{"domain": "climate.com", "user": "", "isWillingToRelocate": false, "isUserAuthenticated": false, "isUserETXCandidate": false, "isDomainETX": false, "isDomainVeteran": false, "signUpConfig": {}, "getHelpButton": {}, "isCareerPlannerEnabled": false, "enableRememberMeOption": false, "isMyApplicationsEnabled": false, "showVeteranEmployerSignUp": false, "enableUserPreferenceSelection": false, "isUserPreferenceApplied": false, "candidate": {"enc_id": 0, "fullname": "", "firstname": "", "lastname": "", "email": "", "phone": "", "location": "", "filename": null, "starred_positions": [], "resumeUrl": "", "onboardingCompleted": false, "isUserInPcsIjp": false}, "branding": {"enableTalentNetwork": 1, "homePageHeroBanner": {"useImage": 0, "opacity": 1, "hideInMobileView": false, "image": "https://static.vscdn.net/images/careers/demo/climate/1676562966::Screen+Shot+2023-02-16+at+9.55.26+AM.png"}, "companyName": "Climate", "navBar": {"opacity": 0.8, "image": "https://s3-us-west-2.amazonaws.com/climate-com/images/components/media_kit/logo/Climate_Corporation_thumb.png", "link": "", "background": "#FFFFFF", "title": "Climate"}, "hideJobCart": true, "showJobId": 1, "privacy": {"text": "Please confirm that you agree to the <a href='https://climate.com/us-privacy-statement' target='_blank'>Data Privacy Policy</a>", "button": "Agree", "title": "Data Privacy"}, "custom_style": {"font": "https://fonts.googleapis.com/css?family=Gotham", "css": ".banner-item .banner-item-title{font-size:11pt!important;font-weight:bold;top:6px;right:65px;}html *:not(h1):not(.fa):not(.far):not(.fas):not(.profile-image-container)::not(.fal):not(.fab):not(.footable):not(.fooicon):not(.footable-sort-indicator){font-family: 'Helvetica', 'Arial', sans-serif !important;font-size:11pt!important}.btn-primary{background-color: #F7A700 !important;border-color: #F7A700 !important}.btn-primary:hover{background-color: #F7A700 !important;border-color: #000 !important;color: #000 !important}.go-button{border-color: #525150!important;color: #525150!important;font-weight:bold}.btn-secondary{border-color: #F7A700!important;color: #F7A700!important}.btn-secondary:hover{border-color: #F7A700!important;color: #F7A700!important}.position-apply-button,.add-to-job-cart-button{background:#F7A700!important;border-color: #F7A700 !important;color: rgb(31, 114, 229) !important}.position-apply-button, .add-to-job-cart-button:hover{color: #ffffff !important}.people-card-matches{color: rgb(31, 114, 229) !important}.perk-icon{color: rgb(31, 114, 229) !important}.search-results-main-container .position-cards-container .card-selected {border-left-color:#ff5b00!important;}.personalization-bar{background-color: #525150 !important; color: #FFFFFF!important;}.position-card .position-title{color: #F7A700 !important}.all-positions-header h1{font-size: 20pt !important; color: #525150 !important;font-weight:bold;}.perk-icon{color: #F7A700 !important}.jumbotron{font-size: 200px !important}.advanced-options-button{color: #525150 !important;font-weight:bold}.jumbotron h1{font-size:28pt!important;font-weight:bold!important;color: #000!important;}.position-sub-title, .custom-content-title {font-size:18pt!important;font-weight:normal!important;color:#525150!important;}.banner-item img{width: 136px;}.banner-item {right:-43px;}.join-tn-link { font-size: 18px !important; font-weight: bold; color: #000 !important} .apply .navbar img { height: 45px !important;color: #2C8CC9 !important}.hero-image{}.d-inline-block align-top{height: 50px!important;.btn-primary:hover { background-color: #F7A700!important; border-color: #F7A700!important; color: #F7A700!important} .personalization-bar {color: #F7A700!important}.privacy-agreement {width: 470px !important;min-height: 590px !important;border-radius: 30px !important; padding: 15px 15px 15px 15px; !important; font-size:9pt !important}. privacy-agreement .btn-sm {color: #F7A700!important;border-color: #F7A700 !important}.btn.btn-secondary.browse-button { background-color: #F7A700!important}#career-workflow .browse-button {color: #F7A700 !important;background-color:#F7A700!important;border-color:#F7A700!important}#career-workflow .dropzone {border-radius: 7px !important;height: 154px !important;border-color: #F7A700 !important}.profile-dropdown.dropdown-title { color: #F7A700 !important}"}, "talentNetworkBranding": {"custom_html": {"header": "", "footer": ""}}, "talentNetworkHeroBanner": {"useImage": 1, "opacity": 0.8, "hideInMobileView": false}, "page_title": "Careers at Climate", "job_page_title": "Careers at Climate", "page_description": "Careers at