Connecting Odds
Fractal Analytics

Customer Success Manager

Fractal Analytics
Posted Discovered via the company's careers siteMatch locked
On-sitefull time5+ years exp

About the role

We're supporting a client with the recruitment requirement outlined below. If your recruiting expertise and networks align with the role, please apply to express your interest. Once approved to work on the opportunity, you'll receive the full brief, including the client name, role details, and commercial terms.

Role Details

Company: US-based B2B SaaS company Industry: AI / Fintech / Conversational AI Location: San Francisco, California Employment Type: Full-time Work Arrangement: On-site, 5 days per week Base Salary: $148,000-$192,000 On-Target Earnings (OTE): $185,000-$240,000 Equity: Competitive equity Experience: 5-10 years Visa Sponsorship: Open to eligible visa transfers, including OPT and H-1B transfers Hiring Count: 2-4 candidates

About the Company

An AI technology company developing voice and chat automation solutions for credit unions and community banks. Its platform integrates directly with banking systems, enabling customers to complete transactions, access services, and receive personalized product recommendations through conversational AI. The company has raised $30M in Series A funding and is cash-flow positive, with a strong focus on transforming customer service in financial services.

About the Role

The company is hiring Customer Success Managers to manage strategic enterprise accounts, drive product adoption, improve retention, and identify expansion opportunities. Each CSM will manage approximately 20 accounts representing around $5M in annual recurring revenue. The role combines strategic account management, technical product expertise, executive relationship management, and commercial ownership.

Responsibilities

  • Own strategic customer relationships, serving as the primary contact for VP- and C-level stakeholders.
  • Drive account health, product adoption, customer retention, and renewals.
  • Lead quarterly and executive business reviews, presenting data-driven insights and recommendations.
  • Identify expansion opportunities and collaborate with Sales to grow existing accounts.
  • Translate product performance metrics into clear business value for customers.
  • Develop a strong understanding of AI products and explain technical capabilities to customers.
  • Identify customer challenges and share feedback with Product and Engineering teams.
  • Maintain accurate CRM records, account health tracking, risk assessments, and renewal forecasts.

Requirements

  • 5-10 years of Customer Success experience in B2B SaaS.
  • Experience managing enterprise or larger mid-market accounts and building relationships with senior executives.
  • At least one year at a VC-backed, high-growth startup, ideally Series A-D.
  • Experience building or improving processes in an evolving environment.
  • Strong understanding of technical products and their business value.
  • Experience using AI productivity tools such as ChatGPT or Claude.
  • Bachelor's degree.
  • Ability to work on-site in San Francisco five days per week.
  • Willingness to travel to customer sites approximately 1-2 days per month.

Why Join?

  • Manage high-value strategic accounts with approximately $5M in combined ARR.
  • Work directly with senior leadership and influence the development of the Customer Success function.
  • Help shape processes and playbooks in a growing AI company rather than inherit a rigid structure.
  • Build deep relationships with executives at financial institutions.
  • Work with AI technology that supports real banking transactions and customer service.
  • Earn $185,000-$240,000 in OTE, with competitive equity.

Interview Process

  • Candidate Submission
  • Hiring Manager Interview
  • Leadership Interview
  • Case Study Presentation

Skills

artificial-intelligenceexpress

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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