We are seeking an experienced AI Product Manager to lead AI-focused product enablement and adoption initiatives across our global organisation. The ideal candidate will have a mix of technical experience in AI/ML/LLM products and APIs, process automation, and proficiency in survey design and data analytics.

Key Responsibilities:

Awareness of AI Ecosystem and Trends: Use Claude Code / Codex / Cursor / etc. as well as skills in these tools. Follow developments among major players in the commercial and open-source AI/LLM space, including Anthropic, OpenAI, Google, xAI, and others.

Communication: Communicate clearly and effectively with internal and external vendors and stakeholders about requirements, feature requests, scope, expectations, priorities, product releases, and timelines. Generate clear, consistent, and accurate documentation about products, tradeoffs, decisions, and value proposition of various efforts.

AI Product Enablement and Adoption: Conduct consulting-style engagements with technical and non-technical teams to onboard them with AI tools and products available within Millennium. Collaborate with users to understand pain points, needs, feature requests, and requirements to design and execute product development with usability and scalability in mind.

Feedback Collection and Data Analytics: Analyze usage and feedback data with accuracy and quality using SQL and Python to identify trends, gaps, and opportunities for product improvements. Use insights from your analysis to refine product roadmaps and enablement initiatives to maximise impact across the firm.

Qualifications:

Education: Bachelor's degree or higher in Computer Science, Data Science, Engineering, or a related technical field. Must have technical knowledge and experience.

Experience: 5-7+ years of experience in a combination of AI/ML/LLM engineering, startup, technical education, consulting, data science, product analytics, or product management roles. Some technical / engineering / building experience is a hard requirement, e.g. you must be able to use the CLI and analyse data.

Technical Proficiency: Strong knowledge of AI/ML concepts, especially Large Language Models (LLMs). Understanding of their capabilities and failings as a technology. Proficiency in SQL and Python for data analysis and visualisation. Proficiency in survey software and analytics tools (e.g. Qualtrics). Strong familiarity with effective SDLC and CI/CD principles.

Product Management: Proven ability to use clear judgment and organisational skills to manage complex, cross-functional products involving technical and non-technical teams. Intellectual curiosity and strong aptitude for prioritisation.

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In this role, you'll oversee the product roadmap for your data vertical, owning 'data as a product', pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments.

You'll work directly with Scale's most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps.

The ideal candidate brings together a strong entrepreneurial & go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes.

Responsibilities:

• Own the roadmap for the Agent & RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams.

• Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical.

• Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities.

• Scope out and scale the creation of RL environments that simulate real-world use cases.

• Collaborate cross-functionally, influencing business priorities and diving in the weeds of research, operations, and customer interactions.

Ideally, You'd Have:

• Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up.

• 6+ years of experience in product management or a customer-facing role.

• Technical fluency: Software engineering background (a degree in computer science or equivalent experience).

• Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation

• Strong customer intuition and the ability to translate technical requirements into impactful product decisions.

• Bias for action and comfort wearing multiple hats and operating in fast-moving environments.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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