<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 detail-oriented Plant Controller to join a dynamic manufacturing team in Coldwater, Michigan. This role requires someone with a strong background in cost accounting and financial analysis, who thrives in a hands-on environment and enjoys collaborating with production teams. The successful candidate will play a key role in managing financial operations and ensuring accuracy in reporting and budgeting.<br><br>Responsibilities:<br>• Oversee product costing and perform thorough cost analyses to support financial decision-making.<br>• Manage physical inventory processes, including accounting and reconciling raw materials, finished goods, and work-in-progress.<br>• Conduct audits and evaluate internal controls to ensure compliance and assist with audits across other locations as needed.<br>• Analyze and report variances, investigating anomalies in purchase price, efficiency, usage, and utilization.<br>• Participate in budgeting and forecasting activities to support both local and divisional financial planning.<br>• Maintain accuracy in the general ledger by preparing monthly account reconciliations and resolving discrepancies promptly.
We are looking for a detail-oriented Data Entry Clerk to join a non-profit organization in Clarkston, Michigan. This contract position requires meticulous attention to accuracy and the ability to efficiently update and manage large volumes of data. The ideal candidate will bring strong organizational skills and a careful approach to handling sensitive information.<br><br>Responsibilities:<br>• Update system records with current demographic and guardianship information as needed.<br>• Upload assessment documents and ensure proper categorization within the system.<br>• Input specific document dates and score data directly into the database.<br>• Perform thorough updates for approximately 500 records requiring complete revisions.<br>• Make intermittent adjustments to around 800 cases as new information becomes available.<br>• Ensure all data entry tasks are completed with high accuracy and adherence to deadlines.<br>• Maintain confidentiality while handling sensitive information.<br>• Collaborate with team members to address any discrepancies or missing data.<br>• Utilize computer systems efficiently to manage and organize large datasets.