Role Description We are looking for a hands-on, organized, and execution-driven Product Manager, Nest to own the day-to-day development and product operations of Nest. This is not a strategy-only product role. You will translate business needs, student feedback, coach requests, and operational pain points into clear product requirements, scoped tickets, backlog priorities, tested features, and launch updates. You will be the person who turns “we need this” into a structured product request, a clear engineering ticket, a shipped improvement, and a simple internal announcement that CX, coaches, and stakeholders can understand. What You’ll Own - Product Backlog Management: Own and maintain the Nest product backlog, including bug reports, feature requests, enhancement ideas, and operational needs from internal teams. - Product Requirements & Documentation: Write clear PRDs, feature briefs, rollout notes, user stories, and acceptance criteria that engineering, design, and non-technical teams can understand. - Ticket Creation & Scope Control: Create well-structured tickets with the problem, expected behavior, actual behavior, scope, out-of-scope items, edge cases, dependencies, and acceptance criteria. - Engineering & Design Coordination: Work closely with engineering and UX/design to confirm feasibility, clarify requirements, resolve blockers, review mockups, and keep development moving. - Launch Readiness & Rollout: Support launch planning, access rules, permissions, cohort logic, phased rollouts, QA coordination, and post-launch monitoring. - Internal Communication: Write clear feature updates and launch announcements for CX, coaches, leadership, and operations teams, explaining what changed, why it matters, and who is affected. - Post-Launch Follow-Up: Monitor feedback after releases, identify issues, track recurring themes, and turn learnings into future product improvements. What You’ll Do Day to Day - Review incoming feedback, bug reports, and product requests from CX, coaches, operations, students, and leadership. - Reproduce issues where needed and document them clearly. - Check for duplicates before creating new tickets. - Break larger product ideas into smaller, shippable phases. - Write and maintain PRDs for larger initiatives. - Partner with UX/design to turn workflows and mockups into buildable specs. - Run product working sessions with engineering and technical leads to triage, scope, and prepare work for development. - Coordinate QA and confirm that features or fixes are retested after deployment. - Draft and post launch updates so internal teams understand what changed and how to use it. - Track recurring feedback themes and proactively recommend improvements. Who Thrives Here - You are an execution-focused product operator who enjoys moving work from idea to ticket to launch. - You are a strong written communicator who can write both technical tickets for engineers and simple announcements for non-technical teams. - You are highly organized, detail-oriented, and comfortable keeping scopes tight, priorities clear, and follow-ups from slipping. - You can translate between engineering, design, CX, coaches, operations, and leadership. - You have a bias toward shipping and know how to move product requests forward in a structured way. Requirements - 3+ years of experience in product management, product operations, technical project management, or a similar software-related role. - Experience managing a product backlog. - Strong experience writing PRDs, tickets, user stories, acceptance criteria, or technical documentation. - Ability to work closely with engineering, UX/design, and customer-facing teams. - Strong organizational skills and attention to detail. - Comfort working in a fast-paced, remote-first environment. - Clear communication with both technical and non-technical stakeholders. - Strong availability during core business hours, especially 12:00 PM – 8:00 PM PT. Nice to Have - Experience with EdTech, admissions, coaching, student platforms, or service-driven products. - Experience with ClickUp, Jira, Linear, Asana, Notion, Slack, Figma, or similar tools. - Experience with phased rollouts, permissions, access rules, cohort-based releases, or entitlement logic. - Comfort using AI tools such as Claude, ChatGPT, Cursor, or similar tools to support product documentation, ticket writing, and product operations. - Experience coordinating QA or release readiness. Compensation - Base salary range: $40,000 – $50,000 USD per year, depending on experience and location. - This is a full-time remote position, paid on a bi-weekly payroll schedule of 26 pay periods per year. - A performance bonus may be offered in addition based on company and individual performance. What We Offer - Full-time remote position - Bi-weekly paychecks - Paid training - PTO - Paid holidays - High-growth environment - Long-term career growth opportunities - Collaborative and mission-driven team culture - Opportunity to directly impact the student, coach, and family experience through product development How to Apply To be considered, please submit: - Your resume - Application questionnaire responses - A short video introduction, recommended under 2 minutes - Any relevant portfolio, product documentation sample, case study, or example of product work, if available We are excited to learn more about you and your story.

