Sales Engineering Manager Jobs in Georgia
Sales Engineering Manager jobs in Georgia are in strong demand, with the highest concentration in cloud infrastructure, industrial automation, and cybersecurity sales across a market that supports contributors from team lead to senior director. Atlanta is the dominant hiring metro, anchored by companies like Honeywell, NCR Voyix, and Cisco, while Savannah and Augusta add openings tied to manufacturing, logistics technology, and defense-sector systems. Pre-sales strategy, SaaS solution engineering, and channel partner management are the specialties Georgia employers recruit most consistently. Find a role that fits below and apply directly.
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Showing 5 of 17+ Sales Engineering Manager jobs
About NCR VOYIX
NCR Voyix Corporation (NYSE: VYX) is a global platform-powered leader in unified commerce for shopping and dining. Combining a flexible, intelligent platform with end-to-end payments capabilities and services developed through its deep industry experience, NCR Voyix empowers retailers and restaurants to accelerate new possibilities for their operations, experiences and business outcomes. NCR Voyix is headquartered in Atlanta, Georgia, and serves customers in more than 35 countries worldwide.
Job title: Associate Applied Engineer, Sales Engineering
Job location: Atlanta, Georgia
Work dynamic: Office based
Position purpose
The Applied Engineer turns NCR Voyix platform capability into something a customer can see, test and decide on. The role works with Engineering, Product, Sales and customer stakeholders to show how Voyix Edge, cloud-native infrastructure and modern integrations address operational problems, and what those problems are worth solving. The primary focus is building customer-facing demonstrations, prototypes and integrations, evaluating operational workflows, validating platform capability in real environments, and connecting what the technology does to a measurable business outcome.
This is an AI-native seat. The person in it is expected to build with agentic AI tooling every day, and the hiring bar reflects that. The next section sets out what is meant by it, because candidates are screened against it.
How this team works with AI:
Read this section before applying. It is the part of the role most candidates misjudge.
The team works through agentic AI tools that read a codebase, write files, run commands and operate on real data: Claude Code, Cursor, Codex, GitHub Copilot in agent mode, and whatever replaces them. AI is the default way output gets produced here, whether that output is a demonstration environment, an integration, a data analysis, an internal tool or a customer presentation.
A normal week in this role includes:
- Building a working application, prototype or interactive model with an agent doing most of the typing, and reviewing what it produced before anyone sees it
- Standing up an agent, script or automation for a task that repeats, so it stops being done by hand
- Putting call transcripts, customer documents and operational data through a model, and turning the result into something a customer team can act on
- Producing a customer deck or a quantified business case from source material the model reads for you
- Writing the prompts, instruction files, tool definitions and context that make the output consistent enough to use in front of a customer
- Knowing where the tooling gets things wrong and checking it, because a wrong number in front of a customer is yours
- Conversational chatbot use is the baseline we assume every candidate arrives with. This role starts well past it. We are hiring people who have already rebuilt the way they work around these tools and can show what that produced.
Key Responsibilities:
- Make the NCR Voyix platform tangible for customers by building demonstrations, integrations and proofs of concept that show how Voyix Edge operates inside a real restaurant environment and alongside the technology the customer already runs.
- Build those assets with AI tooling as the primary method, at a volume and pace that is not reachable without it, and take responsibility for validating what the tooling produces before it reaches a customer.
- Connect platform capability to operational outcomes by analyzing customer workflows, validating improvement opportunities and quantifying impact on speed of service, labor efficiency, throughput and operational performance.
- Strengthen the NCR Voyix competitive position by showing how an open, edge-native platform deploys, integrates and scales alongside customer applications in ways closed-platform competitors cannot.
- Expand the effectiveness of Sales Engineering by developing reusable demos, technical assets and implementation patterns that shorten the path from customer requirement to working solution, and that reduce the dependency on Product Engineering for sales-cycle support.
- Build the internal AI tooling the wider team uses, including prompts, instruction files, agents and automations, and show colleagues how to work the same way.
- Shape platform adoption and future development by carrying customer feedback, operational findings and emerging requirements back to Product and Engineering to influence roadmap priorities.
