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Agent Ops Job Description Template
Copy, adapt, and use. Fields marked [BRACKETS] are placeholders.
About the Role
[Company] is building [one-line description of business]. As our Agent Ops [Manager / Lead / hire], you'll own the agentic workflow layer that powers how we operate — building, running, and continuously improving AI-driven pipelines across our GTM, marketing, research, and operational functions.
This is a high-leverage, cross-functional role. You'll work closely with sales, marketing, and operations leadership to identify where AI agents can replace manual work, then actually build the workflows that make it happen. You're not handing this off to an engineer — you're building it yourself, using the no-code and low-code platforms that define this category today.
What You'll Own
Agentic workflow design and build. Identify the highest-leverage manual workflows across the business and build automated agent pipelines to replace them. This includes prospect research and enrichment in Clay, outbound sequence automation, competitive monitoring, content pipelines, operational reporting, and any other function where AI tooling can drive meaningful leverage.
Workflow operations and iteration. Own what you build. Monitor workflows for quality and reliability, iterate when inputs shift or outputs degrade, and maintain a live operating system rather than a graveyard of half-built automations.
Tool stack ownership. Own the company's Agent Ops tool stack — Clay, n8n, Make, Zapier AI, Lindy, Notion AI, and whatever else belongs there. Evaluate new tools as the ecosystem evolves. Make recommendations on what to adopt, what to retire, and what to build versus buy.
Cross-functional partnership. Sit at the intersection of sales, marketing, ops, and leadership. Understand how each function works well enough to automate it thoughtfully. Translate "we spend 15 hours a week on this" into a working automated workflow within weeks, not quarters.
Measurement and reporting. Define what "working" means for each workflow and track it. Surface the time savings, conversion improvements, or efficiency gains that result from the work. Make the value of the function visible and legible to leadership.
What We're Looking For
Experience in operations — BizOps, RevOps, Chief of Staff, growth, or a similar function — combined with genuine hands-on depth in AI tooling. You've built real workflows that real teams depended on, not just POCs that lived in a demo environment.
Fluency with the current no-code and low-code AI stack: Clay, n8n or Make, Zapier AI, Lindy, and the broader category of agent orchestration platforms. You have strong opinions about which tools are right for which jobs and why.
Operational thinking and business judgment. You understand the business functions you're automating — the logic of a good prospect research workflow, what makes a sales signal worth acting on, what a useful competitive brief actually contains. That judgment is as important as the technical skill.
A track record of shipping. Not exploring, not evaluating, not presenting roadmaps — actually building workflows and deploying them into production, then iterating on them until they work.
Comfort working cross-functionally and without a lot of structure. This function is still being defined. You'll be building the playbook as much as executing one.
Nice to Have
Experience in a high-growth startup where you were the de facto AI automation owner before it was a formal function. Background in RevOps or sales operations with deep CRM and data enrichment experience. Familiarity with API basics and light scripting, even if you're primarily a no-code builder.
Compensation
[Salary range: $XX,XXX – $XX,XXX] + equity + benefits.
See the salary guide below for 2026 market benchmarks by level.
Agent Ops Salary Guide (2026)
The Agent Ops talent market is price-discovering, but compensation follows operations and RevOps benchmarks — not software engineering benchmarks. This is an ops role, and it pays like one. These ranges represent what companies are actively paying in 2026 for professionals with genuine operational AI expertise.
Individual Contributor: Agent Ops Manager / Specialist
Base salary: $130,000 – $170,000
At the IC level, the range reflects meaningful variation in depth. At the lower end, you're looking at someone who has strong operations instincts and has started working with AI tooling — maybe built a few workflows, has clear aptitude, but is still developing their depth in the platforms. At the upper end, you're hiring someone who has owned real automation workflows in a previous role, has hands-on fluency across Clay, n8n or Make, and similar tools, and can come in and start building quickly.
Equity at this level is typically minimal at early-stage companies and varies considerably by company. For most IC hires, equity should not be the primary consideration in evaluating total comp — negotiate on base.
Senior Agent Ops Manager / Lead
Base salary: $160,000 – $210,000
Senior Agent Ops professionals have a real track record. They've built complex, multi-step workflows that business functions actually depended on. They have opinions about tool selection and can defend them. They've seen workflows break and know how to fix them. They can set direction for a function, not just execute within one.
