Senior Quality Engineer - Underwriting

ABOUT BESTOW

Life insurance is one of the world's most important products. It's also one of the hardest to build, distribute, and modernize. Bestow exists to change that.

Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. Our platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. Carriers choose us to scale and operate at unprecedented speed, powered by AI and automation.

Bestow isn't selling policies. We're building the infrastructure that helps an entire industry move faster, reach more people, and deliver on its promise.

Backed by leading investors (Goldman Sachs, Hedosophia, NEA, Valar, 8VC) and trusted by major carriers, Bestow is powered by a team that moves with precision, purpose, and heart. If you want to help reimagine a centuries-old industry with lasting impact, join us.

Bestow offers flexible remote/hybrid work, meaningful benefits, equity, and substantial growth opportunities.

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The Quality Engineering (QE) team makes sure the decisions Bestow's platform produces for carrier partners are correct, not just technically functional. This role is our reference authority on underwriting correctness. You'll partner with underwriters, actuaries, product, and engineering to make sure every rule change, evidence integration, and risk classification holds up before it reaches a carrier.

We're hiring a senior individual contributor whose main qualification is deep life insurance underwriting expertise. You've spent years working in or testing underwriting operations and systems, and you can look at a decision output and know whether it's right before anyone writes a defect report. Domain depth is the requirement. Test automation skill is highly valued, but we can train it.

If you're an expert automation engineer with light insurance exposure, this probably isn't the right fit. If you're an underwriting systems expert, underwriting business analyst, or QA specialist who has lived inside rules engines and evidence workflows and wants to grow your engineering skills, then you are on the right path.

Reports to the Quality Engineering Director.

• Own test strategy and quality signal for underwriting decisioning, including rules changes, evidence ingestion, risk classification, and case outcomes.

• Design test scenarios that reflect real underwriting complexity: combinations of impairments, evidence sources, table ratings, and edge cases that generic test coverage misses.

• Validate rules engine behavior across releases, running regression on decision outcomes and not just API contracts.

• Translate underwriting requirements into testable acceptance criteria with underwriters, actuaries, and product before code is written.

• Build and extend API-level and data-level automated checks with the core QE team, growing toward full ownership of automation for the underwriting domain.

• Investigate production underwriting discrepancies and take them from root cause analysis through defect prevention.

• Serve as the QE organization's go-to authority on underwriting correctness.

• 7+ years in life insurance, with substantial time in or directly adjacent to underwriting: underwriting operations, underwriting systems analysis, new business, or testing underwriting platforms.

• Working fluency with underwriting evidence and process, including application Part 1 and Part 2, Medical Information Bureau (MIB), prescription (Rx) and motor vehicle record (MVR) data, attending physician statement (APS) handling, table ratings, not in good order (NIGO) workflows, and accelerated or automated underwriting programs.

• Hands-on experience configuring, analyzing, or testing at least one underwriting rules engine or decisioning platform (for example AURA, Magnum, FAST, or a carrier-built engine).

• SQL skills strong enough to independently verify data outcomes.

• Experience writing structured test cases or acceptance criteria and defending quality judgments to engineering and business stakeholders.

• Nice to have (we'll help you grow here): test automation in code (JavaScript/Type Script, Playwright, pytest, or similar), API testing tools and CI/CD familiarity, and annuities exposure such as suitability review, 1035 exchanges, and income rider…