Customer Success Engineer

Mindtickle; Pune District; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Mindtickle is seeking an experienced Customer Support Engineer - II to join our Customer Support Engineering team in Pune. You will troubleshoot and resolve complex issues across backend services, APIs, data platforms, UI interactions, and AI-powered components within a distributed cloud-based SaaS platform.

This role emphasizes rapid problem solving, cross-functional collaboration, and end-to-end ownership to strengthen customer trust at scale.

Qualifications

• 4+ years total experience in enterprise SaaS support.
• 2+ years in L2 support in a customer-facing role.
• Experience in supporting a multi-tenant SaaS product or platform.
• Troubleshooting AI-powered Product features.
• Knowledge of Authentication, Authorization, and Enterprise Integrations (SAML, OAuth 2.0, OpenID Connect).
• Familiarity with AWS services (Lambdas, CloudWatch, S3) and tooling.
• Monitoring/logging tool proficiency (Datadog, SumoLogic, etc.).

Responsibilities

• Own L2 support for a global enterprise SaaS platform and our AI-powered solutions.
• Respond rapidly to customer queries and drive issues to resolution.
• Provide workarounds and temporary solutions while long-term fixes are developed.
• Own support tickets end-to-end and ensure SLA compliance.
• Collaborate with Product, Engineering, QE and DevOps to remove systemic issues.
• Analyze logs, traces, and data to diagnose and resolve complex issues.
• Diagnose AI-driven components and model outputs, and surface root causes.
• Leverage observability tools for deep diagnostics and health checks.
• Build runbooks, playbooks, and diagnostic guidelines to reduce repeats.
• Contribute to automation pipelines and internal tooling for faster triage.

Skills

L2 support

SaaS troubleshooting

AWS Cloud

Go/Python debugging

AI-powered features

Multitenant architecture

SQL / Databases

REST/GraphQL APIs

Tools

Datadog

SumoLogic

FullStory

Zipy

Metabase

Job description

Who we are

Mindtickle is the leading AI-powered revenue enablement platform, helping sales teams learn faster, practice smarter, and perform at their best. We bring together onboarding, training, coaching, content, digital sales rooms, conversation intelligence, and AI role-plays into one platform so revenue teams have everything they need to build winning sellers.

Global companies, like Fortune 500 organizations, trust Mindtickle to support their revenue teams. Customers and industry analysts have also recognized us. G2 has ranked us the #1 Sales Training & Onboarding platform for 28 consecutive quarters, and Forrester has recognized Mindtickle as a Leader in revenue enablement. Mindtickle was also recognized as AI-Based Sales Solution of the Year by the 2025 AI Breakthrough Awards and has received Stevie Awards for Technology Innovation and Customer Support Excellence.

At Mindtickle, we're helping companies create high-performing revenue teams, and we're looking for people who want to help shape what's next.

Job Brief

Mindtickle is hiring an experienced Customer Support Engineer - II to join our Customer Support Engineering team and become the technical heartbeat behind a global enterprise SaaS platform and our award-winning AI solutions. In this role, you will troubleshoot and resolve complex issues in a distributed system across backend services, APIs, data platform, UI interactions, and AI-powered solutions.

This role demands a strong working knowledge of cloud fundamentals: debugging of distributed systems, querying and analyzing system data, logs, and traces, writing scripts, and resolving complex backend and frontend issues with precision and speed. You will collaborate directly with Engineering, Product, Quality Engineering, and DevOps, influencing product quality and strengthening customer trust at scale.

If you thrive in solving hard technical problems, working with cross-functional teams, excel in high-stakes scenarios, owning outcomes end-to-end, and delighting customers, this role offers unparalleled influence and impact that few L2 positions can match.

