Enterprise Customer Success Manager

Responsibilities

• Develop trusted advisor relationships with customers (from c-suite stakeholders to individual contributors) across a focused portfolio of high-value enterprise accounts.
• Facilitate requirements gathering and process mapping for the customer’s standard operating procedures; document in clear, precise, and actionable terms.
• Act as a transformation architect influencing customer strategy at the highest levels and defining automation and AI maturity roadmaps that drive structural cost reduction, CX innovation, or both.
• Collaborate with engineers to translate customer requirements into Fin solution designs, guiding the customer on configuration best practices and prompt strategy.
• Monitor Fin usage patterns to identify risks, recommend optimizations, and uncover expansion opportunities.
• Maintain deep product knowledge of Fin’s fast-expanding capabilities; remain market aware of the fast evolving AI-agent industry.
• Lead Success Plans, QBRs/EBRs, and strategic planning sessions with executive stakeholders; hold yourself and your customers accountable to clearly defined milestones and measurable outcomes.
• Quantify and communicate customer value through ROI metrics, outcome narratives, and executive briefings — building compelling business cases for continued and expanded investment.
• Partner with Sales and Renewals to protect GRR, drive growth and progress further exposure of Fin to our customers' challenges.
• Prioritize competing demands to drive the highest-value outcomes across your customer portfolio.
• Be the Voice of the Customer internally, advocating for customers’ needs and shaping our solutions strategy.

Requirements

• 10+ years of customer-facing experience in management consulting, strategy, advisory, or enterprise SaaS CSM roles.
• Experience with business process mapping, requirements analysis, and solution design at enterprise scale.
• Strong technical acumen and genuine passion for AI — comfortable engaging with technical concepts and holding meaningful conversations with engineering and product teams (coding not required).
• Ability to evaluate AI performance data — automation rate, resolution rate, CSAT deflection — and translate metrics into compelling business outcomes.
• Strong commercial instincts: understands enterprise procurement cycles and how to frame value for CFO and CX executive audiences.
• Ability to simplify and communicate complex problems clearly across audiences — from technical teams to boards.
• Experience leading large-scale enterprise transformation programmes involving AI, automation, or modern customer service platforms.
• Ability to apply a deep understanding of product roadmap to enhance customers’ automation strategies and deliver measurable outcomes.
• Proven ability to manage multi-threaded Success Plans across complex enterprise accounts, aligning multiple stakeholders and workstreams to drive coordinated outcomes.
• Self-motivated, adaptable, and intellectually curious — a leader among peers with a high level of self-efficacy.

Benefits

• Competitive salary and meaningful equity
• Comprehensive medical, dental, and vision coverage
• Regular compensation reviews
• Unlimited access to Claude Code and best-in-class AI tools
• Flexible paid time off policy
• Paid Parental Leave Program
• 401k plan & match
• In-office bicycle storage
• Fun events for employees, friends, and family