Product Operations Leader

Posted Yesterday
Be an Early Applicant
Hiring Remotely in US
Remote
179K-187K Annually
Senior level
Cloud • Payments • Software
Xplor Technologies powers the experiences at the heart of everyday life.
The Role
Leads Product Operations for AI initiatives across productivity, customer adoption, commercialization, governance, measurement, and cost visibility. Builds executive scorecards, establishes portfolio decision rights, tracks AI value and risks, standardizes product and delivery metrics, supports launch readiness, manages vendor oversight, and develops a product operations team. Partners with Finance, Product, Engineering, GTM, Security, Legal, Privacy, and executive leaders to connect AI investments with revenue, margin, adoption, retention, and operational outcomes.
Summary Generated by Built In
Company Description

At Xplor, we believe that helping people make the most of each day is the most rewarding way to spend ours.

We give small and medium-sized businesses cloud-based, intuitive technology solutions that enable them to manage all the hassles of running and growing a business, so business owners can get back to doing what they love. With Xplor Pay, we help businesses get paid quickly and securely – without hidden fees. We built the tech ourselves, and our platform delivers secure, transparent, fast, and accurate payments.

We are unified by our purpose of helping people to succeed. So, when you become part of our team, you also become part of the personal connection that strengthens the relationship people have with Xplor products.

Job Description

About the role

The Leader of Product Operations builds the operating system that helps Xplor use AI responsibly, adopt it widely, and turn it into revenue and contribution margin, with clear governance and accountability for the results. The role covers three connected areas: AI-enabled productivity, adoption of AI features by our customers, and the commercialization of those features. You will own the shared layer that makes all three work including measurement, value tracking, portfolio governance, intake, cost visibility, and the operating cadence that keeps leaders aligned.

Our products and teams span a wide mix of tools and workflow methodologies. You will create a shared layer of measurement, visibility and improvement that works across them, and that product, engineering, go-to-market and executive leaders all trust, and speeds teams up without creating friction.

You will report to the Chief AI Officer and partner closely with BU presidents, product and R&D leaders, GTM, Finance, Security, Legal, Privacy and the People team. This is a hands-on leadership role: you will build the function and stay close to the data and the teams.

How we work: BUs are central's customers. We measure outcomes, not activity. We decide on a demo, an eval or a metric, not a deck. We keep forums and reporting to the minimum that supports a real decision.

What you'll do

Own the measurement and board scorecard

· Build and run a single scorecard with Finance that records every AI benefit, in one engine, net of AI cost (inference, hosting, tools and support).

· Produce the quarterly AI board scorecard covering value and risk measures, with a named owner and source system for every measure.

· Run a repeatable prioritization and triage process for operations and tooling improvements, with clear owners, expected impact and follow-up on results.

· Turn data into short, decision-ready narratives for the Chief AI Officer and C-suite.

Measure AI-enabled productivity

· Build a measurement framework that links 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.

· Help leaders see where AI productivity gains are real, where they are not, and where to invest next.

· Act as a neutral orchestrator across teams that use different tools and methodologies (Scrum, Kanban, SAFe-style and hybrids; Jira, Azure DevOps and others), meeting each team where it is.

· Find where gains stall before reaching customers (review wait, regression coverage, late QA, launch readiness) and route the fix.

· Partner with function owners in support, revenue operations, finance and onboarding to baseline target workflows on fully loaded cost per resolved outcome, with quality held constant.

Measure AI product adoption and commercialization

· Own the metrics and standardize reporting for how customers adopt and use AI features across the portfolio at 30-60-90 days, from activation and usage depth to 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 the launch-readiness checklist with BU leaders before any AI price goes live: cost per task known, margin target met after inference, attribution rule and holdout set, sales and customer success enablement ready.

Govern Data and AI accountability

· Operationalize and maintain decision rights, escalation paths and clear ownership for data and AI initiatives, so every investment has a named accountable owner, success measures, and a review date.

· Maintain a portfolio-level register of Data and AI initiatives and risks, and surface issues early to the Chief AI Officer with recommended actions.

· Run the Data and AI vendor and partner inventory and monthly review with Procurement, Finance and Security: 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 for teams.

Lead the function

· Hire, develop and lead a product operations team, and set its mandate, operating model and success measures.

· Apply AI to product operations itself, including automated reporting, insight synthesis and workflow automation.

Qualifications

What you'll bring

Required

· 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, with at least 3 years at a senior or director level.

· A track record of building KPI and measurement frameworks that connect product or delivery 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, and influencing without direct authority, including establishing governance, decision rights and accountability mechanisms that teams actually follow.

· Working knowledge of multiple delivery methodologies (Agile, Scrum, Kanban, SAFe) and the ability to support teams that use 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, including frameworks such as DORA and SPACE.

· Experience in vertical SaaS or a multi-product portfolio, including products at different stages of modernization.

· Comfort using AI tools and automation in your own daily operating workflow.

· Experience with governance, risk classification or responsible-AI programs, working 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): unit economics, cost per task.

 

Success Measurement

1. First 30 Days: Inventory of AI tools, vendors, spend, pilots and production systems complete. Baseline scorecard and product readiness cards published. Steering cadence and decision log running.

2. 60 Days: Board scorecard reported on its first full quarter in partnership with FinOps and BU leaders. Cost visibility by BU and product in place. Adoption and cost per task tracked for every live AI pilot. Stage gates in use for new initiatives.

3. 90 Days: AI ARR, margin and retention-vs-holdout reported for launched features. Efficiency savings documented. Governance service levels published and met. Product operations running with its own efficiency and productivity measures.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Before you apply

To be considered for employment, you must be legally authorized to work in the country where the role is advertised. This applies to remote roles too. Xplor does not sponsor visas, either at the time of hire or at any later time. We're also not able to offer contractor arrangements or Employer of Record engagements for this position at this stage.

