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Job Description & How to Apply Below
Bright Edge
Location:
Bengaluru / Mumbai / Delhi / Pune (Remote)
Experience:
5–9 years
Timings - EST / PST (4:30 PM to 1:30 AM IST)
About the Role
Bright Edge is building its Customer Success team in India as part of a high-impact global expansion. This is a greenfield opportunity to work with enterprise customers and play a key role in driving onboarding, adoption, and long-term value from our AI-powered SEO platform. As a Customer Success Manager (SMA), you will manage enterprise, multi-stakeholder accounts, ensuring customers achieve measurable outcomes and continue to grow with Bright Edge.
Responsibilities
Own end-to-end customer lifecycle: onboarding, adoption, retention, and renewals
Drive platform adoption and value realization across enterprise accounts
Build strong relationships with C-suite, marketing leaders, and analysts
Deliver strategic guidance on SEO, digital marketing, and analytics usage
Partner with customers to define success metrics and track outcomes (e.g., NPS, QRR)
Conduct training sessions, QBRs, and enablement workshops
Identify expansion opportunities and mitigate churn risks
Collaborate cross-functionally with Sales, Product, and Support teams
Key Metrics of Success
Net Promoter Score (NPS) > 30
Customer engagement cadence ≥ 95%
Quarterly Recurring Revenue (QRR) growth and retention
Qualifications
5–9 years of experience in Customer Success / Technical Account Management (SaaS)
Proven experience managing enterprise or multi-stakeholder accounts
Strong background in Mar Tech, AdTech, or Digital Analytics
Experience owning onboarding through renewal cycles
Required Skills
Hands-on experience with:
Adobe Analytics / Google Analytics (GA4) / Looker Studio
Understanding of: APIs, webhooks, and data integrations (ETL concepts)
SEO fundamentals (crawl, indexing, ranking)
Preferred Skills
Experience with tools like Tableau, Power BI, Domo
Familiarity with SEO platforms (e.g., Screaming Frog, Oncrawl)
Experience with CRM/CS tools like Salesforce or Gainsight
Exposure to AI/ML-driven products
Core Competencies
Strong consultative communication skills (executive to technical audiences)
Proactive, ownership-driven mindset
Ability to simplify complex technical concepts
Passion for customer education and enablement
Thrives in a fast-paced, ambiguous (greenfield) environment
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