Principle Product Manager, AI infrastructure Jobs

Engineering Manager, Infrastructure

As an Engineering Manager for the Infrastructure team, you’ll lead the engineers...

Location

Canada; United States

Salary:

195000.00 - 285000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years of hands-on software or infrastructure engineering experience
2+ years of experience leading teams of senior and staff-level engineers in platform, SRE, or infrastructure domains
Proven ability to design and operate large-scale distributed systems in cloud environments (preferably GCP or AWS)
Expertise with Kubernetes, Docker, Terraform, Ubuntu, and CI/CD pipelines
Familiarity with observability tools (Grafana, Prometheus, ELK, Datadog, NewRelic) and performance tuning
Strong grounding in networking, security, and reliability principles
Experience managing infrastructure costs, availability SLAs, and high-throughput systems at scale

Job Responsibility

Lead, coach, and grow a distributed team of high-impact Infrastructure Engineers
Partner with senior engineering leadership on strategic initiatives such as cloud migration, infrastructure scaling, platform reliability, and cost efficiency
Define and implement modern operational excellence practices, including SLOs, error budgets, incident reviews, and performance monitoring
Guide technical decision-making across key areas like Kubernetes, GCP, observability, networking, CI/CD, and IaC (Terraform, Ansible)
Collaborate with AI, Data, and Product Engineering teams to ensure infrastructure scalability for ML and AI-native workloads
Run effective 1:1s, career development conversations, and quarterly performance reviews
Support recruiting efforts to attract top engineering talent across time zones

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Product Marketing Manager

As a Product Marketing Manager at HPE OpsRamp, you will play a pivotal role in d...

Location

United States , Spring, Texas

Salary:

119500.00 - 275000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

BA or BS in Marketing or related field
MBA preferred
10+ years of product marketing experience in one or more of the following domains: infrastructure monitoring, application performance monitoring (APM), cloud-native observability, or AIOps
strong understanding of hybrid IT environments, observability tools, and AI-driven solutions for IT operations
Proven track record of developing go-to-market strategies and crafting compelling product narratives
Ability to work cross-functionally and build strong relationships with product, sales, and marketing teams
Acknowledged mastery of marketing principles, practices, tactics and tools
Ability to manage advertising/direct marketing/research vendors
In-depth understanding of the industry, offering categories and company offerings/strategy
Strong project and budget management skills

Job Responsibility

Develop clear and compelling product positioning that highlights the value of HPE OpsRamp solutions in infrastructure monitoring, cloud-native observability, and AIOps
Create and maintain messaging frameworks tailored to target personas, industries, and use cases
Define and execute go-to-market strategies for existing and new product offerings
Collaborate with cross-functional teams, including product management, engineering, and sales, to align marketing plans with product roadmaps and business objectives
Produce high-impact marketing collateral, including value propositions, presentations, solution briefs, whitepapers, case studies, and blogs
Partner with demand generation teams to create campaign assets such as landing pages, reports, and webinars
Conduct market research to identify trends, customer pain points, and competitive insights
Translate research findings into actionable recommendations for product positioning and differentiation
Develop sales enablement tools, such as battle cards, product training materials, and objection-handling guides
Partner with sales teams to ensure they are equipped to effectively communicate product value to customers

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Career development and specific programs catered to helping you reach career goals
Inclusive work environment
Flexibility to manage work and personal needs
Opportunity to work for a company that is a force for good

Fulltime

New

Senior Engineering Manager- AI/ML

As the Senior Engineering Manager, you will lead by being a highly technical lea...

Location

United States

Salary:

Not provided

Aledade, Inc.

Expiration Date

Until further notice

Requirements

BS/BTech (or higher) in Computer Science, Engineering or a related field required
10+ years of production-level experience as an engineer and technical lead building highly scalable and reliable software
5+ years of managerial experience building and leading technical engineering teams
7+ years of experience in machine learning related technologies, with a strong preference for Python
Extensive experience in designing and implementing secure, scalable, and maintainable AI/ML platform architectures
Proficiency in distributed systems, microservices, containerization technologies (e.g., Docker, Kubernetes), model training infrastructure, orchestration tools, and MLOps principles
Sitting for prolonged periods of time
Extensive use of computers and keyboard
Occasional walking and lifting may be required

Job Responsibility

Build a high performing team by hiring and nurturing engineering talent
Strong technical leadership - drive technical solutioning and building roadmaps
Set aggressive and clear goals and remove all roadblocks for the team to achieve them
Working seamlessly and collaboratively with stakeholders across Aledade to achieve business outcomes
Work closely with engineering leaders to drive engineering excellence in our processes and systems

Fulltime

Software Engineer, Site Reliability

As a Site Reliability Engineer (SRE) at Fireworks AI, you will play a critical r...

