Compensation Analyst San Francisco, CA

Front is the leading AI‑powered customer service platform built for collaboration. Front brings core support channels into a modern, intuitive workspace where teams can collaborate on requests, automate manual processes, and delight customers across their entire lifecycle. Front’s flexible workflows, AI features, and customer intelligence provide the efficiency and insights to keep entire organizations customer‑first, every day. More than 9,000 of the most innovative companies worldwide including Culture Amp, Hoot Suite, and Y Combinator use Front to deliver five‑star service at scale.

Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025
, Top Places to Work by USA Today 2025
, Y Combinator's list of Top Companies in 2023
, #4 on Fortune’s Best Workplaces in the Bay Area™,
Inc. Magazine's 2022 Best Workplaces list
, and Forbes Best Startup Employers 2022 List
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We’re hiring a People & Compensation Analyst to bring rigor, structure, and strong analytical thinking to how we design and run compensation and people analytics s is a high impact role with meaningful exposure to senior leadership and the Board.

You will own and improve our end to end compensation cycle, build scalable compensation frameworks, and elevate how we generate workforce insights. This is not a traditional compensation role. We are looking for someone deeply comfortable in spreadsheets, excited about modeling and automation, and motivated to use AI tools to improve how we analyze and scale people decisions.

If you enjoy combining data, strategy, and systems thinking to influence real business outcomes, this role is for you.

• Own and execute the end to end compensation cycle, including modeling increases, promotions, band updates, calibration support, and budget tracking
• Manage off cycle compensation adjustments, market reviews, and new hire band alignment
• Build, refine, and maintain scalable compensation bands and benchmarking frameworks
• Lead analytics for the semi‑annual engagement survey, including reporting and insight generation
• Consolidate and clean data across HRIS, ATS, and finance systems to generate deeper People insights
• Partner with the CPO on monthly executive reporting such as attrition, headcount trends, and workforce insights
• Develop board ready analysis and presentation materials for quarterly meetings
• Deliver quarterly reports to compensation benchmarking partners such as Radford
• Partner closely with Finance on headcount planning and compensation budget alignment
• Identify opportunities to reduce manual modeling work through improved spreadsheet architecture, automation, and AI enabled workflows
• Act as a thought partner in evolving Front’s compensation philosophy and practices

• 3 to 7+ years of experience in Compensation, Total Rewards, or People Analytics within a SaaS or high growth tech environment
• Direct experience owning or heavily supporting at least one full compensation cycle, including increases and promotions
• Strong understanding of benchmarking, salary band creation, and compensation modeling
• Advanced proficiency in Excel or Google Sheets including complex formulas, pivot tables, scenario modeling, and data cleaning
• Experience preparing executive level or board level reporting materials
• Comfort working with imperfect or fragmented data across multiple systems and building structure where it does not yet exist
• Strong analytical and problem solving skills with the ability to translate complex data into clear insights
• Experience collaborating cross functionally with Finance, Recruiting, and People leadership
• Bias for action and ability to operate effectively in a fast moving startup environment
• Interest in leveraging AI and automation tools to improve analytics workflows and efficiency

• Advanced spreadsheet modeling and data analysis
• Strong analytical and problem-solving ability

• Certified Compensation Professional (CCP)
• Workday or other HRIS system certifications
• Formal training in data analytics or…