engineering research manager

Dandy

<div><p>Dandy is transforming the massive and antiquated dental industry&mdash;an industry worth over $200B. Backed by some of the world&rsquo;s leading venture capital firms, we&rsquo;re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world&mdash;empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.</p><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
Dandy is making a significant investment in novel manufacturing, automation, and CAD/CAM techniques that will define the future of our industry. We are establishing a new Automation and CAD Software Research team dedicated to solving problems that have never been solved before. This team will provide exploratory and innovative solutions to our most complex challenges and partner with our physical R&amp;D team, software application teams and manufacturing teams to rapidly scale them into production.</p><p>
We are seeking an R&amp;D Software Engineering Manager to build, lead, and inspire this new team. You will be at the heart of Dandy's innovation engine, setting the technical direction and fostering a culture of discovery, scientific rigor, and rapid learning. This is an important leadership role responsible for turning ambitious ideas into tangible solutions that create immense business value.</p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><ul><li><p>
Lead a high-performing team of R&amp;D engineers, accountable for their performance, growth, and career development.</p></li><li><p>
Define the direction of your team by building its technical roadmap, aligning projects with strategic business goals.</p></li><li><p>
Drive the execution of complex R&amp;D workstreams, from initial research and experimentation to production-ready solutions.</p></li><li><p>
Act as the bridge between innovation and execution, partnering closely with application and manufacturing teams to rapidly scale new technologies.</p></li><li><p>
Champion technical excellence, ensuring your team&rsquo;s work is of the highest quality and operational standard.</p></li><li><p>
Foster a culture of innovation and continuous learning, creating a space for your team to experiment with an expectation of learning from both successes and failures.</p></li><li><p>
Cultivate a healthy and collaborative team environment that embodies Dandy&rsquo;s values.</p></li></ul><h3 class="jobSectionHeader"><b>
What we&rsquo;re looking for</b></h3><ul><li><p>
3+ years of engineering management experience, with a proven track record of leading and developing technical teams.</p></li><li><p>
Graduate-level degree (Master's or PhD) in Mechanical Engineering, Robotics, Computer Science, or a related field, or equivalent experience in an academic or industrial research setting.</p></li><li><p>
Strong background in advanced manufacturing concepts, including additive (e.g., 3D printing) and subtractive (e.g., CNC milling) modalities.</p></li><li><p>
Experience with CAD/CAM workflows, toolpath planning, and Design for Manufacturability (DFM) principles.</p></li><li><p>
Exposure to computer vision fundamentals and their practical applications.</p></li><li><p>
Demonstrated ability in innovation risk management and making impact-based prioritization decisions.</p></li><li><p>
Excellent communication skills, with the ability to articulate project timelines and complex technical challenges to various stakeholders.</p></li><li><p>
A passion for continuous learning and staying current with state-of-the-art developments in cad software, manufacturing and automation.</p></li><li><p>
Comfortable with ambiguity and skilled at navigating the path from unstructured problems to concrete solutions.</p></li></ul><h3 class="jobSectionHeader"><b>
Work Environment and Location</b></h3><p>
This is a remote role with travel expectations to our US and Asia manufacturing sites, open to candidates located anywhere in the United States. To best facilitate collaboration with our teams in Europe, there is a preference for candidates who can work primarily within the Eastern Time (ET) zone.</p><p></p><p><b>
Req ID: </b>J-813</p><p>
For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off&mdash;ensuring our team members are supported no matter where they live and work.</p><p>
Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.</p><p>
Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!
</p><p>Compensation Range: $201.5K - $237K</p></div>

