Head of Engineering - AI and Software Development

planetary talent San Francisco Bay Area
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AI Summary

Lead the development of AI-driven supply chain platforms, architect scalable systems, and mentor junior engineers. Strong technical leadership and problem-solving skills required. Experience in AI/ML, software engineering, and system architecture.

Key Highlights
Lead AI-driven supply chain platform development
Architect scalable systems
Mentor junior engineers
Key Responsibilities
Lead development of AI-driven supply chain platform
Architect scalable systems for data scraping, aggregation, and decision-making
Oversee and mentor a junior engineering team
Establish engineering best practices, workflows, and technical roadmap
Technical Skills Required
Software engineering System architecture AI/ML Data ingestion Pricing optimization Trade execution systems Data scraping Data aggregation Decision-making
Benefits & Perks
Onsite in San Francisco (5 days/week)
Open to candidates willing to relocate (relocation support available)
Nice to Have
Familiarity with supply chain, logistics, marketplaces, or pricing systems

Job Description


The Head of Engineering will serve as the foundational technical leader responsible for building and scaling the company’s AI and software capabilities. This is a hands-on leadership role combining architecture, development, and team mentorship in a fast-moving startup environment.


Key Responsibilities:

  • Lead development of the AI-driven supply chain platform, including data ingestion, pricing optimization, and trade execution systems
  • Architect scalable systems for data scraping, aggregation, and decision-making across global suppliers
  • Work closely with founders to translate business operations into technical solutions
  • Oversee and mentor a junior engineering team (early-career developers)
  • Establish engineering best practices, workflows, and technical roadmap
  • Act as a founding technical leader, contributing directly to code and product development
  • Collaborate cross-functionally with operations and partnerships to improve end-to-end supply chain execution
  • Identify system inefficiencies and build solutions to optimize trade lifecycle performance


Technical Requirements:

  • Strong experience in software engineering and system architecture
  • Background in AI/ML applications, ideally in optimization, data pipelines, or decision systems
  • Experience working with large-scale data ingestion and processing systems
  • Ability to build and scale end-to-end platforms (backend-heavy systems)
  • Familiarity with supply chain, logistics, marketplaces, or pricing systems (preferred, not required)


Experience:

  • 5+ years of professional engineering experience (flexible based on capability)
  • Prior experience in a startup or high-growth environment strongly preferred
  • Experience in technical leadership or mentorship roles
  • Proven ability to operate in early-stage, ambiguous environments


Leadership & Execution:

  • Ability to mentor junior engineers and build team capabilities
  • Comfortable being both a strategic leader and individual contributor
  • Strong problem-solving skills with a bias toward execution
  • Experience working closely with non-technical stakeholders (operations, business teams)


Logistics:

  • Preferred: Onsite in San Francisco (5 days/week)
  • Open to candidates willing to relocate (relocation support available)



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