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Lead client implementation projects from inception through deployment, managing scope, resources, deliverables, budgets, timelines, stakeholders, vendors, and project reporting. Maintain project artifacts and implementation data in Salesforce, coordinate internal and external meetings, identify expansion opportunities, and support change-order pricing and Statements of Work. Projects may support RMIS, GRC, EHS, and healthcare SaaS products.

Modernize legacy .NET and C# systems by reducing technical debt, refactoring monoliths into microservices, and re-platforming applications onto AWS cloud-native architectures. Build APIs, containerized services, infrastructure as code, and modern data migration workflows. Apply AI-assisted development tools for code analysis, refactoring, testing, and documentation while promoting simplicity, observability, scalability, and sound engineering standards.

Own product marketing for insurance solutions by developing market insights, positioning, messaging, go-to-market strategy, competitive intelligence, sales enablement, and launch readiness. Partner with Product, Sales, and Marketing to translate product capabilities into differentiated value, support bookings and expansion, inform roadmap decisions, and drive adoption among P&C insurance buyers.

Builds and ships user-facing product experiences and integrations using low-code, no-code, and AI-assisted development tools. Translates stakeholder needs into maintainable solutions, integrates platform services and APIs, applies authentication, security, privacy, and compliance controls, and partners with Product, Architecture, DevOps, Security, and QA. The role also defines testing, telemetry, documentation, runbooks, acceptance criteria, and post-launch product health metrics.

Provides client-facing technical support for enterprise SaaS applications through case ownership, structured troubleshooting, data analysis, platform configuration, and clear communication. Investigates issues using SQL and scripting or markup languages, resolves Tier 1 or Tier 2 cases, escalates complex problems, documents findings, supports outage communications, and contributes to knowledge-sharing and continuous improvement.

Leads and develops a DevOps platform team responsible for AWS-based developer platforms, CI/CD pipelines, Terraform, EKS, service onboarding, connectivity, secrets, observability integration, and environment promotion. Drives automation, AI-assisted DevOps workflows, platform reliability, security controls, incident response, compliance readiness, and cross-functional delivery. The role combines direct people leadership with hands-on technical oversight of scalable, self-service engineering infrastructure.

Owns Azure DevOps administration, governance, configuration, access controls, boards, organizational structures, and GitHub integrations for Engineering. Diagnoses platform issues, automates administrative tasks, maintains standards and documentation, supports onboarding, tracks platform health and compliance, and contributes to adjacent tools such as LaunchDarkly, Flyway, Cursor, and Claude Code.

Administers and governs engineering platforms including Azure DevOps, LaunchDarkly, Flyway, Cursor, and Claude Code. Manages access controls, feature flags, database migrations, standards documentation, platform health, compliance evidence, and automation. Builds monitoring, enablement resources, and workflow improvements while supporting secure, reliable engineering operations. Senior-level responsibilities also include leading complex integrations, automation strategy, technical mentoring, and AI tooling evaluation.

Develops and maintains AI governance policies, frameworks, and controls aligned with regulatory and industry standards. Conducts AI model risk assessments covering bias, explainability, data quality, and security; evaluates organizational and vendor risks; supports audits; designs controls; and partners with Legal, Privacy, Security, and Technology teams. The role also promotes compliant AI practices and organizational awareness while applying advanced AI/ML knowledge.

The Product Sales Executive serves as an EHS subject matter expert, driving product revenue, managing a sales quota, generating pipeline, and supporting complex sales cycles. Responsibilities include delivering demos and executive presentations, aligning solutions to customer needs, collaborating with sellers and account managers, enabling sales teams, and providing customer and market insights. The role requires EHS experience, SaaS sales or pre-sales expertise, strong communication skills, CRM proficiency, and up to 25% travel.