Forward Deploy Compensation Advisor

Compa • Irvine, CA

9d

About The Position

Compa is a venture-backed SaaS startup revolutionizing the future of compensation.
In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.
Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.
Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more.
Locations:
Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible.
The Role:
Compa’s Forward Deploy Compensation Advisors are senior compensation practitioners who embed deeply with a portfolio of customers to drive high-stakes compensation decisions, accelerate product adoption, and ensure measurable business impact from Compa’s data and AI-powered, agentic solutions. This is not a traditional consulting, support, or sales role; Advisors operate as trusted extensions of customer compensation teams, owning outcomes and shaping how compensation work actually gets done.
You’ll sit at the intersection of compensation expertise, customer strategy, and product adoption, serving as both a strategic advisor to customers and a critical feedback loop into Compa’s product strategy.

Requirements

• 5+ years of experience in compensation consulting, compensation program management, or as a compensation partner or lead
• Strong command of compensation fundamentals, including job architecture, leveling, market benchmarking, and pay philosophies
• Demonstrated ability to apply compensation frameworks pragmatically across varied customer scenarios
• Strong analytical skills, with the ability to interpret market and internal data and evaluate tradeoffs
• Proven solution-oriented mindset, turning ambiguous compensation challenges into structured, actionable outcomes
• Clear and credible communicator with experience engaging stakeholders from compensation teams through executive leadership
• High tolerance for ambiguity and comfort operating in evolving, high-stakes environments
• Strong ownership mindset with a track record of driving under-defined problems through to measurable results

Nice To Haves

• Experience working directly with enterprise or high-growth technology companies
• Familiarity with AI-enabled tools or strong curiosity about applying emerging technologies to modernize compensation workflows
• Experience influencing product strategy, roadmaps, or UX through customer-driven insights
• Background managing a portfolio of customers while balancing depth, scalability, and repeatability
• Experience guiding change management or workflow transformation within compensation or People teams

Responsibilities

• Act as a trusted compensation advisor to Heads of Compensation and senior People leaders on complex initiatives (e.g., job architecture redesigns, market pricing shifts, pay philosophy and equity strategy decisions)
• Guide customers in embedding Compa’s market data and AI agents into live compensation workflows, cycles, and strategic projects
• Drive adoption, trust, and confidence in Compa’s data, methodologies, and AI-driven logic
• Identify where Compa’s data and agents can materially change decision-making
• Own outcomes across a portfolio of customers, including adoption milestones, workflow transformation, and decision velocity
• Surface customer patterns, friction points, and unmet needs, translating real-world use cases into actionable product feedback
• Partner closely with product teams to ensure Compa’s solutions reflect how compensation decisions are made in practice

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed