AI Engineer – Team Lead

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October 30

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Pitch

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B2B • Software • SaaS

Pitch is a powerful presentation platform designed to elevate the way teams create and share their presentations. With customizable templates, real-time collaboration, and comprehensive analytics, Pitch helps users craft visually appealing and insightful decks. Trusted by millions, Pitch streamlines the process of pitching ideas and closing deals, empowering users to maintain brand consistency while effectively communicating their messages.

51 - 200 employees

Founded 2018

🤝 B2B

☁️ SaaS

📋 Description

• Lead by example: guide and support the AI team, balancing innovation with delivery, and ensuring clear alignment across disciplines. • Design, build, and integrate AI-powered features directly into Pitch’s product experience. • Work closely with product and design to identify where AI can meaningfully augment user workflows. • Evaluate, and deploy models for production use. • Collaborate with infrastructure and backend teams to ensure scalability, reliability, and privacy of AI systems. • Stay up to date with advancements in generative AI, NLP, and multimodal models - and bring new ideas into the product.

🎯 Requirements

• Leadership capability: able to coordinate projects, manage scope and priorities, and communicate progress to stakeholders. You have previous experience of having led teams and taken them from idea conception to release of a finished product. • Proven experience developing and deploying AI or ML systems in production environments. • A genuine passion for AI - you follow the space closely, experiment with new tools, and think deeply about how AI can elevate user experiences. • Solid understanding of modern AI/ML techniques, particularly in NLP, generative models, and embeddings. • Strong programming experience. • While prior experience with Clojure or ClojureScript is a big plus, it’s not a requirement - we’re happy to help you learn. If you have functional programming experience in languages like F#, Lisp, Haskell etc. - even better. • Familiarity with APIs and frameworks such as OpenAI, Claude, Fal, etc. • Experience with prompt engineering, model evaluation, and iterative experimentation. • Comfortable collaborating in a cross-functional, product-focused team. • A pragmatic mindset: you care about impact, not just technology. • Nice to Haves • Experience with vector databases, retrieval-augmented generation (RAG), or multimodal systems. • Familiarity with building AI-powered user experiences in web applications. • Contributions to open-source AI/ML projects or prior work with presentation, productivity, or design tools. • Experience using AI to architect, develop and validate features.