Databricks Inc

Databricks Inc

Sr. Product Manager, Lakebase/Lakehouse

Seattle, Washington · Senior

Sponsorship not specified$157k-$215kDetected 8 days ago
SQLDatabricksProduct ManagementProduct StrategyUnityResearchLeadershipCommunication

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 106 green-card filings in this occupation, 99% were for a worker who already held the job.

Green-card follow-through: 55%

Of 56 labor certifications old enough to have been used, 25 expired without the employer filing the next step. Median time from filing to decision: 482 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

163 transfer filings in the last year, covering 1450 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • These roles come with ever expanding scope with critical responsibilities.
  • You will get to choose if you can want to continue down the IC ladder or transfer to management ladder.

Responsibilities

  • Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
  • Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
  • Drive competitive differentiation and positioning in the cloud data warehouse market.
  • Collaborate with leadership to align product initiatives with business goals.

Skills

  • Read this seminal blog from Databricks co-founders on What is a Lakehouse and A New Era of Databases: Lakebase.

Compensation

  • Databricks is committed to fair and equitable compensation practices.
  • The pay range(s) for this role is listed below and represents the expected 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 limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
  • The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
  • Zone 1 Pay Range
  • $156,600 - $215,250 USD

Benefits

  • At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
  • For specific details on the benefits offered in your region click here.
  • Own and define the product vision, strategy, and roadmap for Databricks SQL

Company info

  • Product Manager, Lakebase/Lakehouse Seattle, Washington RDQ427R586 At Databricks, we are delivering Data & AI for enterprises & startups around the world.
  • Our Lakehouse and Lakebase products are at the forefront of enabling customers to get more value from their data.
  • Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
  • At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Equal opportunity

  • Our Commitment to Diversity and Inclusion

This listing is sourced directly from Databricks Inc's careers page and normalized into a canonical job model.