Snowflake
Snowflake
5,001 – 10,000 Employees
B2BEnterpriseSaaS
Snowflake is an enterprise SaaS company that provides a managed cloud data platform and data warehouse service for business customers. Its platform helps organizations store, process, analyze, and share structured and semi-structured data across cloud environments, combining scalable compute and storage with security, data-sharing features, analytics, and machine-learning support. Snowflake primarily serves B2B customers and operates in the SaaS and enterprise technology sectors.

Senior Engagement Manager, Frontier Engineering — New Zealand

Lead Snowflake’s data and agentic AI transformation engagements for enterprise customers in New Zealand. Own sales, delivery, financial performance, and executive outcomes from start to finish.

Description

  • Lead Frontier Engineering’s in-market work with New Zealand accounts across data and agentic transformation.
  • Take ownership of engagements from initial discussions through scoping, contracting, delivery, and expansion.
  • Assess opportunities and work with executive sponsors to uncover business needs.
  • Run customer discovery and journey workshops, setting use case priorities, target outcomes, and business cases.
  • Shape commercial strategy, value-based pricing, proposals, statements of work, solution scope, estimates, and deal approvals.
  • Track bookings forecasts and pipelines, develop services roadmaps, and find opportunities to grow accounts.
  • Coordinate co-delivery and co-selling with SI, GSI, and ISV partners.
  • Manage the transition from sales to delivery and lead engagement kickoffs.
  • Oversee work breakdown structures, RAID logs, critical paths, scope, change orders, engagement finances, forecasts, cost controls, and estimate-at-completion accuracy.
  • Resolve escalations involving customers, partners, and project teams.
  • Lead knowledge transfer, retrospectives, value reviews, customer references, and follow-on opportunities.
  • Work with C-suite and VP stakeholders on services roadmaps and business results.
  • Share technical blockers with Product and Engineering teams as actionable feedback.
  • Contribute delivery insights, reusable materials, playbooks, AI-enabled workflows, Salesforce and financial systems data, and resource utilization information.

Requirements

  • At least 8 years of related experience with a bachelor’s degree, 6 years with a master’s degree, or equivalent experience.
  • More than 10 years in sales and services delivery, working with executives on complex technical implementation projects.
  • A record of meeting quantitative goals such as bookings, utilization, consumption, and delivery margin.
  • Experience leading discovery, defining scope and value propositions, and closing services deals as part of a sales team.
  • Strong practical command of project governance, including WBS, RAID, and critical path, as well as change management and project financials such as EAC.
  • Able to lead discussions with C-suite executives while maintaining technical credibility with engineering and data science teams.
  • Direct experience with data platform modernization and AI/ML or generative AI adoption.
  • Experience collaborating remotely across locations with sales, presales, and delivery colleagues.
  • Able to manage multiple accounts and projects independently and concurrently.
  • An established network in New Zealand enterprise, government, or local systems integrator and partner communities.
  • Experience at a Big Five or boutique strategy consultancy.
  • Background in a technical advisory position, such as solution architect or technical account manager.
  • Hands-on project experience with Snowflake AI Data Cloud or another cloud data platform on AWS, Azure, or Google Cloud Platform.
  • Experience establishing a services practice or team presence in a new market.

Benefits

  • Opportunity to drive Snowflake consumption and measurable customer value.
  • A path to Principal level based on portfolio ownership, deal engineering, and market leadership.
  • AI-assisted workflows and tools to support faster, more effective work.