Senior Product Manager

Job description

Tackle is the leading solution built to help software companies generate revenue through a data-driven Cloud go-to-market (Cloud GTM). Our Platform and our team come together to help our customers identify the right buyers, grow cloud co-sell relationships, and transact efficiently at scale through AWS, Google Cloud, and Microsoft.

Tackle works with more than 500 software companies including CrowdStrike, HashiCorp, New Relic, Snyk and many more at every stage—from companies scaling their go-to-market to the largest software companies in the world. We are venture backed by three of the world’s top SaaS investors—a16z, Bessemer Venture Partners, and Coatue—to execute on our mission to positively transform the way that software is sold.

Tackle Product Managers will be a part of a well-funded, fully remote, growth-stage company helping shape the way that software is bought and sold in the Cloud Marketplaces (AWS, GCP, Azure). We are built on the foundation that a 100% remote team can be the healthiest, happiest and most productive; from the beginning we have been intentionally building a phenomenal culture that ensures everyone feels connected no matter where they are working from. Our platform has enabled some of the software industry’s most successful names to get listed, start selling, and scale their Cloud Marketplace operations.

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.

$130,000 - $180,000 a year

The salary information shown is a general guideline only. Any offer extended to a candidate will be based upon multiple factors including local currency, knowledge, skillset, experience and internal equity.

Full-time employees currently enjoy these amazing perks and 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

TACKLE VALUES:

Start with the customer - We succeed when our customers succeed. That’s why every role at Tackle leads to the customer. We exist to support, guide, and empower our customers.

Explore and experiment - We are curious and creative at work, always looking for innovative ways to improve. We continuously iterate and push the boundaries of what’s possible. Tackle is a safe place to try new things.

Learn and grow as a team - We seek and share knowledge across Tackle. We actively connect and collaborate with others. We welcome different perspectives and invite healthy debate.

Celebrate wellness - We value work-life harmony and personal well being. We share and appreciate stories of wellness every day. We are remote by design, so all Tacklers have the freedom to be their best selves.

Tackle together - We work openly and transparently at Tackle. We are caring, empathetic, and kind. Every Tackler plays a part in our welcoming, inclusive culture.

The Hiring Process:

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)

We are a welcoming, diverse team with a wide range of backgrounds and experiences. We were born and built remote and welcome others who believe remote companies are the way companies will be built into the future. At this time, we can only accept applicants who reside within the United States and Canada.

Tackle.io is proud to be an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. Tackle makes hiring decisions solely based on qualifications, merit and business needs at the time. We hope to empower and support every individual and celebrate the diverse cultures, perspectives and experiences in our teams. Our Equal Opportunity policy applies to all employment practices within Tackle.