Qualifications:
Required:
- Bachelor's degree in Industrial Engineering, Systems Engineering, Operations Research, Computer Engineering, Software Engineering or a related quantitative discipline.
- Daily, hands-on use of agentic AI development tools such as Claude Code, Cursor, Codex or GitHub Copilot in agent mode, used to build and ship working output rather than to answer questions. Conversational chatbot use on its own does not meet this requirement.
- Work you built yourself with those tools that you can demonstrate and explain: an application, an agent, an automation, an analysis pipeline, a data product or a document and presentation system. Expect to walk through how you directed the model, where it went wrong and what you did about it.
- Ability to analyze a complex operational or technical problem and turn the findings into a practical, data-driven recommendation.
- Experience with Python, SQL or similar analytical and development tools, including working in them through an AI coding tool.
- Familiarity with APIs, cloud platforms, software integrations, containerized environments or related technical concepts.
- Strong analytical, quantitative and structured problem-solving skills.
- Strong written, verbal and presentation skills, with the ability to communicate effectively with technical and non-technical audiences.
- Ability to connect a technical concept to an operational outcome and a business value.
- Comfort engaging directly with customers and participating in both technical and business discussions.
- Ability to collaborate across Engineering, Product and customer-facing teams.
- Willingness to travel to customer locations as needed.
Preferred:
- Experience building against an LLM API or an agent framework: tool use, retrieval, structured output, evaluation of results.
- Prompt and context engineering: instruction files, reusable skills, model evaluation, prompts kept under version control.
- AI use outside of code, including transcript and document analysis, research, deck and document generation, and data cleanup at volume.
- A public artifact built this way: a repository, a working demo, a site or a writeup.
- An internship or co-op in a commercial, operations or technology function.
- Restaurant, retail or hospitality experience in any capacity, including hourly.
What the interview covers:
One portion of the interview is a walkthrough of something you built with AI tooling. Bring it, open it, and be ready to go through how you directed the model, what it got wrong, how you caught it and what you would do differently. Candidates who can only describe AI use in general terms do not pass this stage.
Offers of employment are conditional upon passage of screening criteria applicable to the job
EEO Statement
Integrated into our shared values is NCR Voyix’s commitment to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. NCR Voyix is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential. We believe in understanding and respecting differences among all people. Every individual at NCR Voyix has an ongoing responsibility to respect and support a globally diverse environment.
Statement to Third Party Agencies
To ALL recruitment agencies: NCR Voyix only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Voyix employees, or any NCR Voyix facility. NCR Voyix is not responsible for any fees or charges associated with unsolicited resumes
“When applying for a job, please make sure to only open emails that you will receive during your application process that come from a @ncrvoyix.com email domain.”
About NCR VOYIX
NCR Voyix Corporation (NYSE: VYX) is a global platform-powered leader in unified commerce for shopping and dining. Combining a flexible, intelligent platform with end-to-end payments capabilities and services developed through its deep industry experience, NCR Voyix empowers retailers and restaurants to accelerate new possibilities for their operations, experiences and business outcomes. NCR Voyix is headquartered in Atlanta, Georgia, and serves customers in more than 35 countries worldwide.
Job title: Associate Applied Engineer, Sales Engineering
Job location: Atlanta, Georgia
Work dynamic: Office based
Position purpose
The Applied Engineer turns NCR Voyix platform capability into something a customer can see, test and decide on. The role works with Engineering, Product, Sales and customer stakeholders to show how Voyix Edge, cloud-native infrastructure and modern integrations address operational problems, and what those problems are worth solving. The primary focus is building customer-facing demonstrations, prototypes and integrations, evaluating operational workflows, validating platform capability in real environments, and connecting what the technology does to a measurable business outcome.
This is an AI-native seat. The person in it is expected to build with agentic AI tooling every day, and the hiring bar reflects that. The next section sets out what is meant by it, because candidates are screened against it.
How this team works with AI:
Read this section before applying. It is the part of the role most candidates misjudge.
