Senior Product Owner

PropertyPilot•Wall Township, NJ

About The Position

PropertyPilot is an early-stage, AI-powered real estate platform that aims to unify fragmented property data into a single, mobile-first experience for investors. The platform integrates public records, crowdsourced documents, market signals, and AI-driven workflows to provide professional-grade intelligence. The company is addressing significant challenges in the real estate industry, such as data fragmentation and inefficiency, by leveraging AI and a crowdsourced approach. PropertyPilot is backed by an experienced SaaS founder and a seasoned team, focusing on rapid iteration and user acquisition to define a new category at the intersection of AI, data, and real estate.

Requirements

8+ years of product management experience, with at least one prior tour as the senior-most product voice in a startup of fewer than 100 people.
Demonstrated PRD authorship that drove real engineering execution.
Track record owning a roadmap end-to-end and defending it against a CEO, a board, or a senior sales leader.
Hands-on customer discovery experience — personally running user interviews, synthesizing insights, and changing roadmap decisions.
Hands-on pricing and packaging experience — owning a tier structure, a credit model, or an enterprise contract design.
Hands-on product analytics fluency — Mixpanel, Amplitude, or equivalent; defining events, building funnels, interpreting retention.
Demonstrated AI-native product transformation — using LLM tools across PRD authoring, discovery synthesis, and analytics with measurable velocity and quality outcomes.
Ability to build executive-level AI agents that synthesize, not just automate.
Strong understanding of Scrum ceremonies, backlog refinement, Definition of Ready enforcement, and the boundary between product (the what) and engineering (the how).
Excellent executive communication — board memos, investor updates, customer narratives, and roadmap defenses explained to non-technical and technical audiences alike.

Nice To Haves

Proptech, real estate data, geospatial, SaaS data products, or marketplace experience.
Prior founding-team experience or "PM #1 at a Series A" experience.
Experience with credit-based or subscription monetization models in regulated industries.
Experience taking a VC- or PE-backed company through a successful exit (acquisition, IPO, or major liquidity event), including product-side due diligence.
Certified Scrum Product Owner (CSPO) or equivalent certification.

Responsibilities

Set Product Strategy and Sequence the Roadmap: Own a multi-year product strategy tied to the 9-Phase business roadmap, including phase sequencing, feature/discovery/platform mix, build-vs-partner decisions, and presenting roadmap defenses to the Executive Leadership team.
Author the PRDs and Own the SDLC Partnership: Author PRDs for every project using the mandatory 9-section template, leverage AI to draft initial sections, generate user stories, and stress-test acceptance criteria. Coordinate PRD approval stage gates, lead refinement sessions, make scope and priority trade-off decisions within sprints, and shield the team from mid-sprint scope changes.
Partner with Engineering leadership on the SDLC end-to-end: including backlog refinement, Definition of Ready, sprint planning, sprint review, Definition of Done, and release gates, owning the 'what' and the 'why'.
Run Customer Discovery as a Discipline: Personally interview real estate investors, lenders, and agents, synthesize qualitative insights into roadmap decisions, and build team-trusted discovery rituals.
Define, monitor, and act on product KPIs using Mixpanel: including engagement funnels, search behavior, feature adoption, credit consumption, and monetization conversion, using these signals to inform backlog priorities.
Maintain Mixpanel dashboards for sprint reviews and stakeholder updates, using analytics data to validate feature acceptance and measure success metrics.
Own Pricing, Packaging, and Monetization Strategy: Own the pricing tier design and credit-pack monetization model, coordinate with the CEO on enterprise contract structures, monitor subscription tier performance and revenue metrics, and iterate on pricing.
Own Organization-wide Product AI Strategy and the Product Analyst Agent: Own how AI (Claude) is embedded across the product function, including PRD drafting, user-story generation, acceptance criteria refinement, competitive analysis, customer-feedback synthesis, release notes, and stakeholder communications.
Build and maintain a Product Analyst Agent: a digital counterpart that handles routine analytical and generative product work, ensuring its accuracy, discretion, context, and continuous improvement.
Champion Product externally with Customers and Investors: Act as the product face to customers, partners, and investors; co-author board materials on product KPIs and AI adoption ROI; defend the roadmap publicly and absorb feedback.