Bayer

Role Description The Primary Care Sales Consultant (SC) is accountable for implementing the sales strategies for an approved Cardiorenal product. Responsibilities include: - Driving demand, clinical education, and sales by developing, coordinating, and implementing a strategic business plan for Primary Care Physicians, primarily in Community settings. - Reporting to the CVR Area General Manager (AGM) and collaborating closely with Marketing, Market Access, Patient Services, and other internal partners to drive US Pharma outcomes. - Covering the greater Minneapolis, Minnesota area with travel up to 50% within the territory. - Being domiciled within the territory. Qualifications - Bachelor's degree or 10 years of relevant sales experience in competitive landscapes in lieu of a Bachelor's degree. - Proven track record of consistent high performance in a sales role or other relevant experience. - Proven track record in developing long-standing relationships with customers. - Outstanding written and oral communication skills. - Demonstrated leadership and fostering an environment that promotes ethical behavior and compliance with company policies and applicable laws. - Ability to comply with any customer credentialing and safety requirements (e.g., up-to-date vaccinations, trainings). - Valid driver’s license and clean driving record required. Requirements - An advanced degree is a plus. - 5+ years of experience in pharmaceutical sales. - In-depth knowledge in the cardiovascular and/or diabetes and/or menopause disease states. - Product launch experience. - Strong analytical and computer capabilities. - Virtual Sales Experience. - Strong local relationships with HCPs and understanding of the local market. Benefits - Salary range: $124,320.00 to $186,480.00. - Additional compensation may include a bonus or commission (if relevant). - Health care, vision, dental, retirement, PTO, sick leave, etc.

Role Description We are seeking a Machine Learning Researcher with expertise in machine learning for biological systems, with a particular focus on genomic and multi-omic data modeling. This role is centered on building and deploying state-of-the-art AI models, including large-scale genomic language models and deep representation learning architectures, that extract actionable biological insight from complex molecular datasets. Your work will directly enable transformative applications in genomic selection and genome editing target identification. This position is being hired at the entry level. Depending on the candidate's depth of experience and demonstrated research impact, the role may be filled at the Senior Machine Learning Researcher level. YOUR TASKS AND RESPONSIBILITIES - Genomic & Omic Model Development: - Design, train, and evaluate deep learning models on diverse omic datasets. - Genomic Language Models: - Develop and fine-tune foundation models for DNA/RNA sequences. - Genomic Selection & Editing Enablement: - Build predictive models that connect genotype to phenotype across environments. - Functional Data Integration: - Integrate heterogeneous biological data types into unified predictive frameworks. - Interdisciplinary Collaboration: - Work closely with molecular biologists, geneticists, breeders, bioinformaticians, and computational scientists. - Scalable Deployment: - Partner with engineering and IT teams to operationalize models within genomic selection pipelines. - Research Contribution: - Advance the state of the art through publications and engagement with the broader computational biology and AI research community. - Documentation & Communication: - Communicate complex modeling results to diverse audiences and prepare technical reports. Qualifications - PhD in one of the following or closely related fields: - Computational Biology / Bioinformatics - Machine Learning / Deep Learning - Genomics / Statistical Genetics - Computer Science (with focus on biological or sequential data) - Biostatistics / Quantitative Genetics - Systems Biology - Another related quantitative discipline with demonstrated application to biological data - Demonstrated research experience building and training deep learning models on biological sequence data or high-dimensional omic datasets. - Proficiency in modern deep learning frameworks (PyTorch, JAX, or TensorFlow). - Working knowledge of molecular biology fundamentals sufficient to interpret model outputs in biological context. - Strong communication skills and ability to collaborate effectively across disciplines. Requirements - Hands-on experience developing or fine-tuning genomic language models or biological foundation models. - Experience with transformer architectures, long-context sequence modeling, or attention mechanisms applied to biological sequences. - Familiarity with multi-omic data integration methods. - Background in quantitative genetics or genomic prediction. - Experience with functional genomics data. - Knowledge of pangenomics, structural variant calling, or comparative genomics across crop species. - Experience with self-supervised, semi-supervised, or transfer learning strategies for data-efficient modeling in biology. - Familiarity with interpretability/explainability methods. - Exposure to classical ML approaches. - Experience with model deployment in production. - Track record of interdisciplinary collaboration with experimental biologists. Benefits - Salary of approximately $110k-150k. - Additional compensation may include a bonus or incentive program. - Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. Company Description Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s).

Role Description As the State Registration Manager, you report to the Head of Strategy & Innovation – Glyphosate. Your primary role is to manage and execute state level regulatory activities for glyphosate containing products across the United States. You will support and maintain market access by securing and defending state registrations, ensuring compliance with evolving state requirements, and providing clear guidance to asset and business teams. - Develop and implement state registration strategies to obtain favorable registrations and defend existing glyphosate registrations across all US states. - Manage the state regulatory activities necessary to support glyphosate business needs, including state registrations for New Active Ingredients, Section 3, Section 24(c), Section 2(ee), Section 18, Experimental Use Products (EUP), and related actions, in alignment with federal approvals. - Influence State Lead Agencies to obtain timely approval of pending petitions, applications, and other regulatory actions through proactive communication and follow up. - Lead or support asset team discussions on state submission strategies and collaborate with functional experts to ensure the necessary scientific data, studies, documentation, and information are available on time. - Compile and submit required state registration applications and supporting documents for glyphosate across all relevant states, ensuring completeness and consistency with federal labels. - Maintain and update regulatory tracking systems/databases for glyphosate products, including status of state registrations, renewals, and key conditions. - Forecast state registration fees annually, track and adjust forecasts as needed, and coordinate payment of new product fees and annual renewal fees. - Prepare and submit state renewals and licenses for glyphosate products with appropriate supporting documentation. - Provide asset and business teams with interpretation and confirmation of state regulatory requirements, including any state specific conditions, restrictions, or label nuances. - Maintain compliance with state registration and labeling requirements by monitoring changes in state regulations and ensuring Bayer processes and labels reflect those changes. - Manage the development of state acceptable labels and ensure compliance with state regulations by working closely with business teams and label specialists during federal and state label development and submission. - Maintain current awareness of state pesticide regulations and foster strong working relationships with key state regulatory authorities. - Convey critical knowledge on state registration status and requirements for glyphosate products to relevant managers, scientists, and asset teams to reduce regulatory hurdles and support timely decision making. Qualifications - Bachelor’s degree in a relevant scientific or technical field (e.g., Agronomy, Environmental Science, Biology, Chemistry, Regulatory Science) with 8+ years of relevant Regulatory Affairs experience or Master’s degree with 6+ years of relevant Regulatory Affairs experience. - Experience working under FIFRA with pesticides and familiarity with state registration processes. - Experience adhering to regulations and requirements for submission of registration applications and dossiers. - Intermediate understanding of the agronomic / crop protection industry and competitive landscape. - Proficiency in Microsoft Office applications and comfort working with databases or tracking tools. - Capability to provide practical guidance and timeline estimates to asset teams regarding policies and procedures of State Lead Agencies. - Highly developed written and oral communication skills, with the ability to prepare clear, well structured submissions and correspondence. - Scientific knowledge of areas relevant to the state regulatory process (e.g., environmental safety, human safety) sufficient to understand and explain key issues. - Ability to construct persuasive documents to support or defend registrations when responding to state agency questions or concerns. - Strong negotiating, influencing and problem solving skills, with a proactive, solution oriented mindset. - Demonstrated ability to work well in a team environment, collaborating effectively with colleagues in Regulatory, Strategy & Innovation, Legal, Stewardship, and Commercial. Preferred Qualifications - Direct experience managing state registrations for crop protection products, including label reviews and state specific conditions. - Experience interacting directly with State Lead Agencies (e.g., State Departments of Agriculture, environmental agencies). - Experience with high visibility or widely used actives (e.g., glyphosate) or other herbicides. - Experience working in a matrixed, multi functional organization. Benefits - Employees can expect to be paid a salary between 114640.00 - 171960.00 per year. - Additional compensation may include a bonus or commission (if relevant). - Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc. Company Description Bayer is an Equal Opportunity Employer/Disabled/Veterans. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Role Description The mission of Bayer Crop Science is centered on developing agricultural solutions for a sustainable future that will include a global population projected to eclipse 9.6 billion by 2050. We approach agriculture holistically, looking across a broad range of solutions from using biotechnology and plant breeding to produce the best possible seeds, to advanced predictive and prescriptive analytics designed to select the best possible crop system for every acre. A Data Steward at Bayer has rich subject matter and domain expertise, diverse technical skills, and a passion for the quality, integrity, and usability of data. Data Stewards are: - Connectors - fostering vital relationships across a spectrum of roles and teams to ensure seamless flow and integrity of data. - Translators - bridging gaps between complex technical terms and business concepts. - Problem solvers - getting hands on with other teammates to perform data analysis, build data pipelines, improve data quality, and teach by example how to use our data and data platforms. What you will do is why you should join us. You will: - Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets. - Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact. - Pursue opportunities to present our work at relevant technical conferences. - Contribute your talent to relevant projects in an idea meritocracy. - Develop a deep understanding of our asset domain concepts, business processes, and data sources. - Share that understanding with Engineering teams, Data Scientists, Product Managers, and other stakeholders through discussions, presentations, and documentation. - Interact with our asset resources through multiple modes of access using standard tooling such as API clients, Postman, Python, SQL, and command line tools. - Answer questions through analysis of our datasets. - Lead and/or participate in design and support sessions across business organizations, lines of business, countries/hubs. - Communicate and align delivery dates, and integration efforts. - Advocate for, prioritize, and describe work in our Delivery Roadmap. - Partner closely with product owners, system analysts, and development teams to deliver data solutions aligned with an Agile roadmap. - Investigate and advocate for the inclusion of public, third party, and internal datasets. - Be accountable for data quality, governance, and usage of data. Qualifications - Minimum of a Bachelor’s Degree with 9+ years of relevant experience (or 7 years with Master’s Degree or 3 years with PhD) in areas such as technical business analysis and data analysis. - 5+ years of experience with data discovery and modeling to meet customer requirements. - Experience interacting with data-intensive APIs following common design patterns such as REST and resource-oriented principles. - Exceptional verbal and written technical communication skills toward facilitating the use of data and data services. - Ability to design and maintain efficient user feedback channels and documentation ranging from HTML/Markdown documents to Powerpoint presentations. - Ability to identify gaps in requirements based on knowledge of business subject matter domain. - Familiarity with source control management systems such as Git. Requirements - Experience in programming languages like Python. - Experience working with scientific datasets, or a background in the application of quantitative science to business problems. - Experience working within a life sciences R&D product development pipeline. - A demonstrated high degree of resourcefulness in navigating ambiguous situations via autonomous decision making. Benefits - Health care, vision, dental, retirement, PTO, sick leave, etc. - Salary between $114,400.00 - $171,600.00, with additional compensation that may include a bonus or commission.

Role Description The Global Consolidated Customer Data & AI Lead is a strategic leadership role with a dual mandate: globally, shaping consolidated customer data as a critical enterprise asset, and locally, translating Data & AI strategy into scalable business impact across multiple priority markets, with the U.S. and Canada as core markets. This role is central to building a more connected, trusted, and insight-led commercial engine. The successful candidate will turn harmonized customer data from various sources into competitive advantage by enabling: - Analytics - AI - Omnichannel engagement - Customer segmentation - Decision-making at global scale By combining global domain ownership with multi-market execution, this role bridges strategy and delivery. It ensures that enterprise standards, data products, and governance frameworks are shaped by real market needs. As AI becomes a core operating layer for commercial decision-making, customer data is evolving into continuous commercial intelligence. This role will help shape that future by: - Strengthening data foundations - Improving governance - Resolving duplication - Enabling intelligent systems for faster insight generation - More personalized engagement - Better investment decisions - Scalable growth across markets, channels, and customer types Qualifications - Master’s degree in Business, Economics, Data Science, Information Management, or a related field, or a bachelor’s degree with equivalent experience. - Proven experience as a Business Data Domain Owner with end-to-end accountability for domain strategy, governance, quality, priorities, and business alignment, ideally in customer or account data. - Deep knowledge of customer data ecosystems, master data, retailer hierarchies, distributor records, identity resolution, matching and deduplication, and third-party enrichment sources. - Strong knowledge of data governance frameworks, master data management principles, and golden record logic. - Track record of enabling analytics and AI use cases through high-quality, well-structured, and compliant customer data. - AI-native mindset with strong curiosity, hands-on AI literacy and tool use. - Experience partnering with IT to integrate customer data into enterprise platforms. - Demonstrated