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Databricks

Builds cloud software for data analysis and AI

Director of Engineering: Commercialization & Marketplace

Engineering LeadershipPosted on Nov 5
Full-timeBellevue, WA, USAIn-person

About the Job

Requirements

  • At least 12 years of software engineering experience, including at least 6 years leading engineering organizations and managing managers, ideally in billing, payments, commerce, fintech, or systems where errors directly cost revenue or create regulatory exposure.
  • A track record of delivering large, revenue-critical, cross-functional programs, such as replacing a billing or rating system, migrating a source of truth, or automating order-to-cash, on time and with high quality.
  • Technical depth in distributed systems and large-scale data pipelines, including the ability to discuss correctness, idempotency, reconciliation, and data lineage with technical leads and judge when to coach or decide.
  • Fluency in order-to-cash and finance concepts, including pricing and discounting, contracts, revenue recognition, invoicing, month-end close, and SOX controls, and experience earning trust as a partner to Finance and Accounting leaders.
  • Strong product judgment to identify gaps in the commercial platform, shape requirements with Product, and make build-versus-buy decisions that pay off over time.
  • Ability to communicate strategy clearly and confidently to executives and influence peers in Product, Finance, IT, and GTM without direct authority.
  • Experience scaling an organization quickly while maintaining a high hiring bar, developing strong leaders and engineers, and keeping them engaged on internal platform work.
  • A BS in Computer Science or a related field is required.

Responsibilities

  • Set and communicate the multi-year product and technology strategy for the commerce engine, moving toward a zero-touch order-to-cash flow and next-generation billing architecture, and present it to executives and Finance and Product leaders.
  • Own outcomes for revenue-critical programs spanning Finance, Product, IT, Accounts, and GTM by establishing dependency plans, owners, timelines, quality bars, and escalation triggers, and raising cross-organization risks early in leadership forums.
  • Build reusable commercialization platform components, including credits, commits, conditional benefits, marketplace, and partner billing, so new pricing models and routes to market can launch quickly.
  • Maintain reliability, correctness, SOX and compliance readiness, security, cost visibility, and operational load alongside product launches; prevent billing errors, ensure operational work grows more slowly than revenue, and ensure postmortems lead to change.
  • Partner with Business and Finance to translate accounting, close, and compliance requirements into engineering design, improve the Month End Close timeline and audit readiness, and build trust with Technical Accounting, Revenue Ops, and Strategy & Execution leaders.
  • Build the leadership bench by developing engineering managers and tech-lead managers, establishing subteams, domain boundaries, and owners, coaching managers, providing specific feedback and career plans, and recognizing high-performing teams.
  • Act as hiring owner for the Money Bellevue site, source and close senior engineering and management talent, place hires across Money teams in the company’s best interest, and help raise the engineering hiring bar.
  • Own the engineering organization responsible for the commercial engine, including pricing configuration, orders and contracts, subscriptions, rating, billing, and marketplace.

Desired Qualifications

  • An MS is preferred.
  • Experience in billing, payments, commerce, fintech, or other systems where errors directly cost revenue or create regulatory exposure is ideal.
  • Experience with Kafka, Apache Spark, Delta Lake, or cloud platforms such as AWS, Azure, or GCP is a plus.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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