Principal Product Manager, AI Platform

About EverService Holdings, LLC:
EverService is a global holdings company specializing in B2B professional services for companies of all sizes, helping them to grow and scale. After years of operating across both marketing and engagement verticals, EverService has streamlined its portfolio and now concentrates exclusively on driving growth within its marketing ecosystem. Through its vertically integrated brands, EverService delivers performance-driven digital marketing solutions across the legal, home services, and professional services industries. Our agencies specialize in SEO, paid media, website design and development, conversion optimization, creative services, and analytics, leveraging advanced technology and AI to deliver measurable business impact. Backed by deep industry expertise and a commitment to scalable, data-driven execution, EverService is the trusted growth engine for the sectors we serve, helping businesses strengthen their online visibility, generate high-intent demand, and drive measurable, sustainable growth through digital marketing.
Summary of Position:
EverService is a private equity backed holding company running three agency brands: LawRank and iLawyer in legal, RYNO in home services. Roughly 1,000 clients. We're profitable, we're not a startup, and we're rebuilding the operating layer of the business around AI rather than bolting it on.
That means replacing manual work with AI-driven systems, and replacing vendor tools with a platform we own.
We're looking for someone to help figure out what we build, and then help build it.
This is not a roadmap-management job. You will find problems, decide which ones matter, design the solution, prototype it yourself with AI, and work with our engineers to turn it into something that runs reliably for 1,000 clients. If that sounds like the job you want, keep reading.
Position Responsibilities:
Real problems currently on our list, not hypotheticals:
Content decay across :1,000 client websites. Pages lose ranking over time. Our SEO team catches it manually and inconsistently. You'd define what "decayed" actually means in measurable terms, prototype against our real data, prove it beats a human, then decide whether the output is an alert, a queued fix, or an automatic one
A decision engine, not a dashboard. We're replacing a vendor reporting tool with our own. It serves a business owner asking if the money is working, an ops manager running the day-to-day, and our strategists managing the account. Same data, three different jobs to be done. Most reporting products fail here. You'd own getting it right
Closed-loop attribution. Connecting a call, a chat, or a form fill through to revenue that actually landed. Data engineering is building the plumbing this quarter. The product judgment about what people do with that information isn't built
One platform, three agencies, two industries. Something built for an HVAC company has to work for a law firm, where the cycle is longer and one conversion is worth 50x more. What's shared, what's configurable, and what shouldn't be generalized at all is a constant call, and getting it wrong is expensive in both directions
How We Work:
You'll prototype. We expect you to use AI tools to build working software. Real prototypes against real data, not mockups. That's how you'll prove an idea is worth engineering time and how you'll write a spec that isn't guesswork
Our engineering team productionizes. Your prototype's job is to prove the concept and de-risk the build. You are not shipping to production alone, and you're not tossing specs over a wall either. You'll be in it with them
We're a small team with a lot of surface area. Nobody here is going to tell you what to work on every week. That's the appeal if you're the right person and the problem if you're not. You'll report to the VP of Product and Technology, and will be your escalation path when you need a decision made or a door opened
What Success Looks Like:
Horizon
Core Expectations
First 90 Days
You have identified a friction point, shipped a functional prototype against real data, and validated it against manual workflows. You deeply understand our operational rhythms.
12 Months
Multiple AI-driven capabilities are in production, measurably improving efficiency. You are the go-to partner for agency leaders looking to solve operational hurdles.
Position Requirements:
You find problems, not requirements. You'd rather sit with an ops person for an hour than read a ticket
You simplify. Your instinct on a broken workflow is often to delete it, not build a tool for it
You build. You've shipped things with AI coding tools. You can show them to me
You know where AI actually breaks. You understand the difference between a demo that works and a system that's right 92% of the time across 1,000 clients, and how to design for the other 8%
You think in systems. Second-order effects, blast radius, what this build makes cheaper next time. You also know when not to generalize
You write clearly. A one-page memo from you should make a decision obvious
What we are NOT looking for:
Years of experience. Your degree. Whether "Product Manager" has ever been your title. Whether you know home services or legal marketing. That's learnable and I'll teach you.
Some of the best people for this role are failed founders, operations people who taught themselves to build, engineers who care more about the problem than the code, or agency strategists who quietly automated their own job. If that's you, apply.
This position is not for you if:
You want to own a roadmap and run ceremonies
Your AI experience is mostly strategy decks and vendor evaluations
You need an established product organization around you
You want a clean, well-defined problem space
You want the interesting half of the job only. Month one is largely sitting with SEO analysts and account managers watching them do things by hand, in spreadsheets, on calls
Application Process:
When you apply, you'll be asked to share a link to:
Something you built, ideally with AI tools. A working prototype, an internal tool, a script that automated something real, a side project. It does not need to be polished, successful, or still running.
Include up to 200 words on: what problem it solved, who it was for, and what you'd do differently now
If you can't share the thing itself (it's internal, it's gone, it's under NDA), describe it and show anything else you've built.
The Interview Process:
First round interview with a recruiter.
A conversation with the VP of Product and Technology
A working session where we build against a sanitized slice of our real data together
A conversation with our engineering lead and with our our C-Suite
Our Benefits - We’ve Got You Covered!
Performance-based bonuses to reward excellence
Medical, Dental, Vision, and Life Insurance
401(k) matching to help you plan for your future
6 weeks of paid parental leave for new parents
$2000 annual tuition reimbursement for continued education
Monthly data stipend to support your remote work environment
Paid Vacation and sick time off for work-life balance
11 paid holidays to enjoy throughout the year
Paid Days for You to reset and recharge
Paid birthday holiday to celebrate your special day
Comprehensive Employee Assistance Program for personal support
Leadership and career advancement opportunities
Anniversary rewards to celebrate milestones
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This target compensation range is subject to multiple factors, including role, level, experience, and location. As you go through the interview process, your recruiter will work with you to identify a competitive base salary within the proposed target compensation range that will get your excited about your future with us.

Work arrangement
Yes