Snowflake
Snowflake
Snowflake बड़े पैमाने पर जानकारी को संग्रहीत करने, संसाधित करने और उसका विश्लेषण करने के लिए क्लाउड-आधारित डेटा प्लेटफ़ॉर्म उपलब्ध कराता है। इसका केंद्रीकृत आर्किटेक्चर व्यवसायों को डेटा को एक साथ लाने, जटिल क्वेरी को कुशलतापूर्वक चलाने और अपनी बदलती आवश्यकताओं के अनुसार विविध कार्यभारों का समर्थन करने में मदद करता है। कंपनी का प्लेटफ़ॉर्म क्लाउड कंप्यूटिंग, डेटा, एनालिटिक्स, कंसल्टिंग और मार्केटिंग टेक्नोलॉजी के क्षेत्रों में काम करने वाले पेशेवरों के लिए प्रासंगिक है; अवसर आधुनिक डेटा इंफ्रास्ट्रक्चर विकसित करने और उसका समर्थन करने वाली टीमों के अनुसार अलग-अलग होते हैं।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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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