Senior AI Engineering Manager - Lead Platforms & Agents

GoodRx, Inc.

San Francisco (CA)

On-site

USD 226,000 - 361,000

Full time

14 days+

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Benefits offered by this job

medical insurance
dental insurance
vision insurance
401(k) with company match
ESP P
unlimited vacation
13 paid holidays
72 hours of sick leave
mental wellness programs
fertility benefits
parential leave

Job summary

GoodRx, Inc. is seeking a Sr. Engineering Manager for AI and Agents to lead the design, delivery, and governance of scalable AI platforms across multiple products. You will mentor engineers, partner with product and security, and shape the technical strategy for enterprise-grade AI solutions.

You will own the LLM-based systems, agent frameworks, evaluation and observability, ensuring performance, reliability, and compliant guardrails while aligning with business goals and roadmap priorities.

Qualifications

  • 12+ years software engineering with AI/ML in production
  • 3+ years leading engineers and teams
  • Deep fluency in LLM architecture, RAG and agents
  • Experience building reusable AI platforms and observability practices

Responsibilities

  • Lead AI/engineering teams and technical leaders
  • Own delivery and quality for LLM-based systems and integrations
  • Guide CoE shared AI platform development, testing, and observability
  • Translate product priorities into technical plans and tradeoffs
  • Maintain engineering practices and manage cross-team risks
  • Ensure launches meet security and governance standards
  • Develop scalable patterns and playbooks

Skills

AI/ML systems
LLM application architecture
Engineering leadership
Cloud infrastructure
Observability
Production AI services

Education

Bachelor's in CS or related field

Tools

LLMOps

Job description

GoodRx, Inc. is seeking a Sr. Engineering Manager for AI and Agents to lead the design, delivery, and governance of scalable AI platforms across multiple products. You will mentor engineers, partner with product and security, and shape the technical strategy for enterprise-grade AI solutions.

You will own the LLM-based systems, agent frameworks, evaluation and observability, ensuring performance, reliability, and compliant guardrails while aligning with business goals and roadmap priorities.

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