Pre-sales Engineering Manager (Retail & CPG)

Databricks
London, United Kingdom
Hybrid

Who this role is best for

Aimed at mid-level pre-sales leaders with experience in Retail and CPG sectors, who can scale teams and drive revenue through technical collaboration.

Best fit for

  • Mid-level pre-sales leaders with proven team-building and sales cycle support experience in Retail and CPG
    — “Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals.
  • Individuals with a track record of working with large corporations and influencing technical decisions
    — “Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions.

Things to consider

  • There may be limitations on access to export-controlled technologies due to regulatory 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.

How to stand out

  • Highlight your ability to scale teams while maintaining technical quality and customer focus
    — “Rapidly scale the designated team without sacrificing quality.
  • Emphasize your experience in developing go-to-market strategies for complex accounts
    — “Experience in developing go-to-market (GTM) strategies.
  • Demonstrate your background in coaching and mentoring field and technical teams
    — “Have experience scaling and mentoring field and technical teams.
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Manager

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • managing a pre-sales solutions architect team
  • scaling the team without sacrificing quality
  • building a collaborative culture
  • increasing consumption revenue
  • promoting a solution and value-based selling organization
Typical background
pre-sales leader roleexperience in a customer-facing roledeveloping go-to-market strategies

Skills & requirements

Required

Pre-salesSolutions ArchitectureAICloud Software ModelsData-driven DecisionsTeam ManagementComplex Sales CyclesCustomer-facing Roles

Preferred

Retail And CPG Sector Experience

Stack & domain

CommunicationMentoringRetailConsumer Packaged GoodsCloud SoftwareAI

About the role

Original posting from Databricks

(FEQ427R369)

As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Retail and Consumer Packaged Goods sectors. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be a skilled communicator with experience addressing complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. 

You will report to the Director, Field Engineering.

The impact you will have:

Manage hiring, onboarding and building your Pre-Sales Solutions Architect team

Where required, rapidly scale the designated team without sacrificing quality

Comfortable leading by example by using AI to improve day-to-day workflows to scale the team output

Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture

Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles

Promote a solution and value-based selling field-engineering organisation

Display an understanding of business needs and revenue potential for accounts in the assigned region

Build Databricks' brand in UK&I in partnership with the Marketing and Sales team

Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions

Help Databricks continue to expand by inspiring our customers as we evolve our processes to support our business and technical growth

What we look for:

Have AI native builder mentality by using AI to enhance your own productivity and that of your team

Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals.

Experience in a customer-facing role across the Retail and CPG sectors in the UK and Ireland

Experience in developing go-to-market (GTM) strategies

Experience in complex strategic accounts 

Have experience scaling and mentoring field and technical teams

Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models

Great at instituting processes for technical field members to improve efficiency

#LI-hybrid

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.

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 click here.

Our Commitment to Diversity and Inclusion

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.

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.

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Source: Databricks careers

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