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Reflection
San Francisco, California, United States; London, England, United Kingdom; New York City, New York, United States
Source: Reflection careers · View original posting
From Reflection's posting. “We” and “our” refer to the employer.
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.
Reflection is building the trusted data backbone for the world's most capable open-weight AI systems. The Data Platform team builds and operates the core data systems and pipelines that power our research, training, and production environments unifying ingestion, processing, and orchestration across the entire data lifecycle so every team can move faster.
We're looking for a front-line technical leader to build, mentor, and grow this team. You'll guide its technical direction while staying hands-on this is a role for someone who has earned deep technical credibility as an engineer and now multiplies it through a team. You'll work closely with our research team to understand what high-velocity experimentation actually needs, and turn that into reliable, reproducible, scalable data infrastructure.
Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub
data lake and warehouse architectures, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake
lineage systems, metadata management, Great Expectations, reproducibility systems
partitioning strategies, clustering, cost optimization, SLA-driven pipelines
8+ years of engineering experience with a strong data engineering foundation — you've shipped and owned production-grade pipelines at large scale (tens of TBs to PBs daily).
A track record as a staff/principal-level individual contributor before moving into leadership — you earn the technical trust of a strong team.
You've managed and grown a team (~5–10), or clearly demonstrated the leadership readiness to build one quickly — while staying technically embedded.
Deep in at least one of: ingestion & orchestration at scale, storage and processing engines (lakehouse formats, query engines), or data quality/lineage/reproducibility systems — with working breadth across the others.
Fluent in the modern data stack; you've built new systems from zero rather than maintained legacy ones.
Thrive in a high-agency, fast-paced environment; bias toward action and impact.
Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.
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.
Salary and equity structured to recognize and retain our talent globally.
Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Lunch and dinner are provided in the office daily.
22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Unlimited paid time off in the U.S. and 30 days in the U.K.
We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
We have regular off-sites, happy hours, and team celebrations.
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.
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