Senior Staff Product Manager, Tech Strategic Program: AI Apps & Tools

Join Tech Strategic Programs as a Senior Staff Product Manager for AI Applications & Tools. Recognized by the CTO as one of the company's most AI-progressive teams, we are building a portfolio of AI-native products that transform human-heavy workflows into faster, trusted, and scalable operating mechanisms for CTO Staff and the broader Tech ecosystem. A key product in the portfolio is the Tech Leadership Hub, an AI-native experience serving the CTO, CTO Staff, and Tech leaders across the ecosystem.

It continuously synthesizes signals, surfaces personalized insights and emerging risks, and recommends next-best actions to accelerate decisions and outcomes. You will identify the highest-value problems, translate them into bold product experiences and AI-powered workflows, and lead cross-functional teams from experimentation through scaled adoption. This role requires an AI-first, consumer-grade product mindset—building personalized, proactive tools that deliver measurable value, drive repeat engagement, and scale organically across the Tech ecosystem.

Success means more than shipping features. You will own product-market fit, customer value, adoption, retention, engagement, and expansion across the portfolio.

• A clear and compelling strategy is established for the AI Applications & Tools portfolio.
• High-value AI-native products move rapidly from experimentation to scaled adoption.
• The Tech Leadership Hub becomes an indispensable experience for the CTO, CTO Staff, and Tech leaders.
• Customers repeatedly use and recommend the products because they materially improve how work gets done.
• The portfolio delivers measurable gains in speed, decision quality, adoption, customer value, and human effort saved.
• The team establishes a repeatable model for turning AI innovation into trusted, scalable enterprise products.

Define the AI-native product strategy

• Set the vision, strategy, and outcome-based roadmap for the AI Applications & Tools portfolio.
• Identify high-value customer and business problems where AI can materially improve speed, quality, decision-making, and scale.
• Reimagine workflows from first principles and determine where to build reusable products, shared capabilities, or platform services.

Build products customers value

• Develop deep insight into customer workflows, friction points, unmet needs, and jobs to be done.
• Partner with design and engineering to deliver simple, trusted, consumer-grade AI experiences.
• Build personalized, proactive products that surface insights, risks, decisions, and next-best actions.

Drive adoption and engagement

• Own adoption from launch through broad Tech ecosystem scale.
• Apply product-led growth principles to accelerate time to value, repeat use, collaboration, sharing, and organic discovery.
• Build scalable customer education, champion, feedback, co-creation, and advocacy programs.

Lead experimentation and execution

• Move rapidly from concept to prototype, validated learning, launch, and scale.
• Lead cross-functional teams across engineering, design, data, analytics, architecture, and technical program management.
• Balance speed and innovation with responsible AI, security, privacy, accessibility, trust, and scalability.

Establish measurable outcomes

• Define product metrics that connect customer behavior to operational and business value.
• Measure activation, engagement, retention, advocacy, effort saved, decision speed, and AI quality.
• Use product intelligence to guide priorities, investments, and executive recommendations.

Lead across the Tech ecosystem

• Build strong partnerships across CTO Staff, product, engineering, data, architecture, security, legal, and enterprise platforms.
• Align senior leaders around a shared product vision, priorities, roadmap, and investment strategy.
• Raise the product management bar through strong judgment, coaching, evangelization, and hands-on leadership.

• Professional
  
  Experience:
  
  10+ years of relevant experience, including at least 5 years in technical product management leading internal applications, enterprise tools, platforms, or shared services.
• AI Proficiency:
  Demonstrated expertise in applying generative AI,…