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Data & AI Sales Hunter – US

  • Source: Indeed
  • workplace
  • $200,000 to $250,000 /yr
  • Remote
  • United States
  • Full-Time
  • Mid level

Job Description

Data & AI Sales Hunter – US

Location: USA – Central & East Coast Remote

Experience: 14–17 Years

Base Salary: $200K–$250K

Employment Type: Full-time

About the Role:

We are looking for a senior Data & AI Sales Hunter to drive new business and enterprise client acquisition across the US market.

This is a hunter-focused enterprise sales role, responsible for building a self-generated pipeline, acquiring new logos, engaging senior decision-makers, and managing opportunities through the complete sales cycle—from prospecting and proposal to negotiation and closure.

Key Responsibilities

* Identify, prospect, and acquire new enterprise clients / new logos across the US.

* Build and manage a strong self-generated sales pipeline.

* Sell Data & AI technology services and solutions to large enterprise organizations.

* Build relationships with CIOs, CDOs, CTOs, VP Data, VP Engineering, Procurement/Sourcing, and other senior stakeholders.

* Own opportunities through prospecting, discovery, proposal, negotiation, and closure.

* Partner with technical and pre-sales teams to develop effective solution propositions.

* Understand client business challenges and articulate the business value of Data & AI solutions.

* Own sales quotas and consistently deliver against revenue targets.

* Leverage an established US enterprise network to generate new opportunities.

Required Experience

* 14–17 years of total professional experience in enterprise sales / business development.

* 5–7+ years of experience specifically selling Data & AI, Analytics, Cloud, or technology services.

* Strong US enterprise sales experience with a proven new-business hunting track record.

* Demonstrated success in personally acquiring net-new enterprise clients.

* Strong existing network among senior US enterprise decision-makers.

* Experience handling large and complex enterprise deals.

* Proven track record of meeting or exceeding sales quotas.

* Strong consultative selling, negotiation, and relationship-building skills.

* Relevant Solution Experience

Commercial experience selling solutions/services in areas such as:

* Data Engineering

* Data Platforms

* Data Modernization

* Analytics

* AI / Machine Learning

* Generative AI

* Cloud

* Databricks

* Snowflake

* AWS / Azure / GCP

Candidates do not need to be hands-on technical engineers but must understand Data & AI solutions well enough to sell their business value to enterprise clients.

Ideal Candidate

* The ideal candidate will demonstrate:

* Proven hunter / new-logo acquisition track record

* Self-generated pipeline development

* Strong US enterprise relationships

* Access to C-level decision-makers

* Data & AI services sales experience

* Large/complex enterprise deal closures

* Clear quota ownership and measurable achievement

* Experience working with technical/pre-sales teams

Important:

US candidates only. Candidates must currently be based in the USA, with preference for the Central and East Coast regions.

Candidates primarily focused on account management/farming, inbound leads, RFP-driven sales, or existing-client management will not be considered.

Pay: $200,000.00 - $250,000.00 per year

Application Question(s):

  • Are you currently based in the USA? Please mention your city/state and work authorization.
  • How many years of experience do you have selling Data / Data Engineering / Data Platform services?

  • How many years of experience do you have as a hands-on individual contributor / hunter acquiring net-new US enterprise clients?

  • Have you personally sold Databricks, Snowflake, and AWS/Azure/GCP-based Data solutions? Please specify.
  • What was your annual sales quota and percentage achieved in your current/most recent role?
  • What is your current base salary and expected base salary?
  • What is your expected base salary?

Work Location: Remote

Skills

  • azure-databricks
  • databricks
  • Snowflake
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform

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