Product Manager
Core
Managing the full technical product lifecycle for data platform and machine learning products, translating complex technical concepts into business outcomes.
Role type
Senior Product Manager (Data Platform & ML)
Builds
Data platform features, ML product capabilities, and self-service tools for expert and new users.
Domain
Data platforms, Machine Learning, Enterprise Software
Deliverable
product features
Required skills
product strategy, prioritization, data platform fundamentals, machine learning literacy, stakeholder alignment, user workflow design, documentation, structured/semi-structured/unstructured data fluency, batch/streaming pipelines, data quality, lineage, observability, metadata, schemas, versioning, APIs, SDKs, tenancy models, performance, scalability, cost tradeoffs, supervised/unsupervised learning, training/inference, model evaluation, overfitting, drift, deployment patterns, monitoring, retraining, experiment design
Preferred skills
MLOps, experimentation, metrics, responsible AI, platform UX thinking
Technologies
AI Flow, Machine Learning, Web, UX, UI Design, LESS
Responsibilities
Create and maintain product catalog and technology roadmaps; identify and improve key product catalog metrics; shape product vision using web metrics and customer insights; elicit, define, and analyze medium to complex requirements; establish MVP criteria; lead teams in refining and prioritizing requirements; facilitate requirement walkthroughs; estimate effort and plan work; define and resolve dependencies, issues, and risks; break down product vision into projects and features; align business leaders, engineers, data scientists, legal/compliance, and operations partners; translate technical constraints into business-friendly language.
Seniority
Senior, hands-on IC
