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GoodRx

Senior Engineering Manager, AI and Agents

GoodRx

. Lead, hire, develop, and scale AI engineering teams and technical leaders supporting multiple use-case pods and shared platform capabilities .

Posted 9/18/2026full-timeSan Francisco • California • United StatesSenior💰 $226,000 - $361,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in leading and developing AI engineering teams, with a strong focus on LLM application architecture, production AI services, and engineering quality. Proficient in navigating complex engineering challenges while ensuring compliance with security and governance standards.

Highest-signal resume keywords
AI/ML System DevelopmentLLM Application ArchitectureTeam Leadership and ManagementProduction AI Services OperationEvaluation and Behavioral Measurement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAI/ML System DevelopmentLLM Application ArchitecturePrompt EngineeringMLOps/LLMOpsAPIs and OrchestrationCloud InfrastructureCost and Latency OptimizationMonitoring at ScaleEvaluation Methods
Soft Skills
Excellent CommunicationInfluence SkillsStakeholder Alignment
Tools & Technologies
AI Governance FrameworksData Protection ControlsAgentic SystemsEnterprise Agent PlatformsAI Evaluation Tooling
Industry Keywords
HealthcarePharmaFinanceRegulated Industry

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Lead, hire, develop, and scale AI engineering teams and technical leaders supporting multiple use-case pods and shared platform capabilities
  • Own delivery and engineering quality for LLM-based systems, agents, and integrations from architecture and build through production operation
  • Guide technical direction and lead development and operation of the shared AI platform, including evaluation pipelines, behavioral and quality testing, prompt and model management, observability, DLP/sensitive-prompt guardrails, agent frameworks, and reusable AI capabilities
  • Partner with Product, Architecture, and business leaders to translate priorities into technical plans and balance capacity and resources
  • Make tradeoffs involving delivery commitments, technical investments, build/buy/partner decisions, vendors, and models
  • Establish engineering practices across planning, design and code reviews, on-call, and incident management
  • Manage cross-team dependencies, operational risks, systemic technical issues, and stakeholder alignment
  • Ensure launches meet evaluation, security, and governance standards in collaboration with Legal, Compliance, and Security
  • Develop engineering standards, reusable patterns, playbooks, and knowledge-sharing practices for safe AI adoption
  • Stay involved in critical architecture, design, and technical decisions while maintaining accountability for leadership and delivery
  • Navigate complex, ambiguous, cross-cutting engineering challenges across teams and organizational boundaries

Requirements

What you’ll need
  • 12+ years of software engineering experience
  • Experience building AI/ML or GenAI systems in production
  • 3+ years managing or leading engineers and engineering teams
  • Ability to lead multiple highly technical engineering teams and technical leaders
  • Deep technical fluency with LLM application architecture, including RAG, agents and tool use, prompt engineering, fine-tuning trade-offs, evaluation methods, and MLOps/LLMOps
  • Hands-on experience shipping and operating production AI services, including APIs, orchestration, cloud infrastructure, cost and latency optimization, and monitoring at scale
  • Experience building and leading high-performing engineering teams in a matrixed organization, including blended employee and contractor teams
  • Experience designing evaluation and behavioral measurement for AI systems
  • Excellent communication and influence skills, including presenting to executive audiences
  • Bachelor’s degree in computer science or a related technical field, or equivalent experience
  • Healthcare, pharma, finance, or other regulated-industry experience is nice to have
  • Familiarity with AI governance frameworks, responsible AI practices, and data protection controls is nice to have
  • Experience with agentic systems, MCP, enterprise agent platforms, or AI evaluation tooling is nice to have
  • Experience integrating AI into consumer-scale products is nice to have
  • Ability to adhere to security policies and procedures and support appropriate security controls

Benefits

Comp & perks
  • Annual cash bonuses or commission
  • Annual equity grants
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) with a company match
  • Employee Stock Purchase Plan (ESPP)
  • Unlimited vacation
  • 13 paid holidays
  • 72 hours of sick leave
  • Mental wellness programs
  • Financial wellness programs
  • Fertility benefits
  • Generous parental leave
  • Pet insurance
  • Supplemental life insurance for you and your dependents
  • Company-paid short-term and long-term disability
  • Reasonable accommodations for candidates with disabilities