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About This Role
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
We are seeking a highly motivated and experienced Senior Manager, Application Development to lead the design, development, and delivery of enterprise-scale applications, APIs, integrations, and AI-enabled solutions supporting key business capabilities. This role will be responsible for managing high-performing engineering teams while driving modernization initiatives across cloud-native platforms, microservices architectures, and AI-powered solutions.
The ideal candidate brings deep expertise in AWS cloud technologies, API and integration delivery, microservices architecture, AI-assisted software development, and healthcare technology platforms. This leader will oversee end-to-end solution delivery, provide technical direction to engineering teams, and partner closely with business, architecture, product, and operations stakeholders to build scalable, secure, and innovative solutions.
This role requires a balance of people leadership, technical leadership, strategic planning, and execution excellence to deliver transformational capabilities that improve customer experiences, operational efficiency, and business outcomes.
Key Responsibilities
Engineering Leadership
- Lead, mentor, and develop high-performing engineering teams focused on application development, APIs, integrations, and cloud solutions.
- Foster a culture of innovation, accountability, continuous learning, and engineering excellence.
- Drive workforce planning, talent development, performance management, and succession planning.
Application Delivery & Execution
- Own end-to-end delivery of enterprise applications, APIs, integrations, and modernization initiatives.
- Partner with business, product, architecture, and operations teams to deliver solutions aligned with strategic objectives.
- Manage project scope, timelines, budgets, risks, dependencies, and quality outcomes.
Cloud & Microservices Architecture
- Lead development of cloud-native applications on AWS using modern architecture patterns.
- Drive adoption of microservices, event-driven architecture, reusable services, and API-first design principles.
- Ensure solutions meet enterprise standards for scalability, security, availability, and performance.
API & Integration Leadership
- Oversee the design, development, and governance of enterprise APIs and integration platforms.
- Establish standards for API lifecycle management, security, documentation, and reuse.
- Deliver scalable integrations across internal, external, and third-party systems.
AI Engineering & Intelligent Automation
- Drive adoption of AI-assisted software development tools such as Claude Code, GitHub Copilot, Cursor AI, Amazon Q, and similar technologies.
- Lead development of AI-powered applications, AI agents, and intelligent workflow automation solutions.
- Promote responsible AI practices, governance, and security within engineering teams.
Data & Technology Management
- Oversee application data architecture leveraging both SQL and NoSQL technologies.
- Ensure effective implementation of data integration, analytics, and event-driven solutions.
- Collaborate with enterprise architecture teams to define technology roadmaps and modernization strategies.
Engineering Excellence
- Champion Agile, DevOps, DevSecOps, CI/CD, quality engineering, and observability practices.
- Drive continuous improvement in software delivery, operational efficiency, and customer experience.
- Ensure compliance with healthcare industry regulations, including HIPAA and CMS requirements.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
- 10+ years of progressive software engineering and application development experience.
- 5+ years of technical leadership and people management experience.
- Proven experience leading distributed engineering teams delivering enterprise-scale software solutions.
- Strong experience designing and implementing cloud-native applications on AWS.
- Deep experience with microservices architecture and domain-driven design.
- Proven experience delivering large-scale API and integration programs.
- Strong knowledge of REST APIs, API Gateway technologies, OpenAPI/Swagger, and API lifecycle management.
- Experience developing applications using Java, Spring Boot, Python, Node.js, or similar modern platforms.
- Experience building and scaling enterprise integrations and event-driven architectures.
- Experience working with SQL and NoSQL database technologies.
- Hands-on experience with AI-assisted coding platforms such as Claude Code, GitHub Copilot, Cursor AI, Amazon Q, or similar tools.
- Experience implementing AI agents and agentic workflows integrated with enterprise applications.
- Strong understanding of Agile delivery methodologies and software engineering best practices.
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 11/30/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Salary Context
This $106K-$260K range is below the median for AI Product Manager roles in our dataset (median: $193K across 99 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 9,653 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At CVS Health, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $220,200 based on 862 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $228,700. This role's midpoint ($183K) sits 17% below the category median. Disclosed range: $106K to $260K.
Across all AI roles, the market median is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,275; VP: $235,000.
CVS Health AI Hiring
CVS Health has 10 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer, MLOps Engineer, AI Software Engineer. Positions span UT, US, Tallahassee, FL, US, TX, US. Compensation range: $231K - $334K.
Location Context
Across all AI roles, 6% (568 positions) offer remote work, while 9,010 require on-site attendance. Top AI hiring metros: New York (2,878 roles, $221,000 median); San Francisco (2,413 roles, $264,500 median); Los Angeles (1,340 roles, $210,000 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 9,653 open positions tracked in our dataset. By seniority: 193 entry-level, 4,500 mid-level, 3,455 senior, and 1,505 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (568 positions). The remaining 9,010 roles require on-site or hybrid attendance.
The market median for AI roles is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 9,653 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (7,301), Data Scientist (441), AI Software Engineer (438). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (193) are outnumbered by mid-level (4,500) and senior (3,455) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,505 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (568 positions), with 9,010 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,400. Top-quartile roles start at $264,230, and the 90th percentile reaches $319,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $253,100 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,605 postings), Aws (916 postings), Azure (724 postings), Rag (634 postings), Gcp (522 postings), Pytorch (495 postings), Kubernetes (384 postings), Claude (383 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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