Lead Product Manager, Organic & AI Discovery

🕒 Julho 6

🤠 Texas – Remoto

info

💵 $165.000 - $195.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of A Place for Mom

A Place for Mom

501 - 1000 funcionários

Fundada em 2000

💼 Consultoria

🏨 Hospitalidade

📦 Logística

Consulting • Hospitality • Logistics

A Place for Mom é uma empresa de referência e marketplace nos Estados Unidos que auxilia famílias a encontrar, comparar e organizar opções de moradia e cuidados para idosos, incluindo residências assistenciais, cuidados para memória, vida independente, lares de idosos e fornecedores de cuidados domiciliares. A empresa conecta famílias a consultores locais especializados em vida para idosos, publica guias, avaliações e premiações, e oferece ferramentas como calculadoras de custos e recomendações personalizadas. Seu serviço é gratuito para as famílias e é financiado por comunidades de vida assistida e provedores de cuidados domiciliares participantes.

Descrição

• Own the product strategy and roadmap for how APFM's owned properties perform across the traditional, AI-mediated, voice, and agentic search landscape • Translate SEO signals, algorithm shifts, and discovery changes into product decisions and roadmap prioritization; partner with specialist practitioners who own day-to-day execution • Define and evolve how A Place for Mom shows up across the full AI-mediated discovery landscape, including AI search citations, conversational query coverage, structured data for AI grounding, MCP integrations, voice interfaces, and agentic endpoints • Monitor and interpret shifts in AI platform behavior, search landscape changes, and evolving distribution surfaces, and translate them into internal product guidance, guardrails, and prioritization • Evolve existing AI discovery measurement framework and tooling as the ecosystem develops and new channels come online that require new measurement approaches • Build acquisition loops into the product surface: Sharing, comparison tools, decision aids, community-driven content surfaces • Partner with Product peers to embed PLG mechanics in core flows that compound organic acquisition without paid spend • Define metrics, baselines, and targets for organic and AI discovery; size opportunities, set hypotheses, and lead learning agendas • Translate ambiguous, evolving discovery signals into actionable product bets and clear investment recommendations • Embed authority, expertise, and trust signals into product surfaces and content systems • Ensure the signals AI systems use to evaluate credibility, including review integrity, content quality, and decision support depth, are reflected accurately in what we build • Develop and maintain a point of view on AI disintermediation risk and ensure the product roadmap accounts for it

🎯 Requisitos

• 7–10+ years of experience in SEO, organic growth, product strategy, or related roles • Demonstrated depth in SEO fundamentals and a track record of shipping product surfaces that moved organic acquisition outcomes, not just advising on them • A working point of view on how the search landscape is evolving: how AI-mediated discovery works, how to instrument and influence it, and where it's heading • Comfort with ambiguous, evolving data sets and the ability to build measurement approaches where none exist yet • Strong opinions on trust-sensitive, YMYL content and product systems • Proven ability to write clear requirements, run experiments, partner closely with engineering, and own delivery end-to-end • Experience facilitating alignment across senior stakeholders in ambiguous, cross-domain problem spaces • Experience managing or mentoring other practitioners; a track record of elevating the product intuition and execution quality of the team around you • Bonus: marketplace or aggregator experience, regulated or health-adjacent domains, prior GEO work, MCP or agentic distribution experience

🏖️ Benefícios

• 401(k) plus match • Dental insurance • Health insurance • Vision Insurance • Paid Time Off

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