Head of Product

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🕒 vor 7 Tagen

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Vollzeit

🔴 Experte

✅ Produktmanager

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MSPbots.ai

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

🤖 Künstliche Intelligenz

☁️ SaaS

⚡ Produktivität

💰 Seed Round im 2023-07

Artificial Intelligence • SaaS • Productivity

MSPbots. ai ist ein Unternehmen, das sich auf Business Intelligence-Lösungen und Prozessautomatisierung für Managed Service Provider (MSPs) spezialisiert hat. Das Unternehmen bietet eine Reihe von Tools an, darunter Dashboards für die Echtzeit-Datenübersicht, Micro-Training-Bots zur Automatisierung von Managementaufgaben und Lösungen wie Next Ticket zur Optimierung der Einsatzplanung von Technikern. MSPbots. ai zielt darauf ab, die Produktivität und Effizienz von MSP-Besitzern und Managern zu steigern, indem es Dashboards für eine einheitliche Sichtweise, umfangreiche Integrationsmöglichkeiten und anpassbare Automatisierungs-Bots bereitstellt. Die Plattform ist darauf ausgelegt, die einzigartigen Herausforderungen von MSPs zu adressieren, indem sie Prozesse durchsetzt, Fehler reduziert und Gewinne steigert.

Beschreibung

• Own product revenue outcomes—driving both new revenue acquisition and client retention through product value delivery. • Define and pursue ARR targets tied to product launches, feature adoption, and upsell opportunities across the MSP client base. • Partner with Sales and Marketing to align product positioning, packaging, and pricing with revenue goals. • Identify expansion opportunities within the existing client base by deepening product adoption and launching complementary features. • Define and own the product roadmap across all product lines: BI Dashboards, Micro Training Bots, Next Ticket, Integrations, Featured Apps, and AI-powered apps. • Balance short-term commercial priorities (live products, alpha launches) with long-term strategic bets (future AI initiatives). • Make clear prioritization calls across a mixed portfolio—production support, active launches, and future development—ensuring the team is focused on the highest-impact work. • Architect and implement a scalable product development and implementation process, from discovery and scoping through QA, release, and post-launch review. • Establish frameworks for MVP definition, alpha/beta launch management, client feedback loops, and iteration cycles. • Ensure the product team operates with clarity, velocity, and consistency across all stages of the product lifecycle. • Lead, coach, and grow a product team of PMs and BAs, setting clear expectations, priorities, and performance standards. • Foster a culture of ownership, client-centricity, and data-driven decision-making within the product org. • Serve as the connective tissue between Engineering, Data Science, Design, Sales, and Marketing. • Drive the development, alpha launch, and scaling of AI-powered products, including ticket triage, ticket QA, and sentiment analysis. • Support ongoing AI projects and future AI initiatives, ensuring they are built with clear use cases, success metrics, and a path to revenue. • Stay current on AI/ML trends, GenAI capabilities, and the competitive landscape to inform product direction. • Engage directly with MSP clients to validate product value, gather requirements, and close feedback loops. • Ensure all products—especially new AI launches—deliver measurable, demonstrable value that justifies adoption and renewal. • Oversee documentation, onboarding materials, and training support to enable client success at scale. • Define KPIs for each product line tied to revenue, adoption, retention, and client satisfaction. • Report product performance regularly to the CEO with clear insights, risks, and recommendations. • Use data to drive prioritization decisions and communicate tradeoffs with confidence.

🎯 Anforderungen

• 5+ years of product management experience, with at least 1–2 years in a product leadership or senior PM role. • Demonstrated success taking AI/ML or GenAI-powered products from concept through launch and commercial scale. • Strong track record of contributing to revenue growth through products—whether through new launches, upselling, or retention. • Must have successfully released at least one AI product to production or commercial use. • Experience building or significantly improving product development processes in a scaling environment. • Strong technical acumen—comfortable working closely with engineering and data science teams. • Excellent communication and stakeholder management skills, with the ability to align cross-functional teams across the US, China, and the Philippines. • Analytical mindset with a data-driven approach to decision-making and prioritization. • Proven ability to manage a mixed portfolio—balancing live products, active launches, and future-state planning simultaneously. • Experience working in agile environments with multiple competing priorities.

🏖️ Vorteile

• Flexible work arrangements • Professional development opportunities