CSQ128R175

As a Senior Engagement Manager at Databricks, you will play a critical role in leading and scaling the Forward Deployed Engineering (FDE) motion across a Business Unit or region. This position is ideal for someone who has been hands-on with data and AI technologies, understands architecture and delivery deeply, and now wants to transition into a customer-facing, sales-aligned leadership role. You will act as a trusted advisor to executives and a strategic partner to account teams, combining technical credibility with commercial impact.

This quota-carrying role goes beyond managing individual engagements — you will embed FDE into Databricks’ broader platform growth, ensuring our customers achieve measurable business value from their investments.

The impact you will have

Lead the Forward Deployed Engineering motion in your region, aligning closely with Sales, Delivery, and Field Engineering leadership.
Drive adoption and expansion by positioning and selling standard and customized Forward Deployed Engineering and training offerings from discovery through closing.
Integrate services into platform deals, ensuring customers achieve measurable business outcomes.
Act as the technical-commercial bridge: leverage your technical background to engage in architecture discussions, scope solutions, and guide customers toward successful implementations.
Shape account strategies by aligning service offerings with client goals, transformation roadmaps, and long-term success.
Collaborate with partners (GSIs, RSIs, cloud providers) to co-sell, develop joint account strategies, and deliver integrated services.
Bring industry expertise to conversations with customers, demonstrating the art of the possible, creating demand, and building credibility as a trusted advisor.
Demonstrate technical depth on Databricks and data/AI platforms to scope engagements, support solutioning, and lead technical conversations.
Coach and mentor junior Engagement Managers, supporting peer development and best practice adoption.

What we look for

Strong background in customer-facing roles, including consulting, solutioning, and executive engagement, with the ability to engage in architecture-level discussions and translate technical designs into business outcomes.
Deep industry expertise with the ability to “speak the language” of customers and demonstrate relevant use cases.
Extensive experience in Professional Services sales and delivery leadership, ideally in the Data & AI domain.
Solid technical knowledge of data and AI platforms (preferably Databricks) with the ability to scope and solution services engagements.
Strong program management and delivery oversight skills, with the ability to align cross-functional teams to customer outcomes.
Excellent communication, influencing, and negotiation skills across executives, technical teams, partners, and internal stakeholders.
Travel to customers 20% of the time.

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.

About the company

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company Size

10,001+

Company Stage

Late Stage VC

Total Funding

$32.1B

Headquarters

San Francisco, California

Founded

2013

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Simplify's Take

What believers are saying

Growth supports larger product bets: Databricks reported over 80% yearly growth and a $7 billion revenue run-rate in August 2026.
Employees try frontier AI immediately: Databricks says its 12,000 staff received day-one access to September 2026 model releases.
Existing customers spend more: Databricks reported over 140% revenue retention in February 2026, after contractions and departed accounts.

What critics are saying

Steep valuation: Databricks' August 2026 round valued it near 27 times its $7 billion annualized revenue milestone.
A partner controls part of the bill: Microsoft sets Azure Databricks prices and bills those customers directly.
Equity needs planned liquidity: Databricks remains privately held, so employee shares lack an everyday stock-market exit.

What makes Databricks unique

Governance extends beyond its own engine: Databricks publishes Unity Catalog's core APIs and server as open source.
Apps run beside analytics: Databricks' Lakebase combines a Postgres database with its data lake and isolated testing branches.
Its roots are in distributed computing: Databricks' founders created Apache Spark, which processes large datasets across many computers.

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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

1 year growth

2 year growth

-1%

Business Wire

Oct 19th, 2026

Factory partners with Databricks to bring autonomous coding agents to enterprises

Factory, a San Francisco startup that builds autonomous software engineering tools, has partnered with data and AI company Databricks. Enterprises can now run Factory's software agents, called Droids, with data and models they already govern in Databricks. Factory is available on Databricks Marketplace, and eligible customers can use existing Databricks commitments to buy it. Droids now draw on open weight and proprietary models from Databricks Unity Gateway, and Factory can run on a company's existing infrastructure. "Factory agents, powered by models from Unity Gateway and governed through Unity Catalog, give customers a faster path from code to production," said Ali Ghodsi, chief executive officer of Databricks. Factory is now a Databricks ISV partner and will build on the Databricks Data + AI Platform.

Yahoo Finance

Oct 14th, 2026

Pricefx partners with Databricks to run AI pricing directly on governed lakehouse data

Pricefx, a pricing intelligence company for B2B enterprises, has partnered with Databricks to let manufacturers and distributors manage pricing directly on data they already hold in Databricks. The company announced the move on October 14, 2026, at its Accelerate 2026 conference in Denver. The native integration aims to cut implementation time and end reliance on stale data. Pricing teams will work from current data, while IT keeps governance through Databricks' Unity Catalog. Pricefx will roll it out in three stages: a data connector, a zero-copy option that keeps data in Databricks, and pricing agents on Databricks Marketplace. The last two are coming soon. "Pricing is where that investment should pay off directly in margin," said Ronak Sheth, chief executive officer of Pricefx.

Databricks

Oct 14th, 2026

Tecton is Joining Databricks to Power Real-Time Data for Personalized AI Agents | Databricks Blog

Tecton is joining Databricks to deliver fast, reliable real-time data for AI agents.

Associated Press

Oct 8th, 2026

Tel Aviv's Seemoredata launches Databricks cost optimisation as enterprises seek to fund $2.5T AI spending

Tel Aviv-based Seemore Data has launched early access to its cost optimisation platform for Databricks, targeting enterprises seeking to fund AI initiatives. The startup's context-aware control plane now covers Databricks SQL warehouses, Lakeflow jobs, all-purpose clusters, and AI services. The launch addresses growing demand for AI funding as Gartner forecasts worldwide AI spending to reach $2.5 trillion in 2026. According to IDC, 45% of companies plan to fund AI from existing software budgets. Seemore's platform provides full cost attribution across Databricks workloads and automatically optimises SQL warehouses within customer-set parameters. The company claims its Snowflake customers achieve an average 33% bill reduction and expects comparable results for Databricks users. The service requires only metadata-only access and does not access customer data. It is available for organisations running Databricks with Unity Catalog.

GeekWire

Sep 24th, 2026

Databricks acquires Seattle startup Row Zero to embed enterprise spreadsheets in AI platform

Databricks has acquired Seattle startup Row Zero, founded in 2021 by former Amazon Web Services engineers Breck Fresen and Nick End. Row Zero built enterprise spreadsheet software designed to process millions of rows at cloud scale without performance issues. The startup raised a $10 million Series A round last year. Row Zero's standalone product will remain available whilst the team integrates its engine across Databricks' platform, which serves over 20,000 organisations, including 70% of the Fortune 500. Fresen and End previously founded Shoefitr, which Amazon acquired in 2015. San Francisco-based Databricks recently crossed a $7 billion annualized revenue run-rate and raised a $5 billion funding round in August, reaching a $190 billion valuation.