Director, Internal Audit - Compliance
Intern
turbopuffer is looking for a Controller who wants to evolve the finance function at a fast growing startup. This year we're migrating our ERP to an AI-native platform, rebuilding our billing stack, and putting agents to work across all of our projects. You'll be working directly with our CFO.
what you'll do:
own month end close and reporting including variance analysis & statement prep
lead our ERP migration to an AI native platform; full oversight over system design & config
expand the AI orchestration layer for finance → repeatable work goes to agents
become our default billing systems lead, you'll oversee billing ops day to day
oversee multi-country payroll and benefits, commissions and equity management
coordinate w/ external providers to ensure global corporate and sales tax compliance
maintain an audit ready posture while ensuring appropriate controls & memos are in place
coordinate agents to run but ultimately own transactional accounting
collaborate on financial planning and maintain rolling forecasts
roll up your sleeves and dive in to various ad hoc projects…no shortage of those
must have:
CPA w/ deep US GAAP accounting experience, ideally forged in an audited environment
progressive experience at previous high-growth tech startups
ability to rapidly context shift and rebalance priorities based on business needs
thrives on delivering consistent results in extremely fast paced environments
proven track record of deploying & configuring AI agents to automate complex tasks
nice to have:
deep understanding of cloud architecture & associated billing + margin analysis
proficient in multi-entity rollups, international expansion
sql, python or general coding experience
tpuf is hardcore & whimsical. we value:
overstep > understep
show > tell
complexity is earned
showing up as part of our customer’s team
making stuff easy to react to
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turbopuffer develops a search engine that combines vector and full-text retrieval on object storage. It keeps durable state in lower-cost object storage and uses NVMe and memory caches for active data, allowing the system to scale across very large document collections. AI companies use turbopuffer for semantic and keyword search across code, web pages, transcripts, documents, media, and agent memory. Its architecture is designed to provide fast warm queries, economical storage, horizontal scale, and a simple managed service for workloads ranging from small indexes to billions of records.
United States or Canada
Several countries — check the posting.Remote
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