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Sr. Technical Product Manager

Job in Carrollton, Dallas County, Texas, 75011, USA
Listing for: The Reserves Network
Full Time position
Listed on 2026-08-24
Job specializations:
  • Business
    AI Business & Operations, Product Manager
Salary/Wage Range or Industry Benchmark: 150000 - 165000 USD Yearly USD 150000.00 165000.00 YEAR
Job Description & How to Apply Below

Senior Technical Product Manager | $150,000 - $165,000 + Bonus | Direct Hire | Carrollton, TX What Matters Most:

  • Annual bonus potential with total compensation opportunity up to approximately $230,000
  • Schedule:

    Full-time, Direct Hire; primarily onsite with 35 remote workdays annually
  • Opportunity to become a founding member of a new Product organization and serve as an internal AI product leader
  • Must bring true 0-to-1 digital product experience, meaningful hands‑on AI experience, strong technical depth, and current/recent hands‑on Agile product ownership
Job Description:

Join a growing financial services organization that is building its Product function from the ground up. As a Senior Technical Product Manager, you will lead the discovery, strategy, development, and launch of new digital products, with a particular focus on AI, data, and technology solutions that improve how internal employees work.

This is not a traditional Product Manager role. The organization is looking for someone with significantly more technical depth than a typical Product Manager, someone who can move seamlessly from interviewing end users and defining product strategy to discussing architecture, APIs, integrations, data, AI, cloud platforms, and scalability with Engineering.

Responsibilities:
  • Own the strategy, development, and launch of new AI, data, and technology products focused on improving how internal employees work.
  • Lead true 0-to-1 product development, from discovery and validation through MVP, launch, measurement, and iteration.
  • Identify opportunities for AI-first solutions and evaluate build-vs.

    -buy options.
  • Partner closely with Engineering on architecture, APIs, integrations, data, cloud platforms, scalability, and technical tradeoffs.
  • Remain hands‑on with Agile delivery, including user stories, backlog management, prioritization, sprint planning, and other Scrum ceremonies.
  • Conduct end-user discovery to understand problems, workflows, and opportunities and translate findings into product requirements.
  • Define KPIs and adoption metrics, using data and feedback to guide product decisions and continuous improvement.
  • Collaborate with Engineering, Design, business stakeholders, and senior leadership to establish priorities and drive products from concept through execution.
Qualifications and Requirements:
  • 5+ years of Product Management experience leading digital, SaaS, data, AI, or technology products.
  • Demonstrated 0-to-1 product experience taking a completely new software/digital product from initial concept and discovery through development, launch, measurement, and iteration.
  • Strong technical acumen with the ability to engage Engineering on architecture, APIs, integrations, data, cloud platforms, scalability, and technical tradeoffs.
  • Meaningful hands‑on experience with AI, professionally or personally. Examples may include building or running AI agents, vibe coding, AI-assisted prototyping, developing AI workflows, experimenting with LLMs, or creating AI-enabled products and tools.
  • Experience delivering products leveraging AI, machine learning, analytics, structured/unstructured data, or other data‑intensive technologies.
  • Current or recent experience operating as a hands‑on, full-stack Product Manager within an Agile/Scrum team.
  • Experience personally writing user stories, managing a product backlog, prioritizing work, and participating in Agile ceremonies.
  • Extensive product discovery experience, including personally interviewing end users or customers to understand problems, validate hypotheses, and determine whether solutions should be built.
  • Experience building internal employee‑facing products, productivity tools, workflow solutions, operational platforms, or similar technology is strongly preferred.
  • Strong data‑driven product management skills, including defining KPIs, analyzing usage/adoption, evaluating product‑market fit or business impact, and iterating based on results.
  • Entrepreneurial mindset with the ability to make thoughtful decisions with incomplete information and adjust quickly as priorities evolve.
  • Excellent written and verbal communication skills with the ability to move effectively between executive stakeholders,…
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