Set product operating rhythms (planning, discovery, delivery, launch readiness) and ensure teams are aligned to clear outcomes (OKRs/KPIs).
Partner closely with Engineering and Design leadership to maintain durable, empowered product teams with strong discovery capabilities.
Establish high standards for product strategy, discovery artifacts, written narratives, and decision-making quality.
Lead, mentor, and develop a team of Product Managers, fostering a culture of accountability, innovation, and continuous improvement.
Own product strategy and roadmap for assigned areas of Adstra’s data and identity offerings, grounded in customer needs, market dynamics, and measurable business outcomes.
Lead modern product discovery and delivery: continuously identify problems worth solving, validate solutions quickly, and ship iteratively to drive adoption, retention, revenue, and customer value.
Serve as the accountable leader for value and viability—ensuring solutions are loved by customers and workable across the business (privacy, security, legal, compliance, finance, sales, delivery, and operations).
Develop deep customer and industry expertise across identity and data workflows (collection, resolution, enrichment, governance, activation, measurement) and translate insights into product advantage.
Create crisp positioning and product narratives in partnership with Product Marketing, Marketing, and Sales; enable GTM teams with compelling value propositions, pricing/packaging input, and competitive differentiation.
Partner with Engineering to define platform capabilities, API contracts, reliability/latency expectations, data quality metrics, and roadmap sequencing that supports scalable delivery.
Define and monitor success metrics (OKRs/KPIs), instrumentation, experimentation approaches, and feedback loops to drive continuous improvement.
Navigate complexity and constraints typical to the category: privacy-by-design, consent, data rights, identity graph quality, partner dependencies, and evolving regulation and platform policies.
Build alignment across stakeholders (Sales, Customer Success, Delivery, Legal/Privacy, Security, Data Science, Partnerships) and make clear tradeoffs with sound judgement.
Represent Product leadership in executive and customer-facing settings; communicate strategy, progress, risks, and decisions through structured, data-informed narratives and presentations.
Travel required; expected to participate in key customer/partner meetings, QBRs, and industry events to deepen customer empathy and sharpen product strategy.
Demonstrate strong AI literacy and apply AI thoughtfully across the product lifecycle (discovery, delivery, operations).
Requirements
Deep domain experience in data/identity and adtech/martech ecosystems; understands identity resolution, onboarding/activation, measurement, clean rooms, and partner/platform dynamics.
Demonstrated ability to lead empowered product teams to outcomes using modern discovery methods (rapid prototyping, customer testing, data-informed decisions).
Strong product sense: customer empathy, market insight, business viability instincts, and mastery of product tradeoffs.
Exceptional written and verbal communication; able to influence through structured narratives, clear thinking, and data/logic—without relying on authority.
High integrity and strong collaboration skills; builds trust across Product, Engineering, Design, Sales, Legal/Privacy, and customer teams.
Proven ability to maintain focus, avoid “feature factory” dynamics, and drive toward the smallest set of changes that create the largest impact.
Strong analytical capability: defines metrics, reads signals, and translates ambiguity into prioritized action.
Comfortable operating in a fast-paced, high-accountability environment; a true “CEO of the product” mindset with ownership of results.
Bachelor’s degree in a related field or equivalent practical experience (technical degree preferred).
8+ years of experience building technology products, including 3+ years leading product teams.
Experience shipping data-intensive platforms, APIs, or enterprise SaaS products; experience with identity/data products strongly preferred.