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About the Role

As our Founder Associate, you will work directly with the founders and Chief of Staff to shape and execute initiatives that drive company growth. You will gain ownership of business functions, with broad exposure across the company, from strategy to execution. You will pick up ownership across Growth, Sales & Enablement, Marketing & Community, and People Ops based on company needs and your strengths, focusing on areas where you can make the most impact. The role is AI-first, emphasizing building systems to automate tasks.

Responsibilities

Own the inbound pipeline end to end, including qualification, enrichment, scoring, and routing.
Identify and remove manual steps in the pipeline process, such as improving scoring, routing, and automation.
Build pipeline reporting for founders and the sales team.
Test new channels, including data sources, outbound strategies, and paid experiments.
Own tracking and attribution to understand pipeline sources.
Automate call preparation for the sales team with short briefings.
Own sales decks, case studies, battle cards, and demo assets.
Manage Proof of Concepts (POCs) by tracking milestones, follow-ups, and next steps.
Convert closed deals into reference stories and case studies.
Automate recurring workflows by identifying and implementing solutions.
Build agents and automations across the HRIS, CRM, Notion, and Slack stack.
Own the internal tooling landscape, including selection, integration, and usage.
Prototype solutions quickly, prioritizing working scripts over perfect systems.
Ship tools that are used daily by the entire company.
Assist in opening new offices and setting up operations in new countries.
Own the end-to-end onboarding process from contract signing to the first week.
Redesign and implement improvements for existing people processes.
Ensure the HRIS is the single source of truth through automation.
Manage the operational aspects of hiring, including scheduling, candidate communication, and interview logistics.

Requirements

A Bachelor's or Master's degree in Business Administration, Computer Science, Data Science, or a related field, or equivalent practical experience.
1-2 years of experience in consulting, venture capital, start-ups, or similar roles.
An AI-first approach to work, including exploring new tools and understanding where they save time.
High agency and the ability to ship quickly, iterate, and proactively identify tasks.
Strong analytical and problem-solving skills with a focus on execution.
Structured and reliable approach to owning responsibilities.
Exceptional written and verbal communication skills in English.
Experience working in or with early-stage startups.
Proven ability to build automations, agents, or internal tools that are utilized.
Background in machine learning, data science, or related technical fields.
Familiarity with open source, foundation models, or data science ecosystems.
Proven ability to manage cross-functional projects or initiatives.
Interest or experience in sales enablement, content creation, or community building.

Skills

AI-first working
High agency
Analytical skills
Problem-solving skills
Execution focus
Structured thinking
Reliability
Written communication
Verbal communication
Automation building
Agent development
Internal tool creation
Machine learning
Data science
Open source familiarity
Foundation model familiarity
Data science ecosystem familiarity
Cross-functional project management
Sales enablement
Content creation
Community building

Location

New York
On-site

Work Type

On-site
Full-time

Experience Level

1-2 years
Startup experience
Potential future leader

Education Level

Bachelor's or Master's degree in Business Administration, Computer Science, Data Science, or related field, or equivalent experience

Benefits

Competitive compensation package
20 days paid vacation
100% employer-paid health, dental, and vision insurance
Fitness and transportation allowances
401k matching (2%, one-year cliff)
Team offsites at least once a year

About the Company

Foundation models have transformed text and images, and we are now applying this to structured data.
We pioneered tabular foundation models, with TabPFN v2 featured on a Nature cover and achieving significant downloads and GitHub stars.
Our technology is used in production for applications like disease detection and preventing train failures.
We are a selective team of 40+ with backgrounds from leading tech companies and research institutions, led by experienced individuals and advised by a Turing Award winner.
In July 2026, we joined SAP as an independent frontier AI lab, backed by over €1 billion over four years, maintaining our team, mission, and open-weights models.

Equal Opportunity

We welcome applications from all identities and walks of life, especially those who may feel discouraged by not meeting every qualification.
We provide equal opportunities regardless of gender, sexual orientation, origin, disability, or any other personal trait.
We are committed to protecting your data and have a Recruiting Data Privacy page.