Key Responsibilities

• Operational Support and Issue Ownership
• Respond rapidly to customer queries and drive issues to resolution.
• Provide timely workarounds and temporary solutions to customers for known issues, ensuring minimal disruption while long-term fixes are being implemented.
• Own support tickets end-to-end, ensuring SLA compliance and serving as an escalation point.
• Work cross-functionally with Product, Engineering, QE and DevOps to eliminate systemic issues and reduce ticket volume.
• Work independently with strong planning and task management skills.
• Use data analysis to make actionable, data-driven recommendations.
• Technical Investigation, Diagnostics and Root Cause Analysis
• Diagnose, reproduce, and debug complex issues across backend services, APIs, data flows, UI behavior, and AI-driven components.
• Capture and analyze browser logs, HAR files, network traces, and client-side errors using modern observability tools.
• Analyze AI-driven decision paths, validate model outputs, and identify anomaly or drift patterns.
• Troubleshoot integrations with external systems, authentication flows, and third-party platforms.
• Leverage tools such as Zipy, DataDog, SumoLogic, FullStory, Mixpanel, and Metabase for deep diagnostics.
• Identify, diagnose, and surface real-world failure modes in AI workflows, partnering with Product and Engineering to address root causes and deliver more resilient, trustworthy AI experiences.
• Provide configuration guidance and technical solutions to resolve customer issues across environments.
• Perform structured impact and severity analysis before escalating to Engineering.
• Establish repeatable auditing frameworks to bring consistency to investigations.
• Knowledge Building, Documentation and Enablement
• Build and maintain high-quality runbooks, playbooks, troubleshooting guides, and diagnostic frameworks to reduce repeat incidents and improve response speed.
• Convert solved issues into product and documentation improvements for L1, customers, Product, and Engineering.
• Drive internal knowledge sharing by conducting deep dive sessions and post-incident walkthroughs.
• Communicate solutions clearly to customers and internal teams, translating complex root causes into simple explanations.
• Scripting, Tooling and Automation
• Write scripts (Bash/Python/SQL) to automate log extraction, data analysis, replication of issues, and health checks.
• Create lightweight internal utilities to accelerate diagnostics and reduce manual investigation time.
• Contribute to building support automation pipelines and AI-assisted troubleshooting tools.

Requirements

Experience and Background:

• 4+ years of overall experience and 2+ years of L2 technical support experience in enterprise SaaS platforms/products (AWS Cloud preferred) in a customer-facing role.
• Proven track record handling technical issues in production environments, supporting distributed systems.
• Experience in supporting a multi-tenant SaaS product or platform; familiarity with multitenant architecture, integrations, and configuration management.
• Troubleshooting AI-powered Product features
• Hands-on experience troubleshooting AI-powered features. Able to distinguish model issues from data, configuration, or system-level failures with precision.
• Knowledge of Authentication, Authorization, and Enterprise Integrations
• SSO protocols (SAML, OAuth 2.0, OpenID Connect).
• Identity and Access Management (IAM) frameworks.
• Multi-Factor Authentication (MFA) and Role-Based Access Control (RBAC)
• Just-in-time (JIT) provisioning and SCIM (System for Cross-domain Identity Management).

Backend and Systems skills:

• Strong understanding of database concepts; proficient in SQL for querying, analysis, and data validation. Experience with relational and NoSQL systems (e.g., PostgreSQL, MySQL) and ability to debug data inconsistencies and performance issues, and hands-on experience in Snowflake.
• Experience querying and analyzing logs, identifying patterns (tools like Datadog, Loki, Sumologic, Splunk, Grafana).
• Proficient in debugging modern web applications across backend (GoLang/Python) and API layers (REST, GraphQL; gRPC).
• Familiarity with AWS services including, Lambada, CloudWatch, S3 as well as experience with Kafka, Kubernetes, and Snowflake.

Frontend and client side skills:

• Proficient in debugging React applications.
• Capture and analyze client logs (HAR files, network waterfalls, browser dev tools, net-export, wireshark).
• Experience with monitoring tools (Zipy, Fullstory) and BI/analytics tools (Mixpanel, Metabase).
• Customer Relationship and Soft Skills:
• Strong written, verbal communication skills and empathy when interacting with customers.
• Ability to build and maintain trusted relationships with customers and internal teams.
• Maintains a calm and methodical approach in high pressure situations.
• Proactive, detail oriented, thrives in ambiguity, adapts quickly to changing priorities, and manages multiple concurrent issues in a fast paced environment.
• Analyzes and prioritizes issues based on SLAs and customer impact.

Good to have

• Familiarity with prompt engineering (helpful for L2 support on AI-powered products).
• Understanding of building or configuring AI agents, including workflows, task automation, and basic agent behavior troubleshooting.
• Experience in Mobile App troubleshooting on Android and iOS.

Our Culture & Values

We hire builders, people who move fast, learn from failure, and use AI as a default part of how they work. Our values- Delight Your Customers, Act as a Founder, and Better Together- aren't wall decor. They're how we make decisions here.

Growth at Mindtickle looks like owning more, not just doing more. Your scope will outgrow your job title if you want it to. You'll work alongside people who've scaled revenue tech globally, get direct feedback from leaders invested in your development, and take on challenges before you feel ready because that's how the best growth happens.

Our team spans 5+ countries, backgrounds, and perspectives. We believe the best products are built by people who bring different ways of seeing the same problem - and everyone has a seat at that table.

We hire for potential. At Mindtickle, you can be yourself, build your career, and do the best work of your life alongside people who genuinely want to see you succeed.

We believe the best products are built by teams with different backgrounds, experiences, and ways of seeing the world. We welcome every unique identity, and we mean that.