Leads engineering end-to-end, combining hands-on architecture and AI/ML delivery with hiring and scaling an engineering organization from roughly 5 to 15–20 engineers. Requires 8+ years of software engineering experience, founding or technical leadership experience, and a proven ability to ship production agentic systems.
Salary not listed
On-site8+ YOEEngineering Management
About the role
Responsibilities
Own all engineering output, including product quality, velocity, reliability, and security.
Scale the engineering team from approximately 5 to 15–20 engineers in 12 months, with personal involvement in every hire.
Establish and enforce a high-velocity shipping culture with weekly demos, continuous deployment, and minimal process overhead.
Partner directly with the CEO on product direction, prioritization, and customer-facing technical conversations.
Architect and evolve the platform, including LLM orchestration, agentic workflows, and compliance automation, for enterprise scale.
Establish lightweight but effective engineering practices, including CI/CD, observability, on-call, and code review standards.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
8+ years of software engineering experience, including at least 3 years in a technical leadership or founding engineering role at a product-led company.
Experience scaling an engineering team from small to 20+ engineers, including hiring, developing, and retaining senior technical talent.
Deep, hands-on experience shipping AI/ML or agentic systems to production at enterprise scale.
Strong written and verbal communication skills, with the ability to partner directly with the CEO and represent engineering in customer-facing technical conversations.
Ability to make architecture decisions, review and write code, debug production issues, and explain technical tradeoffs.
Experience making decisions under uncertainty, cutting scope, and maintaining rapid shipping cycles.
Nice-to-haves
Founded or co-founded a technical startup, or served as an early engineering leader.
Experience scaling an engineering team through a Series A or Series B at a product-led company.
Active experience building with LLMs, agents, tool use, and orchestration frameworks.
Knowledge of prompt engineering, evaluation, context-window management, and production-grade AI systems.
Experience with agentic architectures.
Strong connections in the Bay Area engineering community.
Background in security, infrastructure, or enterprise SaaS.
Experience in domains where correctness matters, such as fintech, security, health, or compliance.
Compensation and Benefits
Significant equity and competitive cash compensation.
Reports directly to the CEO.
Skills
AI/MLLLMsagentic architecturesPrompt EngineeringCI/CDObservabilityon-callCode Reviewllm orchestrationenterprise saasSecuritycompliance automationproduction systems
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