Senior Product Manager, Marketplace

Since its inception in 2003, driven by visionary college students transforming online rent payment, Entrata has evolved into a global leader serving property owners, managers, and residents. Honored with prestigious awards like the Utah Business Fast 50, Silicon Slopes Hall of Fame - Software Company - 2022, Women Tech Council Shatter List, our comprehensive software suite spans rent payments, insurance, leasing, maintenance, marketing, and communication tools, reshaping property management worldwide.
Our 2200+ global team members embody intelligence and adaptability, engaging actively from top executives to part-time employees. With offices across Utah, Texas, India, Israel, and the Netherlands, Entrata blends startup innovation with established stability, evident in our transparent communication values and executive town halls. Our product isn't just desirable; it's industry essential. At Entrata, we passionately refine living experiences, uphold collective excellence, embrace boldness and resilience, and prioritize different perspectives, endeavoring to craft a better world to live in.
Entrata is seeking a Product Manager to lead strategy and delivery for our ecosystem initiatives, including the unified marketplace, external partner integrations, and monetization of partner services. This highly cross-functional, externally facing role is responsible for scaling adoption and driving revenue through a robust, partner-driven platform.

Responsibilities

• Own the vision, strategy, and execution of Entrata’s marketplace platform, enabling external vendors, service providers, and content partners.
• Define product strategy for partner onboarding, portals, listings, billing, and self-service integration tools.
• Drive alignment with go-to-market teams (alliances, sales, marketing) to expand partnerships and ecosystem revenue.
• Collaborate with the Integration and Developer Platform PM to ensure partners have the APIs, documentation, and support needed to build on Entrata.
• Analyze partner usage data and marketplace KPIs to optimize performance and inform roadmap decisions.
• Lead roadmap planning, requirements gathering, and backlog prioritization across distributed teams.
• Integrate AI capabilities into marketplace workflows to improve automation, partner experience, and scalability.
• Partner with engineering, design, and go-to-market teams to deliver products that meet enterprise customer needs.
• Conduct market research, competitor analysis, and customer feedback reviews to identify new opportunities.
• Apply agile methodologies, data-driven prioritization, and iterative release cycles to deliver high-impact features.
• Monitor product performance metrics, user behavior, and ecosystem health to guide continuous improvement.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Business, Law, or a related field.
• 5+ years of product management experience, with 2+ years in B2B SaaS ecosystems, platforms, or marketplaces.
• Proven experience building and scaling multi-sided platforms or developer ecosystems (e.g., app stores, integration hubs).
• Strong understanding of partner lifecycle, monetization models (rev share, tiering), and ecosystem metrics (GMV, attach rate).
• Track record of “0-to-1” product launches and scaling in fast-paced environments.
• Ability to balance strategic business priorities with tactical API and integration details.
• Strong understanding of modern software development processes and agile methodologies.
• Excellent communication skills, with the ability to influence cross-functional stakeholders and enterprise customers.
• Proven success in launching and managing enterprise software products.
• Experience leading cross-functional, geographically dispersed teams.

Preferred Qualifications

• MBA or advanced technical degree (e.g., MS in Computer Science).
• Familiarity with authentication protocols (OAuth, SAML, SSO), RBAC, and data protection frameworks.
• Experience collaborating with legal, security, and engineering on compliance-sensitive initiatives.
• Ability to navigate both technical depth and regulatory nuance.

AI Proficiency Expectations

• Prompt Engineering: Expertise in designing multi-step prompts with embedded logic and context chaining.
• Context Management: Skilled at structuring inputs to optimize LLM reasoning and retention.
• LLM Knowledge: Understanding of transformer mechanics, tokenization, fine-tuning, and RAG patterns.
• Automation Mindset: Experience building AI-augmented workflows to reduce manual effort and increase accuracy.
• Tooling Integration: Familiarity with connecting LLMs to APIs, vector database