# Director, Product Management – ML Platform

**Company:** [Liftoff](https://hotfix.jobs/companies/liftoff)
**Location:** Remote
**Role:** Product Management
**Salary:** $239k – $320k/yr
**Experience:** 8+ years
**Skills:** ML Infrastructure, Model Training Pipelines, Feature Stores, Batch Processing, Streaming Data Systems, Distributed Computing, No-Fault Systems, Product Roadmap, Stakeholder Management, KPIs
**Posted:** 2026-04-20

> Leads product strategy, vision, and execution for ML platform infrastructure, mentoring PMs while driving initiatives in model scaling, reliability, and cost efficiency. Requires 8+ years PM experience with 3+ in ML infra and deep technical fluency in ML systems.

## Job Description

## Key Responsibilities

- Own the holistic product strategy, vision, and roadmap for the ML Platform, including backend infrastructure required to run ML models at scale and support new model iterations.
- Lead, mentor, and develop two IC Product Managers.
- Drive execution of major platform initiatives including batch processing infrastructure, infrastructure cost visibility and R&D strategy, and platform hardening for reliability and uptime.
- Partner closely with multiple ML teams to understand their constraints, dependencies, and requirements, translating them into actionable engineering specifications and prioritized roadmaps.
- Collaborate cross-functionally with Finance to set and track infrastructure cost targets, and with Product Managers across adjacent areas to align on shared platform needs.
- Establish and monitor platform KPIs around reliability, cost efficiency, and model enablement, driving continuous improvement.
- Architect and evolve the product function for ML Platform, establishing practices, frameworks, and ways of working that scale with the team.
- Serve as the primary product stakeholder voice for no-fault systems and new model type support, ensuring the platform meets the demands of next-generation ML development.

## Qualifications

- **8+ years** of experience in product management, with at least **3 years** focused on ML infrastructure, backend systems, or data platform products and **2 years** of management experience.
- Proven experience as a player/coach: capable of setting strategic direction while remaining hands-on with technical specifications and day-to-day execution.
- Deep technical fluency in ML infrastructure concepts: **model training pipelines**, **feature stores**, **batch and streaming data systems**, and **distributed computing**.
- Strong stakeholder management skills — ability to gather, synthesize, and prioritize needs across multiple ML and engineering teams with competing priorities.
- Experience collaborating with Finance or business operations teams on infrastructure cost management.
- Excellent written and verbal communication skills; able to operate effectively across technical and non-technical audiences.
- **Bachelor's degree** in Computer Science, Engineering, or a related technical field. **Master's preferred**.

## Preferred Experience

- Experience architecting or significantly influencing the design of ML platform infrastructure.
- Familiarity with **no-fault system design** and high-availability production environments.
- Experience building or scaling a product management function within a technical domain.

## Compensation

Base salary ranges:
- SF Bay Area/Los Angeles/Orange County/Seattle: **$260,000 to $320,000**
- All other locations in approved states: **$239,000 to $294,000**

Includes equity and health/vision/dental benefits.

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