San Francisco, California, United States · On-site
$150k–$170k/yr
About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from developm…
Skills: CI/CD, Kubernetes, GCP, AWS, Terraform
San Francisco, California, United States · On-site
$400k–$600k/yr
Leading M&A at the Frontier of AI-Powered Legal Services Building the Future of How Deals Get Done A venture-backed legal services company is seeking a Senior Partner to lead its M&A practice. The company is reimagining …
Skills: M&A, Transactional Law, Client Relationship Management, AI Implementation, Deal Execution
San Francisco, California, United States · Hybrid
$182k–$333k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Marketing & Communications Job Details About Salesforce Sal…
Skills: Product Marketing, Executive Messaging, CxO Marketing, Pipeline Management, Seller Enablement
San Francisco, California, United States · Hybrid
Join the team bringing advanced autonomy to the built world At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B…
Skills: Corporate Technology, Business Systems Deployment, Bash, Python, HCL
San Francisco, California, United States · Remote OK
$176k–$221k/yr
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of develo…
Skills: Enterprise Partnerships, Business Development, Strategic Sales, Deal Structuring, Contract Negotiation
San Francisco, California, United States · Hybrid
Join us and help shape the future of AI by defining the narrative around document understanding. About the Role LlamaIndex is growing its Business Development team. In this role, you'll generate qualified meetings and pi…
Skills: Lead Generation, Outbound Prospecting, Inbound Qualification, CRM Management, Account Research
San Francisco, California, United States · On-site
Overview We’re hiring a Business Development Representative to source qualified opportunities for Avatar Robotics. You’ll identify high-potential warehouse operators, reach the right decision-makers, and generate discove…
Skills: B2B Sales, Business Development, Lead Generation, Market Research, Executive Outreach
San Francisco, California, United States · Hybrid
$165k–$185k/yr
Voice AI that resolves, not transfers. Most phone systems trap callers in menus and scripts. Vapi is the platform for deploying voice agents that know your business and can listen, adapt, and resolve in minutes. The numb…
Skills: Financial Modeling, FP&A, Unit Economics, Cost Of Revenue Analysis, Excel
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Atmospheric Science, Meteorology, Numerical Weather Prediction, Forecast Verification, Data Validation
San Francisco, California, United States · Hybrid
$380k–$456k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Product Job Details About Salesforce Salesforce is the #1 A…
Skills: Product Management, Technical Leadership, AI Strategy, Application Lifecycle Management, DevOps
San Francisco, California, United States · Hybrid
$180k–$210k/yr
Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of the Fortune 5…
Skills: Consumer Public Relations, Influencer Relations, Entertainment PR, Strategic Storytelling, Media Relations
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Problem Decomposition, Stakeholder Management, Structured Thinking, Cross-functional Leadership, Technical Fluency
Causal LabsSan Francisco, California, United States · On-site
Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics foundation Model (LPM…
Skills: Software Engineering, Data Pipelines, Evaluation Frameworks, Probability, Statistics
San Francisco, California, United States · On-site
$180k–$240k/yr
About Usul Usul is a Silicon Valley AI lab helping America and its allies buy technology at the speed of Amazon Prime. We're Stanford dropouts, MIT AI scientists, and Tier-1 Special Forces Operators dedicating our lives …
Skills: Python, DevOps, Bash, Linux, Kubernetes
San Francisco, California, United States · Hybrid
$220k–$270k/yr
Staff Machine Learning Engineer About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or ch…
Skills: Machine Learning Engineering, MLOps, System Design, Production Deployment, Model Monitoring
San Francisco, California, United States · Hybrid
Linq is building the messaging infrastructure for the AI era, aka "build AI agents in iMessage". Our growth team is responsible for finding, converting, and retaining the businesses and developers who power their product…
Skills: Growth Marketing, Event Planning, Content Writing, Landing Page Optimization, Campaign Execution
San Francisco, California, United States · Hybrid
$212k–$265k/yr
About the team At a Glance This is one of the highest-leverage quantitative research roles in the marketplace space right now. Here’s what you need to know before reading further. Why this role stands out: Greenfield sco…
Skills: Quantitative UX Research, Experimental Design, Survey Methodology, Statistical Analysis, Behavioral Data Analysis
San Francisco, California, United States · Hybrid
$165k–$225k/yr
About Orb: We’re a team that cares deeply about the work, the people we do it with, and the customers we do it for. Everyone at Orb has real ownership over their work, direct access to customers, and a voice in how the c…
Skills: Software Engineering, API Design, Systems Engineering, Data Modeling, Real-time Analytics
San Francisco, California, United States · Hybrid
$197k–$345k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
Skills: Java, Spring Boot, API Design, Asynchronous Workflows, Event-driven Systems
San Francisco, California, United States · Remote OK
$75k–$85k/yr
OUR MISSION Prisms VR is a San Francisco-based team of educators, game developers, and engineers transforming K12 STEM education through experiential real-world problem-solving powered by the next generation of spatial c…
Skills: Instructional Design, Interactive Design, Curriculum Development, STEM Education, Spatial Thinking
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The role focuses on designing and maintaining scalable cloud infrastructure on GCP and AWS while owning CI/CD pipelines. You will drive automation, establish observability standards, and ensure the reliability and performance of large-scale data pipelines.
Requires 4–5 years of experience in DevOps, platform engineering, or SRE within a production environment. Candidates must be proficient with Kubernetes, infrastructure-as-code tools, and observability fundamentals.
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
We're looking for a DevOps Engineer with 4–5 years of experience to join our growing platform engineering team in San Francisco. You'll be embedded in the teams building and operating Encord's core infrastructure, ensuring our platform is performant, reliable, observable, and scalable. You'll drive a culture of automation, performance, and resilience through individual contributions and collaboration with multiple squads.
CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.
Infrastructure & Cloud Design, deploy, and maintain cloud infrastructure on GCP and AWS; manage Kubernetes clusters, networking, and storage at petabyte scale, with infrastructure-as-code as the default.
Automation & Tooling Drive developer productivity by building, guiding, and reviewing automation and internal tooling efforts across the engineering group; eliminate manual toil wherever it exists.
Performance & Capacity Profile and optimise services handling large-scale data pipelines; perform capacity planning for storage and compute-intensive workloads. Work with squads to establish performance benchmarks and expectations.
Reliability & Availability Define and own SLIs/SLOs/SLAs for critical services; build alerting, runbooks, and incident response processes; lead postmortems with a blameless culture.
Observability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production.
4–5 years of hands-on DevOps, platform engineering, or SRE experience in a production environment.
Strong experience building and maintaining CI/CD pipelines and deployment automation at scale.
Proven experience with infrastructure-as-code tools (e.g., Terraform, Pulumi) and configuration management.
Strong fundamentals in designing, building, and maintaining resilient distributed and/or high performance systems.
Hands-on experience with Kubernetes and containerised workloads in cloud environments (GCP and/or AWS).
Solid understanding of networking, operating systems, and database technologies.
Experience with observability fundamentals metrics, logs, traces, and alerting.
We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.
Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray
Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.
Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
The data layer for physical AI
Encord is the data layer for physical AI. We're how the world's most ambitious AI teams turn messy, multimodal data into production systems - from humanoid robots to autonomous vehicles to smart infrastructure. 300+ teams including Toyota, Skydio, and Maxar rely on Encord to curate, manage, and align the data their models actually need. $110M raised. San Francisco, New York, and London.
Offices: San Francisco, California, US · London, GB
Based on 4993 listings with disclosed salaries, most technology jobs in San Francisco, CA pay between $130k–$280k per year. Individual offers vary with seniority, company size, and specialization.
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