The Opportunity

BrandMultiplier helps founder-led B2B companies ($3M–$50M ARR) solve one of the hardest scaling problems in business: getting the founder's story, conviction, and selling logic out of their head and into the hands of their team, their marketing, and their market.

We do this through a proven proprietary methodology backed by cognitive science, combined with AI-powered systems that we build and deploy for our clients. We're a profitable, growing services business actively building toward a platform model—and we're looking for the technical leader to own that build.

The Head of AI & Engineering will own BrandMultiplier's entire technical function: building and evolving our proprietary AI platform, leading internal engineering, and serving as the technical voice at the leadership table alongside the CEO, Growth Strategist, and Operations Manager.

This isn't a blank canvas. We've done the strategic and architectural thinking—there's a detailed product plan, a multi-agent AI architecture, and systems already running in production. What's missing is the technical leader who can pressure-test that plan, optimize the build approach, and execute it with speed and precision—while bringing innovations and efficiencies we haven't considered.

The Team You're Joining

BrandMultiplier's core operating team is four people. You'd be the fifth: CEO/Founder (creative systems architect), Growth Strategist (go-to-market), Operations Manager (delivery), and AI Engineer (your first direct report).

What You'll Own

Proprietary AI Platform — We're building an AI-powered platform that operationalizes our methodology into scalable, deployable systems for clients. The platform uses multi-agent AI architecture, integrates with major LLM providers, and combines proprietary intelligence with API-first design. The architecture isn't a napkin sketch—we have a detailed product plan and technical specification already in place. Pieces of the platform are already in active internal use.

Internal AI Systems & Automation — We run internal AI tools and automation systems for content intelligence, prospecting, and operational efficiency. These systems are live and in daily use. You'll own their continued evolution.

Technical Team Leadership — You'll lead our AI Engineer and own the technical function as it grows. As BrandMultiplier scales, this role grows into VP Engineering or CTO—with the title, equity, and scope to match.

Innovation & Technical Strategy — You'll be the team's technical scout and creative catalyst—evaluating new AI models, tools, APIs, and frameworks.

First 90 Days
Days 1–30: Onboard to our methodology, review the existing platform architecture and technical specifications. Audit current systems and codebase. Pressure-test the existing build plan and deliver your assessment.
Days 31–60: Ship measurable improvements to our internal AI systems. Begin executing the refined build plan against our first platform-tier client engagement.
Days 61–90: First client build sprint in progress with tangible deliverables. Internal systems demonstrably more efficient. Direct report operating with noticeably higher output and confidence.

Technical Requirements

Must-Have:

Full-stack development proficiency: modern frontends (React/Next.js/TypeScript), production backends (Python and/or Node.js), database design (SQL + NoSQL), cloud infrastructure and DevOps (preferably AWS — deployment, CI/CD, monitoring, scaling)
Deep, production-level experience building with LLMs: multi-agent orchestration, RAG systems (vector databases, embedding workflows, chunking strategies, retrieval logic), prompt engineering, tool-calling frameworks (e.g. LangChain/LangGraph), model evaluation, and API integration across providers (Claude, GPT, Gemini)
AI-native workflow: you use AI development tools (Cursor, Claude Code, Copilot) as force multipliers in your own work
API-first architecture mindset
System architecture: ability to design scalable, maintainable platforms that evolve iteratively
Automation and integration: experience with workflow automation (n8n, Make, Zapier), API design, and connecting disparate SaaS tools into coherent systems
Technical leadership: you've managed or mentored at least one engineer
Shipping discipline: you've deployed production systems that real users depend on

Strong Preference:

Experience building and orchestrating end-to-end LLM pipelines in production environments, including custom AI automations beyond simple API wrappers
Familiarity with caching mechanisms (e.g. Redis) and performance optimization for scalable AI systems
Experience in B2B SaaS or services-to-software transitions
Experience building AI agent architectures with tool use, planning, and memory

Nice-to-Have:

Background in cognitive science, behavioral science, or NLP research
Prior experience as a fractional CTO, founding engineer, or technical co-founder

Compensation
BrandMultiplier is a growing, profitable business evolving from services to a platform model. We're intentionally not venture-funded, which means our equity is unencumbered.

This role will begin as a fractional engagement with a path to full-time for the right fit. Exact structure (hourly/retainer, fractional vs. full-time, and equity participation) will depend on experience, scope, and how we decide to work together.

How to Apply
Start by completing the short interest form via the Notion page. Share a brief note on why this role interests you, your LinkedIn and portfolio showing shipped AI/LLM projects, and one example of a system you built that you're proud of. No recruiter submissions.

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