Principal Quality Engineer
About the role
We are modernizing our approach to software quality by shifting from a centralized manual QA team to a model where delivery teams own quality end-to-end, supported by embedded Quality Engineers. We are seeking a Principal-level technical leader to drive this transformation as a hands-on individual contributor.
Responsibilities
Set the technical direction for quality across Dealpath's engineering organization — defining the test pyramid strategy, coverage thresholds, release criteria, and tooling choices that shape how every delivery team ships.
Build and own Dealpath's AI evals practice, creating the infrastructure, metrics, and regression frameworks that ensure our agentic product features meet a rigorous quality bar.
Champion AI-forward quality engineering by using AI tools consistently in your own work and coaching the QE community to do the same: writing better test code, reviewing AI-generated output critically, and applying AI to accelerate evaluation workflows.
Drive the production-quality feedback loop — owning blameless postmortems, RCA practices, and the org-wide quality scorecard that makes escape rates and systemic issues visible to engineering leadership.
Coach and grow embedded Quality Engineers across delivery teams, running the QE community of practice and setting the hiring bar for every QE role.
Influence without authority — driving practice adoption across multiple teams through technical credibility, shared tooling, and principled frameworks that become the standard.
Collaborate closely with VP Engineering and Engineering Managers to evolve Dealpath's quality culture, infrastructure, and long-term engineering strategy.
Qualifications
7+ years in Quality Engineering, SDET, or equivalent software engineering roles with a quality focus.
Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
Proven track record driving quality transformation in a startup or growth-stage SaaS environment.
Hands-on experience building evals for LLM-based or agentic features.
Deep proficiency in at least one modern automation framework (Playwright, Cypress, or similar).
Track record of delivering quality programs for enterprise SaaS products, ideally in B2B, FinTech, or PropTech.
Strong organizational skills with the ability to balance technical depth and systemic quality improvement.
Consistent, hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude, or similar). Uses AI regularly, validates output before shipping, and can coach engineers to build the same disciplined habits.
Perks & Culture
Medical, dental, & vision insurance coverage
Hybrid 3-days in office policy in San Francisco
Flexible Spending Account
Paid Parental Leave
401(k)
Company-sponsored commuter benefits
Catered lunches and snacks
Monthly wellness reimbursement
Pay Range
The estimated pay range for San Francisco candidates for this position is $180,000 - $230,000 base.
Company Overview
Dealpath is the world’s largest and most trusted AI-powered operating system for real estate investing. To date, the platform has powered more than $10 trillion in transactions, partnering with hundreds of firms, including leading global institutions such as Blackstone, Nuveen, LaSalle, CBRE IM, MetLife, Newmark, New York Life, UBS, Manulife, DWS, and Principal. By bringing together the only private exchange for institutional real estate listings, investment data, and intelligent execution workflows into a single platform, Dealpath enables firms to capture more opportunities, make faster decisions, execute efficiently, and deliver superior returns. Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital.