Customer Success Manager

Compa•Irvine, CA

21h•Onsite

About The Position

Compa is a venture-backed AI startup focused on revolutionizing compensation with its real-time compensation data platform and AI Agents products. The company provides top-tier compensation intelligence to leading enterprise teams, including NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, and Target. Compa's headquarters are in Irvine, California, with additional sites in Denver, Colorado, and San Francisco, California. The team is collaborative, curious, and driven, valuing transparency, ownership, and continuous learning, while prioritizing in-person work where possible. The Customer Success Manager role involves partnering with Compa's largest enterprise customers to increase adoption, usage, and long-term value from its AI Agents products. This includes acting as a trusted advisor, building deep, strategic relationships, developing customer playbooks, and designing tailored success strategies. The manager will proactively own the success of the newest AI Agents product, working directly with top enterprise customers to drive product use at scale. Success in this role is measured by increased product adoption, expanded use cases, and ensuring customers can clearly realize and articulate the value of the AI Agents products.

Requirements

3+ years in Customer Success Management, Account Management, Onboarding or Solutions Consulting
Familiarity with AI products, including agents and LLMs, and how they are applied in real-world use cases.
Experience designing customer programs, playbooks, or onboarding processes from the ground up.
Comfort working directly with customers and prospects in both technical and advisory capacities.
Strong communication skills and comfort advising customers on complex and technical topics.
Ability to work independently, and proactively drive outcomes with limited oversight.
Meticulous attention to detail, organization, and analytical skills; proficient with tools like Excel or Google Sheets.
Strong drive to learn and grow by working hard, seeking feedback, and collaborating effectively with teammates.
Must have strong curiosity, be empathetic, and show diplomacy.

Nice To Haves

Previous work in Compensation, Total Rewards, Human Resource analytics, or People Systems in a B2B SaaS environment.
Sound understanding of all elements of compensation (base, incentives, equity), HR systems and how they interact.
Experience translating customer feedback into product influence or roadmap input.
Demonstrated ability to work directly with C-suite and senior executive stakeholders.

Responsibilities

Lead fast, structured onboarding to get customers live quickly and confidently using AI Agents.
Drive early expansion by ensuring customers activate additional agents, use cases, and workflows within the first phases of adoption.
Own ongoing adoption metrics by proactively identifying underutilized queries, features, and workflows, and leading targeted enablement, success plans, and optimization initiatives that increase day-to-day usage, stickiness, and measurable customer outcomes from Compa’s AI Agents.
Create and evolve customer playbooks that map agent capabilities to high-impact business use cases.
Share relevant peer examples and emerging best practices to continuously inspire new ways customers can extract value from Compa’s AI Agents products.
Develop a strong understanding of each customer’s business, goals, and challenges through curiosity, empathy, and active listening.
Act as a strategic advisor, aligning Compa’s data and agents to the areas where they can deliver the greatest business impact.
Build strong cross-functional relationships across Sales, Product, and Engineering, acting as a diplomatic connector who elevates collaboration and helps level up the Compa team through shared customer insight and best practices.
Gather, clarify, and prioritize customer feedback by translating business needs into actionable product insights.
Partner closely with internal teams to advocate for customer-driven improvements and help shape the future of the Compa’s AI Agent products.