4 months ago

Sr. Manager, Technical Solutions

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Technical Solutions Manager leading a regional team of Technical Solution Engineers and support staff in India, focusing on resolving complex tickets, improving regional performance, and coordinating with Sales and field teams to drive adoption of the Databricks platform. This role combines hands-on technical leadership with process scalability in a startup-like environment.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Build and manage a team of Technical Solution Engineers
•Provide coaching and mentorship to the engineers
•Identify and implement process improvements to meet or exceed regional performance KPIs
•Coordinate with Sales and field teams to address account-level concerns and drive adoption and usage of the Databricks platform
•Define quarterly goals and track them to completion to drive team growth and personal development

Key Requirements

•Minimum 15 years of experience in the Tech Industry - SaaS Support, building, testing, and maintaining
•Minimum 6+ years of managerial experience, leading a team of at least 6+ technical support engineers
•Proven experience working with cloud native applications/SaaS (AWS, Azure, GCP), big data platforms, or Apache Spark in a technical capacity
•Demonstrated experience in a customer-facing role managing a large regional team of technical support engineers
•Excellent analytical and troubleshooting skills

Experience:15+ yearsSaaSCloudBig dataData analytics

Skills:LeadershipCommunicationProblem-solvingAnalytical thinking

Languages:English

Tech Stack:AWSAzureGCPApache SparkLinuxJavaJVMNetworkingTroubleshooting

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

4 months ago

Sr. Manager, Technical Solutions

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Build and manage a team of Technical Solution Engineers
•Provide coaching and mentorship to the engineers
•Identify and implement process improvements to meet or exceed regional performance KPIs
•Coordinate with Sales and field teams to address account-level concerns and drive adoption and usage of the Databricks platform
•Define quarterly goals and track them to completion to drive team growth and personal development

Key Requirements

•Minimum 15 years of experience in the Tech Industry - SaaS Support, building, testing, and maintaining
•Minimum 6+ years of managerial experience, leading a team of at least 6+ technical support engineers
•Proven experience working with cloud native applications/SaaS (AWS, Azure, GCP), big data platforms, or Apache Spark in a technical capacity
•Demonstrated experience in a customer-facing role managing a large regional team of technical support engineers
•Excellent analytical and troubleshooting skills

Experience:15+ yearsSaaSCloudBig dataData analytics

Skills:LeadershipCommunicationProblem-solvingAnalytical thinking

Languages:English

Tech Stack:AWSAzureGCPApache SparkLinuxJavaJVMNetworkingTroubleshooting

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