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osapiens

osapiens develops software that empowers companies to drive sustainable growth across their entire value chain. The osapiens HUB is a multi-tenant hyperscaler platform that facilitates cross-company collaboration and AI-automation, offering over 25 solutions. These include transparency solutions for reporting financial and non-financial data, managing supply chains, and ensuring compliance with regulations, as well as efficiency solutions that enhance supplier collaboration and operational performance. Founded in 2018 and headquartered in Mannheim, Germany, osapiens serves over 2,500 customers worldwide.

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
As a <b>Senior Product Manager - MedTech (m/f/x)</b>, you will own the development and execution of (new) MedTech products, ensuring they align with evolving international regulations. You will collaborate closely with internal stakeholders, UI/UX teams, and development teams to shape best-in-class solutions.<br>
</div><div>Prior in-depth knowledge of MedTech regulations and compliance is required and ideally paired with a strong interest in sustainability, product innovation and product quality. You will navigate a fast-changing regulatory landscape and help businesses stay ahead.</div><div>
<br>
This role is based in <b>Mannheim</b>, a vibrant tech hub at the heart of Germany, where you'll collaborate with a talented, forward-thinking team. We embrace a <b>hybrid work model</b>, with three days a week in the office, ensuring the perfect balance between in-person collaboration and remote flexibility.</div><h3 class="jobSectionHeader"><b><br>
Your Responsibilities</b></h3><br>
<ul>
<li>
Collaborating closely with cross-functional teams including UI/UX, development, and product delivery to bring products to life.</li>
<li>Ensuring regulatory compliance by staying informed on legal requirements and integrating them into product roadmaps - focusing on MedTech topics.</li>
<li>Acting as the in-house product expert by keeping up-to-date with MedTech legislation and proactively adapting product strategies to new developments.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Your Experience</b></h3><br>
<ul>
<li>
Bringing expertise in <b>B2B SaaS product management</b>, covering both product discovery and delivery - ideally with a focus on MedTech.</li>
<li>Experience working very closely with software engineers to build and improve products.</li>
<li>Driving data-informed decision-making by using market insights, customer feedback, and regulatory trends to guide product direction.</li>
<li>Balancing business, design, and technology by aligning diverse stakeholder needs to build intuitive, impactful products.</li>
<li>Communicating <b>fluently in English (C1 level)</b> to engage effectively with global teams and stakeholders - <b>German skills are considered a plus</b>.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Join us for this and more...</b></h3><br>
<ul>
<li>
A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a fast-growing unicorn company</li>
<li>Room for creativity through collaborative teamwork and an open communication culture</li>
<li>Flexibility and team bonding with our hybrid work options</li>
<li>Sustainable mobility options, promoting eco-friendly commuting solutions</li>
<li>Fun team events and outings with our global teams</li>
<li>An inspiring working environment in Mannheim (and globally!)</li></ul><br>
<h3 class="jobSectionHeader"><b>
About osapiens</b></h3><div>
<b>osapiens</b> develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the <b>osapiens HUB</b>, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance.<br>
</div><div>Founded in 2018 and headquartered in Mannheim, Germany, <b>osapiens</b> works with <b>around 2,500 companies in over 50 countries</b> across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by <b>Goldman Sachs</b> and <b>Decarbonization Partners</b>, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.</div></div>

Senior Product Manager - MedTech (m/f/x)

