bout the Company

An applied AI and data analytics company building the intelligence layer for enterprise decision-making. The platform connects an organization's entire data landscape — internal systems, social media trends, industry reports, consumer behavior signals — into a single coherent intelligence layer that surfaces insights and automates workflows that used to take analysts weeks.

The core thesis: research and data are stuck in an outdated state — very little of it is connected, and massive value gets lost in that gap. The company is flipping sentiment from a lagging indicator into a leading indicator, helping brands make decisions months faster than legacy research tools allow. The platform is building toward a consumer intelligence ontology — powered by a production graph RAG system, connecting dots across temporal and sentiment data at a scale unlike anything built before.

The platform drives 8-figure improvements in gross margins for Fortune 500 retailers, with a land-and-expand strategy starting in insights/research departments and expanding into innovation, marketing, supply chain, and manufacturing.

Founded by a technical team with deep innovation and graph database backgrounds. Raised $14M in seed funding. Just launching publicly after nearly two years in stealth. Zero attrition — no one has left the company. Strong culture: weekly team activities, happy hours, game nights. This is a ground-floor opportunity — engineers joining now will have outsized influence on architecture, product direction, and culture.

11–50 employees | Founded 2024 | Validated with Fortune 500 brands during a 2-year stealth phase

About the Role

You'll own the infrastructure that keeps the platform running at enterprise scale — architecting, building, and maintaining the cloud systems that Fortune 500 retailers trust with their most critical data and decision-making. Hands-on, high-ownership role working closely with backend and ML engineers to ensure the platform is secure, scalable, and relentlessly reliable.

A key part of this role is taking over infrastructure leadership from the current DevOps lead over a transition period, then owning that domain long-term. Over time you'll also help grow and build out the DevOps team — though the immediate priority is hands-on technical execution, not management.

The company believes in GitOps, infrastructure as code, and building systems that let engineering teams move fast without breaking things. You'd be the person who makes that real.

What You'll Own

• Architect and build secure, scalable cloud infrastructure using IaC (Terraform/Terragrunt) on AWS
• Design and maintain robust CI/CD pipelines; convert manual processes into automated, repeatable workflows
• Own production reliability — observability stacks, SLI/SLOs, incident response
• Implement and champion GitOps workflows for all infrastructure deployments
• Build compliance-ready infrastructure (SOC 2, GDPR) with IAM best practices and secrets management
• Optimize cloud costs while maintaining performance and reliability at scale
• Create developer tooling and documentation that accelerates engineering workflows
• Mentor team members on DevOps best practices and guide infrastructure strategy

What We're Looking For

Must Have

• 4–7+ years of industry experience, with at least 4 years hands-on in DevOps/infrastructure roles
• 4+ years managing cloud infrastructure in production — AWS strongly preferred
• 2+ years of production Kubernetes experience (EKS preferred)
• Deep proficiency in Terraform/Terragrunt and Infrastructure-as-Code principles
• Strong scripting skills in Python and Bash
• Experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, or similar)

Nice to Have

• Security-first mindset with compliance framework experience
• Systems-level, architectural, and strategic thinking — concepts over syntax
• Experience supporting ML/AI workloads and GPU infrastructure
• Familiarity with service mesh architectures and advanced networking
• Experience with multi-tenant enterprise SaaS infrastructure
• Background in cost optimization and FinOps practices
• Former technical founders encouraged — what you've built matters more than tenure