Technical Product Manager, Voltron Data
Data Interfaces
$130-160k
Enterprise support for Apache Arrow
Job no longer available
Enterprise support for Apache Arrow
101-200 employees
Job no longer available
$130-160k
101-200 employees
Company mission
To bring the best of open-source together and build bridges across the data analytics ecosystem with Apache Arrow.
Role
Who you are
- Using SQL, Python, R, or C++ for data analysis, data engineering, data science, or machine learning tasks
- Using dataframe libraries/APIs such as pandas, polars, PySpark, Ibis, or dplyr
- Writing data analytics code that runs locally on small data, and feeling the pain of needing to rewrite it to run on larger data or in a production system
- Writing data analytics queries/code to run on a specific engine/platform, and feeling the pain of needing to rewrite it when migrating to a different engine/platform
- Collecting user/customer feedback and turning it into prioritized, actionable engineering tasks
Desirable
- Designing and implementing data solutions for enterprise customers based on open source standards and technologies
- Balancing the needs of multiple stakeholder groups (internal engineering and product teams, customers, open source communities)
- Managing a product roadmap, defining product acceptance criteria, and successfully launching a technical business-to-business product
- Authoring and maintaining open source projects, especially for Python
- Communicating effectively and empathetically in speech and writing with diverse, globally distributed customers, colleagues, and open source community members
What the job involves
- Deepening your knowledge of dataframe libraries/APIs, with an emphasis on the Python ecosystem (cuDF, Dask, Ibis, Modin, pandas, Polars, PySpark, siuba, Vaex, and others)
- Gaining an understanding of our vision for portable dataframe APIs, including Ibis for Python and dplyr for R
- Learning about the Apache Arrow and Substrait open source projects and the roles they play in enabling portability in dataframe APIs
- Appreciating the constraints, choices, and tradeoffs associated with designing and implementing portable dataframe APIs
- Getting familiar with real-world applications of portable dataframe APIs and observing how they solve problems of scalability, vendor lock-in, and silos
- Within a month:
- Helping to prioritize issues for open source projects including Ibis, Apache Arrow, and Substrait
- Setting up a development environment and making contributions to these projects to help build credibility, trust, and empathy with your engineering colleagues
- Facilitating cross-team communication of product requirements, status, and blockers
- Balancing competing engineering priorities and fostering principled resolutions in alignment with our vision and values
- Empowering our engineering teams with insights into how their work enables our customers and the community to solve real-world problems
- Within 3-6 months:
- Reviewing GitHub pull requests and participating in community discussions
- Helping our go-to-market teams discover new opportunities for applying Ibis, dplyr, and other portable dataframe APIs to solve high-value needs for customers and prospects
- Contributing to the design of Voltron Data commercial products
- Advocating for a magical experience for users of Voltron Data products
- Establishing relationships with system integrator (SI) partners to increase the reach of Voltron Data products
- Within 12 months:
- Working with our go-to-market teams to deliver compelling presentations of Voltron Data products to prospective customers and partners
- Helping to run pilot programs of pre-release products
- Planning the timing and scope of product releases
- Gathering feedback from customers and partners and using it to improve our product vision and execution continuously
Our take
Voltron Data offers enterprise support to companies using the increasingly popular open source Apache Arrow software development platform. Its flagship service is designed specifically for companies that wish to leverage the power of Apache Arrow, but are unable or unwilling to handle the intricacies of Arrow.
The strong links to Apache Arrow are easy to explain, as co-founders Wes McKinney and Joshua Patterson were heavily involved in the creation and rise in popularity of the Apache Arrow project. In a way, a major part of Voltron Data’s remit is to promote the software development platform, while making it more palatable and user-friendly for customers.
With the likes of Google and Microsoft now adopting Apache Arrow into their own projects, Voltron Data has been able to attract incredible amounts of investment, despite only launching its first commercial product in early 2022. Voltron Data has focused on growing all aspects of its team and acquired real-time AI platform startup Claypot AI in 2024, indicating that it's maintaining its momentum.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (2 rounds)
Feb 2022
$88m
SERIES A
Feb 2022
$22m
SEED
Total funding: $110m
Company benefits
- Work from Anywhere - Payroll and Benefits in 150+ Countries
- Unlimited PTO
- Medical, Dental, and Vision
- Retirement [USA Only]
- Home Office Budget
- Continuing Education Budget
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Joshua Patterson
(CEO)Former Data Science Principal at Accenture Technology Labs, former Senior Director for Rapids.ai, an end to end platform for accelerating data science on NVIDIA GPU.
Wes McKinney
(Senior Advisor)Before co-founding Voltron Data, they were a part of the Project Management Committee for the creation of the Apache Arrow project. Creator of the Python pandas project, which made Python the go-to language for data science, machine learning and AI.
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