevant exemptions Preferred qualifications 10+ years of relevant experience in Treasury, corporate finance, or fixed income portfolio management Experience in a high-growth technology environment Experience standing up in-house trading capability and trade infrastructure, including order management systems and custodian connectivity Familiarity with integrating cash forecasting into investment laddering FX/derivative trading experience to act as back up trader for risk team CFA charter 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: $230,000 — $300,000 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: Mountain View, CA Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Road Supervisor , you will supervise driver performance, train drivers, support riders, de-escalate conflicts, and manage incidents when they occur. You may also work as a driver operator when needed, leading by example, and ensuring excellent customer service for our riders. You may also serve as a protection driver, operating a vehicle as needed to support service coverage, lead by example, and ensure excellent customer service for our riders. This is a full-time, in-person, shift-based position requiring approximately 40–45 hours per week (8–9 hour shifts) in-person based out of our Mountain View location. While standard schedules are provided, this role does require flexibility to work occasional evenings, Saturdays, and extended hours as business needs arise. What You'll Do: Conduct regular performance evaluations of drivers, providing feedback and coaching to improve service quality and efficiency. Develop and implement training programs for new hires and ongoing training for existing drivers. Handle customer service issues, resolving complaints and making decisions to promote passenger satisfaction. Prioritize operational issues as the real-time point of contact and implement creative solutions to solve problems as they arise Go to the scene of accidents and incidents to manage processes and protocols Diligently work collaboratively with a broad interdisciplinary team to scale operational processes, systems, and tools to drive rapid growth Safely and courteously, operate lift-equipped vehicles to transport elderly and/or persons with disabilities Learn the fundamentals of Via operations and related safety procedures Perform the routine operation of vehicles, including pre- and post-shift inspections Who You Are: Minimum of 3+ years’ experience in transportation services or comparable industry, with at least 1 year in a supervisory role. High school diploma or equivalent; higher education or certifications in transportation, logistics, or related field preferred. At least 25 years old Hold a valid California Class B Commercial Driver’s License (CDL) with Passenger Endorsement, current medical certification, and no restrictions preventing the operation of the company’s Grech , Freightliner, or Van Hool Motorcoaches, including air-brake equipped vehicles. Must maintain a driving record that meets company and insurance requirements.. An effective communicator and holds excellent interpersonal skills, with an ability to handle stressful situations diplomatically. Proficient in using a tablet and standard office software (e.g., Google Suite). Possess good knowledge of the city and community of Mountain View. Are able to operate a wheelchair accessible vehicle within standard safety guidelines to ensure public safety Able to deal effectively and courteously with all customers and the public Ability to work flexible hours, including evenings and weekends, as required. Successful completion of a drug test, criminal background check, and motor vehicle records check is mandatory for employment. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary range: $39-42 / hour Hours/Shifts: Split shifts: 6:00am - 11:00am and 3:00pm - 6:00pm We are proud to offer a generous and comprehensive benefits package, including health and retirement benefits. Ready to join the ride? Via is an equal opportunity employer.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Hybrid - Austin, TX Schedule: This is a full-time, Tuesday-Saturday role requiring a firm start time of 11:00 AM Central Time to align with our global operations. This role requires you to be able to come into our Austin office twice a week. About the Department The Customer Support Team is dedicated to resolving complex issues and providing technical assistance across various channels, including phone, email, chat, and social media. Our team passionately advocates for all customers, from individual Wordpress bloggers to Fortune 500 customers handling millions of clients daily. By actively listening to real-world pain points and use cases, we serve as the vital link between our customers and the rest of Cloudflare and play a key role in building a better Internet every day! What You’ll do As a Technical Support Engineer at Cloudflare, you’ll work directly with customers and cross-functional teams to tackle a variety of technical challenges. You’ll gain hands-on experience with our products, learn the inner workings of Cloudflare’s offerings, and deepen your understanding of internet technologies. This role also provides opportunities to develop valuable technical and professional skills, as well as job shadowing experiences to explore different roles within the company. Join us to enhance your skill set while making a real impact! Responsibilities Fulfill support requests by communicating with Cloudflare customers via chat, email, and phone Collaborate with senior engineers to analyze and troubleshoot customer issues Track support requests using our ticketing system Participate in team meetings to discuss and share feedback Help define and update AI skills and conversational journeys to ensure up-to-date knowledge is available in automated workflows, as well as updating other internal- and public-facing documentation as needed. Provide feedback on our product and potential improvements based on customer interactions Support the team in testing new releases and reporting bugs Perform other duties/projects as assigned Desirable Skills, Knowledge, and Experience: 3-5 years of experience working in a technical Customer Support role, preferably as part of a team working with large enterprise customers Self-driven and comfortable learning new technologies and systems on an ongoing basis Excellent written and verbal communication skills Strong understanding of how the Internet works at OSI Model layers 3, 4, and 7 Strong understanding of DNS, SSL/TLS, and HTTP(S) protocols General understanding of HTTP reverse proxying, caching, and load balancing Experience using Linux and associated command line tools, including curl, dig, traceroute, openssl, git, etc. Experience writing