Climate", "page_image": "https://static.vscdn.net/images/careers/demo/climate/1664526850::Climate-Image", "custom_html": {"header": "", "footer": ""}, "custom_head_scripts": {"HOME_PAGE_LOAD": "", "SINGLE_POSITION_PAGE_LOAD": "", "APPLY_FORM_PAGE_LOAD": "", "SUCCESS_FORM_PAGE_LOAD": "", "JOIN_TALENT_NETWORK_PAGE_LOAD": ""}, "links": {"rss": ["http://fetchrss.com/rss/63ee6061c60d4a656a1f696263ee6051804ab30b4f6f1442.xml"]}, "recaptcha_enabled": 0}, "positions": [{"id": 15628129, "name": "Business Strategy Lead, Engineering", "location": "San Francisco,California,United States", "locations": ["San Francisco,California,United States", "Seattle,Washington,United States"], "hot": 0, "department": "Administrative", "business_unit": "Engineering", "t_update": 1679678192, "t_create": 1679591697, "ats_job_id": "oRAOmfwl", "display_job_id": "3481", "type": "ATS", "id_locale": "3481-en", "job_description": "Lead the development and prioritization of strategic initiatives across the organization, in collaboration with other members of the Leadership Team Identify and develop recommendations to improve organizational productivity Use deep technical knowledge, experience in industry, and strong business acumen to make strategic decisions on behalf of the leadership team that focus attention on the most important activities Lead the development of departmental high-level goals, including consistent tracking, refinement, and reporting against these Develop action plans and lead the execution of special projects essential to the success of the department, including developing materials for annual planning and other key strategic decision-making processes Effectively manage ad hoc projects and analysis as required Use analysis to influence and drive action within engineering and our business partners by using fact-based, holistic and forward-looking perspectives to identify emerging issues and assist in implementation of strategies Drive clear and effective communication with the Engineering Leadership team, as well as with the broader engineering function Represent Vice President of Engineering by serving as a liaison and/or delegate in meetings, where appropriate, regularly interacting with senior leaders and executives across the company In related field (Agriculture, Life/PhysicalScience, Finance, Economics, Business, Engineering, etc): Bachelor's degree & 10+ years work experience OR MS/MBA & 7+ years work experience OR PHD & 5+ years work experience Experience planning and leading multiple strategic initiatives simultaneously; Strategic mindset, excellent problem-solving skills, and high degree of resourcefulness Strong facilitation of leadership teams; Ability to defuse conflict Interpersonal skills to work effectively in a team environment as well as ability to work independently and represent decisions, where appropriate, of the Vice President of Engineering Excellent communication, analytical, project management, presentation and interpersonal skills Experience or training in executive management and/or corporate strategy Willingness to travel to various work and office locations on an as-needed basis (up to 20%) Familiarity with business and organizational concepts; analytical skills to compile information requiring combinations of data from multiple sources. Excellent business and organizational acumen and program/project management Experience driving strategy into execution and leading complex programs Effective time management and organization skills with a proven ability to multitask in a high growth environment Solid work ethic, including ability to follow-up, focus on details, and take initiative Intellectual curiosity and drive for continuous improvement", "stars": 0.0, "medallionProgram": null, "location_flexibility": null}, {"id": 15585835, "name": "Geospatial Data Engineer", "location": "St. Louis,Missouri,United States", "locations": ["St. Louis,Missouri,United States", "San Francisco,California,United States", "Seattle,Washington,United States", "Chicago,Illinois,United States"], "hot": 0, "department": "Science", "business_unit": "Science", "t_update": 1678911791, "t_create": 1678911410, "ats_job_id": "o5EKmfwz", "display_job_id": "3478", "type": "ATS", "id_locale": "3478-en", "job_description": "Support and develop our algorithms running in Production systems that serve various business applications by developing automated validation processes to uncover issues, responding to support requests, investigating potential issues, implementing fixes/improvements, and summarizing findings and recommendations to Engineering, Product, and