Product Manager, Applied AI

Product Manager, Applied AI $135k – $170k No equity New York City 3 years of exp Full Time About the job

PRODUCT MANAGER, APPLIED AI

Thresh Consulting — Strategy in Action for the AI Era Salary: $135,000 – $170,000 + up to 20% annual bonus Location: New York City (hybrid)

ABOUT THRESH

Thresh Consulting is a modern digital consulting firm built for the AI era—where strategy, execution, and craft come together to deliver real outcomes with speed. Our specialty is helping organizations design, build, and scale digital products that create exceptional customer experiences and drive value. At Thresh, our Product Managers operate at the intersection of business, design, and technology—turning strategy into shipped products with measurable outcomes. We value clarity over complexity, quality over shortcuts, and learning as a core part of growth.

ROLE OVERVIEW

The Product Manager decides what's worth handing to an agent, then ships it with a small team of builders. You own the use case, the spec, and the definition of done, and you write them precisely enough that agents and engineers build from them directly. Some of that work faces customers. Some of it rebuilds how client teams deliver software. All of it ships to production. Most companies bolted AI onto the way they already worked. Coding got faster, while the tickets, handoffs, and approval gates stayed the same. At Thresh, our PMs help clients usher in a delivery lifecycle with AI at the foundation. You'll work in a small pod with an engineer and a designer, with end-to-end ownership of a build. There's no separate team to hand requirements to, you'll set the vision and help build what ships.

WHAT YOU'LL DO

FIND THE WORK WORTH DOING

Identify where agents can take on real work in a client's business or delivery process, and size each opportunity by the metric it moves Decide what stays human: where judgment, risk, or accountability call for a person, and where an agent should run on its own Kill use cases that make a better demo than a product

DEFINE IT SO AGENTS CAN BUILD IT

Write specs precise enough for agents and engineers to build from directly: behavior, constraints, edge cases, and acceptance criteria Turn acceptance criteria into evals with your engineers, so done is a test that passes, not an opinion Shape agent behavior with design: what the agent does, what it asks, when it hands off to a person, and how it fails

SHIP IN LOOPS

Run work in tight cycles of spec, build, evaluate, and ship, instead of passing it down a line of stages Prototype in days with AI tools, so clients react to working software early Own the backlog and priorities, and keep them lean enough that the team builds from them instead of around them

MEASURE WHAT MOVED

Start from the client's existing metrics, so progress shows up in numbers leaders already track Define success metrics that tie agent performance to business outcomes, such as cycle time, cost per task, conversion, and resolution rate Read eval results and agent traces alongside product analytics to decide what to fix next

DRIVE ADOPTION

Work with client teams until the new way of working is their default Capture what subject-matter experts know and get it into the context agents work from Help client leaders choose the forcing functions, such as shared agents, standards, and gates, that make adoption stick

LEAD WITH CLIENTS

Run reviews and roadmap sessions with client product and engineering leaders Explain tradeoffs plainly, including what agents still do badly and what isn't ready for production Contribute specs, templates, and patterns to Thresh's practice and to ProductOS, our shared context layer for builder teams

WHAT YOU BRING

EXPERIENCE

4+ years in product management, with products shipped to real users 1+ year owning AI or LLM-powered features in production, including how they were evaluated Specs and acceptance criteria that engineers have built from without a translation meeting Daily, hands-on use of AI tools (e.g., Claude, Claude Code, ChatGPT, Cursor) for research, specs, and prototyping, and a setup you can show us Enough technical fluency to make tradeoffs with engineers: APIs, tool use, retrieval, and evals, plus the ability to read code and agent traces Working command of Jira or a similar tool, used lightly Bonus: client-facing or consulting experience, telecom, media, or subscription businesses, or experience changing how a team delivers

HOW YOU WORK

You'd rather show a working prototype than describe one You decide with incomplete information and change course when the evidence does You write clearly and briefly You tell a client when an idea isn't worth building You try new AI tools the week they ship because you want to see what they can do Professional services experience is a plus

WHY THRESH

Competitive compensation with performance bonus Comprehensive healthcare benefits 401(k) with company matching Meaningful ownership of real product work Direct mentorship from senior product leadership and a clear path toward senior roles A culture built on clarity, craft, and outcomes Perks Health Insurance - Multiple health insurance options with up to an 80% employer contribution. 401k Plan - 401k plans with company matching. #J-18808-Ljbffr Thresh Consulting