Anthropic
See if you qualify before applying
Get your match score and top strengths in seconds.
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's infrastructure footprint — datacenters, networking, compute, and facilities — is growing rapidly, and so is the need to track, account for, and govern those assets with precision and confidence. Our finance, accounting, internal audit, and infrastructure teams need a shared, trustworthy view of every asset from the moment it's purchased through receipt, deployment, transfers, and eventual disposal — with the controls, auditability, and reporting required to operate responsibly at scale.
We've started building the systems to meet that need, and we're looking for a Staff Software Engineer to join the build and own its ongoing expansion and maintenance. You'll work across a flexible asset data model, a configurable lifecycle and approval workflow engine, reconciliation against our financial and procurement systems, an ad hoc reporting layer, and a compliance backbone of immutable audit trails, role-based access control, and segregation of duties.
You'll work closely with the infrastructure teams responsible for managing our fixed assets — understanding how they receive, deploy, move, and retire equipment — and translate those operational and technical requirements into reliable software. You'll also partner with accounting, audit, tax, finance, and procurement teams to ensure the system meets their controls and reporting needs, and you'll help establish the processes by which the team manages a rapidly growing and increasingly complex set of assets.
Build and extend the systems that track, govern, and report on Anthropic's infrastructure assets: the asset data model, lifecycle state machine, approval workflow engine, reconciliation pipelines, and reporting layer
Build durable, well-tested integrations with our financial and procurement systems as the bidirectional system of record for fixed asset events
Implement and maintain the compliance surface: immutable event logging, tamper-evident audit trails, role-based access control with least-privilege defaults, segregation of duties, and period-close controls
Build internal-facing UI for accounting, audit, and infrastructure teams to receive, transfer, and dispose of assets and to run reconciliations and reports without engineering involvement
Work closely with infrastructure teams responsible for managing fixed assets to understand their workflows and translate operational requirements into software
Partner with accounting, audit, tax, finance, and procurement teams to translate controls and reporting requirements into technical designs and to evolve them as the business changes
Establish and document processes for asset onboarding, data quality, change management, and controls scoping as the asset base grows
Proficiency in a compiled, statically typed language such as Go or Rust, with strong object-oriented design fundamentals
Front-end web development experience
Experience designing relational data models and writing SQL for systems with complex entity relationships
Experience designing and building APIs and service-to-service integrations
Experience building systems with auditability, access control, or compliance requirements
Experience translating requirements from non-engineering stakeholders into technical designs
Strong written and verbal communication
Experience with Go and TypeScript
Experience with design tools such as Figma
Experience building or operating asset lifecycle management, IT asset management, ERP, or fixed-asset systems
Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management, access reviews
Experience integrating financial or procurement systems
Experience building workflow or approval engines, RBAC systems, or report/query builders
Experience building and operating internal tools or platforms used by non-engineering teams
Familiarity with accounting concepts such as capitalization, depreciation, CIP, fixed asset registers, and period close
Experience with datacenter or network infrastructure operations
Design the lifecycle state machine that governs asset status transitions (received > in-service > out-of-service > disposed), with configurable approval gates by asset class, value threshold, and event type, and a full audit trail
Build the reconciliation pipeline that compares the asset register against our financial and procurement systems on a regular cadence, flags variances, and supports manual resolution
Implement the immutable event log and field-level change history that supports controls evidence collection, with tamper-evident retention
Build the ad hoc report builder that lets accounting generate a fixed asset register, CIP aging, or monthly reconciliation without engineering involvement
Design the RBAC and segregation-of-duties model that ensures asset receipt, approval, transfer, and disposal roles are distinct and auditable
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.
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.
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.
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.