scripts in Bash, Python, JavaScript, or other scripting languages Experience installing and configuring web servers like Apache, Nginx, and/or IIS Bonus Points Prior experience with the Cloudflare platform, especially for personal projects/websites Experience troubleshooting network connectivity issues, BGP routing, and GRE tunnels Experience configuring network or application firewalls Degrees or certifications in Computer Science, Information Technology, and related fields Fluency in Mandarin, Spanish, and/or Portuguese Compensation Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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 Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments. We're looking for experienced product managers and founders with technical depth: people who can learn the unique needs of a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. We're open to deeply technical product experts who are excited to support scientific discovery; expertise in a scientific field is not required, but the ability to ramp in a new domain quickly is paramount.You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research. Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. Key responsibilities Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape Prototype ideas yourself with Claude to validate them before committing engineering time Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings Drive enterprise readiness  — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it Minimum qualifications You might be a good fit if you: Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist Have a deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks Preferred qualifications 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms) Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations A track record of launching ambitious products that found distribution or commercial success Experience designing trusted-access or staged-rollout programs for sensitive capabilities A creative, hacker spirit and a love of solving hard puzzles 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: $305,000 — $385,000 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: Yerevan Workplace: OnSite HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐THE PRODUCT LEAD ROLE ⭐ The Product Lead for Armenia will drive Alan's product strategy and execution in supporting the transformation of healthcare in Armenia. This role involves leading dedicated product teams (designers, engineers) while coordinating with global product areas and a local operations team to deliver on Alan's contractual obligations and member experience goals. 📈KEY OUTCOMES📈 1. Develop and execute a product strategy that serves both the government's public health objectives and the members' experience, supporting our targets in terms of coverage rollout, member satisfaction, and operational reliability under the concession's contractual commitments. 2. Lead product crews to deliver product enhancements and new features, demonstrating effective leadership and prioritization across parallel workstreams with shared dependencies. 3. Collaborate with global product areas to ensure the Armenian system benefits from global innovations, adapting them as necessary to fit the B2G model and local healthcare context. 4. Partner with the local operations team, government relations, customer care, and the national health IT platform to align product development with operational readiness and regulatory expectations. 5. Implement data-driven decision-making processes, utilizing analytics to inform product strategy and measure the impact of product changes on member access, operational efficiency, and government trust. 6. Foster a culture of innovation and continuous improvement within the product team, encouraging experimentation and learning from both successes and failures. ⭐IS IT WHAT YOU ARE LOOKING FOR?⭐ ️ YOU MAY BE A GREAT FIT AT ALAN IF YOU HAVE: - At least 10 years of experience in a product-related role (Product Manager, Founder, Business strategy) with a track record of delivering complex systems at scale. - A history of working on software products that delight users in a fast-paced environment from ideation to release. - Proven experience in product management, ideally involving B2G, public sector, or regulated environments where the end user and the paying entity are different stakeholders. - Strong analytical and strategic thinking skills, with the ability to translate complex data into actionable product strategies under high uncertainty and political sensitivity. - Excellent leadership and communication skills, capable of leading cross-functional teams and collaborating with stakeholders ranging from engineers to government officials. - Fluent in English. Proficiency in Armenian is a strong plus. - Experience in healthcare, insurance, or government services is a plus, but not required. - (As a plus) Ability to work with distributed teams and coordinate efforts across different geographical locations. We are looking for someone who wants to build something meaningful from the ground up, with a high level of ownership and a lot of room to shape the role. We hire people, not roles. If this opportunity speaks to you, we would love to hear from you.

Location: Tallinn, Estonia; Chișinău, Moldova Workplace: fully Plummy Games is a product-driven mobile gaming company focused on creating high-quality casual experiences for players worldwide. Our flagship game, Star Merge , is a successful F2P Merge-3 title recognized for its polished gameplay and stunning visuals. We’re a team that values creativity, ownership, and continuous growth. If you’re a Senior GameDev Engineer who enjoys tackling complex challenges in mobile games, let’s connect! You’ll work on a live mobile title Star Merge using C++ , moving across gameplay features, technical systems, performance improvements, and SDK integrations to deliver features that players actually feel. Let's merge your talents with our vision and create something truly magical! ⭐ Responsibilities: Design, implement, and maintain gameplay features and technical systems in C++ and our existing tech stack. Work on mobile game performance and stability (ANRs, crashes, memory usage, build size). Integrate and maintain third-party SDKs (ads, analytics, crash reporting, observability, customer support). Debug and fix complex production issues, including hard-to-reproduce bugs. Collaborate with game designers, analysts, QA, and other developers to deliver features from idea to release. Contribute to technical planning, architecture, code quality, and AI-assisted workflows. Take ownership of tasks and follow them through to completion, including testing and release support. Requirements: 5+ years