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You will serve as a trusted advisor to Sterlington's clients, typically founders, C-suite executives, compensation committees, boards, and private equity sponsors, helping them design, benchmark, and govern executive compensation programs that attract top talent and align pay with long-term value creation.
Job Responsibility
Advise on the design of executive compensation programs: base salary, annual and long-term incentives, equity plans, MIPs, and severance arrangements
Develop and articulate compensation philosophy frameworks that align pay structure with business objectives, shareholder interests, and governance standards
Model incentive plan scenarios: stress-testing pay-for-performance alignment, cost impacts, and dilution effects across a range of business outcomes
Conduct compensation risk assessments and advise on clawback policies, stock ownership guidelines, and anti-hedging provisions
Guide clients through compensation design in the context of IPOs, M&A, restructurings, and PE-backed management incentive plans
Advise on severance, change-in-control provisions, and executive succession planning in deal and transition contexts
Support post-merger integration on executive compensation harmonization and retention program design
Draft and review plan documents, term sheets, offer letters, and employment agreements related to executive compensation
Leverage AI tools to accelerate research, modeling, and deliverable production
Requirements
5+ years in executive compensation consulting, compensation committee advisory, investment banking (comp-focused), Big 4, or a specialist executive pay firm
JD, MBA, or CPA — or equivalent demonstrated expertise in tax/legal dimensions of executive pay
Experience with technology, life sciences, or high-growth private company clients
Deep knowledge of executive pay design across public and/or private/pre-IPO company contexts — including equity incentive structures, performance metrics, and governance frameworks
Strong financial modeling and analytical skills
advanced Excel
fluency with proxy data tools (Equilar, ISS Analytics, Radford, or equivalent)
Proven ability to manage multiple client engagements simultaneously in a remote-first environment
Demonstrated fluency with AI tools in professional work — Sterlington’s AI-first mandate is non-negotiable across all roles