Principal Product Manager, Enterprise AI

Realtor.com Careers•Austin, TX

10h•Hybrid

About The Position

Realtor.com® is seeking a Principal Product Manager to lead the product vision, strategy, and execution for Enterprise AI. This role is critical as Enterprise AI is a high-leverage investment in the company's technology portfolio. The AmpAI team is responsible for the adoption, governance, and value realization of AI across the business for over 800 engineers and thousands of business users. This position treats Enterprise AI as a product, encompassing a portfolio of platforms, developer tools, agentic solutions, and enablement programs designed to deliver compounding value. The role involves owning the product vision and roadmap for four key product lines: the LLM platform and governance layer (including model access, LLM gateway, IP protection, and acceptable use), AI-assisted software development tooling (such as Claude Code, Windsurf, and RDC OS), agentic AI solutions for various business functions (Client Revenue, Consumer Marketing, HR, Communications, and others), and the Enterprise AI enablement surface (AI Hub, Office Hours, AI Champions network, workshops, and certifications). The Principal Product Manager will collaborate closely with the Head of Developer Productivity & AI, the CTO, and senior leaders across product, engineering, data, legal, cybersecurity, finance, and go-to-market teams to shape the portfolio, drive prioritization, and ensure Enterprise AI delivers measurable business impact. As a senior individual contributor, this role also involves serving as a strategy driver for Realtor.com's broader AI community and acting as a primary liaison between RDC and News Corp Global Tech on AI strategy. This is a high-impact position for individuals who excel in ambiguous environments, think at the portfolio level, and possess both strategic product thinking and the technical fluency to engage effectively with technical professionals.

Requirements

12+ years of product management experience, with a recent focus on platform products, internal tooling, developer productivity, or AI/ML product areas at enterprise scale.
Proven track record as a strategy driver operating at the portfolio level, not just a single product, with the ability to define vision, align stakeholders, and translate ambiguity into clear, measurable outcomes.
Strong technical foundation with deep working knowledge of the Enterprise AI stack: LLM APIs and gateways (Portkey or similar), AI-assisted development tools (Claude Code, Windsurf, GitHub Copilot), RAG and agent patterns, prompt engineering, model evaluation, and AI governance and risk considerations.
Comfortable engaging with engineers, architects, and AI practitioners at a technical level.
Demonstrated success treating internal platforms or enablement programs as products, including VOC-driven prioritization, OKR-based measurement, and product health metrics that evolve over time.
Experience building and operating cross-functional product infrastructure: operating models, intake processes, governance frameworks, and reporting systems, ideally in a newly formed or rapidly scaling function.
Strong data fluency: comfortable defining metrics, building dashboards, identifying trends, and using quantitative signals to drive decisions and tell stories, especially for nascent AI KPIs where definitions are still evolving.
Skilled in stakeholder engagement and cross-functional alignment, with proven success translating complex technical and business requirements into clear priorities and executive-ready narratives.
Experience navigating organizational complexity and landing decisions across distributed, matrixed, or multi-office teams, including partnerships with a corporate parent or sister business units.
Experience as business owner of strategic vendor relationships, including security and legal assessments, contract negotiation support, and ongoing vendor management.
Bachelor's degree in Computer Science, Engineering, Business, or related field.

Nice To Haves

Master's degree preferred.

Responsibilities

Own and evolve the Enterprise AI product strategy across platform, developer tooling, agentic solutions, and enablement, ensuring alignment with company OKRs and the broader technology roadmap.
Drive portfolio prioritization, operating the Enterprise AI prioritization rubric and ensuring the team invests in the highest-value work based on VOC, telemetry, and business impact.
Lead quarterly and annual planning for the AmpAI portfolio.
Lead VOC and discovery efforts across engineering, product, business, and cross-BU stakeholders to identify the highest-leverage AI opportunities and pain points.
Translate insights into investment cases, roadmaps, and clearly scoped initiatives.
Partner with engineering and architecture on the end-to-end AI platform (LLM gateway, model access, governance tooling, observability) to ensure it is scalable, cost-effective, and usable by both engineers and business users.
Define and track the metrics that matter for Enterprise AI: adoption and active usage across tools, business value delivered (time displaced, cost avoided, revenue enabled), program health, enablement throughput, and OKR progress.
Own the Monthly Tech Review | AI narrative and executive storytelling around AI impact.
Own strategic AI vendor relationships as business owner for key vendors (Anthropic, Google Cloud, Portkey, and others), partnering with Cyber, Legal, and AI Governance to de-risk the stack and unlock high-value use cases.
Drive cross-functional alignment and delivery across AmpAI sub-teams (AI Solutions Engineering, AI Platform & Infrastructure, AI Enablement & Programs) and partner teams in product, engineering, design, data science, legal, security, and go-to-market.
Evangelize Enterprise AI through demos, release notes, internal communications, and executive forums.
Represent RDC credibly in AI conversations with News Corp Global Tech and sister BU leaders.
Grow the Enterprise AI community by running the AI Champions network, workshop series, Enterprise AI Office Hours, and cross-BU community of practice.
Mentor and develop junior and mid-level PMs and AI Solutions Engineers, and serve as a culture carrier for exceptional documentation, communication, and collaboration practices across the Developer Productivity organization.