(Junior) Customer Success Engineer

As a Customer Success Engineer, you will be the technical partner helping our customers deploy and adopt Timeseer.AI successfully. You’ll work hands-on with customer data teams to solve real-world challenges — while shaping how our customer success function scales. 

In this role, you will: 

• Lead onboarding and adoption: Drive customer onboarding and ensure rapid time-to-value by helping customers implement Timeseer.AI in their environments. Work with data scientists, process technologists, and data engineers to identify valuable use cases, configure and integrate our platform, and train and support users. 
• Support customer success and growth: Act as the primary contact for customers, ensuring smooth usage, resolving issues, and driving adoption. 
• Demonstrate business value: Participate in proofs-of-value and pilot projects by connecting customer data, running analyses, and showcasing measurable outcomes. 
• Partner with sales and product: Collaborate with Customer Success Managers and Sales to support demos and identify expansion opportunities. Provide feedback to R&D and Product teams to shape new features and improve customer experience. 
• Build scalable processes: Develop documentation, templates, and best practices that help scale the Customer Success organization as Timeseer.AI grows. 

Within your first year, success means: 

• Multiple successful customer deployments. 
• High customer satisfaction and strong retention. 
• New playbooks or frameworks that improve how we deliver value. 

Who You Are 

• A technically curious problem solver who enjoys working directly with customers. 
• You can translate complex data or system concepts into clear customer value. 
• You thrive in a dynamic, collaborative environment where initiative and creativity are encouraged. 

What You’ll Bring 

• Bachelors degree in Engineering, Computer Science, or a related field. 
• Strong affinity with data and analytics — ideally involving industrial or IoT sensor data. 
• Basic familiarity with data tools or platforms (e.g., Python, AWS, Azure). 
• Excellent communication and collaboration skills with both technical and business stakeholders. 
• A customer-first, value-driven, and hands-on mindset. 
• Fluent English (spoken and written); additional languages are a plus. 

What We Offer 

• High-impact projects with global industrial customers. 
• A dynamic scale-up environment where your ideas truly matter. 
• A collaborative, expert team that supports your learning and growth. 
• Competitive compensation and benefits package. 
• Flexibility to work remotely most of the time, with regular team meetups. 
• Clear career growth opportunities as our customer success organization expands. 

About Timeseer.AI 

With the explosion of IoT and industrial sensors, organizations are collecting massive volumes of time series data. But when this data is incomplete, inaccurate, or inconsistent, it undermines every analytics, AI, and digital transformation initiative. 

Timeseer.AI is on a mission to fix that. Our AI-powered OT/IoT data validation platform helps data teams detect, analyze, and resolve data quality issues — ensuring reliable data for critical operations and business decisions. 

We work with global leaders in energy, manufacturing, utilities, pharmaceuticals, chemicals, and automotive, as well as strategic partners like AWS and Microsoft. With over 200 man-years of experience in sensor data, our team deeply understands what it takes to turn raw industrial data into trustworthy insights. 

At Timeseer.AI, we believe that great teams build great products. We foster a culture where curiosity, ownership, and collaboration drive everything we do. We value open communication, a bias for action, and a willingness to experiment and learn. We work as one team — supporting each other, celebrating wins together, and helping one another grow. You’ll join a group of motivated experts who care deeply about solving real customer problems and building an environment where everyone can do their best work.