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Able

AI-driven software solutions for PE growth

Principal Product Strategist - AI Engagement Leader

Strategy & Management ConsultingConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • 10+ years of relevant experience in product strategy, product management, design strategy, consulting, agency work, startup leadership, or a closely related product leadership role; 10+ years preferred.
  • 2+ years leading product and/or design work through direct management, functional leadership, practice-building responsibility, or leadership of complex multidisciplinary engagements.
  • Strong consulting acumen, including leading client discovery, facilitating workshops, shaping recommendations, and building credibility with senior stakeholders.
  • Experience supporting pre-sales and account growth: participating in early client conversations, framing engagement approaches, contributing to proposals or SOWs, estimating work, and presenting a clear point of view.
  • Demonstrated ownership across the full product lifecycle, from ambiguous opportunity framing and discovery through build, launch, measurement, and iteration.
  • Hands-on experience designing, validating, or shipping AI-enabled products, agents, automations, internal tools, or AI-assisted workflows - with practical judgment about where AI creates leverage and where it introduces risk or unnecessary complexity.
  • Proficiency using AI applications to improve product work, including research, synthesis, workflow analysis, prototyping, requirements, documentation, and delivery practices.
  • Experience partnering directly with product design, software engineering, and AI engineering teams; able to engage in technical feasibility, architecture, data, evaluation, and governance conversations without needing to be the primary engineer.
  • Proven ability to translate messy and sometimes conflicting stakeholder input into a clear problem definition, prioritized opportunity set, and defensible recommendation.
  • Comfort building lightweight business cases and articulating value using incomplete data, explicit assumptions, proxies, and outcome-oriented metrics.
  • Excellent written and verbal communication, including client-facing synthesis briefs, opportunity maps, PRDs, roadmaps, and executive recommendation decks.
  • Startup, consulting, agency, venture studio, or similarly entrepreneurial operating experience strongly preferred.

Responsibilities

  • 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.
  • 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.
  • Support pre-sales efforts by joining early client conversations, helping frame opportunities, developing engagement approaches, contributing to proposals and SOWs, estimating work, and presenting Able's point of view.
  • Identify opportunities to deepen client relationships and expand impact while protecting trust, delivery quality, and a clear understanding of scope and outcomes.
  • Build and evolve Able's product strategy and design discipline: establish methods, standards, AI-enabled workflows, artifacts, and operating practices that enable exceptional client work today and scale with the company over time.
  • Provide functional leadership, coaching, and quality oversight for Able's current PM and design team; establish expectations for strong discovery, strategy, design collaboration, and delivery.
  • Help define the future structure, capabilities, hiring needs, onboarding approach, and internal tooling roadmap for an AI-native product and design practice.
  • Contribute to the strategy and roadmap for Able's internal platform, tooling, and operating systems when those efforts will strengthen client delivery or the broader practice.

About the Company

Able

AI-driven software solutions for PE growth

Able helps Private Equity and Venture-backed companies grow faster by designing, building, and implementing software solutions powered by Artificial Intelligence. It offers tailored software and consultancy that start with identifying opportunities, then building strategic roadmaps and investment plans, and finally delivering custom software and ongoing support. The products work by combining AI-driven development with practical project-based engagements to fix legacy systems, reduce tech debt, and improve customer experiences, operations, and talent efficiency so clients can bring products to market more quickly. Able differentiates itself by pairing hands-on software delivery with strategic guidance focused on growth, cost reduction, and portfolio optimization, supported by a distributed team of builders. Its goal is to help clients achieve faster product delivery, stronger growth, and better profitability through technology.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2008

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