Data Partnerships & Initiatives Manager

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. Data is playing an increasingly crucial role at the frontier of AI innovation. In this role, you will design and deliver data strategy and partnerships that directly shape how our models perform on critical capabilities — agentic tool use, long-horizon reasoning and robust safety alignment.

Responsibilities

Develop a deep understanding of Reflection's research, product, and business roadmap and work closely with researchers to translate that into data needs and quality requirements, then design the sourcing strategies and pipelines that meet them; Own new initiatives and partnerships end-to-end: evaluating suppliers, negotiating agreements, and verifying deliverables; Build deep knowledge of the broader data ecosystem to spot gaps before they become blockers and opportunities that contribute to our edge

Requirements

6+ years of experience in business operations, strategy, venture capital, private equity or consulting (or high-trajectory candidates with fewer years and exceptional track record, often former tech startup founders); Owned large ambiguous problems end-to-end and can break them down into clear actionable plans; Comfortable engaging senior leaders, influencing decisions and driving alignment across teams; Thrive in fast-moving, high-pressure environments, bringing resourcefulness, adaptability and ideally a sense of humor; Highly analytical with strong intuition for what are the important questions, rigorous in investigating and clear in communicating insights to decision-makers; Experience with data analysis tools such as SQL, Python, Tableau, Excel or similar; Genuinely curious about LLM training and care deeply about the impact of AI on business, research and society

Nice to have

Founded a tech startup and navigated zero-to-one and rapid scaling firsthand; Technical background such as a CS degree and/or experience in engineering, product, data science or AI; Worked directly on data collection, labeling, or annotation for training LLMs; Embedded with or supported research teams at a frontier lab, AI company or research-driven organization; Track record managing large, diverse pools of vendors and external contractors; Consulting background and know how to translate complex requirements into concrete deliverables

Benefits

Top-tier compensation: Salary and equity structured to recognize and retain talent globally; Stock options; Comprehensive medical, dental, vision, and life insurance; Annual wellness allowance; Lunch and dinner provided in the office daily; 22 weeks paid parental leave for all new birthing and non-birthing parents; Unlimited paid time off in the U.S. and 30 days in the U.K.; Visa sponsorship; Regular off-sites, happy hours, and team celebrations