Head of Consolidations & Intercompany

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.

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. As we scale, our corporate structure and the flows between our entities are growing more complex. We are looking for a Head of Consolidations & Intercompany to own and expand the consolidation program and the group-level intercompany framework — partnering closely with the Head of Corporate Accounting on the strategic direction of this pillar.

This is a builder's role. You will come in, get your hands dirty, design the process, document the flows, and then codify and scale it — building out a team to run it consistently. You will be a player-coach first: doing the work, then writing the operating procedures and hiring against them.

Key responsibilities

Minimum qualifications

• Own the consolidation program. Design and run the multi-entity, multi-currency consolidation process in our system of record (Workday), driving a repeatable, scalable close.
• Expand the intercompany framework. Architect a group-level intercompany framework — elimination logic, transaction-flow documentation, and sources of truth — designed to absorb new entities and acquisitions.
• Scale Allocations framework - design and implement a scalable allocation model across the organization
• Advise and consult on corporate structure. Partner with the business, tax, and legal on org structures and transaction flows; advise on optimal structuring that serves close and reporting needs, and bring clarity where ambiguity exists through flow diagrams and a single source of truth.
• Streamline intercompany operations. Rationalize pay-on-behalf-of and collect-on-behalf-of structures; redesign and automate the cost-allocation process.
• Partner with tax and treasury. Work with tax on transfer-pricing operationalization; co-own FX policy and operating procedures and partner with treasury to optimize payment flows and reduce FX exposure.
• Set the vision and build the team. Partner with the Head of Corporate Accounting on strategic direction for the pillar, and build out the consolidation and intercompany team to run efficiently and consistently.
• Personal, end-to-end ownership of a multi-entity, multi-currency consolidation close in a system of record, at real entity scale.
• Demonstrated experience building a repeatable intercompany framework from scratch — not maintaining an inherited one.
• Track record of building structure where none existed; comfortable operating lean and resolving ambiguity into sources of truth.
• The seniority and confidence to own pillar-level direction, operate as a player-coach, and codify and hand off via SOP while hiring a team.

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.

• Workday Financial Consolidation experience, or strong ERP implementation and design experience transferable across platforms.
• Substantive partnership with tax on transfer pricing and with treasury on FX policy and payment-flow optimization.
• Experience through an acquisition-heavy period, integrating acquired entities into a group framework.
• System-specific Workday configuration (transferable from any major consolidation platform).

$300,000—$360,000 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.