At this level, candidates often come from RevOps, BizOps lead, or Chief of Staff backgrounds with two to four years of serious AI tooling experience layered on top. Some come from growth or marketing operations with deep Clay and enrichment expertise.
Equity varies by company stage and structure. At early-stage companies, equity is typically minimal for an operations hire at this level unless the company is specifically structured to include ops leadership in meaningful equity grants.
Head of Agent Ops
Base salary: $200,000+
At the Head of level, the role is organizational as much as operational. This person is building and managing a small team, setting the direction for the company's AI-powered operating layer, and sitting in the room when leadership makes decisions about how the business runs. They're translating company strategy into an automation roadmap and executing against it.
The strongest candidates at this level have led operations functions before — they understand how to build a team, how to prioritize across competing stakeholder needs, and how to make the value of their work legible to a board or executive team. The AI tooling fluency is table stakes at this point; the organizational leadership is what separates a senior IC from a genuine head-of.
Equity at the Head of level varies significantly. At seed-stage companies, the role may carry a meaningful equity component if the function is considered part of core leadership. At growth-stage companies, equity is more likely to be in the standard range for senior operations leadership.
What Factors Drive Agent Ops Compensation
Compensation for this role varies more than the headline ranges suggest, and several factors move the number meaningfully.
Company stage and GTM complexity. A seed-stage company with five people and a single GTM motion needs a different Agent Ops profile — and will pay accordingly — compared to a Series B company running a multi-channel outbound motion with a 20-person sales team. The scope of the work and the expected impact drive the comp.
Tooling depth and portfolio. Not all Agent Ops experience is equivalent. Someone who has built deeply in Clay and n8n across multiple business functions is more valuable than someone who has used Zapier automations at the margins. The depth of hands-on platform experience moves the number.
Operations background. An Agent Ops hire who comes from a RevOps lead role brings institutional knowledge about how GTM functions actually work — what makes a good lead, how to think about sequencing, what data quality problems break downstream processes. That background is worth money because it compresses ramp time significantly.
Track record of shipped workflows. The credential that moves comp most in this space is demonstrable production experience — you built a Clay enrichment workflow that processed 10,000 records a month and your sales team depended on it. Candidates with that kind of specific, verifiable track record can negotiate meaningfully above the floor.
Remote versus on-site. Remote-first companies can access a national talent pool and tend to pay more consistently across geographies. On-site roles in high-cost markets will pay at the upper end of the range. Distributed companies often compete on flexibility and mission as much as pure base comp.
Frequently Asked Questions
What does an Agent Ops professional do day-to-day?
A typical week involves building or iterating on an agentic workflow — maybe a Clay sequence for prospect enrichment, an n8n automation connecting two business systems, or a research pipeline that synthesizes competitive information. They're also monitoring active workflows for quality issues, meeting with stakeholders to understand new automation needs, and evaluating new tools that might fit into the stack. It's a mix of building, operating, and cross-functional collaboration.
Is Agent Ops an engineering role?
No. The role centers on no-code and low-code platforms and doesn't require writing production code. The background is operations, not software development. Some Agent Ops professionals have light technical skills, but the role's value comes from operational judgment and deep platform fluency, not software engineering ability.
How is Agent Ops different from RevOps?
RevOps manages the systems and processes that track revenue operations — CRMs, reporting, pipeline management. Agent Ops builds the agentic workflows that automate the work itself. The roles are related and the best Agent Ops hires often have RevOps backgrounds, but the scope is different: Agent Ops is using AI to replace manual work, not just optimize the tools that track it.
Is Agent Ops a good career path right now?
Yes. The practitioners who are building real operational AI expertise now — shipping workflows, developing deep tooling knowledge, accumulating a track record of measurable business impact — are positioning themselves well for a market that's expanding fast. The title will normalize, the demand will grow, and the people who got in early will have a significant advantage.
How should companies structure the Agent Ops function?
Most companies start with one generalist Agent Ops hire who owns everything. As the function matures and the automation portfolio grows, specialization makes sense — someone deeper on GTM automation, someone deeper on internal ops, a technical resource who can handle integrations that require light coding. The Head of Agent Ops position emerges once there's enough scope and team to manage. Most startups are still in the one-person phase.
Resonance Search places engineering, product, GTM, and operations talent for high-growth companies. If you're building an Agent Ops team, reach out →
