Senior Counsel

ABOUT ANTHROPIC Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. ABOUT THE ROLE Anthropic's Finance Systems team builds and owns the infrastructure that powers our financial operations and drives the initiatives that scale the Finance function as the company grows. As our financial operations grow in complexity, the team is moving beyond configuring off-the-shelf platforms and into building the production-grade financial applications that no vendor has built for us yet. You will own three things end to end: * The architecture: design the treasury technology platform and data foundation, make the sequencing and build-vs-buy calls, and get the foundation right so we don't rebuild it in two years. * The automation: turn Treasury's daily and monthly operating processes (cash positioning, cash flash reporting, forecasting, bank account management, payments) into tested, Claude-powered workflows that a lean team can run. * The ecosystem: figure out how treasury technology plugs into the broader Finance data lake, the ERP, our banks, and vendor systems, so treasury is a well-governed node in the company's data architecture and ecosystems rather than an island on its own. You will be the bridge between the Treasury business owners and Finance Systems engineering, turning operational needs into a clear plan and driving it through to production. This is a foundational leadership role with significant ownership over architecture, vendor, and tooling decisions. You will shape how Anthropic sees and forecasts its cash, with room to grow the team and your scope as the function matures. IN THIS ROLE YOU WILL: Architect the platform * Define the target-state architecture for treasury technology: the data foundation, the applications that sit on top of it, and how they connect * Design the treasury data foundation (models, tables, pipelines, governance) as the single source of truth for banking, cash, payments, and investment data * Lead the treasury management system build-vs-buy evaluation and own the resulting path - vendor selection and implementation, or the internal build * Sequence the multi-year roadmap so foundational work lands before the capabilities that depend on it, with minimal throwaway work Automate key treasury processes * Own the product roadmap for daily cash positioning, cash and liquidity forecasting, cash flash and leadership reporting, bank account management, treasury intake, and payment workflows * Design and ship Claude-powered agents and dashboards that automate manual, error-prone treasury work, so a lean team can operate at scale * Partner with Treasury operators to turn their processes into clear product specs, success criteria, and delivery plans, then drive them through to production * Ensure everything we ship is auditable, controlled, and recoverable, with the rigor that SOX compliance demands as scope grows into controlled processes Define the ecosystem * Align treasury data models and governance with the broader Finance data lake strategy so what we build now plugs in rather than gets rebuilt * Map and own the integration surface across banks, bank connectivity providers, TMS, ERP, and internal finance systems * Drive the technology agenda with our banking partners, TMS vendors, and connectivity providers tracking their technology roadmaps and partnering on emerging capabilities; partner internally with Accounting, FP&A, Internal Audit, and Data Engineering so treasury systems fit the company's control environment and architecture  * Run the function; set direction for and unblock one to two finance systems engineers; review technical designs YOU MAY BE A GOOD FIT IF YOU: * Have 10+ years of experience in product management, technical program management, or systems leadership in finance, treasury, or fintech * Have deep treasury domain knowledge, including cash positioning, liquidity forecasting, bank connectivity, cash pooling structures , or payment workflows * Have owned the architecture and platform decisions for an internal finance or data platform across multiple systems and vendors * Have a track record of shipping internal platforms or finance systems with an engineering team * Have led complex system design and infrastructure programs, and are comfortable owning architecture and platform decisions across multiple systems and vendors * Have led a system implementation (TMS, ERP module, or similar) or a material internal build from design through go-live * Are a strong stakeholder manager across Treasury, Finance, Engineering, Internal Audit (Risk and Compliance)and external vendors * Communicate clearly in writing and in the room, and can run a steering meeting or land a one-pager with executives * Thrive in environments where the roadmap, the systems, and the team all need to be built at the same time STRONG CANDIDATES MAY ALSO HAVE: * Direct experience with treasury management systems such as Kyriba, Quantum, Trovata, or similar as owner, administrator, or implementer * Experience integrating with banking APIs, payment rails, or bank connectivity providers * Experience with cash pooling structures, intercompany funding, or multi-entity treasury operations * Experience designing or overseeing finance data infrastructure (GCP/BigQuery or a comparable data warehouses, pipelines, reporting platforms) at a program level * Experience at a high-growth technology company navigating rapid revenue expansion or system consolidation * Built or product-managed AI/LLM-assisted workflows, agents, or Claude-powered automation for financial operations * A CTP, CFA, or comparable treasury/finance credential is a nice to have 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. 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 [http://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 [https://www.anthropic.com/candidate-ai-guidance] for using AI in our application process.

