Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA)”. A match may be a passing mention rather than the job itself. Titles only.
184 roles across 203 listings · show every listing · page 3 of 8
…San Francisco office. PREFERRED QUALIFICATIONS - Fleet: Experience deploying, operating, or contributing to Fleet, including its MDM, osquery, GitOps, software-management, and vulnerability-management capabilities…
…unified data platform for all things observability – helping engineers, developers, and operators make decisions using data at every stage of the software lifecycle. Our…
…In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate…
…the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving…
…Familiarity with — or eagerness to learn — AI-specific engineering concerns such as evaluation, prompt and version management, observability, cost control, safety, and data privacy…
…by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE…
…calling and agentic tasks (SFT, distillation, and RL) using PyTorch and the open-source training ecosystem, on both managed training platforms and self-managed…
…Familiarity with multimodal AI systems and frontier foundation models. Software Engineering Experience building distributed production systems. Experience with cloud platforms such as AWS, Azure…
…Familiarity with multimodal AI systems and frontier foundation models. Software Engineering Experience building distributed production systems. Experience with cloud platforms such as AWS, Azure…
…Familiarity with multimodal AI systems and frontier foundation models. Software Engineering Experience building distributed production systems. Experience with cloud platforms such as AWS, Azure…
…process. #LI-REMOTE New York City + California Salary Range $114,150 — $142,700 USD San Francisco Salary Range $122,000 — $152,500…
…Own business and technical outcomes by establishing rigorous metrics, managing observability, and evaluating system ROI to continuously improve platform adoption, employee NPS, and organizational…
…tested before engineering time is committed to them. Represent AI Observability in executive strategy and prioritization decisions, and make the tradeoff calls when priorities…
…congestion management, flow control, QoS, and traffic engineering. Analyze transport-layer behavior and performance characteristics across large-scale distributed AI workloads. Evaluate network protocol…
…Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range $121,840…
…The ideal candidate combines deep vulnerability management expertise with strong software engineering judgment, systems thinking, and a bias for durable, measurable outcomes. What you…
…If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco or…
…Experience building evaluation and experimentation frameworks for AI systems (quality, safety, latency, business impact). Proven ability to integrate AI capabilities into large-scale platforms…
…In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate…
…engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the…
…San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. We’re seeking a hands-on Manager…
…root-cause analysis for live incidents. Engineering AI for Production: Move beyond the "sandbox". Build robust evaluation frameworks, latency-optimized streaming, and observability layers…
Who We Are Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company…
…As a Senior Software Engineer, AI Platform, you’ll lead the design and development of core platform capabilities that power Samsara’s next generation…
…Implement evaluation, monitoring, and telemetry capabilities to measure AI system quality, reliability, performance, and safety. Partner with engineering, applied science, product, security operations, and…