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Executive Director Technical Product Management Jobs

Applied AI Technical Product Manager

Manhattan, NY · On-site

$184K - $212K/yr

Director, Technical Product Manager: At BNY, our culture allows us to run our company better and ... Drive adoption through executive storytelling and structured change management * Lead a high ...

Technical Product Managers (strategy, roadmap, system definition) * Operational / In-Life Product ... Acts as the primary point of alignment between Product Management, TPM, Engineering, and Executive ...

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Technical Product Manager, HSBC Technology & Services (USA) Inc., New York, NY: Lead process and data optimization for Cross Asset Financing by acting as (or supporting) a Product Owner in agile ...

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Executive Director Technical Product Management information

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How much do executive director technical product management jobs pay per year?

As of Aug 10, 2026, the average yearly pay for executive director technical product management in the United States is $115,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $154,500.00 per year, depending on experience, location, and employer.
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What cities are hiring for Executive Director Technical Product Management jobs? Cities with the most Executive Director Technical Product Management job openings:
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Infographic showing various Executive Director Technical Product Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $115,510 per year, or $55.5 per hour.

Director, Technical Product Management

Jobtailor

Waukegan, IL • On-site

$150 - $190/hr

Other

Posted 28 days ago


Job description

Responsibilities
  • Drive Strategic Product Delivery
  • Own product strategy and execution across platform, developer experience, and digital transformation initiatives.
  • Lead cross-functional teams to deliver complex technology products and capabilities.
  • Identify technical and business risks, drive trade-off decisions, and ensure successful outcomes.
  • Champion AI-enabled approaches to product development and delivery.
  • Define the TPM Practice
  • Create and evolve product management frameworks, standards, and operating processes.
  • Establish intake, prioritization, roadmap governance, and portfolio management practices.
  • Develop metrics and reporting that provide visibility into product performance and delivery effectiveness.
  • Build and Lead the TPM Organization
  • Establish and scale a global Technical Product Management team across global delivery centers.
  • Define team structure, career paths, performance expectations, and development plans.
  • Foster a culture of accountability, continuous learning, and customer focus.
  • Champion the Customer
  • Serve as the voice of the customer, ensuring product decisions are grounded in user needs and business value.
  • Translate complex business challenges into actionable product strategies and roadmaps.
  • Drive adoption, satisfaction, and measurable outcomes for internal and external customers.
  • Set the Standard for Product Excellence
  • Establish high standards for product management, execution, communication, and operational excellence.
  • Continuously improve team effectiveness, delivery quality, and customer outcomes.
  • Influence leaders across engineering, architecture, and business functions.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related technical field.
  • 10+ years of experience in Technical Product Management, Product Management, or related technology leadership roles.
  • Experience leading complex technology products and platforms at enterprise scale.
  • Experience building or transforming product management functions, teams or capabilities.
  • Strong technical background with the ability to engage deeply with engineering and architecture teams.
  • Experience establishing product governance, prioritization frameworks, and portfolio management processes.
  • Practical experience applying AI/ML tools to improve product discovery, delivery, engineering productivity, or decision-making.
  • Excellent communication, stakeholder management, and executive influence skills.
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