
51 - 200 employees
Founded 2002
☁️ SaaS
🏢 Enterprise
🤝 B2B
💰 Private equity on 2024-09
SaaS • Enterprise • B2B
Board Intelligence is a London-based company (founded 2008) that provides an AI-powered board management platform and advisory services to governance teams, company secretaries, executives, and board directors. Its SaaS products include a secure board portal, agenda planning, report-writing tools, AI minute-writing, meeting preparation, and board evaluation and development services; the company emphasizes security and the science of board effectiveness. Board Intelligence serves professional services, financial services and large enterprises, and cites clients across the FTSE 100, Fortune 500 and OMX 30 (trusted by 30% of the FTSE 100 and 80,000+ leaders).
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51 - 200 employees
Founded 2002
☁️ SaaS
🏢 Enterprise
🤝 B2B
💰 Private equity on 2024-09
SaaS • Enterprise • B2B
Board Intelligence is a London-based company (founded 2008) that provides an AI-powered board management platform and advisory services to governance teams, company secretaries, executives, and board directors. Its SaaS products include a secure board portal, agenda planning, report-writing tools, AI minute-writing, meeting preparation, and board evaluation and development services; the company emphasizes security and the science of board effectiveness. Board Intelligence serves professional services, financial services and large enterprises, and cites clients across the FTSE 100, Fortune 500 and OMX 30 (trusted by 30% of the FTSE 100 and 80,000+ leaders).
• Design and build the AI evaluation suite used to measure and improve AI output quality • Build across the full stack, including data pipelines, backend services and front-end tools • Work with prompt engineers and subject matter experts to turn knowledge into tests, metrics and tooling • Help define AI quality measurement practices • Automate evaluation processes and results within the software development lifecycle • Contribute over time to AI-powered products • Deliver an evaluation suite used by engineering teams after three months • Extend evaluations across all AI products and integrate them into the SDLC after six months • Establish evaluation as a standard part of AI delivery and become a trusted voice on AI quality after twelve months
• Upper mid-level to senior professional software engineering experience • Experience building AI powered products or tooling • Full-stack experience across front end and back end • Comfortable working independently and in ambiguity, setting own direction • Experience collaborating with non-engineers and turning their expertise into working software • Strong focus on quality, testing and attention to detail • Experience using AI coding tools in day-to-day work • Fluent written and spoken English • Nice to have: experience building evaluation suites for AI products • Nice to have: experience with Python and TypeScript • Nice to have: experience building internal tools, testing frameworks or data pipelines • Nice to have: experience at a startup or in a small team building things end to end
• Pension scheme • Personal performance bonus • 26 days holiday each calendar year • Bupa health & dental cover • Group life assurance • EAP • Cycle to work scheme • Diversity, equity and inclusion • Reasonable adjustments accommodated during the hiring process
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