Qualia Verified

Real Estate Tech (Proptech), SaaS

Senior Product Manager, Search & Exam

Austin, Texas, United StatesRemoteFull TimeSeniorPosted 2 days ago

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Role summary

Qualia is seeking a Senior Product Manager, Search & Exam to own a critical part of their AI-powered real estate closing platform. This role focuses on improving the quality and accuracy of AI-drafted expert work by defining success metrics, building evaluation frameworks, and driving product iteration. The ideal candidate has 5+ years of experience in product management, specifically shipping AI/ML features where output quality is paramount. Strong quantitative skills (SQL, Python, statistics) and experience with AI agents and tooling are essential. This role requires a deep understanding of AI evaluation and a willingness to work closely with experts in a complex domain. The position is open to remote candidates, with a preference for Austin, TX.

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year.

WHAT YOU'LL WORK ON

Real estate closings run on expert judgment work — reading recorded documents, reconciling records, deciding what has to be fixed before a deal can close. It takes hours per file, the rules differ by state, and it has stayed manual for decades.

Qualia Clear does this work with AI today, on real transactions. Our AI reads the documents, drafts the work product, and hands it to a professional to review and use.

You'll own a defined slice end to end alongside an existing PM — and you'll own the hardest part of any AI product: knowing how good the output actually is, why it fails when it fails, and making it measurably better release over release.

RESPONSIBILITIES

Own a slice of the roadmap end to end: scoping, release, adoption, and iteration

Own output quality as a measurable thing — define what "correct" means for AI-drafted expert work, build the evaluation and scoring approach that proves it, and defend the numbers

Build the error taxonomy: turn thousands of user corrections into a ranked, quantified list of what the model gets wrong and what fixing each is worth

Design and run experiments — prompt changes, model changes, pipeline changes — with enough statistical rigor that the result holds up

Scope AI behavior with deep, precise requirements — the specification is the product in this domain

Build rapid prototypes to pressure-test ideas before committing engineering time

Partner with Engineering and Design to break ambitious goals into small, shippable milestones

Write tight, plain-language PRDs that frame the problem, success criteria, and context

Instrument everything you ship — accuracy, adoption, latency, and cost per run — and drive cost down without giving up accuracy

Report to executives on quality trends, roadmap, and adoption

Work with GTM, CS, and customers directly to drive adoption of what you ship

YOUR BACKGROUND THAT LIKELY MAKES YOU A MATCH

5+ years as a Product Manager building exceptional software products

Experience shipping AI or ML features where output quality was the product, not a feature of it. You've had to answer "how do you know it's working?" with data

Strong quantitative chops: fluent in SQL, comfortable in Python or a notebook, and literate in the statistics that keep you from fooling yourself — sampling, variance, significance, base rates

You've built or owned an evaluation approach — ground-truth sets, scoring rubrics, model-graded evals, regression suites — or you can clearly describe how you would

Experience building AI agents, professionally or personally. Come ready to demo one

Fluent with AI tooling (Claude Code or equivalent) as a daily working method, not a curiosity

You get what we're trying to do — how the models work, what AI changes for an industry like this — and you can get up to speed on title quickly

Comfortable working in a domain where correctness is defined by experts, not by you. You'll spend real time with practitioners learning why an answer is wrong

Hungry and proactive: you find the work, you don't wait for it

Enterprise SaaS or ERP experience; systems thinker who builds into complex, interconnected products

Exceptional written communication — tight, plain, and defensible

Knowledge of real estate, title, or escrow industries is a plus

While this role is based in Austin, Texas, we're open to exploring remote possibilities for qualified candidates. We have other physical office locations in San Francisco, California, and Concord, New Hampshire.

WHY QUALIA

Qualia is made up of incredibly bright, mission-driven coworkers who are passionate about using technology to solve real-world problems---and we're growing quickly. In order to continue building an engaging and dynamic organization, we're committed to giving everyone the support they need to do great work.

Our benefits package is designed to allow our team members to be their best selves, both in and out of the workplace. In addition to comprehensive health plans, a 401k program, and commuter benefits, we prioritize family and personal well-being through professional development, parental leave, and a flexible time off policy. Qualia offers a robust online onboarding program to train new hires, biweekly all hands meetings, and a variety of internal virtual events to keep employees connected.

We believe diverse perspectives and backgrounds are critical to building great technology, and our goal is to cultivate an environment where people feel equally valued and respected. Qualia is proud to be an equal-opportunity workplace, and we welcome applicants from all backgrounds regardless of race, color, ancestry, religion, gender identity or expression, sexual orientation, marital status, age, citizenship, socioeconomic status, disability, or veteran status.

By submitting your application, you acknowledge and agree to the collection, processing, and use of your personal information as described in our Employee Data Privacy Notice.

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