Director, Product Development – Product Management

Job not on LinkedIn

🔥 9 hours ago

🇺🇸 United States – Remote

💵 $160k - $180k / year

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 0%

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LocaliQ

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📣 Marketing

☁️ SaaS

🤝 B2B

Marketing • SaaS • B2B

LocaliQ is a digital marketing platform and services provider that helps businesses grow leads, revenue, and online visibility through data-backed, multi-channel marketing solutions. LocaliQ offers paid advertising (search, display, video, social), SEO, website and listings management, targeted email marketing, landing pages, AI-powered lead management (Dash), reporting and analytics, and managed local marketing expertise across many verticals and multi-location businesses. The company targets small-to-medium businesses and agencies with an all-in-one platform and professional services; site metrics indicate large scale: 283M leads generated, $15. 9B total revenue attributed, 142M hours saved, and 512K+ businesses served.

📋 Description

• Define and execute the vision, product strategy, and roadmap for audience capabilities • Build differentiated products using first-party, behavioral, contextual, geographic, and advertiser-permissioned data • Create packaging, activation, pricing, measurement, and reporting frameworks • Advance segmentation, enrichment, identity, insights, and responsible data use • Integrate owned media inventory and audience signals into planning, selling, delivery, and reporting workflows • Define the target experience across planning, order management, inventory, campaign delivery, optimization, and measurement • Connect advertising, commercial, data, and reporting capabilities through clear platform boundaries • Simplify fragmented workflows and reduce manual handoffs • Own the strategy for direct and automated media offerings across multiple buying models • Improve yield and inventory utilization while protecting customer value and premium experiences • Advance forecasting, pricing, packaging, decisioning, and campaign optimization • Use performance data and market insights to prioritize investment and validate product-market fit • Build business cases, launch plans, adoption strategies, and success measures • Lead across Sales, Client Success, Marketing, Data, Engineering, Operations, Finance, Legal, and Privacy • Guide roadmap, investment, dependency, and trade-off decisions with senior stakeholders • Develop product talent and influence matrixed teams across the organization

🎯 Requirements

• 10+ years of product management experience in digital advertising, advertising technology, media platforms, data products, or related fields • 5+ years leading complex platform products, major integrations, or multi-team transformation initiatives • Strong understanding of programmatic advertising, digital media monetization, audience products, campaign workflows, and advertising operations • Experience translating customer and commercial problems into platform strategy, roadmaps, product requirements, and measurable outcomes • Strong analytical and commercial judgment, executive communication, and cross-functional leadership skills • Deep working knowledge of Google Ad Manager or a comparable enterprise ad server, including orders, line items, targeting, pacing, creative trafficking, and reporting integrations • Experience with advertising order-to-cash ecosystems, including booking, pricing, fulfillment, billing, and revenue-recognition processes • Understanding of modern cloud data platforms and warehouses, such as BigQuery, Snowflake, Redshift, or Databricks • Expertise in audience and identity architecture, including first-party identity resolution, consumer graphs, segment taxonomies, known and anonymous audiences, and deterministic and probabilistic matching • Experience defining API and integration patterns, including REST or GraphQL, event-driven contracts, system-of-record boundaries, and data synchronization • Strong understanding of media monetization and yield concepts, including CPM pricing, rate cards, floor strategies, margin structures, premium and remnant inventory, and cross-channel revenue attribution • Knowledge of cross-channel audience activation into social, video, and demand-side advertising platforms • Knowledge of data modeling and SQL, including dimensional models, reconciliation, complex joins, window functions, and performance optimization on large datasets

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