Full-Time

Enterprise Account Executive

Qualytics

Qualytics

11-50 employees

AI-powered data quality platform for enterprises

No salary listed

No H1B Sponsorship

Remote in USA

Remote

Remote within the United States only; visa sponsorship not available.

Category
Sales & Account Management (1)
Required Skills
Data Engineering
Observability
Data Governance
Requirements
  • Experience: 2+ years of enterprise B2B SaaS sales experience with a track record of consistently meeting or exceeding quota
  • Data Product Sales: Proven success selling data platforms, analytics tools, or data infrastructure solutions to enterprise customers
  • Industry Focus: Experience selling into Financial Services, Banking, Insurance, Healthcare, or Real Estate verticals
  • Enterprise Sales: Track record managing complex sales cycles with deal sizes typically $100K+ ARR
  • Lead Generation: Demonstrated ability to source and develop your own pipeline through prospecting and networking
  • Startup Experience: Previous experience working at an early-stage or high-growth technology company
  • Travel Flexibility: Willingness to travel up to 25-30% for customer meetings, conferences, and industry events
  • Technical Acumen: Ability to understand and articulate complex technical concepts to both technical and business stakeholders
Responsibilities
  • Drive new business development by identifying, qualifying, and closing enterprise opportunities in the data quality and observability space
  • Build and manage a robust sales pipeline through strategic prospecting, networking, and lead generation across target verticals
  • Conduct compelling product demonstrations and technical discussions with data governance teams, data engineering teams, data & IT leadership, and C-suite executives
  • Navigate complex enterprise sales cycles involving multiple stakeholders, technical evaluations, and procurement processes
  • Collaborate with Solution Engineers to design custom proposals and technical solutions that address specific customer challenges
  • Develop deep relationships with prospects and customers in various verticals including Financial Services, Insurance, Healthcare, Supply Chain, Manufacturing and Real Estate
  • Attend and represent Qualytics at industry conferences, trade shows, and networking events to generate leads and build brand awareness
  • Travel to customer sites for on-site meetings, presentations, and relationship building as needed
  • Work cross-functionally with marketing, product, and customer success teams to optimize the sales process and customer experience
  • Maintain accurate forecasting and pipeline management using CRM tools
  • Provide market feedback to product and engineering teams based on customer conversations and competitive intelligence
  • Serve as a brand ambassador for Qualytics in professional networks and industry communities
  • Give & receive constructive feedback that makes the overall team and product stronger
Desired Qualifications
  • Data Quality / Observability: Previous experience selling data quality, data observability, or data governance solutions
  • Regulated Industries: Deep understanding of compliance requirements in financial services or healthcare
  • Technical Background: Engineering, computer science, or technical degree that enables deeper technical conversations
  • Industry Networks: Existing relationships within target verticals and data engineering communities

Qualytics provides an AI-powered data quality platform for enterprises to automate and improve data quality controls. It uses machine learning to monitor data in real time, helping organizations keep their data reliable for decision making. The system is designed for B2B use by companies with strict data management and compliance needs, such as those in the oil and energy sector. Founded in 2020 and based in Orlando, Qualytics targets enterprise customers with scalable data quality and governance solutions that continuously surveil data quality. Its goal is to help businesses maintain trustworthy data through automated, real-time monitoring and governance tools.

Company Size

11-50

Company Stage

Series A

Total Funding

$15.2M

Headquarters

Orlando, Florida

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • $10M Series A led by BMW i Ventures fuels 5x revenue growth.
  • Major contract secured with top U.S. financial institution.
  • Founder Gorkem Sevinc's FinTech scaling expertise targets healthcare.

What critics are saying

  • BigQuery's ML anomaly detection bypasses Qualytics for GCP users now.
  • Databricks Unity Catalog commoditizes rules, eroding lakehouse pricing.
  • Great Expectations v4 enables zero-cost in-house surveillance by Q1 2026.

What makes Qualytics unique

  • No-code engine auto-generates 95% of validation rules from production data.
  • Proactive AI surveillance detects anomalies before data usage in enterprises.
  • Combines AI data quality with human governance for trusted controls.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Conference Attendance Budget

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

11%

1 year growth

8%

2 year growth

0%
StreetInsider
Jun 23rd, 2025
Qualytics Secures $10M Series A Funding

Qualytics, an enterprise data quality platform, announced a $10M Series A funding round led by BMW i Ventures. The funding will support Qualytics' rapid growth, driven by a 5x revenue increase and a major contract with a top U.S. financial institution. The platform offers automated data quality management, addressing the need for reliable data in AI and analytics. The investment will help expand the team and enhance platform capabilities to meet the growing demand for augmented data quality.

Hypepotamus
Dec 26th, 2022
Atlanta Investors Back Qualytics, A Startup With A “Proactive” Approach To Data Quality

Gorkem Sevinc, a self-described “multi-time entrepreneur startup junkie,” kept running into the same problems trying to manage and understand crucial company data.“Throughout my career, what I’ve experienced is that when you have bad data going into your ecosystem, you make bad decisions,” he told Hypepotamus. “When you have these data issues, your data team and your technical team are not the best people to catch those [problems]. It’s your subject matter experts – people like your CFO or your CRO – who know the data the best.”It is easier for those subject matter experts to sniff out problems with the data than a technical team playing “whack a mole” trying to solve the problem, he added.Keeping up with data quality changes has typically been a reactive process, Sevinc added. It’s also been hard for large enterprises to prove out ROI previously.That’s exactly why Qualytics was created, said Sevinc.The startup platform looks to help other companies “manage data quality at scale.” That means using AI to create better data quality rules and ultimately find the data anomalies that are hard to find when a company has millions or even billions of data points to work through.Data anomalies might range from pricing discrepancies to missing timestamp data related to recent sales to more complicated problems around data accuracy. Qualytics builds upon a company’s historical data to ultimately create better, more flexible rules moving forward.“When that data scientist is using 80 to 90% of their time prepping data and throwing bad data out, [they] are focusing on information and not insight. I want my team focused on insights,” he added.Given Sevinc’s previous work scaling FinTech and HealthTech startups, Qualytics is currently pursuing enterprise clients in the financial services and healthcare spaces

AiThority
Dec 25th, 2022
Qualytics Raises $2.5 Million to Help Enterprises Improve Data Quality

Qualytics, data quality platform for enterprises, announced it has raised $2.5 million led by venture capital firm Tech Square Ventures

PR Newswire
Dec 22nd, 2022
Qualytics Raises $2.5M to Help Enterprises Improve Data Quality

Qualytics, the leading active data quality platform for enterprises, today announced it has raised $2.5 million led by venture capital firm Tech Square Ventures, with participation from Engage, Knoll Ventures, SaaS Ventures and GRI Ventures.