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Finance Systems, Head of AI & Innovation

Anthropic
5 hours ago
On-site
San Francisco, CA

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic is building the world’s most capable and safest AI — and our Finance team has a front-row seat to deploy it. We are seeking a visionary Head of AI & Innovation to lead the transformation of Anthropic’s Finance function through pioneering Claude AI deployment. In this role, you will set the strategic vision, build and coach a high-performing team, and partner with Finance, Engineering, and Anthropic’s own product and research teams to create a Claude-powered Finance ecosystem that serves as an industry-defining model for AI-enabled operations.

This is a rare opportunity to build at the intersection of cutting-edge AI and enterprise finance — not just adopting AI, but pioneering what Finance AI looks like at scale with unprecedented access to the teams that build the models. You will own the Finance AI program end-to-end: from roadmap to production deployment, from governance frameworks to community building, and from employee enablement to enterprise scale. The ideal candidate brings deep Finance and Big 4 advisory experience and is a recognized thought leader in the industry — someone who shapes how the profession thinks about AI adoption, not just someone who follows it.

Responsibilities:

Vision & Strategic Leadership

  • Define and own the multi-year vision for a Claude-enabled Finance ecosystem, translating Anthropic’s AI capabilities into measurable operational impact across all finance and accounting business processes and systems
  • Establish Finance Systems as the internal gold standard for AI-powered enterprise operations, positioning the team as a model for AI adoption across the broader organization
  • Partner closely with Anthropic’s internal product and research teams to surface Finance use cases, influence model capabilities, and bring cutting-edge AI research into production finance workflows
  • Represent Finance AI priorities in cross-functional forums and with executive leadership, communicating progress, risks, and strategic direction with clarity and conviction
  • Serve as Anthropic’s external voice on Finance AI — engaging with Big 4 advisory networks, industry working groups, and peer communities to shape how the profession approaches AI-enabled Finance transformation

Team Leadership & Development

  • Hire, mentor, and develop a small but high-impact team of Finance AI Product Managers and Engineers, building a culture of experimentation, ownership, and continuous learning
  • Establish clear roles, career paths, and operating rhythms for the AI & Innovation pod, ensuring team members grow into industry-leading Finance AI practitioners
  • Partner with the Finance Systems PMO Lead and Head of SOX/IT Controls to ensure AI initiatives are sequenced, governed, and delivered in alignment with the broader transformation portfolio

Product Development & Roadmap

  • Own the Finance AI product roadmap — prioritizing use cases, managing the backlog, and driving features from ideation through production deployment
  • Lead intake, triage, and routing of bug reports, defect tracking, and enhancement requests across the Finance AI platform, maintaining clear visibility into product health and velocity
  • Oversee UX and design quality of Claude-powered Finance tools, ensuring solutions are intuitive, delightful, and trusted by Finance end-users
  • Build and own a Finance AI Agent Registry — a centralized portfolio strategy for all deployed agents across Finance and Enterprise systems, defining how agents are discovered, evaluated, scaled, and retired as the agent landscape matures
  • Lead evaluation and selection of Finance-specific AI SaaS tools, partnering with BizTech and Data Infrastructure on architecture and integration decisions

Data Foundation & Infrastructure

  • Partner closely with Data Infrastructure and the Finance Analytics & BI team to define the structured data layer powering AI-driven reporting, anomaly detection, and decision support — ensuring Finance AI is built on a reliable, well-governed data foundation
  • Ensure AI agents are built on reliable, audit-ready data foundations (SQL/deterministic retrieval layer) before applying AI synthesis and interpretation on top
  • Collaborate with Finance Systems Engineers to design and maintain data pipelines, BigQuery environments, and integration architectures that support safe AI experimentation and production deployment

Enablement, Governance & Community

  • Design and lead Finance AI onboarding and employee journey programs — building the training curriculum, certification pathways, and ongoing education cadence that drives adoption across the Finance organization
  • Partner with the Internal Audit and Governance team to develop Finance-specific AI usage policies, responsible AI frameworks, and audit-ready documentation for deployed agents
  • Enforce SOX-compliant AI governance frameworks in close partnership with the Head of SOX/IT Controls, ensuring AI deployments meet ITGC requirements and external audit standards
  • Organize internal innovation events, creating space for experimentation, cross-functional collaboration, and identification of the next generation of AI use cases
  • Build a Finance AI peer community — hosting internal and external events, publishing learnings, and deepening Anthropic’s relationships with Big 4 advisory networks and Finance AI industry forums to advance the field and strengthen Anthropic’s brand as an AI-first organization

You may be a good fit if you:

  • Have 15+ years of experience spanning Finance operations, enterprise technology, and product or program leadership, with a demonstrated track record of leading large-scale transformation initiatives
  • Have led AI, automation, or digital transformation programs in a Finance or Enterprise context, with hands-on experience taking AI/LLM solutions from prototype to production
  • Possess deep Finance domain knowledge across multiple functions (OTC, P2P, FP&A, accounting, close) and understand how AI can materially change how Finance work gets done
  • Bring established relationships and active engagement within Big 4 advisory communities (Deloitte, PwC, EY, KPMG) and are recognized as a thought leader in Finance AI or enterprise Finance transformation
  • Have built and developed high-performing technical and product teams, with a coaching mindset and the ability to grow early-career practitioners into domain experts
  • Are a skilled cross-functional leader with a proven ability to influence and align stakeholders across Finance, Engineering, Data, IT, and executive leadership
  • Bring strong product instincts — you think about user experience, adoption, and measurable outcomes, not just technical capability
  • Have experience working in high-growth or scaling technology companies, and understand the compliance, governance, and control requirements of a maturing enterprise Finance function
  • Are deeply curious about AI’s potential, excited to work directly alongside the teams building frontier models, and motivated by the opportunity to define what Finance AI looks like at Anthropic and for the industry

Strong candidates may also have:

  • A background in Big 4 advisory (Deloitte, PwC, EY, KPMG) in a Finance transformation, Finance systems, or AI/digital practice — with an active professional network and a track record of publishing, speaking, or advising in the space
  • Hands-on experience building with LLM APIs (including Claude) or deploying AI agents in enterprise Finance workflows
  • Familiarity with SOX 404(b) compliance, ITGC controls, and the intersection of AI governance with financial audit requirements
  • Experience with Finance data platforms (BigQuery, Snowflake), ETL pipelines, and the data architecture patterns that underpin reliable AI-driven Finance reporting
  • Background in ERP ecosystems and the systems integration challenges of deploying AI across multi-system Finance stacks
  • Experience with change management frameworks and organizational enablement programs at scale — particularly driving adoption of novel tooling in Finance functions
  • Conference speaking, published writing, or active participation in Finance AI industry working groups — with a presence that elevates Anthropic’s reputation in the field

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:
$315,000—$365,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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