Manager, Field Engineering - Strategic Digital Native Business

Databricks
California, Colorado, Oregon, Washington
Workplace: RemoteFull timeUSD 172,500 - 237,150 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsSkills: ["Communication","Leadership","Stakeholder management","Mentoring","Strategic thinking"]

Leading and expanding a technical Solutions Architect team to drive adoption of the Databricks Platform for digital-native, high-growth customers. You’ll hire, coach, and align cross-functional teams (engineering, product, services, sales) to deliver data, analytics, and AI workloads, while acting as a technical leader to key customers.

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FursaFursa
Databricks
Databricks
5 months ago

Manager, Field Engineering - Strategic Digital Native Business

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Leading and expanding a technical Solutions Architect team to drive adoption of the Databricks Platform for digital-native, high-growth customers. You’ll hire, coach, and align cross-functional teams (engineering, product, services, sales) to deliver data, analytics, and AI workloads, while acting as a technical leader to key customers.
Location: California, Colorado, Oregon, Washington
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
  • •Adapt the SA team's skills and engagement model to match the needs of Digital native customers.
  • •Consistently meet or exceed targets by ensuring the SA team can qualify workloads, identify use cases, build proofs of concepts, and act as trusted advisors through the customer lifecycle.
  • •Travel to customer sites for executive sessions, technical workshops, and relationship building.
  • •Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure customer and team success

Pay and Benefits

Salary: USD 172,500 - 237,150 annually

Key Requirements

  • •4+ years of experience in the data space with a technical product (e.g. data warehousing, big data, cloud infrastructure, or machine learning)
  • •3+ years of experience building and leading technical customer-facing teams in a high-growth environment (hiring, onboarding, and coaching)
  • •history of building a territory, growing strategic accounts, and exceeding targets
  • •ability to inspire a team vision about the digital native business
  • •experience owning execution by managing workloads and consumption with sales, product, and engineering counterparts
Experience:4+ yearsDataAI workloadsDigital native tech sectorBig dataCloud infrastructure
Skills:CommunicationLeadershipStakeholder managementMentoringStrategic thinking
Languages:English
Tech Stack:DatabricksData platformsAI

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn