Sr. Customer Success Manager
About the role
At Avoma, Customer Success is not about managing accounts – it’s about owning customer outcomes at scale. As a Senior Customer Success Manager, you will operate as a strategic partner, systems builder, and AI-enabled operator responsible for ensuring customers achieve measurable business results using Avoma.
Responsibilities
- Define, track, and deliver against clear success metrics tied to customer business goals
- Use product usage data, AI insights, and customer signals to proactively identify risks and opportunities
- Ensure customers achieve time-to-value quickly and consistently
- Design and implement scalable success programs using AI, workflows, and automation
- Reduce manual effort by building playbooks that run themselves
- Leverage tools like Avoma, CRM, and CS platforms to create a data-driven success engine
- Lead onboarding, adoption, value realization, renewal, and expansion
- Run high-impact business reviews (QBRs/EBRs) focused on ROI and strategic outcomes – not activity
- Act as a trusted advisor to executive stakeholders
- Translate customer conversations, usage patterns, and feedback into actionable product insights
- Influence product, GTM, and positioning using structured, data-backed input
- Identify patterns across customers to inform scalable improvements
- Create and refine playbooks, frameworks, and processes for a growing CS team
- Operate effectively in ambiguity and help define what “great” looks like
- Contribute to a culture of ownership, speed, and outcomes
Requirements
- 7-12 years in Customer Success, Account Management, or similar customer-facing roles in SaaS
- Proven track record of driving retention, expansion, and customer outcomes
- Experience working with mid-market and/or enterprise customers
- Comfortable using AI tools, automation, and data to improve efficiency and outcomes
- Experience with CS platforms, CRM (e.g., HubSpot), and analytics tools (e.g., Amplitude)
- Ability to turn data into insights and action
- Thriving in ambiguity and can create structure from scratch
- Experience designing playbooks, processes, and scalable programs
- Bias for action – comfortable rolling up your sleeves to get things done
- Strong ability to engage and influence senior stakeholders
- Skilled at translating product capabilities into business value and ROI
- Clear, structured communicator (written and verbal)
- Experience scaling Customer Success in a high-growth, early-stage company
- Deep understanding of AI-driven workflows or conversational intelligence tools
- Track record of building automation-first or low-touch CS models
Qualifications
- Clear, structured communicator (written and verbal)
- Experience scaling Customer Success in a high-growth, early-stage company
- Deep understanding of AI-driven workflows or conversational intelligence tools
- Track record of building automation-first or low-touch CS models
Skills
- Clear, structured communicator (written and verbal)
- Experience scaling Customer Success in a high-growth, early-stage company
- Deep understanding of AI-driven workflows or conversational intelligence tools
- Track record of building automation-first or low-touch CS models
Benefits
- Medical
- Dental
- Vision
- 401(k)
- Generous PTO
Pay
- $120K–$150K base based on years of experience + 20% variable (OTE: $150K–$187.5K)
- Variable tied to NRR, expansion, and customer outcomes – onboarding, transformation projects, etc.
Schedule
- This is an in-office role based in San Jose, CA (4 days/week)
Culture note
We value craft, ownership, and high-quality execution—this is a high-performance team that cares deeply about outcomes, not activity.
About Avoma
Avoma is an AI-powered meeting assistant and conversation and revenue intelligence solution built for customer-facing teams. We automatically capture, summarize, and analyze conversations to unlock insights that drive better decisions, faster execution, and stronger customer relationships.
Company Information
We are a venture-backed, fast-growing startup with 1,200+ paying customers, building at the intersection of AI, productivity, and revenue intelligence.