Sr. Product Manager

What You'll Do:

• 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.

You Should Have:

• 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.

You'll Stand Out:

• Experience with how co-selling works with technical and reseller partners. 
• Experience with AI product lifecycle management and deployment.
• Successfully launched AI-powered features that solve real customer problems and drive adoption
• Hands-on experience collaborating with data scientists and ML engineers to define, prototype, and validate AI/ML use cases, including rapid prototyping with low-code/no-code AI tools (e.g., Lovable.dev, Replit, n8n).
• Proficiency with AI/ML frameworks and cloud services such as TensorFlow, PyTorch, AWS SageMaker, Azure OpenAI, or GCP Vertex AI.
• Familiarity with prompt engineering, large language model tuning, or open-source model deployments (e.g., LangChain, Hugging Face).
• Knowledge of machine learning frameworks and tools.
• Familiarity with agile development methodologies.