success leading customer data consolidation or harmonization initiatives. - Proven experience working with IT teams on data strategy, governance, architecture, and compliance. - Strong knowledge of GDPR, US state privacy laws, and third-party data usage rights. - Experience with the Focus markets US and Canada commercial data landscape. - Strong leadership, communication, and stakeholder management skills. - Fluent English required; additional languages such as French or Spanish are an advantage. Requirements - Co-shaping in defining and executing the multiple markets with focus on US and Canada Data & AI strategy. - Translate global data domain strategies into effective execution in Focus markets US and Canada. - Support NA data governance, management, and quality for customer and procured data assets. - Collaborate with cross-functional stakeholders to translate data needs into actionable insights. - Work closely with IT to enable scalable, secure, and accessible data platforms. - Integrate process design, information architecture, data architecture, and user experience considerations. - Support cross-functional teams in Focus markets US and Canada by promoting a data-as-an-asset mindset. - Manage day-to-day Focus markets US and Canada data priorities. Benefits - Salary between $144160-216240. - Additional compensation may include a bonus or commission. - Health care, vision, dental, retirement, PTO, sick leave, etc.

Role Description Global Director Market Data & AI is a strategic leadership role with a dual mandate: globally, shaping market data as a critical enterprise asset, and locally, translating data and AI strategy into scalable business impact across multiple priority markets, with the U.S. and Canada as core markets. This role is central to building a more predictive, connected, and insight-led commercial engine. The successful candidate will turn trusted market data into competitive advantage by enabling analytics, AI, and decision-making at global scale while ensuring business teams can act on harmonized, high-quality, and activation-ready data. By combining global domain ownership with multi-market execution, this role bridges strategy and delivery. It ensures that enterprise standards are shaped by real market needs, while local initiatives benefit from scalable governance, reusable data products, and cross-market best practices. As AI becomes a core operating layer for commercial decision-making, market data is evolving from reporting support into continuous commercial intelligence. This role will help shape that future by strengthening data foundations, improving governance, and enabling intelligent systems that support faster insight generation, better investment decisions, and scalable growth across markets. Qualifications - Master’s degree in business, Economics, Data Science, Statistics, or a related field; bachelor’s degree with equivalent experience also considered. - Proven experience as a Business Data Domain Owner with end-to-end accountability for domain strategy, governance, data quality, priorities, and business alignment. - Experience managing market data vendors, budgets, contract negotiations, provider consolidation, and license optimization. - Experience defining and maintaining commercial data dictionaries, metadata, lineage, data caveats, and usage standards. - Strong knowledge of data governance frameworks, data quality controls, and their practical application in large commercial organizations. - Track record of translating business outcomes into analytics, automation, and AI use cases enabled by high-quality, well-structured, and compliant market data. - Practical understanding of responsible AI principles, data privacy, third-party data usage rights, and governance requirements for compliant AI deployment. - Experience partnering with IT, product, analytics, and business teams to integrate market data into enterprise platforms such as Snowflake, Azure, or Databricks, moving data and AI use cases from concept to scalable adoption. - Demonstrated success leading data and AI initiatives from strategy to deployment and adoption, including value tracking, user enablement, and measurable impact on business outcomes. - Experience with AI-enabled process redesign, including working backwards from business outcomes, defining data and workflow requirements, and supporting adoption across markets or business units. - Ability to shape structured and unstructured data requirements, semantic definitions, metadata, and interpretation rules needed for analytics, automation, and AI-powered decision support. - Strong knowledge of GDPR, third-party data usage rights, and license management in a regulated environment. - Strong leadership, communication, and stakeholder management skills. - Strong ability to lead human-centered transformation, helping teams understand how AI will augment work, reduce manual effort, and shift contribution toward higher-value activities. - Fluent English required; additional languages (Spanish, Polish, German) are an asset. Requirements - Define the global vision, roadmap, and success measures for market data, including acquisition, governance, activation, and value realization in partnership with Insights & Analytics, Marketing, Sales, Finance, IT, Procurement, and external data providers. - Define and enforce global governance standards, taxonomies, data policies, and quality frameworks across the full data lifecycle — from ingestion to consumption — ensuring compliance with GDPR, data privacy, licensing terms, and applicable regulatory requirements in partnership with Legal and