Top Tech Jobs & Startup Jobs in NYC, NY

The Staff AI Engineer will design AI-powered systems for People Technology at Grafana Labs, improving workflows and data insights across teams while ensuring responsible AI practices and data governance.

Lead and scale reliability and DevOps/SRE practices for Grafana Cloud k6: define SLIs/SLOs, incident response, observability, runbooks, and guide architecture and cross-team engineering to improve availability and operational ownership.

Manage a high-performing team of Solution Engineers, drive customer adoption of Grafana products, and collaborate with various departments to meet financial targets.

The Manager of Solutions Engineering will lead a team, drive adoption of products, enhance customer experiences, and exceed sales targets.

Join the Enterprise Solutions Engineering team to engage with customers, present technical solutions, and assist in sales efforts for Grafana products.

The Observability Architect leads technical relationships with clients, guiding them on observability solutions, driving product adoption, and ensuring customer success through expertise and strategic implementation.

Build and operate the Internal Engineering Platform: automate CSP resource provisioning, manage Kubernetes clusters, networking, scheduling/autoscaling, maintain Crossplane and Terraform modules, partner with application teams, and participate in on-call rotations to ensure reliability and scalability.

Lead technical pre-sales engagements for Grafana, partnering with Sales to demo, evaluate, and close opportunities. Deliver presentations, enable customers, gather product feedback, and produce documentation and enablement content to drive adoption and inform product teams.

Serve as the primary technical owner for a portfolio of customers: design observability architectures, drive adoption and onboarding, conduct health checks and RCAs, deliver trainings and documentation, and represent customer needs to Product and Engineering.

The Senior AI Engineer will develop AI solutions for incident management, collaborate cross-functionally, and enhance observability tools through iteration and ownership.