Who will love this job

• A builder – You have a proven track record of taking products from concept to scale. You thrive in ambiguity, move fast, and know how to find signal in noise when there's no playbook.
• An AI-native practitioner – You use AI to fundamentally accelerate how you do product management from discovery to delivery. You stay on the frontier and bring others along with you.
• A B2C product thinker – You deeply understand high-volume, self-serve, low-touch consumer platforms. You think in terms of funnels, engagement loops, activation flows, and retention mechanics.
• A force multiplier – You raise the bar beyond your own product. You coach other PMs on AI-native practices, shape how the broader product org works, and serve as a thought partner to R&D and Product leadership on how to level up.
• A decisive, data-driven leader – You use data and rapid experimentation to make high-quality decisions at velocity. You have strong product sense and the conviction to push back on senior leaders when the evidence points a different direction.
• Relentlessly curious about users – You are motivated by deeply understanding user behavior and building products that genuinely improve people's lives. You will pioneer Greenhouse's first-ever direct relationship with jobseekers.

What you’ll do

• Own the product roadmap for the candidate-facing MyGreenhouse experience — define what we build for jobseekers, why, and in what order, grounded in user insight, data, and strategic alignment with the broader MyGreenhouse vision and Greenhouse's business objectives.
• Build and ship AI-powered experiences for jobseekers — develop agentic AI solutions that solve real problems for candidates.
• Establish a consumer growth engine — define and optimize growth loops from acquisition through activation and retention, using rapid A/B testing, funnel analysis, and data-driven experimentation to hit aggressive adoption targets.
• Pioneer a new discovery motion with jobseekers — build the research, feedback, and insight infrastructure to create a continuous learning loop between users and the product.
• Shape the broader MyGreenhouse vision — serve as a key thought partner to MyGH leadership, the Product Management Leadership Team, and the CEO on where MyGreenhouse is headed, bringing deep product sense and user insight to the strategic conversation.
• Partner with Engineering, Design, and Product Marketing — work closely with your triad and GTM partners to align on technical feasibility, design excellence, and go-to-market strategy.
• Elevate the product org's AI capabilities — model and teach AI-native PDLC best practices across the PM team; serve as a key thought partner to the R&D leadership team on Greenhouse's overall AI product strategy.
• Additional projects and responsibilities as business needs evolve.

You should have

• 8+ years of product management experience, with 5+ years in B2C or consumer environments.
• Demonstrated success building, either at a startup or launching a net-new product line within an established company.
• Deep experience with high-volume, self-serve consumer platforms — you understand the dynamics of low-touch onboarding, product-led growth, engagement loops, conversion optimization, and marketplace mechanics.
• Hands-on experience building and shipping AI/ML-powered products that generated measurable user value.
• Mastery of experimentation and growth practices — A/B testing, funnel optimization, behavioral analytics, and data-informed prioritization are second nature to you.
• Strong product sense and strategic thinking — you know what to build next and can articulate a compelling "why" to executives, engineers, and cross-functional partners alike.
• Exceptional communication skills — you win hearts and minds across diverse stakeholders and can educate and influence senior leaders with clarity and conviction.
• Proven ability to operate in high-ambiguity environments — you make good decisions fast, stay resilient through setbacks, and keep teams oriented toward outcomes.
• Experience with AI-native product development workflows and tools (e.g., AI-assisted prototyping, vibe coding, AI-driven user research synthesis).