The team works through agentic AI tools that read a codebase, write files, run commands and operate on real data: Claude Code, Cursor, Codex, GitHub Copilot in agent mode, and whatever replaces them. AI is the default way output gets produced here, whether that output is a demonstration environment, an integration, a data analysis, an internal tool or a customer presentation.
A normal week in this role includes:
- Building a working application, prototype or interactive model with an agent doing most of the typing, and reviewing what it produced before anyone sees it
- Standing up an agent, script or automation for a task that repeats, so it stops being done by hand
- Putting call transcripts, customer documents and operational data through a model, and turning the result into something a customer team can act on
- Producing a customer deck or a quantified business case from source material the model reads for you
- Writing the prompts, instruction files, tool definitions and context that make the output consistent enough to use in front of a customer
- Knowing where the tooling gets things wrong and checking it, because a wrong number in front of a customer is yours
- Conversational chatbot use is the baseline we assume every candidate arrives with. This role starts well past it. We are hiring people who have already rebuilt the way they work around these tools and can show what that produced.
Key Responsibilities:
- Make the NCR Voyix platform tangible for customers by building demonstrations, integrations and proofs of concept that show how Voyix Edge operates inside a real restaurant environment and alongside the technology the customer already runs.
- Build those assets with AI tooling as the primary method, at a volume and pace that is not reachable without it, and take responsibility for validating what the tooling produces before it reaches a customer.
- Connect platform capability to operational outcomes by analyzing customer workflows, validating improvement opportunities and quantifying impact on speed of service, labor efficiency, throughput and operational performance.
- Strengthen the NCR Voyix competitive position by showing how an open, edge-native platform deploys, integrates and scales alongside customer applications in ways closed-platform competitors cannot.
- Expand the effectiveness of Sales Engineering by developing reusable demos, technical assets and implementation patterns that shorten the path from customer requirement to working solution, and that reduce the dependency on Product Engineering for sales-cycle support.
- Build the internal AI tooling the wider team uses, including prompts, instruction files, agents and automations, and show colleagues how to work the same way.
- Shape platform adoption and future development by carrying customer feedback, operational findings and emerging requirements back to Product and Engineering to influence roadmap priorities.
Qualifications:
Required:
- Bachelor's degree in Industrial Engineering, Systems Engineering, Operations Research, Computer Engineering, Software Engineering or a related quantitative discipline.
- Daily, hands-on use of agentic AI development tools such as Claude Code, Cursor, Codex or GitHub Copilot in agent mode, used to build and ship working output rather than to answer questions. Conversational chatbot use on its own does not meet this requirement.
- Work you built yourself with those tools that you can demonstrate and explain: an application, an agent, an automation, an analysis pipeline, a data product or a document and presentation system. Expect to walk through how you directed the model, where it went wrong and what you did about it.
- Ability to analyze a complex operational or technical problem and turn the findings into a practical, data-driven recommendation.
- Experience with Python, SQL or similar analytical and development tools, including working in them through an AI coding tool.
- Familiarity with APIs, cloud platforms, software integrations, containerized environments or related technical concepts.
- Strong analytical, quantitative and structured problem-solving skills.
- Strong written, verbal and presentation skills, with the ability to communicate effectively with technical and non-technical audiences.
- Ability to connect a technical concept to an operational outcome and a business value.
- Comfort engaging directly with customers and participating in both technical and business discussions.
- Ability to collaborate across Engineering, Product and customer-facing teams.
- Willingness to travel to customer locations as needed.
Preferred:
- Experience building against an LLM API or an agent framework: tool use, retrieval, structured output, evaluation of results.
- Prompt and context engineering: instruction files, reusable skills, model evaluation, prompts kept under version control.
- AI use outside of code, including transcript and document analysis, research, deck and document generation, and data cleanup at volume.
- A public artifact built this way: a repository, a working demo, a site or a writeup.
- An internship or co-op in a commercial, operations or technology function.
- Restaurant, retail or hospitality experience in any capacity, including hourly.
What the interview covers:
One portion of the interview is a walkthrough of something you built with AI tooling. Bring it, open it, and be ready to go through how you directed the model, what it got wrong, how you caught it and what you would do differently. Candidates who can only describe AI use in general terms do not pass this stage.
