Chief Technology Officer

Pipped; High Wycombe; Remote; GBP 100,000 - 150,000; Full time

Job summary

Pipped is seeking a Chief Technology Officer (CTO) for a pioneering analytics start-up. The ideal candidate will lead the engineering team, design innovative data pipelines, and shape product vision into a scalable platform, while working in a flexible environment aimed at transforming social media influence analytics.

Qualifications

• 5+ years’ senior engineering leadership in SaaS or analytics.
• Experience with API ingestion, distributed systems, ML in production.
• Track record of shipping 0→1 products.

Responsibilities

• Define tech vision and roadmap translating product goals.
• Design compliant data collection pipelines from various sources.
• Deliver real-time processing with AI/ML models in production.
• Hire and mentor a team of data scientists and engineers.

Skills

Senior engineering leadership

API data ingestion

Distributed systems

Machine Learning

Full-stack fluency

Graph AI

Network science

Social-media analytics

Start-up scaling

Job description

Chief Technology Officer (CTO) – Influence Analytics Start-up

Type: Full-time | Location: UK / EU Remote (occasional London meet-ups)

Start: Flexible – ideally before Sept 2025

Pipped is partnering with a stealth-mode analytics start-up that is reinventing how social-media influence is tracked, measured and predicted. We’re searching for a mission-driven CTO to turn product vision into a scalable platform, ship the first MVP, and build a top-tier engineering organisation from the ground up.

What you’ll own

Tech vision & roadmap – Translate product goals into a clear architecture from MVP to full platform. Data collection at scale – Design compliant pipelines that pull from X/Twitter, Meta, Reddit, YouTube and third-party sources. Infrastructure & ML – Deliver real-time + batch processing, embedding AI/ML models directly into production. Social-media intelligence – Craft novel metrics for hidden-influencer detection, bridge mapping and predictive analytics. Team leadership – Hire, mentor and inspire a lean group of data scientists & engineers.

What you’ll bring

5+ years’ senior engineering leadership in SaaS, data or analytics scale-ups. Deep experience with API data ingestion, distributed systems and ML in production. Full-stack fluency and a track record of shipping 0→1 products in fast-moving environments. Bonus: graph AI / network-science expertise, prior social-media analytics background, start-up scaling experience.

Why join?

Green-field ownership, genuine technical challenge, and the chance to shape a category-defining product—while recruiting the team that makes it happen.

Keen to learn more? Message Pipped for a confidential chat.