• This leader will be responsible for directing the development of all SD offerings, delivery methodologies, and internal solutions / tooling, ensuring they directly support GTM goals
• This leader will own the relationship with Product and Engineering teams, ensuring that priorities are aligned and mutually beneficial and that new products and solutions are tested and adopted in a rapid and agile manner

Supporting Snowflake’s global Solutions Delivery business, success in this role hinges on acting as the central conduit that bridges the gap between three critical areas: in-depth understanding of client needs, the priorities of product development, and the capabilities of the Solutions Delivery team

• By ensuring tight alignment, this role will drive Product adoption and accelerate the ideation/development of delivery solutions that align with Snowflake's adoption/consumption goals
• Define and Communicate SD Product Vision & Strategy:
• Define and articulate the SD Product vision and strategy, outlining the compelling “why” behind the all services/solutions offered
• Develop a clear cohesive roadmap that aligns with Snowflake’s core Product Roadmap, Consumption goals and evolving Market demands
• Establish and manage the SD product lifecycle, including the strategy and execution plan for scaling repeatable solutions through the Partner channel
• Oversee the Product Portfolio:
• Oversee the SD Product Portfolio, encompassing multiple service lines, tools, and solutions
• Drive prioritization of features and offerings, ensuring resources (personnel, budget) are allocated optimally
• Be hands on with data to analyze and gain insights on the health of Services products, making recommendations to optimize and improve as well as track the impact of new products
• Cross-Functional Alignment with Product and Engineering:
• Own the relationship and define / optimize the collaboration mode between SD, Product, and Engineering organizations
• Collaborate with Product and Engineering on shared cross-functional OKRs
• Ensure SD is a fundamental part of the product release and adoption process, and that tight feedback loops are in place
• Bridge communication gaps by fluently”speaking both languages”, fostering a tighter partnership while generating powerful, bi-directional benefits
• Champion and lead the charge to embed an AI-native mindset and agile way of working into the SD organization
• Lead by example by leveraging AI in workflows, decision making and processes
• Oversee a rapid experimentation program leveraging a small, rotating team of domain experts to test new technologies, approaches, and cross functional solutions, fully embracing a test-and-learn mentality
• Serve as leadership sponsor of supporting teams who harvest knowledge and create repeatable solutions, tools and accelerators

Align their objectives with the Services roadmap and priorities

• 20+ years of experience, including 5+ years of dedicated PM experience, with at least 2 years focused on managing AI-focused or data-intensive service offerings / products
• Define and lead product strategies that maximize business impact, leveraging a deep financial and operational understanding of the Professional Services business model and its drivers for scale and profitability
• Success requires proven experience in strategic stakeholder management and driving effective collaboration across Executive, Product, and Engineering teams
• Exceptional ability to craft and deliver compelling strategic narratives to executives and non-technical audiences, translating complex technical roadmaps into clear business value
• Advanced technical fluency and data literacy
• Demonstrated professional curiosity about technology advancements with a track record of identifying and prototyping solutions based on these trends
• Proven experience in leading and executing GTM strategies for new offerings
• Ability to be hands-on as needed to create prototypes

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data

Must be experienced in, conversational and credible with technical teams regarding core AI/ML concepts (e.g., model training, evaluation, deployment), data infrastructure, APIs, and model architecture

• The estimated base salary range for this role is $288,000 - $378,000
• 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