Senior Growth PM: AI-Powered PLG & Revenue

DevHub, Inc.; United States; Hybrid; USD 181,000 - 213,000; Full time

Benefits offered by this job

Equity for all employees

Bonuses or commissions

Hybrid work model

Job summary

Engine is seeking a seasoned product leader to drive growth and AI-powered experiences across its travel platform. You will shape onboarding, activation, retention, and monetization strategies, partnering with engineering, data, design, and go-to-market teams to deliver seamless value for customers.

You will own experimentation at scale, test hypotheses, and translate results into product decisions. A bias for data-driven outcomes and cross-functional influence is essential.

Qualifications

• 5+ years of hands-on product management experience for self-serve or product-led B2B products, owning a key metric (activation, retention, revenue).
• Strong analytical and experimentation skills; design tests, interpret results, turn data into decisions.
• Fluent in experimentation/analytics tools (Amplitude, LaunchDarkly, SQL) and able to apply AI to prototype and ship fixes.
• Curiosity, outcome-focus, collaboration, and ability to drive cross-functional alignment.

Responsibilities

• Own Product-Led Growth strategies across onboarding, activation, retention and monetization metrics.
• Collaborate with engineering, design, data, and GTM teams to apply AI, LLMs and smart automation.
• Grow accounts through cross-sell, multi-product adoption and revenue expansion.
• Drive high-intent moments in-product and coordinate with sales and account teams.

Skills

Problem-solving

Analytical thinking

Experimentation

Tools

Amplitude

LaunchDarkly

SQL

Job description

Engine is seeking a seasoned product leader to drive growth and AI-powered experiences across its travel platform. You will shape onboarding, activation, retention, and monetization strategies, partnering with engineering, data, design, and go-to-market teams to deliver seamless value for customers.

You will own experimentation at scale, test hypotheses, and translate results into product decisions. A bias for data-driven outcomes and cross-functional influence is essential.