Engineering Manager - CAD/3D Research and Novel Algorithms

Thomson Reuters

<div><p>We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is responsible for designing the next generation of software for Tax Professionals and Corporates in the US, and across the global markets. We own AI innovation for Thomson Reuters&rsquo; core tax products, including UltraTax, Cloud Audit Suit, SurePrep and ONESOURCE. We work with the latest LLM prompting and agentic AI approaches to build cutting edge products.</p><p></p><p>
About the role</p><p>
In this opportunity as <b>Manager, Applied Research</b> you will:</p><ul><li><p><b>
Experiment and Develop</b>: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.</p></li><li><p><b>
Collaborate:</b> Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.</p></li><li><p><b>
Deliver:</b> You will be accountable for timely, well-managed deliverables.</p></li><li><p><b>
Innovate:</b> You will be empowered to try new approaches and learn new technologies. You will implement innovative ideas to solve real-world challenges.</p></li><li><p><b>
Inspire:</b> You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.</p></li><li><p><b>
Manage: </b>Direct the efforts of a team of Applied Scientists and Research Engineers ensuring a high-performance culture, nurturing your team&rsquo;s career development and managing their performance expectations through servant leadership and active coaching.</p></li></ul><p></p><p>
About you</p><p>
You're a fit for the role of Manager, Applied Research if your background includes:</p><p><i>
Basic qualifications</i></p><ul><li><p>
PhD in a relevant discipline or Master&rsquo;s plus a comparable level of experience</p></li><li><p>
8+ years hands-on experience building IR / NLP systems for commercial applications</p></li><li><p>
Prior management experience &ndash; coaching &amp; developing high-performing teams</p></li><li><p>
Experience writing production code and ensuring well-managed software delivery</p></li><li><p>
Experience delivering minimum viable products in a large enterprise environment</p></li><li><p>
Demonstrable experience translating complex problems into successful AI applications</p></li><li><p>
Expertise in several of the following areas: robust Python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance.</p></li><li><p>
Outstanding communication, problem solving, and analysis skills</p></li></ul><p></p><p><i>
Preferred qualifications</i></p><ul><li><p>
Experience innovating state-of-the-art research to solve real-world problems.</p></li><li><p>
Experience designing and implementing solutions with large language models</p></li><li><p>
Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar.</p></li><li><p>
Advanced proficiency in Python, Java, or Scala .</p></li></ul><p></p><p>
#LI-AD1</p><p></p><p><b>
What&rsquo;s in it For You?</b></p><div><div><div><div><ul><li><p><b>
Hybrid Work Model: </b>We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.</p></li><li><p><b>
Flexibility &amp; Work-Life Balance:</b> Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.</p></li><li><p><b>
Career Development and Growth:</b> By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.</p></li><li><p><b>
Industry Competitive Benefits:</b> We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.</p></li><li><p><b>
Culture:</b> Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.</p></li><li><p><b>
Social Impact:</b> Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.</p></li><li><p><b>
Making a Real-World Impact:</b> We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.</p></li></ul></div></div></div></div><p></p><p><b><br>
About Us</b></p><p></p><p>
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.</p><p></p><p>
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.</p><p></p><p>
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.</p><p></p><p>
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.</p><p></p><p>
Learn more on how to protect yourself from fraudulent job postings here.</p><p></p><p>
More information about Thomson Reuters can be found on thomsonreuters.com.</p></div>

Manager, Machine Learning & Applied Research

Magic Leap

<div><p><b>A new paradigm of computing</b></p>
<p>
Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences.</p>
<p>
Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the mixed reality (XR) ecosystem. We know that successful change and progress accelerates diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible.</p>
<p><b>
The opportunity</b></p>
<p>
Leading an engineering team of four within the Perception group, the manager will be responsible for the systems that collect essential real-world sensor data, including ground truth, from our XR devices. This data is vital for the development and validation of a variety of perception features like head tracking, eye tracking, depth estimation, object tracking, etc. You'll bridge leadership and hands-on technical contribution&mdash;defining technical strategy, setting roadmaps with internal stakeholders, architecting data collection tooling, and writing production code while building and mentoring a cross-disciplinary engineering team. You are responsible for two data collection labs with equipment such as OptiTrack, LiDARs, and robot arms in different geographic regions.</p>
<p>
This position requires a seasoned, versatile engineer who can operate autonomously, create opportunity, balance strategic planning with tactical execution, and grow talent while driving technical excellence.</p>
<p><b>
Important:</b> You will lead a distributed team across Europe and the US so you need to be flexible in working across multiple time zones. This is a hybrid role but requires close proximity to our Sunnyvale, CA office. Occasional travel is required.</p>
<p><b>
What you'll do</b></p>
<ul>
<li>Serve as the primary technical point of contact for internal clients, proactively aligning data delivery roadmaps with business needs</li>
<li>Design, develop, and maintain hardware and software solutions for ground truth data collection in collaboration with cross-functional stakeholders</li>
<li>Individually develop and maintain production software in Python and C++ as the lead developer</li>
<li>Maintain strategic oversight of vendor landscape for hardware and software tooling, evaluating and selecting optimal solutions</li>
<li>Orchestrate data collection operations with internal teams and external data collectors</li>
<li>Set technical direction and priorities for a cross-disciplinary computer vision team</li>
<li>Mentor and coach team members with technical depth and empathy, supporting their professional growth and career development</li>
</ul>
<p><b>The experience you bring</b></p>
<ul>
<li>Bachelor's / Master's degree in Computer Science, Robotics, or equivalent experience</li>
<li>7+ years of professional software development experience in Python and C++</li>
<li>3+ years of experience in geometric computer vision</li>
<li>3+ years of technical leadership experience managing and mentoring engineering teams</li>
<li>Proven track record in system architecture involving hardware and software</li>
<li>Proven track record managing cross-functional projects with multiple stakeholders</li>
<li>Demonstrated ability to operate with high autonomy in ambiguous environments</li>
</ul>
<p><b>It's exciting if you also have</b></p>
<ul>
<li>Experience with camera calibration, bundle adjustment, and hand-eye calibration techniques</li>
<li>Hands-on experience with OptiTrack or similar motion capture systems</li>
<li>Background in XR/AR/VR development</li>
<li>Experience integrating and calibrating Lidar sensors</li>
<li>Strong rapid prototyping skills for hardware and software systems</li>
</ul>
<p><b>Additional Information</b></p>
<p>
All your information will be kept confidential according to Equal Employment Opportunities guidelines</p>
<p>
Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.</p>
<p>
All legitimate Magic Leap email communications will end with &quot;@magicleap.com&quot;. Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to <b>TalentAcquisition@magicleap.com</b> for assistance.</p>
<p><b>
Accommodations</b></p>
<p>
If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing <b>ApplicantAccommodation@magicleap.com</b>. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.</p><br>
<p></p>
<p>
#LI-CP</p>
<p>
#LI-HYBRID</p></div>

