BizOps Associate

Posted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Junior
Artificial Intelligence • Information Technology • Software
The Role
As a BizOps Associate, you'll manage go-to-market strategies, ensure operational excellence, support the founder in daily operations, and tackle important tasks in a startup environment.
Summary Generated by Built In
Overview

Pluralis Research carries out foundational research on Protocol Learning: multi-participant training of foundation models where no single participant has, or can ever obtain, a full copy of the model. The purpose of Protocol Learning is to facilitate the creation of community-trained and community-owned frontier models with self-sustaining economics.

As a Business Operations (BizOps) Associate, you'll build up to owning end-to-end projects across go-to-market, operations, and “the 100 other broken things” that need fixing in a startup. One day, you’ll be managing campaigns directly with our CEO, the next you’ll be fixing a broken integration or engaging with contributors.

This is by no means an easy gig, but it is the best entry point into a startup one could ask for - exposure to all facets of an AI business, working direct with the exec team at a time of rapid growth.

Responsibilities
  • GTM Execution: You want to own and drive go-to-market strategy and execution - supporting our growth and partnerships initiatives.

  • Operational Excellence: Build and maintain operational infrastructure: processes, tooling, reporting. You find something broken, you relish in fixing it.

  • Strategic Projects: Exposure to strategic projects across partnerships, community, marketing and ecosystem development.

  • Business Ops: Directly support our founder & CoS in day to day operations of the business.

  • High Agency: Pick up and run with whatever is the most important task on any given week.

What we’re looking for
  • In General: 1-2 years of experience in management consulting (tier-1), high-growth startup operations, or venture capital.

  • High Agency: Demonstrated bias toward action. You default to doing, not asking for permission.

  • Strong analytical toolkit: comfortable building models, pulling apart data, and synthesising findings into clear recommendations.

  • Excellent written and verbal communication. You can draft a professional memo and rally an executive team behind it.

  • Genuine interest in AI: Whether current models, decentralised systems, or frontier technology. You may be non-technical, but you're curious enough to go deeper than the average person.

Bonus Points
  • Show us what you tinker with that's AI related on weekends

  • Experience with highly complex technical infrastructure

  • Highly succinct in actions and impact

Compensation & Benefits
  • Competitive base salary.

  • Equity that represents meaningful ownership in an early stage startup

  • Remote-first culture

  • Regular cadence of offsites and opportunity to work in the US

  • Direct access to the founder and exposure to every function of the business.

NOTE: This role is only open to candidates with full working rights and based in Australia. Recruiters, please do not reach out - we have this role covered.

Backed by Union Square Ventures and other tier-1 investors, we’re a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolising model development, access and release, and achieving massive economic capture. If this resonates, please apply.

Skills Required

  • 1-2 years of experience in management consulting, startup operations, or venture capital
  • Strong analytical skills to build models and analyze data
  • Excellent written and verbal communication skills
  • Genuine interest in AI and technology
Am I A Good Fit?
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The Company
15 Employees

What We Do

Pluralis is developing a protocol that facilitates collaborative training and ownership of foundation models.

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