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Marketing jobs

29 marketing jobs

12 days ago

Lead GTM Enablement & Scale Architect, Product Enablement

Databricks

USA (Unknown)$174K/yr – $299K/yr

2 weeks ago

Director, Marketing Strategy and AI Transformation

Databricks

USA (Remote)Full time$177K/yr – $305K/yr

3 weeks ago

Sr. Industry Marketing Manager, Startups

Databricks

USA (On-site)Full time$131K/yr – $225K/yr

3 weeks ago

Sr. Industry Marketing Manager, Startups

Databricks

USA (Unknown)$131K/yr – $225K/yr

4 weeks ago

Sr. Video Editor (short-form)

Databricks

San Francisco, CA (On-site)Full time$176K/yr – $242K/yr

5 weeks ago

Director, Web Marketing

Databricks

San Francisco, CA (On-site)Full time$172K/yr – $296K/yr

5 weeks ago

Director, Web Marketing

Databricks

USA (Unknown)$172K/yr – $296K/yr

5 weeks ago

Director, Agent Marketing

Databricks

USA (On-site)Full time$179K/yr – $307K/yr

6 weeks ago

AMER Energy Industry Go-To-Market (GTM) Leader

Databricks

USA (On-site)Full time$353K/yr – $486K/yr

6 weeks ago

Principal Event Marketing Manager, Data + AI World Tour

Databricks

San Francisco, CA (On-site)Full time$154K/yr – $264K/yr

7 weeks ago

Sr. Event Marketing Manager, Field Programming

Databricks

San Francisco, CA (On-site)Full time$126K/yr – $217K/yr

7 weeks ago

Sr. Product Marketing Manager, Lakewatch

Databricks

San Francisco, CA (On-site)Full time$131K/yr – $225K/yr

1 month ago

Director, Product Marketing, AI

Databricks

San Francisco, CA (Remote)Full time$190K/yr – $326K/yr

1 month ago

Event Marketing Manager, 3P & Partner

Databricks

San Francisco, CA (On-site)Full time$96K/yr – $166K/yr

1 month ago

Director, Paid Media

Databricks

San Francisco, CA (On-site)Full time$147K/yr – $252K/yr

1 month ago

Principal Product Marketing Manager, AI Governance

Databricks

San Francisco, CA (Remote)Full time$131K/yr – $225K/yr

2 months ago

Director, Americas Field Marketing at Databricks

Databricks

San Francisco, CA (On-site)Full time$179K/yr – $307K/yr

2 months ago

Lead GTM Enablement & Scale Architect, Product Enablement

Databricks

USA (On-site)Full time$174K/yr – $299K/yr

3 months ago

Sr. Alliance Director, AI GTM

Databricks

District of Columbia, USA (Remote)Full time

3 months ago

Lead GTM Enablement & Scale Architect, Lakebase

Databricks

California, MO (On-site)Full time$174K/yr – $299K/yr

All marketing roles in the US

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All marketing roles in the US

Get alerts for this search

29 jobs

Lead GTM Enablement & Scale Architect, Product Enablement

Databricks

USA (Unknown)

$174K/yr - $299K/yrIn-houseSenior level8+ years exp.

12 days ago

Director, Marketing Strategy and AI Transformation

Databricks

USA (Remote)

$177K/yr - $305K/yrIn-houseFull-timeDirector/executive

2 weeks ago

Sr. Industry Marketing Manager, Startups

Databricks

USA (On-site)

$131K/yr - $225K/yrIn-houseFull-timeSenior level7+ years exp.

3 weeks ago

Sr. Industry Marketing Manager, Startups

Databricks

USA (Unknown)

$131K/yr - $225K/yrIn-houseSenior level7+ years exp.

3 weeks ago

Sr. Video Editor (short-form)

Databricks

San Francisco, CA (On-site)

$176K/yr - $242K/yrIn-houseFull-timeSenior level5+ years exp.

4 weeks ago

Director, Web Marketing

Databricks

San Francisco, CA (On-site)

$172K/yr - $296K/yrIn-houseFull-timeDirector/executive

5 weeks ago

Director, Web Marketing

Databricks

USA (Unknown)

$172K/yr - $296K/yrIn-houseDirector/executive10+ years exp.

5 weeks ago

Director, Agent Marketing

Databricks

USA (On-site)

$179K/yr - $307K/yrIn-houseFull-timeDirector/executive10+ years exp.

5 weeks ago

AMER Energy Industry Go-To-Market (GTM) Leader

Databricks

USA (On-site)

$353K/yr - $486K/yrIn-houseFull-timeSenior level10+ years exp.

6 weeks ago

Principal Event Marketing Manager, Data + AI World Tour

Databricks

San Francisco, CA (On-site)

$154K/yr - $264K/yrIn-houseFull-timeSenior level10+ years exp.

