Databricks

3 months ago

Sr. Manager, Field Engineering - Digital Native Business

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead and grow a team of Solutions Architects, guiding digital native customers across data, analytics, and AI workloads. Collaborate with sales, services, product and engineering to drive outcomes, while mentoring team members, preserving best practices across the customer lifecycle, and engaging with executive customers.

Location: Colorado, California, Oregon, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. 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 technically qualify workloads, identify use cases, build proofs of concepts, and establish themselves as trusted advisors.
•Travel to customer sites for executive sessions, technical workshops, and building relationships
•Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team

Travel: Low travel

Pay and Benefits

Salary: USD 192,100 - 264,175 annually

Key Requirements

•7+ years of experience in the data space with a technical product (data warehousing, big data, cloud infrastructure, or machine learning)
•5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
•history of building a territory, growing strategic accounts, and exceeding targets
•inspiring a team vision about the unique nature of the digital natives business
•history of execution by managing workloads and consumption with sales, product, and engineering counterparts

Experience:7+ yearsDataAiCloud

Skills:CommunicationLeadershipMentoringStrategic thinkingPresentation

Languages:English

Tech Stack:Databricks

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

Website LinkedIn

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Databricks

3 months ago

Sr. Manager, Field Engineering - Digital Native Business

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Colorado, California, Oregon, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. 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 technically qualify workloads, identify use cases, build proofs of concepts, and establish themselves as trusted advisors.
•Travel to customer sites for executive sessions, technical workshops, and building relationships
•Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team

Travel: Low travel

Pay and Benefits

Salary: USD 192,100 - 264,175 annually

Key Requirements

•7+ years of experience in the data space with a technical product (data warehousing, big data, cloud infrastructure, or machine learning)
•5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
•history of building a territory, growing strategic accounts, and exceeding targets
•inspiring a team vision about the unique nature of the digital natives business
•history of execution by managing workloads and consumption with sales, product, and engineering counterparts

Experience:7+ yearsDataAiCloud

Skills:CommunicationLeadershipMentoringStrategic thinkingPresentation

Languages:English

Tech Stack:Databricks

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

Website LinkedIn