Senior Product Manager, Tackle

• 5+ years of product management experience in enterprise B2B SaaS products, ideally with exposure to cloud marketplaces and co-sell motions
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field—or equivalent practical experience
• Deep understanding of B2B SaaS buying journeys, especially through hyperscaler marketplaces, and channel (resellers, distributors, MSPs, etc)
• Familiarity working with cloud platforms such as AWS, Azure, and Google Cloud, particularly in the context of enterprise SaaS or cloud marketplaces
• Experience with data analysis and data-driven decision-making, including identifying data requirements for AI solutions and ensuring responsible, ethical data use
• Demonstrated success working in a product organization that has supported an industry-recognized product management methodology and framework
• Experience making ruthless prioritization decisions grounded in data, user insights, and strategic goals
• Strong user empathy and the ability to tell an exceptional story through design choices and data narratives
• Enthusiasm for partnering with UX, data, and engineering teams to bring comprehensive, data-informed products to market
• Familiarity with selling and/or buying enterprise software from a cloud marketplace

Desirable

• Drive the vision and execution for co-selling with AWS, Microsoft, Google Cloud, and key partners (resellers, MSPs, SIs), identifying opportunities to leverage AI where it delivers tangible business value
• Support user, partner, and stakeholder research—including, when appropriate, AI-enabled analytics (e.g. , NLP sentiment analysis) to uncover deeper insights
• Write clear, actionable product artifacts for engineers, designers, and go-to-market teams, occasionally embedding AI-driven insights or recommendations where they enhance decision-making
• Prioritize and manage the product roadmap (Now, Next, Future), ensuring AI/ML features are considered alongside core product initiatives, based on ROI and customer impact
• Collaborate with designers and engineers to build and ship impactful product experiences, thoughtfully integrating AI/ML to enhance user experience or drive meaningful automation
• Maintain a pulse on the market and competitive landscape, including both digital selling and emerging AI trends relevant to cloud marketplaces
• Engage with customers and prospects regularly to discuss product vision and direction, and, when relevant, educate them on new AI-powered capabilities
• Embrace and model a culture of respect, inclusion, collaboration, and transparency, supporting continuous learning in both product management and AI best practices

• We have a transparent and streamlined hiring process that can typically be completed in one to two weeks:
• Phone screen
• 3 additional video chat interviews (on occasion there may be opportunities for in-person interviews)
• Some positions may require a take home test or additional steps throughout the process (this will be communicated to the candidate)