Senior Product Manager

Summary

Join Tackle, a leading solution helping software companies generate revenue through a data-driven Cloud go-to-market (Cloud GTM), as a Product Manager. You will be part of a fully remote, growth-stage company shaping how software is bought and sold in Cloud Marketplaces. Drive the vision and execution for co-selling with major cloud providers and partners, leveraging AI for business value. Support user and stakeholder research using AI-enabled analytics. Create product artifacts for various teams, incorporating AI insights. Prioritize and manage the product roadmap, ensuring AI/ML features are considered. Collaborate with designers and engineers to build impactful product experiences. Maintain market awareness and engage with customers regularly. Embrace a culture of respect, inclusion, and collaboration.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Work remotely from anywhere within the US & Canada
• Competitive salary
• Equity package
• Health, dental and vision coverage
• Company off-site summits
• Monthly wellness reimbursement
• Internet and phone reimbursement
• $1000 home ergo/office set up
• Generous vacation plan & flexible work hours
• 401k + matching
• Technology tools to do your best work
• Company surprises and swag
• Awesome co-workers