---
title: 'Senior Customer Experience Engineer at Hevo Data'
canonical: 'https://feeny.ai/job/senior-customer-experience-engineer-hevo-data-pune-fxfhv52xgpdg'
type: 'job'
last_seen: '2026-10-19'
---

# Senior Customer Experience Engineer at Hevo Data

- **Company:** Hevo Data
- **Location:** Pune, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.lever.co/hevodata/bfdebed3-3762-4854-a1e9-01bda6bebe09

## Job description

## About Hevo

Hevo Data is a no-code data pipeline platform that helps companies consolidate data from multiple sources for faster analytics. Our fully managed pipelines let data teams move data from 150+ sources (databases, SaaS applications, cloud storage, SDKs, streaming services) into warehouses and lakes, all without writing code. Over 2,000 data teams in 45+ countries use Hevo, including DoorDash, Foot Locker, Arhaus, and Santander. We’re top-rated in the G2 Data Pipeline category, backed by Sequoia Capital, Qualgro, and Chiratae Ventures, and operate out of San Francisco and Bangalore.

## Role Summary

The Senior Customer Experience Engineer takes ownership of the CX team's most complex, ambiguous, and high-impact customer issues, leading technical investigations through to resolution while keeping customers clearly informed throughout. With deep specialization in JDBC-based sources and integrations, the role acts as the technical bridge between customers, CX, Product, and Engineering. Beyond resolving individual tickets, this role is expected to strengthen support processes, expand the use of AI and automation, build technical depth across the team, and mentor other CX engineers — pushing the team toward greater speed, accuracy, and consistency in service delivery.

## Key Responsibilities

Own complex, ambiguous, and high-impact customer issues from investigation through resolution, with clear and proactive customer communication throughout. Act as the technical escalation point for L1 and Associate CXEs, offering troubleshooting guidance and helping the team avoid unnecessary Engineering escalations. Diagnose issues using SQL, logs, API responses, database behavior, and product internals — going beyond surface-level troubleshooting. Partner with Engineering and Product on complex issues by providing strong technical context, reproduction steps, impact assessment, and investigation findings. Spot recurring issues and work with Engineering/Product to drive permanent fixes, rather than repeatedly patching the same symptoms. Participate in — and where appropriate, lead — customer-impacting incidents and high-priority escalations. Drive improvements to support processes, tooling, automation, and AI-assisted workflows that cut resolution time, reduce repeat issues, and lower manual effort. Build and own technical depth in areas such as JDBC integrations, databases, APIs, and data pipelines, acting as the team's internal subject-matter expert. Mentor Associate CXEs and teammates through case reviews, technical coaching, and knowledge sharing, and show broader team citizenship — covering escalations, contributing to shared SOPs/KBs, and flagging process gaps beyond your own scope. Own and continuously improve technical documentation, SOPs, KBs, and enablement material for the wider team. What Success Looks Like Consistent ownership and resolution of complex, high-impact technical issues, with strong customer communication throughout. Low rate of avoidable escalations, and high-quality escalations when Engineering involvement is genuinely required. Fewer recurring issues and repeat contacts, with reduced dependency on Engineering over time. Visible improvements delivered through process, tooling, AI, and automation initiatives. Demonstrated technical enablement and mentoring impact on Associate CXEs and teammates. Effective, low-friction collaboration with Engineering and Product on customer-impacting issues. Strong ownership of incidents, escalations, and designated technical knowledge areas. Required Skills & Experience Strong grasp of cloud technologies, databases, and integrations, with hands-on experience troubleshooting applications end-to-end. Strong SQL skills and hands-on debugging experience across databases, applications, and integrations. Solid knowledge of JDBC-based integrations and the connectivity concepts behind them. Working knowledge of data warehousing, ETL, REST APIs, webhooks, and distributed systems fundamentals. Familiarity with Java or another object-oriented programming language. Excellent troubleshooting, debugging, research, and problem-solving abilities. Solid track record in technical product support, including email-based support operations. Experience producing technical documentation and enabling other technical team members. Strong customer communication skills, with the ability to explain complex technical issues clearly. Ability to independently prioritize and drive complex issues across multiple teams.

