Note: The job is a remote job and is open to candidates in USA. XOi provides jobsite-focused technology for the field service ecosystem, including AI-powered workflows, asset and team management, knowledge management, and data-driven insights. The Product & Engineering Operations Lead will build and scale the operating system for the Product and Engineering organization by owning metrics, operating rhythms, systems, cross-functional execution, and AI enablement.
Responsibilities
- Own the unified Product & Engineering scorecard — including engineering delivery metrics (DORA, cycle time, delivery predictability, quality), product performance metrics (adoption, retention, opportunity conversion), and portfolio health
- Build dashboards and reporting that make effectiveness and efficiency visible in near-real-time
- Track capacity allocation across the teams so investment stays aligned with strategy
- Surface R&D efficiency indicators (engineering spend per outcome, throughput per team, ramp time) and translate them into decisions leadership can act on
- Develop and improve systems combining customer feedback, usage data, research, commercial insights, engineering metrics, and operational data into trusted product intelligence
- Partner with Product, Engineering, Customer Success, Sales, and Data teams to ground decisions in measurable outcomes, synthesize Voice of Customer insights, and identify portfolio opportunities
- Own and evolve the Product and Engineering operating model, including strategic planning, portfolio and roadmap governance, lifecycle management, execution visibility, launch readiness, and cross-functional rhythms
- Partner with Product and Engineering leadership to continuously improve planning, prioritization, delivery predictability, and cross-functional execution
- Facilitate alignment across Product, Engineering, Customer Success, Marketing, Sales, and other business functions to ensure strategic initiatives are coordinated and delivered successfully
- Lead operational planning for major product launches and cross-product initiatives, proactively identifying dependencies, risks, and opportunities for improved collaboration
- Partner with Product and Engineering leadership to identify AI opportunities to improve product operations, engineering workflows, research synthesis, documentation, planning, and decision support
- Develop best practices, workflows, and governance for AI-assisted product development while ensuring appropriate human oversight and quality standards
- Own Product and Engineering operational tools to ensure systems effectively support research, roadmaps, planning, documentation, decision history, and organizational knowledge
- Establish consistent documentation standards so product and engineering knowledge remains discoverable, traceable, and useful for both employees and AI-powered workflows
- Continuously optimize the Product and Engineering stack to reduce friction and enhance organizational effectiveness
Skills
- 3+ years of experience leading Product Operations, or in related B2B SaaS disciplines like Product Management, Engineering Ops, TPM, or Customer Success
- Proven track record of building or scaling Product Operations in high-growth software organizations
- Strong understanding of modern product development, software delivery practices, and product lifecycle management
- Skilled at leveraging data, customer insights, and engineering metrics to drive strategy and prioritization
- Enthusiasm for utilizing AI-powered productivity tools to optimize Product and Engineering operations
- Excellent communication, facilitation, and executive stakeholder management skills
- Experience managing and optimizing tools like Notion, AirTable, Productboard, Jira, Linear, or Aha!
- Ability to manage ambiguity while establishing scalable practices to support rapid growth
Benefits
- This role may be eligible for equity, bonus, and a comprehensive benefits package.
Company Overview
Company H1B Sponsorship