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Job description
Role Overview
We’re launching an internal AI/LLM venture and seeking a true co-founder who will lead our technical vision, drive product development, and build a world-class data science practice. You’ll partner directly with leadership, own the roadmap for the products, and help spin out a high-growth AI startup from within our organization.
Key Responsibilities
Technical Leadership: Define and execute the end-to-end AI/LLM technical strategy—from data ingestion and model selection to fine-tuning, scaling, and deployment.
Product Development: Collaborate with product management to translate market needs into AI features; prototype rapidly and move to production.
Team Building: Recruit, mentor, and manage data scientists, ML engineers, and AI researchers. Establish best practices for MLOps, A/B testing, and monitoring.
Incubation & Operations: Set up infrastructure, tooling, and processes to support agile experimentation and continuous iteration within the incubator.
Stakeholder Alignment: Present technical plans, milestones, and trade-offs to executive sponsors; coordinate with legal, security, and compliance for data governance.
Go-to-Market Support: Work alongside go-to-market teams to craft demos, pilot programs, and proofs-of-concept that showcase our LLM capabilities to early customers.
Equity & Ownership: Act as a true co-founder with an equity stake—aligning long-term incentives on growth, fundraising, and exit strategies.
Required Qualifications
Proven Co-Founder/Leadership Experience: Founded or co-founded at least one AI or data-centric startup, or led a ground-up AI initiative with demonstrable impact.
Deep Data Science Expertise: Example: Master’s or PhD in Computer Science, Statistics, or related field; 3+ years in data science or ML engineering roles.
LLM Mastery: Hands‑on experience fine‑tuning, evaluating, and deploying large‑language models (e.g., GPT, LLaMA, Mistral) at scale.
Production‑Grade ML Ops: Expertise with infrastructure (Kubernetes, Docker), data pipelines (Airflow, Prefect), and model‑serving frameworks (TensorFlow Serving, TorchServe).
Cross‑Functional Collaboration: Track record partnering with product, design, and commercial teams to ship AI‑driven features under tight timelines.
Fundraising Savvy: Comfortable presenting technical vision to investors and participating in pitch decks, due diligence, and board meetings.
Preferred Experience
Successful exit or fundraising round in an AI‑focused venture
Open‑source contributions in NLP or ML communities.
Familiarity with prompt engineering frameworks and evaluation metrics for generative AI.
What We Offer
Equity & Co-Founder Status: Significant founder equity in the new venture alongside a competitive salary.
Autonomy & Resources: Backing from our parent company’s engineering, design, and go‑to‑market teams plus a dedicated R&D budget.
Growth & Impact: A rare opportunity to incubate a cutting‑edge business from day one and shape the future of AI within a growing organization.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.