Executive Compensation Consultant

What You'll Do:

• 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. Sterlington is an AI-first firm and expects fluency, not familiarity

What We're Looking For:

• 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