Science stakeholders Perform root cause analysis of our agronomic vector data as a part of validating our software. Analyze and communicate unexpected behaviors of our algorithms by understanding how minute variations in the data affect results. Collaborate/coordinate with members of your team and outside teams with varied backgrounds to deliver and support our software as a part of larger highly interconnected efforts B.A/B.S. in Computer Science, Statistics, Mathematics, Engineering or related field with at least 2 years of relevant work experience or M.S. 2+ years development experience in Python, including experience with Conda, package development, benchmarking/optimizing performance, code data wrangling and visualization libraries (e.g. pandas, matplotlib) Basic-to-intermediate statistics knowledge with the ability to efficiently execute root cause analysis, exploratory data analysis, and data summarization Experience using git, participating in code review, and software development best practices Experience with methods and tools of geospatial data analysis Experience working with Apache Spark Experience developing and maintaining CI/CD pipelines Experience with technologies related to cloud data applications (eg Splunk, AWS) Experience improving the efficiency of data pipelines and methodologies to reduce development time Agronomic domain knowledge/previous work experience in plant or crop sciences.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null}, {"id": 15498995, "name": "ML Ops Engineer", "location": "Seattle,Washington,United States", "locations": ["Seattle,Washington,United States", "San Francisco,California,United States", "Chicago,Illinois,United States", "St. Louis,Missouri,United States"], "hot": 0, "department": "Science", "business_unit": "Science", "t_update": 1678133567, "t_create": 1677857127, "ats_job_id": "oHiEmfwJ", "display_job_id": "3475", "type": "ATS", "id_locale": "3475-en", "job_description": "Collaborate with data engineers, data scientists, and product teams to guide the translation of R&D; prototypes into stable, testable, and maintainable production services Develop and deploy tools and services for our team to accelerate the production lifecycle and assessment of production readiness Help lead team members in executing continuous integration and continuous delivery (CI/CD) activities to release code into a Production environment Act as a consultant within the Science Organization on software engineering principles, code quality, and performance optimization techniques Apply software engineering rigor and best practices to machine learning, including CI/CD and automation Build model performance monitoring capabilities and data monitoring tools MS Computer Science, Engineering, Technology, Mathematics, Statistics, or related field with 3+ years of industry experience or BS + 5 years' experience Hands on coding experience with Python building end-to-end systems as an MLOps Engineer, Machine Learning Engineer, Software Engineer, or equivalent Experience in ML model development, orchestration, deployment, monitoring, support and creating and maintaining deployment pipelines with CI/CD tools Experience with cloud computing platforms like AWS, GCP, or other cloud providers developing with containers (e.g., Docker, Kubernetes) in cloud computing environments Exposure to deep learning approaches and modeling frameworks (Py Torch, TensorFlow, Keras, etc.) Familiarity with MLflow or similar platforms like Kubeflow or SageMaker Experience building and evaluating machine learning models Strong understanding of software testing, benchmarking, and continuous integration Experience mentoring and teaching software development best practices to data scientists Ability to translate complex technical concepts to collaborations, decision makers, and non-technical audiences", "stars": 0.0, "medallionProgram": null, "location_flexibility": null}, {"id": 15498994, "name": "Geospatial Data Scientist", "location": "San Francisco,California,United States", "locations": ["San Francisco,California,United States", "Seattle,Washington,United States", "Chicago,Illinois,United States", "St. Louis,Missouri,United States"], "hot": 0, "department": "Science", "business_unit": "Science", "t_update": 1678133597, "t_create": 1677856967, "ats_job_id": "oviEmfwx", "display_job_id": "3474", "type": "ATS", "id_locale": "3474-en", "job_description": "A Geospatial Data Scientist plays a key role in delivering innovative scientific breakthroughs by developing geospatial datasets and/or robust, predictive agronomic