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Experience with Site-Reliability Engineering practices (such as observability and log aggregation) using technologies such as ELK Stack, Splunk, Kafka, Datadog, Dynatrace, other Application Performance Monitoring tools.
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Familiarity with our current stack is not mandatory, though equivalent experience is beneficial: GitHub, Cypress, CircleCI, Docker, DataDog, MongoDB, PostgreSQL, Azure AI, and various AWS services (CloudFormation, EC2, ECS, Fargate, Lambda, RDS, Redshift, DynamoDB.
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In-depth understanding of Continuous Integration and Continuous Deployments concepts, Spinnaker, Kubernetes, and full stack experience. In-depth understanding of Continuous Integration and Continuous Deployments concepts, Spinnaker, Kubernetes, and full stack experience.
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Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning. Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Director, Generative AI - Agents and Tooling - People Leader (Remote Eligible)Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good.
$332,300 a yearPart-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideally, staff-level engineering & architecture experience, especially with our stack (Node, Typescript, React, GraphQL, Postgres, GCP) (Full Time) Director, Engineering (Head) at Prelay (United States) | BEAMSTART Jobs.
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Product management experience in the IoT space and/or on products with a vertically integrated hardware+software stack. The Safety product line is a combination of hardware and software (on-device firmware, a cloud-based UI, and a set of APIs), so you’re adept at working across a similar technology stack.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Has a full-stack product engineering background with experience working on world-class consumer facing software engineering applications. We are currently looking for a Director of Engineering, Product at a well funded and profitable Series C company in San Francisco.
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Intimate familiarity with modern data science and machine learning tool stack. We’re looking for a Director to lead our machine learning engineering team toward the forefront of personalized medicine and help us re-write the rule book on what’s possible in healthcare.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Tech Stack: React , Typescript/Node. JS, Javascript, Python, Terraform, AWS, FHIR, ChatGPT, Medplum. You are an experienced full stack developer and still very hands-on. owning and developing the entire tech stack of the Cascade platform incl.
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Our tech stack: Python/Django/Postgres/Heroku. As the Director of Engineering at SnapEDA, you will helm our technology strategy, driving both our AI vision and broader technical initiatives.
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We have the data and the team, now we just need a superstar Director to guide our explosive technical development. Competitive salary & equity compensation for full-time roles. Unlimited PTO, company holidays, and quarterly mental health days.
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A swiss-army knife that can bounce between a variety of topics (territories, commissions, tech stack, forecasts, etc) and quickly ramp up using first principles thinking. Experience using cutting-edge SaaS GTM technology that’s similar to our stack.
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Be the platform owner and architect of our GTM tech stack from evaluation and implementation to enablement, vendor management, and ongoing maintenance. This role requires prior sales operations experience and deep systems knowledge of Salesforce and other aspects of our GTM tech stack.
$180,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will lead PMs who are innovating on both ends of the stack - from AI-powered experiences that help shoppers browse and discover new items, to investments in deep learning and our portfolio of machine learned models.
$187,600 - $291,500 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Director, Machine Learning Engineering. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering.
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stack job Title: director in San Francisco, Troy, New York
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