Scan your resume against ATS criteria for this Technical Lead Manager (Connect AI) role at hevodata.
You're probably already doing most of this job without the title. People bring designs to you before they build, your review is the 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.
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.
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.
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.
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.
Exactly-once delivery when any component can fail. Multi-tenancy where 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.
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.
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.
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.
Roughly 60 percent of your week stays technical. Nobody here is going to quietly take the code away from you over four quarters.
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.
Pinterest, Gartner, Shopify, Iceland Air and Jawa Motorcycles run their data on Hevo, along with about two thousand other companies across 40+ countries. We move data from 150+ sources into Snowflake, BigQuery and Databricks without the customer writing code or putting an engineer on it.
Series B, $43 million raised from Sequoia Capital, Chiratae and Qualgro. San Francisco and Bangalore, with the platform built here.
We're not the biggest company you could join. We are of the few where the engineering is hard, the team is growing fast enough that your scope grows with it, and the person building the system decides how it gets built.
How to apply for Technical Lead Manager (Connect AI) at hevodata?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
The salary for this role is $43 per annum.
What experience is required?
8+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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