Product Engagement Manager

Accountabilities: In this role, you will lead strategic customer engagements, ensuring successful deployments, sustained product adoption, and measurable business impact. Your responsibilities will include: Lead end-to-end customer deployments, from discovery and solution design to implementation, rollout, and value realization. Develop and execute customer engagement strategies that accelerate time-to-value, increase adoption, and expand platform utilization. Act as a product strategist for strategic accounts, aligning customer objectives with relevant capabilities, workflows, and operating models. Demonstrate platform features, AI innovations, and upcoming product capabilities to secure executive alignment and drive customer outcomes. Help customers operationalize AI-powered workflows, integrate AI capabilities into business processes, and measure their impact. Translate customer requirements into scalable deployment plans, solution architectures, and repeatable adoption playbooks. Collaborate with Product teams to influence roadmap priorities through customer insights, market feedback, and emerging use cases. Resolve complex deployment and adoption challenges involving integrations, configurations, enterprise workflows, and change management. Build trusted relationships with customer administrators, business leaders, executive sponsors, and internal cross-functional teams. Analyze adoption signals, platform usage, and business outcomes to identify retention risks and growth opportunities. Develop AI-assisted operating routines to automate repetitive customer workflows, identify expansion opportunities, and proactively address adoption risks. Stay informed about emerging AI technologies and introduce relevant innovations into customer conversations. Requirements: The ideal candidate combines strong SaaS experience, technical expertise, product strategy, and exceptional stakeholder management skills. You should be comfortable navigating complex enterprise environments while translating business needs into practical technical solutions. Key qualifications include: 5+ years of experience in SaaS, Professional Services, Customer Success, Solutions Engineering, Technical Consulting, or a similar field. Proven experience leading SaaS implementations, deployments, adoption initiatives, or customer transformation programs. Strong product and systems thinking, with the ability to connect business objectives to technical solutions. Technical proficiency with integrations, APIs, Single Sign-On (SSO), enterprise architecture, and complex customer environments. Excellent stakeholder management skills, with the ability to communicate effectively with administrators, operational teams, and executive leaders. Strong storytelling, presentation, and executive communication skills, including the ability to demonstrate products, articulate strategic vision, and influence decisions. A proactive builder mindset, with strong ownership, adaptability, and a willingness to experiment and execute in ambiguous environments. Familiarity with CRM, LMS, HRIS, BI platforms, enterprise integrations, or sales enablement technologies is a plus. Experience driving AI adoption, workflow automation, or AI-enabled transformation initiatives is an advantage. Understanding of customer success metrics, including adoption, Gross Revenue Retention (GRR), Net Revenue Retention (NRR), expansion, and customer health. A Bachelor's degree in Engineering, Computer Science, or a related discipline is preferred. Benefits: Annual salary ranging from $121,680 to $180,000 USD. Opportunities for professional growth and career development, with increasing ownership and responsibilities. Direct feedback and mentorship from experienced leaders invested in employee development. Exposure to global enterprise customers and opportunities to work on innovative AI-powered technologies. Collaborative, international work environment spanning more than five countries. Inclusive culture that values diverse backgrounds, perspectives, and experiences. Opportunity to contribute to product innovation and influence strategic business decisions. A builder-oriented culture that encourages experimentation, continuous learning, and taking initiative. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1