Full-Time

Retail and Consumer Goods Leader

Databricks

Databricks

10,001+ employees

Data lakehouse platform for analytics

No salary listed

London, UK + 2 more

More locations: Paris, France | Germany

In Person

Category
Business & Strategy (2)
,
Required Skills
Forecasting
Databricks
Requirements
  • An Industry Insider with Builder DNA; you've held senior leadership or practitioner roles in Retail or Consumer Goods and are energized by building something new rather than optimizing what exists.
  • Entrepreneurial by Nature; you've operated in environments where the path wasn't paved, comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback; ambiguity is where you do your best work.
  • A GTM Architect; extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value.
  • An Executive Relationship Builder; you engage naturally with CXOs and senior business leaders, create trust through substance, and translate technical capability into strategic business value.
  • A Transformation Leader; you've led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations.
  • Technically Fluent; deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry.
  • Regulatory Aware; understand the European regulatory environment—GDPR, greenhouse gas compliance, food waste, sustainability reporting—and can navigate these considerations in strategic conversations.
  • A Program Operator; you've managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones.
  • A Force Multiplier; proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail & Consumer Goods customers.
  • Multilingual; Fluent in English with strong proficiency in French or German.
Responsibilities
  • Design and execute a go-to-market strategy that doesn't yet exist in its final form, establishing C-level relationships with flagship accounts, constructing an ecosystem of independent software vendors, system integrators, and alliance partners, and creating repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale.
  • Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue.
  • Identify, cultivate, and scale relationships with partners who will amplify reach; see partnerships that should exist and make them real.
  • Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within go-to-market approach; build feedback loops and improvement mechanisms.
  • Create comprehensive, scalable sales initiatives tailored to EMEA's diverse geographies while contributing frameworks that support Americas and APJ; work cross-functionally to move plays from concept to revenue.
  • Establish Databricks as the authoritative voice in Retail & Consumer Goods transformation through authoring white papers, speaking at premier industry events, and engaging C-suite executives with a strategic point of view.
  • Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams; earn credibility through results and extend influence beyond formal remit.
  • Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers.
  • Build enablement content and coaching programs that elevate the entire verticalized sales organization; making others more effective is as important as direct contributions.

Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$27.1B

Headquarters

San Francisco, California

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Asia-Pacific revenue surges 85% YoY in Q4, expanding to 32,000 sq ft Singapore office in 2026.
  • Acquires Antimatter and SiftD.ai to launch Lakewatch, adopted by Adobe and Dropbox.
  • Partners with UiPath and DBOS to enhance AI agent reliability and workflow orchestration.

What critics are saying

  • Snowflake Cortex AI erodes differentiation with cheaper serverless LLMs, churns customers in 6-12 months.
  • Microsoft Fabric's 5x faster queries collapse Azure customers' SQL pricing in 3-9 months.
  • Anthropic terminates Claude partnership in Q1 2026, obsoletes Lakewatch security in 12-24 months.

What makes Databricks unique

  • Databricks unifies data engineering, science, and business on Apache Spark-powered lakehouse.
  • Lakewatch delivers AI agentic SIEM using Anthropic's Claude for petabyte-scale threat detection.
  • Unity Catalog enforces unified governance across data, models, and dashboards.

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Your Connections

People at Databricks who can refer or advise you

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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TechCrunch
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PR Newswire
Apr 7th, 2026
DBOS partners with Databricks to boost agentic AI reliability and observability

DBOS, Inc. has announced a technology partnership with Databricks to enhance the reliability and observability of agentic AI workflows. The collaboration integrates DBOS's open-source durable execution platform with Databricks and Lakebase, Databricks' serverless Postgres database designed for AI agents. The partnership addresses challenges in agentic AI, including long-running workflows and unpredictable model responses. DBOS stores workflow checkpoints in Lakebase in real time, enabling AI agent workflows to resume automatically after failures without data loss. Yutori, an AI company building autonomous web agents, is already using the combined platform to power its workflows. The integration is available immediately and requires no additional infrastructure or coding changes. DBOS is backed by joint MIT-Stanford research and serves AI startups and Fortune 100 companies.

SiliconANGLE Media
Apr 7th, 2026
London AI security startup Trent AI raises $13M to protect AI agents from cyber threats

Trent AI, a London-based AI security startup, has launched with $13 million in seed funding led by LocalGlobe and Cambridge Innovation Capital. Executives from Databricks and Stripe also participated. Founded by former Amazon Web Services engineers Eno Thereska, Neil Lawrence and Zhenwen Dai, Trent AI has developed a platform that uses AI agents to identify cybersecurity issues in AI agents and their generated code. The platform employs four groups of agents that find exploits, rank vulnerabilities by severity, generate remediation suggestions, and track security changes over time. The platform can simulate complex attack paths and provides tool-specific features for OpenClaw and Lovable. Trent AI claims its technology outperforms traditional cybersecurity products designed for conventional software. The company will use the funding to expand its customer base and engineering team.