WorkWave

Data Engineer

• Build and scale data systems that drive our “decision intelligence” products.
• Work at the intersection of data engineering, product development, and AI/ML enablement—designing systems that empower customer-facing data products.
• Collaborate across teams to ensure data is a true product enabler.

Senior AI/Data Engineer

Analytics Engineer

• Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes
• Design and manage data warehouses to support advanced analytics, focusing on creating 'Gold Standard' data models
• Maintain comprehensive documentation of all data engineering processes
• Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows
• Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues

Senior Data Analytics Engineer

Data Analyst

• Own the product vision and strategic roadmap for our external, customer-facing AI/ML models, data products, and analytics features.
• Engage directly with strategic customers and design partners to understand their needs, validate roadmaps, and co-develop new features.
• Define, measure, and communicate product success using metrics that correlate with customer value and SaaS business metrics (e.g., adoption, retention, ARR expansion).
• Partner with UX, Data Science, and Sales Engineering to create impactful data visualizations and product demos that communicate clear value to customers.
• Define clear, testable requirements (epics and user stories) based on customer feedback, market analysis, and strategic priorities.
• Write precise, detailed specifications for complex data processes, transformation logic, and aggregation rules.
• Partner with Product Marketing, Sales, and Customer Success to develop launch plans, sales collateral, and communication plans for new features.
• Use your analytical skills to conduct product-related data analysis, validate data assets, and prove/disprove hypotheses.
• Act as the primary translator between customer requirements and data engineering, using your technical fluency to assess the viability of new ideas.
• Work closely with data scientists to define requirements for AI/ML-driven features, ensuring the underlying data is structured for success.

Product Manager – AI, Data Analytics

Solutions Engineer

• Develop and maintain strong relationships with prospects and key customer accounts to support deal closure.
• Serve as the Wavelytics Product & Sales expert, supporting Account Managers by skillfully addressing technical and product-related questions throughout the sales cycle.
• Understand and articulate our competitive advantages of Wavelytics and AI, effectively differentiating our solutions to buyers.
• Speak to data protection and AI best practices and security considerations.
• Collaborate with product, engineering and sales teams to refine messaging around new features and maximize their impact in the market.
• Develop and maintain sales playbooks to align with product enhancements.
• Cultivate customer relationships to drive testimonials and case studies that highlight product success.
• At times this SE will be required to lead a sales pursuit as well at times be required to support sales pursuits

Account Executive

• Focus on small and growing Lawn service businesses
• Conduct online demos and present solutions
• Manage the sales cycle from lead generation to closing
• Master the sales process and conduct discovery
• Leverage tools like Salesforce and SalesLoft to manage activities

Account Executive, SMB Sales

Human Resources

• Collaborate with business leaders to develop and execute HR strategies
• Act as a liaison between management and the Employee Relations team
• Work with the Talent team to address staffing needs and develop workforce plans
• Partner with the Professional Development team to manage succession planning
• Lead and support organizational change initiatives
• Proactively assess HR-related needs and develop integrated solutions
• Ensure adherence to labor laws and company policies
• Use HR metrics and analytics to guide decision-making
• Promote employee engagement and a positive organizational culture
• Collaborate on salary benchmarking, job evaluations, and pay reviews

Senior AI/Data Engineer

Senior Data Analytics Engineer

Product Manager – AI, Data Analytics

Solutions Engineer

Account Executive, SMB Sales

Human Resources Business Partner – HRBP