Product Strategist, Data & AI

Beeline•Jacksonville, FL

About The Position

The Product Strategist, Data & AI owns the strategy and market narrative for Beeline’s AI-powered experiences and Workforce Intelligence, which turns workforce data into insight, new revenue, and trusted decisions for people and AI agents. The role is accountable for growth through new revenue, cost optimization, and portfolio expansion, with measurable milestones tied to corporate strategic intents. It combines product strategy and product marketing, with one owner responsible for both the strategy and how it is taken to market. The role communicates the vision and strategy to product management, engineering, data, and go-to-market partners, building alignment through clarity, credibility, and evidence. It shapes investment decisions, data products, monetization, market positioning, adoption measures, and launch plans. It also leads the AI Governance & Compliance Analyst and owns at least one AI capability to build, pilot, or adopt.

Requirements

Experience in product strategy, product management, product marketing, corporate strategy, or business development in B2B SaaS.
Track record of developing 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, and strong executive communication.
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 Beeline’s strategic assets and insights as data products, defining their meaning, freshness, confidence, and recommended actions 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 the evolution of AI and data at leading SaaS companies; use findings to shape positioning and the roadmap.
Define adoption and outcome measures for AI and data products, and work with AI platform teams to ensure high-stakes capabilities retain human decision-making and meet trust and regulatory requirements.
Lead launch strategy and create sales enablement content; serve as a subject matter expert with key customers, prospects, and partners in sales and solution design.
Measure post-release outcomes, recommend whether to continue, adjust, or stop work, 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.