Graphistry, Louie.AI : Full stack, marketing, data science

lmeyerovAbout 1 min

Graphistry, Louie.AI - Full stack, marketing, data science - REMOTE + Washington DC - https://www.graphistry.com/careers

The Graphistry visual graph AI platform is used by investigation teams around the world - cyber, misinfo, fraud, supply chain, clickstreams, etc. We have been 2-3Xing revenue annually, and while originally funded by Nvidia and Bloomberg, are now fully growing on revenue. We need our first marketer, which is a big ownership opportunity. Seperately, as our DC gov side is especially growing, also on-site data scientists & data eng for cleared mission work at public trust / secret / top secret.

Louie.AI is our expansion to making investigations even easier via generative AI UX and real-time AI KG (eg, real-time graph RAG). We are already launching with banks, govs, tech co's, etc. Complimenting Louie.AI's current self-hosted version, we are looking for a fullstack engineer to help drive our SaaS launch's multitenancy scaling work. The growth marketing is about the launch of louie.ai as an easier entrypoint into graph for key domains.

We have options both contractor, contract-to-hire, and full time:

The DC data roles are onsite reporting to leadership at a top enforcement agency, where we are expanding from 1 person to 3. One data engineering & analytics, the other data science & analytics, with emphasis on LLM (llama 3.1 400b), graph, and GPUs for crime analytics. Very mission oriented.
The growth marketing is global remote, US timezone preferred, with overlap with a team 70% in the Americas (US, Canada, South America) and 30% elsewhere (Norway, ...). Marketing benefits for understanding technical markets (cyber, ...), category creation, and hands-on.
The fullstack role is also global remote, with US time zones preferred. Initially to tackle vertically & horizontally scaling the SaaS: typed python, redis, docker, react, vector databases, GPU infra, open telemetry, etc. Later, optionally continuing on to ECS/k8s, similar to the rest of our gpu infra, or push more on pure fullstack side. Fullstack is interesting here as it's similar to notebook-as-a-service and orchestration on the backend, and a highly immersive & interactive analytics environment on the frontend, with GPU & AI services all around.

See careers page and send an email based on what is there - we are actively growing to meet customer need, so it is an exciting time!