Finance Systems Engineer, Tax

Anthropic$205K — $270K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in tax technology or finance systems engineering.
  • Hands-on experience with billing platforms and tax systems integration.
  • Proficient in Python with a focus on production-level quality and testing.
  • SQL proficiency for data validation and reconciliation.
  • Experience with SOX-compliant data flows and control totals.
  • Ability to work independently in a dynamic environment.
  • Strong communication skills for direct collaboration with vendors and teams.

Responsibilities

  • Own and enhance the integration between billing and tax systems.
  • Lead tax engine implementation for ERP-related purchasing flows.
  • Develop tax-specific internal tools and data pipelines.
  • Manage the connection points between tax tools and data infrastructure.
  • Create SOX-aware tooling for tax data flows to ensure audit readiness.
  • Design user-friendly tools that leverage AI for tax operations.
  • Coordinate with cross-functional teams to maintain tax stack effectiveness.

Benefits

  • Hybrid work policy with at least 25% office attendance.
  • Visa sponsorship available for successful candidates.
  • Encouragement for applicants from diverse backgrounds and underrepresented groups.
Full Job Description
About the Role

Anthropic's Tax Technology function sits inside Finance Systems and owns the systems that make every revenue and purchasing motion bookable, taxable, and auditable from day one. We're looking for a tax technologist who builds: someone who already understands how tax systems work and who writes the integrations, tooling, and production code that connect them to Anthropic billing, ERP, and data warehouse systems.

You'll build across all of tax, including indirect tax, corporate income tax and provision, withholding tax, R&D credits, and transfer pricing. You'll be a foundational hire on a small team, working directly with the Tax Technology Lead and be a trusted partner to our cross functional partners in Tax, Data Science, Billing Engineering and Product, among others. You'll be the key Anthropic tax technology technical resource building and hardening the tax-specific tooling and audit-ready evidence pipelines that allow the function to keep pace as the business grows.

This role is expected to take on more ambitious projects over time, including using Claude to automate tax work end to end and building internal products that are both high impact and seamless to use for the Tax team.
Key responsibilities
  • Own tax-related changes in the billing codebase and the billing-to-tax-engine integration, including withholding tax considerations
  • Lead the AP tax engine implementation across ERP-connected purchasing flows: data migration, integration pipelines, parallel-run reconciliation, e-invoicing and go-live validation
  • Build and iterate tax-specific products and internal tooling across the full tax stack, including indirect tax reconciliations, provision and research credit data pipelines, transfer pricing datasets, withholding tracking, and exemption and validation tooling
  • Own the production connection points between the tax stack and our data infrastructure, feeding the central ingestion layer
  • Build SOX-aware IPE and control-total tooling on tax data flows: ingestion control totals, source-to-target tie-outs, and evidence pipelines that stand up to external audit
  • Design and build tooling that applies Claude to tax work and gives non-technical tax colleagues self-serve access to data, calculations, and evidence
  • Serve as the technical owner for vendor implementation handoffs, in the room during the build and accountable after go-live
  • Partner with Billing Engineering, Data Platform, Tax, Treasury and Product to keep the tax stack optimized and compliant as new products and jurisdictions come online
Minimum qualifications
  • Hands-on experience building or owning production integrations against billing platforms, ERPs, or enterprise tax or finance systems
  • Tax-systems fluency in at least one domain (indirect tax engines, corporate tax provision or compliance tooling, withholding, research credit, or transfer pricing systems), gained at a tax-technology practice, a tax software vendor, or an in-house tax-systems team
  • Proficiency writing production-grade Python, with testing and code-review discipline
  • SQL proficiency sufficient to build reconciliations and validate data end to end
  • Experience building or operating SOX-aware data flows, such as IPE, control totals, or documented and testable pipelines
  • Ability to work independently in a constantly changing and fast paced environment
  • Ability to work directly with vendors, auditors, engineers, and the tax team without an intermediary
Preferred qualifications
  • 7+ years in tax technology, finance systems engineering, or a closely related field
  • Experience owning changes inside a shared production codebase alongside a product engineering team
  • Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable
  • Breadth across multiple tax domains, including indirect (sales/use, VAT/GST), corporate income tax and provision, withholding, research credit, and transfer pricing data
  • Experience building internal tools or interfaces for non-technical finance or tax users
  • Experience building with LLMs or applying AI to finance or tax work
  • Marketplace, usage-based, or platform billing exposure
  • Experience taking over vendor-built systems and hardening them for long-term ownership
  • UAT design and change-management experience on finance-systems implementations
  • Record of novel AI applications for foundational tax tasks or problems


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:

$205,000-$270,000 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 [redacted].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.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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