AI Deployment Manager

Conduit Health

$120K — $150K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in product, operations, or deployment roles focusing on AI/automation production
  • Demonstrated ability to build, prototype, and debug AI systems
  • Strong understanding of workflows and behavioral data analysis
  • Ability to critically analyze ambiguous problems and develop solutions
  • Self-directed with a high degree of ownership
  • Bonus: experience in healthtech or insurance workflows, proficiency in Python or SQL

Responsibilities

  • Drive end-to-end AI deployments, including design, testing, and rollout
  • Translate complex payer and clinical workflows into executable technical specifications
  • Ensure output quality by measuring accuracy and enhancing reliability of deployments
  • Document and create reproducible playbooks for prompt and deployment strategies
  • Define and execute a prioritized AI roadmap
  • Establish metrics to determine and validate successful outcomes

Benefits

  • Competitive salary and meaningful equity
  • Hybrid working model based in Union Square, NYC (3 days/week)
  • Unlimited PTO along with 9 company holidays
  • Comprehensive full benefits package
Full Job Description
The Role

This is not a supporting role. You'll drive how AI gets deployed across Conduit - designing, testing, and shipping the agents and features that automate the operational guts of post-acute care: prior authorization, eligibility, benefit checks, document extraction, and claims. You'll do real product work, but the center of gravity is AI: turning messy, manual healthcare workflows into systems that run themselves.

You'll work across operations and engineering with real autonomy and a high bar. We want someone who reaches for AI before reaching for headcount.

What You'll Own
  • End-to-end AI deployments - design, test, and roll out browser/phone agents and document extraction (OCR + agentic AI) that automate authorization, verification, and intake workflows
  • Workflow-to-spec translation - turn complex payer and clinical workflows into clear technical specs the AI can execute
  • Output quality - measure accuracy, find where deployments fail, and drive them toward reliability ruthlessly
  • Playbooks - document prompt and deployment strategies so they're reproducible and scale across states and payers
  • The AI roadmap - prioritized, defended, and executed with conviction
  • Metrics - define what "working" means and prove it


Who You Are
  • 4+ years in product, ops, or deployment roles - with meaningful time shipping AI/automation into production
  • AI-native: you build, prototype, and debug with AI, and you're skeptical of any process that doesn't
  • You think in workflows and behavioral data - and you know when the data is lying to you
  • You think critically about ambiguous problems and propose structured solutions
  • Comfortable with high ownership and minimal guardrails - you don't wait to be told what to prioritize
  • Bonus: healthtech or insurance workflows; Python or SQL


The Details
  • Competitive salary + meaningful equity
  • Hybrid, Union Square NYC (3 days/week)
  • Unlimited PTO + 9 company holidays
  • Full benefits

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