Customer Engineer

Attribute is an early-stage startup tackling one of the hardest problems in modern infrastructure: truly understanding what specific business processes are driving cloud and AI spend. Using proprietary eBPF-based deep packet inspection, we give Fortune 500 enterprises a granular, real-time picture of their cost and value, connecting spend to the workloads, models and outcomes driving it.

Attribute is hiring its first Customer Engineer to build and own technical post-sales, working hands-on with enterprise customers and laying the groundwork to grow the team. The role suits someone with strong technical depth who is excited to design AI-first processes, thrives in direct customer engagement, and wants meaningful influence on how we execute.

• Build the technical post-sales, work directly with the founders as well as GTM, Product and R&D leadership, to build AI-first processes and workflows
• Be the trusted advisor for customers, you will own customer relationships and respond to them first. Understand the business of the customers, and work with them to embed Attribute within their business decision workflows
• Build and own the post-sales playbook, including onboarding, adoption, expansion, and long-term value realization. Create onboarding flows, escalation paths, health frameworks, and repeatable processes built to scale
• Drive customer outcomes, align on customer KPIs and ensure they achieve them by applying a “can do” mindset
• Lead technical onboarding and deployment, sensor installation, configurations, data validation, troubleshooting and integrations
• Own technical support, apply AI to manage escalations for customer issues, triaging and coordinating with R&D to drive resolution
• Drive automation, build/use AI and scripting to save on manual work across customer and internal workflows

• Must – Startup experience, ambiguity, multiple hats, building from zero
• Must – Flexibility to work US hours and workweek based on dynamic needs
• Must – Proven hands-on and production experience with AWS/GCP/Azure, Kubernetes, Helm, Terraform, CloudFormation
• Must – 3+ years in a post-sales technical role such as Customer Engineer/SE/TAM with heavy post-sales ownership. Advantage: experience with observability
• AI & automation mindset – used to solving day-to-day tasks with AI
• Major advantage – Founding or early team experience in a technical, customer-facing technical function
• Strong communication skills – used to navigate conversations with engineering and business stakeholders ranging from staff to VP level
• Data-driven – SQL proficiency, Python coding ability, can read and reason through code
• eBPF, cloud security, observability, or networking and traffic familiarity is a bonus
• Advantage – experience with FinOps or knowledge of cloud billing