Pre-sales Engineering Manager (Retail & CPG)

Menlo Ventures; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Databricks is expanding its Field Engineering leadership in the UK & Ireland, focusing on Retail and CPG sectors. You will lead a team of pre‑sales Solutions Architects, drive revenue growth, and coach others to collaborate with sales teams.

You will partner with sales, mentor staff, and promote AI‑enabled workflows to accelerate customer success across large enterprises.

Qualifications

• 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.

Responsibilities

• 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 and embody Databricks' customer‑obsessed values.
• Support an increase in consumption revenue through Solutions Architect involvement in sales cycles.
• Promote a solution and value‑based selling field‑engineering organisation.
• Lead from the front by engaging with key customer stakeholders on projects and technical decisions.
• Help Databricks expand by inspiring customers as processes evolve.

Skills

AI-native mindset

Pre-sales leadership

Team building

Stakeholder management

Data-driven decisions

Cloud and Big Data

Tools

Databricks Platform

Job description

(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

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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, 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.

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