Sr. Engineering Manager, AI and Agents

GoodRx; California (MO); On-site; USD 226,000 - 361,000; Full time

Benefits offered by this job

Annual bonus

Equity grants

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

ESPP

Unlimited vacation

13 paid holidays

Sick leave

Mental wellness programs

Fertility benefits

Pet insurance

Job summary

GoodRx is seeking an experienced AI engineering leader to build and scale its GenAI engineering teams across multiple use‑case pods. You will own delivery quality for LLM-based systems, guide the CoE’s shared AI platform, and collaborate with product and business leaders to translate priorities into technical plans.

You will manage architecture, evaluation, observability, and guardrails, while steering vendors and build/buy/partner decisions. Strong communication to executives is essential.

Qualifications

• 12+ years of software engineering experience, incl. production AI/ML deployments
• Demonstrated ability to lead multiple highly technical engineering teams
• Deep fluency with LLM application architecture and MLOps practices
• Hands‑on experience shipping production AI services and scalable platforms
• Experience leading engineers and contractors in a matrix organization
• Ability to gate releases with evaluation frameworks and behavioral metrics
• Excellent communication and influence skills with senior stakeholders
• Bachelor’s degree or higher in CS or related field

Responsibilities

• Lead, hire, develop, and scale AI engineering teams and leaders across use‑case pods
• Own delivery and engineering quality for LLM systems from architecture to production
• Guide CoE AI platform development including evaluation pipelines and guardrails
• Translate product priorities into technical plans and resource tradeoffs
• Maintain engineering practices across planning, design reviews, on‑call, and incidents
• Ensure launches meet security, governance, and legal standards
• Develop scalable AI patterns and playbooks for rapid adoption
• Stay close to architecture decisions and drive alignment across teams
• Navigate cross‑team challenges with scalable approaches

Skills

Leadership

LLM architecture

GenAI production

Cloud infrastructure

MLOps/LLMOps

Observability

Stakeholder communication

Education

Bachelor’s degree in computer science or related field

Tools

RAG systems

Agent frameworks

Prompt engineering

Evaluation tooling

Model management

Job description

Experience integrating AI into consumer-scale products.

GoodRx is the leading prescription savings platform in the U.S. Trusted by more than 25 million consumers and 750,000 healthcare professionals annually, GoodRx provides access to savings and affordability options for generic and brand-name medications at more than 70,000 pharmacies nationwide, as well as comprehensive healthcare research and information. Since 2011, GoodRx has helped consumers save nearly $75 billion on the cost of their prescriptions.

Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.

What You Will Do

• Lead, hire, develop, and scale AI engineering teams and technical leaders supporting multiple use‑case pods and shared platform capabilities (e.g., marketing creative generation, AI product experiences, agentic distribution, enterprise workflow automation), setting clear expectations, providing ongoing coaching and feedback, managing performance, career growth, and leadership development.
• Own delivery and engineering quality for LLM-based systems, agents, and integrations, from architecture and build through production operation, cost, latency, and reliability, ensuring teams make sound technical tradeoffs and deliver scalable, maintainable solutions across multiple products and services.
• Guide technical direction and lead the development and operation of the CoE’s shared AI platform: evaluation pipelines, behavioral and quality testing, prompt and model management, observability, DLP / sensitive-prompt guardrails, agent frameworks, and reusable AI capabilities that can scale across teams.
• Partner with Product, Architecture, and business leaders to translate product and business priorities into technical plans, prioritize engineering work, and balance capacity and resources across teams and initiatives; make informed tradeoffs across delivery commitments and technical investments, including build/buy/partner, vendor, and model decisions.
• Establish and maintain effective engineering practices across planning, design and code reviews, on‑call, and incident management; proactively manage cross‑team dependencies, operational risks, and systemic technical issues, and keep senior stakeholders aligned on key progress, risks, tradeoffs, and decisions.
• Ensure every launch meets CoE evaluation, security, and governance standards; collaborate with Legal, Compliance, and Security to move fast with the right guardrails and drive consistent adoption of these practices across AI engineering teams.
• Develop, scale, and champion engineering standards, reusable patterns, and playbooks that enable the CoE and partner teams to adopt AI safely and quickly; establish knowledge‑sharing practices that scale across teams.
• Stay close to the technology through critical architecture, design, and technical decisions, while maintaining primary accountability for engineering leadership and delivery through teams and leaders.
• Navigate complex, ambiguous, cross‑cutting engineering challenges that span teams and organizational boundaries, establishing scalable approaches and driving alignment where precedent or clear solutions may not exist.