Engineering Manager, Computer Vision Data and Ground Truth Tools

Egen Solutions Inc

<div><div><div><b>Job Description :</b></div><div></div><div><br>
We are seeking a highly motivated and experienced ML Manager/Lead Data Scientist to join our growing ML/GenAI team.</div><div></div><div><br>
You will play a key role in designing, developing and productionalizing ML/GenAI applications by evaluating models, training and/or fine tuning them. As a lead, you require a deep understanding of both machine learning algorithms and software architecture. You need to take ownership of projects from conception to deployment, collaborating with engineers and stakeholders to ensure successful project delivery.</div></div><div><div><h3 class="jobSectionHeader"><b>
What we're looking for:</b></h3><ul><ul><li>
At least 5 years of experience in designing &amp; building ML/AI applications for customer and deploying them into production</li><li>
At least 8 years of Software engineering experience in building Secure, scalable and performant applications for customers.</li><li>
At least 2 years of experience leading and mentoring ML/data science teams( 4+ team members)</li><li>
Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.</li><li>
Design, develop, and operationalize existing ML models by fine tuning, personalizing it.</li><li>
Evaluate machine learning models and perform necessary tuning.</li><li>
Develop prompts that instruct LLM to generate relevant and accurate responses.</li><li>
Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.</li><li>
Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.</li><li>
Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions. This includes designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning strategies.</li><li>
Hands on customer experience with RAG solution or fine tuning of LLM model.</li><li>
Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.</li><li>
Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.</li><li>
Act as the senior-most developer, writing clean, high-quality, and scalable code. This includes building core components for prompt engineering, vector search, data processing, model evaluation, and inference serving.</li><li>
Proven experience building and deploying machine learning models in production environments for real life applications</li><li>
Good understanding of natural language processing, computer vision or other deep learning techniques.</li><li>
Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).</li><li>
Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.</li><li>
Excellent communication, collaboration, and problem-solving skills.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Good to Have
</b></h3><ul><ul><li>Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.</li><li>
Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.</li><li>
Experience with AutoML and vision techniques.</li><li>
Master&rsquo;s degree in statistics, machine learning or related fields.</li></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

