Senior Value Engineer (Post-Sales)

📋 Description

• • Serve as a strategic advisor and thought leader to customers, leveraging Mimica’s AI-powered task mining platform to drive measurable business outcomes and maximize time efficiency.
• • Provide hands-on product support and issue resolution for customers and end-users encountering technical or operational roadblocks, ensuring seamless adoption and continued value realization.
• • Collaborate closely with Sales, Marketing, Solution Engineering, and Partner teams to co-develop and execute account growth strategies, identifying clear opportunities for upselling, cross-selling, and expansion within existing customer accounts.
• • Act as the primary internal advocate for customer needs, translating feedback into actionable insights for Engineering, Machine Learning, and Product teams to shape the platform’s roadmap and innovation priorities.
• • Design and execute customized customer success plans aligned with each client’s strategic initiatives, proactively identifying and removing barriers to adoption and value delivery.
• • Interpret Mimica’s process intelligence outputs to pinpoint operational inefficiencies, articulate business problems and opportunities, and deliver clear, actionable recommendations with concrete next steps for automation and transformation.
• • Develop and deliver training programs, workshops, and onboarding sessions tailored to diverse user groups to drive user adoption, increase platform engagement, and ensure long-term customer retention.
• • Communicate complex technical insights in simple, compelling terms through presentations, reports, and stakeholder meetings, bridging the gap between technical outputs and business impact for non-technical audiences.
• • Balance strategic planning with day-to-day execution in a fast-paced environment, prioritizing high-impact activities that align with both customer goals and company growth objectives.
• • Continuously refine internal processes and customer success frameworks to improve efficiency, scalability, and outcomes across the post-sales customer lifecycle.
• • Stay current with emerging trends in automation, process intelligence, and generative AI to maintain thought leadership and provide forward-looking guidance to customers and internal teams.
• • Demonstrate a proactive, action-oriented mindset by identifying inefficiencies in workflows—both customer and internal—and proposing data-backed improvements that enhance overall system performance and user experience.
• • Work closely with cross-functional teams to ensure alignment between customer expectations and product capabilities, contributing to a feedback loop that accelerates product-market fit and customer satisfaction.