---
title: 'Head of Partnerships at Qualytics'
canonical: 'https://feeny.ai/job/head-of-partnerships-qualytics-united-states-trawkywptt1n'
type: 'job'
last_seen: '2026-09-16'
---

# Head of Partnerships at Qualytics

- **Company:** Qualytics
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-01
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.ashbyhq.com/qualytics/0f0f024c-9de0-42eb-aa04-ce98a6eced9b

## Job description

## ABOUT QUALYTICS

Qualytics is building the trusted data reliability layer for the modern data stack. We help data teams detect, understand, and resolve data quality issues before they impact the business — making data trustworthy at every point in the pipeline.

We are now building our partnerships function from the ground up. This is our first dedicated partnerships hire, and it is a high-leverage, high-visibility role for someone who wants to own a motion end-to-end.

## THE OPPORTUNITY

Partnerships will become a core growth lever for Qualytics — not an afterthought. Our goal is to embed Qualytics as a default component within the ecosystems where data teams already operate, working alongside platforms like Snowflake and Databricks, and Data Governance tools such as Atlan, Datahub and Alation.

As our first Head of Partnerships, you will build the foundation: establishing field relationships, creating co-sell motions, and generating measurable partner-influenced pipeline. Strategy will be set by company leadership; your mandate is to execute and turn relationships into revenue.

## WHAT YOU'LL DO

Own Partner Relationships

- Build and manage day-to-day relationships with key ecosystem partners — initially Snowflake, Databricks, Atlan, Alation, and DataHub
- Develop strong connections with partner leadership, field teams, and alliance managers
- Maintain regular partner touchpoints and executive alignment

Drive Co-Sell Pipeline

- Enable partner sales teams to confidently introduce Qualytics to their customers
- Run account mapping exercises to surface joint opportunities
- Identify, develop, and track partner-influenced deals through to close
- Create repeatable co-sell playbooks in collaboration with sales and marketing

Build the Partner Enablement Motion

- Train partner sellers on Qualytics positioning, use cases, and competitive differentiation
- Create partner-facing materials: one-pagers, reference architectures, integration guides
- Support partner solution engineers and architects with technical context

Coordinate Internally

- Act as the connective tissue between product, sales, and marketing on all partner activity
- Ensure partner requirements and roadmap requests are surfaced to the right stakeholders
- Align joint initiatives across functions and manage execution against them

Expand the Ecosystem Over Time

- Identify new partnership opportunities across data orchestration, reverse ETL, and AI infrastructure as the motion matures
- Support evaluation and onboarding of new partners aligned with company strategy
- Contribute to marketplace listings, joint event presence, and thought leadership programs

## WHAT WE'RE LOOKING FOR

Required Experience

- 5+ years in partnerships, alliances, or business development roles at a B2B SaaS company
- Demonstrated experience building or owning co-sell motions with cloud/data ecosystem partners (Snowflake, Databricks, or equivalent)
- Track record of generating measurable partner-influenced pipeline and revenue, not just managing relationships
- Ability to operate independently and build from scratch — this is a founding role, not a steady-state job
- Strong executive presence and comfort working with both field reps and C-level stakeholders

## Nice to Have

- Experience in the data quality, data observability, or data catalog space
- Existing relationships within the Snowflake, Databricks, or Atlan partner ecosystems
- Experience working at an early-stage company where you were the first partnerships hire
- Familiarity with marketplace programs (Snowflake Marketplace, Databricks Partner Connect, etc.)

Who Thrives in This Role

- You are a builder, not a maintainer — you find existing playbooks motivating but don't need them to get started
- You measure your success in pipeline and revenue, not meetings and activities
- You navigate ambiguity well and can align internal stakeholders without a lot of process
- You care about the data ecosystem and can speak credibly about where data teams struggle

## HOW SUCCESS IS MEASURED

This role is measured on business outcomes, not partnership activity. The primary metrics are:

- Partner-sourced and partner-influenced pipeline (primary)
- Closed revenue attributable to partner relationships
- Number of active co-selling partners with enabled field teams
- Joint customer wins and reference accounts
- Qualytics inclusion in partner reference architectures and solution bundles

Within 12–18 months, a successful Head of Partnerships will have established Snowflake, Databricks, Atlan, Datahub and Alation reps who proactively introduce Qualytics to customers — creating a predictable, repeatable distribution channel.

Over time, partnerships will expand into AI companies that depend on trusted data, where Qualytics can become a foundational layer.

## YOUR PARTNERS IN THIS WORK

You will work closely with a small but senior leadership team:

- Gorkem (CEO) — sets partnership strategy, maintains executive-level relationships, and supports major negotiations
- Eric (Co-Founder / CTO) — guides technical integrations and ensures partnerships align with product roadmap
- Ram Parimi (Advisor) — CRO-level advisor with experience building scalable partnership motions; available to mentor and provide strategic guidance
- Tonni (Head of Sales) - leads sales, will be your partner in crime for seeing pipeline through to execution
- Nicole (Head of Marketing) - leads marketing, will be a partner from events to collateral to messaging

## 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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