Jobs at Applied Systems

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.

Administer hybrid Windows Server infrastructure across colocation, on-premises, Azure, and GCP environments. Manage virtual machines, cloud resources, patching, upgrades, backups, monitoring, alerts, incident response, vulnerability remediation, and root cause analysis. Develop automation using PowerShell, Python, Ansible, and infrastructure-as-code tools for provisioning, remediation, and self-healing workflows. Maintain documentation and runbooks while collaborating with engineering, IT support, security, and operations teams.

Lead North America agency adoption and engagement for Applied's commercial collaboration portfolio. Set strategy, build scalable operating models and playbooks, align cross-functional teams, and personally lead executive agency engagements and large migrations to drive day-to-day usage and bound premium. Combine human-led and digital adoption motions and reinforce network effects between agencies and carriers.

As a Business Development Associate, you'll manage inbound leads, connect clients with solutions, and develop relationships while advancing in your career.

Lead product analytics for a B2B SaaS product: define metrics and measurement frameworks, analyze user behavior and product performance, build self-service dashboards, partner cross-functionally to link usage to business outcomes, and translate data into strategic recommendations for product roadmap and GTM decisions.

Lead and build a product analytics function: define KPI framework, instrumentation, and self-serve analytics using Pendo and BI tools. Partner cross-functionally to measure product performance, surface insights, influence roadmap and embed AI-powered analytics into product lifecycle.

Secure LLMs, generative AI systems, ML infrastructure, training pipelines, and AI applications. Responsibilities include threat modeling, architecture reviews, security controls, hardening, vulnerability remediation, data privacy, incident response runbooks, vendor reviews, governance, policy development, and AI security training. The role also supports proof-of-concept security solutions and monitors emerging AI threats.

As a Software Development Engineer in Test, you'll create and conduct automated tests, resolve technical issues, and collaborate with development teams to ensure software quality.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

Build and deploy production micro-apps and LLM-powered agents on a governed GCP platform. Integrate AI with systems (Salesforce, Slack, NetSuite, SQL), harden apps with auth, secrets, CI/CD, logging and monitoring, automate maintenance, and implement evaluation and observability for model quality and drift.

Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.

Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.

Lead strategy and delivery of AI-powered, agentic product features for a SaaS insurance platform. Define roadmaps, KPIs, ROI, and success criteria; collaborate with engineering and data science to prototype, test, and launch; drive adoption, mentor junior PMs, and align cross-functional teams from discovery through GTM.

Lead portfolio strategy and operating layer for Product and Engineering: build prioritization frameworks, connect roadmaps to financial goals, define reporting/metrics for E-Team and Board, and drive cross-functional initiatives and decision-making.