<p><strong>Overview</strong></p><p>The Front-End Developer is responsible for building engaging, responsive, and user‑friendly web interfaces. This role works closely with designers, product managers, and backend engineers to translate UI/UX designs into high‑quality code. The ideal candidate is highly proficient in modern front‑end frameworks, follows best practices, and is passionate about delivering seamless experiences across devices and platforms.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop, test, and maintain responsive web interfaces using HTML, CSS, and JavaScript.</li><li>Implement front‑end features using modern frameworks such as React, Angular, or Vue (based on company stack).</li><li>Collaborate with UI/UX designers to translate prototypes and wireframes into functional digital experiences.</li><li>Optimize applications for performance, scalability, accessibility, and cross‑browser compatibility.</li><li>Create reusable components, patterns, and front‑end architecture that support scalability.</li><li>Troubleshoot and debug UI issues and improve user experience.</li><li>Integrate front‑end components with backend APIs and services.</li><li>Maintain version control and follow established code review processes (Git, GitHub, GitLab, Bitbucket).</li><li>Stay up to date on best practices, new technologies, and modern web standards.</li><li>Partner with product and engineering teams to ensure technical feasibility and align on project requirements.</li></ul><p><br></p>
<p><strong>Overview</strong></p><p>The Marketing Automation Manager is responsible for designing, building, and optimizing automated marketing programs that drive customer engagement, lead generation, conversion, and retention. This role oversees the end‑to‑end execution of automated campaigns, manages the marketing tech stack, partners with cross‑functional teams, and ensures that all programs are executed with precision, alignment, and measurable ROI.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Own the strategy, development, and execution of multi‑channel marketing automation campaigns (email, SMS, in‑app messaging, nurture flows, lead scoring, etc.).</li><li>Build and manage workflows, segmentation strategies, and triggered lifecycle campaigns using tools such as HubSpot, Marketo, Pardot, Eloqua, Klaviyo, or similar platforms.</li><li>Partner with marketing, sales, and product teams to translate business goals into automated programs that improve funnel performance and pipeline velocity.</li><li>Manage and continuously optimize lead scoring models, routing logic, and database hygiene initiatives.</li><li>Oversee A/B testing strategies and performance analysis to improve open rates, CTR, conversions, and overall customer engagement.</li><li>Ensure compliance with email and data regulations (CAN‑SPAM, GDPR, CASL, CCPA).</li><li>Monitor, report, and forecast performance metrics (MQLs, conversion rates, attribution, lifecycle stage movement).</li><li>Serve as the internal SME on marketing automation tools and best practices.</li><li>Collaborate with RevOps/SalesOps to align automation programs with CRM workflows and data governance.</li><li>Maintain a clean, scalable, and organized marketing automation infrastructure.</li></ul><p><br></p>
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals.<br><br>Responsibilities:<br>• Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers.<br>• Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures.<br>• Ensure data security and access through role-based controls and best practices for data sharing.<br>• Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions.<br>• Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets.<br>• Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies.<br>• Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations.<br>• Implement automated workflows and CI/CD processes for seamless deployment of data solutions.<br>• Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation.<br>• Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.