Consulting Manager, AI/ML

Snowflake•Boston, MA

7d•Remote

About The Position

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.

Requirements

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 skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Understanding of complete data analytics stack and workflow: from Data Lakes, ETL, Data Warehousing, BI, AI/ML environments
Strong skills in databases, data warehouses, and data processing
Knowledge of and experience with large-scale database technology (e.g. Oracle, Teradata, Netezza, Greenplum, etc.)
Familiarity and experience with common data integration, transformation, AI/ML tools (Sagemaker, Jupyter Notebooks, etc.)
Extensive hands-on expertise with SQL and SQL analytics
Ability and flexibility to travel to work with customers on-site up to 25% of the time

Nice To Haves

Experience in the services organization of a product company
Experience in a leadership position executing technical projects
Industry vertical expertise (Media, Financial Services, Healthcare, etc)
Snowflake Snowpro Advanced Certification(s)

Responsibilities

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.