Product Manager (SaaS / DaaS)

🏢 Summary: Hybrid B2B opportunity to modernize a mission-critical aviation platform used globally. The role involves developing and maintaining C++ and C# software, improving platform components, reliability, and performance. 🗂️ Requirements: Professional experience with C++, Professional experience with C#, English proficiency at B2 level or higher 📃 Skills: C++, C# 🏢 Description: Join a team responsible for modernizing a mission-critical aviation platform used by tens of thousands of customers worldwide. This is a great opportunity to work on a solution that plays a key role in the aviation industry and contribute to its further technological development. Key responsibilities Develop and maintain software using C++ and C# Contribute to the modernization of the existing aviation platform Design, implement, and improve software components Collaborate with other members of the development team to deliver high-quality solutions Analyze technical requirements and translate them into effective software solutions Troubleshoot issues and contribute to improving the reliability and performance of the platform Ideal candidate profile Professional experience with C++ Professional experience with C# English proficiency at B2 level or higher Conditions Work model: Hybrid – 1 day per week at the office in Gdańsk Contract type: B2B. Rate: Negotiable Benefits: life insurance, private healthcare, Multisport card Recruitment steps Phone call with a Recruiter Online technical and recruitment interview with Client Decision and feedback W KUBO naprawdę zależy nam na ludziach. Zapraszamy osoby w różnym wieku, o różnych tożsamościach i sposobach funkcjonowania oraz niezależnie od sytuacji zdrowotnej i rodzinnej. Autentyczność jest dla nas wartością, a naszym celem jest uczciwy i otwarty proces dla wszystkich. At KUBO, we genuinely care about people. We welcome candidates of all ages, backgrounds, identities, family constellations, health situations, and ways of thinking and interacting with the world. You’re welcome to be yourself — we value authenticity, and we’re committed to creating a fair and inclusive process for everyone.

🏢 Summary: Lead an international multidisciplinary engineering team delivering and modernizing recruitment technology, including business-critical document-parsing systems and AI-driven solutions. The hybrid role combines people management, delivery ownership, and technical leadership across global product and engineering stakeholders. 🗂️ Requirements: 2+ years leading software engineers as an Engineering Manager, Software Development Manager, Technical Lead, or similar, Experience leading agile product engineering teams, Experience managing delivery, capacity, risks, and technical priorities, Experience mentoring engineers, managing performance, and supporting career growth, Previous hands-on software engineering experience, Strong knowledge of software architecture, APIs, CI/CD, cloud environments, and modern development practices, Understanding of machine learning and LLM-based product applications, Ability to assess architecture, technical debt, quality, scalability, and engineering trade-offs, Experience working in distributed international organizations, Practical experience using AI tools in engineering or management workflows, Fluent English 📃 Skills: Python, Perl, APIs, CI/CD, AWS, MachineLearning, DeepLearning, LLMs, GitHubCopilot, Claude, Gemini, ChatGPT 🏢 Description: We are hiring on behalf of our client, a global leader in HR technology, delivering an end-to-end SaaS platform that supports the entire recruitment lifecycle. Trusted by thousands of organizations worldwide, their solutions combine cloud technology, automation, and cutting-edge AI to help businesses hire smarter, work more efficiently, and deliver better talent experiences. We are looking for a Lead/Manager to lead an international team of Software Engineers, AI Engineers, and Data Analysts. This is primarily a people leadership and delivery role with a strong technical component . You will coach the team, drive predictable execution, partner with Product and Engineering leaders across Europe and North America, and help modernize a technology stack that combines legacy systems with AI-driven solutions. Key takeaways: Stack: Python, Machine Learning, Deep Learning, LLMs, APIs, CI/CD, AWS, leadership experience Salary: 23 000 PLN - 28 500 PLN gross on the Contract of Employment Working model: hybrid - 3x weekly from the office Location: Krakow Recruitment process: A call with Motife recruiter (30 min) Criteria Cognitive Aptitude Test (30 min) Hiring Manager Interview (30 min) Technical Interview (90 min) Responsibilities: Team Leadership Lead and support a multidisciplinary engineering team of up to 11 Software Engineers, AI Engineers, and Data Analysts. Coach team members through regular 1:1s, structured feedback, performance reviews, and individual development plans. Build a high-trust environment based on transparency, ownership, constructive feedback, and continuous development. Delivery & Engineering Excellence Own sprint execution, workload planning, delivery predictability, and proactive risk management. Partner with engineers and architects to maintain software quality, address technical debt, and improve engineering processes. Ensure the team balances new development with the stability and maintainability of business-critical parsing systems. Product & Global Collaboration Partner with Product Managers and Product Owners to refine priorities, assess technical complexity, and translate business needs into achievable engineering plans. Coordinate with engineering leaders and stakeholders across Europe and North America. Ensure engineering initiatives contribute directly to customer value and wider business objectives. AI & Technology Modernization Guide the evolution of document-processing technologies combining Perl, Python, machine learning, deep learning, and LLM-based approaches. Drive practical adoption of AI tools across engineering, testing, development, and team workflows. Identify opportunities to modernize legacy solutions without compromising reliability or operational performance. Requirements: Leadership Experience 2+ years of experience as an Engineering Manager, Software Development Manager, Technical Lead, or similar role with direct responsibility for software engineers. Proven experience leading agile product engineering teams and managing delivery, capacity, risks, and technical priorities. Strong track record of mentoring engineers, managing performance, and supporting career progression. Technical Expertise Previous hands-on software engineering experience and the technical depth required to effectively manage experienced engineers. Strong understanding of software architecture, APIs, CI/CD, cloud environments, and modern software development practices. Good understanding of machine learning and LLM-based technologies and how they can be applied within software products. Ability to discuss architecture, technical debt, software quality, scalability, and engineering trade-offs with senior technical stakeholders. Collaboration & Mindset Experience working in distributed, international organizations, ideally across European and North American time zones. Strong ownership mindset with the ability to communicate risks clearly and make pragmatic decisions. Practical experience using AI tools such as GitHub Copilot, Claude, Gemini, or ChatGPT within engineering or management workflows. Fluent English and strong written and verbal communication skills. What we offer: Medical care Life insurance Multisport Apply now If you combine strong people leadership with solid engineering judgment and an interest in practical AI adoption, we’d like to hear from you! Apply via our careers page and please submit your CV in English.

