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:You'll have established a clear delivery rhythm for the team: shared priorities, realistic timelines, visible workload, and projects that get followed through to launchYou'll have assessed the current state of the codebase, tooling, and practices, and set out a concrete engineering bar covering observability, testing, security, and architectureYou'll have shipped at least one AI-powered feature to production with the team, from prototype through launch, using timeboxed AI developmentYou'll have built a strong working relationship with Product and the rest of the company, and be seen as a reliable owner of ambiguous, technically complex workYou'll have raised the team's standards while keeping people motivated and engagedYour responsibilitiesTeam leadership and deliveryOwn team coordination, delivery timelines, workload allocation, and project follow-through for a small engineering teamKeep work moving: break down ambiguous goals, sequence them with Product, flag slippage early, and make sure commitments are metGive clear, constructive technical feedback in code review, design discussions, and 1:1s, and raise standards without demotivating peopleGrow the team's capability, including how we use AI tooling to work faster without lowering qualityTechnical leadershipAssess the current engineering bar and raise it. Define what "good" looks like for AI-native development, and make it the shared standardSet and enforce expectations in five areas:Observability: logging, monitoring, and tracing that make AI behavior, cost, and failures visibleTesting: strong test coverage and automated-testing rigor, including evaluation of AI outputsSecurity and compliance: secure-by-default practices, as we move upmarketScalable architecture and data pipelines: designs that hold up as usage and integrations growTimeboxing: practical limits on AI development work, so exploration stays bounded and shipsOwn or steward key architecture decisions, including model selection and integration approach, and the tradeoffs between quality, cost, and latencyFlag technical risks early, especially around AI reliability, cost, and edge-case behaviorHands-on contributionDesign, build, and ship AI-powered features alongside the team, from prototyping through production qualityWork hands-on with LLMs, embeddings, and related AI tooling to solve real product problemsBuild across the stack as needed. Every feature you ship should be tested, monitored, and maintainablePartnershipPartner with Product on requirements and priorities, pushing back with technical reality when neededPartner with company leadership on technical planning, resourcing, and sequencingWhat You bring to the tableLeadershipHands-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 directionA 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 motivatedDelivery discipline. You're comfortable owning timelines, allocating work, and following projects through to the endTechnical depth7+ 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 codingStrong fullstack fundamentals. Comfortable across frontend, backend, and infrastructure as neededPractical 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'tObservability 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 behaviorScalable architecture and data pipelines. Solid SQL, schema design, and the ability to design pipelines and systems that scaleEvaluation mindset. You define success metrics, design experiments, run offline and online evaluations, and make decisions from the resultsProduction readiness. Docker fluency, CI/CD, and good habits for versioning prompts, models, and datasetsLLM platform breadth. Experience integrating multiple LLM providers, working with vector databases, and using LangChain (or similar); comfortable fine-tuning when it truly makes senseSecurity and compliance experience, or a strong interest in it, as we move upmarketPractical timeboxing of AI development work. You know how to keep AI exploration bounded, ship on schedule, and avoid open-ended experimentationHow you workYou identify problems and propose solutions on your own, rather than waiting to be told exactly what to buildYou're comfortable in a lean team where you own outcomes, not just ticketsWhat's in it for YouUltimate 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.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.
about 21 hours ago