Databricks

Sr. Manager, Field Engineering - Strat Media

Databricks$218K — $300K *
Media
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in data-related technical roles (e.g. data warehousing, big data, machine learning).
  • 3+ years of management experience leading technical pre-sales or solutions architecture teams.
  • In-depth knowledge of the advertising and media agency ecosystem, including data flow between various stakeholders.
  • Experience in building and leading pre-sales teams, focusing on hiring and onboarding.
  • Deep understanding of how Data & AI influence the Media and Entertainment industry, particularly within the Media Agency Ecosystem.
  • Proven ability to serve as a trusted advisor to technical executives.

Responsibilities

  • Hire, train, and manage a team of Solutions Architects in a high-growth environment.
  • Ensure customer success in the Agencies segment using Databricks.
  • Maintain a robust hiring pipeline for the Solutions Architecture team.
  • Establish and strengthen relationships across the business to facilitate customer success.
  • Partner with sales to achieve sales and consumption targets.
  • Keep the team updated with advanced technical knowledge relevant to the Media Advertising industry.
  • Guide your team in best practices for technical qualification and architecture discussions.

Benefits

  • Comprehensive benefits package to support employee needs.
  • Flexibility in work location, promoting remote opportunities.
Full Job Description
Req ID FEQ327R504

Title: Sr. Manager - Strat Media

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major media agencies, ad tech, and Data/Identity companies are leveraging the Databricks Data Intelligence Platform to accelerate their data-driven strategies. Our team is hiring a dynamic Solution Architecture (SA) leader who intimately understands the Agencies ecosystem and how a modern data architecture is critical to advancing their Data & AI initiatives. Additionally, this SA leader will inspire their team of Solution Architects by translating their team's vision into a tangible and effective strategy in order to drive our customers' data and AI experiences forward.

The Sr. Manager, Solutions Architecture, will help lead a team of SAs within Databricks' Field Engineering team's Agency segment. Reporting to the Director, Field Engineering, you will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (pre-sales, technical acumen, demonstrations), 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 operates efficiently to accelerate Databricks' market growth.

The Agencies vertical sits at the intersection of data, AI, and advertising. You'll lead a team that works with some of the most data-intensive companies in the world, holding companies managing billions in media spend and influencing the broader buy and sell side ecosystem.

The Impact You Will Have
  • You will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode.
  • Make your customers in the Agencies segment 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 and ensure customer success
  • Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack, while tying it back to key initiatives and trends across the Media Advertising industry. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs


What We Look For
  • 7+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
  • 3+ years of first-line management experience leading technical pre-sales or solutions architecture teams - including hiring, onboarding, coaching, performance management, and career development.
  • Understanding of the advertising and media agency ecosystem - how holdcos are structured, how data flows between brands, agencies, publishers, and ad tech platforms.
  • 3+ years of experience building and leading technical pre-sales teams - hiring, on-boarding, and enabling pre(and post)-sales professionals.
  • A deep technical understanding of the impact that Data & AI can drive within the Media and Entertainment industry, with a specific focus on the Media Agency Ecosystem.
  • 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 candidates, ramping them up to be successful, and promoting them into larger roles.
  • Build team morale and foster working relationships among Field Engineering, Sales, and other key internal partners.
  • Experience working with teams across Sales, Product Management, Engineering, and Customer Success.
  • Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
  • 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

$218,400-$300,300 USD

Zone 2 Pay Range

$218,400-$300,300 USD

Zone 3 Pay Range

$218,400-$300,300 USD

Zone 4 Pay Range

$218,400-$300,300 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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