Senior Software Engineering - Machine Learning

OuterSignal Engineering Role

We are building the customer intelligence layer for commerce. Brands know when an order comes in, but they only see ~5% of the real story. We show them the other 95%: not just who bought, but who that person is - the execs, influencers, journalists, retail buyers, investors, and everyday customers who become a brand's best evangelists. Our platform enriches every order in real time with professional + personal signals, unlocks personas, and powers everything from surprise-and-delight outreach to smarter email flows, analytics, and BD leads. We serve 150+ brands and are growing 50% month-over-month - all within our first 6 months of operation. We're a small, high-performing team building the category-defining platform for e-commerce customer intelligence, backed by a world-class investor base.

Architect and own core systems that process millions of orders across APIs and LLM pipelines

Build queue-based microservices using Redis, Node.js, Typescript, Postgres, Docker/K8s, Vercel

Integrate vector databases + RAG pipelines to make customer profiles smarter, faster, and searchable in real time

Ship features end-to-end: APIs, dashboards, integrations (Shopify, Klaviyo, Slack, Zapier, Gorgias)

5+ years engineering experience, ideally with backend infra + distributed systems

• Fluent in JS/TS (Node), with some Python/ML exposure a plus
• Experience with vector databases (Pinecone, Weaviate, pgvector, etc.) Bonus if you've built around LLMs, Shopify apps, or data-privacy frameworks
• Meaningful equity in a venture-backed company defining a new SaaS category

You'll see your code directly impact customers, revenue, and growth

From AI pipelines to Shopify apps to RAG/vector search infra, you'll touch it all

We're past prototype, real brands already rely on us and have PMF, but the ceiling is wide open