Customer Service Manager JD for Mid-Market Teams

The customer service manager — sometimes "support manager," "customer experience manager," or "CX manager" depending on house style — is the operating role that decides whether your support function scales linearly with headcount or sub-linearly with leverage. The JD has to filter for that distinction.

Most JDs we see for this role describe a senior agent with three direct reports — long lists of ticket-handling responsibilities and short lists of operating expectations. The template below corrects that. It's the spine we use for service-leadership searches at TheHireHub: an operating role, with the metrics, hiring scope, and tooling responsibility to match.

What this JD filters for

• Operators who think about leverage: macros, automation, workflow design, knowledge base, AI deflection.
• Managers who see hiring and coaching as core craft — not as time stolen from their "real" work.
• People who can run a service operation against measurable SLAs without burning the team out.

The template

Role summary

We're hiring a Customer Service Manager to lead our 10-person service team supporting mid-market customers. You'll own the service operation's SLA performance, team health, hiring and ramp, tooling and automation roadmap, and partnership with product and engineering on the recurring problems that drive ticket volume. You'll report to the Director of Customer Experience.

What you will own

• Service operation SLAs: response time, resolution time, CSAT, first-contact resolution. Set the targets, defend them, hit them.
• The team: hiring, onboarding, scheduling, coaching, performance management, and team health.
• The tooling and automation roadmap: macros, knowledge base, AI deflection, internal-tool requests, and integrations with the rest of the stack.
• Volume management: forecasting ticket volume, staffing for it, and pushing back when product launches drive avoidable spikes.
• The voice-of-customer feedback loop: a system for surfacing recurring problems to product and engineering — with proof, not anecdotes.
• Partnerships: with product on bug surfacing, with engineering on tooling capacity, with sales on customer escalations, with finance on capacity planning.

Must-haves

• Three or more years managing a customer service or support team in B2B SaaS or fintech.
• Demonstrated ownership of an SLA or experience metric (CSAT, first-contact resolution, response time). Name the metric, the starting point, the result.
• Hands-on experience with at least one helpdesk platform (Zendesk, Intercom, Help Scout, Freshdesk) — beyond using it as a frontline agent.
• A track record of building leverage: macros, workflow automation, knowledge base, deflection — not just throwing headcount at volume.
• Comfort having direct conversations with customers — including escalations and bad-news calls.
• Crisp written communication for both internal stakeholders and customer-facing copy (macros, KB articles, status updates).

Nice-to-haves

• Experience designing and operating an AI-deflection layer (chatbot, search-based deflection, copilot for agents).
• Experience scaling a 24/7 service operation across geographies.
• Background in operations, process engineering, or QA before customer service.
• Experience with Zendesk + Linear + Slack as an integrated stack.

Compensation guidance

Mid-market 2026 customer service manager bands typically run: US $90–130k base + 5–15% bonus + small equity. UK £55–80k. India ₹18–32 lakh fixed CTC. Senior CX managers (managing other managers, or 30+ agents) sit a tier above this — adjust the JD to match.

Success metrics — first 12 months

• SLA performance at or above target on the metrics agreed at the start of the role — with the underlying mechanics defensible, not luck.
• A measurable improvement in deflection or self-service share (percent of issues resolved without human contact).
• Voluntary attrition under 10% annualized; team eNPS at or above company average.
• At least two documented product or engineering changes shipped because of voice-of-customer signal that the manager surfaced and championed.
• Hired at least two agents the team would re-hire.

Interview rubric

• Operating reasoning (35%): walk a previous service operation — SLA targets, team structure, tooling, what they changed, what worked, what failed.
• Coaching (20%): a structured scenario on coaching an underperforming agent — including what the manager would not do.
• Tooling and automation judgment (20%): a roadmap exercise on improving a 3-person service team's leverage with a fixed budget and timeline.
• Customer voice (15%): how do they handle a real escalation? Roleplay or structured behavioral.
• Stakeholder partnership (10%): how do they push product to fix the recurring bugs that drive volume — including the messy political version of the question?

Customize this template

• High-touch enterprise support: double the weight on customer-voice and add a "white-glove escalation" scenario.
• High-volume B2C support: double the weight on operating reasoning and tooling/automation judgment.
• Pre-Series-A: this hire often blurs into operations or chief-of-staff territory. Be explicit in the JD about what is and isn't in scope.
• AI-first service: bake AI tooling judgment into the rubric. The 2026 service manager spends real time on the AI/automation layer.