ReflectionAI Logo

ReflectionAI

Data Partnerships & Initiatives Manager

Reposted 23 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
Senior level
In-Office
New York, NY, 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.

HQ

ReflectionAI New York, New York, USA Office

300 Kent Ave, New York, New York, United States, 11249

Similar Jobs

19 Minutes Ago
In-Office
2 Locations
207K-275K Annually
Senior level
207K-275K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead design, build, and operation of a cloud-based VDI platform (Ubuntu and Windows 11). Own cloud infra, Teleport and Okta integration, image pipelines (Packer), config management (Chef/Ansible/Terraform), security agent bake-in, audit logging/SIEM, cost governance, testing, patch cadence, runbooks, and incident response for a production VDI fleet.
Top Skills: AnsibleAWSAzureBashBlastshieldChefCrowdstrikeGCPHp AnywareIamLogging PipelinesMdm/IntuneMfaNetskopeOkta (Saml/Oidc)PackerPcoipPowershellPythonRbacSIEMTeleportTerraformUbuntu LtsWindows 11
21 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
120K-150K Annually
Mid level
120K-150K Annually
Mid level
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
Lead product marketing for Genius Sports' Betting portfolio: develop positioning and messaging, own GTM and launch plans, create sales enablement, gather customer and market insight, drive product adoption and cross-functional alignment, and produce evidence and thought leadership to demonstrate commercial impact.
36 Minutes Ago
Hybrid
New York, NY, USA
221K-295K Annually
Mid level
221K-295K Annually
Mid level
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Lead and grow a hands-on engineering team building Hex's AI context platform. Drive technical strategy, review designs, contribute code, manage and hire engineers, set technical standards, and improve systems for AI agent behavior, context quality, and human-in-the-loop learning on a data-intensive SaaS product.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account