Cloud Sales Engineer Jobs in Pennsylvania
Cloud Sales Engineer jobs in Pennsylvania are actively sought across the state's technology, financial services, and healthcare IT sectors, with openings at every level from associate pre-sales engineer through senior solutions architect. Philadelphia and Pittsburgh lead hiring volume, with suburban markets around Malvern and Wayne adding depth thanks to long-established technology corridors along the Main Line. IBM, Comcast, and SAP America all maintain significant Pennsylvania presences and regularly recruit cloud sales engineers, particularly those with expertise in hybrid cloud architecture, SaaS solution selling, and AWS or Azure platform specializations. Find a role that fits below and apply directly.
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Showing 5 of 33+ Cloud Sales Engineer jobs
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.
This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.
This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
See All 33 Cloud Sales Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Cloud Sales Engineer JobsCloud Sales Engineer Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Cloud Sales Engineer Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
- Government & Public Sector
- Healthcare & Medical Services
What Pennsylvania Employers Look For
The qualifications that appear most often in cloud sales engineer jobs across Pennsylvania.
- Bachelor's degree in computer science, information technology, or a closely related field
- Three or more years of pre-sales, solutions engineering, or technical sales experience
- Hands-on expertise with at least one major cloud platform such as AWS, Azure, or Google Cloud
- Demonstrated ability to deliver technical product demonstrations and proof-of-concept engagements
- Experience managing enterprise or mid-market sales cycles alongside account executive teams
- Strong written and verbal communication skills for translating technical concepts to business audiences
Cloud Sales Engineer Jobs in Pennsylvania: Frequently Asked Questions
How do you become a cloud sales engineer in Pennsylvania?
Most cloud sales engineer roles in Pennsylvania require a bachelor's degree in computer science, information systems, or engineering paired with hands-on experience in cloud infrastructure or software sales. Pennsylvania does not issue a state license for this role, so employers focus on vendor certifications from AWS, Microsoft, or Google alongside a proven record of technical pre-sales work. Starting in a help desk, systems administrator, or inside sales engineering position at a Philadelphia or Pittsburgh technology firm is a common entry path.
How much do cloud sales engineers make in Pennsylvania?
Cloud sales engineers in Pennsylvania earn a median of about $98,500 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $62,960 for the lowest 10% to over $140,820 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire cloud sales engineers in Pennsylvania?
Employers hiring cloud sales engineers in Pennsylvania right now include Vanguard, BNY, and Google, based on current listings on Migrate Mate as of November 2026. Pennsylvania's concentration of enterprise technology companies, large financial institutions, and major health systems means demand for cloud sales engineers extends well beyond the largest metros into suburban corridors like the Route 202 tech belt outside Philadelphia.
Which Pennsylvania cities have the most cloud sales engineer jobs?
Philadelphia, Pittsburgh, and Mechanicsburg have the most cloud sales engineer openings in Pennsylvania. Philadelphia dominates because of its dense cluster of financial services firms, health systems, and enterprise technology offices, while Pittsburgh's growing technology scene anchors demand in the west, and suburban markets such as Malvern and King of Prussia contribute meaningfully due to the long-established technology company campuses along the Main Line.
Are there remote cloud sales engineer jobs in Pennsylvania?
Yes, and more than most fields. About 78% of cloud sales engineer openings tied to Pennsylvania are remote or hybrid as of November 2026, reflecting how much of the role centers on virtual product demonstrations, digital proof-of-concept sessions, and web-based customer discovery calls. The most fully remote work tends to fall on discovery, proposal development, and post-sale technical enablement rather than on-site executive briefings or in-person deal closings.
How can I get hired as a cloud sales engineer in Pennsylvania with little or no experience?
The most realistic entry path is transitioning from a systems administrator, inside sales, or technical support role at a Pennsylvania technology company or managed service provider, then moving into a junior solutions engineer or associate pre-sales position. Large Philadelphia-area employers in financial technology and healthcare IT frequently hire associate pre-sales engineers who hold an AWS Cloud Practitioner or Microsoft Azure Fundamentals certification even without formal sales experience. Building a portfolio of demo recordings or proof-of-concept writeups strengthens any application significantly.
Where can I find and apply to cloud sales engineer jobs in Pennsylvania?
You can find and apply to cloud sales engineer jobs in Pennsylvania on Migrate Mate, which lists current openings from employers actively hiring across the state. Search the available roles, identify the ones that match your experience and location preferences, and apply directly to each one.
See All 33 Cloud Sales Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Cloud Sales Engineer Jobs