Lead, coach, and develop a team of up to 10 Enterprise CSMs through regular 1:1s, team rituals, structured performance frameworks, and clear expectations
Set team OKRs in alignment with CX department strategy, translating high-level goals into actionable, measurable plans
Own performance management and career development for each direct report — helping your team grow technically, commercially, and professionally
Upskill your team on emerging technical capabilities, including vibe coding, custom solution building, and AI agent management so that CSMs can go deeper and deliver more value for merchants
Create a culture of genuine accountability and high standards — you're comfortable making difficult performance decisions and maintaining a high bar across the team, including when that means making hard calls on underperformers
Ensure your team is driving aggressive AI adoption and utilization metrics weekly — helping merchants configure, optimize, and get the most from Gorgias AI Agent
Own account health (NRR) across a portfolio of enterprise accounts ($30K–$200K+ ARR), ensuring your team is consistently driving measurable customer value
Guide your team in running high-impact executive business reviews (QBRs) that demonstrate ROI, AI utilization, and strategic alignment with each merchant's goals
Build a team that surfaces and resolves customer challenges before they require escalation — your goal is a high-functioning team that rarely needs to bring issues up, not one that relies on you as the regular safety net
Coach CSMs to engage senior merchant stakeholders with commercial depth and outcomes-focused conversations — every interaction should move the needle on value realization, not just maintain presence
Champion the integration and optimization of Gorgias AI Agent within each merchant's workflows — working with your team to identify automation opportunities, configure AI effectively, and measure deflection and efficiency outcomes
Help design the future of Customer Success at Gorgias: a model where AI agents handle execution at scale and humans focus on judgment, strategy, and relationship — and actively build the playbooks to make it real
Embed AI tooling deeply into your team's day-to-day workflows, making AI literacy and AI usage a core expectation and capability within the team
Drive enablement for your team on new AI product launches, ensuring CSMs can immediately articulate value and implement new features with merchants
Partner with Product to surface merchant feedback and real-world patterns that shape the roadmap
Own team-level forecasting — renewals, expansion pipeline, and churn risk — and deliver accurate, data-backed projections to CS leadership
Drive operational efficiency across the team: define and iterate on processes, playbooks, and tooling that let your CSMs spend their time where it matters most
Ensure comprehensive enablement on new product launches so the team can move immediately from announcement to customer impact
Partner cross-functionally with Sales, Implementation, and Product to ensure seamless handoffs and a cohesive enterprise customer experience
Build and maintain the reporting infrastructure your team needs to manage account health, identify risk, and track progress against customer goals
Run a weekly delivery cadence across your team's book of business — treating customer implementations like a sales pipeline, with weekly reviews, clear milestones, and rigorous next-step accountability at every stage
Set and track weekly targets for your team: automation adoption progress, active implementations moving forward, and value realization milestones — every week, not every quarter
Coach CSMs to lead structured, progress-driving customer touchpoints — every interaction should move the needle on an implementation, integration, or adoption goal, not just maintain the relationship
Bring a sales-minded discipline to delivery: hold weekly pipeline reviews with your team, create visibility into what’s stalled, and drive urgency around moving implementations across the finish line
Manage your team’s implementation pipeline with the same rigor a sales leader applies to deals — tracking velocity, identifying blockers, and pushing toward closure with consistency
Report weekly on delivery momentum: what shipped, what’s in flight, what’s at risk, and what the team is doing about it
Requirements
7+ years in SaaS CS, implementation, or technical account management; 3+ years managing teams in high-growth environments
Proven track record owning outcomes enterprise accounts ($30K–$200K+ ARR)
True enterprise operator: you've led CS in genuine enterprise environments — multi-stakeholder accounts, executive relationships, long procurement cycles — and can coach your team to show up at that level
AI-forward: you've used AI tools consistently in your own work and have a clear point of view on what the next-generation CSM looks like
Delivery-driven: you own outcomes, not relationships — you run playbooks, track automation targets, and project-manage each customer's journey with discipline
Commercially sharp: retention and expansion are your problem — you know your book's health, flag risk early, and tie every conversation back to ROI
Operator mindset: you think in systems, love building repeatable process, and turn ambiguity into clarity
Exceptional coach: you identify and unlock performance in others — your team members grow meaningfully under your leadership
Technical: comfortable with APIs, integrations, and automation; able to guide your team toward custom solutions and get hands-on with low-code tooling
Performance-oriented: you know where you stand, own your metrics, and hold your team to the same standard — GRR, net contraction, and AI interaction volume are your scoreboard, and you build teams that think the same way
High bar leader: comfortable making difficult performance decisions; you raise the floor of your team over time, not just the ceiling
Nice to have: Experience in ecommerce or with DTC brands; background in Solution Engineering or Technical Implementation; hands-on experience with AI agent configuration or prompt engineering; consulting or RevOps background.