Product Manager
Integration Experience
Posted on 1/11/2023
INACTIVE
TruEra

51-200 employees

AI quality solutions
Company Overview
TruEra is on a mission of helping people and machines make better decisions together. The company provides the first AI Quality platform, to help enterprises analyze machine learning, improve model quality and build trust.
AI & Machine Learning
B2B

Company Stage

Series B

Total Funding

$42.3M

Founded

2019

Headquarters

Redwood City, California

Growth & Insights
Headcount

6 month growth

-9%

1 year growth

-18%

2 year growth

13%
Locations
Bellevue, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Requirements
  • Easy deployment for single container or Kubernetes deployments in any environment (public cloud or on-prem)
  • Easy dev experience for data scientists, including accessing data stores, compute infrastructure, and fitting natively to their model development processes (experiment automation, training pipelines, notebooks, CLIs, UI, 3rd party ML workbenches, etc)
  • Easy monitoring experience via easy connectors to data stores, model serving infra, logging services, and support for common data pipelines (batch, streaming, attached data services, REST APIs, etc)
  • Easy scaling across team size, model complexity, dataset size, and latency requirements
  • Experience with scalable data stores (BQ, Redshift, Druid)
  • Public cloud + on-prem experience
  • Experience with model development infra: Data/feature stores, ML pipelines, training infra, experiment management, ML/AutoML workbenches (including Sagemaker, Cloud AI Platform, Azure, Data Robot, Dataiku, etc)
  • Hands-on work with authentication and billing (Auth0/ SSO/Zuora)
  • Work with Data pipelines and Streaming/ REST API support
  • Deep understanding of various enterprise readiness topics (security, privacy, identity, access management, disaster recovery, CI/CD systems, etc)
Responsibilities
  • Understand & work with customers & partners: Work with customers to understand their dev & production data science needs. Ensure we are focused on the problems and experiences our customers care most about, so they can be successful
  • Identify, prioritize, & solve customer architecture challenges: Understand the customers' installation and architecture needs, whether it be on-prem, cloud, or hybrid, and no matter what compute infra, machine learning platforms, integration patterns, or data stores they use. Incorporate the Enterprise IT requirements to fit naturally and easily in our customer's data science and production environments
  • Build best-of-breed data science & MLOps interfaces: Make it easy for data scientists & MLOps teams to work with Truera in a way that makes sense for them. This role requires active participation with customers to build the experiences our customers want, whether that be via Jupyter notebooks, python API, CLI, ML pipeline automation, Truera UI, or a monitoring dashboard
  • Provide technical & strategic clarity: Work with your Eng counterparts to identify best practices, both for the customer interfaces and our platform strategy to ensure we can meet the needs of our customers. Influence and participate in design discussion to create a reference architecture for each deployment and data science workflow model
  • Customer Focus: Work directly with the infra engineers to get the platform deployed, tested, and continually improve on the experience based on customer feedback and needs
Desired Qualifications
  • Hands-on data science experience
  • Model validation experience
  • Container and/or K8s deployments
  • ML Monitoring
  • Production data quality
  • Proficiency in Python, scripting languages, notebooks, etc
  • Data science experience on Spark