Revenue Operations Lead
About Mach9
Mach9 is pioneering the next era of the surveying and geospatial industry. Our AI-driven platform opens up a world of possibilities for the millions of surveyors and civil engineers responsible for supporting the $3 trillion infrastructure industry. With our market-defining technology, engineers can leverage geospatial data to complete projects faster than ever before.
Our first , Mach9 Digital Surveyor is transforming highly-manual surveying workflows by automatically extracting features (such as signs, curbs, and utility poles, etc.) from large-scale imagery and 3D datasets—delivering results up to 96 times faster than today’s labor-intensive process. By dramatically scaling what surveyors can achieve, Mach9 empowers the industry to accelerate infrastructure development, improve decision-making, and fundamentally reshape the way we build and maintain our world.
Mach9 Quiet Capital, Y Combinator, Overmatch Ventures, Kyle Vogt (founder of Cruise), Amar Hanspal (former CEO of Autodesk), Scott Belsky (CPO of Adobe), Gokul Rajaram (former executive at DoorDash), and more.
Position Overview
We're looking for our first Revenue Operations hire to build the systems and processes that power Mach9's commercial engine. You'll own the infrastructure behind how we manage customer data, contracts, billing, commissions, and GTM workflows. This is a cross-functional role for someone who enjoys building from scratch, thrives in ambiguity, and wants to help scale a high-growth, usage-based AI company.
Responsibilities
Commercial Operations: build and own the commercial processes that support pricing, contracts, deal approvals, renewals, and customer account management.
Billing Operations: own the company's billing operations, ensuring customers are billed accurately and on time in accordance with their contracts and product usage.
GTM Technology Management: manage and continuously improve our GTM technology stack, critically evaluating third-party tools and overhauling the stack when necessary to drive efficiencies and improve team performance across GTM.
Revenue Planning and Reporting: design and manage the processes that support accurate sales forecasting, pipeline reporting, and operational visibility.
GTM Compensation: design, administer, and continuously improve compensation plans and incentive programs that align team performance with company goals.
Requirements
4-7+ years of Revenue Operations, Sales Operations, Business Operations, or a related operational role, preferably in a high-growth technology company
Ability to translate GTM needs and complex business problems into actionable requirements and project milestones
Ability to drive significant change initiatives across sales, CS and marketing, scaling processes in a growth-stage company increasing headcount
Experience designing and administering sales, customer success, and solutions compensation plans
Advanced knowledge of modern GTM systems and business applications, with experience administering CRM platforms, sales engagement tools, customer support platforms, and workflow automation tools
Excellent quantitative and analytical skills
Strong communication and interpersonal skills
Self-motivated and able to handle multiple competing priorities
Adaptable for the quickly changing landscape of a startup environment
Head of ML
The Role
At Mach9, we're building AI to turn dense LiDAR and image data into design-grade CAD deliverables for civil engineering and surveying. We have one of the richest survey-grade datasets in the world. Our product, Digital Surveyor, automates work that takes surveyors and engineers weeks of manual effort.
We're looking for a Head of Machine Learning to build and grow the organization that turns our data into the automated products of the future in surveying and design. This is a hands-on leadership role: you'll set the technical vision for our strategy, mentor and grow a team of ML engineers and researchers, and own the throughline from hard research problems to shipped product capabilities.
This role is ideal for experienced engineers, team leads, and managers who want to push the frontier of 3D computer vision and perception. You’ll have the opportunity to solve problems that few other teams have the data or the talent to take on. We need you to bring a strong vision of what’s possible with our unique dataset, and then to build a team around you to accomplish that vision.
Responsibilities
Define and drive a coherent vision for how Mach9 can leverage our data advantage to build the best automation products across surveying and design.
Translate your vision into a technical roadmap, execute strongly, and bring our products to the next level. You’ll need to identify which challenges are worth solving, and then which models are ready to ship.
Build and grow our ML team: hiring, onboarding, structuring the team as it scales, and shaping the split between research and engineering as our organization matures.
Mentor ML engineers and researchers, providing technical direction, career growth, and guidance to raise the level of the whole team.
Stay technically hands-on: review designs and code and weigh in on architecture and modeling decisions, so that you stay credible and connected to the team and problems.
Partner with product and engineering leadership to align Mach9’s investment into research with our product strategy and customer needs.
Requirements
Experience leading and growing teams — hiring and mentoring ML engineers and researchers.
5+ years of work experience in machine learning, with a track record of shipping ML models or systems to production.
Strong technical depth in machine learning and computer vision, and an ability to set technical direction and to earn the trust of a strong technical team.
Ability to develop technical roadmaps and execute on them.
Strong communication skills, with the ability to operate across research and engineering.
Proficient with Python and PyTorch. You must be comfortable engaging deeply with our technical work.
Bonus qualifications
Background in machine learning for 3D perception — point cloud understanding, 3D detection/segmentation, geometric deep learning, or related areas.
Experience with CAD AI, design automation, or applying ML to generate structured/geometric output, rather than just classification or detection.
Experience scaling an ML organization through a growth phase — defining team structure and hiring strategy.
Background in domains that work with similar data to Mach9 — remote sensing, geomatics, autonomous driving, or robotics.
Experience leveraging large unstructured datasets, especially reality-capture datasets, to build data-driven products and flywheels.
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