Principal Product Management, Growth

Responsibilities

• Own a portfolio-scale growth surface end to end, from acquisition and signup through activation, monetization, upgrade, and sales-assist signals.
• Define multi-quarter growth theses, prioritize compounding channels, and rebalance investment using unit economics.
• Establish a structured experimentation cadence, including hypotheses, success thresholds, invalidation signals, retrospectives, and rapid iteration.
• Design self-serve experiences across landing pages, signup, onboarding, empty states, paywalls, upgrade flows, lifecycle communications, and AI-discovery surfaces.
• Analyze funnels and cohorts independently, identify leaks, validate fixes, and distinguish meaningful results from noise.
• Shape credit economics, pricing, gating, PQL triggers, upgrade mechanics, and expansion opportunities.
• Coordinate with sales, marketing, customer success, engineering, design, analytics, finance, and executive leadership.
• Hire, mentor, and calibrate growth product managers and raise experimentation quality across the team.
• Present growth mechanics, funnel narratives, and investment decisions to senior executives and boards.

Requirements

• 8–12 years of product management experience, including 4+ years in growth, product-led growth, or self-serve product roles.
• Direct P&L ownership at portfolio scope with measurable growth outcomes.
• Experience presenting growth mechanics and investment decisions to CEO, CRO, CFO, or board-level stakeholders.
• Experience hiring, mentoring, or calibrating growth product managers.
• Hands-on builder who can ship landing pages, signup flows, and in-product experiments; collaborate directly with designers and engineers; write copy; and prototype with code.
• AI-fluent, with a public point of view on LLM discovery, agent-readable flows, MCP distribution, GEO/AEO, and AI-driven funnels.
• Strong marketing fluency across SEO, paid acquisition, content, and lifecycle marketing.
• Structured experimentation experience, including A/B tests, multivariate tests, holdouts, and pre/post analysis at sprint cadence.
• Strong analytics and SQL skills, including independent work in Snowflake.
• Working knowledge of consumption-based pricing, credit economics, freemium mechanics, and PQL frameworks.
• B2B SaaS experience.

Nice-to-haves

• Data, go-to-market, or sales-technology domain experience.
• Experience with LLM-first discovery, MCP-as-distribution, partner-driven trials, or agent-readable onboarding.

Compensation

• Annual salary range: $151,900–$238,700.