Senior Manager, Field Engineering – Telco

Databricks

. Hire, train, grow, and manage a team of Solutions Architects for Databricks .

Posted 11/3/2026full-timeRemote • California • United StatesSenior💰 $172,500 - $237,150 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading technical pre-sales teams within the Data + AI space, focusing on hiring, training, and managing performance while driving customer success through strategic data infrastructure decisions. Possesses deep technical knowledge of data warehousing, big data, data science, and machine learning to influence complex architectures and foster collaboration across teams.

Highest-signal resume keywords

Technical Pre-Sales LeadershipData + AI ExpertiseArchitectural InfluenceCustomer Success ManagementTeam Development and Coaching

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical Pre-Sales ActivitiesData WarehousingBig DataData ScienceMachine LearningArchitecture DiscussionsProofs of ConceptProduct DemonstrationsHiring and OnboardingPerformance Management

Soft Skills

Relationship BuildingInfluencing SkillsCoachingCollaborationCommunication

Tools & Technologies

DatabricksData + AI Technology Stack

Industry Keywords

Customer SuccessField EngineeringSales LeadershipTechnical QualificationStrategic Data InfrastructureExport-Control Compliance

About the role

Key responsibilities & impact

Hire, train, grow, and manage a team of Solutions Architects for Databricks
Drive customer success and provide substantial business value through Databricks
Maintain a robust hiring pipeline
Establish relationships across the business to support customers and the team
Partner with sales leadership to achieve sales and consumption targets while ensuring customer success
Keep Solutions Architects current on the Data + AI technology stack through continuous learning
Lead technical pre-sales activities including qualification, proofs of concept, architecture discussions, and product demonstrations
Influence and review complex architectures and guide teams and customers toward scalable solutions

Requirements

What you’ll need

3+ years of experience building and 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, such as data warehousing, big data, data science, machine learning, or AI
Deep technical understanding of the impact Data + AI can drive within various industry segments
Technical competence to earn the trust of Engineering talent and leadership
Trusted advisor to technical executives guiding strategic data infrastructure decisions
Experience with technical qualification, proof of concepts, architecture discussions, and product demonstrations
Experience hiring, ramping, promoting, and managing performance of pre-sales professionals
Experience fostering relationships between Field Engineering, Sales, and internal partners
Experience working with Product Management, Engineering, and Customer Success
Demonstrated architectural influence and ability to review complex architectures
Must comply with applicable U.S. export-control requirements; employer may decline to proceed if a government license is not pursued or obtained

Benefits

Comp & perks

Annual performance bonus eligibility
Equity eligibility
Comprehensive benefits and perks (specific regional details provided via Databricks benefits information)