6 weeks ago

Sr. Event Marketing Manager, Field Programming

Databricks

San Francisco, CA (On-site)

$126K/yr - $217K/yrIn-houseFull-timeSenior level

7 weeks ago

Sr. Product Marketing Manager, Lakewatch

Databricks

San Francisco, CA (On-site)

$131K/yr - $225K/yrIn-houseFull-timeSenior level

7 weeks ago

Director, Product Marketing, AI

Databricks

San Francisco, CA (Remote)

$190K/yr - $326K/yrIn-houseFull-timeDirector/executive10+ years exp.

1 month ago

Event Marketing Manager, 3P & Partner

Databricks

San Francisco, CA (On-site)

$96K/yr - $166K/yrIn-houseFull-timeMid level

1 month ago

Director, Paid Media

Databricks

San Francisco, CA (On-site)

$147K/yr - $252K/yrIn-houseFull-timeDirector/executive

1 month ago

Principal Product Marketing Manager, AI Governance

Databricks

San Francisco, CA (Remote)

$131K/yr - $225K/yrIn-houseFull-timeSenior level8+ years exp.

1 month ago

Director, Americas Field Marketing at Databricks

Databricks

San Francisco, CA (On-site)

$179K/yr - $307K/yrIn-houseFull-timeDirector/executive8+ years exp.

2 months ago

Lead GTM Enablement & Scale Architect, Product Enablement

Databricks

USA (On-site)

$174K/yr - $299K/yrIn-houseFull-timeSenior level8+ years exp.

2 months ago

Sr. Alliance Director, AI GTM

Databricks

District of Columbia, USA (Remote)

In-houseFull-timeSenior level

3 months ago

Lead GTM Enablement & Scale Architect, Lakebase

Databricks

California, MO (On-site)

$174K/yr - $299K/yrIn-houseFull-timeSenior level8+ years exp.

3 months ago

Databricks

Lead GTM Enablement & Scale Architect, Product Enablement

USA (Unknown)

$174K/yr – $299K/yrSenior Level8+ years exp

Posted 12 days ago

Job Summary

Own the global GTM and enablement for the Databricks product area across Field Engineering and Partner Technical Sales, building scalable, AI‑driven enablement, and a data‑driven feedback loop to influence product. Lead multi‑format assets, scalable demos, and field tools while maintaining a practitioner mindset and partnering with Product and Engineering.

Define and ship scalable enablement assets aligned to roadmap and field needs
Build AI-powered tools and demo environments for rapid impact
Establish KPIs and a data-driven feedback loop to inform product decisions

Job Description

Responsibilities

Own the global GTM and enablement strategy for your Databricks product area for Field Engineering and Partner Technical Sales - from foundational knowledge through advanced competitive positioning
Build and ship enablement at scale using AI: use vibe coding, and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments - then curate for accuracy and field impact
Drive a 'builder-first' SA culture by architecting scalable demo environments and POC repositories designed for forking, rapid customization, and deep technical proof-of-concept delivery
Partner directly with Product and Engineering leadership to stay ahead of the roadmap and translate upcoming features into field-ready assets before GA
Establish a tight product feedback loop - systematically capture field friction, lost deals, and SA objections and channel them back to Product with actionable recommendations. You have the standing to tell PMs what's not working and the data to back it up
Design the competitive narrative architecture and build the "why Databricks" story that gives an SA confidence walking into a room with a customer executive
Create scalable, multi-format enablement: Deep dives, solutions, AI role-plays, hands-on labs, and self-paced learning paths - always with a bias toward assets SAs can use in a customer conversation immediately
Build AI-powered tools that make the field smarter: agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals
Define and track KPIs that measure field readiness, and whether SAs are actually winning more deals in your product area
Stay a practitioner yourself: spend ~10-15% of your time in customer-facing moments - customer executive briefings, select competitive POCs, because what you build is sharper when you've defended the position in front of a customer executive, not just written it down

Requirements

8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure
You've been the SA in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor. That lived experience is what makes your enablement credible
Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases)
Builder mentality: you default to building tools, demos, and automations, not decks. You use AI tools as a daily force multiplier, not a novelty
Demonstrated ability to build enablement programs from scratch (0-to-1), not just iterate on existing content. You see a blank page as an opportunity, not a problem
Strong product instinct: you can look at a feature roadmap and immediately see how it maps to customer use cases and competitive differentiation
Experience working directly with Product and Engineering teams as a peer, not just a consumer of their content
The backbone to tell Product "the field can't sell this because X" - backed by data and field evidence
Scaling mindset: everything you build needs to work for a global field team, not a 20-person workshop. You think about leverage and automation before you think about live delivery
Exceptional communication skills - you can make complex technical concepts accessible to a broad technical audience

Preferred

Experience at a high-growth infrastructure company during a major product launch
Background in both pre-sales and post-sales technical roles - you've lived the full customer lifecycle
Hands-on experience with Databricks or competitive platforms
Experience building AI applications on modern data and AI platforms (RAG patterns, agent architectures, etc.)
You've already used AI to build at scale - automating content creation, building internal tools, or shipping demos faster than anyone thought possible

Benefits

Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
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.

