saas.group - AI Lead / Engineering Manager
Requirements
• Leadership • Hands-on technical leadership with real engineering vision. You've led delivery for a small team, ideally for 2-3 years of people leadership, as a tech lead, engineering manager, or player-coach. Formal people-management experience is useful, but the essential need is someone who can wrangle delivery and provide senior technical direction • Hands-on technical leadership with real engineering vision. • A style that raises the bar. You give direct, specific technical feedback and hold high standards, and the team leaves those conversations more capable and more motivated • A style that raises the bar. • Delivery discipline. You're comfortable owning timelines, allocating work, and following projects through to the end • Delivery discipline. • Technical depth • Technical depth • 7+ years of software engineering experience, and you've shipped AI features to production and owned the lifecycle from problem framing to post-launch iteration, not just prototypes or AI-assisted coding • 7+ years of software engineering experience • Strong fullstack fundamentals. Comfortable across frontend, backend, and infrastructure as needed • Strong fullstack fundamentals. • Practical experience with LLM APIs, prompt engineering, RAG, or similar techniques in live systems, with good judgment about when AI is the right tool and when it isn't • Practical experience with LLM APIs, prompt engineering, RAG, or similar techniques • Observability and testing rigor. You build in logging, monitoring, and tracing from the start, and you insist on strong test coverage and automated testing, including evaluation of AI behavior • Observability and testing rigor. • Scalable architecture and data pipelines. Solid SQL, schema design, and the ability to design pipelines and systems that scale • Scalable architecture and data pipelines. • Evaluation mindset. You define success metrics, design experiments, run offline and online evaluations, and make decisions from the results • Evaluation mindset. • Production readiness. Docker fluency, CI/CD, and good habits for versioning prompts, models, and datasets • Production readiness. • LLM platform breadth. Experience integrating multiple LLM providers, working with vector databases, and using LangChain (or similar); comfortable fine-tuning when it truly makes sense • LLM platform breadth. • Security and compliance experience, or a strong interest in it, as we move upmarket • Practical timeboxing of AI development work. You know how to keep AI exploration bounded, ship on schedule, and avoid open-ended experimentation • Practical timeboxing of AI development work. • How you work • You identify problems and propose solutions on your own, rather than waiting to be told exactly what to build • You're comfortable in a lean team where you own outcomes, not just tickets
Responsibilities
• Team leadership and delivery • Own team coordination, delivery timelines, workload allocation, and project follow-through for a small engineering team • Keep work moving: break down ambiguous goals, sequence them with Product, flag slippage early, and make sure commitments are met • Give clear, constructive technical feedback in code review, design discussions, and 1:1s, and raise standards without demotivating people • Grow the team's capability, including how we use AI tooling to work faster without lowering quality • Technical leadership • Assess the current engineering bar and raise it. Define what "good" looks like for AI-native development, and make it the shared standard • Set and enforce expectations in five areas: • Observability: logging, monitoring, and tracing that make AI behavior, cost, and failures visible • Testing: strong test coverage and automated-testing rigor, including evaluation of AI outputs • Security and compliance: secure-by-default practices, as we move upmarket • Scalable architecture and data pipelines: designs that hold up as usage and integrations grow • Timeboxing: practical limits on AI development work, so exploration stays bounded and ships • Own or steward key architecture decisions, including model selection and integration approach, and the tradeoffs between quality, cost, and latency • Flag technical risks early, especially around AI reliability, cost, and edge-case behavior • Hands-on contribution • Design, build, and ship AI-powered features alongside the team, from prototyping through production quality • Work hands-on with LLMs, embeddings, and related AI tooling to solve real product problems • Build across the stack as needed. Every feature you ship should be tested, monitored, and maintainable • Partnership • Partner with Product on requirements and priorities, pushing back with technical reality when needed • Partner with company leadership on technical planning, resourcing, and sequencing
Benefits
• Ultimate flexibility: We're 100% remote. You can work from wherever you like, whenever you like. • Freedom and autonomy: We're a high-trust team, and you'll be given lots of flexibility to solve problems in your own way — with plenty of help from the team when you need it. • Minimum bureaucracy: We don't like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady & sustainable. • Small & friendly team: We help each other out, have fun, and joke around. • Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally. • Flexible time off: We want you to recharge your batteries when needed. • Usersnap is part of saas.group and we have a shared goal of succeeding together. • What is saas.group? • Think of us as the driving catalyst behind your favorite software success stories. saas.group, established in 2017, is on a mission to turbocharge promising B2B SaaS ventures, unlocking their full potential. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. With a dynamic, fully remote team of nearly 380+ colleagues spanning 50+ countries we are truly global and we are rewriting the playbook on SaaS innovation and collaboration. We grow 25 exciting brands under our umbrella. Feel free to explore our Candidate's Hub to get an insider's view, dive into our culture, gain valuable insights into our teams and how we work. • Also, don’t forget to follow saas.group on LinkedIn to stay up-to-date on our job openings, podcast episodes, and with all things happening at our company. • We don’t just simply offer you to “take a job with us” but rather to “join us on this journey” to build the world's largest platform of independent SaaS companies. • Sounds like something you’re up for? Feel free to apply even if you don’t check all these boxes. We believe in the power of diversity and fresh perspectives to spice up our team. Your application might just be the missing ingredient!
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