Analyst Relations Manager

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.