GoodRx is the trusted platform for prescription access and affordability. The company helps consumers navigate care, cost, and fulfillment so they can start and stay on treatment, while enabling partners to deliver self-pay pricing, affordability programs, and pharmacy access at scale. With a trusted brand, nationwide pharmacy network, and more than 280 million site visits annually, GoodRx reaches consumers at the moments when cost and access are shaping healthcare decisions. Since 2011, GoodRx has helped Americans save over $100 billion on medications.
About The Role
GoodRx is standing up an AI Center of Excellence to take AI initiatives from concept to governed, production-grade deployment. We are hiring a Sr. Engineering Manager, AI and Agents to lead the engineers who build and operate our AI products, agents, and shared platform, including the evaluation and guardrails infrastructure every AI launch at GoodRx runs through. You will lead engineering teams and technical leaders across multiple AI use-case pods and shared platform capabilities, own engineering quality and delivery, and partner closely with the CoE’s lead product manager and enterprise architecture. This is a highly technical leadership role where you will set the engineering bar, develop engineering talent and leaders, guide technical decisions, and ensure the reliable delivery of production-grade AI solutions.
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.
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 accommodations@goodrx.com.
We prioritize candidate safety. Please be aware that all official communication will only be sent from
@goodrx.com or @
ashbyhq.com addresses.
