AI Product Manager

About the role

In this early-career AI Product Manager role at Scale AI, you will own the strategy and execution for data verticals that power multimodal, coding, agentic, and reinforcement learning models. You will transition from contributor to full product manager by taking ownership of product discovery, roadmap execution, and cross-functional alignment within the Multimodal & Coding AI Data team. You will act as the primary liaison between engineering, research, and business stakeholders to ensure data products meet both customer needs and technical feasibility. This position requires a bias for action, where you will drive decisions based on data quality analysis, market research, and direct customer feedback. You will manage program milestones, risks, and dependencies to ensure deliverables align with customer commitments and internal objectives. Over time, you will gain deep expertise in frontier AI models and agent systems, gradually expanding your influence on product strategy and long-term vision. You will contribute to building new evaluation workflows, tooling, and data products that define industry standards for AI training and validation. This role is designed for a high-ownership individual who thrives in fast-paced environments and is comfortable navigating ambiguity while maintaining rigorous standards for quality and execution.

Key facts

What you'll do

• Partner with senior product managers to execute strategies for coding, agentic, and RL data products, translating high-level goals into actionable plans.
• Manage cross-functional projects across engineering, research, operations, and go-to-market teams, ensuring alignment on priorities and timelines.
• Oversee program milestones, risks, and dependencies to ensure deliverables meet customer commitments and internal quality standards.
• Assist with customer engagements by preparing documentation, managing requirements, and coordinating follow-up actions to resolve issues.
• Define data specifications and analyze quality to improve product performance and operational workflows, using quantitative and qualitative insights.
• Perform competitive, market, and customer research to guide roadmap decisions, identifying gaps and opportunities in the AI data landscape.
• Contribute to building new evaluation workflows, tooling, and data products, iterating based on feedback from internal and external stakeholders.
• Gain expertise in frontier AI models and agent systems, gradually taking on more ownership of product strategy through mentorship and hands-on work.
• Collaborate with data scientists and engineers to design experiments that validate product hypotheses and measure impact on model performance.
• Act as a product owner for specific data products, prioritizing features based on business value, feasibility, and user needs.
• Facilitate stakeholder meetings to gather requirements, clarify expectations, and ensure transparency across teams.
• Track key metrics for data quality, model performance, and customer satisfaction to inform continuous improvement initiatives.
• Support the development of internal tools that streamline data preparation, labeling, and evaluation processes.
• Represent the product vision in discussions with customers and partners to ensure alignment with market demands.

Requirements

• 1 to 3 years of experience in product operations, project management, technical account management, consulting, or customer success, demonstrating a track record of delivering results in cross-functional settings.
• Bachelor degree in Engineering, Computer Science, Business, or a related field, or equivalent practical experience that demonstrates foundational knowledge in technical or business domains.
• Strong organizational abilities to handle multiple stakeholders and projects simultaneously, with the capacity to prioritize competing demands effectively.
• Proven track record of driving projects to completion within cross-functional teams, showing accountability for outcomes and dependencies.
• Excellent verbal and written communication skills, with the ability to articulate complex concepts to both technical and non-technical audiences.
• High level of ownership, bias for action, and comfort working in fast-paced environments where priorities may shift rapidly.
• Technical curiosity regarding machine learning, coding, and AI systems, with a willingness to learn deeply about data workflows and model behavior.
• Ability to work independently and collaboratively, balancing autonomy with the need to align closely with team objectives and standards.

Nice to have

• Prior experience working directly with customers or technical teams, including roles in customer success, technical support, or solutions engineering.

Practical notes

Compensation includes base salary, equity, and benefits. Benefits include health, dental, and vision coverage, retirement plans, a learning and development stipend, generous PTO, and potential commuter stipends. Scale AI maintains a 90-day waiting period for candidates who have previously applied for the same role. Applicants requiring reasonable accommodations due to a disability may contact accommodations@scale.com.