Technical Delivery Manager, H2O.ai
3 Month Contract
$44.00 - $70.00 CAD per hour
Open-source AI cloud platform
Job no longer available
Open-source AI cloud platform
201-500 employees
Job no longer available
$44.00 - $70.00 CAD per hour
201-500 employees
Company mission
To democratize AI for everyone.
Role
Who you are
- We are seeking a highly skilled, enthusiastic Technical Delivery Manager
- The Technical Delivery Manager excels in communication, possesses strong technical skills, and demonstrates exceptional project management abilities
- Technical Project Management: Proven experience managing technical platform deliveries and troubleshooting issues during execution. Proven experience of delivering complex software projects under strict timelines
- Hands-on experience with CICD/DevOps: Worked as DevOps Engineer with expertise in CI/CD pipelines for deploying an AI platform in different environments (dev, prod, UAT)
- Must have experience with Jenkins, Git, JFrog, Veracode, Kubernetes (OpenShift is a plus)
- Stakeholder Engagement: Ability to manage relationships with system integrators and cross-functional technical teams
- Project Management Skills: Proficiency in planning, executing, and managing technical projects using appropriate tools and methodologies
- Helm Charts: Ability to understand and write Helm Charts for Kubernetes deployments
- Linux Expertise: Familiarity with Ubuntu and CentOS/RHEL environments
- Monitoring and Performance: Experience with tools like Datadog for monitoring and troubleshooting
- Customer-Facing Skills: Strong communication and problem-solving skills to address customer queries and foster adoption of H2O.ai solutions
- Virtualization: Familiarity with technologies like VMware and Vagrant
- Experience: Minimum 5+ years of relevant experience, with a least to last 3+ years focused on working with Jenkins for CI/CD pipeline development
What the job involves
- You will drive the successful technical execution of projects and initiatives
- In collaboration with clients, you will ensure the timely deployment and integration of technical solutions by coordinating across internal and external teams, including customer data scientists, Kaggle Grandmasters, platform engineers, system integrators (SIs), and support teams
- Given H2O.ai's ambition to empower every business with AI capabilities, the Technical Delivery Manager plays a crucial role in delivering that mission
- You will help clients implement our AI products and platforms, ensuring successful execution and operational stability
- Success wil be measured by project timelines, platforms, performance, and client satisfaction
- Stakeholder Coordination: Collaborate with internal teams, system integrators, and customer technical teams to align efforts, manage expectations, and resolve challenges
- End-to-End Project Delivery: Oversee AI and platform installation projects ensuring deployments meet technical and customer-specific requirements. Manager resources, address roadblocks, and resolve escalations
- Technical Guidance: Provide input on platform installations, AI model operations, and best practices to ensure smooth deployment and performance
- Customer Engagement: Monitor project progress, address technical issues, and foster strong relationships with stakeholders to ensure satisfaction and collaboration
- CI/CD Pipeline Automation: Oversee that CI/CD pipelines are established and maintained using Jenkins to automate software build, test, and deployment processes
- Ensure efficient and reliable deployment to streamline platform integration for customers
- Oversee Design, Deployment, and Management of Infrastructure: Ensure the architecture, deployment and management of infrastructure for H2O.ai Cloud across major cloud platforms (AWS, Azure, GCP) and on-premises Kubernetes (K8s) clusters
- Monitoring and Performance Optimization: In consultation with. the technical leadership, manage the set up and configuration of monitoring systems (e.g., Datadog) to track system performance and optimization of resource utilization
- Ensure that the relevant team members troubleshoot issues by analyzing logs and proactively ensuring platform stability
- Disaster Recovery & Security: Support and ensure that security best practices are implemented to protect customer data and ensure compliance with industry regulations (e.g., SOC2, HIPAA)
- Assist define and implement disaster recovery strategies for critical customer environments
Our take
Dedicated to making the world of AI more accessible to everyone, H2O.ai provides a platform that supports the making and operating of AI for businesses. The platform boasts a range of capabilities; from automated machine learning and no-code deep learning, to AI-powered data labelling and extraction; as well as its most recently added "h2oGPT" that supplies enterprise generative AI.
With productivity, organisation and data analysis among the core parts to any business' success, AI and machine learning getting more and more popular - as they are able to outpace humans' ability to absorb, interpret, and make complex decisions quickly. It is no surprise then that H2O.ai has a grand roster of clients including GlaxoSmithKline, Capital One, and Paypal. It is also well-funded, and with such a comprehensive set of offerings it is in a great place to secure further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Nov 2021
$100m
SERIES E
Aug 2019
$72.5m
SERIES D
Total funding: $251.1m
Company benefits
- Remote-friendly culture
- Flexible working environment
- Career growth
Company HQ
Mountain View, CA
Leadership
Sri Satish Ambati
(Co-Founder & CEO)11 years experience in the Software and Engineering field prior to H2O.ai. Worked as Director of Engineering and Principal Engineer of DataStax.
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