Jobs / United States / Databricks

Databricks

Analyst Relations Manager

United States Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 445 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Databricks paid sponsored hires in similar roles5 certified filings for “Sr.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 445 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Databricks paid sponsored hires in similar roles
5 certified filings for “Sr. Technical Program Manager” (Computer and Information Systems Managers) in WA: $154k–$242k, median $198k. Most were filed at wage level I (40%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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 limit

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