Lucia | Director of Corp Dev · Product Marketing Associate · MLOps Engineer | Remote (NYC / SEA / global overlap) | $140K–$200K + meaningful equity
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.
Lucia Protocol is at the forefront of AI-driven data infrastructure, building the future of decentralized ad attribution. We are redefining how brands, publishers, and communities leverage Web3 to accurately track, attribute, and reward digital actions. Our team is innovating where AI, blockchain, and decentralized ecosystems intersect to power transparent and efficient ad measurement solutions.
Lucia is changing how data can be used for growth and revenue generation. With our open source SDK you can collect 10x the amount of data from your visitors whether that’s in your website, web app or mobile app. Read more about us at https://docs.luciaprotocol.com
We’re looking for a mix of positions.
- Sr ML Engineer ($135k-240k)
- Senior React Engineer ($120k-215k)
- Fullstack Engineer ($155k-220k)
● Are self-motivated and can work independently
● Driven to constantly learn and are always searching for the bigger picture
● Strong in clear thinking and written communication
We are looking for a Fullstack generalist to help us continue our mission of building a Multi-chain intelligence layer. We’re looking for a Senior ML Engineer to create a language interface that helps our customers resolve identities of pseudo-anonymous visitors into high fidelity profile pages. Our vision is to make the work after building your MVP a breeze. Think of our platform as a compass guiding you towards your northstar which is product market fit.
Our ideal engineer has a broad set of experience across frontend, backend, infrastructure, cybersecurity, and data(bases). If you've been responsible for managing production infrastructure, talking to customers, and having full ownership of your features from start to finish.
Please email apply[at]luciaprotocol[dot]com with the subject line HN + the name of your role applying for, if this sounds like the right fit for you.
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.
Apply: with an email with your CV to emily.thompson@luciaprotocol.com mention HN SEPT2026 in subject