5+ years in senior technical leadership or executive roles (VP Engineering, VP Product, or CTO)
Recent (within the last 24 months) senior or principal-level experience in architecture, engineering, or product management at an AI lab (OpenAI, Anthropic) or FAANG company (Google, Amazon, Meta, Microsoft, Apple)
Proficiency with Node.js, Next.js
Proficiency with OpenAI, LLM
Experience with scaling technology and product in high-growth B2B SaaS companies in the AI/ML domain
Proven track record delivering large-scale technical projects for US-based enterprise clients
Deep knowledge of Large Language Models (LLMs), including fine-tuning, retrieval-augmented generation (RAG), latency optimization, and cost management with provider APIs
Strong communication skills in both spoken and written English
Nice-to-haves
Startup experience
Bachelor’s Degree in Computer Engineering, Computer Science, or equivalent
What you will work on
Define the technical strategy and hands-on architecture for a highly available, real-time, multi-tenant conversational AI platform
Establish enterprise-grade security, data governance, and LLMOps practices for prompt management, model orchestration, and data fine-tuning pipelines
Oversee the design and scaling of microservices for functions like match scoring, response optimization, and rate limiting
Recruit, mentor, and lead globally distributed engineering and data science teams, fostering a culture of excellence and accountability
Provide strategic oversight of the core tech stack (Next.js, React, Supabase, Airtable) to ensure maintainability, performance, and developer efficiency
Define and own the product roadmap, turning company vision and market needs into actionable technical requirements
Collaborate with enterprise clients to translate complex requirements into secure and scalable product capabilities (e.g. advanced analytics, multi-tenant features, A/B testing frameworks)
Align product and engineering initiatives with business goals, revenue growth, and market strategies