IT. - Own the global market data quality and enrichment strategy, including standards, matching algorithms, and scoring models that keep profiles accurate, deduplicated, complete, and fit for activation and AI use. - Partner with cross-functional teams—including Digital, Data, Technology, Customer & Commercial, Media, and Operating Units—to design global-to-local data flows, integration models, and activation strategies that connect structured and unstructured data across markets. - Establish and coordinate a global network of Data Owners and Business Data Stewards, providing clear accountability, escalation paths, and decision-making forums across markets. - Co-shape the Master Data Strategy, ensuring Market Data aligns with Product, Customer, and Consumer master domains — harmonizing market and channel definitions across providers and systems to enable downstream analytics and AI use cases. - Ensure Market Data is AI-ready by design — with robust quality, consistent structures, documented lineage, compliant usage rights, and clear semantic standards — so data can reliably fuel analytics, automation, and intelligent action in collaboration with I&A Home, IT, Legal, and others. - Define and execute a multi-market data and AI roadmap aligned with commercial priorities, with the U.S. and Canada as core markets and a focus on scalable, reusable data products, AI-enabled workflows, and measurable business outcomes. - Translate global data domain strategies into effective market execution, capturing feedback from priority markets to continuously strengthen enterprise-wide strategy. - Identify, prioritize, and lead data and AI initiatives that deliver measurable business value, including revenue growth, cost optimization, stronger consumer engagement, and faster commercial decision-making. - Work backwards from priority market outcomes to redesign data-enabled and AI-supported processes, ensuring that information flows, data connections, and decision points are practical for markets to adopt and scalable across product teams. - Integrate process design, information architecture, data architecture, and user experience considerations to create intelligent, user-friendly workflows that can be deployed and continuously improved across priority markets. - Oversee governance, management, and quality for procured and internal data assets, partnering with IT, Legal, Privacy, and business stakeholders to ensure secure, compliant, and value-driven data usage. - Collaborate with global and market teams across Marketing, Sales, Supply Chain, Regulatory, Digital, Finance, and Commercial Excellence to understand business needs and translate them into actionable data capabilities. - Partner with IT to enable scalable, secure, and accessible data platforms that connect business requirements with technical delivery, support cross-market adoption, and enable responsive information flows from data source to business action. - Lead cross-functional working teams and human-centered change management, creating a clear vision for how AI will augment work, reduce manual effort, and help teams adopt new ways of working with confidence. Benefits - Employees can expect to be paid a salary between $173280- 259920. - Additional compensation may include a bonus or commission (if relevant). - Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

Role Description The world's farmers make high-stakes decisions every season — and the platforms built by Digital Farming Solutions Engineering are what makes those decisions smarter. As a Staff Engineer, your role is to ensure those platforms are architected for scale, reliability, and the demands of AI and machine learning at a global level. You will set technical direction, define how teams approach complex problems across precision agriculture data, geospatial imagery, and cloud infrastructure, and resolve the systemic challenges that no single team can solve alone. Equally important, you will raise the engineering culture around you — mentoring senior engineers into Staff-level leaders, championing best practices, and ensuring that what we build today is maintainable, extensible, and worthy of the mission it serves. This role combines staff-level backend engineering leadership with deep expertise in distributed systems, data-intensive platforms, and real-time architectures. You will define technical direction, drive architectural quality, and help teams solve systemic problems that no single team can solve alone, while building cloud-native systems across AWS and/or GCP. Qualifications - BS or equivalent in Computer Science or related technical field or equivalent combination of education and experience - 8+ years of experience in software and data engineering - Proven history of ability to quickly learn new skills and technologies - Expert knowledge in at least one modern backend programming language (e.g., Python, Java) - Experience with containerized and cloud-native development, including technologies such as Docker and CI/CD-driven delivery workflows - Strong understanding of at least one public cloud platform - Experience building APIs and backend platforms for data products - Strong knowledge of software development methodologies and best practices - Experience using data and service observability techniques to drive support and improvements of systems - Strong experience with event-driven architectures using messaging middleware (SQS, JMS, etc.) - Proficiency with managing CICD pipelines (e.g., GitLab Pipelines, GitHub Actions) - Experience building distributed systems in AWS and/or GCP - Experience supporting AI/ML data workflows