TetraScience · 4 hours ago
Senior Product Manager - Model Hosting Infrastructure
United States
Full-time
Remote
Senior Level
7+ years expTetraScience is a Scientific Data and AI company that is leading the Scientific AI revolution. The Senior Product Manager will lead the strategy for orchestrating, deploying, and monitoring machine learning workloads, ensuring seamless transitions from raw data to production-grade inference endpoints.
BiotechnologyData IntegrationData ManagementInternet of ThingsLife SciencePharmaceuticalSoftware
No H1B
Responsibilities
Define the roadmap for two core service pillars:
Orchestrating elastic, cost-optimized compute (GPU/CPU) for model training and experiment tracking
Managing the deployment of models into high-availability, low-latency API endpoints
Radicalize the user experience for ML Engineers
You will build self-service "push-button" deployment workflows that abstract away the complexity of Kubernetes and cloud networking
Ensure every model has a clear "paper trail."
You will define how we capture the lineage between data versions, training code, and production artifacts—a critical requirement for Biopharma compliance
Build the tools to monitor model health in production
This includes infrastructure-level metrics (latency/memory) and model-level observability (drift/performance) to ensure system reliability
Partner with Scientific IT and Platform Engineering to ensure our services integrate seamlessly with existing enterprise identity (IAM) and security frameworks
Act as the "CEO of the Service," translating complex infrastructure needs into clear, actionable epics and user stories for a high-performing engineering team
Qualification
Required
7+ years of Technical Product Management experience, specifically within cloud infrastructure, backend services, or developer platforms
Deep understanding of the ML Lifecycle: You should be intimately familiar with the infrastructure requirements for both model training (e.g., job scheduling, distributed compute) and inference (e.g., autoscaling, REST/gRPC APIs)
Infrastructure Fluency: Strong background in container orchestration (Kubernetes), cloud providers (AWS/Azure), and CI/CD pipelines
Platform Mindset: A track record of building 'internal products' or APIs where the primary customer is a developer or a data scientist
Education: Bachelors or Masters degree in Computer Science, Engineering, or a related technical field
Preferred
Working hours in Eastern Time Zone
Experience with MLOps frameworks (e.g., Kubeflow, MLflow, or SageMaker) at a Series B-D scale
Knowledge of Infrastructure-as-Code (Terraform) and observability stacks (Prometheus/Grafana/Datadog)
Background in Life Sciences or Biopharma, understanding the nuances of GxP or regulated data environments
Benefits
100% employer-paid benefits for all eligible employees and immediate family members
Unlimited paid time off (PTO)
401K
Flexible working arrangements - Remote work
Company paid Life Insurance, LTD/STD
A culture of continuous improvement where you can grow your career and get coaching
Company
TetraScience
TetraScience is an R&D cloud data management company that empowers transformation in life sciences and drug discovery.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
$99.14MKey Investors
Underscore VCWatersDigital Science
2021-04-15Series B· $80M
2020-05-01Series A· $11M
2019-10-31Series A· $8M
Leadership Team
Patrick Grady
CEO
Siping Wang
President & CTO
Recent News
Research & Development World
2026-01-16
Company data provided by crunchbase