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Software Engineer

Build the platform that distributors trust to run their purchasing. Full-stack role, from backend services to interfaces that customers use every day.

Location San Francisco, CA · In-office
Experience 4–6 years
Compensation ~$200K base + equity
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The role

We're hiring a Software Engineer to build the platform that distributors use to run their purchasing. Your systems will turn operational data and ML outputs into decisions that customers act on every day. The central challenge is making these experiences fast, reliable, and intuitive enough to trust with real money. You'll work across the stack, from backend services and APIs to the interfaces where customers review recommendations and place orders. It's a high-ownership role on a small team, working directly with our CTO to ship products that every customer relies on.

What you'll do

  • Build and own core features end to end, from data models and APIs to customer-facing interfaces.
  • Design reliable backend services that integrate customer data, ML outputs, and purchasing workflows.
  • Ship the tools distributors use daily to review recommendations, place orders, and manage inventory.
  • Improve the product's performance, reliability, and observability as Lantern scales across more customers.
  • Turn customer-specific workflows into repeatable, configuration-driven products, and help shape the platform architecture.

What you bring

  • 4–6 years building production software, ideally full-stack or backend-focused.
  • Strong software engineering fundamentals and a bias for clean, maintainable, production-grade code.
  • Experience designing and shipping APIs, data models, and services that scale.
  • Deep proficiency in at least one modern, widely-used language, with cloud infrastructure (AWS or GCP) and relational databases. We care more about strong engineering fundamentals than a specific stack, and Python is a plus since it powers our ML platform.
  • Comfort with messy, real-world data and ambiguous requirements.
  • BS/MS in Computer Science or a related technical field.

Nice to have

  • Supply chain, logistics, demand forecasting, or operations-adjacent experience.
  • Experience building data-intensive or B2B products used by non-technical operators.
  • Prior early-stage startup experience where you wore multiple hats.

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