models for a variety of crops. You will work closely with interdisciplinary scientists, leveraging genetic, environmental, and farm management data to provide personalized prescriptions for growers through the development of novel analytical and predictive models to predict crop and agronomic performance. Clean, munge, and explore diverse environmental, EO remote sensing and/or geospatial datasets Develop environmental and geospatial layers, and test these layers in predictive models Analyze and judge the quality of data, and work with the data quality team to resolve issues Design, prototype, and implement models to explore spatio-temporal dynamics and variability in agricultural fields using diverse techniques that include, but are not limited to process modeling, statistical modeling, machine learning, data mining, and optimization Collaborate with other data scientists and engineers in developing models to characterize, diagnose and/or predict patterns of crop performance Write robust, well-documented, and well-tested research code and code libraries that adhere to community standards and best practices. MS in Statistics, Data Science, Math, Physics, Computer Science, Engineering, Soil Science, Geography, or other highly quantitative discipline + 2-year experience conducting geospatial data analysis and modeling, or PhD in one of the aforementioned disciplines Demonstrated experience with remote sensing, agricultural, and/or large geospatial data Demonstrated ability to apply statistical methods and/or data science to real world problems Demonstrated knowledge of and experience with processing and analyzing large geospatial datasets, assessing the effectiveness and accuracy of new data sources and data gathering techniques Skilled in the use of Python and SQL for research, data analysis, and/or modeling Outstanding knowledge of Earth Observation satellite data from multiple sources and spectral regions (e.g. optical, RADAR) theory, sensors as well as its main applications to agriculture. Experience with processing remote sensing optical and SAR data using python, open source or off-the-shelf software tools. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and predictive analytics. Experience using spatial and time-series statistical methods to solve agricultural research problems. Experience in designing, developing, and testing geospatial pipelines applied to machine learning model generation and deployment. Experience using version control systems, e.g. git. Experience working with cloud technologies or distributed computing platforms such as AWS, Azure, Google Cloud etc.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null}, {"id": 15420871, "name": "Cloud Solution Architect", "location": "Chicago,Illinois,United States", "locations": ["Chicago,Illinois,United States", "Seattle,Washington,United States", "San Francisco,California,United States", "St. Louis,Missouri,United States"], "hot": 0, "department": "Cloud Solutions", "business_unit": "Cloud Solutions", "t_update": 1677625475, "t_create": 1677621640, "ats_job_id": "oSlCmfwV", "display_job_id": "3471", "type": "ATS", "id_locale": "3471-en", "job_description": "Identify customer business requirements and match them to product features Build joint customer strategies with business development and marketing colleagues to encourage product adoption Provide live demonstrations of Bayer DFS cloud platform tools & capabilities to prospective customers Develop and propose solution architectures for customers that take full advantage of the Bayer DFS cloud platform Answer technical questions and help customers integrate the Bayer cloud solutions with their existing development tools and workflows Build relationships with key decision makers, visit customers on-site, and serve as a customer's primary technical point of contact Educate prospects on product implementation and usage Learn about customers' successes and challenges, share customer feedback within the Cloud Solutions and Bayer DFS product team, and advocate for customer interests Maintain awareness of internal Bayer DFS technical initiatives and the Agri-Food industry Deliver product demonstrations, sales presentations, and lead clients through proof of technology Train and serve as primary technical resource for third party partner companies (such as System Integrators) on Bayer DFS cloud solutions, tools and functionality Identify and assess customer opportunities with third party partners Act as intermediary between sales and other technical teams to best meet customer needs Communicate