About Glean:   Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.   At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.   Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.   If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.   About the Role: Glean is seeking a Senior Infrastructure Technical Program Manager (TPM) to lead large-scale, cross-functional initiatives that define, scale, and optimize our infrastructure platform.   This role sits at the intersection of infrastructure engineering, reliability, cost efficiency, and AI systems, driving programs that ensure Glean’s platform remains performant, scalable, and resilient as we continue to grow.   You’ll partner closely with Infra, AI/ML, and Platform Engineering teams to design orchestration systems, streamline deployments, and build the foundations that power our search and AI capabilities.   You’ll play a central role in: * Driving the company’s Infrastructure roadmap across Setup & Deployment, Runtime, Storage, and AI Infra. * Leading cross-functional programs that improve scalability, reliability, cost efficiency, and developer velocity. * Defining and orchestrating how Glean instances are deployed, upgraded, and monitored at scale. * Partnering with AI and Data teams to evolve our ML pipelines, model training infrastructure, and LLM serving stack. * Leading initiatives to improve observability, configuration management, and resource utilization. * Coordinating capacity planning, infrastructure migrations, and performance optimization programs. * Building clear visibility into infra cost drivers and partnering with finance and engineering leaders on optimization initiatives. You will: * Lead end-to-end infra programs spanning compute, networking, storage, orchestration, and AI workloads. * Partner with Engineering to define standards for environment provisioning, deployment automation, and configuration governance. * Develop and operationalize frameworks for runtime health, scaling, and disaster recovery. * Drive consistency and automation across deployment orchestration systems. * Establish clear metrics for reliability, performance, and cost efficiency. * Coordinate cross-team delivery of high-impact programs such as data pipeline scalability, LLM infrastructure expansion, or infra observability improvements. * Communicate program status and technical risks effectively to leadership and stakeholders. * Continuously identify process or system bottlenecks, and drive automation to improve speed and reliability of infra operations. About you: * BS/MS in Computer Science, Engineering, or a related technical field. * 8-10+ years of experience in technical program management, infrastructure, or SRE, with at least 3-5 years managing infra or platform-scale programs. * Proven success delivering cross-functional infrastructure programs in B2B or enterprise environments where scalability, uptime, and performance are critical. * Experience working closely with Infra, SRE, and ML/AI teams on distributed systems or data infrastructure. * Strong understanding of cloud infrastructure (AWS, GCP, or Azure) including compute, networking, storage, and orchestration systems. * Understanding of data pipelines, ML training workflows, and LLM runtime infrastructure is a plus. * Ability to structure complex multi-quarter infrastructure programs with clear milestones and measurable impact. * Strong written and verbal communication and ability to manage through ambiguity, anticipate scaling challenges, and align teams across priorities. * Builder mindset with focus on automation, reliability, and efficiency. Location: * This role is hybrid (4 days a week in our San Francisco office) Compensation & Benefits:   The standard base salary range for this position is $198,000 - $235,500 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.   We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.   We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID   AI-First Mindset at Glean:   At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.   Global Data Privacy Notice for Job Candidates and Applicants:   Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy [https://www.glean.com/privacy]. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement [https://www.glean.com/arbitrationagreement]. By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement [https://www.glean.com/arbitrationagreement], and I agree to the terms.