Staff Product Owner R&D – Enabling Technologies(m/w/x)
Nejo AI Summary
Translating clinical needs into product requirements for medical devices. 2-5 years MedTech experience required. Hybrid work model, 75% onsite.
Translating clinical needs into product requirements for medical devices. 2-5 years MedTech experience required. Hybrid work model, 75% onsite.
Designing AI cloud solution architectures for EPM software, enabling GenAI workloads. 3+ years cloud engineering experience required. Collaboration with SRE and Architecture teams.
Designing road bike frames and parts from concept to production, applying mechanical systems and two-wheel dynamics expertise. Bachelor's in Mechanical Engineering and 3+ years product engineering experience required. Willingness to travel for projects.
Defining local medical and patient centricity strategy for oncology and hematology products. University scientific degree with medical license required. Hybrid work, 4-day work week.
Loading, unloading, and sorting UPS packages in a warehouse environment. Ability to lift up to 70 lbs. required. Evening shift availability, warehouse experience preferred.
Improving developer experience for generative AI tools with millions of users. Full-stack development comfort and experience shipping external developer-facing products required. Remote work option, travel cost coverage, and in-person week.
Designing AI-powered surgical navigation markers and training detection models. Deep learning and Python/PyTorch/OpenCV expertise required. Hands-on medtech start-up experience, simulation OR, and creative zones.
Closing complex B2B deals for generative AI models and video tools. Experience selling technical products to tech executives required. Equity, bonus, and travel cost coverage.
Full sales cycle for generative AI technologies, managing 30-50+ accounts for retention and expansion. 2-4 years closing sales experience required. Bonus, equity, and travel cost coverage.
Leading global SAP functional consultants for Life Sciences and MedTech projects. Proven customer project delivery leadership experience required. State-of-the-art office with modern furniture.
Drafting and negotiating commercial agreements for generative AI models in image and video creation. 7+ years tech commercial transactions experience required. Equity, travel cost coverage.
Quality assurance for automated lab instruments in life science research. ISO 9001:2015 understanding required. Public transport ticket, Hansefit, free fruit.
Leading AI innovation for EPM software, guiding strategic and operational development. Strategic thinking and leadership of cross-functional teams required. Collaboration with engineering leadership on strategic alignment.
Implementing marketing strategy for hematology and oncology products in assigned territory. Scientific expert advice to opinion leaders and medical oncologists required. Work-life balance programs, employee resource groups.
Developing MOCVD production processes for GaN components at a leading application-oriented research organization. Experience in MOCVD, particularly GaN electronics, required. Remuneration based on TVöD, with performance-based variable pay.
Developing multimodal vision-language models for generative AI, integrating VLM/LLM with diffusion pipelines. Advanced VLM deployment or public release required. Travel costs covered, research/production boundary focus.
Leading large-scale pretraining experiments and shaping multimodal foundation models for image/video creation. Deep experience with distributed training and architectural design required. Travel costs covered, with potential for top-venue publications.
Investigating fault-tolerant quantum algorithms for ground-state preparation at Fraunhofer-Gesellschaft. Solid quantum mechanics knowledge required. Flexible working hours, publication prospects.
Investigating navigation complaints and analysing software logfiles for medical devices. Root cause analysis and risk assessment experience required. Cross-departmental collaboration, IT affinity, and technical degree needed.
Managing clinical evaluation projects for new medical devices, aligning evidence strategies with regulatory claims. Master's degree and 4+ years of relevant experience required. Focus on ISO 13485 and MDR compliance.
Creating technical blog posts and paid ad scripts for tabular foundation models. 3+ years developer marketing experience required. Meaningful equity, state-of-the-art ML architecture.
Improving denoising diffusion models for anomaly detection using transformer architectures on industrial datasets. Strong analytical thinking and curiosity required. State-of-the-art equipment, independent project work.
Designing and implementing test software and specifications for regulatory standards like 21 CFR 820. 4+ years of system software testing experience required. Collaboration with design partners and mentoring junior engineers.
Engineering support for product transfers, documenting all activities per Stryker procedures. Bachelor's degree in engineering required. 4-day work week.
Managing patient-specific medical device projects, integrating hardware, software, and process improvements. PMP certification preferred, with a strong understanding of quality systems. Collaboration across R&D, AO, and QA functions.
Multi-cluster GPU infrastructure management for tabular foundation models. Deep Slurm and cluster optimization experience required. Commitment to diversity and inclusion.
Directing clinical trial planning and execution for medical technology. Software development experience with Python, Java, and cloud platforms required. Hybrid work, 4-week workation option.
PV yield simulation and performance analysis for solar projects. PVsyst expertise and 3+ years renewable energy system design required. Mobile working, flexible hours.
M&A due diligence, integration planning, organizational design, talent assessments, and cultural alignment. 8+ years HR experience with organizational design, project, and change management required. Flexible working hours, choice of remote, hybrid, or onsite work.
Developing AI models for solar cell production analytics using real-world data. Representation learning and statistical analysis experience required. Exclusive research insights, flexible hours.