customer feedback and perspectives to appropriate teams to be considered in product strategy and roadmap Document technical considerations, collect existing articles, and contribute to internal knowledge bases as a resource for other teams, customers, and partners Provide first line technical support to customers in implementation of solutions that leverage the Bayer DFS cloud platform Perform lunch and learns, onsite developer hackathons, and other technical marketing activities Represent Bayer DFS Cloud Solutions team at technical trade shows and events Partner with Product Marketing to enable and support partners on all partner readiness for various campaigns, events and collateral Identify the need for new partner content and work with cross-functional teams to create those assets Keep internal and partner facing areas up-to-date with the most current information University degree (Master, PhD preferred) in IT or Technical field or business-related discipline or business relevant experience 5+ years of experience in a senior level customer-facing solution architect or sales engineering role working with enterprise or B2B accounts; customer-facing experience is a must Deep understanding of Microsoft Azure capabilities and technologies Ability to travel (about 25% of the time) Team-oriented and possess strong collaboration skills Passionate commitment to quality and success Excellent verbal and written communication skills Ability to quickly solve technical and business-related challenges Able to relate technical concepts to customers of all technical backgrounds Interest in and passion for the agri-food industry and use of technology to solve customer needs Comfortable working in a fast-paced, dynamic, team oriented environment Experience working in or with enterprise accounts in the agri-food marketspace Ability to work across different time zones Experience working with CRM software such as Salesforce Knowledge of the Software Development Lifecycle (SDLC) 10+ years of sales solutioning engineering experience, with at least 3 to 4 years working with enterprise level customers Strong experience working with and training 3rd party partners, such as System Integrators, to scale out technical enablement efforts Previous Software development, Engineering, and/or Technical Support experience Passionate about software, technology and business Ability to influence people Business level proficiency in Spanish or Portuguese language", "stars": 0.0, "medallionProgram": null, "location_flexibility": null}, {"id": 15412998, "name": "Staff Software Engineer", "location": "St. Louis,Missouri,United States", "locations": ["St. Louis,Missouri,United States"], "hot": 0, "department": "Engineering", "business_unit": "Engineering", "t_update": 1677634318, "t_create": 1677520405, "ats_job_id": "ozEzmfwS", "display_job_id": "3470", "type": "ATS", "id_locale": "3470-en", "job_description": "Staff Software Engineer Climate LLC seeks a Staff Software Engineer. This is a hybrid work-from-home position that requires the employee to be able to work in our Creve Coeur MO, office two (2) days per week. Will be responsible for collaborating with Engineers, Data Analysts, Product Managers, and User Experience experts to craft solutions for our customers. Will also: (i) provide guidance on solution architecture, partnering with all engineering teams involved; (ii) provide technical designs and assessment of solutions for implementing new features to satisfy customer needs; (iii) participate in code reviews and mentor junior developers; (iv) lead initiatives to accomplish organization objectives on technical excellence working across departments; (v) produce high quality code with an emphasis on software craftsmanship; and (vi) champion continuous improvement and ensure codebase is continuously deliverable and deployable. This is a hybrid work-from-home position that requires the employee to be able to work in our Creve Coeur office two (2) days per week. Must have a bachelor's degree (or foreign equivalent degree) in Computer Science, Information Technology, or a related field plus six (6) years of progressively responsible and post-baccalaureate experience in a related position. Experience must include four (4) years of experience with: (i) designing cloud-based applications; (ii) single page web application development using modern JavaScript frameworks like React), Vue and Angular; (iii) micro-service design and development; (iv) cloud-based continuous delivery and environment management - DevSecvOps, CI/CD practices and tools; (v) software development methodologies and best practices; (vi) application security practices and tools; (vii) processing and analyzing large data sets; and (viii) database development with tools such as MySQL, PostgreSQL, DynamoDB, and Redis. Experience can be concurrent. This is a hybrid work-from-home position that requires the employee to be able to work in our Creve Coeur office two (2) days per week. Apply at https://www.climate.com/careers, #3470 or Careers_climate_us@bayer.com with resume, salary requirements, and reference to Staff Software Engineer.