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Everlaw · 4 months ago

Senior Manager, Total Rewards

Oakland, California, United States

Full-time

Hybrid

Senior Level, Lead/Staff

$179K/yr - $210K/yr

8+ years exp

Everlaw is a rapidly growing company that provides cutting-edge technology for law firms, government agencies, and corporations to manage large volumes of evidence in legal cases. They are seeking a Senior Manager, Total Rewards to develop and implement global compensation, benefits, and well-being programs to attract and retain talent. The role involves strategic planning, program management, and collaboration with various teams to ensure competitive and equitable reward systems.

Cloud ComputingDocument ManagementLegalLegal Tech

Comp. & Benefits

No H1B

Responsibilities

Steward our strategy, and ensure that our rewards are clear, competitive, and compelling: In partnership with our Head of People and her People Leadership Team, you’ll take stock of our total rewards strategy annually, ensuring that our cash, equity, and benefits enable us to attract, develop, and retain a talented team that thrives in a culture of pace and performance

Program manage our bi-annual compensation cycles: You’ll translate strategy to execution, leading the end-to-end rollouts of our cash and equity compensation review cycles efficiently and effectively. You’ll partner with our Finance Team on modeling, recommendations, and budget sign off; collaborate with our People Programs team to develop helpful, high quality education; and sweat the details in Pave to ensure every Everlawyer gets the adjustment they earned

Provide timely thought partnership: As new roles emerge, you’ll partner closely with hiring managers to understand the core skills required, and craft new job bands to recognize and reward these meaningfully

Uplevel our compensation tech stack: Throughout the year, you’ll take a holistic look at our Total Rewards tech stack and - in partnership with People Systems - continuously identify potential areas for improvement to support data-driven decision-making. If/Where it makes sense, you’ll find targeted ways to use AI to complement earned experience and pattern recognition too

Qualification

Compensation strategyData-driven decision-makingAdvanced modeling skillsTotal Rewards programsHigh growth company experienceCompensation tech stackConsultative collaborationHands-on operationSQLPythonBusiness intelligence toolsSkilled storytelling

Required

At least 8 years of combined professional experience in 2 or more of the following areas - cash compensation, bonus/incentive program design, equity compensation, and benefits

Experience in 1 or more high growth companies, with pattern recognition and earned experience across 2 or more stages of growth - e.g. growth stage, late stage, pre-IPO, post-IPO

Exceptional modeling skills, including advanced proficiency in googlesheets (e.g. pivot tables, complex formulas, vlookup)

Data-driven leader who recognizes the value of tried and true sources and timely signals, grounding recommendations in data from Pave, Radford, and Sequoia, live postings, and feedback from candidates, recruiters and managers alike

Consultative collaborator who builds trust easily, and is a sought-after thought partner in any compensation conversation

Skilled storyteller who communicates for impact and knows when to synthesize and simplify in service of the audience

Outstanding hands-on operator who rolls up sleeves to get things done, efficiently, effectively, and excellently