Product Engineer, Business Operations
Fluidstack8 hours ago
Base Salary
$224k - $300k/yr
Responsibilities
- Build software for recruiting, interviewer capacity, offer onboarding, and hiring workflow automation.
- Create cash-demand forecasts, payment schedules, capital pipelines, and financing proof chains from procurement and construction data.
- Parse contracts and related documents into structured obligations, prices, deadlines, penalties, and service-level agreements.
- Develop continuous-close workflows that automate capitalization, depreciation, approvals, reconciliations, and generated work.
- Embed with finance, treasury, accounting, legal, recruiting, and people teams to turn expert processes into production software.
- Identify problems, design solutions, and ship features autonomously under demanding deadlines.
Requirements
- Production experience with Go, Python, or TypeScript and the ability to learn additional languages as needed.
- Experience building features with OpenAI, Anthropic, or open-weight model APIs, MCP servers, and agentic frameworks.
- Daily experience using AI coding tools such as Claude Code and Cursor.
- Demonstrated ability to ship quickly while creating maintainable foundations for other engineers.
- Ability to build credibility with finance, legal, recruiting, auditing, or other non-engineering experts and drive software adoption.
- Strong product judgment and experience creating intuitive interfaces and workflows.
- Preferred experience with ERP and fixed asset accounting, FP&A, cash forecasting, capital planning, structured finance, treasury operations, contract lifecycle systems, ATS or HRIS integrations, or LLM extraction from legal and financial documents.
Benefits
- Competitive total compensation package including cash and equity.
- Health, dental, and vision insurance.
- Retirement plan.
- Generous paid time off policy.
Tech Stack
Categories
Product Engineering
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.