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null}, {"id": 14735131, "name": "Senior Engineering Manager (B2B Platform)", "location": "Seattle,Washington,United States", "locations": ["Seattle,Washington,United States"], "hot": 0, "department": "Engineering", "business_unit": "Engineering", "t_update": 1679931879, "t_create": 1670603627, "ats_job_id": "oksPlfwG", "display_job_id": "3437", "type": "ATS", "id_locale": "3437-en", "job_description": "Lead, grow, and inspire a talented team of engineers focused on bringing high-value backend capabilities and APIs Collaborate with product, sales, and other engineering teams to manage requirements and dependencies Help your team meet their goals and strive to be their best Drive an efficient and effective Agile software development process to manage a deep backlog and launch iteratively developed solutions and APIs Bachelor's degree or above in computer science or a related field 5+ years of demonstrated ability to attract, grow and lead a team of backend engineers in a cloud environment 2 + years of mananging multiple engineering teams 4+ years of experience with Agile development methodologies and processes Previous experience as a backend/API Tech-lead/Architect Experience with Azure Cloud capabilities and solutions Experience with SAFe (Scaled Agile Framework) Experience working in a start-up environment with product owner responsibilities", "stars": 0.0, "medallionProgram": null, "location_flexibility": null}, {"id": 13430421, "name": "Lead Solutions Architect", "location": "San Francisco,California,United States", "locations": ["San Francisco,California,United States", "Seattle,Washington,United States", "Chicago,Illinois,United States", "St. Louis,Missouri,United States"], "hot": 0, "department": "Science", "business_unit": "Science", "t_update": 1676329607, "t_create": 1663366074, "ats_job_id": "oAD2kfwj", "display_job_id": "3353", "type": "ATS", "id_locale": "3353-en", "job_description": "Ownership and delivery of Science's future-state strategic and architectural vision, working to define, align, and contextualize key initiatives in relation to the broader organization Acting as a liaison between leadership and diverse teams to propel Science's strategic vision forward while maintaining alignment between stakeholders Working closely with Portfolio Ops to prioritize and plan delivery of proposed initiatives, collaborating to decompose stories, identify triage candidates where necessary, and review requirements with accountable/impacted teams to orchestrate successful delivery Responsible for upkeep, review, and operation of Research Data Engineering's work intake process Completing review and requirements gathering for candidate initiatives proposed by teams and identifying key risks and impacts Orchestrating with teams to identify up/downstream dependencies, align on project success metrics and create a delivery strategy/timeline Decomposition of candidate initiatives and capture of individual epics/stories/subtasks in Jira. Subsequent prioritization and assignment of stories to appropriate team(s) Facilitating weekly triage meetings to identify and strategize delivery of work items that require accelerated intervention Attending weekly meetings with teams and leaders across Research Data Engineering, Engineering, and Modeling to review progress of key initiatives, and act as a technical and strategic advisor where applicable Creating and updating one-pagers and architecture documents and diagrams as systems evolve and change with completion of work initiatives. Ensuring knowledge-shared artifacts are updated and easily accessible across teams Masters + 6 years of experience or Bachelors + 8 years of experience with an excellent background of software architecture design and strategy with a fluent understanding of unique challenges presented by deploying data science and machine learning assets to live production systems Proven experience facilitating strategic alignment between diverse teams to successfully