Product Manager, Intelligence

Socket.dev

San Francisco (CA)

Hybrid

USD 120,000 - 170,000

Full time

2 days ago
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Benefits offered by this job

Healthcare benefits
401k with match
Learning budget
Home office stipend
Parental leave

Job summary

Heidi is hiring a Product Manager to evolve clinical intelligence by turning millions of clinical sessions into actionable products for clinicians and health systems. You will own analytics, reporting, and AI-native features that improve decision making and outcomes across departments.

This role blends structured data, AI experiences, and exploratory product discovery. You’ll work on how clinicians interact with their data, and you’ll partner with engineering to ensure scalable, reliable

Qualifications

  • BA/BS in a technical or analytical field; strong quantitative skills.
  • 4+ years in product, infrastructure, or technical roles; impact over time served.
  • Strong design sensibility and belief that great software improves day-to-day work.
  • Able to discuss infrastructure trade-offs with leadership and engineers.
  • Experience with data products or platforms is a plus.

Responsibilities

  • Own product strategy and roadmap for Heidi’s intelligence products with clear goals.
  • Build intelligent experiences that unlock deeper understanding from clinical data.
  • Own reporting, analytics, and insight surfaces to increase customer value with usage.
  • Scope and ship AI-native features turning data into proactive insights.
  • Align customer understanding with business goals to drive retention and expansion.
  • Prioritize new intelligence capabilities and data quality improvements.
  • Collaborate with AI and product teams to stay ahead of models.
  • Work with engineering on architecture trade-offs at a technical level.
  • Spot patterns across teams and consolidate solutions.

Skills

Product management
Analytical thinking
Software design
Data products
AI tools
LLM concepts
Bold opinions
Curiosity
Data analysis
Building over requesting

Education

BA/BS in technical or analytical field

Tools

AI tooling

Job description

We’re Heidi.

We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties.

Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s capacity for care and strengthen the human connection at its heart.

We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again.

We’ve grown annual recurring revenue from $1 million to $50 million in two years.

To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund.

If you want to join us in doing work worth shipping, jump in.

The role

We’re looking for a Product Manager to build the next generation of clinical intelligence at Heidi. Millions of clinical sessions per week generate an extraordinary volume of structured health data. Your job is to turn that into products that help clinicians, health systems, and Heidi itself make better decisions.

This role blends structured data products, AI-native experiences, and exploratory product discovery. You will own how clinicians and organisations interact with their clinical data: analytics, reporting, operational insights, and the intelligent surfaces that make Heidi more valuable the more it’s used. When a clinic understands its referral patterns, when a health system sees adoption across departments, when an AI model gets smarter because the data underneath it improved: that’s your work.

This role will be based in either our Sydney or Melbourne office.

We don’t care about logos; the traditional insignia of competence. We’ll evaluate senior well-credentialed candidates and young, hungry hopefuls alike.

What you’ll do
  • Own product strategy and roadmap for Heidi’s intelligence products, setting clear goals and being held accountable to achieving them

  • Build intelligent experiences that help clinicians and health systems unlock deeper understanding from their clinical data

  • Own reporting, analytics, and insight surfaces that make Heidi more valuable the longer a customer uses it

  • Scope and ship AI-native features that turn clinical data into proactive insights and decision tools

  • Match deep customer understanding with business goals to deliver products that drive retention and expansion

  • Prioritise across new intelligence capabilities, data quality, and the infrastructure that supports them

  • Work with AI and product teams so intelligence products stay ahead of what the underlying models can do

  • Work with engineering on architecture trade-offs at a technical level

  • Spot patterns that multiple teams are solving separately and consolidate them

What you’ll need
  • BA/BS in a technical or analytical field (e.g. Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related)

  • 4+ years in product, infrastructure, or technical roles, though we care more about what you’ve built than time served

  • A romantic streak about software and a belief that great design transforms someone’s day

  • Technical enough to hold your own with engineers, credible enough to present infrastructure trade-offs to leadership

  • Genuine curiosity about what breaks when software moves from development to production at scale

  • Experience in data products or platforms (metrics layers, data APIs, semantic modelling) is a genuine advantage, though the right person can learn the domain

  • 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 usage data and distinguish a product problem from a data quality problem from a customer‑specific issue

If you answer ‘NO’ to these questions, this may not be the job for you:

  • Are you an execution powerhouse?

  • Have you shipped something this week?

  • Are you good at games?

  • Did you have a weird teenage hobby?

  • Are you able to execute without a legion of data analysts, product marketers, and research coordinators at your beck and call?

  • Does the prospect of making health systems a lot nicer make you feel fuzzy inside?

How we show up
  • Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism.

  • Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that.

  • Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford.

  • Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander.

  • Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless.

  • Live in clinicians' reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it.

Why Heidi?

You’ll join a team measured on real-world impact, not press cycles. We live and breathe the challenges of modern health systems, and are laser‑focused on exacting the change we’d like to see. We’re medicos, engineers, builders and designers who’ve felt (on every side of the equation) what non‑care feels like, the moral and practical toll as a provider or receiver.

Building what we’re building isn’t always easy. Standard tech playbooks routinely fail in healthcare, and the friction of the medical system will test your perseverance. But we didn’t choose easy, we chose a purpose‑driven mission that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognize that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it.

True A-players progress extremely fast here. The nature of the scale‑up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally.

We take care of you.

We offer healthcare, dental and vision benefits, a 401k with 3% company match, a $700 annual learning and development budget, a $100/month health and wellness allowance, a $500 home office budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to $7,000, four weeks of work from anywhere per year, and serious equity.

We chose to open‑source our benefits hub, if you care to take a peek.

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