Product Manager
Product
Irving, TX, USA
Posted on Jun 13, 2026
Product Management Fundamentals
- End-to-end ownership: Proven ability to take products from concept to launch and drive continuous iteration.
- Customer obsession: Deep empathy for users; consistently grounds decisions in qualitative and quantitative insights.
- Prioritization: Focuses teams on high-impact work; makes clear, principled trade-offs.
- Strategic thinking: Seamlessly navigates between long-term vision and execution-level decisions.
- Written communication: Produces clear, scalable PRDs, narratives, and decision frameworks.
AI & Technical Fluency
- LLM expertise: Strong understanding of foundation models, including strengths, limitations, and failure modes.
- Prompt & evaluation design: Crafts effective prompts and evaluation frameworks; balances quality, cost, and latency trade-offs.
- AI UX patterns: Experienced in designing chat, copilots, agents, structured outputs, and human-in-the-loop systems.
- Engineering partnership: Reads system designs, asks incisive technical questions, and collaborates effectively with engineering teams.
- Responsible AI: Proactively addresses risks including hallucination, bias, privacy, security, and misuse.
User Experience & Design Sense
- Design collaboration: Works as a peer with design to shape flows, prototypes, and interaction details.
- Quality mindset: Maintains a high bar for usability, polish, and product craftsmanship.
- Accessibility & inclusion: Designs with diverse user needs and accessibility in mind.
Data & Analytics
- Data fluency (SQL): Independently queries and analyzes product data to inform decisions.
- Experimentation: Designs and interprets A/B tests, offline evaluations, and pilot programs.
- Metrics thinking: Defines meaningful success metrics, including input, output, and guardrails.
Leadership & Communication
- Executive communication: Adapts messaging for audiences ranging from working teams to senior leadership.
- Influence without authority: Aligns cross-functional stakeholders to drive outcomes.
- Bias for action: Moves quickly while upholding sound judgment and quality.
- Ownership mindset: Measures success through outcomes, not just output.
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