Jobs / United States / Databricks
Sr. Manager – Data & AI Support Engineering
Databricks · 🇺🇸 Plano, Texas
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. USCIS also records 78 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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. 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 roles4 certified filings for “Sr. Manager, Field Engineering” (Computer and Information Systems Managers) in TX: $209k–$218k, median $209k. Most were filed at wage level IV (75%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — Databricks
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. USCIS also records 78 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Databricks →
About the role
P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. • Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. • Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. • Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. • Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. • Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. Outcomes • Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. • Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. • Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. • Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based out of the Dallas location. • Own and improve operational KPIs including customer satisfaction, escalation management, backlog health, resolution efficiency, and support quality. • Act as a senior escalation point for customers and internal teams while driving operational excellence and process optimization. • Lead hiring, onboarding, mentoring, technical assessments, training, and career development for support engineers and technical leads. • Conduct regular one-on-ones, annual review, and career development discussions with direct reports. • Be a hands-on technical leader supporting complex issues related to Spark Core, Spark SQL, Structured Streaming, Delta Lake, Lakehouse architecture, and Databricks Runtime technologies. • Guide customers on Spark runtime optimization, distributed systems performance, and best practices for scalable Data & AI workloads. • Own Engineering JIRA escalations and proactively drive faster resolutions for customer-reported product issues. • Maintain internal operational documentation, runbooks, and customer-facing knowledge base assets. • Coordinate closely with Engineering and Backline Support engineering, customer experience intelligence teams to identify, reproduce, and report product defects effectively. • Act as a strong customer advocate and collaborate with cloud partners to support mutual customer success. • Participate in major incident management, escalation handling, on-call rotations, and critical production support activities. What we are looking for: • 10+ years of experience designing, building, troubleshooting, and supporting large-scale Data & AI applications using Python, Java, Scala, Spark, or related distributed technologies. • Strong work experience of AI-enabled support workflows,