Principal Product Strategist, AI Engagement Leader

Back in 2012, we were a group of engineers and designers who decided we wanted to build things, so we did. Able started as an engineering and product hub building for a portfolio of early-stage startups. We built many relationships while developing products that were thoughtful, effective, and genuinely useful. But, since then, we’ve grown… and so has our ambition.

Now, we’re entering our next chapter, defined by applied AI. AI is a powerful force in the end-to-end software development cycle, and we’re creating practices that allow us to deliver software fast and more effectively than traditional approaches, creating meaningful value for our partners. Today, our builder mindset is driving us to become an AI-native organization across every function. We’re still evolving, and that’s part of the opportunity. If you want to build, learn, and tackle challenges alongside an ambitious team, let’s build together.

About the Role at Able

Able is an AI-native product engineering firm. We partner with organizations that need to move faster, use AI more effectively, and build products that reflect how their teams and customers actually work. We work alongside our clients - embedded, fast, and outcome-obsessed - across industries and stages of product maturity.

This role sits at the center of those engagements. 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.

What Success Looks Like

Clients view this person as a trusted senior partner who can make complex, ambiguous work feel clear and actionable.

Able produces more consistent, rigorous discovery, product strategy, workflow analysis, and recommendation artifacts across engagements.

AI opportunities are evaluated pragmatically - with attention to user value, workflow readiness, data, governance, feasibility, evaluation, and change management.

The current PM and design team receive stronger coaching, clearer standards, and better tools to do exceptional work.

Able has a practical roadmap for the future product strategy and design practice, including capabilities, hiring needs, and AI-enabled ways of working.

Experience

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.