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.

What Success Looks Like

• 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.

Responsibilities

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

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