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Sr. Manager - ML Ecosystem



12d ago

  • Job
    Senior (5-8 years)
  • Software Engineering
  • $176K - $252K
  • San Mateo

AI generated summary

  • You must have a Bachelor's degree, 5+ years of AI/ML industry experience, strong technical knowledge, successful partnership management, leadership skills, exceptional communication, strategic thinking, and a track record of delivering results in a fast-paced environment.
  • You will lead strategic partnerships with AI/ML players, drive collaboration, track impact, mentor teams, and align activities with company goals.


  • Bachelor's degree in computer science, engineering, business, or related field; advanced degree preferred.
  • Proven experience (5+ years) in business development, partnership management, or a related role in the AI/ML industry.
  • Strong understanding of machine learning, artificial intelligence, and related technologies, with the ability to communicate technical concepts to both technical and non-technical audiences.
  • Demonstrated success in developing and managing strategic partnerships
  • Excellent leadership and team management skills, with the ability to inspire and motivate cross-functional teams to achieve common goals.
  • Exceptional communication, interpersonal, and relationship-building skills, with the ability to effectively interact with internal and external stakeholders at all levels.
  • Strategic thinker with strong analytical and problem-solving abilities, capable of driving innovation and identifying new business opportunities.
  • Proven track record of delivering results in a fast-paced, dynamic environment.


  • Identify and cultivate strategic partnerships with key players in the AI/ML ecosystem, including technology companies, research institutions, startups, and industry organizations.
  • Build and maintain strong relationships with partner organizations, serving as the primary point of contact for collaboration initiatives.
  • Drive cross-functional collaboration between internal teams and external partners to develop joint projects, initiatives, and solutions.
  • Continuously assess market trends and identify new partnership opportunities to advance the company's AI/ML objectives and business goals.
  • Develop and implement metrics to track the success and impact of partnership initiatives, providing regular reporting and insights to senior management.
  • Build and mentor a high-performing AI/ML Partner Team, providing guidance, support, and professional development opportunities.
  • Effectively communicate with internal stakeholders, including executives, product teams, and engineering teams, to align partnership activities with company strategies and priorities.


What qualifications are required for the Sr. Manager - ML Ecosystem position at Snowflake?

The ideal candidate for this position should have a strong background in machine learning, artificial intelligence, and business development. Additionally, strong leadership and communication skills are essential for this role.

Who will the Sr. Manager - ML Ecosystem report to at Snowflake?

The Sr. Manager - ML Ecosystem will report to the Head of Technology Alliances at Snowflake.

What is the main responsibility of the Sr. Manager - ML Ecosystem at Snowflake?

The main responsibility of the Sr. Manager - ML Ecosystem is to foster and manage strategic partnerships with external organizations in the ML/AI space to support Snowflake's growth and scaling efforts.

What growth opportunities are available for the Sr. Manager - ML Ecosystem at Snowflake?

The Sr. Manager - ML Ecosystem will have the opportunity to lead the strategy of Snowflake's AI/ML partner ecosystem and play a pivotal role in driving the company's growth in the machine learning and artificial intelligence space.

Snowflake delivers the Data Cloud — mobilize your data with near-unlimited scale and performance.

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Mission & Purpose

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.