of experience as a C++ developer in mobile games (Android / iOS) . Strong C++ fundamentals and technical problem-solving skills. Experience with game engines (in-house or commercial). Our game is built on Cocos2d-x. Ability to debug difficult issues (crashes, memory leaks, performance problems). Experience integrating SDKs (ad monetization, analytics, crash reporting, customer support, etc.). Strong problem-solving skills and a finisher mindset, with attention to detail and a focus on stability and performance in production. Practical experience with AI-assisted development tools , including providing context, writing clear instructions, and critically reviewing generated code. Comfortable working remotely and autonomously, coordinating with a distributed team. Strong communication skills in English (spoken and written). Nice-to-have Experience working on casual mobile games, such as merge, match-2/3, farming, or city-building. Experience with liveops/frequently updated mobile games. Familiarity with observability tools (e.g., crash logging, performance monitoring). Experience implementing analytics-driven game features. Interest in architecture and code quality (modularization, refactoring, technical debt management). What kind of person will fit: You are detail-oriented and care about stability and performance in production. You are a team player: you listen, give and receive feedback, and help others succeed. You own problems instead of waiting for someone else to fix them. You stay calm and systematic when things go wrong (production bugs, tight deadlines). You’re curious and proactive about learning our stack, tools, and processes. You’re open to AI-assisted development. We offer: Remote-first approach with various collaboration models Smooth onboarding experience, with full support from our team to help you feel confident from accepting the offer Work alongside experienced, like-minded professionals with an opportunity for fast professional growth Competitive salaries, reviewed on a timely basis, or personal achievements and involvement in the project A standard 5-day workweek, synced with the GMT+2 time zone 20 business days of paid vacation, with the option to take single days off from this amount Public holidays based on your country of residence 5 sick days per year for health-related needs - no doctor’s note required 📍Moldova-based? You’ll work from our office and will be covered with full IT Park social benefits 📍Estonia-based? You’ll get a full employment contract under Estonian law Our Recruitment process: CV Review → Interview with Recruiter → Technical Interview with Team Lead & CTO → Job Offer We look forward to receiving your application!

Location: North America, EU, UK AI Security Researcher / Research Engineer Remote or hybrid - London preferred but North America, EU, UK accepted About Brave: Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent (https://brave.com/blog/ai-browsing/) and chatbot, and help set Brave's direction on how we identify, measure, and reduce security risk across AI products. Responsibilities Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration) Analyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models Develop and prototype security-focused training and fine-tuning techniques Augment web agents with security principles including information flow control, privilege control and contextual security Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements Help define a forward-looking security strategy and policy for building and responsibly releasing web agents—advocating for user protection You may be a good fit if you have Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails) Strong publication record in AI security, ML security, or closely related areas A track record of shipping products and features inside a fast-moving environment Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX Experience training, fine-tuning, and evaluating large language models Deep familiarity with large language models and web agents, how they work, and how they are trained Experience applying security principles (e.g., information flow control, access control/least privilege) Demonstrated success in bringing clarity and ownership to ambiguous technical problems A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience Skills That Will Set You Apart from the Competition Knowledge of AI Systems (pipelines, security evaluation, etc.) Open source projects on security/privacy Experience with confidential computing and ZKP/SMPC protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance, or ML Work experience in industry is desirable Working at Brave - What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards 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: $270,000 — $315,000 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: 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 As an Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, 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 Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture. In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global: you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams. Key responsibilities Serve as one of Anthropic's lead in-house regulatory counsel for US AI regulation, covering applicability analysis, readiness, day-to-day advice, and compliance-program design Own US regulatory compliance deliverables end to end, such as published safety and transparency frameworks, model documentation obligations, and incident-reporting requirements Track legislative, regulatory, and standards developments across US federal and state jurisdictions (and internationally where relevant), assess applicability and impact on Anthropic's business and products, and design compliance approaches well in advance of obligations taking effect Counsel legal, compliance, safety, security, and business teams on day-to-day regulatory questions once laws are in force, translating complex and often ambiguous requirements into practical guidance and scalable compliance programs Support Anthropic's engagement with US AI regulators, enforcement agencies, and standards bodies — including notifications, information requests, reporting obligations, and voluntary framework and standards processes — in close partnership with Policy Partner with Anthropic's Policy and Policy Legal teams on pre-legislative and rulemaking engagement, including comment letters and regulatory submissions, translating policy positions into legally-grounded regulatory positions Partner with Anthropic's Litigation and Regulatory Investigations Legal teams on litigation and regulatory enforcement concerning AI regulation Contribute to Anthropic's global frontier AI regulatory work where it