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
This 4-6 months internship position is part of osapiens Terra, a specialized team in Munich integrating remote sensing data and artificial intelligence algorithms in sustainability software solutions. We build enterprise software for deforestation free supply chains. Our SaaS solution ensures compliance with the EU Deforestation Regulation (EUDR) which affects thousands of European companies and their suppliers. For this, we track the supply chain end-to-end, from farmer to retailer, while leveraging satellite data and AI to detect deforestation.<br>
<br>
Our algorithm combines several methods, from deep learning, to custom ML algorithms, and basic statistics. We carefully engineer our methodology to ensure generalization across geographies, robustness, and explainability.</div><h3 class="jobSectionHeader"><b><br>
Your Responsibilities</b></h3><div><br>
We are looking for a Machine Learning Engineer to improve our algorithms, scale our architecture and optimize a production ML pipeline. You will...<br>
</div><ul><li>Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics</li>
<li>Research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing</li>
<li>Engineer and operationalize prototype-stage methods to full-blown enterprise-grade production systems</li>
<li>optimize and scale data and analytics pipelines</li>
<li>Analyze, interpret, and monitor performance from production data analytics pipelines</li></ul><br>
<h3 class="jobSectionHeader"><b>
Your Experience</b></h3><br>
<ul>
<li>
Current studies in engineering, mathematics, computer science or similar.</li>
<li>Programming skills in Python and proficiency with typical data engineering and deep learning frameworks, as well as familiarity with GIT and unix-based systems.</li>
<li>Track record of solving quantitative problems with algorithms and data</li>
<li>Experience in working with geospatial data (e.g., multi-spectral satellite imagery, geojsons, tif formats, etc.) is a plus</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Join us for this and more...</b></h3><br>
<ul>
<li>
A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a <b>fast-growing unicorn company</b>
</li><li>A <b>high-impact internship</b> with responsibility from day one and direct collaboration with experienced leaders.</li>
<li><b>Hands-on project ownership</b> and the chance to design processes that scale across our global customer base.</li>
<li>A modern <b>Munich office </b>with flexible hybrid work options, open team culture, and flat hierarchies.</li>
<li>Regular team events and knowledge-sharing sessions.</li>
<li>And of course &ndash; free drinks and snacks to keep you energized during your day.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
About osapiens</b></h3><div>
<b>osapiens</b> develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the <b>osapiens HUB</b>, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance.<br>
</div><div>Founded in 2018 and headquartered in Mannheim, Germany, <b>osapiens</b> works with <b>around 2,500 companies in over 50 countries</b> across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by <b>Goldman Sachs</b> and <b>Decarbonization Partners</b>, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.</div></div>

Internship: Machine Learning (m/f/x)

<div>
 <strong>
  Department:
 </strong>
 osapiens Terra
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 M&uuml;nchen
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 As a Machine Learning Engineer (m/f/x), you will work on the machine learning systems powering our geospatial analytics platform. You will contribute to the development, deployment, and improvement of production ML models that analyze satellite imagery and detect environmental risks at scale. You will collaborate closely with product managers, software engineers, and geospatial experts to build scalable ML solutions that support real-world sustainability and compliance use cases. Your work may include improving existing deforestation detection models, developing new deep learning approaches for remote sensing data, and building reliable tooling and infrastructure for model training and deployment.
 <br/>
 <br/>
 <strong>
  Your Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop, train, and improve machine learning models for geospatial and satellite imagery analysis
  </li>
  <li>
   Contribute to the full ML lifecycle, including experimentation, evaluation, deployment, monitoring, and maintenance
  </li>
  <li>
   Work on production systems that process large-scale satellite and geospatial datasets
  </li>
  <li>
   Collaborate with ML engineers, backend engineers, product teams, and geospatial analysts to deliver reliable analytics products
  </li>
  <li>
   Improve model performance, scalability, and robustness across different geographies and datasets
  </li>
  <li>
   Build and optimize data pipelines, tooling, and workflows for efficient ML development
  </li>
  <li>
   Apply modern deep learning and statistical techniques to remote sensing and environmental data
  </li>
  <li>
   Support rapid experimentation while maintaining production reliability
  </li>
  <li>
   Contribute to technical discussions, code reviews, and engineering best practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You May Be a Good Fit If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have a strong quantitative background in computer science, engineering, mathematics, remote sensing, or a related field
  </li>
  <li>
   Have strong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow
  </li>
  <li>
   Hands-on experience with MLOps tools such as Weights &amp; Biases, cloud infrastructure including Amazon Web Services, and/or high-performance computing environments
  </li>
  <li>
   Feeling comfortable developing, training, and optimizing machine learning models in production environments
  </li>
  <li>
   Communicate clearly and collaborate effectively across technical and non-technical teams
  </li>
  <li>
   Have experience working with large datasets and distributed data processing workflows
  </li>
  <li>
   Work effectively with AI-assisted development and coding tools
  </li>
  <li>
   Are fluent in English (C1+). German skills are a plus
   <br/>
   <br/>
  </li>
 </ul>
 Nice to have
 <br/>
 <br/>
 <ul>
  <li>
   Experience with computer vision tasks such as segmentation, classification, change detection, or time-series analysis
  </li>
  <li>
   Experience working with remote sensing or satellite data (SAR, optical, LIDAR)
  </li>
  <li>
   Familiarity with geospatial data processing libraries and tools
  </li>
  <li>
   Experience deploying ML systems into production environments
  </li>
  <li>
   Understanding of environmental, climate, or sustainability-related use cases
  </li>
  <li>
   Experience translating complex business or regulatory requirements into data-driven solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join us for this and more...
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The opportunity to work on meaningful technology with real-world environmental impact
  </li>
  <li>
   A highly technical and collaborative team environment
  </li>
  <li>
   Modern ML infrastructure and large-scale geospatial datasets
  </li>
  <li>
   Ownership and growth opportunities based on your experience and interests
  </li>
  <li>
   Flexible working environment in our Munich office near Sendlinger Tor
  </li>
  <li>
   Competitive compensation and benefits
  </li>
 </ul>
</div>


