Product Operations Leader

Xplor is building an operating system to help it use AI responsibly, scale adoption, and turn AI-enabled capabilities into measurable revenue and contribution margin. This onsite role in Myrtle Point, OR helps create the shared measurement, governance, and operating cadence that keeps BU leaders, product and R&D aligned across pilots and production.

What you will deliver

As the Product Operations Leader, you will own the shared layer that connects three connected outcomes: AI-enabled productivity, customer adoption of AI features, and commercialization. The role brings clarity through decision-ready reporting, portfolio-level governance, and cost-aware measurement so leaders can see where AI benefits are real, where they stall, and where the next investments should go.

Responsibilities

• Build and run a single AI benefit scorecard with Finance, capturing every AI benefit net of AI cost (inference, hosting, tools, and support), in one engine.
• Publish a quarterly AI board scorecard covering value and risk measures, with a named owner and a source system for every measure.
• Run a repeatable prioritization and triage process for operations and tooling improvements, including clear owners, expected impact, and follow-up on results.
• Turn data into short, decision-ready narratives for the Chief AI Officer and the C-suite.
• Build a measurement framework linking delivery and AI-SDLC productivity signals (cycle time, throughput, quality, adoption of AI tooling) to business outcomes such as idea-to-customer lead time, PR-to-production rate, change failure rate, escaped defects, rework, and capacity moved to customer-facing work.
• Act as a neutral orchestrator across teams using different delivery approaches (Scrum, Kanban, SAFe-style and hybrids; Jira, Azure DevOps and others), meeting teams where they are.
• Identify where gains stall before reaching customers (review wait, regression coverage, late QA, launch readiness) and route fixes to the right owners.
• Partner with function owners in support, revenue operations, finance, and onboarding to baseline fully loaded cost per resolved outcome while keeping quality constant.
• Own customer adoption metrics and standardize reporting across the portfolio at 30-60-90 days, including activation, usage depth, retention, and satisfaction.
• Build the commercial view with Finance and BU leaders: AI and data ARR, paid attach, retention and expansion, win-rate uplift, gross margin per AI feature, and cost per successful task.
• Run launch-readiness checks with BU leaders before any AI price goes live: cost per task known, margin target met after inference, attribution rule and holdout set, and GTM enablement readiness.
• Operationalize decision rights, escalation paths, and ownership for data and AI initiatives, ensuring each investment has an accountable owner, success measures, and a review date.
• Maintain a portfolio-level register of data and AI initiatives and risks, surfacing issues early with recommended actions to the Chief AI Officer.
• Run the data and AI vendor and partner inventory and monthly review with Procurement, Finance, and Security, covering spend, overlap, security review, data terms, and knowledge transfer from consultants.
• Track adherence to agreed standards and policies and report exceptions without becoming a bottleneck.
• Hire, develop, and lead a product operations team, defining mandate, operating model, and success measures.
• Apply AI to product operations itself, including automated reporting, insight synthesis, and workflow automation.

Key success metrics

• First 30 Days: Complete inventory of AI tools, vendors, spend, pilots, and production systems; publish baseline scorecards and product readiness cards; establish steering cadence and a decision log.
• 60 Days: Deliver the board scorecard for its first full quarter in partnership with FinOps and BU leaders; implement cost visibility by BU and product; track adoption and cost per task for every live AI pilot; introduce stage gates for new initiatives.
• 90 Days: Report AI ARR, margin, and retention vs. holdout for launched features; document efficiency savings; publish and meet governance service levels; run product operations with its own efficiency and productivity measures.

About the role and how Xplor works

• You will report to the Chief AI Officer and partner with BU presidents, product and R&D leaders, GTM, Finance, Security, Legal, Privacy, and the People team.
• This is a hands-on leadership position focused on building the function and staying close to the data and teams.
• BUs act as central customers, and Xplor measures outcomes, not activity. Decisions use a demo, an eval, or a metric rather than decks, and forums and reporting are kept to what supports real decision-making.

Requirements

• 8+ years in product operations, business operations, strategy and operations, technical program management, product management, or a similar role in a SaaS or technology company, including at least 3 years at senior or director level.
• Proven experience building KPI and measurement frameworks connecting delivery or product data to business outcomes such as adoption, retention, and revenue.
• Experience working with Finance, Sales, and Marketing on pricing, packaging, launch, or go-to-market performance.
• Experience leading cross-functional initiatives across Product, Engineering, Customer Success, and executive leadership, establishing governance, decision rights, and accountability mechanisms teams follow.
• Working knowledge of multiple delivery methodologies including Agile, Scrum, Kanban, and SAFe, and the ability to support teams using different ones.
• Hands-on fluency with product and delivery tooling (Jira or similar), product analytics, BI, and data integration across systems.
• Strong written and verbal communication, including presenting data and tradeoffs clearly to executives.
• Experience building or leading a team, including hiring and coaching.

Preferred

• Experience with product adoption, monetization, or usage-based pricing.
• Experience measuring the impact of AI-assisted development or other engineering productivity programs using frameworks such as DORA and SPACE.
• Experience in vertical SaaS or multi-product portfolios, including products at different modernization stages.
• Comfort using AI tools and automation in daily operating workflow.
• Experience with governance, risk classification, or responsible-AI programs alongside Security, Legal, and Privacy.
• Experience managing a vendor and partner portfolio, including consolidation and contract standards.
• Experience with cloud or AI cost management (FinOps), including unit economics and cost per task.

Technologies

• AI, Scrum, Kanban, SAFe, Agile, Jira, Azure DevOps, BI, AI-SDLC, DORA, SPACE, FinOps

Compensation and location

• Location: Myrtle Point, OR (onsite)
• Salary: USD 179,000 - 187,000 per year

Additional notes for applicants

• To be considered, you must be legally authorized to work in the country where the role is advertised. Xplor does not sponsor visas.
• Xplor cannot offer contractor arrangements or Employer of Record engagements for this position at this stage.
• Apply through the careers portal or external job boards only. Email applications cannot be uploaded.
• Background and identity verification checks will be required. Some interviews may be recorded to protect against recruitment fraud.
• Xplor is an Equal Employment Opportunity employer and provides reasonable accommodations for qualified individuals with disabilities.