Product Manager, Comms

Heidi•San Francisco, CA

12h•Onsite

About The Position

We’re looking for a Product Manager who can build AI agents that handle the operational backbone of clinical practice. Autonomous agents that call patients, manage referrals, coordinate procedures, and follow up after surgery. Heidi’s Comms product builds multichannel AI communication: voice calls, texts, emails, bookings, reminders, and follow-ups for clinics. Specialist practices spend enormous time on the phone doing predictable, structured work. Screening referrals. Calling patients through multi-step preparation checklists. Chasing no-shows. Confirming appointments. We replace that work with AI agents that operate across voice, SMS, and email. You will own the product direction for Comms, partnering closely with engineering and GTM. The roadmap, team, and commercial motion exist. You are picking up a running operation. You need to understand how a specialist clinic’s front desk actually operates: referral pathways, pre-operative coordination protocols, day-of logistics, post-operative follow-up sequences. Then you need to translate those workflows into agent behaviour that handles real-world messiness. Low pickup rates. Patients who don’t respond to voicemail. Multi-step processes that span days. Integration with practice management systems that clinics already use. This role will be based in our San Francisco office. We don’t care about logos; the traditional insignia of competence. We’ll evaluate senior well-credentialed candidates and young, hungry hopefuls alike.

Requirements

BA/BS in a technical or analytical field (e.g. Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related)
3+ years in product, operations, or technical roles, though we care more about what you’ve shipped than years on the clock
A romantic streak about software and a belief that great design transforms someone’s day
Strong customer empathy from spending real time with the people who use what you build
Ability to translate messy real-world processes into structured systems
You build with AI tools (Cursor, Claude Code, whatever ships faster) and can show what you’ve made with them
Fluency with core LLM concepts and systems (prompting, fine-tuning, embeddings, retrieval, evaluation) and the judgment to translate these into reliable, user-facing products
You default to building over requesting
Strong opinions, weakly held; you’ll shift the room when you’re right
Data fluency with diagnostic teeth; you can read logs and distinguish a model problem from a design problem from an integration problem

Responsibilities

Own product strategy and roadmap for Heidi’s AI communication agents, setting clear goals and being held accountable to achieving them
Scope and ship new agent capabilities from concept to production, working directly with engineering and design
Spend significant time with customers to understand their operational workflows, pain points, and what good looks like in their environment
Translate complex clinical scenarios into precise agent specifications that engineering can build against
Own agent reliability and quality across voice, SMS, and email channels
Set measurable targets for agent performance and build the feedback loops to improve them
Align your roadmap with commercial needs so product capability reflects what customers are buying
Work with integration partners so agents can read and write real clinical data
Watch voice AI and agentic developments; decide when new capabilities should change your approach