Distribution is one of the last durable moats left; models are commoditizing, but knowing how attention and demand actually move through a system still compounds. That's what we're building: a growth control plane that turns distribution into something you can model and act on with certainty. Get this right and the outcome isn't in question.
We're hiring across three roles:
Director, Corporate Development: own strategic partnerships, fundraising support, and M&A/inorganic growth. For someone who can operate at the intersection of deal-making and narrative, and help steer where this company goes next.
Product Marketing Associate: translate a technically deep product into sharp positioning and demand. For someone who can make causal modeling and world models land with real buyers. Experience with working with social media and influencers, Reddit strongly preferred. Data Science Background heavily preferred.
MLOps Engineer: own the infra behind our modeling; production pipelines and serving for causal graph inference, state space models, and world models (JEPA-I, JEPA-II style). Creating certainty in distribution, in production, not just in notebooks. Stack: Python, PyTorch, some Rust; GCP; Ray for distributed training.
Interview process: intro call, screen, virtual onsite, decision.