iSpot - VP, Product Management

• Product Strategy and Vision: Define and communicate a clear product vision in alignment with overarching portfolio strategy and iSpot's overall business objectives. • Product Strategy and Vision: • Market Analysis and Research: Drive your team to complete comprehensive market research to identify opportunities, customer needs, and competitive landscape to inform product decisions. Apply data-driven decision-making processes to continually improve product offerings. • Market Analysis and Research: • Product Roadmap: Create and maintain a detailed product roadmap, prioritizing features and enhancements based on business value and customer feedback. Oversee management, strategic planning, and forecasting of the product lifecycle. • Product Roadmap: • Cross-Functional Leadership: Lead product development and collaborate with engineering, design, sales, marketing, and customer success teams to deliver high-quality products on time and within budget. • Cross-Functional Leadership: • Customer Advocacy: Serve as the voice of the customer, ensuring that their needs and feedback are central to product development. Engage with customers, collect feedback, and incorporate it into product development to surpass market expectations. • Customer Advocacy: • Performance Metrics: Define, track, and analyze key performance indicators (KPIs) to measure product success and drive continuous improvement. Ensure a transparent workflow to meet deadlines, effectively allocate resources, and deliver new features and updates on time. • Performance Metrics: • Team Development: Build, mentor, and lead by example a high-performing product management team, fostering a culture of innovation, collaboration, and excellence to achieve and surpass goals. • Team Development: • Stakeholder Communication: Effectively communicate product strategy, progress, and outcomes to internal and external stakeholders, including executive leadership and customers. • Stakeholder Communication: • Qualifications and Education Requirements • 10+ years of product management experience, with at least 3 years focused on multi-touch attribution (MTA), outcomes measurement or marketing effectiveness. • Deep expertise in the measurement and identity ecosystem, including a strong understanding of identity resolution and the role of Data Clean Rooms in privacy-safe attribution. • Proven experience scaling GenAI and ML products to enterprise production, leveraging LLMs to transform unstructured metadata into predictive, actionable business insights. • Proven track record of scaling established products, demonstrating the ability to evolve solutions, optimize core features for market-leading scale, and drive continued growth and adoption through deep industry partnerships. • Experience operating in a hands-on leadership role, including a history of mentoring and developing junior product managers while also directly owning and driving key product initiatives. • Strong technical and data acumen, with the ability to lead productive discussions with engineering and data science teams regarding data modeling, API integrations, and statistical significance. • Excellent communication skills, with the ability to articulate complex concepts—such as incremental lift or identity linkage—and product strategy to both technical and non-technical stakeholders. • Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Business); Master's degree is a plus.