intersects with US obligations Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Hands-on experience advising a technology business (in-house or at a leading law firm) on emerging regulatory regimes, including taking questions from first read of a statute through to a documented compliance position and a shipped artifact Experience engaging with regulators, enforcement agencies, or standards bodies in a non-contentious supervisory capacity Experience drafting regulatory compliance deliverables, such as compliance policies, regulatory submissions, or published compliance frameworks Ability to communicate complex legal concepts clearly to technical, policy, product, and business audiences Preferred qualifications 8–12 years of regulatory legal experience, with substantive depth in technology regulation and hands-on exposure to AI-specific frameworks Direct experience with frontier AI regulatory regimes — California SB 53, the Colorado AI Act, or comparable state laws; or the EU AI Act and GPAI Code of Practice Experience at a frontier AI company, large technology platform, or other hyper-scaling technology business operating under novel regulatory regimes Familiarity with adjacent laws that intersect with AI regulation — e.g., privacy and data protection, consumer protection, product safety, and export controls Familiarity with model evaluation, capability testing, or AI safety concepts A background that combines private practice and in-house experience Comfort with ambiguity and the ability to develop novel compliance approaches in areas without established precedent Strong organizational skills to run several workstreams in parallel and keep compliance artifacts current without prompting Excellence at cross-functional collaboration Passion for responsible AI development and getting the balance right between innovation and appropriate safeguards Understanding of how to build constructive long-term relationships with regulators and standards bodies Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote; Remote or Boston, MA Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We're a team of fiercely driven individuals committed to making healthcare more sustainable—and we're looking for passionate people to help us get there. For more information, visit arcadia.io. Why this role is important to Arcadia Arcadia is building a direct-to–Life Sciences commercial function as a strategic growth pillar of the company. The Director, Business Development - Life Sciences is an individual contributor seller responsible for building and closing enterprise relationships with pharmaceutical and biotechnology companies within an assigned account territory. This is a true end-to-end selling role. You will prospect and develop new opportunities, lead discovery conversations with scientific and commercial stakeholders, scope and price solutions, negotiate contracts, and partner closely with internal teams to ensure successful delivery and long-term client satisfaction. This role is designed for a life sciences seller with fluency in real-world data, analytics, and evidence-based solutions—someone who understands how pharma organizations buy across the development lifecycle and who wants to build a durable book of business inside Arcadia's growing direct Life Sciences sales organization.   What Success Looks Like In 3 months Build a deep understanding of Arcadia's Life Sciences data, solutions, operating model, and delivery capabilities Establish credibility and working rhythm with Product, Data, Ops, Delivery, Legal, and Finance Build a qualified pipeline within your assigned account territory, leveraging existing relationships and Arcadia's differentiated data assets Complete onboarding on Arcadia's Life Sciences value narrative, competitive positioning, and pricing framework In 6 months Advance a meaningful, qualified pipeline aligned to pharma planning and budgeting cycles Close at least one deal or be in late-stage contracting on priority opportunities Demonstrate strong deal scoping discipline with smooth handoffs into delivery Maintain accurate CRM hygiene and deliver a reliable forecast to your manager In 12 months Consistently attain quota with a 3-5x quota, well-qualified pipeline across your territory Close multiple deals with clear expansion potential, including at least one multi-year or enterprise agreement Build strong relationships with scientific, commercial, and procurement stakeholders where Arcadia is viewed as a trusted partner Provide market feedback that influences packaging, pricing, or roadmap prioritization What You'll Be Doing PROSPECT AND BUILD A QUALIFIED LIFE SCIENCES PIPELINE Proactively build pipeline in a green-field or assigned Life Sciences territory using conference presence, publication monitoring, thought leadership networks, hunting via warm and cold outreach, leveraging of BDR Team, and CRO or consultancy partnerships Identify and prioritize high-probability targets using a defined ideal customer profile: company size, therapeutic area focus, pipeline stage, and recent approvals Map multi-threaded stakeholder ecosystems across R&D, HEOR, medical, market access, and commercial teams at target accounts Maintain rigorous pipeline hygiene using a defined qualification methodology (e.g., MEDDIC, MEDDPICC, or BANT) to advance or deprioritize opportunities LEAD SOLUTION SELLING ACROSS THE PHARMA DEVELOPMENT LIFECYCLE Lead discovery conversations across early research, clinical development, HEOR/RWE, market access, and commercial analytics Translate complex client needs into well-scoped solutions that balance data, analytics, services, and delivery realities Guide clients toward use cases where Arcadia can deliver outsized value, not lowest-friction data transactions Align solutions to client budgeting and planning cycles, including annual and multi-year funding processes CONDUCT CONSULTATIVE, VALUE-BASED SELLING Lead structured discovery that surfaces business problems and internal success metrics before any product discussion Build ROI and business cases using the customer's own metrics and language, validated by the scientific or commercial champion Adapt selling approach and content to the buyer persona and Use Case - modulating message and proof points accordingly NEGOTIATE AND CLOSE COMMERCIAL AGREEMENTS Structure enterprise data agreements—licensing, DUAs, MSAs, usage-based pricing—that protect margin while delivering clear buyer value Exercise strong commercial judgment on deal structure, pricing, and scope, with a clear negotiating position and walk-away point on every deal Respond to procurement pressure by re-anchoring to validated scientific and commercial value rather than discounting immediately Own the full lifecycle: Opportunity qualification Solution design