Product Manager

About Jaipur Robotics

Jaipur Robotics is a Swiss-based venture capital-backed clean-tech startup innovating the waste management industry with AI-driven solutions. We convert complex datasets into automated processes that enhance operational efficiency and drive environmental benefits. Collaborating with leading European waste operators, we are expanding our product and customer-facing teams to accelerate growth.

Role Overview

We seek a dedicated Product Manager based in the EU who possesses a blend of product ownership, data analysis, and customer engagement skills. This role extends beyond conventional desk work, requiring meaningful interaction with clients, including site visits to industrial plants to observe product usage firsthand and identify avenues for increased value creation.

You will act as a crucial liaison connecting customers with our engineering, AI, operations, and commercial teams. Your responsibilities will include discerning scalable needs from isolated customer requests and translating key opportunities into prioritized, detailed product specifications. This role combines facets of product management, analytics, and customer success, ensuring the product not only meets developmental goals but also achieves high adoption and value realization.

Key Responsibilities

• Develop and maintain strong, ongoing relationships with current customers to gain deep insights into their product usage.
• Frequently visit customer sites to observe operations, gather feedback, and pinpoint areas for product enhancement.
• Critically assess customer requests to differentiate between essential needs and one-off customizations or low-impact features.
• Aggregate feedback to identify common pain points and scalable product improvements.
• Create well-defined product requirements, user stories, workflows, and acceptance criteria based on customer input.
• Collaborate with engineering, AI, operations, commercial teams, and leadership to set and update product priorities and roadmaps.
• Evaluate opportunities by considering customer benefit, strategic fit, development complexity, scalability, and commercial outcomes.
• Utilize quantitative and qualitative data to validate customer feedback and make informed prioritization decisions.
• Analyze user behavior and product performance using analytics tools such as PostHog, Metabase, databases, spreadsheets, and internal dashboards.
• Write and run SQL queries to explore data, identify trends, investigate issues, and measure new feature impacts.
• Apply statistical reasoning to differentiate significant trends from anomalies, supporting evidence-based decisions.
• Define clear success metrics including adoption rates, retention, satisfaction, operational impact, and business value.
• Monitor feature performance post-release and coordinate iterative improvements based on data and feedback.
• Support product launches, customer onboarding, training, and roll-out of new product functionalities.
• Ensure customers understand and effectively use the product to gain measurable value.
• Work closely with Customer Success and Commercial teams to detect adoption risks, explore expansion opportunities, and manage recurring customer needs.
• Collaborate with engineering and technical teams during troubleshooting, testing, and feature validation.
• Communicate product decisions transparently to customers, including explaining non-prioritization of certain requests or proposing alternatives.
• Maintain organized documentation covering customer feedback, product requirements, decisions, configurations, and follow-up actions.
• Contribute to the creation of scalable product and customer-success processes as the company grows across multiple markets.

Candidate Requirements

• Degree in engineering, computer science, automation, data science, electronics, industrial engineering, or a related technical discipline.
• Minimum two years of experience in product management, product engineering, solutions engineering, technical customer success, business analysis, or a similar customer-facing technical role.
• Robust analytical skills with the ability to interpret and challenge data effectively.
• Proficiency in SQL and working with relational databases.
• Solid understanding of statistics, data analysis, and experimental methodologies.
• Experience with product analytics or business intelligence tools such as PostHog, Metabase, Amplitude, Mixpanel, Power BI, Tableau, or equivalents.
• Capability to translate complex technical and operational challenges into structured product requirements.
• Strong discernment when assessing customer feedback and prioritizing core product development needs.
• Comfortable engaging with software engineers, AI specialists, field teams, IT departments, and plant operators on technical matters.
• Excellent interpersonal and customer relationship management skills.
• Clear and effective communication abilities to explain priorities, trade-offs, and technical topics.
• High degree of ownership, independence, and organizational aptitude.
• Adaptable to an early-stage startup environment where processes are evolving.
• Willingness to travel extensively across Europe and occasionally internationally.
• Comfortable working in industrial settings.
• Fluency in English is required.

Preferred Qualifications

• Experience related to AI, computer vision, industrial automation, IoT, edge computing, or data-heavy products.
• Previous exposure to roles combining product management and customer success functions.
• Background working with industrial clients such as utilities, waste operators, manufacturing, or infrastructure sectors.
• Skills in customer discovery techniques including interviews, site visits, usability testing, or workflow analysis.
• Familiarity with Python, APIs, data pipelines, cloud platforms, or analytics engineering.
• Experience in defining product metrics, creating dashboards, and analyzing feature adoption.
• Understanding of B2B SaaS products deployed across diverse customer environments.
• Experience working in startup or scale-up environments.
• Additional language skills in German, French, Italian, or Spanish are advantageous.
• Residence in Switzerland, Italy, or other accessible European countries is preferred.