Senior Compensation Manager, GTM

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $174.2k - $299.6k / year

⏰ Full Time

🟠 Senior

🎁 Product Marketing

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Partner with GTM leaders to diagnose talent challenges including competitive attrition, hard-to-fill roles, rapid scaling, and reorganizations • Design attraction and retention compensation solutions • Translate vague or urgent requests into clear options with explicit tradeoffs and help leaders reach decisions • Advise on strategic executive hires and high-stakes retention situations • Run merit, refresh equity, and promotion cycles end to end for global GTM teams • Design and build AI tools and workflows for offer modeling, retention-risk analysis, cycle quality checks, and self-serve leader insights • Identify repetitive or error-prone processes and automate them • Help scale Databricks' global compensation structure, including market pricing models, pay-for-performance design, and equity strategy • Build compensation frameworks that address current and anticipated growth challenges • Report to the Director of Compensation

🎯 Requirements

• Expert-level analytical modeling, including cost-of-program scenarios, pay-positioning analysis, attrition and retention-risk modeling, and sensitivity and tradeoff analysis • Personal experience using AI tools such as LLMs, AI assistants, automation platforms, or agent platforms to build compensation tools, models, or workflows • Ability to explain AI tool functionality, identify improvements, and validate output accuracy • Understanding of RSU and option mechanics, vesting design, refresh strategy, and effects of grant values and share-price movement on cost and retention • Statistical judgment regarding market-data credibility, sample sizes, ranges, and market pricing • Knowledge of job architecture, compensation frameworks, market pricing, year-end and mid-year pay cycles, global compensation practices, and pay-for-performance design • Deep knowledge of competitor compensation, especially new-hire and refresh equity strategy at high-growth and public technology companies • Track record advising executives on sensitive, high-stakes compensation decisions involving offers, promotions, leveling, retention, transfers, and organizational changes • Ability to deliver compensation programs end to end, accurately and on time • Ability to turn complex analysis into clear executive recommendations • Experience with Tableau or other BI tools, or building dashboards for leaders • Experience supporting GTM or sales organizations at a high-growth technology company • Experience scaling compensation programs through hypergrowth, IPO, or major organizational change • Background in a quantitative field such as finance, statistics, or engineering, or equivalent experience

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks, with region-specific details provided by Databricks • Equal employment opportunity and inclusive hiring practices

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