AI Lead / Engineering Manager

Saasgroup; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible time off

Remote work

Transparent pay policy

Job summary

Saasgroup is seeking a player-coach engineering leader to guide a small team building AI-driven capabilities into a customer feedback product. You will contribute technically with LLMs, embeddings, and related tooling, while coordinating delivery, architecture decisions, and partnering with leadership on roadmap priorities.

You will own design reviews, set engineering standards, and ship AI-powered features from prototype to production, balancing quality, cost, and latency across the stack.

Qualifications

• 7+ years of software engineering experience, including shipped AI features in production.

Responsibilities

• Own team coordination, delivery timelines, workload allocation and follow-through so planned work ships reliably.

Skills

Leadership

Fullstack

AI features

LLM APIs

Code review

Architecture

Tools

LLM tooling

RAG

Job description

Role overview

This is a player-coach engineering leadership role for a small team building AI-driven capabilities into a customer feedback product. The work spans hands-on contribution with LLMs, embeddings, and related tooling, alongside team coordination, architecture decisions, and delivery discipline. It is a full-time engineering position focused on technical leadership, with product partnership rather than product ownership.

Responsibilities

• Own team coordination, delivery timelines, workload allocation, and follow-through so planned work ships reliably
• Set and enforce an engineering bar across observability, testing, security, scalable architecture, and timeboxed AI exploration
• Provide direct, constructive technical feedback in code review, design discussions, and one-on-ones
• Design, build, and ship AI-powered features alongside the team, from prototype through production quality
• Steward key architecture decisions, including model selection and the tradeoffs between quality, cost, and latency
• Flag technical risks early, particularly around AI reliability, cost, and edge-case behavior
• Partner with product on requirements and priorities, and with leadership on planning, resourcing, and sequencing

Requirements

• 7+ years of software engineering experience, including shipped AI features in production
• 2-3 years leading delivery for a small team as a tech lead, engineering manager, or player-coach
• Strong fullstack fundamentals across frontend, backend, and infrastructure
• Practical experience with LLM APIs, prompt engineering, RAG, or similar techniques in live systems
• A track record of raising engineering standards while keeping teams motivated and engaged

Nice to have

• Background in product management, sales, or operations
• Ability to process and synthesize complex information quickly
• Experience moving products upmarket into enterprise customers

Benefits and work setup

• Fully remote position with location-adjusted compensation shared in writing before the first interview
• Flexible time off, a small and collaborative team culture, and access to a broader community of SaaS operators
• Equal opportunity employer with a stated commitment to fair and transparent pay