Technical project manager in AI monitoring

We’re looking for a senior full-stack engineer who is as skilled at leading people as they are at writing code. As a small startup, we need someone who leads and builds in equal measure. You’ll own the day-to-day delivery of our product, turning the product vision into a clear technical plan and guiding our engineers and AI researchers through it, while also building features yourself as a core part of the team.

• Turn product goals into a clear technical scope, plan and timeline
• Plan work cycles, set day-to-day priorities and keep work moving across engineering and AI research
• Be the team’s first point of contact for technical questions, blockers and trade-offs
• Coordinate with other departments so engineering has what it needs
• Review code and pull requests, including as part of our compliance-driven review process
• Advise on architecture, best practices and approaches to research problems
• Mentor engineers and help them grow
• Help shape our hiring process and grow the team, from interviewing candidates to onboarding new hires
• Build and ship full-stack features as a hands-on member of the team, alongside leading it
• Help shape technical decisions on our AI monitoring platform
• Keep the Product Manager updated on progress, risks and resourcing needs
• Report regularly to the CEO, senior management and shareholders, so everyone stays aligned on engineering progress, priorities and risks
• Adjust plans quickly when product priorities shift

• 7+ years as a full stack developer, with strong front-end and back-end skills
• Proven experience leading or managing an engineering team, formally or as a tech lead
• Strong project management skills: scoping, planning, prioritising and delivering to deadlines
• Confident code reviewer who raises the quality bar without slowing the team down
• Clear communicator who can explain technical detail to non-technical colleagues
• Comfortable in a small, fast-moving startup where you’ll both lead and build
• Fluent English, written and spoken
• designing scalable SaaS platforms and APIs, and making sound trade-offs between speed, quality and technical debt
• scoping experimental work with uncertain outcomes, setting time-boxed milestones, and knowing when to push on, pivot or stop
• turning research prototypes into reliable, tested, production-ready code
• testing, CI/CD, code review and secure development, including working within compliance requirements
• breaking complex work into clear tasks, spotting dependencies and risks early, and setting realistic timelines
• when the team hits a blocker, you find a way through rather than just flagging the problem
• you take ownership and get things moving without waiting to be asked
• you have a strong work ethic, hold yourself and the team to a high bar, and follow through on what you start
• you’re motivated by shipping a product that matters and helping a growing company win
• you keep the team, the Product Manager and leadership informed, and make complex technical detail easy to understand
• Будет плюсом: Experience in the AI industry, ideally in AI safety, monitoring, observability or MLOps, including familiarity with the machine learning lifecycle and how AI models are evaluated; Experience working with compliance frameworks (e.g., SOC 2, ISO 27001, ISO 42001) or tools like Drata; Experience with AWS

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