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Lead Forensics in Scottsdale is seeking a Customer Success Manager to build lasting client relationships, maximize platform value, and drive retention and expansion.
This hybrid role requires three days in the Scottsdale office; base salary up to $65,000 plus commission with typical first-year earnings of $80k-$85k, and a structured progression with $5,000 raises every six months. You will collaborate with cross-functional teams to hit KPIs and revenue targets.
Location: Scottsdale, Arizona
Work Arrangement: Hybrid - 3 days per week in the Scottsdale office; remote work is not offered
Base Salary: Up to $65,000 + Commission
Typical First-Year Earnings: $80,000-$85,000
MOGEL is partnering with Lead Forensics, a dynamic and innovative B2B SaaS company, to hire a Customer Success Manager to join its growing Scottsdale team.
Lead Forensics provides technology that identifies businesses visiting a client's website, helping organizations turn anonymous website traffic into actionable sales opportunities. In this role, you will be responsible for building strong client relationships, helping customers maximize the value of the platform, driving retention and expansion, and contributing to overall revenue growth.
This is a client-facing role ideal for someone who combines relationship management, commercial awareness, and a customer-first mindset. You will work closely with clients and internal teams to understand customer goals, address challenges, identify opportunities for expansion, and ensure customers achieve meaningful outcomes.
The company also offers a structured career progression path, with the opportunity to progress every six months based on performance. Each progression can include a $5,000 salary increase.
Typical total earnings, including base salary and commission, can exceed:
This is a hybrid position based in Scottsdale, Arizona, with employees required to work from the office three days per week. Remote work is not offered for this position.
Lead Forensics is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.
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