Consulting Manager, AI/ML
SnowflakeUS-CA-Menlo ParkPosted 28 April 2026
Job Description
Consulting Manager, AI/ML
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake Professional Services is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimize, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures, and guiding customers through decision paths to achieve impactful outcomes. We advise everyone from developers to senior executives on how best to utilize Snowflake to make their business successful.
The consulting manager is a unique opportunity to leverage your technical expertise while leading a team of Solutions Architects and Consultants. Our Consulting Managers are accomplished architects who leverage their technical acumen and project delivery skills to ensure the success of our projects and customers.
This role is 100% remote and can be based anywhere in the United States
AS A SNOWFLAKE PROFESSIONAL SERVICES CONSULTING MANAGER AI/ML, YOU WILL :
- Manage a team of AI/ML Solutions Architects and Consultants, providing oversight of their contributions to ensure the utmost quality in all aspects of project delivery
- Mentor a team of Solutions Architects and consultants identifying strengths and growth opportunities for your team, fostering a culture of continuous learning and excellence.
- Be a thought leader and stay abreast of the latest advancements in AI/ML research, tools, and industry trends, building a strategy for Professional Services.
- Leverage your own technical expertise to assess quality and value of your teams contributions
- Act as the first level of escalation management for any and all delivery concerns related to your team
- Recruit, hire and prepare our future team members for success in their projects
- Work with product and services sales teams to close growth opportunities and ensure effective execution of account and organization strategies.
- Facilitate knowledge sharing and cross team learning to ensure we are making each other the best
- Work with other organizational leaders to influence our GTM strategies, leading initiatives and improvement where necessary
- Maintain a 70% utilization target, owning your own strategic projects and acting as a billable oversight role where needed.
OUR IDEAL CONSULTING MANAGER WILL HAVE :
- University degree in computer science, data science, engineering, mathematics or related fields, or equivalent experience
- Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role
- Minimum 5 years of people management experience; experience mentoring, coaching and developing teams
- Minimum 5 years of experience in selling or positioning professional services – scoping large projects, developing delivery estimates and proposals
- Must have AI/ML experience within both traditional Machine Learning (supervised, unsupervised learning), Data Science, and GenAI (Deep Learning, LLM, RAG, Agentic AI, etc.) and experience with open source frameworks
- Demonstrable experience leading the full lifecycle of AI/ML projects from ideation to production.
- Extensive hands-on experience with Python (incl. open-source AI/ML libraries), and SQL
- Outstanding skill ... (truncated, view full listing at source)
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