Jobs at Applied Systems

Drive new-logo growth by prospecting, cold calling, setting appointments, and closing enterprise SaaS and cloud solution sales to independent insurance agencies. Develop consultative business plans with Solution Consultants, follow up on leads, identify target opportunities, attend industry events, and maintain post-sale relationships. The role is remote within Denver, North Texas, or Oklahoma and requires up to 50% territory travel.

Support Salesforce administration, configuration, automation, data quality, security, user permissions, and ticket triage. Translate business requirements into scalable solutions, maintain documentation, monitor platform processes, and collaborate with senior team members. The role also involves building and monitoring internal process automations using Claude.

Leads enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, AI, and vector-store use cases. Establishes data quality, governance, lineage, observability, access-control, and reliability standards. Defines AI-enabled data engineering patterns, mentors engineers, resolves complex architecture issues, and influences cross-functional roadmaps. Requires hands-on technical leadership and 15+ years of software, data engineering, or architecture experience.

Own carrier connectivity for a commercial insurance platform, solving complex integration problems from diagnosis through production. Define technical solutions involving APIs, authentication, data contracts, error handling, and system architecture. Coordinate priorities and delivery across multiple product and engineering teams, measure connectivity performance, partner with carriers and internal product leaders, and communicate tradeoffs and progress to executives.

Leads full-cycle enterprise sales for insurance technology and AI-powered SaaS solutions, managing prospecting, discovery, evaluations, proofs of concept, negotiations, and account expansion. Builds strategic account plans, develops executive relationships, explains technical concepts, coordinates cross-functional teams, maintains Salesforce pipeline hygiene, and supports customer retention. This primarily outside-sales role requires frequent U.S. travel of up to 50%.

Leads product operations for an assigned Product leader, addressing ambiguous business and product problems through data-informed analysis. Drives cross-functional outcomes across discovery, roadmap planning, go-to-market, and post-launch activities. Aligns stakeholders on metrics, telemetry, and KPIs; synthesizes customer, stakeholder, and performance data into recommendations; promotes AI adoption; standardizes product operations practices; and coaches product teams through training, templates, and documentation.

Leads and develops a Solution Consulting team supporting the Applied Epic portfolio. Responsibilities include coaching consultants, partnering with Sales, overseeing product demonstrations, supporting strategic deals, coordinating executive client engagements, aligning with Product and Marketing, and ensuring implementation handoffs. The role requires insurance or SaaS expertise, pre-sales experience, people management, AI product knowledge, and up to 50% nationwide travel.

Support and optimize People Operations processes across the employee lifecycle, including onboarding, compensation changes, leave administration, and offboarding. Improve workflows through automation and self-service solutions, partner with cross-functional teams and vendors, maintain documentation and audit-ready controls, and lead operational improvement initiatives. Analyze service trends and drive adoption of new processes and tools.

Defines and executes strategy for benefits products, leading roadmaps, prioritization, release planning, market research, and customer adoption. Partners with engineering, UX, sales, service, customers, and leadership to deliver workflow automation, integrations, AI-driven solutions, and data-informed product improvements. Develops requirements, user stories, business cases, and design specifications while mentoring junior product team members.

Sell connectivity, data solutions, and AI-powered risk digitization software to insurance carriers and MGA clients across Canada. Responsibilities include developing strategic account plans, acquiring new logos, expanding existing accounts, managing executive relationships, negotiating renewals, forecasting sales, gathering market feedback, and meeting or exceeding quotas. The role uses a consultative solution-selling methodology and involves virtual, telephone, onsite, and industry-event engagements.

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.

Provides consultative pre-sales support for insurance software solutions. Develops product demonstrations, coordinates client site visits, prepares proposals, responds to customer requirements, and collaborates with sales and supporting teams throughout the sales cycle. Uses insurance industry and technology expertise to align client goals with product capabilities and demonstrate business value. Requires up to 25% North American travel.

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.

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.

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 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.

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.

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.

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.