through robust data pipelines - Strong system design and problem-solving skills Requirements - Experience with Spark, Flink, Dataflow, Dataproc - Experience with Docker and cloud-native development - Experience building scalable data platforms or lakehouses (Strong Plus) - Experience with layered geospatial data structures, data representations and processing frameworks (Strong Plus) - Experience supporting ML/AI platforms such as feature stores or training/inference data pipelines (Strong Plus) - Experience building self-serve data platforms, backend data products, or APIs consumed by downstream engineering, analytics, or AI/ML workflows (Strong Plus) - Proven ability to develop other strong senior engineers into Staff engineers, operating and leading their own initiatives with org-wide scope and high impact Benefits - Salary of approximately $117k-171k - Additional compensation may include a bonus or incentive program (if relevant) - Health care, vision, dental, retirement, PTO, sick leave, etc. Company Description Bayer is an Equal Opportunity Employer/Disabled/Veterans. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer.

Role Description Lead Medical Science Liaison for Whippany, NJ to promote and advance the clinical development of genitourinary oncology drugs. - Provide strategic pharmacological support to research programs. - Disseminate pharmacologic data related to genitourinary oncology drug portfolio, including: - Uses - Selection - Dosage - Interactions - Dispensation - Administration - Side effects - Develop pharmacological content & deliver presentations to healthcare providers and medical stakeholders. - Mentor junior Medical Science Liaisons. Qualifications - Master’s degree in Pharmacy or a closely-related medical field. - 2 years experience in a pharmaceutical environment. Requirements - Developing & executing scientific engagement plans across academic and community-based healthcare institutions. - Supporting clinical trial activities, including: - Investigator identification - Feasibility assessments - Study initiation - Trial support - Collecting, documenting & communicating actionable medical insights from healthcare professionals to internal teams for use in clinical strategy development. - Preparing & delivering scientific presentations to healthcare providers on: - Clinical trial data - Drug mechanisms of action - Safety - Therapeutic usage - Using data analytics platforms and/or omnichannel engagement tools to track stakeholder engagement & tailor scientific interactions. - Participating in advisory boards, scientific meetings, and/or cross-functional strategy sessions with medical, commercial, and/or clinical operations teams. Benefits - Telecommuting permitted from home office location anywhere in the US. - Up to 70% US travel required. - Salary Range: Employees can expect to be paid a salary between $231,000.00 to $255,000.00. - Additional compensation may include a bonus or commission (if relevant). - Additional benefits include: - Health care - Vision - Dental - Retirement - PTO - Sick leave

Role Description The Analyst Customer Support incumbent provides comprehensive customer service and support across various channels for both business and end-consumer customers. Responsibilities include: - Handling post-sale inquiries, including technical and non-technical issues, through remote support via phone, online chat, or text, as well as in-person assistance at distribution centers or service facilities. - Ensuring good customer relations by resolving claims and complaints fairly and effectively, in compliance with consumer laws. - Developing organization-wide initiatives to proactively inform and educate customers. - Creating improvement plans based on customer feedback and surveys to enhance overall service quality and customer satisfaction. - Supporting O2B functions for the Radiology Business Unit (consumables) and collaborating with the Shared Services Organization (SSO). - Acting with full authority on behalf of the team while participating in all aspects of customer service functions supporting the Radiology consumables business. - Emphasizing problem-solving through root cause analysis and proactive service. - Identifying trends, new business, process improvements, digital opportunities, and training needs in support of the DSO environment – Customer centric model. Qualifications - Bachelor’s degree required within a relevant field of study in a business-related field. - A minimum of 2 years’ experience in a Sales/Logistics/Customer Service operation. - Proven interaction with Sales, Finance, Credit, and Supply Chain environment. - Skilled in dealing with multiple levels of Internal and External personnel. - Proficient in all applicable systems currently utilized by business and versions of SAP. - Thorough knowledge of SAP, Oracle Business Intelligence Reporting, Vistex Contracting System, and EDI transaction sets. - Strong knowledge of all phases of Supply Chain activity. - Good communication skills and demonstrated ability to adapt to change. - Ability to prioritize tasks and manage time effectively. Requirements - Must have a complete understanding of customer requirements, proactive communication, resolution of issues, and goal alignment with the sales organization. - Ability to actively participate with the sales force team and customers in meetings to generate customer solutions and achieve joint goals. Benefits - Salary range between $52,960.00 to $79,440.00. - Additional compensation may include a bonus or incentive compensation. - Health care, vision, dental, retirement, PTO, sick leave, etc.

