Scaled Customer Success Manager

Outset

$110K — $130K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-7 years of experience in customer success, account management, CS operations, or lifecycle/growth for high-volume portfolios.
  • Experience in building scaled or digital customer success programs from the ground up.
  • Strong technical skills in data analytics and usage, utilizing AI tools for data extraction and reporting.
  • Proficiency with modern GTM and support tools, particularly in a SaaS environment.
  • Exceptional written and verbal communication skills.

Responsibilities

  • Own and drive adoption, retention, and expansion for a portfolio of 100-200+ Scaled accounts.
  • Utilize automation and self-service methods to enhance user engagement and maintain high adoption levels.
  • Monitor account health and usage, identifying risk and growth opportunities proactively.
  • Manage renewals using a combination of active engagement and auto-renewal strategies.
  • Build and facilitate one-to-many programs such as onboarding sessions, webinars, and success documentation.
  • Develop a robust account health tracking methodology to gauge usage signals and their predictive value.
  • Collaborate cross-functionally to establish the infrastructure necessary for scalable customer success operations.

Benefits

  • Opportunity to be a foundational hire and significantly influence team processes and strategies.
  • Engagement in cross-department collaboration, working closely with RevOps, Marketing, and Engineering.
  • Exposure to cutting-edge AI tools and methodologies in a fast-paced SaaS environment.
  • Pathway to develop comprehensive account health metrics that shape future customer success initiatives.
Full Job Description
As a Scaled Customer Success Manager, you'll own adoption, retention, and growth across a mature portfolio of 100-200+ accounts in our Scaled segment - and you'll build the systems that make covering a book that size possible. You'll determine the right signals, automate analysis and follow-ups, and design an operating model that gives customers an excellent experience. Roughly 70% of your time will be portfolio management; the other 30% will be building the infrastructure and process behind it - working closely with RevOps, Marketing, and Engineering. This is a foundational hire. The health scoring, playbooks, and operating cadences you build will be the ones the team runs on for years, and you'll help define what "Scaled" means at Outset as the segment grows. Responsibilities • Own adoption, retention, and expansion outcomes across a portfolio of 100-200+ Scaled accounts, from onboarding through renewal • Keep usage and adoption high in a deliberately lower-touch model - leverage programs, automation, and self-service before reaching for a calendar invite • Monitor account health and usage signals to catch risk and expansion opportunities early, and prioritize where your direct time actually changes the outcome • Run renewals across a mixed model of actively managed and auto-renewing accounts, partnering with our broader CS team on commercial approach • Build and run one-to-many programs: onboarding cohorts, office hours, webinars, in-product guidance, documentation, and templated success plans • Develop our account health tracking methodology from the ground up - what signals matter, how they're weighted, how they trigger action, and how we know the scoring is predictive • Partner cross-functionally with RevOps, Marketing, and Engineering to build the infrastructure behind scaled CS: usage instrumentation, alerting, lifecycle triggers, and automated follow-up • Design the operational cadence for this segment: what regular communication looks like, how issues route to and from Product Support, and what escalation looks like. (Product Support owns ticket resolution. You own the process around it). • Build reporting in Hex and with other AI tools that gives the business real visibility into Scaled segment health, adoption, and retention • Translate portfolio-wide patterns into prioritized input for Product Qualifications • 3-7 years in customer success, account management, CS operations, sales, or lifecycle/growth, including a high-volume portfolio • Experience building scaled or digital CS programs from scratch, or working as one of the first hires in a scaled CS role • Technically fluent and self-sufficient with data: product analytics and usage, pulling data with AI tools, and building tooling with AI • Hands-on with a modern GTM and support stack. Ours is Pylon, Hex, HubSpot, Salesforce, and Claude; we lean heavily on AI day to day and expect you to as well • Excellent written and verbal communication • Series A/B/C or fast-paced SaaS experience, with a proactive, ownership-driven approach to ambiguity Nice to have • Experience defining or re-segmenting a customer base, or standing up a support model for a new segment • Background in customer marketing, growth, or RevOps • Familiarity with research operations or market research

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