Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 9, 2026.
Join Sharpist, a fast-growing B2B SaaS company focused on personal and professional development. As a Senior Product Engineer, you will take ownership of product features from problem to production, working closely with Product and Design to create a focused product experience. You will contribute across the stack and use LLMs as a core part of your workflow. Enjoy flexible working hours, a hybrid working model, and a range of benefits including a company pension scheme and unlimited coaching sessions.
Missions
- Prendre en charge les fonctionnalités du produit, de la compréhension du besoin à la production.
- Collaborer avec les équipes Produit et Design pour transformer les insights clients en une expérience produit ciblée.
- Utiliser les outils d'IA et de LLM comme partie intégrante de votre flux de travail, tout en validant leur sortie.
Profil recherché
- You think like a Product Engineer: you’ve owned full feature development, including defining the solution rather than only building what someone else specified- You can write a clear, technically grounded specification, and you know what makes one bad
- 6+ years of professional software engineering experience
- You have strong intuition for UX: you notice what confuses users, what creates friction, and what feels right
- You speak and write fluent English
- You use AI and LLM tools as a core part of how you work across specifications, prototyping, and implementation, not as a gimmick. Self-directed experiments and side projects count as evidence
- Clarity: You write specs that don't need a meeting to explain
- Mission belief: You genuinely care about helping people. That's why you're here
- Ownership: When ownership is unclear, you step forward. When you're blocked, you find a solution; you don't shift the problem up
- Judgment: You know when something is technically sound vs. technically plausible-but-painful
- Speed: You move fast without creating rework for others
- Experience building AI or LLM product features, including prompting, evaluation, or guardrails
- Experience working in a Startup, B2B SaaS or HR tech environment

