Customer Success Manager

Posted 3 Days Ago
Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Junior
Artificial Intelligence • Marketing Tech • Software • Conversational AI
The Role
Own B2B customer relationships from onboarding through adoption, renewal, and expansion. Configure product workflows, coordinate integrations, guide go-live, review usage and campaign performance, conduct business reviews, manage risks, and drive measurable customer outcomes. Build practical AI-powered tools or workflows using LLMs, while partnering with Product, Sales, and Support to resolve issues and improve the customer experience.
Summary Generated by Built In

Location: Bengaluru · Full-time · Hybrid
Docket’s AI Marketing Agent helps B2B companies engage website visitors, understand buyer intent, and turn conversations into sales opportunities. We’re looking for a Customer Success Manager who can own customer relationships and help customers implement and get measurable value from the product.
What you’ll do

  • Own a portfolio of B2B customers from onboarding through adoption, renewal, and expansion.

  • Lead product setup and rollout: understand customer goals, configure workflows, coordinate integrations and stakeholders, and guide customers through go-live.

  • Review usage, conversations, campaign performance, and account health; turn those insights into specific actions that improve outcomes.

  • Run customer check-ins and business reviews, manage risks, and communicate progress clearly to marketing and revenue leaders.

  • Use AI tools such as Claude, GPT, or other LLMs to build practical workflows, agents, or internal tools that make your work more effective.

  • Partner with Product, Sales, and Support to resolve issues and improve the customer experience.

What we’re looking for

  • At least 2 years of direct customer-facing experience in customer success, account management, or a closely related role, with ownership of customer outcomes—not solely ticket-based support.

  • Hands-on experience using an LLM to build a working tool, agent, or workflow. No-code builds are welcome; Python or a software-engineering background is not required.

  • Experience with customer onboarding, product adoption, account reviews, and renewal or expansion conversations.

  • Comfort learning and implementing a technical SaaS product, working with cross-functional teams, and using data to diagnose problems.

  • Excellent written and verbal communication skills in English, with the ability to present to stakeholders and document customer interactions clearly.

  • Ability to work in a hybrid setup in Bengaluru.

Especially valuable: Experience in digital marketing, demand generation, martech, conversational AI, or B2B SaaS; and direct ownership of product configuration, integrations, or customer go-lives.
Interview process: Please be ready to demonstrate a real AI tool or workflow you built and explain the problem it solves, the LLM you used, your approach, and how you use or evaluate the result.

Skills Required

  • At least 2 years of direct customer-facing experience in customer success, account management, or a closely related role
  • Hands-on experience using an LLM to build a working tool, agent, or workflow
  • Experience with customer onboarding, product adoption, account reviews, and renewal or expansion conversations
  • Ability to learn and implement a technical SaaS product
  • Experience working with cross-functional teams
  • Ability to use data to diagnose problems
  • Excellent written and verbal communication skills in English
  • Ability to present to stakeholders and document customer interactions clearly
  • Ability to work in a hybrid setup in Bengaluru
  • Experience in digital marketing, demand generation, martech, conversational AI, or B2B SaaS
  • Direct ownership of product configuration, integrations, or customer go-lives
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The Company
42 Employees
Year Founded: 2023

What We Do

Docket is an AI-powered inbound demand platform for B2B revenue teams. Its always-on marketing agent engages website visitors in real-time conversations, answers product questions from an approved sales knowledge base, qualifies buyer intent, routes prospects to the appropriate representative, books meetings, and synchronizes conversation context with CRM systems. The company helps businesses convert existing website traffic into qualified pipeline and more effective sales opportunities.

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