Staff Product Manager, Send and Manage

Paperless Post•New York, NY

1d•$195,000 - $215,000

About The Position

Paperless Post is seeking a Staff Product Manager to define and execute a growth roadmap for our send and manage product experience. Used by millions of new and repeat customers per year, the invitation delivery and management experience connects event hosts and guests. As a hypothesis-driven and data-conscious team leader, you’ll create best-in-class experiences that delight users, and contribute directly to top company goals.

Requirements

10+ years of product management experience in a developer-centric environment with prior experience in funnel optimization, personalization, and communication product infrastructure strongly preferred.
Practice maximum ownership. Our customers’ problems are your problems. You are naturally curious, relentless in pursuing improvements, taking accountability for outcomes.
Excellent written and verbal communication skills. You deliver compelling data and insight-driven narratives for business, technical, and design audiences.
Hands-on experience using AI in both personal workflows and product development. You bring opinions about what works, what doesn’t, and are open minded about exploring new capabilities. You view AI as a way to amplify your personal and team impact, not just save time.
Comfortable operating across traditional role boundaries. Able to engage deeply in product, design, and engineering decisions - whether shaping UX, prototyping solutions, or working through technical tradeoffs.
Demonstrated track record of building trust and driving alignment across feature teams and stakeholder groups. You enjoy managing complex relationships across varying seniority levels and functions.
Experienced with KPI/OKR-based product development, crafting product tactics and acceptance criteria to achieve business and user goals.
Expertise with A/B testing, measuring the incrementality and holistic impact of your work. You recognize that compelling hypotheses and user experience patterns require test optimization and iteration. Opinions about when to test or not, depending on the goal.

Nice To Haves

Previous exposure, education, or side projects in product design or engineering are a strong plus.

Responsibilities

Drive Events and Revenue growth by building best-in-class product experiences across invitation sending and managing domains.
Work closely with Product and Engineering teammates and stakeholders to define and execute high impact projects that achieve quarterly goals.
Proactively define, publish, and deliver a rolling roadmap with your feature team, driving growth in prioritized OKRs. Partner with your Engineering Manager and Design Lead teammates to own the planning cadence and OKR achievement.
Collaborate deeply with leadership, Data, CustOps, CustInsights and Product Marketing teams to translate company goals into a prioritized backlog of focused send initiatives and GTM tactics. Lead with clarity, build trust, and influence at all levels of the company.
Using your intimate knowledge of the problem space, conceptualize and champion projects/tactics/tests that drive significant growth in the web and native host experience.
Serve as product-lead on our sending pipeline, owning the product relationship with our 3rd party vendors.
Partner closely with Browse PM, Product Marketing and Data to leverage viral loops that drive organic growth on the platform.
Drive the learning loop in your domain, serving as the in-house expert on sending product analytics and user insights. Quantitatively and qualitatively track success and failures, adjusting hypotheses and team priorities accordingly, with frequent high quality reporting to P/E and stakeholder audiences.
Craft hypothesis-driven, high frequency A/B testing strategies to optimize conversion, rapidly executing tests and iterating with Engineering and Data partners.
Lead your cross-functional team by enabling, inspiring, and including them in the product development process. Share and receive feedback that raises the bar for PM impact.
Operate with the leverage of a larger team by applying AI tooling across your workflow, including research and experiment synthesis, drafting of requirements, prototyping and scaled stakeholder communication.