Data Hunter

Posted 3 days ago

gloveDenver (CO)

Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel Computer Systems Design Services

SENIORITY

Senior

Apply

About the role

Job Title: Data Hunter

Location: United States (Remote)Full Time

Job description

Role Overview: Client is seeking a high-caliber, aggressive Sales Hunter to spearhead our Data and Artificial Intelligence business growth across the United States market. As a hunter on our go-to-market team, you will be responsible for breaking into new enterprise logos, expanding our footprint in Fortune 500 accounts, and closing high-value, complex deals across Modern Data Architecture, Generative AI, and Advanced Analytics. The ideal candidate is an elite net-new logo hunter who has spent the atleast last 5 to 7 years exclusively selling enterprise Data and AI solutions, possesses an active, senior-level industry rolodex, and has a proven track record of driving multi-million dollar deals in partnership with top-tier cloud and data platform ecosystems.

Key Responsibilities: Net-New Logo Acquisition: Drive end-to-end sales cycles from prospecting to closing, targeting large enterprise accounts across key verticals (e.g., Financial Services, Capital Markets, Manufacturing, and Retail).Ecosystem Leverage: Capitalize on deep fluency with Databricks and Snowflake, alongside at least one major hyperscaler (AWS, Microsoft Azure, or Google Cloud Platform), to co-sell and position Client’s implementation and engineering capabilities. Network Utilization: Leverage an established, active rolodex of CXOs, Chief Data Officers (CDOs), Chief Information Officers (CIOs), and procurement leaders to fast-track pipeline creation. Solution Selling: Pitch complex data engineering, Lakehouse migrations, enterprise GenAI orchestration, and Multi-Agent system initiatives. Deal Architecture: Lead pricing, contract negotiations, master services agreement (MSA) closures, and executive presentations in collaboration with delivery and technical pre-sales teams.

Qualifications & Requirements

Experience: 14–17 years of total professional experience in enterprise technology sales, with a mandatory 5–7 years focused on selling Data and AI services. Ecosystem Expertise: Deep domain knowledge and demonstrated success selling solutions built on Databricks, Snowflake, and at least one hyperscaler (AWS, Azure, or GCP).Network / Rolodex: Must bring a demonstrable, active executive rolodex within US enterprises, with established relationships at the C-suite and VP levels. Track Record: Consistent history of exceeding annual quotas ($3M+ net-new annual contract value) and winning complex, multi-stakeholder deals in the IT/analytics services sector.

Education: Bachelor’s degree in Computer Science, Engineering, Business, or a related field (MBA or advanced degree preferred).

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.