Mimica
What we are building Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource - time and work more efficiently, with greater purpose and impact. Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica's process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work. What will you own We're looking for an experienced, innovative Product Manager to join our Insights Team . The Insights Team owns the customer-facing part of our product, delivering actionable insights to drive efficiency and value for our clients. You'll be the voice of the customer within the team, driving the strategy and Product Roadmap. Strategically, this role is crucial for us to enhance our understanding of users and ensure successful product differentiation. You'll have the opportunity to utilise your skills and vision to enhance the value of the insights our platform delivers to clients by both refining and developing new capabilities. This role is ideal for someone who thrives in a data-driven environment, has a passion for user-centric product development, and excels at iterative enhancements and deep user empathy. Part of Your Day-to-Day Own the strategy and roadmap for the customer-facing components of our platform, focusing on insights and user experience. Be embedded within the Insights Team to serve as the voice of the customer, ensuring their needs and feedback shape product decisions. Drive improvements to existing features and develop new capabilities to deliver greater value to clients. Uplevel the team's understanding of user behaviour and needs through research, data analysis, and customer feedback. Partner cross-functionally with Engineering, Design, and leadership to translate broad goals into clear product plans and priorities. Identify high-value problems and define clear, actionable requirements to address them. Engage in technical discussions with engineers to ensure seamless implementation of features. Conduct research to inform product development and validate new ideas. Leverage data-driven insights to strategically incorporate state-of-the-art AI/ML into customer-facing features. Deeply understand customer pain points, use cases, and market dynamics in the context of enterprise automation and insights. Requirements Proven experience as a Product Manager for a data-driven or insights-focused product , with a track record of improving and expanding established products. Hands-on experience with the full product development lifecycle, including discovery, design, execution, and iterative improvements for complex product suites. Systems thinker with a strong technical background or understanding, particularly in data-driven products. Hands-on experience with AI/ML products and their application in delivering customer value. Deep understanding of enterprise automation, customer insights, and user experience best practices. Strategic planning skills and the ability to create and manage a product roadmap. Strong stakeholder management skills, with experience working with a wide range of stakeholders, including C-level executives, Engineers, and Designers. Experience thriving in a fast-paced environment, with the ability to navigate and clarify complex and ambiguous situations. Fluent in English, with excellent communication skills. Hiring Steps Recruiter Screen (30-45 mins) Product Interview - with our Co-founder/CTO and our Product Lead (60 mins) Take-Home Assignment + Presentation (60 mins) Behavioural Interview (60 mins) What we offer Generous compensation + stock options - aligned with our internal framework, market data, and individual skills. Distributed work: Work from anywhere - fully remote, in our hubs, or a mix. Laptop, remote setup stipend, and co-working budget Flexible schedules and location ️ Ample paid time off, in addition to local public holidays Enhanced parental leave ️ Health and retirement benefits Annual L&D budget Annual workaways and regular virtual & in-person socials Opportunity to contribute to groundbreaking projects that shape the future of work Note: Some benefits may vary depending on location
What we are building Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource - time and work more efficiently, with greater purpose and impact. Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica's process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work. What will you own We're looking for an experienced, innovative Product Manager to join our Insights Team . The Insights Team owns the customer-facing part of our product, delivering actionable insights to drive efficiency and value for our clients. You'll be the voice of the customer within the team, driving the strategy and Product Roadmap. Strategically, this role is crucial for us to enhance our understanding of users and ensure successful product differentiation. You'll have the opportunity to utilise your skills and vision to enhance the value of the insights our platform delivers to clients by both refining and developing new capabilities. This role is ideal for someone who thrives in a data-driven environment, has a passion for user-centric product development, and excels at iterative enhancements and deep user empathy. Part of Your Day-to-Day Own the strategy and roadmap for the customer-facing components of our platform, focusing on insights and user experience. Be embedded within the Insights Team to serve as the voice of the customer, ensuring their needs and feedback shape product decisions. Drive improvements to existing features and develop new capabilities to deliver greater value to clients. Uplevel the team's understanding of user behaviour and needs through research, data analysis, and customer feedback. Partner cross-functionally with Engineering, Design, and leadership to translate broad goals into clear product plans and priorities. Identify high-value problems and define clear, actionable requirements to address them. Engage in technical discussions with engineers to ensure seamless implementation of features. Conduct research to inform product development and validate new ideas. Leverage data-driven insights to strategically incorporate state-of-the-art AI/ML into customer-facing features. Deeply understand customer pain points, use cases, and market dynamics in the context of enterprise automation and insights. Requirements Proven experience as a Product Manager for a data-driven or insights-focused product , with a track record of improving and expanding established products. Hands-on experience with the full product development lifecycle, including discovery, design, execution, and iterative improvements for complex product suites. Systems thinker with a strong technical background or understanding, particularly in data-driven products. Hands-on experience with AI/ML products and their application in delivering customer value. Deep understanding of enterprise automation, customer insights, and user experience best practices. Strategic planning skills and the ability to create and manage a product roadmap. Strong stakeholder management skills, with experience working with a wide range of stakeholders, including C-level executives, Engineers, and Designers. Experience thriving in a fast-paced environment, with the ability to navigate and clarify complex and ambiguous situations. Fluent in English, with excellent communication skills. Hiring Steps Recruiter Screen (30-45 mins) Product Interview - with our Co-founder/CTO and our Product Lead (60 mins) Take-Home Assignment + Presentation (60 mins) Behavioural Interview (60 mins) What we offer Generous compensation + stock options - aligned with our internal framework, market data, and individual skills. Distributed work: Work from anywhere - fully remote, in our hubs, or a mix. Laptop, remote setup stipend, and co-working budget Flexible schedules and location ️ Ample paid time off, in addition to local public holidays Enhanced parental leave ️ Health and retirement benefits Annual L&D budget Annual workaways and regular virtual & in-person socials Opportunity to contribute to groundbreaking projects that shape the future of work Note: Some benefits may vary depending on location
