Sr. Manager, Field Engineering - Telco
- Pay
- $172,500 – $237,150 per year
- Location
- United States
- Job type
- Full-time
- Level
- Director
- Experience
- 7+ years
- Listed
- 21 days ago
Skills & highlights for this role
- data warehousing
- machine learning
- pre-sales technical leadership
Also useful
- Solutions Architecture
- AI
Req ID - FEQ327R499
The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers' Data + AI experiences forward.
As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Telecommunications Segment of Databricks' Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.
The impact you will have
- You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.
- Make your customers extremely successful with Databricks and provide outsized value to their businesses.
- You will maintain a robust hiring pipeline at all times.
- Establish relationships across the business to make your customers and team successful.
- Partner with sales leadership to hit sales and consumption targets while ensuring customer success
- Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs
What we look for
- 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals
- 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI).
- A deep technical understanding of the impact that Data + AI can drive within various industry segments
- Technical competence to earn the trust of Engineering talent and leadership at Databricks.
- Trusted advisor to technical executives who guide strategic data infrastructure decisions.
- Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
- Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans.
- Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners.
- Experience working with other teams such as Product Management, Engineering, and Customer Success.
- Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range.
The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
- Zone 1 Pay Range $172,500—$237,150 USD
- Zone 2 Pay Range $172,500—$237,150 USD
- Zone 3 Pay Range $172,500—$237,150 USD
- Zone 4 Pay Range $172,500—$237,150 USD
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Equal opportunity and legal notices
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
From Databricks's careers page, first listed on Rolev.ai on October 19, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Sr. Manager, Field Engineering - Telco role at Databricks, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
- Manager Cyber Systems Engineering 2Ngc · Redondo Beach, CA
- Solutions Architect Manager, State and Local Government and Education, TexasAmazon Web Services, Inc. · Dallas, TX
- Senior ALS Lab ManagerCGS Federal (Contact Government Services) · Chicago, IL
- Head of DeliveryRoboflow · SF or Remote (US), NY
- AI Enablement LeadFirecrawl · San Francisco, CA
- Director of Go-to-Market EngineeringPerk · Chicago, IL
More at Databricks
All Databricks jobsCommon questions
What is the salary for the Sr. Manager, Field Engineering - Telco role at Databricks?
The Sr. Manager, Field Engineering - Telco posting at Databricks states compensation of $172,500 – $237,150 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.
Where is the Sr. Manager, Field Engineering - Telco job at Databricks located?
This Sr. Manager, Field Engineering - Telco position at Databricks is located in United States. Always check Databricks's application page for specific state eligibility or relocation policies.
What qualifications are required for Sr. Manager, Field Engineering - Telco at Databricks?
For the Sr. Manager, Field Engineering - Telco role, Databricks highlights 7+ years of relevant experience; experience with data warehousing, machine learning, pre-sales technical leadership. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Sr. Manager, Field Engineering - Telco position at Databricks?
This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.