Applied AI Lead

About Emberline

Emberline is a two-partner investment firm that buys and builds founder-led businesses. Were operators at heart. We dont buy companies to financial-engineer them; we buy them because we believe hands-on support can make a real difference. That means embedding alongside management building infrastructure and doing the unglamorous work that turns good businesses into great ones.

We have three portfolio companies today and are building toward five. Youll be part of a tight core team but your day-to-day reaches across those companies and the operators finance leaders and advisors who support them.

Tasks

The Role

Were looking for an Applied AI Lead to drive AI implementation across our portfolio companies. This is a new role and frankly a new function. You wont find a playbook for this job because it doesnt exist yet.

Your mandate: make sure our portfolio companies are actually using AI. Not talking about it not exploring it but deploying it in ways that move the needle. That means customer service automation developer productivity tools sales and marketing workflows back-office operations and whatever else makes sense.

Youll work closely with the Managing Partner to identify opportunities evaluate tools and get things live. Then youll train portco teams to own what youve built. Rinse repeat across every company in the portfolio.

This is 80% hands-on implementation 20% evaluation and planning.

Theres no playbook for this yet at Emberline or anywhere else. The partners will be genuine thought partners as you build the function. The expectation is not that you arrive with everything figured out; its that youre willing to figure it out alongside us.

This is a high agency high opportunity seat with the ceiling set by you.

Key Responsibilities

AI Implementation

• Operational Audits: Assess each portfolio companys workflows across customer service sales marketing finance and operations then identify where AI can reduce friction cut costs or improve quality.
• Tool Deployment: Configure and deploy AI tools (chatbots copilots automation platforms etc.) across portco functions. Youre not building from scratch; youre pulling best-in-class tools off the shelf and making them work.
• Workflow Integration: Connect AI tools to existing systems like CRMs helpdesks marketing platforms and codebases. You need to understand APIs integrations and how data flows between systems.
• Rapid Prototyping: Test new AI applications quickly. Prove value in days or weeks not months. Kill what doesnt work; scale what does.

Vendor & Tool Evaluation

• Landscape Monitoring: Stay current on AI tooling: whats shipping whats vaporware whats actually production-ready. The space moves fast; you need to move with it.
• Vendor Screening: Evaluate vendors run trials negotiate pricing. Youre the filter between hype and reality.
• Build vs. Buy Decisions: Know when to use off-the-shelf tools when to customize and when to build something custom.

Enablement & Knowledge Transfer

• Team Training: Train portfolio compay teams to use and maintain the tools you deploy. The goal is handoff not dependency.
• Documentation: Build simple usable guides for each implementation. When you move on the portco team should be able to run it themselves.
• Cross-Portfolio Learning: What works at one portfolio company should benefit the others. Build repeatable playbooks.

Partner Support

• Weekly Syncs: Work closely with the Managing Partner to prioritize troubleshoot and align on roadmap.
• Experimentation Partner: Test new tools and approaches alongside the Partner. Be the person whos already tried it when the Partner asks What about X

Who You Are

Your background is probably in Product Management Solutions Engineering or Technical Operations. Some role where youve shipped things that required both technical and business judgment. Experience across multiple companies (agency consulting fractional or portfolio ops) is a plus not a requirement.

• The Translator: Youve written code (or managed engineers who did) but you also understand why the sales team hates their CRM and what good looks like in customer service. You move fluidly between technical and business conversations.
• Reaches for the Shelf Before the IDE: You reach for existing tools before writing custom code. Youve configured chatbots played with OpenRouter APIs and automated your own workflows just because you could. Youve used many of the popular AI tools outgrown them and kept moving.
• First in Line for Every New Tactic: You read changelogs for fun. You signed up for every AI beta and love stress testing a new workflow from X or whatever shipped last week. You have opinions about which tools are overhyped and which are underrated.
• Ships Before Its Perfect: Youd rather deploy something imperfect and iterate than plan forever. Youre comfortable with good enough for now when the alternative is perfect someday.
• At Home in Any Room: You can walk into a sales team meeting a finance review or an engineering standup and add value. Youre not intimidated by functions outside your core expertise.
• Low Ego High Ownership: Youll configure a chatbot in the morning and write a training doc in the afternoon. No task is beneath you if it moves the ball forward.

First 90 Days

Heres what the early months look like so you can picture Monday morning:

• Audit the portfolio. Spend time inside one target portfolio company talking to operators watching workflows and understanding where friction lives. Youll come out of that with a documented view of where AI can actually move the needle ranked by impact and effort.
• Get something live. Pick the highest-leverage opportunity and ship it. A customer service chatbot a sales automation a dev productivity tool: something concrete and working not a roadmap slide.
• Build handoff documentation. Everything you deploy needs to be owned and maintainable by the portco team after you leave. That means simple usable guides and training sessions that stick.
• Establish a vendor shortlist. Evaluate the landscape and land on a go-to stack for the use cases that keep coming up across the portfolio. Youll become the filter between AI hype and tools that actually work in the field.
• Establish the working rhythm. Build a clear cadence with the Managing Partner for prioritization troubleshooting and roadmap alignment. That rhythm is the operating system for everything else.

Requirements

Qualifications

• Hands-on experience with AI/ML tools in a professional context whether thats deploying chatbots integrating LLM APIs building automation workflows or similar. We care about what youve actually done not credentials.
• Strong understanding of APIs integrations and how systems connect. You dont need to be a software engineer but you need to be able to read API docs and understand whats possible.
• Excellent communication skills. Youll be explaining technical concepts to non-technical operators and translating business needs into technical requirements.
• Comfort with ambiguity. This role doesnt have a playbook. Youll figure it out as you go.
• This is a remote role but on-site engagements rapport building and investigations are a key requirement which will require travel.