Engineering Manager-AI/ML

Qureos 

<p>Oversee all engineering licensing activities and regulatory approvals for the firm’s projects with government entities (such as Municipalities, Royal Commissions, and the Diriyah Gate Development Authority). Ensure that all projects meet regulatory and technical requirements within the designated timelines and according to the highest standards of quality and compliance.<br><br><strong>Key Responsibilities and Duties:</strong><br>&nbsp;</p><ol><li>Prepare and review project drawings and documents (building permits, occupancy permits, demolition permits, modification permits, site preparation, etc.).</li><li>Coordinate with Riyadh Municipality and relevant government authorities to secure required regulatory approvals.</li><li>Study municipal regulations and the Saudi Building Code (SBC) and ensure full compliance of architectural designs and plans.</li><li>Manage the submission of applications through the “Balady” platform, Riyadh Municipality platform, or other related platforms (Royal Commission, Diriyah Gate Development Authority, etc.).</li><li>Follow up on special approvals and exemptions for unique project types (hotels, investment projects, etc.).</li><li>Review and approve final architectural drawings before submission to official authorities.</li><li>Supervise and coordinate the work of engineers in the Licensing Department and distribute tasks accordingly.</li><li>Ensure training and proper development of engineers in the building permit section to complete tasks effectively.</li><li>Review contracts and coordinate with the Contracts Department before sending them to clients to ensure technical and regulatory accuracy.</li><li>Maintain ongoing coordination with the Design Department and external engineering offices to complete required technical and administrative documentation.</li><li>Track applications with legal representatives or government liaison officers until building permits are officially approved.</li><li>Prepare periodic reports for management, including project status, licensing progress, and payment follow-ups according to signed contracts.</li><li>Represent the firm in meetings and site visits with government entities or project owners when required.</li><li>Follow up on Central Inspection reports with the responsible engineer and ensure they are submitted in the system until issuance of the Occupancy Certificate.</li></ol><p><br><strong>Required Qualifications:</strong><br>&nbsp;</p><ul><li>Bachelor’s degree in Architecture.</li><li>8 to 10 years of proven experience in building permit licensing within Saudi Arabia.</li><li>Strong knowledge of Riyadh Municipality regulations, Balady platform procedures, and local regulatory requirements.</li><li>Full familiarity with the Saudi Building Code (SBC) and related municipal regulations.</li><li>Strong communication and coordination skills with government agencies and internal departments.</li><li>Professional classification with the Saudi Council of Engineers.</li><li>Proficiency in computer use, AutoCAD, and electronic municipal systems.</li></ul>

Engineering Licensing Manager

Alfaisal University

<div></div><div><div><h5 class="jobSectionHeader"><b>Overview</b></h5>
<div></div><div><div><div>Department<b> College of Engineering</b></div>
</div><div></div><div><div>Division<b>CM&#8209;iTAD</b></div>
</div></div><div></div><div><div><div>Job Family<b>Faculty- Academic</b></div>
</div><div></div><div><div>Reports to<b>Dean of the College</b></div>
</div></div><div></div><div><div><div>Location<b>Alfaisal University - Riyadh
</b></div></div></div></div><div><p>The Postdoctoral Research Fellow will support a research initiative focused on developing mix designs for mortars, concrete, and earth-based materials utilized in 3D printing technologies. Duties include participating in interdisciplinary research related to innovative and sustainable materials, and restoration of historic structures. The position supports the laboratory&rsquo;s objectives by incorporating artificial intelligence, device development, computational modeling, and micro- and nano-scale material assessment to address practical needs in the construction sector.
</p><h4 class="jobSectionHeader"><b>Primary Duties &amp; Responsibilities</b></h4>
<ul><li>Produces high-quality publications and delivers presentations at national or international conferences to disseminate findings and enhance scientific impact.</li>
<li>Contributes to interdisciplinary research initiatives that align with the lab&rsquo;s and institution&rsquo;s strategic goals, fostering collaboration across fields to address complex challenges.</li>
<li>Participates in the preparation of research proposals for external funding and supports reporting to ensure sustained project resources and compliance with grant requirements.</li>
<li>Designs, conducts, and analyzes experimental or computational research to generate valid, reproducible results across relevant scientific and engineering domains.</li>
<li>Develops and prototypes research tools, systems, or devices, ensuring accuracy, usability, and innovation to advance experimental capabilities.</li>
<li>Build and refine computational models or experimental systems that support data-driven investigations and contribute to knowledge advancement.</li>
<li>Contributes to the preparation and dissemination of research findings through publications, reports, and presentations to communicate effectively to scientific and professional audiences.</li>
<li>Supports the development of software, algorithms, or analytical methods applicable to ongoing research projects to enhance data analysis and modeling capabilities.</li>
<li>Maintains research documentation and data in a professional, organized, and secure manner to ensure accuracy, reproducibility, and compliance with data management standards.</li>
<li>Collaborates in the optimization of 3D printing parameters and material mix designs to enhance the mechanical performance, durability, and sustainability of printed construction elements.</li>
<li>Mentors students in research methodologies, experimental design, and data analysis to support academic development and advance the laboratory.</li>
<li>Performs all duties in a professional, effective, and confidential manner.</li>
<li>Performs all other related duties as required or assigned by the manager.</li>
</ul><div></div><h4 class="jobSectionHeader"><b>Education
</b></h4><ul><li>Doctor of Philosophy (Ph.D.) Material science, Construction materials, Architectural Engineering, Civil Engineering, Construction Engineering or an equivalent degree from an accredited institution.
</li></ul><h4 class="jobSectionHeader"><b>Professional Experience
</b></h4><ul><li>Minimum of five years of research experience supporting or conducting projects involving experimental, computational, or analytical work in engineering, or related fields.</li></ul></div></div><p></p>