Machine Learning Engineer (m/f/x) - Geospatial AI

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
As<b> Senior Solution Engineer </b>with a <b>country focus</b>, you are <b>osapiens&rsquo; technical face</b> in entreprise deals in your geography. You sit shoulder-to-shoulder with our local Account Executives in front of Heads of Sustainability, Procurement leaders, Supply Chain Leaders and IT - translating intricate compliance and efficiency requirements into a clear vision of how the osapiens HUB will deliver value in the customer&rsquo;s landscape, in their language and within their local regulatory reality.<br>
</div><div>You are deliberately in-country: close to customers, on-site whenever it adds value, and fluent in how business gets done in your market. You own the full breadth of the osapiens HUB for your geography and carry local market intelligence back into Product and the wider SE organization.</div><h3 class="jobSectionHeader"><b><br>
Your Responsibilities</b></h3><div><b><br>
What You will Do</b></div><br>
<div></div><ul>
<li>
Be the Solution Engineering owner of your country&rsquo;s enterprise opportunities at osapiens. Accountable from tailoring deep dives until the prospect is convinced and has decided in favor of osapiens. You translate companies challenges with regards to supply chain resilience, reporting, carbon management, product compliance, asset operations, and track and trace into concrete solution scope, including local regulatory layers.</li>
<li>Deliver tailored demonstrations of the osapiens HUB adapted to the buying culture, language and procurement norms of your country. Connect to Solution-Suite SEs for deep specialist support.</li>
<li>Own end-to-end proofs-of-concept in your region, anchored in your local market&rsquo;s value drivers.</li>
<li>Confidently navigate customer integrations with SAP and non-SAP systems that matter in your vertical.</li>
<li>Be the trusted owner of functional RFPs, RFIs, and IT-Integration topics, including responses in the local language.</li>
<li>Own the competitive picture in your country, and curate the local reference base that closes deals in your market.</li>
<li>Represent osapiens at local industry events, customer roundtables and partner forums in your country.</li>
<li>Default to being on-site: customers, partners, local events. Expect ~40&ndash;50% travel within your geography.</li>
<li>Actively use relationships with local SI partners, advisory firms and industry associations relevant to osapiens&rsquo; topics, and track local regulatory developments - briefing AEs and Product on what it means for pipeline and roadmap.</li>
<li>Partner closely with Account Executives on deal strategy, multi-threading and stakeholder mapping; coach AEs on value proposition talk-tracks that land in your market.</li>
<li>Feed structured prospect insights back to Product Management - what we win with locally, where competitors out-position us, what we need on the roadmap to be competitive in your country.</li>
<li>Mentor more junior SEs, contribute to enablement content, localized battle-cards and demo assets, and help us scale the SE function as we grow.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Your Experience</b></h3><div><br>
We&rsquo;re intentionally looking for people who have <b>seen and thrived in fast-moving environments</b>:</div><br>
<div></div><ul>
<li>
4+ years experience in solution engineering, presales, consulting (tech focused) or sales engineering for B2B enterprise SaaS, with a clear majority of that time in your target country.</li>
