Jobs at Applied Systems

Manages a defined territory and sells software platforms to existing insurance agency customers through outbound and inbound engagement. Responsibilities include prospecting, discovery, solution selling, product demonstrations, negotiation, closing, forecasting, territory planning, quarterly business reviews, CRM maintenance, and internal sales process management. The role requires achieving quota and territory growth targets while consulting customers on business needs and platform compatibility.

Manage assigned customer accounts, driving satisfaction, product adoption, retention, account growth, and advocacy. Responsibilities include resolving customer issues, developing account and strategic success plans, leading quarterly business reviews, analyzing customer health and usage metrics, communicating product feedback, and collaborating with internal teams. The role requires strong communication, presentation, organization, empathy, and creative problem-solving skills, with travel up to 15%.

Lead company-wide commission calculations, analytics, financial modeling, forecasting, budgeting, and accruals. Improve commission processes, logic, and reporting while partnering cross-functionally to implement compensation plans, educate Sales, identify trends, optimize performance, and support strategic decisions.

Develop standardized reporting, dashboards, KPIs, and actionable business insights using data from Salesforce, billing, product usage, login, and marketing systems. Automate recurring reporting, improve data consistency, document reporting structures, and connect insights to commercial actions such as retention cases. Partner with finance, IT, FP&A, and go-to-market teams to gather requirements, test solutions, and deliver scalable reporting that improves customer health, adoption, retention, and business results.

Lead product marketing for Applied's carrier-facing portfolio: set strategy, positioning, brand architecture, launches, and GTM. Build and lead a PMM team, drive market/competitive intelligence, win/loss research, partner cross-functionally with Product, Sales, and Marketing, and report PMM-influenced metrics while championing AI-enabled tooling.

Lead complex, customer-facing software implementation projects end-to-end. Act as trusted advisor, manage cross-functional teams, timelines, budgets, risks, and escalations. Drive executive communication, leverage AI-enabled tools and data insights to improve delivery efficiency and customer outcomes, and partner with Consulting, Product, Development, Support, Sales, and Customer Success to ensure predictable, high-quality project results.

Serve as the technical lead for the Service Desk, resolving complex L2 incidents, mentoring junior technicians, driving problem management and process improvements, managing the knowledge base, analyzing ticket trends and reporting, coordinating with L2/L3 teams, performing on-call rotations, and providing dedicated onsite executive IT support and vendor coordination for the Chicago office.

Lead product marketing for the agency segment, owning positioning, GTM, launches, competitive intelligence, and performance metrics. Manage and grow a PMM team, partner with Product, Sales, and Field Marketing to drive adoption and revenue, and champion AI-forward tooling and data-driven GTM across the Applied Epic and EZLynx portfolio.

Support day-to-day purchasing and accounts payable activities: process purchase requisitions and POs, communicate with vendors and internal teams, maintain accurate purchasing and fixed-asset records, assist with invoices and inquiries, prioritize multiple requests, ensure documentation accuracy and compliance, and help improve purchasing procedures.

Partner with CX and cross-functional teams to build and maintain reporting infrastructure and dashboards, analyze support and operational metrics (CSAT, FCR, TTR, case trends), identify improvement opportunities, project-manage analytical initiatives, inform capacity and staffing planning, present actionable insights to leadership, and document reporting changes for smooth rollouts.

Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.

Lead and grow a global data engineering team while establishing foundational data platforms and engineering standards. Design and oversee GCP-based pipelines, medallion data models, DataOps, monitoring, SLAs, CI/CD, governance, and data quality practices. Drive AI adoption across engineering workflows and build reliable, AI-ready data. Partner with business and technology stakeholders to prioritize roadmaps, deliver scalable solutions, and support data democratization.

Leads and develops a Solution Consulting team supporting the Applied Epic portfolio. Responsibilities include coaching consultants, overseeing product demonstrations, partnering with Sales on pipeline and account strategy, supporting strategic deals, coordinating executive client engagements, aligning with Product and Marketing, managing implementation handoffs, and maintaining expertise in AI capabilities and industry trends. The role requires up to 50% nationwide travel.

Leads the HR technology strategy, roadmap, and HRIS team. Oversees UKG Pro, workforce management, benefits administration, system integrations, HR data infrastructure, security, governance, and reporting. Partners with IT, Data, Finance, Recruiting, Compensation, and People Operations on implementations, acquisitions, and technology initiatives. Establishes scalable processes and documentation while developing HRIS professionals and external partners.

Lead the architecture, development, and scaling of data pipelines and infrastructure for a customer-facing Data Lake platform. Build ETL and ingestion systems using GCP, Debezium, Pub/Sub, Dataflow, BigQuery, Python, Golang, and SQL. Establish engineering standards, deliver strategic projects, mentor engineers, influence cross-functional technical decisions, optimize data services, and shape the platform roadmap.

Leads IT product strategy and delivery using data-driven analysis and business acumen. Oversees complex project lifecycles, aligns technical teams with business stakeholders, manages budgets and timelines, and ensures quality delivery. Coaches and mentors Product Managers, prioritizes initiatives, delegates work, and drives cross-functional alignment across product development and implementation.

Lead UX design strategy for complex, high-volume B2B insurance workflows. Responsibilities include user research, information architecture, interaction and visual design, design systems, facilitation, storytelling, implementation planning, stakeholder alignment, and mentoring. The role shapes product vision across multiple teams and ensures scalable, accessible, consistent user experiences with measurable business and user impact.

Lead product vision, strategy, adoption, roadmap prioritization, user research, metrics, and cross-functional execution for an AI-powered B2B insurance submissions platform. Partner across design, engineering, marketing, customer experience, and operations; manage integrations with adjacent products; resolve dependencies; communicate strategy and outcomes to senior leadership; and mentor other product managers.

Lead full-cycle recruiting for Product teams, partnering with Product leaders on workforce planning, sourcing, talent assessment, hiring strategy, and candidate experience. Build pipelines for Product Management, Operations, Design, and Leadership roles; provide market and compensation insights; use recruiting metrics to improve hiring outcomes; maintain ATS data integrity; implement scalable processes; and mentor recruiting teammates.

Define and govern enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, and AI use cases. Establish standards for data quality, lineage, access, cataloging, governance, observability, and SLAs. Architect AI-enabled workflows, resolve complex architecture issues, influence roadmaps, and mentor engineers through hands-on technical leadership. The role requires 15+ years of software, data engineering, or architecture experience and expertise in large-scale data platforms and modeling.