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Databricks

Builds cloud software for data analysis and AI

Analyst Relations Manager

PR & CommunicationsConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • Four to seven years of experience in analyst relations, or in product or technical marketing with direct responsibility for major analyst evaluations, ideally in data, analytics, artificial intelligence and machine learning, or cloud platforms.
  • A track record of improving analyst evaluation placement, market perception, or coverage, with results that can be clearly described.
  • Hands-on experience using artificial intelligence tools to improve research, writing, or program workflows, and 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.

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, requests for information, briefings, demonstrations, references, and fact checks on time and in full as evaluation volume grows.
  • Improve the quality and consistency of 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.
  • Build and run artificial intelligence-assisted workflows for requests for information drafting and review, analyst outreach and follow-up, research summaries, and finding analyst quotes and statistics.
  • Enable product marketing, product, and field teams to complete repeatable research, drafting, and follow-up work with less direct analyst-relations 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.

About the Company

Databricks

Builds cloud software for data analysis and AI

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, CA
Founded
2013

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