---
title: 'Product Marketing Manager at Qualytics'
canonical: 'https://feeny.ai/job/product-marketing-manager-qualytics-united-states-p8yms8v9ksnd'
type: 'job'
last_seen: '2026-10-14'
---

# Product Marketing Manager at Qualytics

- **Company:** Qualytics
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/qualytics/5680ae7b-e1e0-4440-b72e-07f642cf0336

## Job description

## About Qualytics

At Qualytics, we help organizations trust the data their business runs on. Our data trust platform brings data quality, master data management, data observability, and data catalog together in one place, with data quality at its core. We go beyond surface-level checks to assess data row by row, deriving expectations directly from the data and surfacing findings from the first scan, so teams catch silent errors, unexpected changes, and anomalies before they cause real-world consequences. We work with some of the most forward-thinking organizations in the world, where trusted data has a direct impact on performance, compliance, and strategic decisions. Joining Qualytics means collaborating with top-tier data professionals on high-stakes, deeply complex challenges, at a company building an independent platform in a category that is consolidating fast. If you care about trust, rigor, and solving foundational problems that power how the world works, let's talk.

## Role Overview

Reporting to the Head of Marketing, you’ll partner closely with product, sales, and forward-deployed engineering to bring our positioning to life, support product launches, and enable our go-to-market teams to win. You’ll play a key role in refining how we communicate what makes Qualytics different to enterprise buyers, particularly in data-intensive industries like financial services, insurance, healthcare, and supply chain.

What You’ll Do:

- Develop and evolve our positioning and messaging across verticals: Translate technical capabilities into clear, differentiated messaging tailored to enterprise data buyers.
- Drive sales enablement: Develop compelling collateral, pitch decks, competitive battlecards, and training to support the GTM team.
- Lead product launches and customer communication: Partner with product and marketing teams to develop launch messaging and coordinate cross-functional rollouts.
- Develop competitive insights: Stay close to the market and translate insights into messaging, sales enablement, and go-to-market programs.
- Be the voice of the buyer: Partner with sales and customer-facing teams to understand buyer needs, objections, and use cases, and feed those insights back into messaging and product planning.

You Should Have:

- 5-7 years of product marketing experience at a SaaS company
- Experience working at a data quality, observability, or analytics company is highly desirable
- Experience operating in early- to mid-stage venture-backed SaaS companies
- Exceptional storytelling and communication skills with the ability to turn complex data, technology, and concepts into clear communications
- Ability to collaborate effectively across product, sales, and marketing teams
- Highly hands-on: comfortable creating content, messaging, and enablement assets directly
- Growth mindset: comfortable with undefined processes and experimentation; excited to work on new initiatives that fuel growth

Why Work Here? We’re flexible, honest, and collaborative. We support and challenge one another. We’re united by curiosity and rigor. And we’re lifelong learners, always pursuing personal and professional growth.

## Perks

- Competitive salary and equity—we pay for excellence
- Unlimited vacation and company-wide holidays
- Medical, dental, vision, and other insurance benefits
- Opportunities for conference attendance and public speaking
- Fun, remote-friendly culture with Slack GIF wars and team camaraderie
- Note: Remote within the U.S. and Canada; no visa sponsorship available

## About Qualytics

## Company Overview
- **One-liner**: Qualytics is a data quality platform that acts as a continuous data control layer, using AI-augmented monitoring and human governance to validate data before it is used in analytics, applications, or AI workflows.
- **Entity Type**: Private (Series A)
- **Headquarters**: Atlanta, Georgia, United States
- **Founded**: 2020
- **Founders**: Gorkem Sevinc (Co-Founder & CEO), Eric Simmerman (Co-Founder & CTO)

## Core Business
- **Primary industry/industries**: Data Quality, Data Governance, Enterprise Software
- **Target customers**: B2B, Enterprise organizations with complex data environments (data teams, business teams, AI/ML teams)
- **Mission or purpose**: "To make trusted data the standard" by bringing proactive, collaborative data quality to enterprises, replacing reactive "after-the-fact" repairs.

## Products & Services
- **Qualytics Platform (The Data Control Layer)**: An AI-augmented SaaS platform that continuously profiles data sources, learns data behavior, and generates quality rules automatically. It operates on a "validate-at-use" principle, producing governed signals that act as real-time controls for humans (analytics, apps) and agents/copilots before they generate insights or take action. Includes a low-code interface for teams and a natural language interface, AgentQ.

## Market Standing
- **Valuation/Market Cap**: Not publicly available.
- **Key Metric**: Total Funding raised: **$18.15M** across 4 rounds.
    - Series A: **$10M** (led by BMW i Ventures, July 2025)
    - Venture Round: **$2.7M** (2022)
    - Seed Round: **$2.5M** (led by Tech Square Ventures, Dec 2022)
    - Pre-Seed Round: **$3.0M** (2021)
- **Notable Investors/Partners**: BMW i Ventures (Series A lead), Tech Square Ventures.
- **Growth Signals**: Headcount grew **+85.7% YoY** to 30 employees. The company cites customer results of a 20x ROI and 4x faster remediation, automating over 20K data quality rules.

## Competitive Advantages
- **AI-First, Human-Guided Platform**: Their AI automatically infers and maintains data quality rules as data evolves, a significant differentiator from manual, reactive data quality approaches.
- **Validate-at-Use Architecture**: Shifts data quality from a downstream check to a real-time control that actively governs how insights and actions are taken, making it a critical infrastructure layer for AI/agent reliability.
- **Co-Ownership Model**: Designed to be used by both business teams and data teams (over 50 business users in one deployment), fostering collaboration without requiring separate systems.

## Strategic Focus
- **Expanding Enterprise AI Governance**: Positioning the platform as a fundamental "control layer" for trusted AI, especially for copilots and agents that need to access governed context in real-time (via MCP, API).
- **Scaling Sales & Partnerships**: Actively hiring for a **Head of Partnerships** [jobs.ashbyhq.com](https://jobs.ashbyhq.com/qualytics), indicating a focus on channel and strategic partner growth.
- **Continuous Product Development**: Building out features like live anomaly counts in data lineage and improving the natural language interface (AgentQ).

## Why Work Here
- **Culture & Values**: A values-driven organization emphasizing trust, collaboration, transparency, continuous improvement, and a fun environment (Slack GIPHY conversations). The team is described as flexible, honest, hardworking, and collaborative [qualytics.ai](https://qualytics.ai/careers).
- **Work Model**: **Fully remote** with an office hub in Atlanta for optional connection and collaboration [qualytics.ai](https://qualytics.ai/careers).
- **Compensation & Benefits**: 
    - Competitive salary and equity
    - 401(k) with company match
    - Medical, dental, and vision insurance (health benefits)
    - Unlimited vacation with common holidays off
    - Professional development support (budget, conference/speaking opportunities)
- **Impact**: Opportunity to solve a massive, fundamental problem in enterprise data and AI. The team is composed of former CDOs, CTOs, and operators who are building a platform they wished they had in their prior roles.

## Sources
1. [qualytics.ai](https://qualytics.ai/)
2. [qualytics.ai/about-us](https://qualytics.ai/about-us)
3. [qualytics.ai/careers](https://qualytics.ai/careers)
4. [jobs.ashbyhq.com/qualytics](https://jobs.ashbyhq.com/qualytics)
5. [linkedin.com/company/qualyticsinc](https://www.linkedin.com/company/qualyticsinc)

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