[Hiring] AI Lead / Engineering Manager @saas.group

Role Description

This role is part of our Usersnap team, one of our growing brands at saas.group.

Usersnap is building AI-driven capabilities into the core of the product, from automated setup to intelligent surveys, contextual analysis, and reporting that generates itself based on connectors. We're looking for a hands-on AI Lead / Engineering Manager to lead the small engineering team that ships these capabilities, and to set the technical direction while doing it.

This is a player-coach role. You'll write and review code, make architecture calls, and define what "good" looks like for AI-native development. You'll also own team coordination, delivery timelines, workload allocation, and follow-through, so that work planned is work shipped, reliably and at production quality.

This is a full-time, engineering-led role. It is not combined with product management: the technical leadership scope is substantial on its own, and you'll partner with Product rather than absorb it.

AI capability is becoming core to Usersnap's product and go-to-market, especially as we move upmarket. You'll be the person who makes sure it ships well.

Your immediate impact in the first 3-6 months will be:

• Establish a clear delivery rhythm for the team: shared priorities, realistic timelines, visible workload, and projects that get followed through to launch.
• Assess the current state of the codebase, tooling, and practices, and set out a concrete engineering bar covering observability, testing, security, and architecture.
• Ship at least one AI-powered feature to production with the team, from prototype through launch, using timeboxed AI development.
• Build a strong working relationship with Product and the rest of the company, and be seen as a reliable owner of ambiguous, technically complex work.
• Raise the team's standards while keeping people motivated and engaged.

Qualifications

• Hands-on technical leadership with real engineering vision.
• 2-3 years of people leadership experience as a tech lead, engineering manager, or player-coach.
• A style that raises the bar with direct, specific technical feedback.
• Comfortable owning timelines, allocating work, and following projects through to the end.
• 7+ years of software engineering experience.
• Strong fullstack fundamentals.
• Practical experience with LLM APIs, prompt engineering, RAG, or similar techniques.
• Experience in observability and testing rigor.
• Solid SQL, schema design, and the ability to design scalable systems.
• Experience with Docker, CI/CD, and versioning practices.
• Experience integrating multiple LLM providers and using LangChain (or similar).
• Interest in security and compliance as we move upmarket.
• Ability to keep AI exploration bounded and ship on schedule.

Requirements

• Assess the current engineering bar and raise it.
• Define expectations in observability, testing, security, scalable architecture, and timeboxing.
• Own or steward key architecture decisions.
• Design, build, and ship AI-powered features alongside the team.
• Partner with Product on requirements and priorities.
• Identify problems and propose solutions independently.

Benefits

• Ultimate flexibility: 100% remote work.
• Freedom and autonomy in problem-solving.
• Minimum bureaucracy with efficient processes.
• Small, friendly team environment.
• Flexible time off to recharge.