# Senior Manager, Field Engineering

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Engineering Management
**Experience:** 10+ years
**Skills:** Solutions Architecture, Enterprise Software, Big Data, Data Engineering, Data Science, Data Warehousing, Machine Learning, Generative AI, Technical Sales, Technical Qualification, Product Demos, Systems Integrators, Independent Software Vendors, Databricks Data Intelligence Platform
**Posted:** 2026-08-20

> Leads and grows a team of Solutions Architects serving startup customers, partnering with Sales and cross-functional teams to drive technical wins and customer success. Requires 10+ years in technical data products and proven technical pre-sales leadership.

## Job Description

## Responsibilities
- Lead, hire, onboard, coach, mentor, and grow a diverse team of Solutions Architects supporting the Startups segment.
- Partner with Sales and other Field Engineering teams to increase revenue and help customers succeed with Databricks’ Data Intelligence Platform.
- Maintain a strong hiring pipeline and develop high-performing technical pre-sales professionals.
- Keep the team current on the Databricks technology stack through continuous learning.
- Establish relationships with internal teams and external systems integrators (SIs) and independent software vendors (ISVs).
- Lead best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
- Foster collaboration across Field Engineering, Sales, Product Management, Engineering, and Customer Success.
- Influence and review complex architectures, guiding teams and customers toward scalable solutions.

## Requirements
- Proven experience building and leading technical pre-sales teams, including hiring, onboarding, coaching, and mentoring.
- 10+ years of experience in the data space with a technical product, such as data warehousing, big data, machine learning, or generative AI.
- Experience advising technical executives on strategic data infrastructure decisions.
- Experience hiring, developing, and promoting high-performing technical talent.
- Strong understanding of consumption-driven business models and long-term growth strategies.
- Technical depth sufficient to earn the trust of engineering talent and leadership.

## Compensation and Benefits
- Compensation may include annual performance bonus, equity, and benefits.
- Benefits and perks vary by region.

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