Interested in this AI Product Manager role at News Corp?
Apply Now →Skills & Technologies
About This Role
Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
About the role
We are looking for a Principal Product Manager to drive the product vision, strategy, and execution for Enterprise AI at Realtor.com. Enterprise AI is one of the highest\-leverage investments in the company's technology portfolio, and the AmpAI team is responsible for how 800\+ engineers and thousands of business users adopt, govern, and get value from AI across the business.
This role treats Enterprise AI as a product: a portfolio of platforms, developer tools, agentic solutions, and enablement programs that must work together to deliver compounding value. You will own the product vision and roadmap across four product lines: (1\) the LLM platform and governance layer (model access, LLM gateway, IP protection, acceptable use), (2\) AI\-assisted software development tooling (Claude Code, Windsurf, RDC OS), (3\) agentic AI solutions for the business (across Client Revenue, Consumer Marketing, HR, Communications, and other non\-tech functions), and (4\) the Enterprise AI enablement surface (AI Hub, Office Hours, AI Champions network, workshops, certifications).
You will partner closely with the Head of Developer Productivity \& AI, the CTO, and senior leaders across product, engineering, data, legal, cybersecurity, finance, and go\-to\-market to shape the portfolio, drive prioritization, and ensure Enterprise AI delivers measurable business impact. As a senior individual contributor, you will also serve as a strategy driver for \[Realtor.com\|http://Realtor.com]'s broader AI community and a primary point of contact between RDC and News Corp Global Tech on AI strategy.
This is a high\-impact role for someone who thrives in ambiguity, operates at the portfolio level, and combines strategic product thinking with the technical fluency to engage credibly with engineers, architects, and AI practitioners.
Top Reasons to Apply:
- End\-to\-End Portfolio Ownership: This role provides comprehensive strategic ownership over four distinct AI product lines, ranging from core LLM infrastructure and developer tools to cross\-functional business automation. You will direct a high\-leverage portfolio that impacts every layer of the technology and business ecosystem.
- High\-Visibility Technical Leadership: Y ou will partner closely with Realtor.com's technology executives and News Corp Global Tech to align engineering execution with overarching corporate AI initiatives. Operating as a high\-influence principal contributor, you will translate high\-level business goals into scalable technical reality.
- Massive Scale with a Dedicated 15\-Engineer Team: Unlike R\&D sandboxes or proof\-of\-concept teams, you will be with a dedicated team of approximately 15 engineers to optimize workflows for developers and thousands of business users. Any platform enhancement or agentic solution your team builds instantly scales across the enterprise to drive measurable value.
- Advanced Tech, Governance, and AI Evaluation: You will lead the deployment of next\-gen developer tools and define the modern enterprise blueprint for LLM gateways, data compliance, and robust evaluation frameworks. You will own the critical methodologies used to benchmark models, ensuring the organization always deploys the most optimal LLMs for the job.
- Strategic Influence with Zero Administrative Overhead: This is the ideal destination for a heavyweight strategist who wants to steer a company's highest\-priority technology investments. You get to focus entirely on high\-level product craft, matrixed leadership, and driving engineering execution.
What You'll Do
- 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.
What We're Looking For
- 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. Master's degree preferred.
How We Work:
We balance creativity and innovation on a foundation of in\-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in\-person, adding richness to our culture and knitting us closer together.
How we Reward you:
Realtor.com is committed to investing in the health and well\-being of our employees and their families. Our benefits programs include, but are not limited to:
- Inclusive and Competitive medical, Rx, dental, and vision coverage
- Family forming benefits
- 13 Paid Holidays
- Flexible Time Off
- 8 hours of paid Volunteer Time off
- Immediate eligibility into Company 401(k) plan with 3\.5% company match
- Tuition Reimbursement program for degree and non\-degreed programs
- 1:1 personalized Financial Planning Sessions
- Student Debt Retirement Savings Match program
- Free snacks and refreshments in each office location
Do the best work of your life at Realtor.com®
Here, you’ll partner with a diverse team of experts as you use leading\-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.
Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 3,708 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At News Corp, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $216,175 based on 270 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
News Corp AI Hiring
News Corp has 12 open AI roles right now. They're hiring across AI/ML Engineer, Data Scientist, AI Product Manager. Positions span New York, NY, US, Austin, TX, US. Compensation range: $95K - $270K.
Location Context
AI roles in Austin pay a median of $214,343 across 87 tracked positions.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.