Business Operations Manager
Eventual
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.
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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.
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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!