deliver complex, cross-cutting initiatives to relevant internal and external stakeholders Strong understanding of Cloud Services (AWS, Azure, GCP), Data Warehouse and Data Lake Architectures with relevant comprehension of the ingestion of multiple types of data Advanced knowledge and experience working with MLOps and Data Science pipelines, Gitlab CI/CD and version control, and continuous orchestration and containerized deployment frameworks (Kubernetes, Docker) Possess excellent prioritization, contextualization, and interpersonal skills with a strategic reflective thinking mindset to understand the impacts, limitations, and dependencies of our data Experience with Python, R, and JVM languages (Java, Scala) with Data Science and Machine Learning libraries: Scikit-Learn, TensorFlow, and Py Torch Experience working with Geospatial Data, Libraries, and Technology for dependencies. Technical depth and experience with modeling may be beneficial to help facilitate and coalesce business and technical requirements into a specific plan of action to the various Science and Engineering teams that are accountable to delivering and implementing functionality Strong experience in data science lifecycle management with an appreciation from the initial data artifact into a completed model Strong experience with Code Review and Optimization to work with automation and tooling teams Experience with Domino Labs, AWS Sagemaker, JupyterLabs, and Vertex AI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null}], "debug": {}, "count": 8, "location_user": "any", "location_used": "", "locationInsights": null, "showWizard": 1, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 3, "mocTitle": null, "query": {"query": "", "location": "", "department": [], "skill": [], "seniority": [], "pid": "", "titles": [], "departments": []}, "userTitles": [], "isThinProfile": false, "veteranProgramDetails": [], "enableTargetedResume": 0, "facets": {"seniority": {"Mid/Senior": 6, "Entry": 2}, "titles": {"Senior Software Engineer": 5, "Lead Software Engineer": 4, "Principal Software Engineer": 4, "Senior Software Developer": 4, "Software Engineer": 4, "Data Scientist": 3, "Machine Learning Engineer": 3, "Software Developer": 3, "Technical Lead": 3, "Engineering Manager": 2, "Principal Engineer": 2, "Cloud Architect": 1, "Director Of Engineering": 1, "Engineering Lead": 1, "Lead Engineer": 1, "Research Associate": 1, "Research Scientist": 1, "Scientist": 1, "Senior Data Scientist": 1, "Senior Engineer": 1, "Senior Program Manager": 1, "Senior Research Scientist": 1, "Senior Scientist": 1, "Senior Solution Architect": 1, "Senior Solutions Architect": 1, "Senior Technical Consultant": 1, "Senior Technology Consultant": 1, "Software Development Manager": 1, "Software Engineering Manager": 1, "Solution Architect": 1, "Staff Software Engineer": 1, "Tech Lead": 1}, "departments": {"Science": 4, "Engineering": 2, "Administrative": 1, "Cloud Solutions": 1}, "locations": {"Seattle,Washington,United States": 7, "San Francisco,California,United States": 6, "St. Louis,Missouri,United States": 6, "Chicago,Illinois,United States": 5}}, "isSubQuery": false, "showBusinessUnitInPositionSidebar": false, "hideDepartment": null, "iframeImplementation": null, "pcsTextConfiguration": {}, "facetNoTitlecase": null, "enableMapClustering": false, "candidateLogin": {}, "isHomePageLoad": true, "candidateBuildProfile": {}, "chatbot": false, "enabledPersonalizedFeatures": {"recommendationFeedback": false, "tldr": false, "personalizationPreferences": false}, "installed_app_data": [], "enhancementsEnabled": false, "disableAutoScrollOnPositionSelect": false, "locationDistanceKmDefault": 100, "showLanguageDropdown": false, "languages": [{"value": "en", "title": "English"}, {"value": "it", "title": "Italiano"}, {"value": "es", "title": "Espa\u00f1ol"}, {"value": "fr", "title": "Fran\u00e7ais"}, {"value": "pt", "title": "Portugu\u00eas"}, {"value": "nb", "title": "Norsk"}, {"value": "de", "title": "Deutsch"}, {"value": "ja", "title": "\u65e5\u672c\u8a9e"}, {"value": "ms", "title": "Bahasa melayu"}, {"value": "zh-CN", "title": "\u4e2d\u6587 (\u7b80\u4f53)"}, {"value": "zh-TW", "title": "\u4e2d\u6587 (\u7e41\u9ad4)"}, {"value": "ko", "title": "\ud55c\uad6d\uc5b4"}, {"value": "th", "title": "\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22"}, {"value": "nl", "title": "Nederlands"}, {"value": "pl", "title": "Polski"}, {"value": "uk", "title": "Y\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430"}, {"value": "hr", "title": "Hrvatski"}, {"value": "el", "title": "\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac"}, {"value": "hu", "title": "Magyar"}, {"value": "cs", "title": "\u010de\u0161tina"}, {"value": "tr", "title": "T\u00fcrk\u00e7e"}, {"value": "ru", "title": "P\u0443\u0441\u0441\u043a\u0438\u0439"}, {"value": "ht", "title": "Haitian"}, {"value": "he", "title": "\u05e2\u05d1\u05e8\u05d9\u05ea"}, {"value": "pt-BR", "title": "Brazilian