Senior Product Manager

Ottimate

Senior Product Manager responsible for data validation across invoice lifecycle at AI-native AP automation platform. Collaborating closely with engineering and data science teams for optimal performance.

Posted 6/30/2026full-timeKansas City • Kansas, Montana • 🇺🇸 United StatesSenior💰 $145,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for data validation and automation, with a strong focus on human-in-the-loop design and metrics-driven decision-making. Proficient in collaborating with data scientists and ML engineers to enhance model performance and improve data quality.

Highest-signal resume keywords

Product ManagementData ValidationHuman-In-The-Loop DesignMetrics-Driven Decision MakingB2B SaaS Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionMachine LearningAnalytical RigorFeedback Loop DevelopmentGL CodingAccounts PayableDocument ProcessingPrecision/Recall Trade-OffsAutomationConfidence-Scored Automation

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

OCRLLM Extraction PipelinesIntelligent Document Processing

Industry Keywords

FintechAP/ARFinance OperationsB2B SaaS

About the role

Key responsibilities & impact

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

What you’ll need

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.
Familiarity with OCR/LLM extraction pipelines, intelligent document processing, or confidence-scored automation.
Domain knowledge in accounts payable, GL coding, or finance operations.
Experience building feedback loops that convert user corrections into model improvements.

Benefits

Comp & perks

Salary Range: USD $145,000-160,000 per year + annual bonus.
Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family.
Employer sponsored 401(k) with company match.
Paid Time Off (and the encouragement to use it).
Annual company retreats.
Promote from within philosophy.
Company culture that provides generous support and inspires best work.