Senior Engineering Manager for Self-Serve (Learning)
Databricks · Mountain View, California
- Level
- Lead
- Type
- full-time
- Mode
- On-site / hybrid
- Posted
- 2026-08-21
- Team
- Engineering
Role description
RDQ426R220 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Self-Serve team owns Databricks' product-led growth motion — the experience that takes someone from "I just heard about Databricks" to succeeding on the platform entirely on their own.…
Technologies named in the posting
How Rolefit scores this role
- Stack overlap (50%). Every technology named in the posting is compared with your selected stack, weighted by how rare it is across the whole index — a niche match counts for more than Docker.
- Seniority fit (16%). The level in the posting is compared with the level assessed from your years and depth.
- Title alignment (16%). Whether the role is actually pitched at your field rather than adjacent to it.
- Freshness and filters (18%). Newer postings, your work type and your target region all move the score.
The score you see on a shortlist is specific to you — the same posting scores differently for a different stack. Run the assessment once and this role either makes your top 30 or it does not.
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