Portugu\u00eas"}, {"value": "da", "title": "Dansk"}, {"value": "fi", "title": "Suomi"}, {"value": "sv", "title": "Svenska"}, {"value": "fr-CA", "title": "Fran\u00e7ais (Canada)"}, {"value": "pt-PT", "title": "portugu\u00eas (Portugal)"}], "displayLanguage": "en", "hamburgerMenuEnabled": false, "pcsRedesignedNuxEnabled": false, "isSiteDown": false, "siteDownBannerConfig": {"message": "We have recently learned of individuals fraudulently posing as Dexcom executives or recruiters. They are contacting potential candidates via email or online job search sites as part of a job scam. Please do not accept any offers or share any of your personal data or banking information with them. In order to identify if there is an open position at Dexcom, you should navigate directly to https://careers.dexcom.com to search for the role and confirm the opportunity. Also, communications from Dexcom employees will only come from the authorized @dexcom.com email address. Thank you and we apologize for any inconvenience this may have caused."}, "pcsOctupleMigration0Enabled": true, "sortByConfig": null, "userActivityTimeout": 86400000, "userActivityTimeoutEnabled": 0, "searchBoxConfig": {}, "pcsAccessibilityHomeEnabled": true, "pcsAccessibilityApplyFormEnabled": true, "disableScrollLoadPositionSidebar": false, "allowedFileTypes": {}, "isLoggedInPcsEnabled": false}
.banner-item .banner-item-title{font-size:11pt!important;font-weight:bold;top:6px;right:65px;}html *:not(h1):not(.fa):not(.far):not(.fas):not(.profile-image-container)::not(.fal):not(.fab):not(.footable):not(.fooicon):not(.footable-sort-indicator){font-family: 'Helvetica', 'Arial', sans-serif !important;font-size:11pt!important}.btn-primary{background-color: #F7A700 !important;border-color: #F7A700 !important}.btn-primary:hover{background-color: #F7A700 !important;border-color: #000 !important;color: #000 !important}.go-button{border-color: #525150!important;color: #525150!important;font-weight:bold}.btn-secondary{border-color: #F7A700!important;color: #F7A700!important}.btn-secondary:hover{border-color: #F7A700!important;color: #F7A700!important}.position-apply-button,.add-to-job-cart-button{background:#F7A700!important;border-color: #F7A700 !important;color: rgb(31, 114, 229) !important}.position-apply-button, .add-to-job-cart-button:hover{color: #ffffff !important}.people-card-matches{color: rgb(31, 114, 229) !important}.perk-icon{color: rgb(31, 114, 229) !important}.search-results-main-container .position-cards-container .card-selected {border-left-color:#ff5b00!important;}.personalization-bar{background-color: #525150 !important; color: #FFFFFF!important;}.position-card .position-title{color: #F7A700 !important}.all-positions-header h1{font-size: 20pt !important; color: #525150 !important;font-weight:bold;}.perk-icon{color: #F7A700 !important}.jumbotron{font-size: 200px !important}.advanced-options-button{color: #525150 !important;font-weight:bold}.jumbotron h1{font-size:28pt!important;font-weight:bold!important;color: #000!important;}.position-sub-title, .custom-content-title {font-size:18pt!important;font-weight:normal!important;color:#525150!important;}.banner-item img{width: 136px;}.banner-item {right:-43px;}.join-tn-link { font-size: 18px !important; font-weight: bold; color: #000 !important} .apply .navbar img { height: 45px !important;color: #2C8CC9 !important}.hero-image{}.d-inline-block align-top{height: 50px!important;.btn-primary:hover { background-color: #F7A700!important; border-color: #F7A700!important; color: #F7A700!important} .personalization-bar {color: #F7A700!important}.privacy-agreement {width: 470px !important;min-height: 590px !important;border-radius: 30px !important; padding: 15px 15px 15px 15px; !important; font-size:9pt !important}. privacy-agreement .btn-sm {color: #F7A700!important;border-color: #F7A700 !important}.btn.btn-secondary.browse-button { background-color: #F7A700!important}#career-workflow .browse-button {color: #F7A700 !important;background-color:#F7A700!important;border-color:#F7A700!important}#career-workflow .dropzone {border-radius: 7px !important;height: 154px !important;border-color: #F7A700 !important}.profile-dropdown.dropdown-title { color: #F7A700 !important}