Chief Technology Officer (CTO)
As CTO, you will be the technical leader of the business, working closely with the founders to shape our product and technology strategy as we scale from Series A towards Series B.
You will lead our 6-person engineering team in India, while remaining sufficiently hands-on and responsible for the architecture, performance, and roadmap of Nina and Trace, and for building the engineering organization behind them whilst staying close enough to the code and models to make sharp technical calls.
Key responsibilities
- Own the company’s technology and AI strategy, including the end-to-end technical vision and architecture for Nina and Trace.
- Lead, mentor and scale the distributed engineering team, establishing the culture, standards, processes and hiring strategy needed for the next stage of growth.
- Drive the evolution and performance of Nina and Trace, improving agent accuracy, reliability, latency, cost and scalability.
- Establish robust approaches to AI agent evaluation, orchestration, safety & reliability.
- Design and scale the underlying data pipelines, integrations, verification workflows and infrastructure supporting the agents.
- Own technology practices around data privacy, security and responsible AI, particularly for sensitive candidate and background-check data.
- Translate product, customer and commercial priorities into a clear technical roadmap and execution plan, working closely with founders, product and go-to-market teams.
- Make strategic architecture, technology, build-vs-buy and model-vs-API decisions to optimise long-term capability, cost and scalability.
- Shape the future technology organisation, including team structure, engineering processes and talent strategy.
- Represent technology and engineering with customers, partners, the board and investors as required.
- A degree from a leading university in Computer Science, AI, Mathematics, Engineering or a related technical discipline
- Significant experience leading engineering and/or AI teams in a startup or high-growth technology business
- Strong software engineering and technical architecture background
- Deep understanding of LLMs, AI agents and production AI systems
- Experience taking AI products from concept through to reliable, scalable production
- Strong product and commercial judgement
- Proven ability to lead distributed engineering teams
- Excellent communicator who can operate effectively with founders, engineers, customers and investors
- Hands-on, pragmatic and comfortable operating in a fast-moving environment
.Background — any of these paths could be a strong fit
- Founding CTO of an early-stage startup (AI/SaaS preferred).
- Head of Engineering / VP of Engineering ready to take on a broader, CTO-level mandate.
- Director/Head of AI or Applied AI/ML looking to step up into a full CTO role.
- Ambitious, high-agency engineering leaders who want outsized ownership at an early-stage company
- Pension Plan
- Birthday Off
- Health & wellbeing benefits
- Lifestyle savings and discounts
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