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Jobs · Marketing · Illinois

Product Manager, Data Science Platform (AI/ML)

project44 · Chicago, IL · 6 days ago
On-siteMarketingFull-time

About the role

The Product Manager will own the roadmap for applied ML capabilities beyond ETA (risk scoring, exception prediction, anomaly detection, carrier/network performance insights), from discovery to launch and iteration. They will define and deliver a Data Science and Machine Learning (DS/ML) platform, including feature management, experimentation, model registry, deployment patterns, monitoring/observability, governance, and self-serve tooling. This role requires strong technical fluency across the ML lifecycle and the ability to operate between Senior and Principal levels.

Responsibilities

  • Translate customer workflows into ML problem statements: labels/targets, constraints, SLAs, interpretability, and “do no harm” launch gates.
  • Drive evaluation and experimentation: offline metrics/back testing, online testing (A/B, holdouts), and measurable business impact.
  • Partner with engineering on batch + real-time inference architectures, streaming/event-time feature needs, and reliability (SLOs, incident playbooks).
  • Establish and track platform success metrics: time-to-first-model, deployment frequency, reuse rate, model performance stability, incident rate, and ROI.

Requirements

  • 5–8+ years Product Management experience with 3–4+ years focused on DS/ML-driven products (or equivalent)
  • Demonstrated ability shipping end-to-end ML systems to production and iterating based on outcomes
  • Strong technical fluency across the ML lifecycle (data → features → training → serving → monitoring → retraining)
  • Able to operate between Sr and Principal: sets direction, aligns stakeholders, and drives execution across multiple teams
  • Excellent written communication (PRDs, decision docs) and crisp cross-functional leadership

Qualifications

  • Experience in logistics / supply chain / transportation or other high-volume operational domains
  • Familiarity with geospatial/event-time data, carrier APIs/EDI, entity resolution, and enterprise exception workflows
  • Platform product experience with internal “developer” customers and adoption metrics

Skills

  • SQL (strong) and working knowledge of Python / notebooks / data analysis workflows
  • Data platforms: Snowflake / BigQuery / Redshift / Databricks (Delta Lake)
  • Orchestration & ETL: Airflow / Dagster / Prefect, dbt, Spark
  • Streaming/event systems: Kafka / Kinesis / Flink
  • MLOps: experiment tracking/model registry (MLflow / Weights & Biases), pipelines (Kubeflow / SageMaker Pipelines / TFX / Flyte/ Tensor flow), serving (SageMaker / Vertex AI / Databricks Model Serving / KServe / BentoML)
  • Feature stores: Feast / Tecton / SageMaker Feature Store
  • Monitoring/observability: Arize / WhyLabs / Evidently + Prometheus/Grafana/Datadog
  • Platform fundamentals: Docker/Kubernetes, API design (REST/gRPC), SLAs/SLOs, security & PII basics
  • LLMs/GenAI (RAG, embeddings, vector DBs like Pinecone/Weaviate/Milvus), evaluation + guardrails

Benefits

Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters four days a week. Together, we’re building something extraordinarily learn, grow, and thrive in our fast-paced, transformative environment.

Pay

N/A

Schedule

N/A

Equal Opportunity Employer

We are an equal opportunity employer actively working on creating a diverse and inclusive work environment where underrepresented groups can thrive.

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