Product Strategy & Operations Associate — AI-Driven Efficiency

Habitat Health

Los Angeles (CA)

Hybrid

USD 118,000 - 137,000

Full time

47 hours ago
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Benefits offered by this job

Medical, dental, vision insurance
401(k) with match
Paid time off

Job summary

Habitat Health is seeking a product-minded problem-solver to help scale our AI-driven care platform. You will map current workflows, design repeatable processes, and roll out tools across clinical, operational, and enrollment teams.

Travel to Habitat centers will be required to observe real-world workflows and drive adoption. The role emphasizes fast learning, automation, ownership, and data-driven decision making in a hybrid environment with potential travel across centers.

Qualifications

  • Smart, and a fast learner who gets up to speed on unfamiliar domains, tools, and systems quickly.

Responsibilities

  • Jump into research, analysis, process mapping, AI deployment, docs, coordination, or prototyping to bring structure to fast-moving work.
  • Break big fuzzy asks into clear, actionable plans and keep stakeholders aligned as things move.
  • Eliminate manual, repetitive processes with off-the-shelf tools, no-code builders, light scripting, AI, or clear specs for engineering.
  • Use AI productivity tools daily to speed drafting, analysis, and workflows.
  • Collaborate with Product, Technical, and functional leads to build repeatable systems and dashboards.

Skills

Fast learner
Automation
Ownership
Ambiguity tolerance
Analytical skills
Communication
Spreadsheets & dashboards
SQL / no-code

Tools

Salesforce
Epic
Healthcare data systems

Job description

Habitat Health is seeking a product-minded problem-solver to help scale our AI-driven care platform. You will map current workflows, design repeatable processes, and roll out tools across clinical, operational, and enrollment teams.

Travel to Habitat centers will be required to observe real-world workflows and drive adoption. The role emphasizes fast learning, automation, ownership, and data-driven decision making in a hybrid environment with potential travel across centers.

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