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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, as Signal sits at the center of Laurel's long-term mission to expose time and tie it to outcomes.

Responsibilities

• 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, including write-off detection, velocity analysis, and outcome measurement.
• Partner with Data Science on analysis, model development, and AI evaluation frameworks.
• Partner with Design to build intuitive, decision-grade dashboards.
• Drive research with firm leaders, admins, and practitioners to ensure insights remain actionable and tied to real workflows.
• Partner with GTM to position Signal as the intelligence layer.
• Prioritize the roadmap: Drive Signal from launch to enterprise standard, balancing near-term customer wins against long-term platform vision.

Requirements

• 7+ years in product management, including 3+ years building data or analytics products.
• Skilled at shaping ambiguous, 0→1 product areas and bringing them to market.
• Strong grasp of AI/ML-powered product development, particularly around insight generation.
• Comfortable working directly with enterprise clients, including C-suite and COO/CFO-level stakeholders, and can translate their needs into product decisions.
• Experience with enterprise or sales-led GTM motions, where product and sales move together.

Skills

• Product Management
• Data Products
• Analytics Products
• Complex Systems Design
• Messy Datasets
• Ambiguous Product Areas
• AI/ML Product Development
• Insight Generation
• Enterprise Client Interaction
• Sales-led GTM Motions

Location

• San Francisco
• New York

Work Type

• Hybrid
• Full-time

Experience Level

• 7+ years in product management
• 3+ years building data or analytics products

Benefits

• Equity
• 401K
• Bi-annual, in-person company off-sites

About the Company

• 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.
• To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian.

Equal Opportunity

• All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
• We encourage diverse perspectives and rigorous thinkers who aren't afraid to challenge the status quo.
• We strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work.
• We aim to build an environment that empowers us all to do the best work of our careers.