Databricks

3 weeks ago

Sr. Manager, Field Engineering - High Tech and MFG

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead a Field Engineering team of Solutions Architects supporting the Manufacturing and HiTech enterprise segments. Hire, train, and grow a bar-raising pre-sales organization while partnering with Sales to hit sales and consumption targets and ensure customer success. Drive technical excellence through architecture discussions, proof-of-concepts, and product demonstrations across data warehousing, big data/analytics, data engineering, data science, and AI, while maintaining a strong hiring pipeline.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Manage a team of Solutions Architects for the Manufacturing and HiTech enterprise segment.
•Hire, train, grow, and manage a team of pre-sales professionals in a high-growth environment.
•Maintain a robust hiring pipeline and keep the team continually learning on the data+AI technology stack.
•Partner with Sales leadership to hit sales and consumption targets while ensuring customer success.
•Lead best practices for technical qualification, proofs of concept, architecture discussions, and product demonstrations.

Pay and Benefits

Salary: USD 192,100 - 264,175

Equity and Bonus:Equity

Key Requirements

•3+ years leading technical pre-sales teams, including hiring, onboarding, coaching, and enabling pre-sales professionals.
•7+ years of experience in the Data + AI space with a technical product (data warehousing, big data, data science, machine learning, or AI).
•Deep technical understanding of how Data + AI impacts outcomes across industry segments.
•Ability to lead technical qualification, proof of concepts, architecture discussions, and product demonstrations.
•Demonstrated architectural influence, able to review complex architectures and guide scalable solution design.

Experience:7+ yearsData warehousingBig dataData scienceMachine learningAIEnterprise software

Skills:LeadershipCoachingTeam managementStakeholder managementStrategic planning

Languages:English

Tech Stack:LakehouseApache SparkDelta LakeMLflowData warehousingBig dataData engineeringData scienceMachine learningAI

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 weeks ago

Sr. Manager, Field Engineering - High Tech and MFG

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Manage a team of Solutions Architects for the Manufacturing and HiTech enterprise segment.
•Hire, train, grow, and manage a team of pre-sales professionals in a high-growth environment.
•Maintain a robust hiring pipeline and keep the team continually learning on the data+AI technology stack.
•Partner with Sales leadership to hit sales and consumption targets while ensuring customer success.
•Lead best practices for technical qualification, proofs of concept, architecture discussions, and product demonstrations.

Pay and Benefits

Salary: USD 192,100 - 264,175

Equity and Bonus:Equity

Key Requirements

•3+ years leading technical pre-sales teams, including hiring, onboarding, coaching, and enabling pre-sales professionals.
•7+ years of experience in the Data + AI space with a technical product (data warehousing, big data, data science, machine learning, or AI).
•Deep technical understanding of how Data + AI impacts outcomes across industry segments.
•Ability to lead technical qualification, proof of concepts, architecture discussions, and product demonstrations.
•Demonstrated architectural influence, able to review complex architectures and guide scalable solution design.

Experience:7+ yearsData warehousingBig dataData scienceMachine learningAIEnterprise software

Skills:LeadershipCoachingTeam managementStakeholder managementStrategic planning

Languages:English

Tech Stack:LakehouseApache SparkDelta LakeMLflowData warehousingBig dataData engineeringData scienceMachine learningAI

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