## Preferred Qualifications

3–6 years of experience in technical product support, application support, database/integration support, or a similar technical role. 1+ years of hands-on experience troubleshooting JDBC sources or integrations. DBA experience with PostgreSQL, MySQL, SQL Server, Oracle, or similar databases. Experience supporting B2B SaaS, integration, or data infrastructure products. Experience handling customer-impacting incidents and complex technical escalations. Experience with ETL or data integration platforms.

## About Hevo Data

## Company Overview
- **One-liner**: Hevo Data provides an automated, no-code data pipeline platform that enables companies to ingest, transform, and load data from 150+ sources into any data warehouse or destination.
- **Entity Type**: Private (Series B, raised $43M total)
- **Headquarters**: San Francisco, California, United States (with major offices in Bengaluru and Pune, India)
- **Founded**: 2017
- **Founders**: Manish Jethani (Co-Founder & CEO)

## Core Business
- **Primary industry**: Data Infrastructure / ETL (Extract, Transform, Load) / Data Integration
- **Target customers**: B2B – mid-market and enterprise companies that need to unify data from multiple SaaS, database, and file storage sources for analytics.
- **Mission or purpose statement**: “Build Data Platform for Data-Driven People” – helping companies access, model, and consume petabytes of data in real-time.

## Products & Services
- **[Hevo Data Platform](https://hevodata.com)**: A fully managed, no-code data pipeline service that supports 150+ pre-built connectors, real-time CDC (Change Data Capture), schema drift handling, and dbt-based transformations. Available as a SaaS platform.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Annual Revenue – **$46.9M** (2024, per Latka); conflicting estimate of $5M (LinkedIn, likely outdated). **Total Funding**: $43M across 4 rounds (Seed in 2017, Seed in 2019, Series A in 2020, Series B in 2021).
- **Notable Investors/Partners**: Sequoia Capital India (led $30M Series B), with additional investors from earlier rounds. Recognized as a partner by Snowflake and Google Cloud.
- **Growth Signals**: 
  - Processes **1PB+ data monthly**; trusted by **2,000+ companies** worldwide.
  - Headcount: ~182 (LinkedIn, 2026) vs ~242 (Latka, 2026) – conflicting reports, but indicates a lean team.
  - Expanding into new geographies (San Francisco, Bengaluru, Pune, Singapore, Germany) and building new products.
  - Revenue grew from $31.2M (2023) to $46.9M (2024) per Latka.

## Competitive Advantages
- **Zero-code, zero-maintenance**: Set up pipelines in minutes without engineering overhead; automatically handles schema drifts, API changes, and record failures.
- **Scalability**: Handles massive data volumes (10x+ growth) without infrastructure changes, with high-throughput CDC replication.
- **150+ pre-built connectors** and custom connector development service.
- **End-to-end ELT** – combines extraction, loading, and dbt-based modeling in one platform with full pipeline observability.

## Strategic Focus
- Continue building “Data Infrastructure as a Service” for hundreds of thousands of companies.
- Invest in new product lines, geographic expansion, and open-source contributions.
- CEO describes the company as “only 2% done,” emphasizing a long‑term growth trajectory.

## Why Work Here
- **Culture**: Data‑driven, engineering‑heavy, with a “day one” mentality. Strong commitment to open‑source (engineers encouraged to open‑source components).
- **Work policy**: Hybrid/office‑based – roles in San Francisco, Bengaluru, and Pune are listed as on‑site; some “Worldwide” remote options may exist but are not common.
- **Notable perks**: Competitive salaries (e.g., Senior Software Engineer ~INR 4.1M/year), strong employer rating (4.1/5 on LinkedIn) with high marks for compensation (4.2) and career growth (4.1).
- **Engineering culture**: Focus on low‑level data infrastructure, real‑time pipelines, and building scalable systems. Alumni have moved to top tech companies (Google, Confluent, Adobe, Fivetran).

## Sources
1. [hevodata.com](https://hevodata.com)
2. [jobs.lever.co/hevodata](https://jobs.lever.co/hevodata)
3. [linkedin.com/company/hevodata](https://www.linkedin.com/company/hevodata)
4. [getlatka.com/companies/hevo-data](https://getlatka.com/companies/hevo-data)

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