EviSmart
Head of Global Continuity
"Most operations roles manage a ticket queue. This one commands the production environment at 2AM when 28 countries of dentists depend on the platform being up."
📍 BGC, Taguig City, Philippines • On-site • Full-time • Night Shift
WHAT EVISMART IS BUILDING
EviSmart is the leading dental Autopilot system operating across 28 countries in a $40B healthcare industry — and the Manila team builds and ships it. Not an MVP. Not a pilot. Live, in production, with thousands of dental labs and dentists depending on the platform every day to run their business.
We have multiple in-house AI teams building the next generation of dental design automation — and Manila is where it gets operationalized. We are one of the few genuinely AI-first companies in the Philippines. The models are being built here. The product is scaling here. The opportunity is here.
WHY THIS ROLE, WHY NOW
A live global platform operating across 28 countries doesn't sleep — and neither does the operational intelligence it needs. The person who joins now as Head, SaaS Operations builds the incident command model, the monitoring framework, and the engineering feedback loop from scratch. None of it is inherited. The monitoring visibility requirements, the post-mortem standards, the shift handoff structure — these get defined by the person in this seat.
Early joiners grow with the company. That is not a slogan — it is how every senior role here got built.
WHY EVISMART
"This is an engineering operations role — not a customer service role. The person I need thinks like an engineer and operates like an incident commander. When the platform goes down at 2AM, I need someone who reads the monitoring dashboard, forms a hypothesis about what layer failed, and runs the incident to resolution — not someone who escalates up and waits. If you've spent time in support operations where the skill was managing communication rather than diagnosing failures, this role will be a significant adjustment."
— Des Peraren, CTO / GM, EviSmart Manila
WHAT YOU'LL OWN
WHAT YOU'LL GET
HOW WE WORK
We share work before it's ready. We debate decisions loudly and execute them quietly. We default to fixing problems instead of escalating them. Manila is the delivery engine for a global platform — the standard is high and the pace is real.
A P0/P1 without a post-mortem before shift end is an incomplete shift. A data annotation team that doesn't clear 100% of daily cases is an open problem. We fix things before they escalate, and we expect everyone here to do the same.
If you've spent time waiting for the engineering team to tell you what layer failed — you'll notice the difference on your first week.
"Why EviSmart and not a bigger company? Because at a bigger company, your work goes into a queue. Your output is handled by a template. Here, what you build ships to 28 countries. That's the kind of ownership most roles never give you — and we think the best people want it."
— EviSmart Talent Team
WHAT SUCCESS LOOKS LIKE
30 Days
Monitoring layer owned, first shift handoffs running, P0/P1 protocol practiced
60 Days
Post-mortem completion rate at 100%, Data Annotation fallback documented and drilled
90 Days
Recurring incident rate trending down; engineering team receives structured problem statements, not raw complaints
A NOTE ON WHAT WE'RE NOT
This is not a customer service management role with a better title. Customer communication is handled by the CS team. Your job is the platform — monitoring it, commanding incidents on it, and feeding structured intelligence back into the engineering pipeline that improves it. If your background is primarily in managing customer-facing support teams where the core skill was communication rather than system diagnosis, this role will demand a different kind of thinking.
This is not a cost-center role and Manila is not a support function. Our Manila team leads engineering and operations — the product ships from here. If you've seen "Philippines office" mean something smaller at other companies, that is not what this is.
On AI: EviSmart's AI is not a marketing claim. We have in-house model research and development teams, and the tools we use daily — Claude, Cursor, Luvable, LLM-powered workflows — are part of the actual stack, not a slide in a deck. The next 12 months will see expanded AI pipeline infrastructure supporting dental design automation at scale — and the operational layer that keeps it running needs to be built now.
WHAT WE NEED
Apply at https://job-boards.greenhouse.io/evismart
EviSmart • Philippines • evismart.com