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OuterSignal

Real-time customer data enrichment for e-commerce

Senior Software Engineer

AI Application Engineering +1Updated on Nov 13
Full-timeNew York, NY, USAHybrid

About the Job

Requirements

  • At least 5 years of engineering experience, ideally including backend infrastructure and distributed systems.
  • Experience at a fast-paced startup, or willingness to work in a dynamic, changing environment.
  • Fluency in JavaScript and TypeScript with Node.js; Python and machine learning exposure is a plus.
  • Experience with vector databases such as Pinecone, Weaviate, or pgvector, and retrieval-augmented generation architectures.
  • Ability to design schemas and scale PostgreSQL.
  • Desire for ownership, ability to build quickly and solve ambiguous problems, and willingness to work in an early-stage environment.

Responsibilities

  • Architect and own core systems that process millions of orders across APIs and large language model pipelines.
  • Build queue-based microservices using Redis, Node.js, TypeScript, PostgreSQL, Docker/Kubernetes, and Vercel.
  • Integrate vector databases and retrieval-augmented generation pipelines to make customer profiles smarter, faster, and searchable in real time.
  • Ship features end to end, including APIs, dashboards, and integrations with Shopify, Klaviyo, Slack, Zapier, and Gorgias.
  • Maintain privacy and compliance.
  • Work with the founding team on the roadmap and product direction, and help shape hiring as the engineering team grows.

Desired Qualifications

  • Experience with large language models, Shopify apps, or data-privacy frameworks.

About the Company

OuterSignal

Real-time customer data enrichment for e-commerce

OuterSignal provides a SaaS customer intelligence platform for e-commerce that enriches order data with real-time professional and personal signals to reveal high-value customers and potential strategic partners. It works by integrating with a brand’s existing tech stack to augment orders with actionable analytics, instant VIP detection, customer personas, and audience analytics, enabling targeted marketing like personalized email flows and surprise-and-delight outreach. The product differentiates itself by turning transaction data into people-focused insights (e.g., executives, influencers, journalists, retail buyers) and offering a combination of segmentation, personalization, and lead-generation tools for 150+ brands. The goal is to help brands identify hidden high-value customers and partners in their order histories to drive more effective marketing and partnerships.

Company size
11-50
Company stage
Series A
Total funding
$26.3M
Headquarters
Tampa, FL
Founded
2025

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