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Technical Manager, Strategy Research Analytics

Voleon

$225,000 - $255,000
Dec 22, 2025
Remote, US • Berkeley, CA, US
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Voleon is looking to solve real-world financial problems by applying state-of-the-art machine learning and maintaining and evolving its core analytics pipelines and data models.

Requirements

  • Strong background in modern data infrastructure and modeling (e.g., SQL, Presto, Spark, Dask, Polars)
  • Strong understanding of query optimization and performance tuning in SQL and experience with columnar storage formats (e.g., Parquet, ORC)
  • Demonstrated experience designing normalized and denormalized data structures for analytical workloads
  • Familiarity with AWS cloud technologies and on-prem compute clusters (e.g., Slurm, SSH, Unix)
  • Familiarity with Airflow for data orchestration pipelines
  • Exposure to quantitative research or machine learning environments

Responsibilities

  • Recruit, mentor, and develop a diverse team of engineers and data specialists, starting with a small core team that will grow to meet the evolving needs of the organization.
  • Work with existing stakeholders to define and communicate a long-term strategy for analytics infrastructure and enablement, building a vision that solves real-world problems for our data scientists and extends toward a standardized, industry-class analytics platform
  • Lead team execution in a complex, fast-paced research environment, reducing friction and optimizing workflows
  • Influence laterally across engineering and research teams to align roadmaps, shape priorities, and drive shared goals
  • Ensure robust communication of team progress, creating transparency and credibility with senior stakeholders
  • Oversee consistent, well-documented, and queryable data models that power research today, and extend these frameworks toward the broader vision of a unified analytics platform

Other

  • Bachelor’s degree in Computer Science or equivalent professional experience
  • 3+ years of proven experience managing geographically distributed software engineering teams
  • 3+ years of experience managing engineering or data teams focused on analytics or data infrastructure
  • Demonstrated success managing through ambiguity, influencing without direct authority, and leading complex cross-team initiatives
  • Exceptional stakeholder management and communication skills, capable of clearly articulating vision, progress, and impact