Revenue Operations Engineer

Lumana is on a mission to empower organizations by unlocking the value of their visual data — not just record the world, but to actually understand it and extract meaningful insights. Our AI video security platform delivers unmatched visibility and control, helping customers enhance security and safety, streamline operations, and respond instantly when it matters most.

Founded in 2021, we are backed by tier‑one Silicon Valley investors with deep team expertise in AI, computer vision, and machine learning. We are one of the fastest‑growing video security companies and recently raised the largest Series A within our industry. We’ve built the most intelligent video security solution on the market — one that sees what matters
, acts fast, and prevents what used to be inevitable.

At Lumana, teams are small, dynamic, and trusted to lead. We think big, move fast, and execute like owners — because we are. Your impact here won’t be filtered. It will be visible, lasting, and real.

The Revenue Operations Engineer will architect and scale the systems that power Lumana’s go‑to‑market engine. This role sits between Engineering and Rev Ops, building the automation, integrations, and data infrastructure that allow Sales, Marketing, and Customer Success to operate with precision at scale.

This role is for an engineer who enjoys building systems that scale go‑to‑market motion: automating workflows, integrating tools, improving data quality, and enabling revenue teams through clean architecture and thoughtful design. You won’t be quota‑carrying, and you won’t be running demos. Instead, you’ll be building the infrastructure that makes GTM teams faster, smarter, and more scalable.

If you like shipping real solutions, eliminating manual work, and partnering with Rev Ops, Product, and Engineering to turn strategy into systems—this role is for you.

U.S.A.

- Remote

Israel - Tel Aviv / Cesarea - Hybrid

• Design, build, and maintain internal tools, automations, and integrations that power GTM workflows
• Own data pipelines across CRM, marketing automation, product usage, and analytics tools
• Improve reliability, performance, and scalability of GTM‑critical systems
• Debug and resolve complex issues across APIs, data syncs, and third‑party integrations
• Write clean, maintainable code with strong documentation and testing practices

• Partner with Rev Ops, Sales Ops, Marketing Ops, and Product to translate GTM needs into technical solutions
• Build automation that removes manual work from sales and marketing teams
• Create dashboards, alerts, and data models that support forecasting, attribution, and performance analysis
• Evaluate new tools and platforms from a technical and architectural lens

• Act as the technical owner for GTM systems and integrations
• Influence system design decisions with a long‑term scalability mindset
• Balance speed and quality in a fast‑moving environment

Other duties may be assigned.

• 3+ years of Software Engineering, Systems / Platform Engineering, Data Engineering, Automation / Internal Tools Engineering
• Strong engineering background (software, data, or systems engineering)
• Experience building integrations using APIs, webhooks, or middleware tools
• Proficiency in at least one programming language (e.g., Python, JavaScript, Type Script, etc.)
• Comfort working with data models, schemas, and analytics concepts
• Experience improving internal systems, not just shipping customer‑facing features

• Experience supporting GTM, Rev Ops, or growth teams in a technical capacity
• Familiarity with CRM platforms, marketing automation, or analytics tools
• Experience in a high‑growth SaaS environment
• Strong opinions on automation, system design, and operational leverage

• We spend a lot of time building best‑in‑class products since we believe a highly differentiated product is easier to sell.
• We aim to provide both product & industry expertise whenever we interact with prospects and customers.
• We strongly believe that small teams with very talented people (and the right work environment) deliver much…