VP, AI Strategy & Deployment
Job
GoodRx
Santa Monica, CA (In Person)
Full-Time
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Job Description
VP, AI Strategy & Deployment 3.6 3.6 out of 5 stars 233 Wilshire Blvd Ste 990, Santa Monica, CA 90401 $334,000
- $583,000 a year
- Full-time GoodRx 27 reviews $334,000
- $583,000 a year
- Full-time GoodRx is the leading prescription savings platform in the U.
Focus includes:
patient-program matching, adherence orchestration, manufacturer ROI intelligence, and Employer Direct automation. Year 1 focus includes Pharma Direct and a targeted set of additional high-impact workflows, with clear expectations for production deployment and measurable business outcomes. AI Platform Direction . In partnership with Engineering, you will set business-driven requirements and priorities for AI platform evolution. Translate business needs into platform requirements and drive prioritization in partnership with Engineering and Data leaders; Engineering retains ownership of design and delivery. Enterprise AI Adoption. Own enterprise adoption of AI solutions across priority business functions. Partner with functional leaders to identify, prioritize, and deploy AI into key workflows (e.g., sales enablement, customer support, finance, legal operations), and ensure sustained adoption. Establish repeatable playbooks for AI deployment and adoption. AI Governance & Trust . Own the establishment of AI governance standards in partnership with Legal, Security, and Data teams. This includes hallucination monitoring, bias detection, audit trails, HIPAA/FTC compliance, and the principle that AI in healthcare must assist and clarify, not replace clinical judgment. Sponsor's AI Maturity Partnership . Drive the executive relationship with Sponsor's technology team on AI maturity scoring and alignment. Ensure GoodRx's maturity ratings accurately reflect deployed capabilities, in-flight initiatives, and enterprise progress toward S3. Represent GoodRx at portfolio-level forums (including the CXO events), communicating progress, priorities, and outcomes. Success in this role is defined by how quickly and effectively GoodRx translates AI capability into production deployments with measurable business impact (revenue, efficiency, or cost savings) and sustained adoption across business functions. What You Will Not Own This role does not own Data, Engineering, or Product teams. You operate as a peer and partner to those leaders, shaping priorities and outcomes without direct ownership of their teams or headcount. Profile & Qualifications Deep technical fluency in modern AI/ML . Ability to evaluate and select the right approach for given a problem (e.g. fine-tuning vs. RAG vs. agentic workflow vs. classical ML) and set direction accordingly. Strong understanding of modern AI systems, including transformer architectures, embedding models, vector databases, prompt engineering, agent orchestration patterns (e.g. MCP, tool use, multi-step reasoning), and MLOps at production scale. You do not need to write production code, but you are expected to set solution direction and hold teams accountable to a high technical bar. Experience deploying AI across business functions . This is not a research or pure engineering role. We need someone who has a proven track record of owning and driving AI from concept to production across multiple business domains (commercial, operational, and analytical). Experience deploying AI outside of engineering or product (e.g., in sales enablement, legal operations, finance, customer support) is essential. This is a core differentiator for this role. Enterprise leadership and cross-functional influence . You have demonstrated the ability to drive enterprise-wide adoption across functions without direct ownership. This requires exceptional stakeholder management, the ability to build credibility quickly with senior leaders, and a track record of driving meaningful change through influence, prioritization and alignment. Healthcare, pharma, or regulated industry experience . Preferred, not required. Experience navigating compliance, privacy, and trust considerations in AI in healthcare deployments is highly valuable. Experience in other regulated industries (e.g. financial services, insurance), is also applicable. Executive communication . You have experience presenting to senior executives, including the CEO and Board-level stakeholders, as well as external partners. You have the ability to translate complex AI capabilities into clear business impact, driving alignment and trust with non-technical stakeholders. AI Platform & Capabilities Our AI ecosystem includes LLM platforms (Vertex AI, OpenAI), RAG pipelines with vector search, and agentic architecture supporting multi-step reasoning and tool use. We operate on a modern data and ML stack (Databricks, BigQuery, MLflow, Looker) with a composable agent library and product-grade MLOps practices. AI solutions are deployed through the standard GoodRx SDLC, with governance, evaluation, and compliance integrated into delivery. Why This Role Matters Now The Sponsor has established an S1 to S3 AI maturity mandate across their portfolio, setting clear expectations for enterprise AI adoption and impact. S3 represents a future state where autonomous AI agents complete end-to-end workflows. GoodRx is currently at S2 and progressing toward S3. This role is accountable for accelerating the deployment velocity required to achieve that transition. Impact will be visible at the board level, across the Sponsor's portfolio, and directly reflected in company performance. All GoodRx employees are responsible for reviewing and complying with all Company safety and security policies and procedures, being vigilant and observant of potential security threats (including phishing attempts) and proactively communicating with the Security Team to raise any concerns. 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 are 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:
$365,000.00- $583,000.
New York Office:
$334,000.00- $535,000.
Santa Monica Office:
$304,000.00- $486,000.
Other Office Locations:
$274,000.00- $437,000.
- we'd love to connect and see if you could be good for the role!
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