KLDiscovery Logo

KLDiscovery

Senior Manager, Process Engineer

Posted 24 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Senior Manager, Process Engineer will build an industrial engineering function, focusing on process mapping, constraint management, performance measurement, and cross-functional leadership in a high-volume operations environment.
The summary above was generated by AI

Senior Manager, Process Engineer - Operations  | Reports to SVP, Operations 

KLDiscovery is hiring a Senior Manager, Process Engineer to build the industrial engineering function from the ground up. This is a building role, not a maintaining one. The work spans process design, constraint management, performance measurement, and cross-functional leadership across a high-volume operations environment. The right candidate will move quickly, measure everything, and earn credibility through evidence rather than mandate.

 

What you'll be doing:

Process engineering and design. Own end-to-end process mapping across all operational workflows, from intake through delivery. Apply Lean, Six Sigma, DMAIC, and Theory of Constraints to identify waste and redesign for throughput and quality. Establish KLD-wide documentation standards (SOPs, swimlane maps, RACI), maintain a current- and future-state process library that serves as the operational baseline for all functions, and lead process design for new capability launches so scalability is engineered in from day one.

Throughput and capacity management. Identify and actively manage the binding constraint in the production system at all times. Build capacity models that connect staffing, work mix, and throughput to revenue and delivery commitments. Develop surge capacity playbooks and flex staffing frameworks, and partner with Ops leaders to sequence and prioritize investments based on constraint analysis and unit economics.

Performance measurement and reporting. Design and own the KPI framework for operational performance, including throughput, cycle time, error rate, cost per unit, and capacity utilization. Build dashboards and reporting cadences that give leadership real-time visibility into process health. Run structured variance analysis to surface root causes, not symptoms, and deliver executive-ready reports with clear recommendations.

Cross-functional leadership and automation. Lead a process improvement council across Ops, Product, Technology, and Finance to align on priorities and eliminate duplicative effort. Partner with Product and Engineering to translate process requirements into automation and tooling specifications. Build credibility through data, transparency, and demonstrated results, and represent the process function in executive planning and investment decisions.

Team development and function building. Hire, develop, and retain a team of industrial engineers and process analysts. Build the IE function from an ad hoc resource into a standing capability the business relies on. Coach practitioners in structured problem-solving and stakeholder communication, and establish a continuous improvement culture that does not depend on the IE team to initiate every project.

 

What you should already have:

We expect a builder with operating experience, not a methodologist. Most of the work is in a high-volume, PE-backed environment where urgency and resource constraints are the norm, so candidates should be comfortable making calls with imperfect data.

  • Eight or more years in industrial engineering, process engineering, or operational excellence in a high-volume environment.

  • Proven track record of designing and implementing process improvements with measurable impact on throughput, cost, or quality.

  • Lean Six Sigma Black Belt or equivalent certification strongly preferred.

  • Experience building or leading an IE or operational excellence function, not just contributing to one.

  • Strong analytical and quantitative skills, with proficiency in process mapping tools, statistical analysis, and data visualization.

  • Demonstrated ability to lead cross-functional teams without direct authority.

  • Experience in PE-backed or high-growth environments where urgency and resource constraints are the norm.

  • Executive-grade communication; able to translate process findings into business decisions.

  • Bachelor's degree in industrial engineering, operations research, or a related quantitative field; advanced degree a plus.

  • Track record of developing and promoting talent within the function.

 

Benefits and Perks:

  • A talented, collaborative team that will push and support you.

  • Market-competitive compensation, performance bonus, and equity participation.

  • Medical, dental, and vision benefits.

  • 401(k) retirement plan.

  • The opportunity to build a function from the ground up in a PE-backed growth environment.

Similar Jobs

An Hour Ago
Remote or Hybrid
California, USA
141K-229K Annually
Senior level
141K-229K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Drive front-end development for customer-facing web and mobile experiences. Lead feature delivery from concept to production using React, Next.js, TypeScript, Svelte, and Tailwind. Troubleshoot integrations, write unit and integration tests, produce technical documentation, collaborate with product/design/data, and use AI tooling (preferably Claude) to accelerate design and implementation.
Top Skills: ClaudeJavaScriptNext.JsReactSvelteTailwind CssTypescript
An Hour Ago
Remote or Hybrid
US
141K-229K Annually
Senior level
141K-229K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Lead backend and full-stack work on the Payments team, building multi-gateway integrations (Stripe, PayPal), payment APIs, and customer payment UIs. Ensure secure, compliant (PCI-DSS) payment flows, reliability, observability, and scalability across AWS/Kubernetes microservices. Partner cross-functionally to design architecture, implement settlement/reconciliation, and maintain high availability.
Top Skills: .NetAi-Assisted Development ToolsAWSC#DatadogDynamoDBKafkaKubernetesPaypalPci-DssPostgresReactStripeSvelteTypescript
An Hour Ago
Remote or Hybrid
California, USA
141K-229K Annually
Senior level
141K-229K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Build and operate the Power Packs customer experience and backend services. Design data foundations, APIs, and integrations across platform services. Troubleshoot distributed systems, contribute full-stack plumbing as needed, improve observability and documentation, and collaborate with Product and partner teams to deliver scalable, multi-tenant marketplace capabilities.
Top Skills: Apache KafkaAWSAws LambdaClaudeDockerDynamoDBEcsJavaKubernetesNode.jsPostgresPytestPythonSpring BootTypescriptUnittest

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account