Job Description
Chief AI Officer
\n
Hybrid in New York City
\n
$300,000-350,000 base + Equity
\n
\n
THE COMPANY
\n
Our client is a high-growth AI-native technology company transforming the advertising and marketing ecosystem. The business is building a unified platform designed to replace fragmented agency and martech workflows with intelligent, autonomous systems that streamline campaign strategy, creative development, media activation, optimization, and reporting.
\n
Backed by a strong product vision and an experienced leadership team, the company is at the forefront of applying agentic AI to real-world enterprise workflows. They are now seeking a Chief AI Officer to define the technology strategy, scale the engineering organization, and lead the next phase of growth, specifically around AI agent harness and orchestration infrastructure.
\n
\n
RESPONSIBILITIES
\n
- \n
- Define and execute the company's technology vision, architecture strategy, and long-term product roadmap.
- Own AI agent harnessing and orchestration infrastructure.
- Lead and scale a high-performing engineering organization, fostering a culture of innovation, accountability, and technical excellence.
- Drive the development of AI-native products, agentic workflows, orchestration frameworks, and enterprise-grade automation capabilities.
- Oversee platform architecture, ensuring scalability, reliability, security, observability, and operational excellence as the business grows.
- Partner closely with Product, Commercial, and Customer teams to translate complex advertising and marketing workflows into market-leading software solutions.
- Evaluate emerging AI technologies, LLM frameworks, agent architectures, and infrastructure strategies to maintain a competitive edge.
- Establish engineering best practices covering software development lifecycle, AI governance, deployment standards, testing, and monitoring.
- Build strategic relationships with customers, technology partners, and industry stakeholders to support product innovation and market expansion.
- Lead technical recruitment and organizational growth while mentoring senior engineering talent and future technical leaders.
- Serve as a key member of the executive leadership team, contributing to company-wide strategy, growth planning, and investor discussions.
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
SKILLS & EXPERIENCE
\n
Required
\n
- \n
- Significant software engineering and technology leadership experience, including building and scaling modern SaaS platforms.
- Deep expertise in AI agent harnessing, machine learning, LLM-powered applications, and agentic architectures.
- Strong architectural knowledge across distributed systems, APIs, cloud infrastructure, data platforms, and enterprise integrations.
- Proven track record of delivering complex products from concept through production in fast-moving, high-growth environments.
- Experience building and leading engineering teams, including hiring, mentorship, performance management, and organizational design.
- Demonstrated ability to balance strategic leadership with hands-on technical decision-making.
- Excellent communication skills with the ability to engage technical teams, executive stakeholders, customers, and investors.
\n
\n
\n
\n
\n
\n
\n
\n
Nice to Have
\n
- \n
- Experience within advertising technology (AdTech), marketing technology (MarTech), media, or related digital ecosystems.
- Knowledge of enterprise data platforms, CDPs, DSPs, SSPs, advertising APIs, and campaign management systems.
- Exposure to agent orchestration frameworks, multi-agent systems, and model context protocols.
- Experience evaluating or deploying self-hosted and enterprise AI infrastructure.
\n
\n
\n
\n
\n
\n
BENEFITS
\n
- \n
- Fully remote-first working environment across the US
- Opportunity to shape technology strategy at an executive level
- Significant influence over product direction and company growth
- Work alongside a highly experienced and senior technical team
- Fast-moving startup environment with substantial ownership and impact
- Equity participation potential and executive-level compensation package
\n
\n
\n
\n
\n
\n
\n
\n
HOW TO APPLY
\n
Please register your interest by sending your CV via the Apply link on this page.
\n
\n
KEY TERMS
\n
Chief AI Officer | C-suite | AI Engineering | AI Leadership | Artificial Intelligence | Agentic AI | Generative AI | LLMs | SaaS | Cloud Architecture | Distributed Systems | Engineering Leadership | AdTech | MarTech | Machine Learning | Platform Engineering | Product Strategy | Remote US | Startup Leadership | Executive Technology Role | AI Agent Harnessing | AI Harness | AI Agent Orchestration