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insightsoftware

Vice President, Engineering – EPM

insightsoftware

. Lead a global engineering organization across multiple EPM product lines .

Posted 9/30/2026full-timeRemote • United StatesLead💰 $212,000 - $265,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading global engineering teams, driving cloud-native SaaS product development, and implementing Agile and DevOps practices. Proven ability to modernize legacy applications and enhance operational excellence through measurable metrics and strategic planning.

Highest-signal resume keywords
Cloud-Native SaaS ArchitectureAgile and Lean PrinciplesDevOps and Continuous DeliveryAI and Agentic ToolingDORA Metrics Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaC#JavaScriptTypeScriptTest AutomationContinuous IntegrationFeature FlagsProgressive DeliveryIncident ManagementCapacity Planning
Soft Skills
LeadershipMentoringCollaborationNegotiationContinuous Improvement
Tools & Technologies
SaaS Operational ExcellenceIdentity ManagementObservabilityMeteringTenant Provisioning
Certifications & Qualifications
BS in Computer ScienceBS in Computer Engineering
Industry Keywords
EPM Product LinesTechnical DebtCustomer MigrationsSecurity and CompliancePsychological Safety

Tech Stack

Tools & technologies
CloudJavaJavaScriptTypeScript

About the role

Key responsibilities & impact
  • Lead a global engineering organization across multiple EPM product lines
  • Own how the EPM portfolio is built, shipped, and operated
  • Define and execute modernization strategies for legacy applications
  • Sequence modernization incrementally and protect production customers
  • Reduce technical debt through measurable targets and executive reporting
  • Plan and execute customer migrations from on-premise and single-tenant deployments
  • Lead design and delivery of cloud-native, multi-tenant services
  • Build shared platform capabilities including identity, observability, metering, tenant provisioning, and self-service environments
  • Own SaaS operational excellence, including SLOs, error budgets, on-call, incident management, capacity planning, cost efficiency, and disaster recovery
  • Embed security, privacy, and compliance into architecture and delivery pipelines
  • Lead adoption of an agentic software development lifecycle
  • Establish safeguards for AI-generated changes, including human review, testing, evaluation, provenance, traceability, and secure data handling
  • Redesign engineering workflows, roles, and skills for agentic delivery
  • Partner with Product to deliver trusted customer-facing AI capabilities for finance users
  • Build production AI foundations including model and prompt management, retrieval, evaluation, and monitoring
  • Apply responsible-AI practices including explainability, auditability, tenant isolation, and human-in-the-loop controls
  • Own DORA outcomes and quarterly improvement targets across product lines
  • Implement test automation, continuous integration, trunk-based development, feature flags, and progressive delivery
  • Improve reliability through SLOs, error budgets, and blameless post-incident reviews
  • Shift security left through automated scanning, dependency management, vulnerability management, and secure-by-default pipelines
  • Report engineering, quality, operations, and system performance to executive management
  • Lead staffing, mentoring, and development of high-performing teams across disciplines and geographies
  • Collaborate with architects, product managers, engineering managers, and developers on technical direction
  • Drive engineering roadmaps, operational plans, and delivery commitments in an Agile/Lean environment
  • Manage departmental budgets and resources, including employees, contractors, and suppliers
  • Negotiate vendor contracts and statements of work
  • Build a culture of ownership, psychological safety, continuous improvement, and customer focus
  • Evolve software development practices, tooling, reporting, and methodology

Requirements

What you’ll need
  • BS in Computer Science, Computer Engineering, or a related technical discipline
  • Prior experience serving as a Vice President of Engineering
  • 10+ years of progressive engineering leadership experience
  • 10+ years of software development experience
  • At least 5 years building and running cloud products using Java, C#, and JavaScript/TypeScript
  • 7+ years leading multiple Agile teams and programs
  • Expert understanding of Agile and Lean principles
  • 5+ years driving full DevOps and continuous delivery practices
  • Demonstrated track record of improving DORA metrics and software quality at scale
  • 3+ years managing global engineering teams and suppliers across multiple products
  • Experience with teams combining full-time employees and contractors
  • Experience modernizing legacy or on-premise enterprise applications to cloud-native SaaS, including customer migrations
  • Hands-on leadership experience with multi-tenant SaaS architecture and production operations, including SLOs, incident management, and on-call
  • Demonstrated experience using AI and agentic tooling to measurably improve engineering productivity and quality
  • Proven ability to manage multiple product lines and meet release commitments
  • Experience negotiating contracts and SOWs with vendors
  • Background checks are required for employment where permitted by country, state/province

Benefits

Comp & perks
  • Base salary range of $212,000–$265,000 per year
  • Additional bonus eligibility may apply
  • Equal employment opportunity
  • Confidential handling of employment information according to EEO guidelines