Please apply through our careers portal or external job boards only. We're unable to upload emailed applications, as our process requires you to answer screening questions directly.

We also invite you to check out our Candidate FAQs for more information about our recruitment process xplor.com/recruitment-faqs/.

Interview Recording and Background Checks

As part of our hiring process, successful candidates will be asked to complete background and identity verification checks. Many of our roles are remote, and to protect both candidates and our business from recruitment fraud, we may record video interviews during the process. We keep any recordings and related data only for as long as the hiring process is active and do not retain them afterwards.

EEO and Artificial Intelligence

We believe in transparent hiring. We use an applicant tracking system with artificial intelligence-enabled features to support our recruitment process, but our recruitment team makes all hiring decisions after human review. We do not rely on artificial intelligence to make final hiring decisions. Find our Candidate AI Usage guidelines here.

Xplor is proud to be an Equal Employment Opportunity employer. We're dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability, veteran status and age. We encourage applications from all sectors of the community. All Information will be kept confidential according to EEO guidelines. 

Xplor is committed to fully including all qualified individuals. In keeping with our commitment, Xplor will take steps to ensure people with disabilities receive reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us via [email protected]. 

We make it a priority to respond to every applicant.

Skills Required

  • 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
  • At least 3 years at a senior or director level
  • Track record of building KPI and measurement frameworks connecting product or delivery data to adoption, retention, revenue, and other business outcomes
  • Experience working with Finance, Sales, and Marketing on pricing, packaging, launches, or go-to-market performance
  • Experience leading cross-functional initiatives across Product, Engineering, Customer Success, and executive leadership
  • Experience establishing governance, decision rights, and accountability mechanisms
  • Working knowledge of Agile, Scrum, Kanban, and SAFe delivery methodologies
  • Hands-on fluency with product and delivery tooling such as Jira, product analytics, BI, and data integration across systems
  • Strong written and verbal communication, including presenting data and tradeoffs to executives
  • Experience building or leading a team, including hiring and coaching
  • Experience with product adoption, monetization, or usage-based pricing
  • Experience measuring AI-assisted development or engineering productivity programs using frameworks such as DORA and SPACE
  • Experience in vertical SaaS or a multi-product portfolio
  • Comfort using AI tools and automation in daily operating workflows
  • Experience with governance, risk classification, or responsible-AI programs alongside Security, Legal, and Privacy
  • Experience managing vendor and partner portfolios, including consolidation and contract standards
  • Experience with cloud or AI cost management, FinOps, unit economics, or cost per task

Xplor Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xplor Technologies and has not been reviewed or approved by Xplor Technologies.

  • Leave & Time Off Breadth — Leave options appear broad, with generous PTO and paid sick days frequently highlighted as a notable part of the overall package. Paid volunteer time and bereavement leave add additional time-off breadth beyond standard vacation policies.
  • Retirement Support — Retirement support is positioned as a meaningful component of total rewards, including a 401(k) match that is described with a clear match formula. Eligibility for performance bonuses and mentions of equity/pension options further contribute to perceived long-term value for some roles.
  • Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, life, and disability insurance, alongside U.S.-specific supports like an FSA. Mental health support through an employee assistance program and wellness programs strengthen the overall health-and-wellbeing offering.

Xplor Technologies Insights

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The Company
HQ: Atlanta, GA
3,100 Employees
Year Founded: 2021

What We Do

WHAT WE DO At Xplor, we build easy-to-use technology for the businesses that make up everyday life – whether booking a gym session, dropping the kids at daycare, registering for a community center class, fixing your furnace, or playing 18 holes on Saturday.  That’s what people expect in the experience age – and why more than 130,000 businesses across 72+ countries use our integrated software and embedded payment solutions to attract, connect, engage, and retain their customers.   Our platform processes $47 billion in payments annually because we've made it simple for businesses to get paid, manage their operations, and focus on what they do best: serving their customers.   WHY JOIN XPLOR? • Work that has real-world impact: What we build helps businesses serve customers more effectively, and adapt as their businesses grow. When our customers succeed, everyday life works better for millions of people around the world. • Technology with purpose: We build technology for real operators solving real-world problems. That means designing products that fit how businesses actually work, helping customers make better decisions, and creating tools that improve both operations and the experiences they deliver. • A portfolio with breadth and depth: Our teams support a diverse set of industries, including fitness and leisure, golf and club, recreation, field services, garment care, education, and payments. That means the opportunity to solve meaningful challenges across multiple markets, while contributing to one shared company vision. OUR VALUES Our values shape how we lead, how we make decisions, and how we work every day. • Find a better way: We challenge outdated processes, improve the way we work, and look for smarter solutions. We bring ideas, not just problems, and stay open to better ways forward. • Do the right thing: We act with integrity, make ethical decisions, and hold ourselves to a high standard. We own mistakes quickly, learn from them, and apply our principles consistently. • Say it straight: We communicate clearly, and with respect. We share context, not just outcomes, give timely feedback, and speak up early when something needs attention. • Win together: We work across teams and functions with trust and shared purpose. We seek input early, assume positive intent, and celebrate success together. • Own the outcome: We take responsibility for results. We follow through, solve problems, and step in when something needs to be fixed.

Why Work With Us

At Xplor, you get room to grow, work that has real impact, and a team where you can bring your whole self. In return, we ask you to put people first, innovate fearlessly, and aim high. Be part of a global community built to help you – and the businesses we serve – thrive.

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