Offers of employment are conditional upon passage of screening criteria applicable to the job
EEO Statement
Integrated into our shared values is NCR Voyix’s commitment to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. NCR Voyix is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential. We believe in understanding and respecting differences among all people. Every individual at NCR Voyix has an ongoing responsibility to respect and support a globally diverse environment.
Statement to Third Party Agencies
To ALL recruitment agencies: NCR Voyix only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Voyix employees, or any NCR Voyix facility. NCR Voyix is not responsible for any fees or charges associated with unsolicited resumes
“When applying for a job, please make sure to only open emails that you will receive during your application process that come from a @ncrvoyix.com email domain.”
See All 17 Sales Engineering Manager Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find JobsSales Engineering Manager Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Sales Engineering Manager Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
- Lockheed Martin10
- NCR1
- UST1
- HomeGoods1
- White Cap1
What Georgia Employers Look For
The qualifications that appear most often in sales engineering manager jobs across Georgia.
- Bachelor's degree in engineering, computer science, or a technical field required
- Five or more years of experience in sales engineering or technical pre-sales roles
- Proven ability to lead and coach a team of sales engineers toward quota attainment
- Deep technical proficiency in SaaS platforms, cloud infrastructure, or industrial systems
- Experience collaborating with enterprise account executives on complex solution sales cycles
- Strong presentation and communication skills for C-suite and technical buyer audiences
Sales Engineering Manager Jobs in Georgia: Frequently Asked Questions
How do you become a sales engineering manager in Georgia?
Most Georgia employers require a bachelor's degree in engineering, computer science, or a closely related technical discipline, combined with several years as an individual contributor sales engineer before moving into management. Georgia does not issue a state-specific license for this role, so advancement depends on demonstrated quota achievement, team leadership experience, and technical depth. Earning a Certified Sales Engineer credential or completing a management development program at a large Georgia employer strengthens candidacy considerably.
How much do sales engineering managers make in Georgia?
Sales engineering managers in Georgia earn a median of about $159,890 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $79,560 for the lowest 10% to over $292,490 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire sales engineering managers in Georgia?
Employers hiring sales engineering managers in Georgia right now include Lockheed Martin, NCR, and UST, based on current listings on Migrate Mate as of November 2026. Georgia's concentration of Fortune 500 headquarters and regional technology hubs in metro Atlanta means large enterprise software, industrial automation, and cybersecurity firms maintain consistent hiring pipelines for this role.
Which Georgia cities have the most sales engineering manager jobs?
Marietta, Atlanta, and Norcross account for the most sales engineering manager openings in Georgia. Atlanta drives the largest share because of its density of enterprise technology companies, corporate headquarters, and regional sales offices, while Savannah and Augusta attract openings from manufacturers and defense contractors deploying technical sales teams across the Southeast.
Are there remote sales engineering manager jobs in Georgia?
Yes, and more than many management roles, since sales engineering work centers on virtual demos, video presentations, and collaborative deal strategy rather than fixed on-site operations. About 100% of sales engineering manager openings tied to Georgia are remote or hybrid as of November 2026, reflecting how broadly technology companies have normalized distributed pre-sales teams. Customer discovery calls and team coaching sessions are the functions most commonly conducted fully remotely.
How can I get hired as a sales engineering manager in Georgia with little or no experience?
The most realistic path is moving into a team lead or lead sales engineer role first, taking on mentorship responsibilities before pursuing a manager title. Georgia-based technology employers like Honeywell and NCR Voyix regularly promote strong individual contributors into player-coach positions that bridge the gap. Building a portfolio of closed enterprise deals, earning a recognized sales engineering certification, and stepping into cross-functional project leadership within your current organization are the credentials Georgia hiring managers look for before extending a management offer.
Where can I find and apply to sales engineering manager jobs in Georgia?
You can find and apply to sales engineering manager jobs in Georgia on Migrate Mate, which lists current openings tied to Georgia employers. Search the listings for roles that match your technical background and territory experience, then apply directly to the ones that fit.
See All 17 Sales Engineering Manager Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
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