What are the responsibilities and job description for the Head of Engineering position at Optimus?
Join as the founding engineering leader to build cutting-edge AI systems and data infrastructure that power intelligent freight insights at scale. You'll architect machine learning pipelines and predictive models that define the technical foundation of a company targeting $125M ARR in 5 years.
AI/ML Systems
Architect next-generation AI systems with advanced predictive models for shipper behavior, intelligent targeting, and automated deal scoring
Data Infrastructure
Process millions of shipment records across 500K companies at scale
Product Platform
Serve 20,000 potential freight broker customers with a scalable platform
Strategic Integrations
Build integrations with major TMS systems and strategic partners
What We're Looking For
- Product & Startup Mindset
- Comfort with ambiguity; builds MVPs quickly
- Strong product intuition — able to turn data and ideas into customer-facing insights
- Experience in early-stage startups ready for scale
- Pragmatic, fast, iterative, and relentlessly resourceful
- Curious and has the ability to learn on the job to use the right tool for the job
Backend / Full Stack
- Can design and build APIs
- Can build UI and application including dashboards and actionable features
- Experience with Python or MVC frameworks
- Understands distributed systems, event-driven workflows, caching, and logging
Data Engineering
- Strong with SQL, Postgres
- Ability to design and build data pipelines for messy real-world data
- Geospatial/Location Tracking data processing
AI / Machine Learning / LLMs
- Hands-on experience building LLM-powered workflows (agents, multi-step reasoning, tool use)
- Strong with prompt engineering, structured outputs (JSON), fallbacks, guardrails
- Has built ML systems in production (evaluation sets, drift detection, retraining)
Recruiting & Leadership
- Ability to recruit and close awesome engineers on Day 1
- Proven track record of attracting top-tier technical talent in competitive markets
- Experience building and mentoring high-performing, distributed engineering teams
- Strong personal network of engineers to tap into immediately
- Experience managing engineering budgets and resource allocation
Salary : $125