and scoping Proposal and SOW development Pricing and commercial structuring Contract negotiation and close Partner closely with legal, finance, and leadership to finalize terms efficiently COLLABORATE ACROSS TEAMS AND MAINTAIN FORECAST DISCIPLINE Partner effectively with data science, medical, product, legal, and delivery teams to configure and present solutions that meet complex customer requirements Orchestrate internal resources without over-committing them, and manage a clean handoff to delivery and customer success to protect revenue Maintain accurate, up-to-date CRM records and deliver reliable forecasts, distinguishing clearly between commit, best case, and pipeline Contribute market and competitive feedback that informs product roadmap, packaging, and pricing decisions What You'll Bring 5+ years of experience selling into pharmaceutical and/or biotechnology companies, ideally in a quota-carrying, individual contributor role Demonstrated success selling data-, analytics-, or evidence-driven solutions (RWD, RWE/HEOR, clinical analytics, or adjacent offerings) Deep working knowledge of Life Sciences functional area—HEOR, Medical Affairs, Clinical Development, or Payer/Market Access—including how that function makes decisions and purchases data and analytics solutions Proven ability to engage scientific buyers (PhDs, MDs, biostatisticians, epidemiologists) with credibility on methodology , study design, and data fit-for-purpose Experience structuring and negotiating enterprise data licensing agreements, including DUAs, MSAs, and usage-based pricing models A disciplined approach to pipeline management and forecasting, using a defined qualification methodology Strong cross-functional collaboration skills and comfort operating in a build-mode commercial environment Would Love For You To Have Existing senior relationships within pharma or biotech that can accelerate early pipeline development Familiarity with FDA RWE Framework, EMA guidance, or ISPOR methodology standards Experience selling into more than one Life Sciences functional area (e.g., both HEOR and Medical Affairs) Active presence in relevant industry conferences (ISPOR, ASCO, ASH, DIA, AMCP) and referral relationships with CROs or HEOR consultancies MEDDIC or MEDDPICC certification, or equivalent formal sales methodology training What You'll Get Arcadia brings a rare advantage to Life Sciences: a market-leading, scaled payer and provider platform as its foundation For more than a decade, Arcadia has been the trusted data and analytics partner to health systems, physician groups, and payers nationwide. That core business provides deep, longitudinal clinical and claims data, embedded clinical workflows, and durable relationships across the healthcare ecosystem Building on this foundation, Arcadia has assembled a large, de-identified real-world dataset combining claims and clinically rich EHR data sourced directly from provider systems. The result is a longitudinal, research-grade asset with depth and clinical context that is difficult to replicate through aggregation alone Life Sciences is a strategic pillar built on this foundation. Arcadia has made a deliberate, multi-year investment in: Purpose-built real-world data assets Clinically connected solutions that link insight back into provider workflows A growing research and collaboration ecosystem to expand data use rights Dedicated leadership, product, data, and operational resources The opportunity is to sell—and help shape—solutions that connect data, analytics, and real-world clinical activation across the pharma development lifecycle, backed by enterprise credibility and executive commitment This role is a founding, hands-on commercial leadership role, accountable for building the direct Life Sciences revenue engine, and deeply involved in shaping deals, messaging, and market positioning This role is not a channel-only or account maintenance role, a narrowly scoped quota-carrying role with a fixed playbook, and insulated from product, delivery, or execution realities About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: New York City Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Senior Product Manager at Via, you will lead a complex, scaled portfolio of products and features that impact our end users. You will be joining Via at a time of rapid growth, impacting tens of thousands of riders per day especially those from low-income communities. This is an opportunity to shape the next generation of our mobile apps, provide intuitive and delightful experiences all while keeping our promise to our public sector customers on bettering the transit network as a whole. This includes combining various transportation modes, thoughtfully integrating into existing public transport and translating that experience across users from our public sector customers to riders and drivers. The role is one of thought leadership combined with a pragmatic eye towards building and shipping products that delight our partners. What You'll Do: Define and execute the overarching product strategy for the next-generation Rider and Driver platforms, leveraging AI and emerging technologies to expand reach across broader geographies, diverse user profiles, and multi-provider offerings. Develop scalable functionality that accommodates complex service deployments with diverse policies surrounding mobility, payments, and user communication. Convert user research and operational insights into clear product specifications by pinpointing core problems, formulating hypotheses, and defining success criteria. Analyze qualitative feedback and quantitative metrics to align stakeholders and refine product development cycles. Establish a rigorous, data-informed prioritization framework, evaluating the ROI of feature requests to effectively guide scoping decisions and roadmapping. Serve as the central liaison across cross-functional teams, including Engineering, QA, Operations, and Business, engaging in detailed, day-to-day execution. Who You Are: You are an experienced product manager, with a minimum 5+ years of experience in successful startups or large companies operating on a global scale. You have owned a broad set of products, led a product domain/line across a company, and built category-leading products. You are able to digest market research & customer feedback along with having a crisp understanding of technical requirements and constraints to paint a vision of what a great product could look like. You have a strong understanding of how AI and emerging technologies can transform product experiences, and a track record of identifying and shipping AI-powered solutions that create meaningful value for users and the business. You have demonstrated success in handling an end-to-end product lifecycle with the ability to drive product planning, development, and launch. Excellent analytical abilities and a strong business acumen. A great multitasker who thrives in a dynamic, fast-paced work environment. Pro-active and independent achiever, self-learner, able to handle a task from idea to production. Team player, with great communication/listening skills and a can-do attitude. You have a passion for public transit, mapping, SaaS and accessibility - working experience in these areas is a plus. What We Offer: Base Salary Range: $150,000 - $220,000 per year plus variable pay and equity as part of a total compensation package. Final compensation will be determined by the candidate’s experience, knowledge, and skills. Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (mental health, pet insurance, and other wellness perks) 20 days of paid time off (PTO) annually There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: New York City Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Director of Product at Via, you will lead a complex, scaled portfolio of products and features that impact our end users. You will be joining Via at a time of rapid growth,  impacting tens of thousands of riders per day especially those from low-income communities. This is an opportunity to shape the next generation of our mobile apps, provide intuitive and delightful experiences all while keeping our promise to our public sector customers on bettering the transit network as a whole. This includes combining various transportation modes, thoughtfully integrating into existing public transport and translating that experience across users from our public sector customers to riders and drivers. This role is one of thought leadership combined with a pragmatic eye towards building and shipping products that delight our partners. What You’ll Do: Define and lead the vision and strategic roadmap for our next-generation mobile platform, driving seamless and intuitive journeys for millions of riders and drivers on a single unified platform. Leverage data analytics, AI, user research, and innovative thinking to spearhead product features that deliver delightful and high-impact mobile experiences. Manage full-stack development from front-end user interfaces to back-end architecture, robust API integrations, and third-party partner connections. Actively collaborate on user-first design and interface details to ensure smooth, highly accessible, and intuitive interactions across all platforms. Assess the value relative to cost for all product requirements, efficiently scoping and descoping items as needed to optimize resource allocation. Serve as the primary liaison across Engineering, QA, Operations, and Business teams to direct cohesive, day-to-day execution. Who You Are: You are an experienced product manager, with 7-10 years of experience in successful startups or large companies operating on a global scale. You have owned a broad set of products, led a product domain/line across a company, and built category-leading products. You are able to digest market research & customer feedback along with having a crisp understanding of technical requirements and constraints to paint a vision of what a great product could look like. You have a strong understanding of how AI and emerging technologies can transform product experiences, and a track record of identifying and shipping AI-powered solutions that create meaningful value for users and the business. You have demonstrated success in handling an end-to-end product lifecycle with the ability to drive product planning, development, and launch. Excellent analytical abilities and a strong business acumen. A great multitasker who thrives in a dynamic, fast-paced work environment. Pro-active and independent achiever, self-learner, able to handle a task from idea to production. Team player, with great communication/listening skills and a can-do attitude. You have a passion for public transit, mapping, SaaS and accessibility - working experience in these areas is a plus. What We Offer: Base Salary Range: $200,000 - $300,000 per year plus variable pay and equity as part of a total compensation package. Final compensation will be determined by the candidate’s experience, knowledge, and skills. Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (mental health, pet insurance, and other wellness perks) 20 days of paid time off (PTO) annually There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Finance Data Governance Consultant (Contract) *This is a 12 month temporary assignment Sony Interactive Entertainment is seeking an experienced, hands-on Finance Data Governance consultant to help establish and operationalize SIE’s Finance Data Governance capability. The role will partner across Finance and Technology to define governance standards, document critical Finance data and lineage, establish data quality controls, govern master data and hierarchies, and support priority Finance data products. The ideal candidate should have 8+ years of experience in data governance, Finance transformation, or Finance data management, with strong knowledge of financial processes and systems. Experience with SAP S/4HANA, Snowflake, data catalog/governance platforms such as Atlan or Collibra, and enterprise reporting tools is preferred. The candidate should be comfortable working independently in a greenfield environment and translating complex Finance and technical requirements into practical, sustainable governance processes. Responsibilities: Establish the Finance Data Governance Foundation Assess the current maturity of Finance data governance, documentation, ownership, controls, and data management practices. Design and implement a practical Finance Data Governance operating model, including roles, decision rights, governance forums, workflows, escalation paths, and operating cadences. Create governance standards, procedures, templates, decision logs, issue-management routines, and approval processes that Finance and Technology teams can use in practice. Build the Finance Data Inventory and Business Glossary Identify and inventory priority Finance data domains, systems, tables, reports, interfaces, data products, calculations, mappings, and critical data elements. Document business definitions, ownership, stewardship, approved usage, security classification, refresh frequency, and downstream dependencies. Resolve conflicting definitions across Accounting, FP&A, management reporting, statutory reporting, and regional Finance teams. Prepare metadata for publication in an enterprise data catalog and establish workflows for maintaining, reviewing, approving, and retiring governance documentation. Document Data Lineage and Finance Transformation Logic Map data from source systems through