Mimica
What we are building Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource - time and work more efficiently, with greater purpose and impact. Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica's process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work. Your mission As the first Engineering Manager of our Machine Learning Team, you will own the strategic direction of the team's projects, ensuring alignment with business and product goals while addressing technical constraints. You'll own the development of our next generation of models, guiding the team through technical challenges and delivery. You'll play a role in building a culture of good engineering and research practices, striving to maintain efficiency and technical excellence as we scale up. Part of your day-to-day To lead, nurture and scale a remote team of 8+ machine learning engineers, supporting their career development through 1:1s, coaching, mentorship, and performance reviews. Leading project management discussions, coordinating and facilitating the Weekly planning and team meetings. Collaborate with the CTO, Platform and Product to align team priorities with company OKRs. Collaborate with the People team on recruiting and onboarding talent that matches our values and technical excellence by being a part of interviewing, debriefs, defining scorecards and onboarding plans. Facilitate and lead discussions that drive the development and deployment of our new generation of ML models, optimizing tools and infrastructure for efficiency, while upholding engineering excellence. Identifying and resolving bottleneck and efficiency blockers, enabling the team to iterate faster. Championing initiatives to improve the quality, security and performance of our systems, processes and code. Promoting a culture of collaboration, transparency, feedback and continuous learning. Requirements Strong background in applied AI/ML research, development, and deployment - particularly in deep learning. Proven track record in managing growing teams , including hiring, mentoring, and developing talent. Experience leading machine learning/data science technical initiatives, particularly in high-growth and large-scale production environments. Deep understanding of good ML engineering practices, including MLOps, data engineering, and scalability. Effective communication skills to engage with senior leaders, product teams, and engineers in complex technical discussions. Strong analytical and troubleshooting skills - methodically decomposing systems to identify bottlenecks, determine root causes and implement effective solutions. Drive to continually develop your skills, improve team processes and reduce debt. Fluency in English, with effective communication skills - articulating complex ideas, concepts, and trade-offs clearly and getting buy-in for strategic technical decisions. Bonus Background in high-impact startup/scale-ups, driving iterative development and rapid delivery. Active interest in automation and task-mining Familiarity with data pipeline architecture Experience with secure software design and data protection mechanisms. What we offer Generous compensation + stock options - aligned with our internal framework, market data, and individual skills. Distributed work: Work from anywhere - fully remote, in our hubs, or a mix. Laptop, remote setup stipend, and co-working budget Flexible schedules and location ️ Ample paid time off, in addition to local public holidays Enhanced parental leave ️ Health and retirement benefits Annual L&D budget Annual workaways and regular virtual & in-person socials Opportunity to contribute to groundbreaking projects that shape the future of work Note: Some benefits may vary depending on location
What we are building Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource - time and work more efficiently, with greater purpose and impact. Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica's process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work. Your mission As the first Engineering Manager of our Machine Learning Team, you will own the strategic direction of the team's projects, ensuring alignment with business and product goals while addressing technical constraints. You'll own the development of our next generation of models, guiding the team through technical challenges and delivery. You'll play a role in building a culture of good engineering and research practices, striving to maintain efficiency and technical excellence as we scale up. Part of your day-to-day To lead, nurture and scale a remote team of 8+ machine learning engineers, supporting their career development through 1:1s, coaching, mentorship, and performance reviews. Leading project management discussions, coordinating and facilitating the Weekly planning and team meetings. Collaborate with the CTO, Platform and Product to align team priorities with company OKRs. Collaborate with the People team on recruiting and onboarding talent that matches our values and technical excellence by being a part of interviewing, debriefs, defining scorecards and onboarding plans. Facilitate and lead discussions that drive the development and deployment of our new generation of ML models, optimizing tools and infrastructure for efficiency, while upholding engineering excellence. Identifying and resolving bottleneck and efficiency blockers, enabling the team to iterate faster. Championing initiatives to improve the quality, security and performance of our systems, processes and code. Promoting a culture of collaboration, transparency, feedback and continuous learning. Requirements Strong background in applied AI/ML research, development, and deployment - particularly in deep learning. Proven track record in managing growing teams , including hiring, mentoring, and developing talent. Experience leading machine learning/data science technical initiatives, particularly in high-growth and large-scale production environments. Deep understanding of good ML engineering practices, including MLOps, data engineering, and scalability. Effective communication skills to engage with senior leaders, product teams, and engineers in complex technical discussions. Strong analytical and troubleshooting skills - methodically decomposing systems to identify bottlenecks, determine root causes and implement effective solutions. Drive to continually develop your skills, improve team processes and reduce debt. Fluency in English, with effective communication skills - articulating complex ideas, concepts, and trade-offs clearly and getting buy-in for strategic technical decisions. Bonus Background in high-impact startup/scale-ups, driving iterative development and rapid delivery. Active interest in automation and task-mining Familiarity with data pipeline architecture Experience with secure software design and data protection mechanisms. What we offer Generous compensation + stock options - aligned with our internal framework, market data, and individual skills. Distributed work: Work from anywhere - fully remote, in our hubs, or a mix. Laptop, remote setup stipend, and co-working budget Flexible schedules and location ️ Ample paid time off, in addition to local public holidays Enhanced parental leave ️ Health and retirement benefits Annual L&D budget Annual workaways and regular virtual & in-person socials Opportunity to contribute to groundbreaking projects that shape the future of work Note: Some benefits may vary depending on location