Backend Tech Lead

About PointFive

PointFive is the AI Efficiency OS. From the cloud to the coding agent, we're the only platform that manages AI spend everywhere it happens.

Engineering and FinOps teams use PointFive to make their organizations more efficient and their cloud and AI more effective. We don't just show what you spend. We show what you're wasting, and we fix it autonomously. NuBank saw ROI in 10 days. Customers average 1,200%+ ROI and a 4.9 rating on G2.

Founded by the team behind IntSights (acquired by Rapid7), PointFive recently closed a $60M Series B led by Accel, with participation from Entrée Capital and Salesforce Ventures.

About The Role

We're looking for an exceptional, hands-on leader-engineer to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team — operating with a high degree of autonomy in an ambiguous, fast-moving environment.

What You'll Do

• Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
• Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
• Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
• Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
• Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.
  
  

• 8+ years of experience in backend software engineering, with a proven track record designing, building, and operating large-scale cloud production systems.
• Strong coding fundamentals in backend technologies such as Go, Python, Java, etc.
• Experience leveraging AI coding agents (e.g., Claude Code) and implementing AI-oriented workflows to enhance team productivity and code quality.
• Production-grade experience with AWS, containerization (Kubernetes/Docker), microservices, and distributed databases/data warehouses (e.g., PostgreSQL, Snowflake).
• Practical experience working with large data volumes, data pipelines, or integrating AI/LLM technologies into production environments.
• Demonstrated experience leading technical workflows, driving complex cross-team initiatives, or acting as a full-lifecycle domain owner.
• A true independent operator who thrives in fast-paced environments and solves problems end to end.
• Ability to build technical consensus, inspire peers, and drive alignment across stakeholders.
  
  

• Founders with a track record — Built and sold IntSights to Rapid7. Backed by top-tier investors with deep conviction in this category.
• Category-defining product — DeepWaste detection and agentic remediation with clear, measurable ROI for both engineering and finance teams.
• Early-stage leverage — Your work directly shapes the product, the culture, and the go-to-market playbook.
• Step into a leadership track on a lean, senior engineering team — set direction for architecture and mentorship from day one.