Enterprise Customer Success Manager

Sedric.ai•New York, NY

7h•Hybrid

About The Position

Sedric is an AI-powered compliance excellence platform designed for regulated industries. We help financial organizations streamline risk monitoring and ensure compliance with ever-evolving regulations. Our customers rely on Sedric to maintain high compliance standards while enabling growth. As we expand our US footprint and onboard large enterprise customers, we're looking for passionate, experienced professionals to join our team. We're seeking an Enterprise Customer Success Manager to lead relationships with our largest and most strategic customers — primarily Fintechs, banks, and credit companies / ARM firms. You'll be the trusted advisor ensuring customers achieve maximum value from Sedric's platform, with a strong focus on retention, expansion, and long-term partnerships. This is a high-impact, customer-facing role that requires a combination of business acumen, relationship-building, and technical curiosity. Beyond managing your own book of business, this role is designed to be a force multiplier. Your work isn't just about making your current customers successful — it's about building repeatable playbooks, best practices, and institutional knowledge that elevate the next customer, the next implementation, and the next generation of CSMs who join the team. The ideal candidate thinks beyond their portfolio and actively contributes to building a scalable, world-class CS organization. You will report directly to the Head of Customer Success for the US market.

Requirements

5+ years of Customer Success or Account Management experience with Enterprise customers, ideally in SaaS, Fintech, or Regtech.
Experience working with banks, Fintechs, credit companies, ARM firms, or other regulated financial institutions is highly preferred.
Understanding of compliance, risk, or operational challenges in the financial services industry.
Excellent relationship management and communication skills, both written and verbal.
Comfortable engaging with senior stakeholders (VP, C-level) in complex organizations.
Proven ability to identify customer pain points, propose solutions, and collaborate cross-functionally to drive results.
Tech-savvy, with the ability to learn and explain technical concepts in a simple, value-oriented way.
Self-starter who thrives in fast-paced, dynamic environments.
Comfortable with ambiguity, taking initiative, and wearing multiple hats in a startup environment.
Based in New York (hybrid role with occasional travel to customer sites).

Nice To Haves

Experience with compliance tools, AI-powered platforms, or risk monitoring systems
Familiarity with CRM tools (e.g., HubSpot, Salesforce) and Customer Success platforms
Background in Consulting or Enterprise Project Management

Responsibilities

Own the post-sale relationship for large enterprise customers in the financial sector — primarily US-based Fintechs, banks, and credit companies / ARM firms.
Lead onboarding and implementation in collaboration with Solutions Engineers and Technical Account Managers as your primary technical counterparts.
Develop strategic success plans tailored to enterprise customer goals, compliance requirements, and KPIs.
Drive product adoption, ensure value realization, and identify opportunities for upsell and expansion.
Serve as the voice of the customer, providing product feedback to internal teams and ensuring customers' evolving needs are addressed.
Partner closely with colleagues in Technical Account Management, Sales, Product, Compliance, and Support to deliver a cohesive and excellent customer experience.
Conduct regular business reviews (QBRs) and performance check-ins to reinforce value and identify growth opportunities.
Monitor renewals and retention metrics; proactively address risks and advocate for customer needs.
Stay up to date with industry regulations and trends relevant to your portfolio of financial customers.
Contribute to team-wide knowledge by documenting playbooks, escalation frameworks, and onboarding templates that help scale the CS function and set future CSMs up for success.