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Marketing jobs

9 marketing jobs

6 days ago

Analyst Relations Manager

Databricks

San Francisco, CA (On-site)Full time$103K/yr – $177K/yr

2 weeks ago

Sr. Public Relations Manager

Databricks

San Francisco, CA (Unknown)$167K/yr – $229K/yr

2 weeks ago

Sr. Public Relations Manager

Databricks

San Francisco, CA (On-site)Full time$167K/yr – $229K/yr

3 weeks ago

Principal Brand Content & AI Search Visibility

Databricks

San Francisco, CA (On-site)Full time$223K/yr – $307K/yr

3 weeks ago

Director, Technical Marketing

Databricks

San Francisco, CA (On-site)Full time$223K/yr – $307K/yr

4 weeks ago

Customer Marketing Manager, Americas

Databricks

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

4 weeks ago

Sr. Partner Marketing Manager, AWS & AI Partners

Databricks

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

4 weeks ago

Principal Demand Generation Manager, Campaign Development

Databricks

USA (On-site)Full time$165K/yr – $283K/yr

5 weeks ago

Chief of Staff to the CMO

Databricks

San Francisco, CA (On-site)Full time$222K/yr – $305K/yr

Marketing jobs in the US

9 jobs

Analyst Relations Manager

Databricks

San Francisco, CA (On-site)

$103K/yr - $177K/yrIn-houseFull-timeMid level4+ years exp.

6 days ago

Sr. Public Relations Manager

Databricks

San Francisco, CA (Unknown)

$167K/yr - $229K/yrIn-houseSenior level8+ years exp.

2 weeks ago

Sr. Public Relations Manager

Databricks

San Francisco, CA (On-site)

$167K/yr - $229K/yrIn-houseFull-timeSenior level8+ years exp.

2 weeks ago

Principal Brand Content & AI Search Visibility

Databricks

San Francisco, CA (On-site)

$223K/yr - $307K/yrIn-houseFull-timeSenior level10+ years exp.

3 weeks ago

Director, Technical Marketing

Databricks

San Francisco, CA (On-site)

$223K/yr - $307K/yrIn-houseFull-timeDirector/executive

3 weeks ago

Customer Marketing Manager, Americas

Databricks

USA (On-site)

$179K/yr - $307K/yrIn-houseFull-timeMid level4+ years exp.

4 weeks ago

Sr. Partner Marketing Manager, AWS & AI Partners

Databricks

San Francisco, CA (On-site)

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

4 weeks ago

Principal Demand Generation Manager, Campaign Development

Databricks

USA (On-site)

$165K/yr - $283K/yrIn-houseFull-timeSenior level7+ years exp.

4 weeks ago

Chief of Staff to the CMO

Databricks

San Francisco, CA (On-site)

$222K/yr - $305K/yrIn-houseFull-timeSenior level10+ years exp.

5 weeks ago

Databricks

Analyst Relations Manager

San Francisco, CA (On-site)

$103K/yr – $177K/yrMid Level4+ years expFull time

Posted 6 days ago

Job Summary

Own and drive the global analyst relations program to improve Databricks' placement, advocacy and visibility, delivering high-quality evaluations, briefings and evidence-based narratives at scale across major analyst firms.

Manage priority submissions, RFIs, briefings, demos and references to boost Gartner/Forrester/IDC positioning.
Build reusable, scoreable proof points and narratives for product marketing and executives.
Scale research and outreach with AI-assisted workflows to increase efficiency without sacrificing quality.

Job Description

Responsibilities

Improve Databricks’ placement and movement in priority Gartner Magic Quadrants, Forrester Waves, IDC MarketScapes and similar evaluations through complete, differentiated submissions, compelling demonstrations and credible customer evidence.
Increase the team’s evaluation capacity without sacrificing quality by delivering priority questionnaires, RFIs, briefings, demonstrations, references and fact checks on time and in full as evaluation volume grows.
Improve the quality and consistency of Databricks’ analyst-facing content by developing clear, scoreable proof points and narratives that product and product marketing experts can reuse across evaluations and briefings.
Increase analyst advocacy and market visibility , measured by the frequency with which analysts cite or quote Databricks, reference its experts and customers, and invite the company to participate in relevant industry and analyst-firm events.
Improve executive and technical-expert effectiveness in high-stakes analyst conversations by ensuring leaders are aligned on narrative, differentiation and proof points before inquiries, briefings, demonstrations and advisory sessions.
Scale AR with AI. Build and run AI-assisted workflows for RFI drafting and review, analyst outreach and follow-up, research summaries, and finding analyst quotes and stats. Enable product marketing, product and field teams to complete repeatable research, drafting and follow-up work with less direct AR support.
Turn analyst research, inquiry feedback and evaluation results into recommendations that influence product roadmap decisions, messaging, positioning, field plays, campaigns, deals and executive narratives.

