GTM AI Operations Specialist
Hewlett Packard Enterprise
GTM AI Operations Specialist
Hewlett Packard Enterprise
Builds servers, networking and private cloud
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
We are looking for a GTM AI Operations Specialist to design, build, and deliver AI agents that sellers use every day. This is a hands-on role focused on writing prompts, configuring agents, testing outputs, and launching seller-facing tools that reduce friction and help close revenue faster.
This role connects Sales Operations, AI tooling, and enterprise data to put working AI agents directly in front of sellers. You will turn GTM priorities into seller-facing agents and automated workflows using platforms like SalesforceAgentforce, Microsoft Copilot Studio, Claude Code, Gemini, Snowflake, and Databricks.
Key Responsibilities
Prompt Engineering & AI Agent Development
Design and deploy autonomous agents:Prototype, test, and ship AI agents and custom copilots that handle key seller motions, including deal inspection, account research, opportunity updates, and meeting prep.
Optimizeprompts:Write, refine, andmaintainprompt templates, system instructions, and context that give sales teamsaccurate, consistent, and relevant output.
Tune agent behavior:Decide how agents interact with sellers and prospects. Set the guardrails, tone, persona, and fallback logic across platforms like SalesforceAgentforceand Microsoft Copilot Studio.
Workflow Automation & Execution
Ship production workflows:Re-engineer revenue processes by connecting LLMs and agentic workflows to our core GTM systems such as Salesforce, Clari,Zoominfo, People.ai, Gong.
Prototype and iterate quickly:Build fast, test in the field, and refine using tools like Microsoft CoPilot, Claude Code, ChatGPT Enterprise, Gemini, and orchestrators such as Power Automate, or direct API integrations.
Build for scale:Document agent logic, prompt structures, and standard procedures so the automations you build can grow across the global GTM organization without depending on one person.
Experimentation & Performance
Test prompts and models:Run structured experiments on system prompts, context retrieval, and model selection to improve output quality, seller adoption, and deal velocity.
Monitor live performance:Track, audit, and improve agent behavior and prompt accuracy in production, and fix output drift or performance gaps as they show up.
Data, Enablement & Governance
Use enterprise data:Work with the Data and BI teams to tap into Snowflake and Databricks so agents can draw on real-time customer and pipeline data.
Drive field adoption:Build practical prompt libraries, quick-reference playbooks, and short training sessions that show sellers how to get real value from these tools.
Keep it responsible:Make sure every prompt, workflow, and data pipeline meets our security, privacy, and responsible AI standards.
Required Qualifications
3 to 5 years in Sales Operations,RevOps, GTM strategy, or AI operations, with hands-on experience putting prompt-engineered workflows or LLM agents into production.
Proven ability to write complex prompts and build agentic workflows on enterprise AI platforms such as SalesforceAgentforce, Microsoft Copilot Studio, Claude Code or Claude for Work, Gemini Enterprise, or ChatGPT Enterprise.
Strong working knowledge of Salesforce and comfort with enterprise data environments like Snowflake and Databricks.
A builder's mindset. You enjoy testing, troubleshooting, and shipping working automations rather than just putting together slide decks.
Comfortable using data through SQL, Power BI, or spreadsheets to track adoption, agent performance, and productivity gains in the field.
Preferred Qualifications
Experience with revenue intelligence tools like Clari, Gong, People.ai, and other GTM tools.
Relevant certifications are a plus, including SalesforceAgentforce, Microsoft Copilot accreditation,Azure AI Fundamentals,orrecognized prompt engineering or enterprise AI certifications.
Core Competencies
Prompt engineering and agent design
GTM execution and workflow automation
Working knowledge of Salesforce, Snowflake, and Databricks
Rapid prototyping and experimentation
What Success Looks Like
Sellers spend measurably fewer hours a week on admin work.
Agentforce, Copilot, and custom prompts see strong, active use across the field.
Live prompts and agents run with low error and drift rates.
A standardized prompt library and GTM agent catalog are up and actively used.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
Sales OperationsJob Level:
Specialist"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
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All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Builds servers, networking and private cloud
Hewlett Packard Enterprise sells servers, storage, networking and hybrid cloud software to large companies, governments and service providers. Its GreenLake platform lets customers run on-premises hardware as a metered cloud service, and its Cray supercomputers run national lab and AI training workloads. The networking business, built on Aruba and Juniper Networks, supplies campus, data-center and routing equipment. Revenue comes from hardware sales, multiyear support contracts, financing and subscriptions. The company traces its roots to Hewlett-Packard, founded in 1939, became a separate public company in 2015 and is headquartered in Houston, Texas.
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