Job description

ABOUT QUALYTICS At Qualytics, we empower data teams to proactively identify and resolve data quality issues—including the ones they didn’t know they had. Our platform goes beyond surface-level checks to assess data row by row, catching 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—enterprises where data quality directly impacts performance, compliance, and strategic decisions. Whether it’s financial reporting, healthcare operations, or AI model integrity, bad data can quietly break big things—and we help ensure it doesn’t. Joining Qualytics means collaborating with top-tier data professionals tackling high-stakes, deeply complex challenges. If you care about trust, rigor, and solving foundational problems that power how the world works—let's talk. ROLE OVERVIEW We're looking for a driven Account Executive to drive revenue growth for our innovative data quality platform. This is a high-impact role where you'll be selling cutting-edge technology to sophisticated data teams at Fortune 2,000 companies who understand the critical importance of data reliability and trust. As an Account Executive at Qualytics reporting directly to the SVP of Sales, you'll own the full sales cycle from lead generation through contract closure, working with enterprises that process massive volumes of mission-critical data. You'll be selling to technical buyers who appreciate innovation and business stakeholders who need to justify ROI - requiring both technical acumen and business development expertise. This isn't a typical SaaS sales role where leads are handed to you. You'll be building your own pipeline, hunting new opportunities, and establishing Qualytics as the go-to solution in a rapidly growing market. You'll work closely with our Solution Engineers and product team to craft compelling proposals and guide prospects through complex enterprise sales cycles. WHAT YOU'LL DO - 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 WHO YOU ARE - Enjoys building relationships and solving complex business problems through technology solutions - Thrives in a startup environment with high autonomy and accountability for results - Has strong consultative selling skills and can navigate technical conversations with confidence - Comes with a hunter mentality and proven ability to generate your own opportunities - Brings deep understanding of enterprise data challenges and how technology addresses business pain points - Has experience selling into regulated industries with complex compliance and security requirements - Takes a strategic approach to territory management and account development - Has strong presentation and communication skills across technical and executive audiences - Enjoys traveling and meeting customers face-to-face to build lasting relationships 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 NICE TO HAVE - 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 WHY WORK HERE? MISSION We founded Qualytics based on our collective experiences working at a number of early-stage technology companies grappling with challenges related to data quality. We realized how few products are available to help organizations maintain quality & trust in their data pipelines. We're here to change that with a platform capable of detecting and proactively responding to data anomalies before they result in ML model drift, corruption of your aggregated calculations, or other pollution of your downstream systems. We believe that data is the most valuable resource to companies, and that resource isn't useful unless it's reliable. Here's a blog we wrote summarizing some of the problems we're trying to solve: 8 Ways To Royally Flummox Your Data — and Not Even Know It qualytics.co VALUES Qualytics is a values-driven organization, and we are excited about what we do. We're flexible, honest, hardworking, and collaborative. As a team, we bring our diverse backgrounds, beliefs, and experiences together to create better individual work experiences. We support and challenge one another to bring out the best in each of us, and it seems like we have a little fun along the way. We are lifelong learners, and support ongoing training and professional development on a wide variety of topics. PERKS - Competitive salary and equity: we pay up for great talent - Unlimited vacation – we trust you to take what you need – we clear the calendars on common holidays so you don't feel like you're going to miss an important meeting if you take off - All the benefits: medical, dental, and vision insurance, the works - Work with a passionate and dedicated team - Conference and speaking opportunities: we support and encourage team members to represent Qualytics at industry events - Fun environment with like minded individuals who enjoy a company giphy conversation on slack more than they should Please note that while the position is remote, we currently require applicants to be located in the United States and cannot offer visa sponsorship at this time.

Requirements

Must-haves

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
Enjoys building relationships and solving complex business problems through technology solutions
Thrives in a startup environment with high autonomy and accountability for results
Has strong consultative selling skills and can navigate technical conversations with confidence
Comes with a hunter mentality and proven ability to generate your own opportunities
Brings deep understanding of enterprise data challenges and how technology addresses business pain points
Has experience selling into regulated industries with complex compliance and security requirements

Nice-to-haves

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
WHY WORK HERE?

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