Technical Product Manager - Enterprise AI & IT - Austin

Redis•Austin, TX

1d•$101,000 - $127,000•Onsite

About The Position

This role sits at the intersection of Product, IT, and the broader business, focusing on the highest-value work. It combines classic technical product management with hands-on Enterprise AI delivery. The position involves creating clarity from intake, shaping roadmaps, communicating tradeoffs, and personally testing and validating automations and agents that improve how work gets done. The role requires partnering with technical and business leaders in a fast-moving environment where thoughtful experimentation and operational rigor are important.

Requirements

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.

Nice To Haves

Experience in a startup, high-growth, or software/SaaS company is ideal.

Responsibilities

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.