Pantheon Platform Logo

Pantheon Platform

Revenue Operations Senior Manager — Support & Services

Reposted 21 Days Ago
Remote
Hiring Remotely in United States
125K-154K Annually
Senior level
Remote
Hiring Remotely in United States
125K-154K Annually
Senior level
Lead Revenue Operations for Support and Professional Services by building processes, systems, and reporting to improve delivery, capacity planning, SLAs, and customer outcomes. Drive cross-functional initiatives, root-cause analyses, tech-stack optimization, and handoffs across Sales, CS, and Services to connect post-sales operations to retention and revenue.
The summary above was generated by AI
About Pantheon

Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon's multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon's collaborative workflows.

The Role

We're seeking a Revenue Operations Manager to drive operational excellence across our Support and Professional Services organizations. This role will build the processes, systems, and reporting infrastructure that enable our Services and Support teams to deliver consistent, scalable customer experiences and connect those efforts back to retention and revenue outcomes.

This role blends analytical rigor, process design, and cross-functional leadership to ensure our post-sales delivery teams have the data, tools, and workflows they need to operate efficiently and improve customer outcomes.

What You'll Do
  • Partner with Services and Support leadership to define and operationalize delivery models, capacity planning, and resource allocation
  • Support annual and quarterly planning: staffing models, utilization targets, service-level commitments, and coverage alignment for onboarding, implementation, and support teams
  • Build and optimize reporting on services delivery, support performance, CSAT, time-to-value, and escalation trends
  • Lead root-cause analysis on support escalations, services delivery gaps, and onboarding friction to identify systemic improvement opportunities
  • Translate operational data into actionable insights for Services and Support leaders to improve efficiency and customer experience
  • Partner with RevOps peers to ensure smooth handoffs across Sales, CS, and Services functions — particularly around onboarding and implementation workflows
  • Work closely with Enablement to ensure systems and processes are embedded in day-to-day Support and Services workflows
  • Manage and optimize the Support and Services tech stack, ensuring tool adoption and accurate data flow between systems and partnering cross-functionally on systems that span the revenue cycle
What You Bring to the Table
  • 6–10 years of experience in Revenue Operations, Services Operations, Support Operations, or Business Operations in a B2B SaaS environment
  • Familiarity with services delivery models: professional services, onboarding, implementation, and/or technical support operations
  • Strong analytical and modeling skills — comfortable building utilization models, SLA tracking, escalation analyses, and capacity plans
  • Ability to synthesize complex data into clear recommendations and business narratives
  • Excellent project management skills with experience driving cross-functional initiatives
  • Strategic thinker who can balance long-term planning with hands-on execution
  • A hands-on ownership mindset
What We Offer

We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team.

  • Industry competitive compensation and equity plan
  • Flexible time off, sick days, and 13 paid holidays
  • Comprehensive medical insurance including Health, Dental, and Vision
  • Paid parental leave (plus fertility, adoption, and other family planning benefits)
  • In-office workspace
  • Monthly allowance for wellness, reading, and access to LinkedIn Learning for continued development
  • Events and activities both team-based and company-wide that inspire, educate, and cultivate

Pantheon is an equal-opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need reasonable accommodation due to a disability for any part of the interview process, please contact [email protected]. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment.

The base salary range for this role is $125,000 –$154,000 USD. This position also offers a performance bonus dependent on company performance. Our salary ranges are determined by role, level, and location.

After an offer is made and accepted, E-Verify will be used to confirm your identity and employment eligibility, as required by the U.S. Department of Homeland Security.

Visa sponsorship is not available at this time.

To review the Employee and Applicant's Privacy Policy, click here.

Similar Jobs

15 Minutes Ago
Remote
United States
120K-220K Annually
Entry level
120K-220K Annually
Entry level
Fintech • Information Technology • Software
Build, train, and productionize machine learning models for fraud detection and identity verification. Perform data acquisition, feature engineering, experimentation, monitoring, and analyses to inform product, sales, and risk decisions. Collaborate with engineering, data acquisitions, and risk operations to maintain data quality and ship production-ready code. Research new fraud types and contribute to new product development across the ML lifecycle.
Top Skills: AWSEc2PostgresPythonRdsRedshiftS3
15 Minutes Ago
Remote
United States
120K-220K Annually
Entry level
120K-220K Annually
Entry level
Fintech • Information Technology • Software
Build and deploy production ML models for fraud and identity risk across the full ML lifecycle. Research new fraud types, engineer features, write production-ready code, collaborate with cross-functional teams, and inform product, data acquisition, and business decisions.
Top Skills: Aws Ec2Aws RdsAws RedshiftAws S3PostgresPython
15 Minutes Ago
Remote
United States
120K-220K Annually
Entry level
120K-220K Annually
Entry level
Fintech • Information Technology • Software
Design, develop, and productionize machine learning models for fraud detection and identity verification. Perform end-to-end model lifecycle work including data acquisition, feature engineering, training, experimentation, deployment, and monitoring. Research new fraud types, build product-focused models, write production-ready code, and collaborate with engineering, operations, and data teams to support product and business needs.
Top Skills: Aws Ec2Aws RdsAws RedshiftAws S3PostgresPython

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account