Member of Technical Staff - Full Stack, Credit

Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures, Page One and Microsoft. The Role We’re hiring a Member of Technical Staff – Full Stack, Credit to help build Stuut’s next generation of credit products, including trade credit, receivables financing, payment plans, and related financial workflows. You’ll work closely with product, data, and operations to turn messy operational and financial data into trustworthy credit state and deterministic decisions. You’ll build systems that understand what is owed, what has been paid, what is disputed, what counts toward exposure, and how those facts should drive credit policy. This is a high-ownership product engineering role for someone who wants to work close to the underlying financial data and build systems where correctness matters. Deep credit expertise isn’t required, but you should have experience building financial systems and be excited to develop deep expertise in credit. Your work will help make Stuut’s credit decisions explainable, auditable, and reliable as we expand the platform. What You’ll Do Build and own core systems powering Stuut’s credit and financing productsDevelop reliable exposure, balance, eligibility, and limit calculations across complex financial dataDesign deterministic policy and decision systems that make credit outcomes explainable and auditableModel financial state across invoices, payments, credits, disputes, orders, and related eventsBuild systems that safely handle delayed, duplicated, missing, or conflicting upstream dataCreate controls for reconciliation, idempotency, stale state, overrides, corrections, and failure recoveryIntegrate external credit data and internal behavioral signals into decision workflowsPartner closely with product, data, and operations to translate real customer workflows into scalable product behaviorBuild reusable credit-domain primitives without introducing customer- or ERP-specific logic into the core system You Might Be a Fit If You… Have experience building credit, lending, payments, accounting, or other financial systems where correctness and controls matterHave built deterministic policy engines, decision systems, ledgers, balance calculations, or exposure systemsUnderstand concepts like reconciliation, idempotency, audit trails, data provenance, and failure recoveryAre comfortable reasoning through incomplete, delayed, duplicated, or contradictory financial dataThink explicitly about state transitions, overrides, corrections, exceptions, and the difference between confirmed and pending financial stateHave strong systems design and product engineering judgment and can trace a financial result back to exactly how it was producedWant ownership of a difficult product area and naturally question a number until you understand where it came fromEnjoy building explicit, deterministic systems that can eventually support many different financial productsAre highly proficient in Python and have experience working with technologies like Postgres, Snowflake, and AWS; experience with DBOS is a plusThrive in a high-growth startup where engineers work closely with the product and own problems end to end Compensation Top-of-market salary and equity packageBenefits (for U.S.-based full-time employees)Medical, dental & vision insurance coverage for you401(k) & MatchEquityFlexible PTOParental Leave Compensation Range: $185K - $250K