Databricks

4.2 Glassdoor

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. ---Databricks applicantsPlease apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Founded in 2021

San Francisco, California, USA

14K employees (482 in marketing)

databricks.com

82% recommend to a friend

93% CEO approval

Salaries

Posted range

$174K/yr – $299K/yr

Taken straight from the job posting.

See all Databricks salaries

Marketing Team

Marketing Team Size

367 (3% of company)

Median Career Experience

15 years

Median Tenure

4 years

Marketing Roles Posted (Last 30 Days)

People

Marketing Leadership

Rick Schultz

Chief Marketing Officer

At the company for 9 years 7 months

Anya Kuligina

Vice President Americas Marketing

At the company for 1 year 4 months

Jenna Kozel King

Vice President Brand & Corporate Marketing

At the company for 4 years

Amy Mackreth

Vice President, Global Event Marketing

At the company for 8 years 1 month

Funding

Total Funding

$27.2B

Last Raise

$2B

Debt Financing, 1 months ago

Funding History

Feb 2026
Debt Financing • $2B
Dec 2025
Series Unknown • $5B
Sep 2025
Series Unknown • $1B

Traffic Signals

Monthly Visitors

4.5M

Monthly Google Ads Budget

$363.4K

Traffic Source Mix

37.1%

Direct

51.8%

Referral

6.5%

Social

2.4%

Paid

2.1%

Headcount Trend

Current headcount: ~13.9K

Recent News

Databricks Chases $130 Billion Valuation as Wall Street Bails on Nvidia

Nov 18, 2025 • Yahoo Finance

Databricks reportedly in talks to raise funding at a $130B+ valuation

Nov 18, 2025 • TechCrunch

Databricks Seeks $130 Billion Valuation, Information Says

Nov 18, 2025 • Bloomberg.com

Links

databricks.com

X (Twitter)

Crunchbase

Responsibilities

Own the global GTM and enablement strategy for your Databricks product area for Field Engineering and Partner Technical Sales - from foundational knowledge through advanced competitive positioning
Build and ship enablement at scale using AI: use vibe coding, and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments - then curate for accuracy and field impact
Drive a 'builder-first' SA culture by architecting scalable demo environments and POC repositories designed for forking, rapid customization, and deep technical proof-of-concept delivery
Partner directly with Product and Engineering leadership to stay ahead of the roadmap and translate upcoming features into field-ready assets before GA
Establish a tight product feedback loop - systematically capture field friction, lost deals, and SA objections and channel them back to Product with actionable recommendations. You have the standing to tell PMs what's not working and the data to back it up
Design the competitive narrative architecture and build the "why Databricks" story that gives an SA confidence walking into a room with a customer executive
Create scalable, multi-format enablement: Deep dives, solutions, AI role-plays, hands-on labs, and self-paced learning paths - always with a bias toward assets SAs can use in a customer conversation immediately
Build AI-powered tools that make the field smarter: agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals
Define and track KPIs that measure field readiness, and whether SAs are actually winning more deals in your product area
Stay a practitioner yourself: spend ~10-15% of your time in customer-facing moments - customer executive briefings, select competitive POCs, because what you build is sharper when you've defended the position in front of a customer executive, not just written it down

Requirements

8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure
You've been the SA in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor. That lived experience is what makes your enablement credible
Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases)
Builder mentality: you default to building tools, demos, and automations, not decks. You use AI tools as a daily force multiplier, not a novelty
Demonstrated ability to build enablement programs from scratch (0-to-1), not just iterate on existing content. You see a blank page as an opportunity, not a problem
Strong product instinct: you can look at a feature roadmap and immediately see how it maps to customer use cases and competitive differentiation
Experience working directly with Product and Engineering teams as a peer, not just a consumer of their content
The backbone to tell Product "the field can't sell this because X" - backed by data and field evidence
Scaling mindset: everything you build needs to work for a global field team, not a 20-person workshop. You think about leverage and automation before you think about live delivery
Exceptional communication skills - you can make complex technical concepts accessible to a broad technical audience

Preferred

Experience at a high-growth infrastructure company during a major product launch
Background in both pre-sales and post-sales technical roles - you've lived the full customer lifecycle
Hands-on experience with Databricks or competitive platforms
Experience building AI applications on modern data and AI platforms (RAG patterns, agent architectures, etc.)
You've already used AI to build at scale - automating content creation, building internal tools, or shipping demos faster than anyone thought possible

Benefits

Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
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.