Senior Manager, Application Support (East Coast, USA)

About the role

Syndio is transforming how companies understand and act on workplace equity — and as we launch new daily-use products into the market, the way we support customers needs to transform too. We're looking for a Senior Manager to define and own the vision for what customer support looks like in an agentic future: a lean, AI-native function that scales with product growth, stays close to customers, and serves as a high-signal feedback loop between users and engineering.

This is a rolling the sleeves builder role. You'll inherit a technically sharp, high-trust team and a clear mandate: architect a support function where intelligent AI agents handle the majority of interactions autonomously, human effort is reserved for what requires genuine judgment, and the gap between incoming ticket volume and resolved ticket volume is continuously closing — without proportional headcount growth.

You'll need to be as comfortable designing a multi-agent orchestration system as you are coaching a team member through a difficult customer conversation. The right person for this role sees agentic AI not as a tool to bolt onto existing processes, but as the foundation to build from.

What you'll own

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.

What we're looking for

A vision for the agentic future of support. You have a clear, informed point of view on where AI-native support is heading — and the experience to back it up. You've thought deeply about multi-agent systems, orchestration, customer-facing agents, and where the human layer belongs in all of it.

Technical fluency. You don't need to be an engineer, but you need to be credible in technical conversations. You're comfortable reading logs, understanding how a web application works end to end, and forming a clear hypothesis about what's broken and why. Experience with observability tooling, agent orchestration platforms, or workflow systems is a strong plus.

AI and automation depth. You've built or operated AI-assisted support workflows with real production usage. You think natively about leverage points — where agents compound, where they break down, and how to design for both.

Analytical capability. You're fluent in support metrics and know how to build the instrumentation to track what matters. You can look at inflow vs. resolution trends and translate them into business recommendations with confidence.

Customer empathy and communication. You understand that every ticket represents a real person with a real problem. You set the standard for how your team and your agents communicate with customers — clearly, honestly, and with genuine care for their experience.

Operational rigor. You know how to design a workflow, measure what matters, and iterate. You've built support processes that scale — not just documented the ones that exist.

People leadership. You've managed high-performing teams and know how to develop ICs who are already excellent. You give feedback directly and create an environment where people grow.

Experience

• 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

What success looks like in year one

By the end of your first year, you've articulated and begun executing a clear multi-year vision for AI-native support. Customer-facing agents are handling the majority of L1 tickets autonomously. Agent-assisted workflows have materially shortened bug resolution cycles. You're tracking inflow and resolution rates with enough precision to make confident capacity recommendations. And the team is operating as a strategic function — not a help desk — with ticket volume growing and manual effort not growing with it.

• 💰 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
• 📍 Remote-First within the following approve states: CT, DC, FL, GA, MD, MA, NJ, NY, OH, PA, RI, SC, VT, and VA #LI-Remote 

Interview overview

Below you'll find an outline of the interview plan for our Senior Manager, Applications Support position. Please note that while this is what we expect the process to look like, we may ask you for supplemental information or require an additional step before making a final decision.

1. Recruiter Screen - 25min
2. Hiring Manager - 30min
3. Loop - Three 30-45 min video calls with departmental peers and cross-functional team members - 2hrs max
4. Final Interview - Engineering Leader - 30min

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