Eventual

Data Warehouse for ML/AI

Business Operations Manager

$120K - $170K / 0.10% - 0.50%
Location
San Francisco
Job Type
Full-time
Experience
3+ years
Connect directly with founders of the best YC-funded startups.
Apply to role ›
Sammy Sidhu
Sammy Sidhu
Founder

About the role

About Eventual

Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI.

OUR PRODUCT IS OPEN-SOURCE AND USED AT ENTERPRISE SCALE

Our distributed data engine Daft is open-sourced and runs on 800k CPU cores daily. This is more compute than Frontier, the world's largest supercomputer!

Daft is used at leading AI/ML companies such as Amazon, TogetherAI, EssentialAI, CloudKitchens and more. It makes ML/AI workloads easy and performant to run alongside traditional relational tabular workloads.

Today's “Big Data” data tooling (Spark, Trino, Snowflake) was built for a world of tabular data analytics. They do not generalize well to the needs of modern ML/AI data workloads. We built Daft to be the successor to these Big Data technologies along these core principles:

Python-native: Python is the native language of ML/AI and most of data engineering today

First-Class Local Development UX: Interactive development in a local Python notebook or script is where the magic happens

Multimodal Data Support : Modern workloads require support for operations on complex types such as long-form text, images, tensors and more

Heterogenous Compute (GPUs): GPUs are a requirement for workloads that perform model batch inference as part of the overall query

Role Overview
As our Business Operations Manager , you will ensure the smooth running of day-to-day operations while tackling a variety of ad hoc projects—from setting up budgets and managing vendor relationships to establishing operations for new initiatives. This role calls for a proactive, problem-solving mindset and the ability to collaborate cross-functionally with Product, Engineering, Sales, and Finance.

Key Responsibilities

  • Daily Operations: Oversee and refine operational processes, swiftly addressing issues as they arise.
  • Ad Hoc Projects: Handle diverse tasks such as setting up operational budgets, building processes in new geographic locations, managing vendor contracts, and assisting with compliance.
  • Process Optimization: Identify workflow bottlenecks and implement improvements to enhance efficiency and scalability.
  • Financial & Strategic Support: Assist in financial planning, resource allocation, and performance metrics tracking; create reports and dashboards for leadership decision-making.

Desired Skills & Experience

  • Experience: 2–5+ years in business operations, finance, venture capital, consulting, or a related field. Experience in startups or tech is highly preferred.
  • Analytical Aptitude: Proficient in spreadsheet modeling; knowledge of SQL or BI tools is a plus.
  • Project Management: Able to juggle multiple projects and priorities in a fast-paced, dynamic environment.
  • Communication & Collaboration: Clear communicator who thrives working cross-functionally and building strong stakeholder relationships.
  • Proactive & Flexible: Comfortable adapting to evolving business needs; a “no task is too small” attitude is essential.

Why Join Us?

  • High Impact: Take ownership of critical operational initiatives at an early-stage startup.
  • Growth & Development: Gain exposure to all facets of the business and advance your career in data and AI.
  • Innovative Culture: Work with a talented, passionate team committed to collaboration, learning, and pushing boundaries.
  • Competitive Package: Enjoy a competitive salary, meaningful equity, and great benefits such as fully covered health, vision and dental insurance as well as a 401k plan with matching.

If you’re excited to drive our day-to-day success and tackle diverse operational challenges in a rapidly scaling AI and data-focused environment, we’d love to hear from you!

About Eventual

Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI.

Our product is open-source and used at enterprise scale

Our distributed data engine Daft is open-sourced and runs on 800k CPU cores daily. This is more compute than Frontier, the world's largest supercomputer!

Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms.

Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads.

We're growing - come grow with us!

We are well funded by investors such as YCombinator, Caffeinated Capital, Array.vc and top angels in the valley from Databricks, Meta and Lyft.

Our team has deep expertise in high performance computing, big data technologies, cloud infrastructure and machine learning. Our team members have previously worked in top technology companies such as AnyScale, Tesla and Lyft.

We are looking for exceptional individuals with a passion for technology and a strong sense of intellectual curiosity.

If that sounds like you, please reach out even if you don't see a specific role listed that matches your skillsets - we'd love to chat!

Eventual
Founded:2022
Team Size:5
Status:
Active
Location:San Francisco
Founders
Jay Chia
Jay Chia
Founder
Sammy Sidhu
Sammy Sidhu
Founder