About The Position

At Adstra we know great things happen when people come together with one shared goal. The future of data is happening at Adstra. Come join our growing team. We are currently seeking a Director, Product Management (Data & Identity) to join our team of professionals. This leader will own product strategy and outcomes for key parts of Adstra’s identity and data platform and solutions portfolio. The ideal candidate brings deep experience in data + identity and adtech/martech ecosystems (e.g., identity resolution, onboarding, clean rooms, measurement/attribution, activation, privacy-safe data collaboration), and has operated in environments similar to LiveRamp, TransUnion, Epsilon, and other data/identity providers and adjacent platforms. This role requires a modern product leader with: product passion, customer empathy, strong judgement, high integrity, crisp communication, and a relentless focus on outcomes. You’ll lead empowered product teams to solve meaningful customer and business problems—shipping is necessary, but not sufficient. You will sign up for measurable results and influence cross-functionally through strong product sense, data, and narrative.

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.

Responsibilities

  • 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. Participate in hiring, onboarding, coaching, and performance management to build diverse, inclusive, high-performing product teams.
  • 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), including:
  • Using AI tools to accelerate research synthesis, prototyping, and analytics workflows while maintaining rigorous judgement and validation.
  • Identifying opportunities to embed AI/ML into identity and data products (e.g., matching/linkage quality, entity resolution, propensity scoring, anomaly detection, automated governance) with clear ROI and guardrails.
  • Partnering with Engineering/Data Science to evaluate model performance, monitoring, bias/fairness concerns, explainability, and privacy-safe learning patterns.
  • Set standards for responsible AI usage aligned with customer trust, contractual obligations, and privacy/compliance requirements.

Benefits

  • Adstra offers excellent benefits including medical, dental, vision, life, LTD, 401k w/ company match, paid time off, business casual dress, summer hours, customized training & more!
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