Technical Product Manager - Enterprise AI & IT - Austin

Redis

$101K — $127K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of product management, technical program management, or related experience
  • Experience in running AI enablement and transformation initiatives
  • Hands-on experience evaluating AI products and automation workflows
  • Strong understanding of AI quality, risk considerations, and enterprise IT concepts
  • Excellent written and verbal communication skills tailored for different audiences

Responsibilities

  • Own the project and product intake process for Enterprise AI and IT
  • Maintain and communicate a clear roadmap across IT platforms and AI capabilities
  • Lead cross-functional initiatives from problem definition through launch
  • Translate business pain points into well-defined opportunities and user stories
  • Identify and lead Enterprise AI use cases including workflow automation
  • Design test scenarios for AI automation and evaluate reliability
  • Coordinate pilots and rollouts with effective change communications

Benefits

  • Unlimited time off
  • Learning and development opportunities
  • Comprehensive health and wellness benefits
  • 401(k) plan
  • Potential discretionary bonuses and stock options
Full Job Description
The Team

Why will you enjoy this new opportunity?

You will sit at the intersection of Product, IT, and the broader business, helping the team focus on the highest-value work. This role combines classic technical product management with hands-on Enterprise AI delivery: you will create clarity from intake, shape roadmaps, communicate tradeoffs, and personally test and validate the automations and agents that improve how work gets done. You will partner with technical and business leaders in a fast-moving environment where thoughtful experimentation and operational rigor matter.

The Role

What type of work will you be doing:
• Own the project and product intake process for Enterprise AI and IT; create lightweight standards for requests, discovery, prioritization, sizing, and decision-making.
• Maintain and communicate a clear roadmap across IT platforms, internal tools, AI capabilities, and automation initiatives; make dependencies, risks, milestones, and tradeoffs visible.
• Lead cross-functional initiatives from problem definition through launch and adoption, coordinating Engineering, IT, Security, Data, Legal/Compliance, Operations, and business stakeholders.
• Translate business pain points into well-defined opportunities, requirements, user stories, success measures, acceptance criteria, and delivery plans.
• Identify, evaluate, and lead Enterprise AI use cases, including workflow automation, knowledge assistants, copilots, and task-oriented agents.
• Be hands-on with AI automation and agents: design test scenarios, create representative test data, evaluate accuracy, reliability, and safety, document findings, and drive improvements before release.
• Establish practical validation and monitoring approaches for prompts, tools, permissions, data access, human-in-the-loop controls, and failure modes.
• Coordinate pilots and rollouts; manage change communications, enablement, documentation, and feedback loops so solutions are adopted and produce measurable value.
• Provide concise executive and stakeholder communications on progress, decisions, outcomes, and risks; partner with IT on platform and vendor evaluations, integrations, incident follow-up, and operational readiness.

What You'll Bring

Your experience and strengths:
• 5+ years of product management, technical program management, business systems, IT, or related experience, with a track record of delivering cross-functional technology initiatives.
• Experience running AI enablement and transformation initiatives from pilot to production.
• Curiosity, pragmatism, and a builder mindset; willing to get into the details, learn new tools quickly, and improve the system after every iteration.
• Experience managing an intake process and roadmap across multiple stakeholders, balancing strategic priorities with urgent operational needs.
• Working knowledge of enterprise IT concepts, SaaS applications, integrations and APIs, identity and access management, data flows, security, and change management.
• Hands-on experience evaluating AI products, automation workflows, or agents; comfortable testing real scenarios, probing edge cases, and separating demos from dependable solutions.
• Strong understanding of AI quality and risk considerations, including accuracy, groundedness, privacy, permissions, security, reliability, observability, and human oversight.
• Ability to turn ambiguous business problems into clear product requirements, experiments, acceptance criteria, and measurable outcomes.
• Strong written and verbal communication skills; able to tailor a message for executives, technical teams, and business users.
• Strong judgment, organization, and follow-through; comfortable making progress with incomplete information and changing priorities.
• Experience in a startup, high-growth, or software/SaaS company is ideal.

Language for US is"The estimated gross base annual salary range for this role is 101 000 - 127 000 USD per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate's work location, qualifications, experience, and competencies. Base annual salary is one component of Redis' total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available."

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