
1001 - 5000 employees
π£ Marketing
βοΈ SaaS
π€ B2B
Marketing β’ SaaS β’ 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.
π₯ 4 minutes ago
πΊπΈ United States β Remote
π΅ $125k - $135k / year
β° Full Time
π‘ Mid-level
π Senior
π Performance Marketing
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1001 - 5000 employees
π£ Marketing
βοΈ SaaS
π€ B2B
Marketing β’ SaaS β’ 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.
β’ Own and execute a significant portion of the Paid Ads product roadmap. β’ Identify market opportunities, customer needs, and platform changes that should inform roadmap investments. β’ Define product strategy for optimization, automation, bidding, measurement, and advertiser-facing capabilities. β’ Evaluate emerging trends in paid ads, AI, and digital advertising to identify opportunities for product innovation. β’ Lead initiatives from discovery through launch and ongoing optimization. β’ Translate business challenges and customer needs into clear product requirements, user flows, success metrics, and rollout plans. β’ Partner directly with Engineering and Data Science to deliver scalable product solutions. β’ Balance customer value, business impact, and technical complexity when making prioritization decisions. β’ Drive innovation across AI-powered optimization, bidding, automation, and recommendation capabilities. β’ Translate emerging AdTech, platform, AI, and industry innovations into differentiated product experiences. β’ Define measurement frameworks and success metrics to evaluate product effectiveness. β’ Use data and experimentation to inform product investments and improve advertiser performance. β’ Partner with Customer Success, Sales, Marketing, and Operations to ensure successful activation and adoption of new capabilities. β’ Build alignment across stakeholders and influence decisions without direct authority. β’ Present product strategy, recommendations, tradeoffs, and outcomes to leadership teams.
β’ 5+ years of product management experience delivering customer-facing, platform, SaaS, or technology products. β’ 3+ years of experience in digital advertising, AdTech, MarTech, performance marketing, or a related domain. Experience with advertising platforms, campaign optimization, measurement, and automation is strongly preferred. β’ Deep understanding of digital advertising, AdTech platforms, and performance marketing, including optimization, automation, bidding strategies, measurement, attribution, conversion tracking, and AI-driven campaign management. β’ Experience partnering directly with engineering teams to deliver products from concept through launch. β’ Demonstrated ability to translate ambiguous business problems into clear product strategies and execution plans. β’ Strong analytical and data-driven decision-making skills. β’ Experience leading cross-functional initiatives across Product, Engineering, Data Science, and Go-to-Market teams. β’ Excellent written, verbal, and stakeholder communication skills.
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