ReflectionAI Logo

ReflectionAI

Data Partnerships & Initiatives Manager

Reposted 14 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
The Data Operations Manager will build data operational infrastructure to enhance AI models, manage partnerships, and align data quality with research needs.
The summary above was generated by AI
Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

Role Overview

Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.

In this role, what you build and the partnerships you create will directly shape how our models perform on critical capabilities — agentic tool use, long-horizon reasoning and robust safety alignment. You'll work with world-class researchers advancing the frontier of AI to design our data strategy and deliver it.

What You'll Do

  • Develop a deep understanding of Reflection's research, product, and business roadmap. 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. Lead cross-functional efforts to maximize research velocity without compromising data quality.

  • Build deep knowledge of the broader data ecosystem to spot gaps before they become blockers and opportunities that contribute to our edge. You'll need the technical depth to understand what makes training data genuinely good and the creativity and resourcefulness to reliably deliver it

What We’re Looking For

  • 6+ years of experience in business operations, strategy, venture capital, private equity or consulting. We will also consider high-trajectory candidates with fewer years of experience and an exceptional track record – often former tech startup founders.

  • 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.

  • 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.

Bonus Points:

  • You've founded a tech startup and navigated the zero-to-one and rapid scaling firsthand

  • You have a technical background: such as a CS degree and/or experience in engineering, product, data science or AI.

  • You've worked directly on data collection, labeling, or annotation for training LLMs

  • You've embedded with or supported research teams at a frontier lab, AI company or research-driven organization.

  • You have a track record managing large, diverse pools of vendors and external contractors.

  • You come from a consulting background and know how to translate complex requirements into concrete deliverables.

What We Offer:

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

  • Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.

  • Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.

  • Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.

  • Meals: Lunch and dinner are provided in the office daily.

  • Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.

  • Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.

  • Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.

  • Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

Similar Jobs

2 Minutes Ago
Hybrid
Senior level
Senior level
Financial Services
Leads design and development of real-time, mission-critical software using Java and Kafka. Provides technical leadership across system design, application development, testing, cloud-native delivery, resiliency, security, and performance optimization. Promotes AI-assisted engineering practices, validates AI outputs, evaluates architecture and vendors, and mentors teams through communities of practice. The role operates within an agile financial services technology environment.
Top Skills: AWSCi/CdJavaKafkaPythonSpringTerraform
17 Minutes Ago
Hybrid
Senior level
Senior level
Financial Services
Leads design, development, testing, troubleshooting, and operational stability for real-time, mission-critical Python systems. Drives AI-assisted engineering practices, cloud-native delivery, automation, resiliency, security, and performance optimization. Evaluates architecture and technology with vendors and internal teams, leads software engineering communities of practice, and coaches engineers on responsible, secure, and compliant use of AI tools and large language models.
Top Skills: AWSChatgptCi/CdClaudeGraph TechnologiesLarge Language ModelsPythonRagTypescriptVector Databases
38 Minutes Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
66K-88K Annually
Junior
66K-88K Annually
Junior
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Premier Support Engineers at Datadog engage with clients to provide technical support, develop relationships, and drive product discussions while working in a fast-paced environment.
Top Skills: Datadog IntegrationsLinuxSaaS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account