What You Bring

• 12+ years of software engineering experience, including experience building AI/ML or GenAI systems in production and 3+ years managing or leading engineers and engineering teams.
• Demonstrated ability to lead multiple highly technical engineering teams and technical leaders while driving effective execution across related teams and initiatives.
• Deep technical fluency with LLM application architecture: RAG, agents and tool use, prompt engineering, fine‑tuning trade‑offs, evaluation methods, and MLOps / LLMOps, with experience developing and scaling reusable AI platforms, agent frameworks, evaluation systems, and observability practices.
• Hands‑on experience shipping and operating production AI services, including APIs, orchestration, cloud infrastructure, cost and latency optimization, and monitoring at scale.
• Track record of building and leading high‑performing engineering teams in a matrixed organization, including blended employee and contractor teams, with demonstrated experience developing engineers and engineering leaders.
• Experience designing evaluation and behavioral measurement for AI systems and using those results to gate releases, improve quality, and inform ongoing technical and product decisions.
• Excellent communication and influence skills, with demonstrated ability to explain complex technical strategy, drive alignment across teams and organizational boundaries, and influence senior stakeholders through complex technical tradeoffs and decisions, including presenting effectively to executive audiences when appropriate.
• Bachelor’s degree in computer science or a related technical field, or equivalent experience; advanced degree a plus.

Nice to Have

• Healthcare, pharma, finance, or other regulated‑industry experience.
• Familiarity with AI governance frameworks (NIST AI RMF), responsible AI practices, and data protection controls.
• Experience with agentic systems, MCP, enterprise agent platforms, or AI evaluation tooling.
• Experience integrating AI into consumer‑scale products.

Engineering teams are responsible for supporting appropriate security controls, including management, operational, and technical controls in addition to general GoodRx best practices, such as reading and adhering to the security policies and procedures, being vigilant and observant of potential security threats, etc.

At GoodRx, pay ranges are determined based on work locations and may vary based on where the successful candidate is hired. The pay ranges below is shown as a guideline, and the successful candidate’s starting pay will be determined based on job‑related skills, experience, qualifications, and other relevant business and organizational factors. These pay zones may be modified in the future. Please contact your recruiter for additional information.

San Francisco And Seattle Offices

$226,000.00 - $361,000.00

New York Office

$207,000.00 - $331,000.00

Santa Monica Office

$188,000.00 - $301,000.00

Other Office Locations

$169,000.00 - $271,000.00

GoodRx also offers additional compensation programs such as annual cash bonuses or commission, and annual equity grants for most positions as well as generous benefits. Our great benefits offerings include medical, dental, and vision insurance, 401(k) with a company match, an ESPP, unlimited vacation, 13 paid holidays, and 72 hours of sick leave. GoodRx also offers additional benefits like mental wellness and 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, and more!

We’re committed to growing and empowering a more inclusive community within our company and industry. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel.

With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, individuals with disabilities, and Veterans to apply for positions even if they don’t necessarily check every box outlined in the job description. Please still get in touch - we’d love to connect and see if you could be good for the role!

GoodRx is committed to providing reasonable accommodations for candidates with disabilities during our recruiting process. If you need any assistance or accommodations due to a disability, please reach out to us at [e-mail].

We prioritize candidate safety. Please be aware that all official communication will only be sent from @goodrx.com or [e-mail] addresses.

GoodRx is America’s healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a tele‑health marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $60 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com.