Role Overview

Most SaaS stacks inside fast-growing companies are a mess — tools bought by different teams, configured by whoever had access, with no one owning the full picture. At MyOperator, we're fixing that intentionally. This role owns our internal SaaS stack across Sales, Support, HR, Finance, Marketing, Operations, Product, and Customer Success — and builds AI agents and automated workflows on top of it.

This is not an IT helpdesk role, and it's not just a systems administration role. You'll set the AI and SaaS automation strategy for the company, work directly with department heads and the Founder's Office to translate business priorities into system-level decisions, and own measurable outcomes — reduced manual work, cleaner data, faster operations, and a growing internal AI capability. The expectation is that you drive this function proactively, not reactively.

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space. MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Key Responsibility Areas

Own the SaaS and AI automation strategy — define the quarterly roadmap for tool optimization, workflow improvements, and AI agent deployment; present priorities and progress to the Founder's Office/COO with clear business impact framing
Administer and improve the internal SaaS stack — configure workflows, fields, roles, permissions, pipelines, and reports across tools; proactively identify and fix structural problems before departments escalate them
Build and deploy AI agents on top of SaaS applications — summarize CRM records, score resumes, flag data hygiene issues, draft follow-ups, surface delayed tasks, generate operational summaries — and own the quality, reliability, and governance of these agents
Translate business priorities into system decisions — work with department heads to convert requirements (hiring pipeline, support escalation, finance approval, customer onboarding) into structured, governed system configurations
Own SaaS governance — define tool ownership, change approval rules, AI agent access controls, human-in-the-loop review requirements, and offboarding access revocation; enforce these rules, don't just document them
Manage the SaaS stack commercially — maintain a live inventory with owners, license counts, costs, renewals, and usage; proactively recommend consolidations, replacements, and renewals with a clear cost-benefit case
Drive adoption and build internal capability — create SOPs, run training, monitor usage, and reduce spreadsheet-based workarounds; build internal confidence in AI-assisted workflows through demonstrated reliability

Requirements — Must Have

5–8 years in SaaS administration, RevOps, BizOps, SalesOps, or business systems roles — with at least 2 years owning a multi-tool SaaS stack across more than one department simultaneously
Demonstrated experience setting direction on SaaS or automation initiatives — not just executing tasks assigned by others; can describe a specific initiative they owned end-to-end with measurable outcome
Hands-on configuration experience with tools such as Zoho, HubSpot, Salesforce, Freshdesk, Jira, ClickUp, Intercom, or equivalent — including pipelines, automation rules, reports, permissions, and integrations
Practical experience building automations using no-code/low-code platforms such as Zapier, Make, Zoho Flow, n8n, or similar — with at least one automation that removed a recurring manual process at scale
Direct experience working with AI tools in workflow contexts — prompt design, AI-assisted automations, GPT integrations, or AI agents connected to live SaaS data
Ability to operate with senior stakeholders — has worked directly with department heads or C-suite to gather requirements, present recommendations, and push back on requests that don't make systems sense

Requirements — Good to Have

Experience with the Zoho One ecosystem (CRM, Desk, Recruit, Books, Projects, Flow)
Familiarity with APIs and webhooks — comfortable connecting tools programmatically without writing full production code
Experience building internal AI assistants or GPT-based workflows — including prompt versioning, output review design, and quality testing
Prior experience in a startup or high-growth SMB where they owned systems without a dedicated IT function or large ops team
Understanding of data governance, access control, and AI risk — specifically, how to design safe human-in-the-loop review workflows

This Profile Is Not For

Candidates whose SaaS experience is tool-user level rather than administrator level — if you've never configured a pipeline, written a workflow rule, or managed permissions, this role will be immediately frustrating
Candidates who wait for business requirements to be handed to them in structured form — this role sits between business and systems, and the translation is the job
Candidates coming from large enterprise IT or infrastructure backgrounds expecting a defined scope, support team, and change management process — this is a build-from-scratch, high-autonomy, high-accountability environment

MyOperator

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