This individual will be responsible for strategy and execution of our product development lifecycle, creating detailed technical requirements, and completing functional specifications for our sites that drive direct conversion and lead generation for our B2B sales organization. This includes: understanding business priorities, writing requirements, building wireframes, collaborating with marketing (creative, ecom, paid media), interfacing with engineering, managing timelines and owning the product roadmap. Responsibilities: Define product specifications based on user research to determine goals and requirements Partner cross-functionally with internal departments to define and deliver technology solutions (marketing, creative, ecommerce, sales, engineering, leadership) Define and drive product roadmaps through operational processes Agile project management of projects/releases Gather and cultivate key metrics to promote data-driven product development Write functional specifications, including requirements and detailed use cases for new product features Explain designs and constraints to stakeholders Work closely with development teams during detailed design and implementation Analyze and ensure performance requirements are met Review test plans with our software quality assurance team Prioritize and communicate cross-organizational projects in a clear and effective way Qualifications: A minimum of 3 years of experience as a product manager, prior experience with e-commerce operations preferred Bachelors Degree or higher preferred Experience in writing functional specifications Experience working in small, highly focused, data-driven teams Must be able to define and manage a broad scope of complex processes and/or product issues using independent judgment Excellent interpersonal communication and management skills Experience working with ERPs, EMS, and/or e-commerce (Demandware/NetSuite) platforms Ability to navigate complex problems that range across the organization and create solutions for them in a fast paced, high growth, changing environment

GCP Engineer with strong BigQuery Experience and Teradata knowledge. Key Responsibilities include: Defining re-usable processes for large-scale implementations within the Data Warehouse. Working with other Engineers to “automate all things” for the cloud platform. Working with SME’s across Commercial and R&D organizations to understand their data and integrate into an Enterprise Data Model

You will work collaboratively with interdisciplinary scientists, IT, and engineering professionals across the organization to solve critical problems and answer important questions that drive key decisions for our business. You will foster innovative ideas to produce sophisticated, intelligent optimization solutions and predictive models. Works on a team as an individual contributor collaborating with other Data Scientist and subject matter experts with business and crop science experts. Major Tasks & Responsibilities Provide technical contributions in collaborative environment to accelerate our efforts on building an analytics-driven product pipeline. Develop and deploy new solutions based on predictive and prescriptive modeling utilizing a wide range of field observations and environmental data (weather, soil, remote imagery), to improve field operations and enable better decision making. Build cross-functional relationships to collaboratively partner with the business and effectively network within our valued and highly collaborative Data Science Community. Use advanced mathematical/ statistical models, machine learning algorithms, and strong business acumen to deliver insights, recommendations, and solutions. Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators. Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to create both strategic and operational changes in business Qualifications and skills. Masters degree with 2+ years of experience or PhD. Educational preparation or applied experience in at least one of the following areas: Machine Learning, Computer Science, Mathematics, Statistics or other closely related quantitative discipline. Candidates with demonstrated experience in applying machine learning to environmental modeling, crop modeling, epidemiology, or other modeling and interpretation of found, open systems data preferred (but not required). Strong programming experience in Python, R, or another high-level programming language, ideally with working with machine learning and statistical modules/ packages. Demonstrated experience in reinforcement learning a plus. Strong computer development skills, with demonstrated experience in collaborative coding and version control (GIT) and ability to write clear, well commented, and organized code. Experience in Agile project management and/ or willingness to learn Experience in building models, including data extraction and cleaning, feature selection and engineering, and model selection/ validation Strong sense of ownership to deliver valuable analysis through acquisition and application of domain knowledge; motivated to develop and work from a strong understanding of our business and the science required to execute it. Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to extended team and small groups of key stakeholders. Working on new machine learning methods (e.g. Bayesian Methods, GCN, Spherical CNNs, GAN, Unsupervised Learning, Distributed Learning and others) and methods for gaining insights from these models (shapely, partial dependence, etc.) Design and implementation of artificial neural networks Working closely with product management to define product strategy and roadmap Creation of innovative products supported by prototypes, scientific publications and patent applications

A Performance Analyst manipulates data using powerful analytical software and applications to prepare reports and evaluate outcomes. Thereafter they prepare reports or give presentations to people, so both communication and the ability to get along with people are important skills for this job. Examine performance dashboards daily and create Jira tickets for performance degradations Examine Google Lighthouse reports and address Google Core Web vitals call outs with development teams Partner with architecture team on production issues that have a performance impact on all brands Understand the waterfall and investigate opportunities for faster performance using tools like a Real User Monitoring tool (Catchpoint/Datadog/Log Rocket/Uptrends) Partner with architecture team on building/enhancing our existing performance dashboards Build/automate reports that demonstrate performance improvements and areas for future enhancements. Investigate revenue related opportunities for performance and strategize with brand teams on implementation. Should have deep understanding of web technologies like (CSS, SASS, JavaScript, CDNs, Strong knowledge of Core Web Vitals and Lighthouse performance metrics Ability to pull data from Google Analytics and understand trends and patterns Experience using performance tools such as the Real User Monitoring tool (Catchpoint/Datadog/Log Rocket/Uptrends) Ability to execute Lighthouse as a NodeJS command

Salesforce Commerce Cloud Engineer with 3+ years of experience managing Merchant Tools and Administration in business manager. Experience in ecommerce Catalog management , job configurations and data replications in Business Manager. Experience in designing and tuning for page performance, and knowledge of secure development practices. Able to troubleshoot site issues, use various tools commercial or open-source to trace analyze and resolve issues. Working knowledge of version control systems and Cloud Platforms (Git, Mercurial, Git Hub, Bit Bucket, Gulp, Jenkins). Knowledge and experience with Salesforce suite of products across all SDLC phases. Knowledge on Agile methodology and required tools like Jira, confluence etc. Needs to have SQL and/or relation DB experience. Design, administer and upkeep. Needs to be able to work with large data sets and be able to do SQL to transform and manipulate data. Experience to do ETL input and Export of data files to help facilitate ingestion into Commerce and other platforms. Knowledgeable of Salesforce.com architecture and API are a must. Strong background, understanding of Salesforce Commerce Cloud platform capabilities, architecture, design and development. Able to do hands-on design and development of feature capabilities, including setup, configurations e.g. in Business Manager. Responsibilities: Support team with Business Manager configuration and administration. Support system integrations and related processes.