Responsibilities
- Lead a team of Senior Customer Success Managers – provide formal management, performance coaching, and career development for high-performing CSM professionals.
- Build and scale the enterprise CS function – define team structure, hiring strategy, and organizational capabilities to support company growth.
- Drive team performance – establish individual and team KPIs, conduct regular 1:1s, performance reviews, and manage talent development initiatives.
- Resource allocation and planning – manage team capacity, account assignments, and strategic resource deployment across the enterprise portfolio.
- Own enterprise territory strategy – manage a multimillion portfolio across your team, with personal oversight of 3-5 $1M+ strategic accounts.
- Executive relationship management – serve as the primary escalation point and strategic advisor for C-level and SVP stakeholders across the enterprise portfolio.
- Cross-functional orchestration – lead complex, multi-quarter engagements involving Product, Engineering, Data, Legal, and Sales teams.
- Strategic account planning – develop and execute multi-year success plans aligned with client business transformation initiatives.
- Define CS strategy and methodology – collaborate with VP of Customer Success to establish enterprise customer success frameworks, playbooks, and best practices.
- Process optimization and scaling – design and implement scalable processes for onboarding, adoption, renewal, and expansion across enterprise accounts.
- Cross-departmental alignment – partner with Sales, Product, and Marketing leadership to ensure seamless customer experience and revenue optimization.
- Data-driven insights – establish reporting frameworks and business intelligence capabilities to drive strategic decision-making.
- Drive expansion strategy – identify and execute systematic approaches to account growth, including whitespace analysis and expansion planning.
- Renewal excellence – oversee complex, high-stakes renewal negotiations and ensure predictable revenue retention.
- Commercial partnership – collaborate closely with Sales leadership on enterprise deals, transitions, and strategic account development.
- Team Performance: Drive team to achieve >120% collective NDR across managed enterprise portfolio.
- Team Development: Achieve <10% voluntary turnover and 90%+ promotion readiness scores for direct reports.
- Process Excellence: Implement scalable processes that improve team efficiency by 25%+ annually.
- Portfolio NDR: Maintain >125% NDR across the $2M+ combined enterprise portfolio.
- Strategic Account Growth: Achieve >$500K net expansion annually from personal strategic accounts.
- Executive Engagement: Conduct bi-annual strategic business reviews with 100% of $1M+ accounts, including C-level participation.
- Renewal Excellence: Maintain >98% gross dollar retention across enterprise portfolio.
- Process Improvement: Deliver 2+ major process improvements annually that enhance customer experience and operational efficiency.
- Strategic Initiatives: Lead 1-2 company-wide initiatives per year that drive customer-centric transformation.
Requirements
- 7+ years in Customer Success roles with minimum 3+ years managing Customer Success teams, preferably in enterprise B2B SaaS environments.
- Proven track record building and scaling CS organizations – experience growing teams from 3-5 to 10+ CSMs with demonstrated retention and performance outcomes.
- Enterprise account management expertise – personal experience managing $1M+ ARR accounts and leading complex, multi-stakeholder engagements.
- People leadership excellence – demonstrated ability to hire, develop, and retain top CS talent with measurable performance improvements.
- Executive presence and gravitas – comfortable presenting to and influencing C-level executives and boards on strategic initiatives and business outcomes.
- Data analytics and business intelligence expertise – specific emphasis on Data Analytics, Cloud, Collaboration, or Identity solutions with ability to drive technical and business value conversations.
- Commercial sophistication – experience with complex contract negotiations, multi-million dollar renewals, and strategic partnership development.
- Cross-functional leadership – proven ability to influence and coordinate across Product, Engineering, Sales, and Marketing teams without direct authority.
- Deep domain knowledge in DaaS, SaaS, and IaaS business models (TV and Streaming), including data collaboration, identity resolution, and cloud ecosystems.
- Scaling expertise – experience managing concurrent portfolios of 10+ enterprise accounts totaling $2M+ in ARR.
- Process and systems thinking – demonstrated ability to design and implement scalable customer success operations and methodologies.
- Bachelor's degree required; MBA strongly preferred.
- Customer Success or Account Management certifications (Gainsight, Totango, or equivalent) preferred.
- Prior Director/VP experience in Customer Success, Account Management, or related customer-facing functions.
- Industry expertise in adtech/martech, television/media, or data analytics ecosystems.
- Technical background with ability to engage in deep technical conversations with engineering and data science teams.
- Consulting or professional services experience in enterprise technology implementations.
Top Skills
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.



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