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saas.group

Manages independent SaaS brands with exits

AI Lead / Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • You have 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 not essential.
  • You have 7+ years of software engineering experience and have shipped AI features to production, owning their lifecycle from problem framing through post-launch iteration.
  • You have full-stack fundamentals and can work across frontend, backend, and infrastructure as needed.
  • You have practical experience with LLM APIs, prompt engineering, retrieval-augmented generation, or similar techniques in live systems.
  • You build in logging, monitoring, and tracing from the start and insist on strong test coverage and automated testing, including evaluation of AI behavior.
  • You have solid SQL and schema-design skills and can design scalable pipelines and systems.
  • You define success metrics, design experiments, run offline and online evaluations, and make decisions based on results.
  • You are fluent with Docker, CI/CD, and versioning prompts, models, and datasets.
  • You have experience integrating multiple LLM providers, working with vector databases, and using LangChain or similar; you are comfortable fine-tuning when appropriate.
  • You have security and compliance experience, or a strong interest in those areas.
  • You can timebox AI development work, keep exploration bounded, ship on schedule, and avoid open-ended experimentation.
  • You identify problems and propose solutions independently, and are comfortable owning outcomes in a lean team.

Responsibilities

  • Own coordination, delivery timelines, workload allocation, and project follow-through for a small engineering team.
  • Break down ambiguous goals, sequence work with Product, flag slippage early, and ensure commitments are met.
  • Give clear, constructive technical feedback in code reviews, design discussions, and one-to-ones, raising standards without demotivating people.
  • Grow the team's capability, including its use of AI tooling to work faster without lowering quality.
  • Assess and raise the engineering bar; define and establish shared standards for AI-native development.
  • Set and enforce expectations for observability, including logging, monitoring, and tracing that expose AI behavior, cost, and failures.
  • Set and enforce expectations for testing, including test coverage, automated-testing rigor, and evaluation of AI outputs.
  • Set and enforce expectations for secure-by-default security and compliance practices.
  • Set and enforce expectations for scalable architecture and data pipelines that can support growing usage and integrations.
  • Set and enforce practical time limits on AI development so exploration remains bounded and ships.
  • Own or steward architecture decisions, including model selection, integration approach, and tradeoffs among quality, cost, and latency.
  • Flag technical risks early, especially those related to AI reliability, cost, and edge-case behavior.
  • 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 product problems.
  • Build across the stack as needed and ensure each shipped feature is tested, monitored, and maintainable.
  • Partner with Product on requirements and priorities, applying technical judgment when needed.
  • Partner with company leadership on technical planning, resourcing, and sequencing.

Desired Qualifications

  • Formal people-management experience is useful.

About the Company

saas.group

Manages independent SaaS brands with exits

saas.group coordinates and grows independent SaaS businesses. It acts as a conglomerate that acquires healthy SaaS brands and supports them to reach the next level, leveraging the experience of industry veterans in entrepreneurship, investing, and product leadership. The group offers a founder-friendly path with flexible exit options: founders can pursue financial freedom through an exit or choose to stay on in a leadership role on their most exciting project. The company’s approach is documented for interested teams on its blog, which outlines its philosophy and process. Unlike firms that push for rapid, unconditional acquisition, saas.group emphasizes partnerships with founders and selective exits to align incentives. The ultimate goal is to accumulate and scale a network of independent SaaS brands to form a large platform of connected SaaS products.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2018

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