Sight Machine

HQ
San Francisco
Total Offices: 2
67 Total Employees
Year Founded: 2011

Jobs at Sight Machine

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

16 Hours AgoSaved
In-Office or Remote
Ann Arbor, MI, USA
Big Data
Technical leader responsible for reliability, automation, scalability, and infrastructure across a cloud platform. Designs and operates Kubernetes-based systems, Infrastructure as Code, CI/CD, observability, incident response, internal platforms, and agentic AI/LLM workloads. Leads reliability practices, complex troubleshooting, operational automation, on-call improvements, architecture influence, cross-team initiatives, and mentorship while remaining hands-on with code, infrastructure, and incidents.
15 Days AgoSaved
In-Office
2 Locations
Big Data
The role involves leading strategic transformations in manufacturing using AI technologies, working closely with clients to define solutions, manage projects, and enhance user experience.
17 Days AgoSaved
In-Office
San Francisco, CA, USA
Big Data
Lead and operate cloud infrastructure and SRE practices, focusing on IaC, CI/CD, observability, incident response, and production-grade agentic AI/LLM systems. Architect, build, and run scalable platforms, drive reliability and SLOs, author runbooks/ADRs, mentor engineers, participate in on-call rotations, and reduce toil via automation and platform tooling.
23 Days AgoSaved
In-Office
San Francisco, CA, USA
Big Data
As a Manufacturing Outcomes Engineer, you'll lead technical delivery and quality assurance for Sight Machine's Manufacturing Data Platform, collaborating with teams to translate business needs into technical solutions.
25 Days AgoSaved
In-Office
2 Locations
Big Data
The Account Lead manages executive relationships and the commercial health of key manufacturing accounts, driving strategic value and overseeing delivery teams to ensure client satisfaction and platform success.
25 Days AgoSaved
In-Office
San Francisco, CA, USA
Big Data
As a Platform Backend Engineer, you'll develop core systems for ingesting and serving high-volume sensor data, optimizing ETL pipelines, and creating real-time dashboards for manufacturing insights.