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Agent Operations

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Assort Health
Full Time position
Listed on 2026-07-23
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Building Healthcare That Remembers

Every time you call a doctor's office, the system forgets you the moment you hang up. You wait on hold, explain everything from scratch, get bounced between lines, and hope someone follows up. Everyone has felt this. No one should have to.

At Assort Health, we’re building one continuous conversation for every patient. An AI agent that knows who you are, remembers how you like to be reached, and carries that context from your first symptom to your full recovery. What began as the first voice AI agent to schedule a specialty appointment has become the largest proprietary specialty dataset in healthcare: 210 million patient interactions, 62,000 care protocols, 1.6 million decision pathways.

We went from 15 people in 2025 and will cross 250 by the end of 2026. Revenue is up 20x in 15 months and we’ve raised $222 million, including a recent $120 million Series C at a $1.2 billion valuation. We’ve also been named to the Forbes Cloud 100 and the 2026 Enterprise Tech 30 as the only healthcare AI company on the list!

Healthcare spends $1.1 trillion a year on administration instead of care. If you want to help change that, apply below.

What You’ll Do Tool & Automation Development

Partner directly with engineering to design and build internal tooling and automations that make implementations faster, more consistent, and less manual. This includes:

  • Transfer analysis tooling
  • Agent sentiment and conversation analysis
  • Internal and external testing frameworks for agent QA
  • Deployment and onboarding workflow automations
  • APM productivity tools that reduce repetitive manual work

You’ll identify the highest-leverage build opportunities by staying close to the APM team’s day-to-day and translating operational pain into product requirements.

Agent Analytics & Data Integrity

Own the data and reporting layer for agent performance. You’ll define what we measure, ensure accuracy, and surface the insights that drive product and operational decisions.

  • Build and maintain dashboards that give APMs and engineering real-time visibility into how deployed agents are performing
  • Track key agent metrics — sentiment, transfer rates, drop-off patterns, call outcomes — and flag anomalies
  • Ensure data pipelines are reliable and that what we’re reporting accurately reflects what’s happening in the product
Team KPI Reporting

Own the reporting infrastructure for the Agent PM org’s key performance metrics.

  • Maintain recurring dashboards and reports for leadership covering implemented and live ARR, time to value, and launch delays
  • Serve as the team’s source of truth for operational performance data
  • Surface trends and insights that inform strategic decisions
Implementation Process Improvement

Drive process improvements across the agent implementation lifecycle — from onboarding through testing and deployment.

  • Identify friction points in how agents are configured, tested, and launched
  • Partner with engineering to close gaps and build better workflows
  • Document and scale what works; retire what doesn’t
Product-Adjacent Special Projects

Take on analytical and research projects that support product decisions.

  • Benchmarking and performance analysis
  • Implementation process playbooks and internal tooling used for New Product implementations
  • Ad hoc research in support of APM and product leadership
What We’re Looking For
  • 2–4 years of experience in product management, implementations, consulting, Biz Ops, or a similar role at a technology company
  • Technical fluency — comfortable working directly with engineering, writing basic scripts or queries, and building functional internal tools; you don’t need to be an engineer, but you should speak the language
  • Strong analytical skills — ability to interpret complex data sets, define what to measure, verify accuracy, and translate findings into actionable decisions and recommendations
  • Experience translating business needs into actionable requirements for technical teams; you bridge the gap between operational pain and engineering solutions
  • Operational rigor — you build systems that scale, documentation that actually gets used, and processes that stick
  • Bias toward building — you see a manual process and immediately…
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