Associate Product Manager

present of AI; United States; On-site; USD 70,000 - 100,000; Full time

Job summary

Tint, an AI-native operating system for insurance, is hiring a product-focused role to monitor data, reproduce issues, and ensure tickets and notes stay accurate. You will verify engineering output against acceptance criteria and keep changelogs current.

You’ll collaborate with ops and partners to close gaps, write clear bug reports, and help elevate AI-assisted capture and summaries while staying human in judgment.

Qualifications

• Experience in roles with real standards and stakes, e.g., support, QA, ops, coordination, or analytics.
• Curiosity and discipline to follow through and close loops with ops and partners.
• Ability to write clear bug reports and maintain thorough records.

Responsibilities

• Watching product data, tracking and reproducing issues, checking engineering output against acceptance criteria, and keeping tickets and written records accurate.

Skills

Issue tracker ownership

QA against criteria

Log reading

Dashboard reading

Brief writing

Task follow-through

Job description

This is a first product role supporting one large, operationally complex program. The work centers on watching product data, tracking and reproducing issues, checking engineering output against acceptance criteria, and keeping tickets and written records accurate. A strong candidate has some experience where standards and stakes were real, such as support, QA, ops, coordination, or analytics, and shows curiosity plus the discipline to follow through and escape cleanly.

How it fits the AI era

Much of the note taking and summarizing is already automated, so the human job is keeping one correct record, reconciling what was agreed against what was written, and keeping changelogs current. AI speeds up capture and drafting but does not decide what is true or notice when a flow is confusing to a customer. The role stays human in judgment, investigation, and closing the loop with ops and partners.

How it builds AI experience

Working at an AI native insurance platform gives exposure to automated capture and summaries that still need human verification, plus data feeds and observability tools used to answer why something happened. A candidate can build this by practicing with issue trackers as an owner, reading logs and dashboards, and learning basic insurance terms like policy, premium, and cancellation. Testing work against acceptance criteria and writing clear bug reports builds the same habits.

Worth showing

• Issue tracker ownership
• QA against acceptance criteria
• Log and dashboard reading
• Clear brief writing
• Following through on tasks

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Tint

An AI-native operating system that lets tech platforms and insurance agencies launch and run insurance programs, from pricing to claims, without building the plumbing themselves.