Director, Product Management – ML Platform at Jobgether – United States
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About This Position
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Product Management – ML Platform in United States.
This senior leadership role sits at the core of a high-scale machine learning ecosystem powering performance-driven mobile advertising. The position is responsible for defining and executing the strategy for ML infrastructure that enables model training, deployment, and iteration across a complex, data-intensive environment. Acting as a player-coach, the Director will balance strategic platform vision with hands-on product execution while directly mentoring a small team of product managers. The role requires deep technical fluency and the ability to translate ML and infrastructure complexity into clear product direction and priorities. Working cross-functionally with engineering, data science, finance, and product teams, this leader ensures platform reliability, scalability, and cost efficiency. It is a highly visible role with significant influence on the future of ML capabilities and infrastructure evolution.
- Own the end-to-end product vision, strategy, and roadmap for the ML Platform, including backend infrastructure supporting large-scale model training, deployment, and iteration cycles.
- Lead, mentor, and develop a team of Product Managers while driving a player-coach approach across strategic planning and execution.
- Drive platform initiatives such as batch and streaming infrastructure, reliability and uptime improvements, cost visibility, and system hardening for production-scale ML systems.
- Partner closely with ML and engineering teams to translate technical constraints and requirements into prioritized, executable roadmaps and product specifications.
- Collaborate with Finance and business stakeholders to define, track, and optimize infrastructure cost efficiency and resource allocation.
- Define and monitor platform KPIs including reliability, cost performance, and model enablement metrics to drive continuous improvement.
- Establish scalable product management frameworks and operating models for ML platform development and long-term organizational growth.
- 8+ years of product management experience, including at least 3 years focused on ML infrastructure, backend systems, or data platforms and 2+ years in people management.
- Strong technical depth in machine learning infrastructure, including model pipelines, feature stores, distributed systems, batch/streaming architectures, and production-scale deployment.
- Proven ability to operate as a player-coach, balancing strategic roadmap ownership with hands-on technical execution and detailed product work.
- Experience partnering with engineering, data science, and finance teams to align on infrastructure priorities, cost optimization, and system performance.
- Strong analytical thinking and stakeholder management skills, with the ability to prioritize competing demands across multiple technical teams.
- Excellent communication skills, able to translate complex technical concepts into clear, actionable direction for both technical and non-technical audiences.
- Degree in Computer Science, Engineering, or related technical field; advanced degree preferred.
- Competitive base salary ranging approximately from $239,000 to $320,000 depending on location and experience.
- Equity participation and performance-based compensation opportunities.
- Comprehensive health, dental, and vision insurance coverage.
- Retirement savings plan and additional financial benefits.
- Remote-first flexibility within the United States, with optional access to office hubs.
- Annual travel opportunities for team and company-wide in-person collaboration.
- Wellness, learning, and professional development support.
- Inclusive, innovation-driven culture focused on high-impact ML and product development.