Director of Product Management, PulsePoint

• This role demands someone with a strong foundation in ad tech optimization algorithms, the ability to build trusted relationships with data science researchers, and the commercial instinct to turn those capabilities into revenue-generating products
• 8+ years in Product Management with a track record of scaling high-complexity platform products, data infrastructure, or ML/AI products
• Strong background in ad tech optimization algorithms: real-time bidding logic, bid price optimization, CTR/CVR prediction models, pacing and delivery algorithms, or ML-driven campaign performance optimization at scale
• Deep familiarity with AI/ML workflows: scoring logic frameworks, A/B testing methodologies at scale, model evaluation approaches, and predictive modeling lifecycles
• Experience with programmatic advertising data flows, audience targeting mechanics, and identity resolution in a DSP, SSP, or data platform environment
• Proven experience managing external data integrations, measurement vendors, or third-party data partnerships including commercial negotiation
• 2+ years of direct people management of Product Managers in a fast-paced, cross-functional environment
• Strong executive presence; able to translate dense technical concepts into clear commercial value propositions for senior stakeholders, sales teams, and external clients

Desirable

• PulsePoint is seeking a Director of Product Management to lead our Intelligence Group, the team responsible for the machine learning, identity, targeting, and data science capabilities that power our healthcare programmatic advertising platform
• This is a senior leadership role combining deep technical product ownership with commercial vision, sitting at the intersection of data science engineering and ad tech
• The Intelligence Group owns five product streams: a real-time programmatic optimization engine, AI-powered targeting intelligence, identity resolution and taxonomy infrastructure, third-party data partnerships, and campaign forecasting
• The team translates complex ML models and clinical data signals, including pharmaceutical prescribing activity, diagnosis patterns, and healthcare professional engagement data, into commercially valuable ad products used by the world's leading pharmaceutical and healthcare brands
• You will manage a team of product managers across five streams and report to the Chief Product Officer
• Own the full product strategy for our real-time programmatic optimization engine: factor design methodology, scoring logic architecture, bid optimization models, package configuration, data science workflows, and A/B testing framework
• Drive product ownership of our internal performance analytics and AI platform, scaling self-service capabilities for campaign intelligence, audience quality monitoring, and optimization model performance tracking
• Lead evaluation and productization of emerging optimization capabilities, including clinical outcome measurement integrations (script lift, office visit lift), cost-per-qualified-reach models, and unsupervised optimization research
• Lead the evaluation and RFP process for clinical claims data providers (pharmacy, diagnosis, and procedure data), ensuring resilience and quality of the data signals that power our optimization models
• Act as the strategic gatekeeper and triage lead for AI/ML feature prioritization, coordinating incoming data science requests across all product streams and external commercial partners
• Own our AI-powered targeting recommendation engine and direct real-time contextual AI integrations for pharmaceutical drug, disease context, and AI-driven medical publisher targeting environments
• Lead identity infrastructure modernization including migration to next-generation vendors (Experian, UID2.0, ID5), unification of identity architecture across PulsePoint and WebMD/Medscape publisher properties, and assessment of major industry identity shifts on onboarding and clean-room capabilities
• Own migrations to modern taxonomy frameworks (IAB 3.1, MeSH 2025) and NPI (National Provider Identifier) level targeting and reporting infrastructure for healthcare professional campaigns
• Manage strategic data vendor relationships across verification, demographic enrichment, identity onboarding, and clinical outcomes measurement; own the product side of integrations with major healthcare data providers
• Oversee specialized audience products: healthcare professional (HCP) targeting, decision-maker and executive audiences, direct-to-consumer bespoke segments, and NPI-based provider audience management
• Own the campaign forecasting product, providing pre-campaign audience size estimates, delivery projections, and inventory availability data for sales and campaign planning workflows
• Lead, mentor, and grow a multi-stream team of product managers across optimization, identity and targeting, data partnerships, forecasting, and AI foundation streams
• Partner with sales, GTM, and data science engineering to translate complex ML capabilities into commercially sellable frameworks, client-ready narratives, and field enablement tools
• Represent the Intelligence Group roadmap in executive, board, and client-facing contexts; serve as the internal subject matter expert for data science product capabilities

• Initial Phone Screen (30 minutes)
• Hiring Manager Interview (30 minutes)
• Team Interview (2-4 team members for 30 minutes each)
• Case Study
• IB Executive Conversations (1-2 executives, 30 minutes each)
• Reference Checks (2-3 references)