---
title: 'Sales Manager - US at Hevo Data'
canonical: 'https://feeny.ai/job/sales-manager-us-hevo-data-bengaluru-vnmr0gag200d'
type: 'job'
last_seen: '2026-09-07'
---

# Sales Manager - US at Hevo Data

- **Company:** Hevo Data
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/hevodata/5876f95d-c1c3-4959-8321-e569120bc901

## Job description

## About Hevo

Hevo is a No-code Data Pipeline platform powering analytics for 2000+ companies including Deliverr, Neo4J, and Groww. Backed by $42M from Sequoia India and Chiratae Ventures, we've grown 20X in customer base over two years and are entering hyper-growth with ambitious revenue targets.

## The Role

Drive revenue by selling complex technical solutions to mid-market customers. Own the full sales cycle—from strategic prospecting to closing high-value deals with senior decision-makers in competitive environments.

## Key Responsibilities

- Own and deliver the annual revenue target for the US market through effective pipeline, forecast, and deal management.
- Lead, coach, and develop Account Executives through regular 1:1s, deal reviews, call coaching, and performance management.
- Build a predictable pipeline across inbound, outbound, and expansion sales motions.
- Drive execution of complex mid-market and enterprise sales cycles and support the team on strategic deals.
- Establish and improve sales processes, operating rhythms, methodologies, and performance metrics to drive consistent execution.
- Hire and develop high-performing sales talent and build a strong, accountable, and high-performance team culture.
- Partner closely with Marketing, Pre-sales, Product, and Engineering to improve sales effectiveness and customer outcomes.
- Identify and implement improvements across sales processes, tools, and workflows to increase team productivity and revenue.
- Use sales data, customer insights, and market trends to identify opportunities and refine the US sales strategy.

## Requirements

- 12+ years sales experience with 4+ years managing quota-carrying teams
- Proven track record in databases, ETL, or Business Intelligence sales (Good to have)
- Deep expertise in end-to-end global sales across Inbound/Outbound/Expansion plays
- 4+ years building and managing high-performance sales teams (Must have)
- Experience developing strategies in fast-paced, high-growth environments
- Strong operational and process improvement capabilities
- Passion for technical products and data-driven decision making
- Exceptional communication and interpersonal skills

## 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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