---
title: 'Analyst Relations Manager at Databricks'
canonical: 'https://feeny.ai/job/analyst-relations-manager-databricks-united-states-2bq24xm5esmw'
type: 'job'
last_seen: '2026-10-31'
---

# Analyst Relations Manager at Databricks

- **Company:** Databricks
- **Location:** United States
- **Compensation:** $103k–$177k
- **Posted:** 2026-10-30
- **Last confirmed live:** 2026-10-31
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8860646002

## Job description

## MKTQ327R47

Databricks is hiring an Analyst Relations Manager to strengthen its position as the category leader in AI, data management, security, business intelligence and emerging markets. You will lead priority analyst evaluations, create the evidence and narratives that differentiate Databricks, and scale the team’s impact through AI-assisted workflows. Working across product, product marketing, sales and executive teams, you will turn analyst insight into better product decisions, positioning and field execution.

The impact you will have

- 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.

## What we look for

- 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.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf).

Zone 1 Pay Range $128,800—$177,100 USD

Zone 2 Pay Range $115,900—$159,400 USD

Zone 3 Pay Range $109,500—$150,600 USD

Zone 4 Pay Range $103,000—$141,700 USD

## 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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 Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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