Senior Product Manager, Analytics
Company: Attune Location: West Loop, Chicago, IL (Hybrid — 3 days/week in office)
Type: Full‑time
About Attune
Attune is a Chicago-based healthcare voice AI company building an intelligent platform that automates patient engagement at scale. Our agentic voice AI conducts health risk assessments, schedules appointments, manages prescription reminders, and handles post-procedure follow-ups.
We help healthcare organizations improve patient outcomes while reducing operational burden — transforming how providers connect with their patients.
Why this role exists
Attune's voice AI platform generates rich, high-value data on every patient interaction — engagement outcomes, call recordings, transcripts, collected health data, and operational metrics. Today, getting that data to customers and turning it into action requires too much manual effort. We need a senior, technical PM to own the full analytics and data delivery surface area and transform it into a self-service platform that scales with our customer base.
This means owning everything from how data lands (webhooks, SFTP, S3, API endpoints) to how it's visualized (dashboards, scorecards, KPI views, natural language insights) to how it drives action (alerts, automated reports, debugging tools). You'll productionize what exists, fill critical gaps, and define the vision for what comes next.
You'll thrive here if you can set big goals for engineering, prototype to test hypotheses quickly, and confidently push back when priorities don't align with strategy or capacity.
What you'll do
- Own the product roadmap for analytics, reporting, data delivery, and operational tooling — from self-service dashboards to webhook infrastructure to natural language insights.
- Productionize data delivery at scale: build the self-service platform for configuring webhooks, SFTP, and S3 delivery — including configurable payloads, guided setup, delivery health monitoring, automated retries, and end-to-end testing. The goal: any new customer is fully configured without engineering involvement.
- Define the next generation of analytics: spec and ship dashboards, insights views, and self-service reporting tools that surface engagement outcomes (CSAT, answer rates, care gap closure, call dispositions, handle time, completion rates) and drive action.
- Build operational debugging tools: give internal teams and customers the tooling to self-diagnose issues — delivery logs, call inspection, transcript analysis — instead of filing tickets.
- Prioritize ruthlessly: choose the highest-payoff bets across customer requests, internal pain points, and platform investments. Maintain urgency, but effectively manage risk and tradeoffs to quality and extensibility.
- Partner with Engineering: break down scope into sequenced milestones with clear go/no-go gates. Contextualize business needs so engineers independently make good decisions. Align on architecture trade‑offs, keep teams unblocked, and protect focus.
- Be forward-facing: lead customer discovery calls, POCs, and executive readouts. Translate technical reality into business impact. Educate leadership and sales on trade‑offs, capacity, and sequencing.
- Work closely with Customer Success to translate client reporting needs into scalable product capabilities — not one-off custom work.
- Use AI tools throughout your workflow — for research, spec writing, prototyping, and data analysis. We expect our PMs to ship faster because of AI, not in spite of it.
The problems you'll help solve
- Manual data delivery doesn't scale: every customer has different delivery needs (payload format, transport, schedule, filtering). Today this requires engineering time. You'll build the self-service layer that eliminates it.
- Customers can't see what's happening: the platform generates rich data, but the analytics and insights surface area is underdeveloped. Customers and internal teams need better visibility into what's working and what isn't.
- Operational tooling gaps: when something goes wrong — a failed delivery, a bad call, a misconfigured workflow — diagnosing it requires database queries and Slack messages. You'll build the tools that make this self-service.
- Data as a differentiator: healthcare organizations are drowning in data but starved for insights. Natural language querying, automated anomaly detection, and proactive reporting can set Attune apart.
What will make you successful here
- Critical thinker with common sense; asks "why?" and validates assumptions before building.
- Comfort in ambiguity; proactively forges a path via experiments and validation points.
- Decisive, with judgment to defer when a better decision will emerge with time or data.
- Vision + execution: can paint the future and also land the next two sprints.
- Systems thinker: sees how data flows from collection through delivery and can reason about the full pipeline — not just the UI layer.
- Separates business pressure from product deci