Snowflake
Snowflake
Snowflake nodrošina mākoņdatošanas datu platformu informācijas glabāšanai, apstrādei un analīzei lielā mērogā. Tās centralizētā arhitektūra palīdz uzņēmumiem apvienot datus, efektīvi izpildīt sarežģītus vaicājumus un atbalstīt dažādas darba slodzes, mainoties to vajadzībām. Uzņēmuma platforma ir nozīmīga mākoņdatošanas, datu, analītikas, konsultāciju un mārketinga tehnoloģiju jomās strādājošajiem speciālistiem, bet iespējas nosaka komandas, kas veido un atbalsta modernu datu infrastruktūru.

Senior Engagement Manager, Frontier Engineering

Lead Snowflake’s New Zealand customer engagements in data and AI transformation, guiding work from discovery through production outcomes. Own sales, delivery, financial performance, and account expansion across each engagement.

Apraksts

  • Lead Frontier Engineering’s New Zealand accounts across data and agentic transformation.
  • Own engagements from initial discussion through scoping, contracting, delivery, and expansion.
  • Qualify opportunities with account teams and work with executive sponsors to identify business needs.
  • Run customer discovery and journey workshops to set use case priorities, target outcomes, and business cases.
  • Shape commercial strategy, value-based pricing, proposals, statements of work, solution scope, estimates, and deal approvals.
  • Manage bookings forecasts and pipelines for New Zealand accounts.
  • Develop services roadmaps, find expansion opportunities, and collaborate with SI, GSI, and ISV partners.
  • Manage the sales-to-delivery handoff and lead engagement kickoffs.
  • Guide technical implementation projects through launch and closeout using work breakdown structures, RAID logs, and critical path schedules.
  • Address scope growth and negotiate change orders to protect the engagement.
  • Manage engagement finances, revenue forecasts, budget burn, cost control, estimate-at-completion accuracy, and margins.
  • Act as the first escalation contact and lead decisions under pressure.
  • Lead knowledge transfer, retrospectives, value reviews, customer references, and follow-on opportunities.
  • Work with C-level and VP stakeholders on services roadmaps and business outcomes.
  • Turn technical blockers into actionable feedback for Product and Engineering.
  • Share delivery insights and contribute reusable assets, playbooks, AI-assisted workflows, Salesforce and financial systems data, and delivery resource utilization.

Prasības

  • Typically requires at least 8 years of related experience with a bachelor’s degree, 6 years with a master’s degree, or equivalent experience.
  • At least 10 years in sales and services delivery, working with executives on complex technical implementation projects.
  • Track record of meeting measurable targets 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 (WBS, RAID, critical path), change management, and project finances (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 GenAI adoption.
  • Able to collaborate remotely across locations with sales, presales, and delivery colleagues.
  • Able to manage multiple accounts and projects independently and in parallel.
  • Established network in New Zealand enterprise, government, or local SI and partner communities is a bonus.
  • Experience at a Big 5 or boutique strategy consultancy is a bonus.
  • Technical advisory experience, such as solution architect or technical account manager work, is a bonus.
  • Hands-on experience with Snowflake AI Data Cloud or cloud data platforms on AWS, Azure, or GCP is a bonus.
  • Experience building a services practice or team presence in a new market is a bonus.

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