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GTM Engineering Intern (Fall 2026)

Haladir
San Francisco, CA
Internship
Compensation
$5,000–$8,000/month

Job Description

Role Description:

You will help sell Haladir products to 3PLs, distributors, and warehouse operators, working directly with the founders to aid our sales motion.

You will own the full sales cycle, including sourcing accounts, running discovery with operators, demoing against real operational problems, structuring paid POCs, and closing deals.

This is also a technical GTM role. You should be comfortable working with software, APIs, data, and AI tools, and capable of building lightweight tools or automations to improve your own workflow.

Required Qualifications:

  • Proven ability to sell B2B software across the full sales cycle, from sourcing and discovery through negotiation and close

  • Comfortable working with operators at every level, from shift leads to the C-suite

  • Strong technical competency, including the ability to work with APIs and data and build lightweight tools, automations, scrapers, or internal applications

  • Fluent with AI tools and uses them regularly in day-to-day work

  • Willingness to relocate to San Francisco and travel frequently, including internationally

  • US work authorization

Preferred Qualifications:

  • Currently enrolled or finished Bachelors degree

  • Experience selling into logistics or supply chain, including WMS, TMS, 3PL, or freight

  • Existing network in warehousing or distribution

  • Early-stage startup experience

  • Experience working closely with engineering or technical product teams

  • US citizen

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Job Details

Category
Sales & Marketing
Employment Type
Internship
Location
San Francisco, CA
Posted
Compensation
$5,000 - $8,000 per month

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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GTM Engineering Intern (Fall 2026)
Haladir
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