--- title: 'Technical Lead Manager at Hevo Data' canonical: 'https://feeny.ai/job/technical-lead-manager-hevo-data-bengaluru-f56p7v1wqytq' type: 'job' last_seen: '2026-09-07' --- # Technical Lead Manager at Hevo Data - **Company:** Hevo Data - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-02 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/hevodata/c6b90bb1-d645-4bb5-9f87-44aec3dd2783 ## Job description Read this first You're probably already doing most of this job without the title. People bring designs to you before they build, your review is the one that catches things, and when something breaks late at night you're on the thread whether or not you're on-call. Juniors ask you about their careers even though nobody made that your job. What we'd like to add is a team that's actually yours, a real say in who joins it, and the authority to decide how your part of the system gets built. TLM is the step before Engineering Manager and we'd rather say that plainly than pretend otherwise. In 12 to 18 months you're either running a bigger team as an EM or you've worked out that you'd rather go deep, in which case Staff and Principal are open. Either way you won't be stuck. You'd be running an AI-native team - You'll build the AI connector framework. The system that generates connectors, tests them, and repairs them on its own when a source system changes underneath. - AI runs through every workflow, not just the product. Design, review, testing, production debugging. Teaching your team to work this way is part of the job. - Real scale behind it. 100 billion records and petabytes of data every month, 2,000+ customers, and 150+ source systems that change their APIs without warning. - The day job changes. Your engineers write specifications, evaluations and guardrails as much as application code, and you'll be judging output that isn't fully predictable. Few engineers in India are paid to do this yet. ## What you'll actually be building Platform services and database connectors that carry real weight. You'll lead the development of highly scalable, reliable and secure platform services and database connectors that power mission-critical data pipelines for thousands of enterprise customers. When a connector breaks, someone's revenue reporting is wrong that morning and they know it. Pipelines into the modern data stack. These pipelines connect to warehouses like Snowflake, BigQuery and Databricks, as well as data lakes like Apache Iceberg. Each destination has its own semantics, its own failure behaviour and its own performance envelope, and your team owns getting all of them right. Observability, reliability, security and auditability as defaults. These get embedded into everything your team ships rather than bolted on when a customer asks. You set that standard and you hold the line on it. The hard problems underneath. Exactly-once delivery when any component can fail. Multi-tenancy where one customer's load never touches another's. Schema changes arriving mid-flight from a source system that gave no notice. None of these get solved once. ## What's in it for you You get to decide. Architecture in your area, what the framework does and doesn't do, where AI is the right tool and where it honestly isn't, and the hiring bar for your team. You won't be writing recommendations and waiting for someone else to approve them. Your scope grows as fast as the company does. Engineering is up 30 percent in the last four to five months and that continues. Start with five engineers and you'll be running a considerably bigger team by the time you're done. That isn't on offer at a company standing still. You get direct access to engineering leadership. No manager three levels down carrying your work upward. You'll be in the room when the calls get made, which is the fastest way to learn how to make them yourself. You don't have to stop writing code. Roughly 60 percent of your week stays technical. Nobody here is going to quietly take the code away from you over four quarters. You'll learn something most engineers can't yet. How to run a team where AI is embedded in the work rather than sitting next to it. In two years that will be expected of every engineering leader, and most people will pick it up late and secondhand. What a good first year looks like - The framework is generating production connectors, and the quality bar is set by evaluations you designed - Shipping a new connector takes a fraction of the time it does today, and you can prove it with a number - You've hired two or three engineers yourself and they're shipping - At least one person on your team has been promoted ## What we're looking for - 8+ years on backend or distributed systems - At least a year leading a team, and it doesn't have to have been official. If you're already the person everyone goes to, that counts - You've run something in production and been there when it broke. On-call, incidents, SLAs - Strong Java or another JVM language, with Kafka and Kubernetes in production - Real experience with multi-tenant systems, high availability, or data at volume - You've built something with LLMs rather than just used a coding assistant. Agents, evaluations, retrieval, prompt systems in production, any of it - You can explain a complicated system to someone who isn't an engineer - You've given someone hard feedback and kept the relationship afterwards ## 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) ## Other roles at Hevo Data - [Sr Manager / AD - Technical Account Management](https://feeny.ai/job/sr-manager-ad-technical-account-management-hevo-data-bengaluru-f61ka32cv43r) — Bengaluru, India - [Tech Lead](https://feeny.ai/job/tech-lead-hevo-data-bengaluru-7pzgbre15rrm) — Bengaluru, India - [Event Marketing Specialist](https://feeny.ai/job/event-marketing-specialist-hevo-data-bengaluru-4j9nb9dw1mdb) — Bengaluru, India - [Sales Manager - US](https://feeny.ai/job/sales-manager-us-hevo-data-bengaluru-vnmr0gag200d) — Bengaluru, India - [Senior Fullstack Engineer - Marketing](https://feeny.ai/job/senior-fullstack-engineer-marketing-hevo-data-bengaluru-jy4nd17zw6v8) — Bengaluru, India - [Senior Product Designer](https://feeny.ai/job/senior-product-designer-hevo-data-bengaluru-tt649kfd9shf) — Bengaluru, India - [Solution Engineer (Post-sales)](https://feeny.ai/job/solution-engineer-post-sales-hevo-data-bengaluru-2hw3fvjccp6w) — Bengaluru, India - [SDE I](https://feeny.ai/job/sde-i-hevo-data-bengaluru-n2ckk1bh6yff) — Bengaluru, India - [Talent Acquisition Manager](https://feeny.ai/job/talent-acquisition-manager-hevo-data-bengaluru-f8kpgcxgrg68) — Bengaluru, India - [UX Design Intern](https://feeny.ai/job/ux-design-intern-hevo-data-bengaluru-0ym1ejy3t9pb) — Bengaluru, India