Reflection AI · 19 hours ago
Data Operations Manager
San Francisco, CA
Full-time
Onsite
Senior Level
6+ years expReflection AI is focused on building open superintelligence and making it accessible to all. The Data Operations Manager will develop operational infrastructure to enhance model performance and work closely with researchers to address data needs and partnerships.
Computer Software
Responsibilities
Develop a deep understanding of Reflection’s research, product and business roadmap and derive from these the data needs and sourcing strategies
Work closely with researchers to understand nuanced technical requirements, define quality bars, then orchestrate partnerships and data pipelines that meet them
Lead cross-functional efforts to maximize research velocity without compromising in the quality of data partnerships
Manage these partnerships including evaluating suppliers, negotiating agreements, and verifying deliverables
Develop deep knowledge of the broader data ecosystem to identify gaps and opportunities to innovate at the frontier
Combine the technical depth to understand what makes high-quality training data with the operational excellence to deliver it
Anticipate and resolve bottlenecks, risks and inefficiencies across data operations to maximize throughput and impact
Qualification
Required
6+ years of experience in business operations, strategy, venture capital, private equity or consulting
Have owned large ambiguous problems end-to-end and can break them down into clear actionable plans
Are 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 to pair with the sense of urgency
Are highly analytical with strong intuition for what are the important questions, rigorous in investigating and clear in communicating insights to decision-makers
Can operate at all levels from discussing strategy and vision with leadership, to troubleshooting issues with individual contributors and external partners
Communicate clearly and collaborate effectively across technical and non-technical domains
Have experience with data analysis tools such as SQL, Python, Tableau, Excel or similar
Are genuinely curious about LLM training, and care deeply about the impact of AI on business, research and society
Preferred
A technical background such as a computer science degree and/or experience in engineering, product, data science or AI
Direct experience with data collection, labeling, or annotation for machine learning / AI systems
Worked with research teams at AI companies or research-oriented organizations
A track record of managing large numbers of diverse vendors and external contractors
A consulting background, with experience translating complex requirements into concrete deliverables
Benefits
Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Company
Reflection AI
Frontier open intelligence accessible to all. Our team previously built frontier LLMs at labs like DeepMind, OpenAI, and Anthropic.
11-50 employees
H1B Sponsorship
Reflection AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
Funding
Current Stage
Early StageCompany data provided by crunchbase