Vision and strategy for agentic support. You'll define what the support function needs to look like as AI capabilities evolve — setting the architecture for how customer-facing agents, orchestration layers, and human escalation paths fit together. This isn't a roadmap you inherit; it's one you build and continuously refine as the technology and the product surface area change.
Customer-facing agent design and operations. You'll own the build-out of an AI-native support layer — designing the agents customers interact with, the knowledge bases that power them, the escalation logic that routes edge cases to humans, and the quality standards that govern all of it. You're not enabling a tool; you're designing a system.
Analytical rigor and business decision support. You'll own the metrics that matter: ticket inflow rates, autonomous resolution rates, escalation patterns, time-to-resolution, and the gap between incoming and resolved volume. You'll use this data to make and support business decisions — including when to deploy additional agent capacity, when to invest in knowledge base coverage, and where human support is still the right answer.
Team leadership and development. You'll manage, coach, and grow a team that operates at the intersection of technical investigation, customer empathy, and engineering partnership. You'll own performance development, create clarity on roles and expectations, and build a culture where people do their best work.
Agentic bug triage and resolution. You'll formalize how AI agents are used in the bug investigation and resolution workflow — defining which categories of issues are in scope for agent-assisted diagnosis, establishing human review gates, and working with engineering to make the workflow fast and safe.
Cross-functional partnership. Support sits at the center of the product feedback loop. You'll maintain strong working relationships with Engineering, Customer Success, and Product — ensuring that patterns in support data flow into sprint planning and that escalations move quickly when they need to.
Scaling for product growth. With multiple products launching in 2026, you'll own the readiness plan — ensuring agents, processes, and the team are prepared for a significant increase in ticket volume from daily-use products with larger, more diverse user bases.
Requirements
8+ years in technical support, engineering operations, or a related function
2+ years managing people
Demonstrated experience building or scaling support operations at a SaaS company
Hands-on experience designing or operating AI-assisted support workflows, customer-facing agents, or multi-agent orchestration systems
Hands-on experience with Zendesk or a comparable enterprise support platform at an operational or administrative level
Experience working closely with engineering teams and contributing to cross-functional processes like sprint planning or incident review
Benefits
Competitive Compensation. For this role our base salary is targeted at $158-185k USD.
Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.
Syndio Equity. So you can share in Syndio’s success.
Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave.
Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
Life Insurance & Disability. Syndio covers the full premium.
401(k). To help you save for your future
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