Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. The AI Product Manager will lead product management for AI-related offerings, focusing on building products from the ground up, driving adoption, and prioritizing use cases while managing stakeholders and articulating product requirements effectively.
Responsibilities:
- Develop and execute comprehensive AI product strategy and roadmap aligned with organizational goals and market opportunities
- Lead cross-functional teams including engineering, design, data science, and marketing to deliver innovative AI solutions
- Conduct market analysis, competitive intelligence, and customer research to inform product decisions and identify growth opportunities
- Define product requirements, success metrics, and key performance indicators (KPIs) to measure product performance and business impact
- Manage product lifecycle from conception through launch, ensuring timely delivery and quality standards
- Analyze data and user behavior to optimize product features, user experience, and business outcomes
- Collaborate with stakeholders at all levels to secure buy-in, manage expectations, and communicate product vision and progress
- Evaluate emerging AI technologies and trends to maintain competitive advantage and drive innovation
- Oversee product budget, resource allocation, and financial performance to ensure profitability and ROI
- Build and mentor high-performing product teams, fostering a culture of collaboration, accountability, and continuous improvement
Requirements:
- Proven experience leading AI-driven and data-centric product initiatives, including building products from the ground up and scaling adoption
- Strong understanding of product-market fit, use case prioritization, and delivering high-value features
- Deep knowledge of emerging AI trends, machine learning applications, and data-driven product strategy
- Ability to translate business needs into clear product requirements and partner effectively with engineering teams
- Experience managing and influencing cross-functional stakeholders, including executive leadership
- Strong consultative skills with the ability to uncover user pain points and drive product adoption
- High emotional intelligence and executive presence
- Ability to communicate complex AI concepts clearly in both business and technical terms
- Experience in consulting and/or product-based organizations with direct stakeholder and end-user engagement
- Demonstrated leadership operating at the Director to VP level (Associate Director considered for exceptional candidates)