Sr. Engagement Manager
AI in this role
Lead business growth and delivery success for Frontier Engineering accounts, driving cloud data strategy and customer outcomes.
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.
We are hiring an Sr Engagement Manager for our Frontier Engineering team. The Frontier Engineering team turns Snowflake's mission of mobilizing the world's data into concrete outcomes inside customer environments. In this role you lead both the business growth and the delivery success of Frontier Engineering across your region, owning the full cycle from opportunity creation through scoping, contracting, delivery, and continued growth, and acting as a trusted advisor who balances customer business outcomes with cloud data strategy.
AS AN SR. ENGAGEMENT MANAGER AT SNOWFLAKE, YOU WILL:
Own accountability for Frontier Engineering quarterly bookings, consumption, and utilization targets across your assigned accounts and region, as part of the broader account team
Partner with Account Executives, Solution Engineers, and delivery leadership to identify services opportunities, scope engagements, author proposals and Statements of Work, and lead internal Deal Review and investment approval processes
Own and be accountable for the bookings forecast across your Book of Business, tying every engagement to clear customer outcomes such as revenue growth, cost reduction, risk reduction, and faster Time to Value
Design and continually refine the delivery roadmap for key accounts, managing project progress, schedule, deliverable quality, and early detection and escalation of scope, schedule, cost, and quality risks
Serve as the initial point of escalation for customers and project teams, earning trust on both sides and leading decision-making in difficult situations
Own project financials, including revenue forecasting and cost control, balancing healthy margins with customer satisfaction, and report outcomes, risks, and next steps to executive leadership
Provide delivery quality oversight and guidance for Snowflake engagements by assisting in the creation and execution of the overall vision for service delivery and client satisfaction, ensuring adherence to delivery best practices
Own, manage and communicate the operational relationship with assigned clients, including the creation, implementation, and tracking of relationship roadmaps
Manage key client projects by communicating effectively with project team members, management and project stakeholders on status, issues, risks, and project goals and objectives through clear project documentation, meetings and any required follow-ups
Build mid-to-long-term account plans and Data Cloud roadmaps with account teams, and design co-delivery and co-selling models with SI, GSI, and ISV partners, including scalable subcontractor and staff-augmentation models
Lead practice and operational improvements: SOW standardization and templates, risk-based deal review, reusable assets and best practices, and Cortex AI and GenAI-assisted workflows for contract and SOW drafting and engagement summaries
Mentor and coach delivery consultants, drive delivery governance through QA reviews and health checks, and share best practices with Practice Directors and peers across regions
OUR IDEAL ENGAGEMENT MANAGER WILL HAVE:
10+ years of experience in a Sales and Services Delivery role, or equivalent experience, spanning complex enterprise technical projects such as cloud DWH and data platform implementation, modernization, or AI/ML adoption
A proven track record of achieving quantitative KPIs such as bookings, utilization, and consumption in a delivery or similar organization
Experience negotiating with and managing executive stakeholders from CxO to VP level across sales, delivery, product, and partner organizations
Direct experience in the data warehouse, business intelligence, or cloud data platform space, or equivalent experience
Both strong business literacy and technical understanding: able to translate customer business goals into Snowflake platform scenarios and to discuss architectural and implementation constraints and risks alongside technical teams
Clear, concise cross-functional communication with a track record of leading diverse groups toward consensus
Strong organizational skills and ownership, with the ability to autonomously manage multiple projects and accounts in parallel
BONUS POINTS FOR THE FOLLOWING:
Experience supporting local-government customers and understanding public-sector procurement, compliance, or data requirements in Singapore
Experience in a technical advisory role such as solution architect, technical account manager, or system administrator
Hands-on project experience with the Snowflake AI Data Cloud or other cloud data platforms on AWS, Azure, or GCP
Experience collaborating within a Data, AI, or Analytics partner ecosystem across SI, GSI, and ISV partners
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
How we rate this
Sr. Engagement Manager at Snowflake rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where engagement management was part of your work. What did you do?
- Tell me about a project where cloud data strategy was part of your work. What did you do?
- Tell me about a project where revenue forecasting was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where project delivery was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Engagement Management, Cloud Data Strategy, Revenue Forecasting, Stakeholder Management, and Project Delivery. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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