Product Strategist, Data & AI

BEELINE•Jacksonville, FL

2d•Onsite

About The Position

The Product Strategist, Data & AI owns the strategy and market narrative for Beeline’s AI-powered experiences and Workforce Intelligence, an intelligence layer that turns workforce data into insight, new revenue, and trusted decisions for people and AI agents. The role aims to drive growth through new revenue, cost optimization, and portfolio expansion, with milestones and success criteria aligned to corporate strategic intents. It combines product strategy and product marketing, making one owner accountable for both the strategy and how it is taken to market. The role communicates the product vision and strategy to align product management, engineering, data, and go-to-market partners. It oversees investment choices, monetization proposals, competitive analysis, adoption and outcome measures, launches, and post-release reviews. It also leads the AI Governance & Compliance Analyst and owns at least one AI capability to build, pilot, or adopt, along with the product context pack and reusable AI-supported work practices.

Requirements

Experience in product strategy, product management, product marketing, corporate strategy, or business development in B2B SaaS.
Track record of investment cases, pricing or packaging, and launches that improved revenue or retention.
Experience running win/loss and competitive analysis and translating findings into strategy.
Strong financial acumen, including business models, break-even analysis, and unit economics, as well as executive communication skills.
Demonstrated daily use of generative AI in strategy, research, or content workflows, with working knowledge of how AI, agents, and data products are built, priced, and adopted.
Experience defining, launching, or monetizing AI or data products, including adoption and outcome measures such as accuracy, usage, hours saved, or cost per outcome.
Understanding of how AI agents and assistants access and act on enterprise data and what makes data trustworthy for them, including definitions, quality, freshness, and governance.
Familiarity with AI risk and regulation, such as the EU AI Act, and with designing human-in-the-loop controls.

Nice To Haves

Knowledge of contingent workforce, HCM, procurement, or VMS.

Responsibilities

Define and own the strategy for AI-Powered Experience and Workforce Intelligence, including a three-year vision and a one-year plan with measurable success criteria tied to Beeline’s strategic intents.
Curate strategic assets and insights as data products, defining their meaning, freshness, confidence, and recommended action for consistent use across experiences and AI agents.
Decide which problems to invest in and recommend build, buy, or partner options supported by investment cases, market data, cost, and schedule.
Own pricing, packaging, and monetization proposals for AI and data offerings in partnership with Finance, Sales, Marketing, and the pricing and packaging lead.
Review deal wins and losses, direct competitors, and developments in AI and data among leading SaaS companies; use findings to shape positioning and the roadmap.
Define adoption and outcome measures for AI and data products, and partner with AI platform teams to keep people involved in high-stakes decisions and meet trust and regulatory requirements.
Lead launch strategy and develop sales enablement content; serve as a subject matter expert with key customers, prospects, and partners in sales and solution design.
Measure outcomes after release, recommend whether to continue, adjust, or stop, and report at quarterly reviews.
Lead the AI Governance & Compliance Analyst, set analysis priorities, and guide regulatory and compliance work aligned with the AI strategy and Beeline’s trust foundation.
Own at least one AI capability to build, pilot, or adopt, and report its adoption and hours saved.
Own the product context pack—including strategy, positioning, packaging, and product facts—so AI tools use a consistent source.
Build and share reusable skills for recurring work such as competitive briefs, win/loss synthesis, and enablement drafts.
Use agents for continuous market and competitor monitoring while ensuring judgment, claims, and commitments remain with people.