Senior Product Manager, AI Copilot & Conversation Intelligence

A Place for Mom

2d•$165,000 - $195,000

About The Position

Caregiving is broken. Families facing one of the hardest decisions of their lives are left to navigate it alone, with little clarity on what their loved one needs or where to find it. A Place for Mom is building the AI-powered platform to change that, and to step-change the industry standard for finding the right senior care option for loved ones. This role is a pivotal part of that equation: connecting families, through advisors, to the providers who can care for them. We are looking for a Senior Product Manager to own how A Place for Mom advisors reach families across phone, SMS, and chat, and the intelligence built on those conversations, from the first call through to the move. You will design and ship the systems advisors rely on in every conversation: the channels they use to connect, the live transcript those conversations produce, and the real-time coaching and insights built on top of it. You will partner across Product, Engineering, Data, Sales, Sales Operations, and Compliance, and own measurable outcomes in connection rate, advisor efficiency, and move-in rate. This is an AI-native product role with deep technical fluency, not a telephony role with AI seasoning. If you use AI to do your own best work every day, think at the architecture level, and want to turn every family conversation into an input to the product, this is for you.

Requirements

5–8+ years of experience in product management, including shipping real-time, conversational, or communications products such as contact center, telephony, messaging, or voice
AI-native in how you work, not just in what you build: you use LLMs and agents every day to research, prototype, analyze, and ship, running work in parallel and putting interactive prototypes in front of people instead of decks
Hands-on experience applying LLMs to real data: you connect models directly to data sources to explore on your own, and you have used them to analyze conversations at scale, defining the signals to extract before you run the analysis
Sound judgment on where AI belongs: you know when a deterministic system beats an agentic one, especially where attribution matters, and how to give a deterministic flow an agentic feel
Technical fluency at the architecture level, including APIs, event streams, data models, identity resolution, and real-time transcription pipelines, and the ability to shape sequencing around technical constraints and hard dependencies
A habit of starting with a quantifiable wedge, not the whole vision, and building reusable primitives that outlast the platform they launch on
Comfort acting on directional signal while being explicit about confidence, paired with the rigor to validate at scale before you commit
Proven ability to write clear requirements, run experiments, partner closely with engineering, and own delivery end-to-end
Experience aligning sales leadership, operations, compliance, and engineering around a shared roadmap

Nice To Haves

contact center platform migrations
speech and transcription technology
conversation intelligence or call scoring
TCPA or do-not-call compliance
marketplace or health-adjacent domains

Responsibilities

Be the product owner for our telephony systems and every advisor-to-family communication channel: outbound and inbound calling, SMS, advisor chat, and follow-up email
Own the product strategy and roadmap for how advisors reach families across phone, SMS, and chat, and how the right channel gets chosen for each family
Lead the product side of our move to a next-generation contact center platform: evaluation, migration, and keeping today's platform stable and current until cutover
Treat the live transcript as a product: define the contract that real-time coaching, call scoring, the family's care profile, and advisor summaries all build on
Balance what each consumer needs, from real-time delivery during the call to complete post-call records to structured data pulled from what the family said
Build real-time, in-app coaching and insights that guide advisors during the call, not after it
Build call scoring and coaching dashboards that give sales managers clear coaching opportunities, scored off our own transcripts inside our own product
Define where leads go after referral, whether they stay with their current advisor or move to a dedicated follow-up advisor, and how they are prioritized
Own the treatment each family receives: the mix and cadence of calls, SMS, and email, and the outreach strategy that keeps families engaged through a long decision
Build do-not-call and consent requirements into every channel from the start, so families' stated preferences are honored everywhere
Partner with our provider-facing teams to deliver live transfer to senior care partners across our network
Define metrics, baselines, and targets for connection rate, calls per family, advisor coaching behaviors, and move-in rate; set hypotheses and lead learning agendas
Instrument every launch so we know what moved the outcome, and translate what we learn into clear investment recommendations