Jobs›Customer Success, Bangalore

Customer Success Engineer

Postman · Bangalore
PayPay not listed
WhereBangaloreKarnataka
TypeFull time
Posted11 Nov4 days ago, from the company site
Kaam checked
No fee, deposit or pay-to-apply signs
Good spoken and written English expected
Day work
No vehicle or licence needed
About this job

Who Are We?

Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster.

The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman.

P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman.

About the Role

We are looking for a Customer Success Engineer who is fundamentally a developer — someone who finds genuine excitement in engineering new solutions, enjoys rolling up their sleeves in customer environments, and brings both technical depth and a consulting mindset to every engagement.

This is not a support or relationship management role. You will work directly in customer codebases, CI/CD pipelines, and API platforms to get things working and leave them in better shape than you found them. You will own the technical journey from onboarding through platform activation and be the customer's most trusted technical advocate throughout.

You will be joining a small, high-impact team covering India and APAC. The work is hands-on, fast-moving, and consequential.

What You'll Do

Customer Onboarding and Platform Activation

Drive enterprise customers from contracts close to a fully activated developer platform. Own the technical setup: identity and access controls (SSO, SCIM, RBAC), workspace configuration, Git integration, CI/CD pipeline onboarding, and API catalog setup. Ensure customers have a governed foundation in place within 30–60 days.

SDLC Automation and CI/CD Integration

Build automated pipelines that run contract tests, governance checks, and artifact syncs on every commit. Integrate platform tooling into standard CI/CD systems — GitHub Actions, GitLab CI, Azure DevOps, Jenkins. Leave behind documented patterns the customer team can own and extend.

Security and Identity

Configure and troubleshoot enterprise authentication and identity controls — SSO (SAML, OIDC), SCIM provisioning, OAuth 2.0, API key and token management, secrets vaults, and RBAC. Communicate credential handling clearly to security and compliance stakeholders.

AI and Agentic Platform Activation

Help customers adopt AI-powered and agentic platform capabilities. Demonstrate and align how well-governed APIs and automation layers reduce token waste, improve agent accuracy, and enable safe AI tooling at scale. Connect platform features to real engineering productivity outcomes.

Technical Consulting and Stakeholder Engagement

Run structured technical discovery. Define scope, success criteria, and delivery milestones. Communicate clearly with both engineering teams and executive stakeholders. Translate implementation outcomes into measurable business value — velocity, quality, cost, and risk reduction.

Engineering Quality Awareness

Bring knowledge of engineering quality frameworks — DORA metrics, shift-left testing, QA maturity models, contract testing, and governance scoring. Use this lens to show customers where current practices create risk and where automation creates measurable improvement. Connect the platform to outcomes engineering leaders care about: deployment frequency, change failure rate, mean time to recovery, and test coverage.

Customer Self-Sufficiency

Build reusable assets, templates, and playbooks. Leave every engagement with documented ownership and the customer team capable of running and extending what you built together.

Thought Leadership and Voice of the Customer

When you encounter a friction point — a missing pattern, a recurring customer pain, a product gap — document it so the next person does not have to solve it from scratch. Build reusable knowledge: runbooks, root-cause logs, and playbooks that make the whole team faster. Bring recurring customer challenges to Product and Engineering with enough specificity to drive a real fix — so a problem one customer faces today does not become a problem every customer faces next quarter.

About You

  • 10+ years in a technical customer-facing role — Customer Success Engineer, Solutions Engineer, Solutions Architect, or Implementation Engineer
  • Development or engineering background: you have built things with code, not just configured tools. Prior hands-on development experience is a strong differentiator.
  • Hands-on CI/CD experience: you have personally built, modified, or debugged pipelines using tools such as GitHub, GitLab CI, Azure DevOps, Jenkins, or CircleCI
  • Strong API fluency: REST APIs, API specifications, authentication flows (OAuth 2.0, SAML, OIDC, JWT, API keys), and automated testing
  • Enterprise identity and security knowledge: SSO, SCIM, RBAC, secrets management, and AuthN/AuthZ patterns
  • Fluency in one hyperscaller AWS/Azure/GCP etc

Technical depth

  • Scripting and automation in Python, Node.js, or similar — including calling APIs and building workflow automations
  • Cloud and infrastructure reasoning: containers, permissions, secrets, and deployment environments
  • Familiarity with engineering quality frameworks: DORA metrics, contract testing, shift-left QA, and test coverage models
  • Ability to build beyond a product's UI: scripts, integrations, pipelines, and tooling that solve real customer problems

AI and agentic experience

  • Practical experience using LLMs or generative AI tools in technical work — scripting, automation, documentation, or integration
  • Familiarity with agentic frameworks, MCP, or simil

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