Managing Director - Hunter Sales
Evalueserve · Raleigh, NC · 1 mo ago
Business DevelopmentFull-time
We need to output HTML fragment with sections: Use for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We need to extract content.
Given posting: It includes Reports To, Department, Location, then description about company, then Job Summary, Key Tech/Domain Focus, Key Responsibilities (with subpoints), Required Qualifications (with bullet points), then disclaimer etc. Also there is a note about contacting recruiter etc. No explicit Benefits, Pay, Schedule. So we should not include those sections.
We need to include sections: About the role (maybe from Job Summary?), Responsibilities, Requirements (maybe Required Qualifications?), Qualifications (maybe education?), Skills (maybe key tech/domain focus?). But we must not create sections with placeholder text. We need to decide which sections have substantive content.
We have:
- Job Summary: description of role, high-impact sales leader, etc. Could be "About the role".
- Key Responsibilities: list of duties.
- Required Qualifications: list of experience, track record, executive presence, domain expertise, managing multimillion-dollar opportunities, Bachelor's degree required; MBA preferred.
- Key Tech/Domain Focus: could be considered Skills.
Thus we can have sections: About the role (Job Summary), Responsibilities (Key Responsibilities), Requirements (Required Qualifications), Skills (Key Tech/Domain Focus). Possibly also Qualifications (education) but we could combine with Requirements. However we need to follow instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can include any of those that have content. We should not repeat job title as heading.
Thus output:
. Let's list them:
Under New Logo Acquisition & Pipeline Generation:
- Drive relentless outbound prospecting to identify and secure net-new logos within strategic enterprise target accounts
- Own the entire sales cycle, from cold outreach and initial pitch to proposal creation, pricing strategy, negotiation, and final closure.
- Leverage and aggressively expand your existing network of decision-makers in the AI, cloud, and big data spaces
Under Consultative & Value-Based Selling:
- Translate emerging AI concepts (e.g., LLMs, Agentic AI, vector databases) into tangible business outcomes and ROI for non-technical C-level executives
- Partner with Solutions Architects and Pre-Sales teams to customize highly technical data architectures, data engineering, and AI solutions to match specific customer use cases
- Formulate and present world-class proposals, responding effectively to RFPs and RFIs
Under Partner & Channel Orchestration:
- Collaborate closely with technology partner ecosystems (e.g., AWS, Microsoft, Snowflake, Databricks, Google Cloud) to drive co-selling motions and access whitespace accounts
- Maintain impeccable pipeline hygiene and forecasts within CRM tools
Thus we have 8 responsibilities.
Now Required Qualifications: It has bullet-like sentences:
- Experience: 15+ years of quota-carrying B2B enterprise professional consulting sales experience, with a solid 3+ years specifically selling Data & AI solutions
- Proven Track Record: Consistent history of exceeding sales quotas and closing net-new business in a fast-paced environment
- Executive Presence: Prior success in building relationships and negotiating contracts with CIOs, CDOs, and CTOs.
- Domain Expertise: Clear ability to articulate complex cloud computing, big data architecture (Lakehouse/Data Mesh), analytics platforms, and AI/ML ecosystems
- Experience managing multimillion-dollar opportunities and long sales cycles.
- Bachelor's degree required; MBA preferred.
We could treat each as . Also note "Experience:" etc. We'll keep the text as is.
Now Skills (Key Tech/Domain Focus): It says:
"Key Tech/Domain Focus: Generative AI & LLMs, Data Intelligence Platforms (Databricks, Snowflake, AWS, Azure), AI Data Services (Annotation/Ops), Analytics, and Agentic Workflows."
We could split into list items: Generative AI & LLMs; Data Intelligence Platforms (Databricks, Snowflake, AWS, Azure); AI Data Services (Annotation/Ops); Analytics; Agentic Workflows.
Now we need to output only HTML fragment, no extra text.
Thus:
for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We need to extract content.
Given posting: It includes Reports To, Department, Location, then description about company, then Job Summary, Key Tech/Domain Focus, Key Responsibilities (with subpoints), Required Qualifications (with bullet points), then disclaimer etc. Also there is a note about contacting recruiter etc. No explicit Benefits, Pay, Schedule. So we should not include those sections.
We need to include sections: About the role (maybe from Job Summary?), Responsibilities, Requirements (maybe Required Qualifications?), Qualifications (maybe education?), Skills (maybe key tech/domain focus?). But we must not create sections with placeholder text. We need to decide which sections have substantive content.
We have:
- Job Summary: description of role, high-impact sales leader, etc. Could be "About the role".
- Key Responsibilities: list of duties.
- Required Qualifications: list of experience, track record, executive presence, domain expertise, managing multimillion-dollar opportunities, Bachelor's degree required; MBA preferred.
- Key Tech/Domain Focus: could be considered Skills.
Thus we can have sections: About the role (Job Summary), Responsibilities (Key Responsibilities), Requirements (Required Qualifications), Skills (Key Tech/Domain Focus). Possibly also Qualifications (education) but we could combine with Requirements. However we need to follow instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can include any of those that have content. We should not repeat job title as heading.
Thus output:
About the role
... job summary text ...
Responsibilities
- ... each responsibility ...
Requirements
- ... each qualification bullet ...
Skills
- ... each tech/domain focus ...
About the role
We are seeking a high-impact, results-driven Sales Leader with a demonstrated ability to win net-new enterprise business within the Data, Analytics, and AI landscape. This individual will play a critical role in accelerating revenue growth, expanding our market presence, and establishing strategic client relationships across target industries. The ideal candidate brings a strong track record of enterprise sales success, deep C-suite relationships, and significant experience selling Data & AI solutions, Analytics, Cloud, Digital Transformation, or Technology Consulting services. They will be responsible for developing and executing growth strategies, building a robust sales pipeline, opening new logos, engaging executive stakeholders, and closing large-scale transformational engagements.
Responsibilities
- Drive relentless outbound prospecting to identify and secure net-new logos within strategic enterprise target accounts
- Own the entire sales cycle, from cold outreach and initial pitch to proposal creation, pricing strategy, negotiation, and final closure.
- Leverage and aggressively expand your existing network of decision-makers in the AI, cloud, and big data spaces
- Translate emerging AI concepts (e.g., LLMs, Agentic AI, vector databases) into tangible business outcomes and ROI for non-technical C-level executives
- Partner with Solutions Architects and Pre-Sales teams to customize highly technical data architectures, data engineering, and AI solutions to match specific customer use cases
- Formulate and present world-class proposals, responding effectively to RFPs and RFIs
- Collaborate closely with technology partner ecosystems (e.g., AWS, Microsoft, Snowflake, Databricks, Google Cloud) to drive co-selling motions and access whitespace accounts
- Maintain impeccable pipeline hygiene and forecasts within CRM tools
Requirements
- Experience: 15+ years of quota-carrying B2B enterprise professional consulting sales experience, with a solid 3+ years specifically selling Data & AI solutions
- Proven Track Record: Consistent history of exceeding sales quotas and closing net-new business in a fast-paced environment
- Executive Presence: Prior success in building relationships and negotiating contracts with CIOs, CDOs, and CTOs.
- Domain Expertise: Clear ability to articulate complex cloud computing, big data architecture (Lakehouse/Data Mesh), analytics platforms, and AI/ML ecosystems
- Experience managing multimillion-dollar opportunities and long sales cycles.
- Bachelor's degree required; MBA preferred.
Skills
- Generative AI & LLMs
- Data Intelligence Platforms (Databricks, Snowflake, AWS, Azure)
- AI Data Services (Annotation/Ops)
- Analytics
- Agentic Workflows