Director, Data Product and Growth Strategy at LegitScript in Remote (United States)

Job description

• LegitScript's next stage of growth starts with finding it. The Director, Data Product and Growth Strategy owns that search: the next vertical, the size of the opportunity, the shape of the competitive field, and the business case that turns a market signal into a funded product. This is a strategy role with commercial accountability, not a research role. Success is measured in revenue paths opened, not documents produced.
• You will own the front half of the product lifecycle — market problems, segmentation, positioning, pricing, and portfolio direction — and hand validated, quantified opportunities to product management and engineering for execution. You will also build the mechanism that moves market intelligence through LegitScript: collecting customer, competitive, and partner signals on a regular cadence, turning them into a point of view, and pushing that point of view up to the executive team and down into roadmaps.

Responsibilities

• Identify and validate new verticals, categories, and product offerings that expand LegitScript's addressable market beyond current lines of business.
• Discover and validate market problems through structured interviews with customers, recent evaluators, and untapped prospects, backed by evidence rather than anecdote.
• Map the competitive and alternative-solution landscape, including emerging entrants and adjacent-category threats, and develop a strategy for winning against each.
• Build a repeatable market-intelligence system covering win/loss analysis, competitive tracking, customer discovery, and emerging-market research.
• Define target markets, analyze segments, and confirm that the segments LegitScript pursues are large enough to support both current and future business.
• Determine which distribution channels, including direct, partner, and referral, align with buying preferences in each target segment.
• Own the multi-quarter product roadmap as a statement of vision and sequencing, and partner with product management and engineering to translate it into committed delivery plans.
• Build business plans and financial models, in collaboration with finance, that give the executive team a clear basis for investment decisions.
• Establish pricing, packaging, and distribution strategy for new and existing offerings.
• Recommend build, buy, or partner paths for each identified market problem, including the partner profile and terms required to make the path work.
• Create the value propositions that differentiate LegitScript in the mind of the buyer relative to competitors.
• Partner with product management to hand off validated opportunities with a clear problem definition, target segment, success criteria, and commercial rationale.
• Present investment recommendations to the executive team with a clear position and a defensible model behind it.

Requirements

• 10+ years across product strategy, corporate strategy, product management, or business development, including time in B2B SaaS, fintech, regtech, compliance, or trust and safety.
• Ability to structure an ambiguous commercial question, build the analysis that answers it, and defend the conclusion in front of an executive audience.
• Direct experience monetizing data, including ownership of a data product sold or licensed externally, whether standing up a new licensed offering or growing an established data feed business.
• Hands-on data fluency, including comfort running queries against large datasets independently, writing SQL, and working in Python on platforms such as Databricks and Power BI to size datasets, test coverage and field quality, and produce the evidence behind pricing and packaging decisions.
• Working knowledge of what AI developers and operators of detection systems need from third-party data, including coverage and recall, confidence thresholds, schema and field-level utility, freshness, and delivery by batch export and near real-time API.
• Written and verbal communication strong enough to carry a business case through executive scrutiny and make a data product understandable to a buyer with no technical background.
• Experience with financial modeling, including market sizing, pricing analysis, unit economics, and investment cases, in collaboration with finance.
• Experience negotiating or structuring data licensing and data-sharing agreements, including commercial terms, usage rights, and exclusivity.
• Experience running structured customer discovery, with the judgment to apply product strategy frameworks rather than follow them mechanically.
• Enough familiarity with the legal and contractual limits on data licensing, including permitted use, provenance, and privacy, to design products that clear them and to know when counsel is required.
• Ability to influence across product, engineering, research, sales, and executive stakeholders without formal authority.
• Strategy consulting background, ideally at a firm known for analytical rigor and executive-level problem structuring, followed by time operating inside a company.
• Direct experience driving AI transformation at a software company, including product repositioning, pricing and unit-economics changes, and separating durable AI advantage from table stakes.
• Domain experience in payments, healthcare, pharmaceuticals, supplements, financial crime, marketplaces, or advertising platforms.
• Living proximity to Portland, Oregon.

Skills

Required

• SQL
• Python
• Databricks
• Power BI
• Financial modeling
• Market sizing
• Pricing analysis
• Unit economics
• Structured customer discovery
• Product strategy frameworks
• Influence without authority
• Written and verbal communication

Preferred

• Strategy consulting
• AI transformation