Role Description We are seeking a highly analytical and execution-focused AI Researcher & Implementation Coordinator to identify, evaluate, and deploy artificial intelligence solutions across our law firm operations. This role will be responsible for driving innovation and efficiency across key functional areas including: - Marketing - Client intake - Document collection - Case management - Litigation support - Trial preparation - Finance/accounting The ideal candidate combines technical fluency, operational thinking, and project management discipline, with a strong ability to translate AI capabilities into practical, revenue-generating legal workflows. Qualifications - Proven experience working with AI tools, automation platforms, or emerging technologies in a professional setting - Strong analytical and research skills with the ability to evaluate tools based on ROI, scalability, and business impact - Experience in process improvement, workflow design, or systems implementation - Ability to manage end-to-end implementation projects, from research to deployment - Familiarity with CRM systems, case management tools, or business software integrations - Strong organizational and project coordination skills, with the ability to work cross-functionally across teams - Excellent written and verbal communication skills, including the ability to translate technical concepts into actionable business insights - Comfortable working in a fast-paced, execution-focused environment with minimal supervision - Data-driven mindset with experience in tracking KPIs, building reports, or analyzing performance metrics Requirements - Experience working in a law firm, legal operations, or legal tech environment - Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms - Background in marketing automation, lead generation systems, or paid ads optimization - Experience with chatbots, call automation, or client intake systems - Familiarity with document automation, legal research tools, or eDiscovery platforms - Basic understanding of APIs, integrations, or no-code/low-code tools - Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio) - Knowledge of data privacy, compliance, and security considerations in AI implementation - Prior experience in a consulting, operations, or innovation-focused role System and Work Setup Requirements - A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues. - Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage - Headset/earphone with noise cancellation and webcam at 720p or higher resolution - A designated, quiet, and well-organized workspace free from distractions to facilitate focused work - Permanent remote work setup Benefits - Competitive starting rate paid in USD - Internet Allowance - HMO insurance (PH) - Paid US holidays - Paid Vacation and Sick Leaves

Role Description Resource Innovations is seeking a Software Implementation Specialist to join our growing team remotely. We are seeking a highly skilled and motivated Software Implementation Specialist with strong energy efficiency knowledge and experience to support the continued growth of our Resource Innovations software professional services team. As Software Implementation Specialist you will design and implement technical solutions for utilities and energy sectors, focusing on Demand Side Management, Transportation Electrification, and clean energy technologies. Analyze business needs to tailor Resource Innovations' SaaS-based solutions, optimize workflows, and enhance system efficiency. Provide expert consulting on product configuration, implementation, and ongoing support while developing technical documentation, conducting gap analyses, and ensuring seamless software integration. This work enhances operational efficiency, scalability, and regulatory compliance for utilities, improving Resource Innovations' customer programs delivery. By streamlining system implementation and reducing manual inefficiencies through automation, it drives cost savings, performance improvements, and data-driven decision-making. Duties and Responsibilities - Configure and implement enterprise SaaS solutions supporting EE, transportation electrification, and other clean energy programs. - Partner with clients, Software Implementation Leads, and cross-functional teams to gather business requirements, support solution design, and deliver successful software implementations. - Configure application features, workflows, business rules, user interfaces, and client-specific functionality using low-code/no-code and enterprise SaaS platforms, SQL, and JavaScript. - Develop functional specifications, process flows, configuration documentation, and other implementation deliverables. - Support system integrations, REST APIs, ETL/data mapping, data migration, user authentication, and reporting requirements. - Assist with system configuration, testing, user acceptance testing (UAT), deployments, production releases, and post-launch support. - Troubleshoot application, configuration, integration, and data issues while working closely with Product, Engineering, and Delivery teams. - Identify opportunities to improve business processes, system usability, and implementation efficiency. - Build expertise in the Resource Innovations' SaaS platforms and implementation methodologies while providing high-quality client support. - Perform other duties as assigned. Qualifications - 3–5 years of experience implementing, configuring, or supporting enterprise SaaS, low-code/no-code, CRM, ERP, or workflow automation platforms. - Strong analytical, problem-solving, and communication skills, with experience working directly with clients and cross-functional teams. - Interest in sustainability and a passion for delivering technology solutions that create meaningful business impact. Requirements - Bachelor's degree in Computer Science, Information Systems, Information Technology, Business Information Systems, Engineering, or a related field, or an equivalent combination of education and experience. - Experience configuring enterprise SaaS applications using low-code/no-code platforms, SQL, JavaScript, and business process automation. - Experience with system integrations, REST APIs, ETL/data mapping, and user acceptance testing (UAT). - Experience in the utility, clean energy, or regulated industries is preferred but not required. Benefits - Competitive salaries based on a candidate's skills, experience, and qualifications for the position. - Compensation range for the base salary for this position is $70,000-$111,000 USD. - Eligibility for a discretionary annual bonus. - Comprehensive benefits package designed to promote health, financial security, and work-life balance. - Three weeks of paid vacation annually. - Paid holidays. - 401(k) retirement plan with employer match. - Medical, dental, and vision coverage. - Parental leave. - Employee assistance program. - Commuter benefits and additional supplemental offerings.

• Guide customers through their implementation journey with Routeware solutions • Focus on Routeware Elements software, working with waste management and street maintenance data • Gather and analyze data, build and validate models • Interact with customers to ensure quality of service and deliver operational routes with documentation • Cross-train with all products to effectively implement entire suite of offerings • Consult with clients on solutions to accommodate business needs • Complete system configurations • Interpret data and analyze results using statistical techniques

• Identify, design, and deploy AI-driven solutions to optimize internal workflows. • Serve as internal AI champion evaluating operations and building tools. • Act as the "director" of development guiding AI generated code. • Rigorously test AI-generated workflows to ensure stability and data accuracy. • Establish feedback loops to continuously improve deployed tools based on user performance.