integration, transformation, consolidation, reporting, and analytical consumption. Document business rules, transformation logic, mappings, allocations, eliminations, adjustments, currency translation, and reconciliation points. Identify manual transformations, uncontrolled spreadsheets, duplicated logic, missing ownership, and lineage gaps, and support impact assessments for upstream changes. Partner with technical teams to distinguish business lineage from physical and technical lineage. Establish Data Quality and Financial Data Controls Define practical Finance data quality standards, rules, thresholds, monitoring requirements, and acceptance criteria. Build a data quality rule inventory and support issue identification, triage, root-cause analysis, ownership, remediation, escalation, and closure. Develop data quality scorecards and maintain traceable and auditable evidence for approvals, exceptions, reconciliations, and remediation activities. Govern Finance Master Data and Hierarchies Document and govern Finance master data, reference data, mappings, and hierarchies, including accounts, cost centers, profit centers, entities, products, regions, currencies, scenarios, and reporting periods. Define ownership, approval, versioning, effective dating, and change-control requirements. Partner with master-data and technology teams on future hierarchy-management and Master Data Management initiatives, including business requirements, process design, testing, and downstream-impact assessment. Support Priority Finance Data Products Apply governance standards to priority Finance data products and procedures. Support documentation and validation of SAP financial and consolidation data, including ACDOCA and ACDOCU where applicable. Help document data flows and reconciliation requirements across SAP, consolidation and reporting platforms, Snowflake, Domo, planning tools, and downstream reports.· Support the development of governed enterprise context and semantic layers for reporting, analytics, and AI-enabled Finance use cases. Drive Adoption and Manage Delivery Facilitate workshops, prepare executive-ready updates, develop training materials, and coach data owners and stewards on their responsibilities. Translate complex Finance and technical concepts into clear documentation and decisions. Establish a repeatable onboarding approach for new data domains and data products. Promote governance as an enabler of faster, more reliable reporting and analytics rather than as an administrative exercise. Develop and maintain a prioritized governance backlog with defined owners, deliverables, dependencies, and completion criteria. Work independently, identify missing requirements, and move ambiguous work toward resolution. Required Qualifications: 8+ years of experience in data governance, Finance data management, Finance transformation, financial systems, data quality, metadata management, or related consulting roles. Demonstrated experience establishing or materially improving a data governance and data strategy capability in a complex enterprise. Strong understanding of Finance processes, including general ledger, management reporting, financial consolidation, planning, forecasting, close, and reconciliation. Experience documenting financial data definitions, business rules, mappings, hierarchies, lineage, controls, and data quality requirements. Experience partnering with Finance, Accounting, FP&A, data engineering, business intelligence, security, and enterprise technology teams. Ability to distinguish business ownership and governance responsibilities from technical platform and engineering responsibilities. Strong facilitation skills and the ability to drive decisions across stakeholders with different priorities. Demonstrated ability to create detailed, usable deliverables with limited existing documentation or structure. Strong written communication skills with the ability to produce both detailed working documentation and executive-level summaries. Experience working in a consulting, transformation, or contractor environment where measurable deliverables and knowledge transfer are required. Ability to operate independently in an ambiguous, fast-moving, greenfield environment. Bachelor's degree or equivalent. Preferred Qualifications Experience with SAP S/4HANA Finance and related financial data structures, consolidation, or group reporting (e.g., ACDOCA, ACDOCU). Experience with cloud data platforms, enterprise analytics/reporting tools, and data governance/catalog platforms (e.g., Snowflake, Tableau, Power BI, Domo, Atlan, Collibra, Purview, or similar). Strong understanding of data quality and architecture, including SQL, data profiling/reconciliation, dimensional modeling, semantic layers, hierarchies, and modern data architectures. Experience working with Finance data in SOX-controlled or audit-sensitive environments, including data supporting automation and AI; consulting, Finance transformation, or enterprise data advisory experience preferred. #LI-SV1 At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below. $129,600 — $194,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible. About the role We're looking for a Partnership Manager to grow our AI for Science Program . You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains. In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI. Responsibilities: Execute Anthropic's AI for Science API credit program, managing day-to-day partnerships with academic labs, small start-ups, and potentially foundations Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities Manage timelines, resource requirements, and regular reporting associated with the AI for Science program Work closely with partners to understand their technical and operational needs and translate them into deployment plans Comfort with early technical prototyping and testing to help learn alongside and unblock partners Contribute to a research agenda for understanding AI's impact on individual labs across domains Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem Represent Anthropic at global scientific convenings and conferences Help shape team processes and culture as we scale our Life Science work You may be a good fit if you have: 2+ years of experience in or around life sciences research, with exposure to how new technologies can accelerate scientific progress Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies— whether through organizing journal clubs, meetups, student groups, or online scientific communities A growing network in the life sciences: you understand the landscape of universities, research institutes, and tools companies, and are energized by building new relationships Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Analytical mindset with experience using data