Manager, AI Systems Engineering
Manager, AI Systems Engineering
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Job Description
Meet Benevity
Benevity is the way the world does good providing companies (and their employees) with technology to take social action on the issues they care about. Through giving volunteering grantmaking employee resource groups and microactions we help most of the Fortune 100 brands build better cultures and use their power for good. Were also one of the first B Corporations in Canada meaning were as committed to purpose as we are to profits. We have people working all over the world including Canada Spain Switzerland the United Kingdom the United States and more!
Were seeking an experienced and technically skilled Manager of ML/AI Systems Engineering to lead the development scaling and operation of ML/AI infrastructure and services within our B2B SaaS platform. In this role youll guide the team in delivering secure scalable and highperforming MLpowered features by building on industryleading PaaS tools and ensuring reliable system operations.
Youll lead engineering execution in a Scrum environment partnering closely with product engineering platform and DevOps teams to deliver productionready wellintegrated and observable ML/AI services.
What youll do:
Team Leadership & Delivery
- Lead mentor and support a collaborative team of ML/AI systems engineers and operations specialists
- Guide Agile delivery practices including sprint planning retrospectives and backlog prioritization in alignment with product and platform goals
- Manage the ML/AI systems engineering backlog to ensure focused and impactful execution
- Ensure high availability performance and reliability of ML/AI services in production environments
ML/AI Platform Engineering & Operations
- Build and enhance infrastructure for training deploying and monitoring ML models on modern cloud platforms (e.g. Azure ML Vertex AI SageMaker Databricks)
- Design and maintain MLOps pipelines to support continuous integration delivery and monitoring of models
- Improve pipeline efficiency and reduce latency using techniques like model pruning and quantization
- Maintain best practices for model versioning reproducibility and performance optimization
- Establish effective observability alerting and cost monitoring for AI services
Integration & Collaboration
- Collaborate with data scientists to operationalize research models into stable scalable services
- Partner with product engineering teams to integrate AIdriven features such as recommendations and personalization into the SaaS platform
- Work closely with DevOps Security and SRE teams to meet performance compliance and scalability standards
- Participate in architecture reviews and help shape AI systems through thoughtful forwardlooking guidance
What youll bring:
- 5 years of experience in ML/AI or systems engineering including 3 years leading technical teams
- Demonstrated success operating productiongrade ML systems at scale ideally in a SaaS environment
- Understanding of multitenant SaaS architectures realtime inference pipelines and scalable model serving
- Handson experience working in Agile/Scrum teams with a focus on team velocity delivery and continuous improvement
- Strong communication and collaboration skills with the ability to lead across technical and nontechnical teams
- A degree in Computer Science Engineering or a related field
Technical Skills & Expertise:
- Cloud ML Platforms: Azure ML GCP Vertex AI AWS SageMaker Databricks
- ML Infrastructure Tools: MLflow Kubeflow Airflow Feast (Feature Store) Docker Kubernetes
- CI/CD & Ops: GitOps ArgoCD Terraform Jenkins GitHub Actions
- Monitoring & Observability: Prometheus Grafana OpenTelemetry Datadog
- Programming Languages: Python (primary) Bash optional: Go Java or Rust
- APIs & Services: REST gRPC Kafka/PubSub for data streaming
- Security & Compliance: IAM RBAC audit logging model access controls
Discover your purpose at work
Were not employees were Benevityites. From all locations backgrounds and walks of life who deserve more
Innovative work. Growth opportunities. Caring coworkers. And a chance to do work that fills us with a sense of purpose.
If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where youre valued for who you are and challenged to see who you can become
Its time to join Benevity. Were so excited to meet you.
Where we work
At Benevity we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work strong relationships and personal wellbeing. For those located near one of our offices while theres no set requirement for inoffice time we do value the moments when coming together in person helps us build connection and collaboration. Whether its for onboarding project work or a chance to align and bond as a team we trust our people to make thoughtful decisions about when showing up in person matters most.
Join a company where DEIB isnt a buzzword
Diversity equity inclusion and belonging are part of Benevitys DNA. Youll see the impact of our massive investment in DEIB daily from our wellsupported employee resources groups to the exceptional diversity on our leadership and tech teams.
We know that diverse backgrounds experiences skills and passions are what move our business and our people forward so were committed to creating a culture of belonging with equal opportunities for everyone to shine.
That starts with a fair and accessible hiring process. If you want to feel seen heard and celebrated you belong at Benevity.
Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to .
Required Experience:
Manager
Employment Type
Full Time
