Data Partnerships & Initiatives Manager

About the role

The role is a key member of the Research Lab, focusing on developing and managing the data strategy to ensure the models reflect the latest advancements in AI research.

Responsibilities

• Develop a deep understanding of Reflection’s research, product, and business roadmap.
• Work closely with researchers to translate the roadmap into data needs and quality requirements, then design sourcing strategies and pipelines.
• Evaluate suppliers, negotiate agreements, and verify deliverables for new initiatives and partnerships.
• Lead cross-functional efforts to maximize research velocity while maintaining data quality.
• Build deep knowledge of the broader data ecosystem to identify gaps and opportunities.
• Understand what makes training data genuinely good and reliably deliver it.

Requirements

• 6+ years of experience in business operations, strategy, venture capital, private equity, or consulting.
• Highly analytical with strong intuition for important questions and clear communication skills.
• Experience with data analysis tools such as SQL, Python, Tableau, Excel, or similar.
• Genuinely curious about LLM training and deeply concerned about the impact of AI.

Qualifications

• Technical depth to understand what makes training data genuinely good.
• Resourcefulness and creativity to reliably deliver data.
• Comfortable engaging senior leaders and influencing decisions.
• Fast-paced environment with a sense of urgency and adaptability.
• Track record managing large, diverse pools of vendors and external contractors.
• Experience working directly on data collection, labeling, or annotation for training LLMs.
• Embedded with or supporting research teams at a frontier lab, AI company, or research-driven organization.
• Founding a tech startup and navigating the zero-to-one and rapid scaling process.
• A technical background such as a CS degree and/or experience in engineering, product, data science, or AI.
• Consulting background and ability to translate complex requirements into concrete deliverables.

Benefits

Top-tier compensation, stock options, comprehensive health & wellness benefits, free meals, generous parental leave, unlimited vacation days, sponsorship support, and team building activities.

Pay

Competitive salary and equity structure.

Schedule

Full-time position.