Job Opportunities API

Reports to: Director of Product Management, Automation Platform Location : First Priority:  Candidates based in  Kansas City  for a  hybrid  schedule. Second Priority:  Candidates residing anywhere within the  United States  for a  remote  role. About Ottimate Ottimate is an AI-native accounts payable (AP) automation and payments platform serving mid-market, multi-location operators across hospitality, healthcare, grocery and retail, and client accounting services (CAS). We help finance teams capture, code, approve, and pay invoices with AI handling the repetitive work — across AP automation, Vendor Pay payments, and spend management. We're PE-backed (FTV Partners) and moving fast toward a more autonomous, agentic future for B2B finance. It's a great time to join and own real surface area early. About The Role You'll own data validation — the domain that determines whether an invoice can move from capture to approval without a human, and how the platform behaves when it can't. This covers invoice capture accuracy, line-item extraction, GL inference quality, confidence scoring, exception handling, and the human-in-the-loop validation experience that turns every correction into a better model. This is a senior individual-contributor role at the heart of what makes Ottimate work. You'll partner closely with ML engineering and data science to push accuracy up and rework down, and with design to make the validation experience fast and trustworthy for AP teams. Responsibilities Own the roadmap for data validation across the invoice lifecycle — capture, extraction, coding, and matching — with a clear goal of raising straight-through processing while protecting accuracy. Define how the platform reasons about confidence: when to auto-process, when to flag for review, and how to present exceptions so a human can resolve them in seconds. Partner with ML and data science on extraction and GL-inference model performance — framing the problems, defining evaluation metrics, and prioritizing the data and feedback loops that improve them over time. Design the human-in-the-loop validation experience so that every correction an AP team makes feeds back into a smarter model. Own the metrics for data quality — field- and line-item-level accuracy, exception rate, correction volume, and time-to-resolution — and use them to drive the roadmap. Get deep on the messy realities of real invoices: multi-format documents, non-PO spend, complex multi-location chart structures, and long-tail vendors. Work with customer-facing teams to understand where validation breaks down in the field, and close the gap. Requirements 5+ years in product management, with meaningful experience on data, ML, or automation products. Comfort working alongside data scientists and ML engineers — you can frame an extraction or classification problem, reason about precision/recall trade-offs, and define what "good" means in metrics. A strong sense for human-in-the-loop product design: how to balance automation with human judgment, and how to make review fast. Analytical rigor — you instrument, measure, and let data settle debates. Experience with B2B SaaS; fintech, AP/AR, document processing, or accounting-adjacent products a strong plus. Nice to Have Familiarity with OCR/LLM extraction pipelines, intelligent document processing, or confidence-scored automation. Domain knowledge in accounts payable, GL coding, or finance operations. Exerience building feedback loops that convert user corrections into model improvements. What Success Looks Like In your first year, you've measurably improved capture and coding accuracy, reduced the exception and correction burden on AP teams, and built a validation layer that customers trust enough to let more of their invoices flow through untouched. Benefits We care deeply about making Ottimate an incredible