AI Product Manager
K1X
AI Product Manager
K1X
Automates investment tax data extraction
K1X · United States (Remote) · — · Posted 2026-10-28
Workplace: remote
About This Role
K1x turns tax documents (K-1s, K-3s, state schedules, 990s, and a growing range of other filings and
statements) into filing-grade structured data for CPA firms, family offices, and institutional investors.
Accuracy and rework are the first thing our buyers ask about, and the models, prompts, and rules that
produce each extracted value are the product surface that answers them. That surface needs a
product manager fluent in how ML systems behave: how they are evaluated, where they fail, what
they cost, and when to replace a component rather than tune it. This role is the product manager for
the AI team: how its models and services are supplied to every K1x product line, partnering with the
Head of AI on delivery and with the other product managers on where those capabilities land.
What You'll Do
The AI roadmap. A rolling six-to-twelve-month roadmap for extraction coverage, accuracy, and the
platform underneath them, sized against real team capacity, sequenced with dependencies made
explicit, and re-planned when the evidence changes. You represent it in portfolio planning alongside
the other product roadmaps.
The demand queue. Intake and prioritization of new document types, forms, and fields requested by
Product, Tax Content, Sales, and Client Success. You rank the queue with a defensible framework
(RICE, WSJF, Kano, opportunity scoring, voice-of-customer synthesis), make sure each item arrives
with the definition and test data needed to validate it, and explain the ranking to those who did not get
their item first.
Accuracy as a product metric. Own how accuracy is defined and reported for each audience:
executive, customer, product, engineering. Translate model-level measures (per-field precision,
coverage, straight-through rate) into what a user experiences: what we missed, what they had to
touch, how many touches it took to reach a filing-ready result. Own the recurring accuracy report.
Product requirements for model and vendor decisions. Engineering evaluates and recommends
what serves each stage of the pipeline: a frontier model, one of our own models, or a vendor service.
You supply the product side of that decision: which accuracy, cost, and latency thresholds actually
matter to customers, the business case and budget for a change, and the acceptance criteria a
release must clear. You keep the decision record so the reasoning survives.
Capacity and the tax calendar. Filing peaks in September, October, and November drive usage; a
tax-year release lands every January. You plan engineering reserve around the peaks, own scope and
dates for the tax-year release, set the defect-intake service level with Client Success and QA, and
keep proof-of-concept work time-boxed.
The correction loop. Users correct extraction output inside our products. You partner with those
product managers and UX so corrections become a usable signal with field-level provenance, and over time a confidence-driven review experience.
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K1x is a fintech offering an AI-powered SaaS platform that automates tax compliance for alternative investments. It automatically extracts, distributes, and manages data from complex tax forms like K-1, K-3, and 990, with features such as Digital K-1 and rapid data extraction, and it integrates with major tax software through a subscription model. The platform differentiates itself with patented AI automation and deep tax-domain expertise, plus its ability to connect investors, advisors, tax software, and government authorities. Its goal is to digitize and streamline investment tax reporting to reduce manual work, speed up filings, and lower costs and risk for clients.
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