About the role
About Monaro Monaro is building the intelligence layer for mechanical teams. Our platform reads equipment schedules straight out of PDF construction drawings, runs the quantity takeoff, manages supplier pricing requests, and produces a formatted quote. Work that used to take an estimator six hours now takes under twenty minutes. Our customers are HVAC distributors and mechanical contractors. They win or lose commercial projects on how fast and how accurately they can quote, and today most of them still do it by hand. Our goal is to own that moment end-to-end, and to become the system these teams run their business on.
The Role This is the role that shapes how Monaro gets built. You will lead engineering as a player-coach, reporting to the Partner, and own the technical roadmap for the platform. Roughly 30% of your time is hands-on: platform architecture, design reviews, and the hardest problems in our extraction pipelines. The other 70% goes to building the engineering team and improving the way we ship software. You work alongside Product, Design, and our go-to-market team.
Responsibilities Own the architecture of our platform: the document extraction pipeline, multi-tenant application layer, integrations with customer ERP systems, and the decisions that let all of it scale as we grow. Set the quality bar for how we build: security, performance, and reliability expectations that hold across the product. Our customers are enterprises handling commercially sensitive bid data, and our security posture is part of why they choose us. Standardize our delivery platform: CI/CD pipelines, container practices, environment management, and infrastructure-as-code, so shipping is fast and boring. Own technical hiring. You run the interview loop and have final sign-off on engineering hires. We want engineers who understand the customer's workflow as well as the code, and you define that profile and hire against it. Set our approach to AI-assisted and agentic development: tooling, guardrails, and how we evaluate model-driven features before they reach customers. Build the habits of a strong engineering culture: architecture reviews, decision records, research before building, and mentoring that grows engineers into technical leaders. Partner with Product on what is feasible, what it costs, and what we sequence next. You will also sit in on enterprise sales conversations when the customer wants technical depth in the room.
Required Skills & Experience 10+ years in software engineering, including production ownership of a SaaS product at scale. You have been accountable for its performance, security, and observability. You have built and operated multi-tenant systems where reliability and data isolation were commitments customers could hold you to. You have introduced engineering standards across a growing team and made them stick without slowing delivery. Track record growing senior engineers and running technical hiring. You work well close to customers and the business: you can turn a workflow problem into an architecture, and defend the tradeoffs to a non-technical audience.
Preferred Depth in TypeScript/Node and React, with working Python — our primary stack AWS, Docker/Kubernetes, GitHub Actions or equivalent, and infrastructure-as-code, with experience building delivery standards rather than only working within them Applied AI/ML in production: document understanding, OCR or computer vision, extraction pipelines, and evaluating model output quality Data engineering behind a product: pipeline design, warehouse modelling, and the analytics layer customers see Enterprise integration experience, particularly ERP or other systems of record Early-stage product experience, taking something from first customers to a scaling platform
Why Monaro The central technical problem here is not solved. Reading unstructured construction drawings reliably, at an accuracy an enterprise estimator will stake a bid on, is hard, and it is the difference between a tool people try once and the system a business runs on. If that problem interests you, there is a lot of it here. You are shaping an early-stage product with real customers behind you.
Accommodation and Equal Opportunity Monaro is an equal opportunity employer. We welcome applications from people of all backgrounds and we hire on merit and fit for the role. We provide accommodation for applicants with disabilities at every stage of our recruitment process. If you need accommodation at any point, let us know and we will arrange it with you.
About monaro.ai
Monaro.ai a torinit company is an AI-powered platform built for building construction. We automate the entire mechanical quoting workflow, from extracting equipment quantities off construction drawings, to managing submittals, formatting quotes, and syncing with your ERP.
Project coordinators and inside sales teams use Monaro to respond to more opportunities, faster, without adding headcount. What used to take a full day now takes under 20 minutes.
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About the role
About Monaro Monaro is building the intelligence layer for mechanical teams. Our platform reads equipment schedules straight out of PDF construction drawings, runs the quantity takeoff, manages supplier pricing requests, and produces a formatted quote. Work that used to take an estimator six hours now takes under twenty minutes. Our customers are HVAC distributors and mechanical contractors. They win or lose commercial projects on how fast and how accurately they can quote, and today most of them still do it by hand. Our goal is to own that moment end-to-end, and to become the system these teams run their business on.
The Role This is the role that shapes how Monaro gets built. You will lead engineering as a player-coach, reporting to the Partner, and own the technical roadmap for the platform. Roughly 30% of your time is hands-on: platform architecture, design reviews, and the hardest problems in our extraction pipelines. The other 70% goes to building the engineering team and improving the way we ship software. You work alongside Product, Design, and our go-to-market team.
Responsibilities Own the architecture of our platform: the document extraction pipeline, multi-tenant application layer, integrations with customer ERP systems, and the decisions that let all of it scale as we grow. Set the quality bar for how we build: security, performance, and reliability expectations that hold across the product. Our customers are enterprises handling commercially sensitive bid data, and our security posture is part of why they choose us. Standardize our delivery platform: CI/CD pipelines, container practices, environment management, and infrastructure-as-code, so shipping is fast and boring. Own technical hiring. You run the interview loop and have final sign-off on engineering hires. We want engineers who understand the customer's workflow as well as the code, and you define that profile and hire against it. Set our approach to AI-assisted and agentic development: tooling, guardrails, and how we evaluate model-driven features before they reach customers. Build the habits of a strong engineering culture: architecture reviews, decision records, research before building, and mentoring that grows engineers into technical leaders. Partner with Product on what is feasible, what it costs, and what we sequence next. You will also sit in on enterprise sales conversations when the customer wants technical depth in the room.
Required Skills & Experience 10+ years in software engineering, including production ownership of a SaaS product at scale. You have been accountable for its performance, security, and observability. You have built and operated multi-tenant systems where reliability and data isolation were commitments customers could hold you to. You have introduced engineering standards across a growing team and made them stick without slowing delivery. Track record growing senior engineers and running technical hiring. You work well close to customers and the business: you can turn a workflow problem into an architecture, and defend the tradeoffs to a non-technical audience.
Preferred Depth in TypeScript/Node and React, with working Python — our primary stack AWS, Docker/Kubernetes, GitHub Actions or equivalent, and infrastructure-as-code, with experience building delivery standards rather than only working within them Applied AI/ML in production: document understanding, OCR or computer vision, extraction pipelines, and evaluating model output quality Data engineering behind a product: pipeline design, warehouse modelling, and the analytics layer customers see Enterprise integration experience, particularly ERP or other systems of record Early-stage product experience, taking something from first customers to a scaling platform
Why Monaro The central technical problem here is not solved. Reading unstructured construction drawings reliably, at an accuracy an enterprise estimator will stake a bid on, is hard, and it is the difference between a tool people try once and the system a business runs on. If that problem interests you, there is a lot of it here. You are shaping an early-stage product with real customers behind you.
Accommodation and Equal Opportunity Monaro is an equal opportunity employer. We welcome applications from people of all backgrounds and we hire on merit and fit for the role. We provide accommodation for applicants with disabilities at every stage of our recruitment process. If you need accommodation at any point, let us know and we will arrange it with you.
About monaro.ai
Monaro.ai a torinit company is an AI-powered platform built for building construction. We automate the entire mechanical quoting workflow, from extracting equipment quantities off construction drawings, to managing submittals, formatting quotes, and syncing with your ERP.
Project coordinators and inside sales teams use Monaro to respond to more opportunities, faster, without adding headcount. What used to take a full day now takes under 20 minutes.