<li>Native or fully professional command of the primary business language(s) of your country, plus fluent English.</li>
<li>Demonstrated ownership of complex enterprise deals end-to-end, including POCs and security reviews; comfortable with deal sizes north of &euro;250K deal size.</li>
<li>Working understanding of the regulatory landscape in your country across Carbon Management, Product Compliance (incl. PPWR), Supply Chain Compliance (incl. EUDR), Reporting and Disclosures - and how local buyers think about it.</li>
<li>Strong technical fluency: REST APIs, SAP, identity management (SSO), cloud architecture (AWS or Azure), enterprise integration patterns, basic data modeling.</li>
<li>Sharp business acumen: comfortable mapping a regulatory or operational pain to ROI, TCO and a deployment roadmap a CFO will sign off on - in the financial idiom of your market.</li>
<li>An existing professional network among customers, partners and advisors in your country.</li>
<li>AI is part of how you already operate: you routinely use Ai to compress research, demo prep and RFP work, and you have a clear point of view on how to build the best AI-driven version of your role.</li>
<li>Proactive, structured, calm under pressure - equally comfortable in front of a board and in a Postman session.</li>
<li>Based in your target country, with willingness to travel ~40&ndash;50% within the region and occasionally to Mannheim or Munich HQ.</li>
</ul><div>
<br>
<b>Bonus Points</b>
</div><ul><li>Domain expertise in Supplier Intelligence, Carbon Accounting, Reporting, Traceability and Product compliance.</li>
<li>Hands-on experience with SAP S/4HANA, SAP Ariba, Coupa or ServiceNow.</li>
<li>Existing relationships with local SI partners, Big Four advisory practices or industry associations in ESG and compliance.</li>
<li>Exposure to AI / LLM workflows in enterprise SaaS.</li>
<li>A third European language beyond your country&rsquo;s primary language and English.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Join us for this and more...</b></h3><br>
<ul>
<li>
Be part of a <b>fast-growing scale-up</b> tackling complex sustainability challenges</li>
<li>Shape how presales is done &mdash; not just execute it</li>
<li>High ownership, high impact, and real room to improve how things work</li>
<li>Collaborative, international team with strong growth ambition</li>
<li>Room for creativity through collaborative teamwork and an open communication culture</li>
<li>Flexibility and team bonding with our hybrid work options</li>
<li>Sustainable mobility options, promoting eco-friendly commuting solutions</li>
<li>Fun team events and outings with our global teams</li>
<li>An inspiring working environment.</li></ul><br>
<h3 class="jobSectionHeader"><b>
About osapiens</b></h3><div>
<b>osapiens</b> develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the <b>osapiens HUB</b>, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance.<br>
</div><div>Founded in 2018 and headquartered in Mannheim, Germany, <b>osapiens</b> works with <b>around 2,500 companies in over 50 countries</b> across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by <b>Goldman Sachs</b> and <b>Decarbonization Partners</b>, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.</div></div>

Senior Solution Engineer - Benelux (m/f/x)

Join osapiens and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

osapiens

About Company

Senior Product Manager - MedTech (m/f/x)

Internship: Machine Learning (m/f/x)

Machine Learning Engineer (m/f/x) - Geospatial AI

Senior Solution Engineer - Benelux (m/f/x)