Lead Product Manager, Organic & AI Discovery

About the role

You are the product leader who will define how families find and commit to A Place for Mom through organic and AI-first discovery channels. You own the end-to-end product strategy and roadmap for search, AI-mediated surfaces, voice, and agentic systems, ensuring they work together as a coherent growth system. This role demands a rare blend of SEO fluency and product rigor, where your decisions directly determine whether we earn attention in a high-stakes, trust-sensitive category. You will translate volatile algorithm and platform changes into clear product bets, collaborating with specialists while retaining full ownership of outcomes. You will evolve how A Place for Mom appears and is chosen across traditional search, AI citations, conversational queries, and emerging distribution channels. You will instrument and refine measurement frameworks so that every product change can be evaluated for its impact on acquisition and trust. You will ensure that authority, review integrity, and decision-support depth are built into the product surface, not treated as afterthoughts. This is a builder role for a YMYL category, where your point of view on AI disintermediation risk shapes what we build today and how we win tomorrow.

Key facts

What you'll do

Define and own the product strategy and roadmap for APFM's visibility and performance across traditional search, AI-mediated discovery, voice interfaces, and agentic endpoints.

Translate SEO signals, algorithm updates, and shifts in discovery behavior into prioritized product decisions, working alongside specialist practitioners who execute day-to-day optimizations.

Design and evolve how A Place for Mom shows up in AI search citations, conversational query coverage, structured data for AI grounding, MCP integrations, voice endpoints, and agentic systems.

Monitor and interpret changes in AI platform behavior and search landscape dynamics, then translate these signals into internal product guidance, guardrails, and roadmap prioritization.

Evolve the AI discovery measurement framework and tooling as new channels emerge that lack existing measurement approaches.

Build product-led growth loops into core surfaces, including sharing tools, comparison tools, and community-driven content features that compound organic acquisition.

Partner with Product peers to embed product-led growth mechanics in key flows, enabling compounding organic demand without relying on paid spend.

Define metrics, baselines, and targets for organic and AI discovery, size opportunities, set hypotheses, and lead learning agendas to guide product investment.

Translate ambiguous, evolving discovery signals into actionable product bets and clear recommendations for stakeholders.

Embed trust and authority signals into product surfaces and content systems, ensuring the product reflects a defensible point of view for a YMYL category.

Ensure that signals AI systems use to evaluate credibility, including review integrity, content quality, and decision-support depth, are accurately reflected in what we build.

Develop and maintain a point of view on AI disintermediation risk and ensure the product roadmap accounts for scenarios where AI answers replace clicks.

Facilitate alignment across senior stakeholders in ambiguous, cross-domain problem spaces, turning unclear discovery challenges into coherent product initiatives.

Elevate the product intuition and execution quality of the team through mentoring, clear requirements, and rigorous experiment design.

Own end-to-end delivery of discovery initiatives, partnering closely with engineering and data to ship and iterate with speed and reliability.

Set hypotheses for new distribution surfaces such as MCP integrations, voice endpoints, and agentic endpoints, then validate their impact on acquisition and trust.

Define guardrails for AI-generated referrals and citations so that user trust and brand authority are protected as systems evolve.

Champion measurement for new channels, ensuring we can attribute value and learn quickly as discovery surfaces multiply.

Requirements

Bring 7-10+ years of experience in SEO, organic growth, product strategy, or related roles that involve discovery in high-stakes categories.

Show a documented track record of shipping product surfaces that moved organic acquisition outcomes, not merely advising on SEO or discovery from the sidelines.

Demonstrate a working point of view on how the search landscape is evolving, including AI-mediated discovery, how to instrument and influence it, and where it is heading in the next several years.

Comfortable operating with ambiguous, evolving data sets and capable of building measurement approaches where none exist yet.

Strong opinions on trust-sensitive, YMYL content and product systems, with an understanding of how credibility signals affect user decision-making.

Proven ability to write clear requirements, run experiments, partner closely with engineering, and own delivery from problem framing through shipped outcomes.

Experience facilitating alignment across senior stakeholders in complex, cross-domain problem spaces where priorities may conflict.

History of managing or mentoring other practitioners, with a track record of elevating the product intuition and execution quality of the team around you.

Bonus experience in marketplace or aggregator environments, regulated or health-adjacent domains, prior work in generative engine optimization, and hands-on experience with MCP or agentic distribution.

Nice to have

Experience building product-led growth loops that compound organic acquisition without paid media.

Deep background in SEO tooling, structured data, and advanced implementation patterns for search and AI surfaces.

Prior work in senior care or other YMYL categories where trust, compliance, and decision quality are central.

Hands-on experience with AI search platforms, citation optimization, and emerging distribution mechanisms.

Familiarity with voice interface design and agentic workflow considerations for discovery systems.

Practical notes

This role is full-time and based in Austin, TX. No details on compensation, hours, travel, visa, or application deadlines were provided in the source material.