🏢 Summary: Lead product strategy for a Geo Auto Data Platform supporting ADAS and autonomous-driving map data services. The role drives map-data quality, governance, regional expansion, and OEM alignment to ensure software and data meet demanding safety, accuracy, and freshness standards. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8+ years in product management or related technical roles, 3+ years taking technical products from conception to launch, ADAS or autonomous-driving feature experience, Generative AI or LLM workflow integration experience 📃 Skills: ADAS, Autonomy, LLMs, GenerativeAI, Mapdata, SLAs, ADASIS, NDS, GIS, Geomatics, Databases, Sensorfusion 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 8 years of experience in product management or a related technical role. • 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1). • Experience with advanced driver-assistance systems or autonomous driving features. • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications • Master’s or PhD degree in a technical field (e.g., GIS, Geomatics, Computer Science, Spatial Engineering). • Deep domain expertise in ADAS/AD features and how these are supported by map data systems and standards (e.g., electronic horizon, ADASIS, NDS, HD maps, sensor fusion). • Experience launching ADAS features into series production, ideally with global OEM customers. • Technical background in map compilation, geospatial databases, and data quality validation methodologies for the automotive/ADAS domain. • Proven ability to influence without authority in a highly matrixed, multi-site environment. About the job Work cross-functionally to guide products from conception to launch, connecting technical and business needs and breaking complex problems into actionable product-development steps. The Geo Auto Data Platform team builds the data foundation and platforms for in-vehicle automotive offerings. The platform supports deeply integrated turn-by-turn navigation, next-generation visualizations powered by lane-level positioning, and map-data services for advanced driver-assistance systems (ADAS) and autonomous driving (AD), including L2++ and beyond capabilities. Bring deep expertise in AD/ADAS features and the map data that supports them. Ensure software, tooling, map data, and supporting services meet rigorous safety, freshness, and accuracy standards for AD/ADAS features. Responsibilities • Manage and evolve relationships with upstream internal map-data partners. • Drive, review, and approve ADAS-specific map-attribute schemas; document, establish, and enforce cross-functional governance to prevent fragmentation across divergent non-ADAS use cases. • Define, monitor, and defend data-quality service-level agreements (SLAs) for accuracy and freshness; partner with engineering to prioritize automated validation loops. • Translate downstream ADAS/AD feature mechanics into baseline software and data-quality requirements; educate and advocate for use cases with upstream data teams. • Manage the ADAS country-tiering model. • Prioritize, negotiate, and drive expansion of key ADAS attributes into new regions and deeper road categories across internal teams. • Maintain open communication channels with OEM partners to keep core roadmaps user- and partner-focused.