- Lead and grow the engineering team, balancing hands-on development with strategic leadership.
- Architect and own the core platform, including data pipelines, AI/ML integration layers, and scalable cloud infrastructure.
- Build robust integrations with OEM ERP/DMS systems to ingest and operationalize complex parts, inventory, and pricing data.
- Partner with Product and Data Science to translate messy real-world aftermarket workflows into intelligent, automated systems.
- Drive best practices around security, CI/CD, observability, testing, and documentation.
- Establish the technical vision for AI-driven demand forecasting, predictive placement, and closed-loop execution.
- Manage and mentor distributed contributors (including nearshore/offshore teams) to build a high-performance engineering culture.
- Deliver quick MVP iterations while laying the foundation for enterprise scale.
- A technical leader who thrives at the intersection of AI, data, and enterprise SaaS.
- Hands-on and detail-oriented, comfortable writing code, reviewing PRs, and guiding architecture.
- Skilled at integrating complex enterprise data systems (ERP/DMS, supply chain, pricing engines).
- Experienced building products that combine data infrastructure with applied machine learning.
- A collaborative partner who can work closely with product, data science, and business stakeholders.
- Capable of thriving in ambiguous, high-growth startup environments and scaling teams from 0→1 and beyond.
- 8+ years in software engineering, including 4+ years leading small, high-output teams.
- Strong backend or full-stack background and ability to remain hands-on.
- Proven experience scaling B2B SaaS platforms with real-time data pipelines and system integrations.
- Expertise in cloud architecture, CI/CD pipelines, observability, and distributed systems.
- Experience working with AI/ML platforms (e.g., predictive models, optimization engines, LLM copilots).
- Familiarity with ERP/CRM/DMS integrations -SAP experience is a plus.
- Experience leading or managing distributed teams (nearshore/offshore).
- Knowledge of supply chain, aftermarket, or manufacturing systems (nice-to-have).
- Build and lead the engineering organization for a high-growth AI startup from day one.
- Shape a category-defining platform at the intersection of aftermarket logistics, predictive AI, and enterprise SaaS.
- Collaborate with UP.Labs, OEM partners, and investors to drive real impact in a $20–30B+ market.
- Earn meaningful equity in a company positioned to transform how OEMs generate and protect revenue.
- Risk: We reward our entire team and ecosystem of partners with meaningful equity.
- Technology: We build and launch scalable technology products that form the basis for each venture.
- Industry Focus: We stay focused on the underlying fabric of retail mobility.
Top Skills
What We Do
We work with global corporate partners to identify the most pressing challenges that they, and broader society, face. Inspired by these complex problems, we launch startups built by proven entrepreneurs, product leaders and technologists that use their agility and talent to develop transformative solutions. After these companies have matured and proven market fit, our corporate partners are able to acquire them, reaping strategic value while enriching their culture and core business. We believe this to be the shortest road to a faster, cleaner, safer, and more accessible future.
Why Work With Us
We launch and innovate 6-8 portfolio organizations a year where no day is the same.
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