to inform strategy and measure impact An entrepreneurial mindset: you're excited to build programs from scratch, and may have early experience doing so at a startup, in a lab, or through a side project A genuine drive to maximize impact for underserved communities High agency and comfort with ambiguity; you thrive when you're building the plane while flying it Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities Willingness to travel for occasional partner visits and conferences Strong candidates may also have: Experience managing external partnerships, grantmaking, or multi-stakeholder initiatives Experience working with philanthropic foundations on science funding Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product Background in wet lab research with an ability and aptitude for scientific communications 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: $170,000 — $215,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States 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 building AI compute at a scale and pace that outruns what off-the-shelf data center equipment was designed for. Much of the power and cooling equipment behind our next campuses — battery energy storage systems (BESS), grid-forming and grid-following inverters, solid-state transformers (SST), E-STATCOM and other power-quality devices, medium-voltage switchgear, UPS, and liquid-cooling systems — is either new to the market, new to the supplier, or being built at a volume the supplier has never shipped before. The NPI Engineer owns the path from "the supplier has a design" to "the equipment is qualified, manufacturable at rate, and running reliably on site." You sit between our electrical and mechanical design teams, our supply chain and quality teams, and the supplier's engineering and factory organizations, and you make sure every new product or major variant clears the gates — EVT, DVT, PVT, FAT, SAT — before it is trusted with production load. This is a hands-on role: you will spend real time on supplier factory floors, in test labs, and at site commissioning. What you'll do Own the NPI program for each new power or cooling product (BESS, inverters, SST, E-STATCOM, MV switchgear, UPS, CDUs, chillers) from concept selection through ramp, including the gate schedule, exit criteria, and risk register. Drive early supplier design engagement: translate our site requirements (fault current, grid interconnection, harmonic and ride-through requirements, thermal envelopes, footprint, serviceability) into product requirements and specifications the supplier can build to, and negotiate trade-offs with their engineering teams. Lead DFM/DFT/DFx reviews with suppliers so designs are manufacturable at the rate we need, testable in the factory, and serviceable in the field. Plan and run prototype and pilot builds: define EVT/DVT/PVT scope and sample counts, witness builds, own test plans (type testing, HALT/HASS, thermal, EMC, protection coordination, functional and integration tests), and drive root cause and corrective action on every failure. Qualify the product for deployment: define and execute first-article inspection, factory acceptance testing (FAT), site acceptance testing (SAT), and integrated system testing with the rest of the electrical and cooling chain, and sign off on production readiness. Hand off to steady state: transfer qualified products, control plans, test procedures, and known-issue lists to the Manufacturing Quality and Supply Chain Delivery teams, and support them through the first production ramps. Build the reliability picture: run FMEA/DFMEA with suppliers, define reliability targets and burn-in requirements, and feed field failure data back into the next revision. Coordinate cross-functionally with design engineering, construction, commissioning, utilities/interconnection, safety, and sourcing so NPI schedules are integrated with campus delivery schedules. Keep suppliers honest: track readiness and risk with clear metrics, escalate early, and hold technical reviews that resolve issues rather than admire them. You may be a good fit if you have 8+ years of engineering experience in power electronics, electrical equipment, or industrial energy systems, with at least 4 years in an NPI, product development, or product engineering role that owned a product from prototype through production ramp. Direct, hands-on experience with at least two of: BESS, utility- or data-center-scale inverters, medium-voltage transformers or switchgear, UPS, STATCOM/power-quality equipment, or liquid cooling systems (CDUs, chillers, hydronics). Working knowledge of the relevant standards and how they get applied in qualification: UL 9540/9540A, UL 1741 and IEEE 1547, IEEE 2800, IEC 62477 / IEC 62909, IEEE C37 and C57 series, NFPA 70/855, UL 1778, and comparable IEC equivalents. Experience defining and executing structured qualification programs (EVT/DVT/PVT, FAT/SAT, type testing, reliability testing) and closing failures with disciplined root cause analysis and CAPA. Familiarity with supplier factory environments — production lines, test bays, quality systems — and the ability to assess a supplier's real readiness to ship at rate. Fluency in design-for-manufacturing and design-for-test principles and the supplier ECO/change-control process. Strong systems thinking: you can reason about how an inverter, a battery, a transformer, and a cooling loop behave together at a site, not just in isolation. Clear written and verbal communication, and comfort driving decisions across engineering, supply chain, and executive audiences. A bachelor's degree in electrical, mechanical, or power engineering, or equivalent experience. Willingness to travel 30–40% to supplier factories and data center sites, including internationally. Strong candidates may also have Experience with solid-state transformers, grid-forming inverters, E-STATCOM, or other emerging power-conversion equipment being introduced to data center or utility applications for the first time. NPI or product engineering experience at a hyperscaler, a large utility-scale developer, or a Tier-1 power equipment OEM. Background in grid interconnection studies, protection coordination, or power-system modeling (PSCAD, ETAP, PSS/E, or similar). Liquid cooling product introduction experience — CDU, rear-door heat exchanger, direct-to-chip, or immersion systems. Reliability engineering credentials (CRE, Six Sigma) or experience running HALT/HASS programs. Firmware and controls validation experience for power conversion equipment (inverter control loops, BMS, EMS, PLC/SCADA integration). Experience standing up or scaling new supplier manufacturing lines, including contract manufacturing and international sites. 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.