Role Description The world's farmers make high-stakes decisions every season — and the platforms built by Digital Farming Solutions Engineering are what makes those decisions smarter. As a Senior Engineer, your role is to ensure those platforms are architected for scale, reliability, and the demands of AI and machine learning at a global level. You will build and deliver critical platform capabilities that power digital agriculture at global scale — translating complex agricultural challenges into scalable, production-grade systems. You will own meaningful technical problems from design through delivery, ensuring solutions are reliable, observable, and built to last, while collaborating closely with product, data science, and engineering partners to turn data, algorithms, and cloud capabilities into real outcomes for farmers. Along the way, you will raise the bar for engineering quality — contributing to continuous improvement, mentoring others, and growing your impact as a technical leader within and across teams. Your Tasks and Responsibilities - Build a collaborative atmosphere to create solutions to complex problems with cross-functional teams to understand requirements and translate them into technical solutions. - Drive continuous improvement in system implementation and operational excellence, with a focus on quality, scalability, observability, and maintainability. - Participate in code reviews, provide constructive feedback, and mentor junior engineers to foster a culture of continuous learning and improvement. - Ensure system security and data privacy compliance. - Stay current with the latest technologies and industry trends, evaluating and integrating new tools and methodologies as appropriate. - Build a culture of empathy for the customer and accountability to make a difference for the world’s farmers. - Work with data ranging from on-farm collected precision agriculture data to remote sensed satellite imagery. - Implement efficient algorithms and services for diverse and challenging precision agriculture applications. - Build your knowledge and contribute your ideas through interactive product design sessions, hackathons, and on-farm opportunities. Qualifications - BS or equivalent in Computer Science or related technical field or equivalent combination of education and experience. - 5+ years of hands-on experience in software development. - Strong experience with Computer Science fundamentals, including data structures and algorithms. - Proven history of ability to quickly learn new skills and technologies. - Experience with developing highly scalable cloud-based microservices and data pipelines using container technologies (e.g., Docker). - Excellent problem-solving and collaboration skills. - Excellent written and verbal communication skills including the ability to present complex information in a clear and concise manner to engineering and non-engineering audiences. - Proficiency in at least one modern backend programming language (e.g., Java, Python). - Experience with relational and non-relational data stores including hands-on experience with SQL. - Proficiency with managing CICD pipelines (e.g., GitLab Pipelines, GitHub Actions). Requirements - Demonstrated leadership skills, with experience in mentoring and guiding junior engineers. - High bar for quality as demonstrated by code reviews, documentation, unit and integration testing. - Strong understanding of at least one containerization technology (e.g., Docker). - Strong understanding of multiple AWS capabilities (EC2, S3, RDS, SQS, etc.). - Experience using observability techniques to drive support and improvements of systems. - Experience with event-driven architectures using messaging middleware (SQS, JMS, etc.). Benefits - Employees can expect to be paid a salary of approximately $104k-156k. - Additional compensation may include a bonus or incentive program (if relevant). - Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.