Senior Director, Services Product & Strategy

Snowflake•Menlo Park, CA

About The Position

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is seeking a Senior Director, Services Product & Strategy dedicated to cohesively integrating the Solutions Delivery (SD ) strategy with Snowflake’s core product roadmap. 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.

Requirements

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
Hands on experience and expertise with AI/ML technology stack and relevant data platforms; Snowflake expertise preferred
Advanced technical fluency and data literacy. 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.
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.
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.

Responsibilities

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.
AI-Native Transformation 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.
Direct Services Competency teams: 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.