Program Manager, Accounting Operations & Strategy

Posted 11 Days Ago
2 Locations
In-Office
230K-300K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
Owns accounting’s global operating rhythm, including goal setting, planning calendars, leadership programs, events, communications, organizational metrics, employee experience initiatives, contractor coordination, knowledge management, and team culture programs. Partners with Accounting leadership, People, Finance Systems, and regional hub leads to improve processes, coordinate distributed teams, and drive follow-through across recurring programs.
Summary Generated by Built In
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 Program Manager to join our Accounting organization and help it run as one global team. Accounting is scaling at an unprecedented pace across multiple hubs, and the goals, rhythms, programs, and people that make up the team need to stay connected as we grow. In this role, you will own that connective tissue: the annual goal-setting cycle, the leadership team’s operating cadence, org-wide events and internal communications, and the programs that make a distributed team feel like one. 

You will partner with Accounting leadership, the People team, Finance Systems, and hub leads. This is a hands-on role with a lot of range: part chief of staff, part program manager, part culture builder.

Responsibilities Goals and operating rhythm
  • Run the annual goal setting process and the reporting that tracks progress against those goals.
  • Look at how the org actually operates (meetings, handoffs, planning cycles, decision making) and fix what isn't working.
  • Maintain one org-wide planning calendar that shows close, audit, and team milestones alongside company-wide and team events, so leaders can see the pressure points and plan around them.
  • Build and maintain a simple set of org health metrics (attrition, engagement scores, hiring pipeline, training completion, survey trends) and report on them regularly.
Leadership and org-wide events
  • Run our extended leadership team (XLT) program, including agendas, meetings, follow-ups, and action items.
  • Own planning and agenda for the annual offsite and run the quarterly team all-hands.
  • Write the internal updates: a regular team newsletter, plus talking points when leadership needs to explain a change to the whole org.
People and culture
  • Coordinate projects across the org that support employee experience programs.
  • Partner with the People team to roll out training and development programs for Accounting.
  • Review team survey results, identify the themes, and build action plans to address the feedback. Follow through and report back to the team.
  • Run hub programs, including visit and rotation programs, local hub events, and meeting norms that work across time zones, so we feel like one global team.
  • Run recognition and team rituals: wins, milestones, anniversaries, and peer recognition, especially across hubs.
Team operations
  • Support contractor management, including onboarding, tracking, and coordination with the right partners.
  • Keep the team's knowledge base current: wiki, org charts, role descriptions, and key process docs.
  • Keep the team calendar accurate so everyone knows what's coming.
Preferred qualifications
  • 7+ years in program management, operations, chief of staff, or strategy roles. Experience inside a finance or accounting org is a plus, but not required.
  • A track record of running recurring programs end to end and getting people to follow through without formal authority.
  • Good judgment about what matters and what doesn't. You can handle a lot of moving pieces without dropping them.
  • Clear, direct writing. You can brief a senior leader in a few sentences.
  • Comfort with confidential information and sensitive people topics.
  • Experience supporting distributed or global teams.
  • You're organized, but you also know when a process is getting in the way and should be simplified.

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.

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.

Skills Required

  • Bachelor's degree or equivalent combination of education, training, and experience
  • Relevant field of study demonstrated through coursework, training, or professional experience
  • 7+ years of experience in program management, operations, chief of staff, or strategy roles
  • Experience running recurring programs end to end and driving follow-through without formal authority
  • Strong judgment and ability to manage multiple moving pieces effectively
  • Clear, direct written communication and ability to brief senior leaders concisely
  • Ability to handle confidential information and sensitive people topics
  • Experience supporting distributed or global teams
  • Ability to simplify processes when they become ineffective or burdensome

Anthropic Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.

  • Healthcare Strength — Health coverage for employees and dependents is described as comprehensive across medical, dental, and vision, alongside robust mental-health resources. Feedback suggests this breadth, paired with life and income protection, is a standout element of the package.
  • Parental & Family Support — Family-building support includes inclusive fertility benefits and an extended paid parental leave policy. Feedback suggests these programs are positioned as company‑wide and accessible rather than one‑off perks.
  • Wellbeing & Lifestyle Benefits — Everyday support spans wellness/time‑saver stipends, education and home‑office stipends, commuter benefits, daily meals/snacks, and relocation assistance. Feedback suggests these perks meaningfully supplement core pay and healthcare.

Anthropic Insights

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The Company
HQ: San Francisco, California
2,500 Employees

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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