Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform.

Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you.

Product Manager, Signal

Time Intelligence Platform

Location · San Francisco or New York (Hybrid) Type · Full-time Department · Product

About Laurel

Laurel is on a mission to return time. As the first company to apply AI to time in professional services, we're transforming how organizations capture, analyze, and optimize their most valuable resource.

Our platform automates work time capture, connects time data to outcomes, and powers decision-making across legal, accounting, and consulting. We serve many of the world's largest firms — including EY, Grant Thornton, and Latham & Watkins — processing over 1 billion work activities annually that have never before been collected or structured.

Our roadmap builds in three stages:

Time Automation (automated timesheets) → Time to Cash (billing lifecycle automation) → Time & Organization Intelligence

Signal is the interface through which we expose how time is spent across firms, and help leaders direct their organizations toward higher leverage.

About Signal

Signal is Laurel's Organizational Intelligence Platform. If Time to Cash is about "time worked to time paid," Signal is about turning time data into actionable intelligence — transforming digital work data into insights that uncover hidden write-offs, measure velocity, detect tool usage patterns, and surface the organizational behaviors that impact profitability.

Signal is not a BI tool bolted onto timesheets. It's a category-defining product that changes how firms understand and direct time. By surfacing where work creates value — and where it doesn't — Signal gives leaders the ability to rewire incentives from selling time to selling outcomes.

Signal is live. This role is critical to scaling it: shaping how time data is visualized, how insights become workflows, and how we help firms make decisions that create leverage instead of efficiency.

About the Role

As Product Manager for Signal, you'll lead the development of Laurel's intelligence layer, partnering closely with Design, Data Science, Engineering, and GTM to scale the product across industries.

This is a highly strategic role. Signal sits at the center of Laurel's long-term mission to expose time and tie it to outcomes.

What Success Looks Like in Year One

• Enterprise adoption — Signal is deployed and actively used at 5+ enterprise accounts, with measurable adoption and a clear ROI narrative.

• Shipped impact — You've launched at least 2 major insight modules with validated customer outcomes.

• Repeatable discovery — You've established a discovery process with firm leaders across legal, accounting, and consulting.

• A story GTM can sell — GTM has a clear, data-anchored Signal positioning story you helped shape.

What You'll Do

• Own the strategy. Define and execute the product strategy for Signal across legal, accounting, and consulting verticals.

• Turn data into insight. Translate raw time data into findings that matter to firm leaders: write-off detection, velocity analysis, and outcome measurement.

• Partner with Data Science on analysis, model development, and AI evaluation frameworks.

• Partner with Design