Common Room
SaaS
SeniorEnterpriseCustomerSuccessManager
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Enterprise Customer Success Manager at Common Room. Skills: Customer Success, Account Management, Consulting, AI GTM Platform. Own portfolio of Enterprise accounts. Serve as strategic partner”
What You'll Achieve.
Drive product adoption; Drive value visibility; Drive retention; Drive expansion; Drive customer progression; Build genuine executive relationships; Make customers stay and grow; Achieve renewal; Achieve expansion
Industry & Context.
Root cause analysis; Troubleshooting; Consulting
What They're Looking For.
Must Have
5–8 years Customer Success, 5–8 years Strategic Account Management, 5–8 years management consulting, Portfolio of named Enterprise accounts
Nice to Have
Salesforce fluency, Gong or equivalent call review experience
What You'll Do.
Own portfolio of Enterprise accounts
Serve as strategic partner
Maintain success plan for every account
Update success plan after QBR
Build multi-threaded relationships
Identify relationship gaps
Develop expertise in Common Room
Consult on use-case design
Consult on GTM workflow architecture
Consult on platform configuration
Develop fluency in MCP capabilities
Develop fluency in CLI capabilities
Speak confidently to use cases
Speak confidently to stakeholder fit
Speak confidently to business outcomes
Recognize customer adoption maturity
Drive progression as part of expansion
Translate technical questions
Translate integration challenges
Partner with CS Engineering on escalations
Handle Tier 1–2 technical questions
Advise on Common Room connections
Advise on system amplification
Deliver partnership health summaries
Deliver value realization reports
Drive platform adoption
Tie customer goals to outcomes
Drive mitigation plans
Deliver account-specific recommendations
Tie recommendations to success criteria
Partner with Account Managers on expansion
Connect adoption trends to upsell
Connect adoption trends to cross-sell
Include growth narrative in QBRs/EBRs
Connect MCP outcomes to metrics
Connect CLI outcomes to metrics
Represent voice of the customer
Surface patterns to Product
Surface patterns to Marketing
Collaborate with Implementation Services
Ensure intelligence architecture is captured
Partner with CS Engineering
Know when to escalate
Stay in the loop on escalations
Consult on configuration trade-offs
How You'll Work.
Team & Collaboration
Account Management team; CS Engineering; Implementation Services; Product; Marketing
Communication Scope
Executive presentations; Client meetings; EBRs; QBRs
Full Job Description
ABOUT US Common Room is the AI GTM Platform that empowers your teams with AI agents built on complete buyer intelligence. We unify every signal across the full buyer journey into one continuously-updated, person-level view—so your team knows exactly who to target and why, what to say, and when to reach out. GTM teams are drowning in tool sprawl, fragmented data, and AI that doesn't deliver. Common Room replaces your disconnected stack with one platform built for scale and complexity. We bring together data, orchestration, and execution in one system built for orgs of 75-1000+. We've raised over $50 million from top-tier investors including Greylock, Index, and Madrona, and we're backed by 25+ operators from companies like Figma, Stripe, Airtable, Slack, Notion, Loom, and more. WHY WE NEED YOU Our customers are the engine of our business, and we're building a Customer Success organization where every interaction is intentional, every account has a documented success story, and every renewal is anchored in outcomes. We're hiring a Senior Enterprise Customer Success Manager to own a portfolio of strategic accounts and be the person who makes Common Room undeniably valuable to them. You'll be a proactive partner: deeply fluent in each customer's business, driving product adoption and value visibility, and working shoulder-to-shoulder with our Account Management team on retention and expansion. Common Room is evolving from a platform teams log into to the intelligence layer that AI systems, automation pipelines, and GTM workflows run on. Our CSMs need to evolve with it. That means consulting on GTM architecture: mapping customer workflows, identifying where AI-assisted execution fits, and guiding customers along a maturity path from UI-first adoption to MCP-embedded rep workflows to CLI-automated production pipelines. You'll need to earn technical credibility fast. Our best CSMs can consult on use-case design, integration architecture, and platform configuration as fluen
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