---
title: 'Event Marketing Specialist at Hevo Data'
canonical: 'https://feeny.ai/job/event-marketing-specialist-hevo-data-bengaluru-4j9nb9dw1mdb'
type: 'job'
last_seen: '2026-09-07'
---

# Event Marketing Specialist 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/a170b9aa-eb95-4819-bbcd-aa5e12b2c826

## Job description

## About Hevo

Hevo is a simple, no-code data pipeline platform that helps companies unify and prepare their data for analytics and AI. Hevo enables 2,500+ data-driven companies, including DoorDash, Shopify, and Postman, to get their data AI-ready by automating complex integration and transformation tasks across hundreds of sources.

## About the Role

Every deal Hevo closes in the US starts somewhere: a webinar someone registered for, a booth conversation at a trade show, a case study that made a prospect say "we need this," a LinkedIn post from one of our execs that got shared around a buying committee. You'll be the person who makes all of that happen, reliably, every single week. We already have the playbooks. Our webinar and field event programs are proven and consistently driving pipeline. We're ready to take these programs further, and we need someone to own that growth day-to-day. That's where you come in: own four high-impact programs end-to-end, ship consistently, and watch your fingerprints show up in the pipeline numbers every month.

## What You'll Do

A. Webinar & Event Execution Run monthly webinar promo cycles end-to-end (email, LinkedIn, partner, and BDR outreach) with accurate registration tracking and CRM campaign association. Plan and execute in-person field events (trade shows, roundtables, meetups, partner events): build pre-event lists and outreach, schedule meetings, and manage all logistics and on-site ops. Drive post-event follow-up sequences and ensure clean CRM uploads, so attendees convert into pipeline rather than just a headcount. B. Customer Stories & Executive Thought Leadership Schedule and run case-study interviews with Account Managers/TAMs and customers. Draft the case study, hand off to Design, chase approvals to closure, and publish it out into the world. Turn our execs' ideas and talking points into LinkedIn content that sounds like them: draft and repurpose thought-leadership posts and threads across multiple exec voices and accounts. Own the posting cadence and keep the content pipeline consistently full. C. Reporting Track and report on registrations, attendance, content shipped, and pipeline/conversion impact across all four programs. Use this data to flag capacity constraints or execution gaps back to your manager.

## What You Bring

1-3 years of experience in field marketing, event marketing, or event management, ideally with some exposure to how events tie into pipeline/revenue, not just attendance. Working knowledge of the event marketing lifecycle (pre/during/post), including sponsorships vs. field motion, booth ops, and dinners, and an understanding that follow-up is where pipeline is actually won. Comfort orchestrating multi-channel promotion (email, LinkedIn, partner, BDR outreach) to fill a US-based event or webinar. Prior experience marketing to a US audience is a strong plus. Strong copywriting and drafting skills: you can turn a rough brief into clean, on-message copy with minimal edits, and adapt to different voices (useful for the case study and thought-leadership work). High execution rigour: you hit recurring deadlines without needing to be chased. Assertiveness: you chase approvals, vendors, and internal stakeholders to closure on your own. Excellent verbal and written communication skills. Ability to work independently as well as part of a cross-functional team, coordinating with AMs/TAMs, Design, BDRs, partners, and senior execs. Why This Role? You won't be one of ten people quietly maintaining a program. You'll personally own four of Hevo's sharpest pipeline-generating motions in the US market, with a direct line of sight from what you ship to what closes. If you're excited by fast execution, tight ownership, and watching your work move real numbers, this is that role. This role is also built to grow. You'll start as the execution owner across all four programs, working off documented playbooks. As you build a track record, there's room to move into owning program strategy and targets directly, and beyond that, into a broader marketing programs/demand-gen ownership track.

## 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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