
Job Description
Role Description:
You will build Haladir’s products end to end and deploy them inside real-world operations. The stack spans data infrastructure and integrations with the systems operators already use, including WMS, TMS, and OMS, through the decisioning layer and the interfaces warehouse teams use every day.
You will ship across frontend and backend, spend time at customer sites understanding how decisions are actually made on the floor, and turn those operational constraints into product. We move quickly, and AI coding tools are a core part of how we build. We expect you to use them deeply and effectively.
Required Qualifications:
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Exceptional full-stack engineer who can own a problem end to end, from schema to interface
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Uses AI coding tools as a core part of their development workflow and has shipped meaningful production software with them
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Fast and efficient without sacrificing correctness, with strong judgment on what to build and what to skip
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Strong product sense and the ability to turn a customer conversation into a product decision without needing a detailed spec
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Willingness to relocate to San Francisco and travel frequently
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US work authorization
Preferred Qualifications:
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Currently enrolled or finished Bachelors degree
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Early-stage startup experience
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Experience integrating with enterprise systems such as WMS, TMS, ERP, or OMS
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Experience with optimization algorithms, operations research, or decision-making systems
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US citizen
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Job Details
- Category
- Software
- Employment Type
- Full Time
- Location
- San Francisco, CA
- Posted
- Compensation
- $100,000 - $170,000 per year
About Haladir
Haladir is the operational AI layer for logistics. We unify and structure data across WMS, TMS, OMS, etc., and embed solver-grade optimization, ML models, RL environments for frontier AI labs, and forecasting into the decisions that power supply chains. Today's AI brought intelligence. The next frontier is judgement. We define operational superintelligence as AI that consistently makes maximally-optimal operational decisions in complex environments. The first component is speed: continuous decisions that take operations managers and OR analysts weeks to make, in seconds. The second is reliability: every decision is guaranteed to satisfy operational constraints. The third is scope: optimize across thousands of constraints no human or team could possibly reason about.
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