Location

United States , San Mateo

Salary:

Not provided

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
5+ years of experience in Site Reliability Engineering, DevOps, or a similar role focused on large-scale production systems
Deep expertise in SRE principles and practices, including SLOs, SLIs, operational automation, incident management, and post-mortems
Extensive hands-on experience with public cloud platforms (AWS, GCP, Azure), including compute, networking, storage, and database services
Strong experience with containerization technologies (Docker) and orchestration platforms (Kubernetes)
Proficiency in designing and implementing robust monitoring, logging, and alerting systems using tools like Prometheus, Grafana, ELK stack, and distributed tracing
Solid programming/scripting skills in at least one language (e.g., Python, Go) for automation and tool development
In-depth knowledge of Linux operating systems, networking fundamentals, and system debugging
Proven ability to troubleshoot complex issues across the entire stack
Excellent communication, collaboration, and problem-solving skills

Job Responsibility

Ensuring System Reliability: Ensure systems are designed and implemented with high availability, scalability, and performance. Focus on fault tolerance, disaster recovery, identifying and removing scaling bottlenecks, and performance optimization across our multi-cloud infrastructure
Incident Management & Response: Lead efforts in incident detection, response, and resolution for critical production issues. Drive post-mortems to identify root causes and implement preventative measures to improve system reliability
Observability & Monitoring: Develop, implement, and maintain comprehensive monitoring, alerting, logging, and tracing solutions to provide deep insights into system health and performance
Automation & Toil Reduction: Identify and automate repetitive operational tasks to reduce toil and improve operational efficiency. Develop tools and scripts to streamline deployments, scaling, and system management
Capacity Planning & Performance Tuning: Work proactively on capacity planning to ensure our infrastructure can gracefully handle growth and peak loads. Optimize system performance and resource utilization
Reliability Best Practices: Collaborate with software engineers to embed reliability principles (e.g., SLOs, SLIs, error budgets) into the development lifecycle, promoting a culture of operational excellence
On-call Rotation: Participate in a periodic on-call rotation to support our production environment and respond to critical alerts

Fulltime

New

Systems Engineer

As our next Systems Engineer, you won't just be maintaining our corporate infras...

Location

United States , Chicago

Salary:

106650.00 - 130350.00 USD / Year

ActiveCampaign

Expiration Date

Until further notice

Requirements

An extensive, hands-on track record in Systems Engineering, IT Operations, or a related field, with a strong focus on corporate infrastructure management and driving operational efficiency
Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (e.g., Terraform, Ansible) and cloud automation best practices
Expert-level proficiency in implementing and managing Enterprise Mobility Management (EMM) solutions, specifically Microsoft Intune and Kandji, for device security and application deployment
Solid understanding and experience with Okta for Identity and Access Management (IAM), including Single Sign-On (SSO), Multi-Factor Authentication (MFA), user lifecycle management, and Entitlement Management
Proven success in developing internal automation tools using a modern programming language, ideally Python, to streamline corporate technology and business processes
Experience working with cloud platforms (AWS, Azure, Google Cloud) and modern virtualization technologies (e.g., VMware, Hyper-V)
Familiarity with DevOps best practices and CI/CD pipelines for corporate infrastructure, along with experience in Containerization (Docker, Kubernetes)
Strong knowledge of Linux/Unix systems administration
Exceptional stakeholder management skills and the ability to work cross-functionally with IT, security, and business teams to deliver self-service solutions and align initiatives with compliance frameworks (e.g., SOC 2, ISO 27001)
A self-starter mentality with strong analytical and problem-solving skills, coupled with a deep interest in finding innovative ways to leverage AI for systems and process optimization

Job Responsibility

Architect and deploy corporate infrastructure at scale using modern Infrastructure-as-Code (IaC) methodologies and GitOps workflows (e.g., Terraform, Ansible), focusing on continuous delivery and multi-cloud environments
Lead the strategy and execution of Enterprise Mobility Management (EMM) by configuring and managing Microsoft Intune and Kandji to ensure robust security compliance, application deployment, and device management for all company endpoints
Manage cloud-based Identity and Access Management (IAM) with Okta, implementing role-based access controls (RBAC), and automating entitlement management to mitigate security risks and adhere to Zero Trust principles
Drive continuous automation by developing internal tools and leveraging AI to streamline system administration, significantly reducing manual intervention and enhancing technology service delivery
Build and maintain robust CI/CD pipelines for corporate infrastructure, ensuring deployments are rigorously tested across environments and all system configurations are meticulously documented
Collaborate cross-functionally with Security, Product, and business teams to identify critical service gaps, translate business needs into technical requirements, and implement effective self-service solutions

