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

• 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.

• 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

• 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)

The application window is expected to be open until May 25th, 2026. This opportunity will remain posted based on business needs, which may be before or after the specified date.

Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $208,000 - $273,000.
• Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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