• Own product experiences and systems that influence acquisition, conversion, monetization, expansion, and retention • Develop and evolve monetization strategies across pricing, packaging, subscriptions, billing, and account growth experiences • Identify opportunities to improve customer value realization while driving business growth • Prioritize initiatives based on customer impact, revenue opportunity, and strategic alignment • Lead the design, testing, and optimization of pricing and packaging models across products and customer segments • Own product requirements and execution for pricing, packaging, billing, checkout, upgrade, downgrade, and cancellation experiences • Partner with Engineering and Finance to ensure accurate implementation of monetization systems and policies • Monitor pricing performance and recommend changes based on customer behavior, market dynamics, and business goals • Own self-service growth opportunities across the customer journey, including acquisition, onboarding, activation, conversion, and expansion • Identify and optimize friction points within key conversion funnels • Partner with Marketing and Revenue teams to improve growth experiences across web, product, and lifecycle touchpoints • Evaluate emerging opportunities such as AI search, answer engine optimization (AEO), and new customer acquisition channels • Own enterprise administration capabilities that support team management, user provisioning, permissions, billing administration, and account governance • Partner with Revenue and Customer Success teams to identify opportunities that improve account expansion and team adoption • Improve administrative experiences that support both self-service and sales-assisted customer motions • Leverage analytics, experimentation, and AI-powered tools to understand customer behavior, usage patterns, conversion drivers, and pricing sensitivity • Define success metrics and monitor business performance across monetization and growth initiatives • Use data and customer research to identify opportunities and validate product decisions • Utilize AI-enabled tools to accelerate research, analysis, experimentation, and product development workflows • Partner closely with Engineering, Design, Revenue Operations, Marketing, Finance, Sales, and Customer Success to deliver growth and monetization initiatives • Align stakeholders around priorities, success metrics, and business outcomes • Communicate product strategy, tradeoffs, progress, and results to technical and non-technical audiences

• You'll be the dedicated people manager for all Product Owners - responsible for whether they grow, stay, and get better at their craft • You won't set product priorities or decide what any PO works on • You'll own the things that actually determine whether a PO function scales well: career development, hiring, coaching, team health, and the community that makes the whole function stronger over time • The role requires ability to travel across EU • Line management of all POs - 1:1s, performance conversations, and compensation reviews done with both clarity and care • Career development for every PO - levelling, individual development plans, and an honest path forward (not just a template) • Team health - engagement, conflict resolution, retention, and catching burnout before it becomes a problem • Hiring and onboarding end-to-end - from role definition through to final hire decision • Capacity allocation in partnership with product leadership - balancing where people are needed against where they need to grow • A real PO community with rituals people actually value - peer learning, retrospectives that improve how the function works, not just how people feel about it • Define and keep alive the career ladder and competency framework, and use it consistently • Coaching on the skills that don't appear in a backlog: stakeholder management, influence without authority, executive presence, and communication that lands.

• Own and manage the AI product backlog, ensuring it is well-prioritized, refined, and ready for engineering delivery • Work closely with engineering teams in day-to-day Agile/Scrum delivery, actively participating in sprint planning, refinement, and execution • Break down requirements into clear, actionable user stories with strong acceptance criteria • Collaborate deeply with engineers on solution design for AI features, APIs, integrations, and data flows • Participate in technical discussions, helping shape feasible solutions and challenging engineering decisions when needed • Translate customer and business needs into implementable technical requirements for AI-driven features • Ensure AI solutions (LLMs, agents, integrations) are practical, scalable, and aligned with real user needs • Define success metrics before development and validate outcomes after delivery • Identify delivery risks early (data, integration, model limitations) and help drive mitigation • Work closely with Product Management to align execution with AI roadmap and company strategy