Requirements

4–7 years of experience in analyst relations, or in product or technical marketing with direct responsibility for major analyst evaluations, ideally in data, analytics, AI/ML or cloud platforms.
A track record of improving analyst evaluation placement, market perception or coverage, with results you can clearly describe.
Hands-on experience using AI tools to improve research, writing or program workflows, with the ability to identify and implement practical opportunities for scale.
Strong technical writing skills and the ability to turn complex product capabilities into differentiated, evidence-based narratives that analysts and senior executives can evaluate quickly.
Strong program management skills, including the ability to run multiple detailed, deadline-driven workstreams while maintaining quality and meeting commitments.
Experience preparing executives and technical experts for analyst conversations and aligning them on strategy, messaging and proof points.
The ability to influence product, marketing and sales partners, move work forward with limited support and collaborate effectively on a small, fast-moving team.

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

$103K/yr – $177K/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

4.1 years

Marketing Roles Posted (Last 30 Days)

People

Marketing Leadership

Rick Schultz

Chief Marketing Officer

At the company for 9 years 8 months

Anya Kuligina

Vice President Americas Marketing

At the company for 1 year 5 months

Jenna Kozel King

Vice President Brand & Corporate Marketing

At the company for 4 years 1 month

Amy Mackreth

Vice President, Global Event Marketing

At the company for 8 years 2 months

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

News about Databricks

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

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Career insights

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Responsibilities

Improve Databricks’ placement and movement in priority Gartner Magic Quadrants, Forrester Waves, IDC MarketScapes and similar evaluations through complete, differentiated submissions, compelling demonstrations and credible customer evidence.
Increase the team’s evaluation capacity without sacrificing quality by delivering priority questionnaires, RFIs, briefings, demonstrations, references and fact checks on time and in full as evaluation volume grows.
Improve the quality and consistency of Databricks’ analyst-facing content by developing clear, scoreable proof points and narratives that product and product marketing experts can reuse across evaluations and briefings.
Increase analyst advocacy and market visibility , measured by the frequency with which analysts cite or quote Databricks, reference its experts and customers, and invite the company to participate in relevant industry and analyst-firm events.
Improve executive and technical-expert effectiveness in high-stakes analyst conversations by ensuring leaders are aligned on narrative, differentiation and proof points before inquiries, briefings, demonstrations and advisory sessions.
Scale AR with AI. Build and run AI-assisted workflows for RFI drafting and review, analyst outreach and follow-up, research summaries, and finding analyst quotes and stats. Enable product marketing, product and field teams to complete repeatable research, drafting and follow-up work with less direct AR support.
Turn analyst research, inquiry feedback and evaluation results into recommendations that influence product roadmap decisions, messaging, positioning, field plays, campaigns, deals and executive narratives.

Requirements

4–7 years of experience in analyst relations, or in product or technical marketing with direct responsibility for major analyst evaluations, ideally in data, analytics, AI/ML or cloud platforms.
A track record of improving analyst evaluation placement, market perception or coverage, with results you can clearly describe.
Hands-on experience using AI tools to improve research, writing or program workflows, with the ability to identify and implement practical opportunities for scale.
Strong technical writing skills and the ability to turn complex product capabilities into differentiated, evidence-based narratives that analysts and senior executives can evaluate quickly.
Strong program management skills, including the ability to run multiple detailed, deadline-driven workstreams while maintaining quality and meeting commitments.
Experience preparing executives and technical experts for analyst conversations and aligning them on strategy, messaging and proof points.
The ability to influence product, marketing and sales partners, move work forward with limited support and collaborate effectively on a small, fast-moving team.