Postdoctoral Research Fellow #061125

GE Vernova

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
The Product Manager for GenAI at GE Vernova plays a crucial role in the development and execution of GenAI-powered products that transform business processes. This role is essential to our mission of pioneering AI-driven<br>
innovation and enhancing user experiences across the enterprise.<br>
<br>
The Product Manager will work with across GE Vernova and with the GenAI<br>
Portfolio Manager to identify, prioritize and build out GenAI products. These<br>
products (several) focus on delivering improvements and value through the lens<br>
of the Safety, Quality, Delivery, and Cost (SQDC) framework, measuring the<br>
impact of GenAI initiatives.
<br>
<br>
Additionally, the Product Manager facilitates cross-business coordination,<br>
leveraging GenAI applications to drive operational improvements and foster<br>
innovation across Vernova. Expertise in AI, combined with strong business<br>
acumen, is pivotal in translating complex technical challenges into strategic<br>
opportunities that propel the organization forward. These duties extend to not<br>
only internally developed solutions, but also to external suppliers (e.g. 3rd party<br>
software).<br>
<br>
As a GE Vernova accelerator, GE Vernova Advanced Research is driving<br>
strategy and leading research &amp; development efforts to execute on the<br>
business&rsquo;s mission to help power the energy transition. We forge the<br>
collaborations and help invent the technologies required to electrify and<br>
decarbonize for a zero-carbon future.<br>
<br>
Representing virtually every major scientific and engineering discipline, our<br>
researchers are collaborating with GE Vernova&rsquo;s businesses, the U.S.<br>
government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
Key Responsibilities:</b></p><ul><li>
Product Ownership and Development: Collaborate with cross-functional teams, including business, engineering, and research, to develop and execute product roadmaps that align with strategic objectives.</li><li>
Roadmap input: Provide input, alongside the Portfolio manager, to build the product roadmaps</li><li>
Technical Collaboration: Work closely with data scientists, IT, and designers to ensure the development of robust AI solutions, maintaining technical rigor and introducing new methods for verifying success and identifying risks.</li><li>
User Experience: Focus on delivering exceptional user experiences by understanding and addressing user needs in AI applications.</li><li>
Cross-Business Coordination: Support the coordination of GenAI applications to drive improvements and innovations across Vernova.</li><li>
Data-Driven Decision Making: Utilize data analytics to measure product performance and make informed decisions. Define and monitor metrics and KPIs to ensure the success and impact of AI initiatives.</li><li>
Post-Launch Support: Monitor product performance post-launch, gather user feedback, and iterate on product features to enhance value delivery.</li><li>
3rd party solutions: Oversee the interjection of GenAI products coming from 3rd party software suppliers and determine best technology fit.</li></ul><p></p><p><b>
Position Requirements:</b></p><ul><li>
Bachelor's Degree in Mathematics, Computer Science, Engineering, or related field, with 5- 10 years' relevant experience.</li><li>
Experience with GE/GE Vernova highly preferred.</li><li>
Business Acumen: Ability to integrate business strategy with technical initiatives.</li><li>
Leadership: Proven leadership in managing cross-functional teams and projects. Communication Skills: Excellent communication and presentation skills to engage with diverse stakeholders and occasionally C-Suite executives.</li><li>
Experience building and deploying AI applications.</li><li>
Problem-Solving Skills: Analytical skills to identify and solve risks and challenges.</li><li>
Technical Proficiency and Data-Driven Mindset</li><li>
Must be willing to work out of an office located in Bangalore , India.</li></ul><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>No</p></div></div></div></div></div></div></div></div><p></p>

Senior Product Manager - GenAI

Search 10000+ Engineering research manager jobs near you this November. New roles added regularly across leading industries. Apply today.