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Pie Insurance

Tech-driven workers' comp for small businesses

Senior Operational Product Manager

Business OperationsConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Business, Engineering, Operations Management, or a related field is preferred; a master's degree in Business Administration, Engineering, or a related field is a plus.
  • One or more advanced methodology certifications, such as Six Sigma Master Black Belt, Advanced Lean, advanced PMI credentials (PgMP, PMI-ACP, PMI-RMP), Certified ScrumMaster, or Prosci Change Management, with demonstrated expertise across multiple process-improvement frameworks and business contexts.
  • At least 8 years of experience in operational excellence, process improvement, program management, or similar roles, with increasing responsibility and results across multiple business domains.
  • At least 3 years of program leadership experience managing complex, multi-stakeholder initiatives and influencing department-level stakeholders across competing organizational priorities.
  • A Six Sigma Black Belt certification from an accredited provider with multiple project completions across different business contexts; or a Lean Master certification with demonstrated multi-domain application; or a PMP with multiple process project completions.
  • A proven record of leading large-scale operational transformation programs spanning multiple domains, with documented before-and-after metrics and sustained results over 18 months or more.
  • Strong analytical and problem-solving skills, including analyzing complex operational performance data across business areas, identifying interdependencies and patterns, and translating insights into improvement strategies and program roadmaps.
  • Advanced communication and influence skills, including presenting to and influencing department heads, executive stakeholders, and senior leadership, and facilitating high-stakes conversations across competing priorities.
  • Cross-functional collaboration expertise, including building strategic relationships across operational domains, navigating organizational dynamics, and coordinating stakeholders.
  • Experience in a technology or product organization, with knowledge of the product development lifecycle, agile methodologies, and their intersection with operational excellence across areas such as engineering, product management, customer experience, and business operations.
  • Advanced knowledge of operational excellence frameworks, structured problem-solving approaches, and business-process optimization methodologies, with the ability to adapt them across organizational cultures and business environments.
  • Experience with enterprise operational tools and systems, including performance measurement platforms, process-mapping software, data analytics tools, program-management platforms, and operational dashboard development.
  • Change-management and organizational-development expertise, including building consensus and leading transformational initiatives with measurable adoption and sustainment results.
  • Senior leadership collaboration experience, including working with VP-level or higher executives on strategic operational decisions, contributing to enterprise strategy, and influencing resource allocation across business areas.
  • Demonstrated experience applying AI to operational work, with specific examples of workflow redesign or automation adoption rather than generic chat-tool usage alone.
  • Ability to reason about AI limitations, coach stakeholders on practical use and guardrails, and partner on process-and-tooling deliverables.
  • Exposure to agentic automation or low-code operational tooling is a plus.

Responsibilities

  • Lead operational excellence programs across at least two business domains, applying the Operational Excellence Model to identify improvement opportunities aligned with business objectives.
  • Coordinate cross-functional teams to build improvement portfolios across assigned domains, considering value creation, competitive landscape, and market positioning.
  • Execute 10–12 major operational transformation programs annually, achieving strong stakeholder adoption and impact lasting at least 18 months.
  • Achieve measurable efficiency improvements across at least two domains within the first year, with documented cross-organizational metrics and sustained cost savings.
  • Manage complex operational challenges from discovery through delivery, translating ambiguous problems into improvement initiatives across multiple domains.
  • Orchestrate stakeholder relationships and dependencies across concurrent initiatives, allocating resources and managing timelines.
  • Develop integrated solutions across connected domains that create synergies and can be replicated organization-wide.
  • Apply operational excellence, Lean, and Six Sigma methodologies across domains and coach business stakeholders in structured problem-solving methods.
  • Use first-principles thinking and advanced problem-solving methods to identify underlying structures and interdependencies in complex operational challenges.
  • Make strategic decisions across competing domain priorities and resource constraints, seek coaching on the highest-stakes decisions, and use risk frameworks and contingency strategies.
  • Execute complex multi-domain programs independently and implement operational frameworks with benefits that compound over time.
  • Develop communication strategies to align operational domains and influence department-level stakeholders.
  • Lead high-stakes conversations, build consensus across competing priorities, and translate operational concepts across functions and between technical and business stakeholders.
  • Build trusted-advisor relationships with department heads and VP-level stakeholders on cross-domain operational challenges and strategic decisions.
  • Identify high-volume workflows where AI tools or agents can reduce manual work, improve consistency, or accelerate cycle time, partnering with technical stakeholders when appropriate.
  • Build and iterate operational AI tools, agent workflows, and agent skills, including instruction sets, guardrails, and exception paths, to encode how work should run.
  • Redesign processes with AI in the loop, defining where human judgment and exception handling remain, where automation is appropriate, and how to measure quality, adoption, and sustainment.
  • Use AI tools, agents, and skills in operational work; coach stakeholders on building, testing, monitoring, and retiring operational automations responsibly.
  • Support operator-as-orchestrator models in which agents handle repetitive transactional work and people focus on exceptions, quality, and continuous improvement.
  • Build strategic relationships across operational domains and foster collaboration between siloed teams through structured frameworks.
  • Lead cross-functional operational initiatives spanning departments, maintaining governance and developing operational-change strategies that achieve adoption across business units.

Desired Qualifications

  • A master's degree in Business Administration, Engineering, or a related field is a plus.
  • Exposure to agentic automation or low-code operational tooling.

About the Company

Pie Insurance

Tech-driven workers' comp for small businesses

Pie Insurance provides workers’ compensation insurance for small businesses. Its product uses data-driven technology to underwrite and price policies, delivering fast, online access with quotes in about three minutes. The platform processes, underwrites, and issues workers’ comp coverage, with nationwide availability across 38 states and Washington, D.C., offering potential savings of up to 30% and straightforward terms for small business owners.

Company size
201-500
Company stage
Series D
Total funding
$620.3M
Headquarters
Denver, CO
Founded
2017

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