What we offer

Comprehensive Health & Wellness: Top-tier benefits package that includes a fully-covered High Deductible Health Plan (HDHP), complimentary access to telehealth services, and a free subscription to Calm
Growth & Development: Access to LinkedIn Learning, professional development programs, and career growth opportunities in a fast-growing organization
Generous Paid Time Off: Recharge and take the time you need to maintain work-life balance with open PTO
Total Rewards: Generous 401(k) matching with immediate vesting, quarterly perks with commuter and lunch benefits for hub based employees or a stipend for remote workers, and a four-week paid sabbatical with bonus after five years
Collaborative Culture: Work alongside brilliant, passionate colleagues in an environment that values innovation, teamwork, and mutual support

Fulltime

Senior Software Engineer - AI

Senior Software Engineer role focused on AI and data-driven systems to transform...

Location

Sweden , Malmö

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Software development principles
Programming language skills
Experience with Python (object-oriented)
Experience with REST-based frameworks like FastAPI
Frontend development skills
Cloud platform experience (Azure preferred)
Infrastructure-as-code experience (Terraform)
GitHub Actions for automation
Testing and quality focus
Experience with SSO, permissions, and access control

Job Responsibility

Design and develop cloud-based products
Build and evolve global application using AI and data
Enrich content with meaningful metadata
Create solutions for presenting and managing product information
Collaborate with cross-functional Agile team
Implement digital solutions for omnichannel content

Fulltime

Director of Engineering

This role involves driving the strategy, development, and seamless integration o...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven leadership experience in systems integration around Private Cloud Solutions and related domains
expertise in Kubernetes, containers, microservices, and cloud-native architectures
strong expertise in systems engineering principles, design, and technologies, with demonstrated experience in managing complex engineered systems
understanding of cloud security principles and identity management tools such as Keycloak
experience in DevOps practices, CI/CD pipelines, and continuous integration
familiarity with infrastructure monitoring tools (Prometheus, Grafana, ELK Stack)
exceptional analytical and problem-solving skills, especially in navigating AI, private cloud-specific, and partner-driven challenges
experience in Agile methodologies, particularly Scrum and SAFe frameworks
track record in managing complex technical projects and cross-functional teams
understanding and application of core storage, compute and networking technologies along with Virtualization, Microservices, Distributed Systems Architecture etc.

Job Responsibility

Lead engineering teams, promote innovation, collaboration, and improvement
manage design, architecture, integration, release, and lifecycle of complex systems for compatibility, performance, and reliability
develop integration strategies for Private Cloud Solutions aligned with organizational goals
lead strategic initiatives to automate cloud operations, upgrades, and deployments
manage cloud security strategies and ensure comprehensive identity and access management practices
implement systems to monitor performance, ensuring reliability, scalability, and security of integrated private cloud solutions
enforce strict standards for production readiness and release
ensure adherence to internal and industry security and operational standards
work with business stakeholders, technical leaders, cross-functional teams, and development teams to identify integration challenges, integrate hardware and software, and propose solutions for private cloud implementations
implement and sustain Agile practices, process workflows, and documentation frameworks for systems integration

What we offer

Health & Wellbeing
personal & professional development
unconditional inclusion

Fulltime

New

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at Aignostics, you will play a crucial role...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field or extensive work experience
8+ years of industry experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive systems and software architecture, design patterns and clean coding
Expert Python programming and fluency in C/C++ or other low-level language(s)
Experience with designing and implementing large-scale, distributed ML systems and platforms
Proven track record of deploying ML models into production environments
Strong knowledge of machine learning fundamentals
Experience with deep learning frameworks (e.g. Pytorch and Tensorflow) and state-of-the-art techniques (e.g. generative models)
Deep understanding of cloud technologies (e.g. GCP, AWS), containerization and orchestration (Kubernetes)

Job Responsibility

Define and drive the technical architecture and system design principles for our AI platform and infrastructure
Work in close collaboration with engineering leads to build flexible frameworks and systems for model training, evaluation and inference across different pathology applications
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision
Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value

What we offer

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment

Principle Product Manager, AI infrastructure

Hewlett Packard Enterprise

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
June 24, 2025

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