Jobs · Marketing

Principal Product Strategist, AI Engagement Leader

Able · Florida City, FL · 2 wk ago
RemoteRemoteMarketingContract

About the role

The Principal Product Strategist, AI Engagement Leader will lead discovery, frame opportunities, align decision-makers, define the path to value, and remain accountable as recommendations become product decisions and product decisions become shipped software. The role also helps shape how Able itself works: improving the use of AI across strategy, design, and delivery, and creating a repeatable product discipline that strengthens every engagement.

Responsibilities

  • Client and Engagement Leadership
    • Build and maintain trusted client relationships, serving as a senior thought partner to product, business, technical, and executive stakeholders.
      • Lead discovery on client engagements: stakeholder interviews, workflow and process analysis, opportunity framing, AI use-case mapping, value articulation, and prioritized recommendations.
        • Bring structure to ambiguous problem spaces by surfacing assumptions, clarifying decisions, making risks and tradeoffs visible, and creating shared alignment around the path forward.
          • Facilitate executive workshops and working sessions that move teams from disconnected input to clear priorities, product direction, and next steps.
            • Develop clear, persuasive written artifacts - including briefs, opportunity maps, product strategy documents, PRDs, roadmaps, and client-facing recommendation decks.
  • Product Ownership, Delivery, and AI Product Strategy
    • Maintain product ownership through build and implementation: translating strategy into buildable work, supporting sprint planning and backlog decisions, and keeping delivery grounded in client outcomes.
      • Partner closely with product design, engineering, and AI engineering to validate feasibility, shape product and architecture tradeoffs, and make practical sequencing decisions.
        • Define outcome hypotheses, success measures, and learning plans; help clients make decisions that balance user value, business impact, feasibility, governance, and time-to-value.
          • Help clients identify, evaluate, and design AI-enabled products and workflows, including agentic experiences, automation opportunities, human-in-the-loop decisions, evaluation approaches, privacy, security, reliability, and change-management needs.
            • Use AI as an extension of the product practice - accelerating research, synthesis, prototyping, documentation, and delivery workflows while maintaining quality and judgment.
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