Databricks

Manager, Field Engineering - Strategic Digital Native Business

Databricks • $172K — $237K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in data-related technical products (e.g., data warehousing, big data, cloud infrastructure, machine learning)
  • 3+ years of experience leading technical customer-facing teams in a high-growth environment
  • Proven track record of building territories and exceeding strategic account targets
  • Ability to inspire a team vision tailored to the digital natives business
  • Experience managing workloads in collaboration with sales, product, and engineering teams
  • Demonstrated success in aligning with executives to influence strategic decisions

Responsibilities

  • Hire and develop a team of technical Solutions Architects for digital native customers
  • Adapt team skills and engagement models to meet customer needs
  • Ensure the team technically qualifies workloads and identifies key use cases
  • Travel to customer sites for workshops and relationship building
  • Establish cross-functional relationships to support customer and team success
  • Stay updated on emerging Data and AI trends in the tech sector

Benefits

  • Comprehensive benefits and perks tailored to employee needs
  • Eligibility for annual performance bonuses
  • Equity options available
  • Support for career growth and development
  • Flexible work arrangements
Full Job Description
As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies.

You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.

This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.

This role will report to the leader of Solutions Architects for the Strategic Digital Native Business Unit focused on AI Native companies.

Responsibilities:
  • Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
  • Adapt the SA team's skills and engagement model to match the needs of Digital native customers
  • Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
  • Travel to customer sites for executive sessions, technical workshops, and building relationships
  • Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
  • Stay current with emerging Data and AI trends in the digital native tech sector

What we look for:
  • 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)
  • 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
  • A history of building a territory, growing strategic accounts, and exceeding targets
  • Inspiring a team vision about the unique nature of the digital natives business
  • A history of execution by managing workloads and consumption with sales, product, and engineering counterparts
  • Experience owning executive alignment in accounts that guide strategic decisions


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 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 anticipates 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.

Local Pay Range

$172,500-$237,150 USD

BenefitsAt 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 click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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