# Senior Product Manager, Machine Learning

**Company:** [Baton](https://hotfix.jobs/companies/baton)
**Location:** San Francisco, CA
**Role:** Product Management
**Salary:** $190k – $240k/yr
**Experience:** 6+ years
**Skills:** Machine Learning, Generative AI, MLOps, ML Infrastructure, Product Strategy, Roadmap Prioritization, Eta Prediction, Mathematical Optimization, Data Science, B2B SaaS
**Posted:** 2026-08-25

> Own the strategy, roadmap, and delivery of Baton’s machine learning and AI product portfolio, taking initiatives from proof of concept through production. The role requires strong product management experience, ML/AI fluency, and the ability to partner across technical and business teams.

## Job Description

## Responsibilities
- Lead the full product development lifecycle from need-finding through product vision and execution.
- Own product strategy and roadmap prioritization for the machine learning pod’s model and AI initiative portfolio.
- Improve ETA prediction accuracy and other model metrics.
- Identify technological constraints limiting business-unit growth.
- Develop proposals and research strategies for short-term roadmaps and long-term product vision.
- Partner with design on prototyping and early ideation across logistics workflows.
- Collaborate with ML and infrastructure engineers and data scientists to prioritize work based on business impact.
- Define go-to-market and adoption plans for AI capabilities.
- Execute cross-department initiatives and shape the long-term AI/ML product vision.

## Requirements
- Experience owning product strategy and roadmaps for technically complex or ML/AI-driven products.
- Experience building 0-to-1 products and delivering strong user experiences or business outcomes.
- Track record of shipping traditional machine learning or generative AI products.
- Experience taking initiatives from proof of concept through production, monitoring, and maintenance.
- Fluency in ML/AI concepts sufficient to prioritize effectively and earn engineering trust.
- Ability to assess whether AI is appropriate and identify suitable approaches, including mathematical optimization, traditional ML, and generative AI.
- Experience working with cross-functional and technical stakeholders.
- Ability to execute with minimal guidance.
- Strong data-driven analytical skills.

## Nice-to-haves
- 6+ years of experience.
- 4+ years of product management experience.
- Experience in ambiguous, dynamic, fast-growing startup environments.
- Experience in B2B SaaS, freight, logistics, manufacturing, or another operationally complex industry.
- Experience partnering with MLOps or ML infrastructure teams.

## Compensation & Benefits
- Annual base salary: **$190,000–$240,000 USD**.
- Annual performance bonus and cash bonus structure.
- Long-term incentive plan.
- 401(k) with matching.
- Hybrid work schedule.
- Medical, dental, and vision coverage.
- Employee stock purchase program with a 15% discount.
- Collaborative office in Hayes Valley, San Francisco.

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