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Ai Sales Engineer Jobs in Raleigh, NC (NOW HIRING)

Digital.ai

Enterprise Account Executive

Raleigh, NC · On-site

Partner closely with Sales Engineering, Product Management, Customer Success, and Marketing to deliver compelling customer solutions. * Successfully displace incumbent vendors and position Digital.ai ...

Digital.ai

Enterprise Account Executive

Raleigh, NC · On-site

Partner closely with Sales Engineering, Product Management, Customer Success, and Marketing to deliver compelling customer solutions. * Successfully displace incumbent vendors and position Digital.ai ...

Flexgen

Application Engineer - Data Center

Durham, NC · On-site

Our advanced analytics and AI-driven insights enable energy storage owners to effectively deploy ... Partner with the Sales and Business Development teams to position HybridOS™ EMS and ESS solutions ...

Framework Ventures

Senior Solutions Engineer

Raleigh, NC · On-site

$110 - $160/hr

Through Glance AI, we are shaping AI Commerce, reimagining the future of e‑commerce with ... Act as internal liaison between Regional Sales and Product & Engineering teams while managing ...

Qualys

ETM Sales Specialist

Raleigh, NC · On-site

You will partner closely with Account Executives, Sales Engineers, and Customer Success teams to ... Experience with AI models and adoption techniques Qualys is an Equal Opportunity Employer, please ...

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All JobsAi Sales Engineer JobsAi Sales Engineer Jobs in Raleigh, NC

Ai Sales Engineer information

See Raleigh, NC salary details

$38.5K

$85K

$131.7K

How much do ai sales engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai sales engineer in Raleigh, NC is $85,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $99,500.00 per year, depending on experience, location, and employer.

How does an AI Sales Engineer typically collaborate with both technical and non-technical teams during the sales process?

As an AI Sales Engineer, you'll act as a vital bridge between customers, sales teams, and technical experts. You'll regularly work with account executives to understand client needs, while also collaborating with AI product and engineering teams to customize solutions and address technical questions. Effective communication is key, as you'll need to translate complex AI concepts into clear value propositions for clients with varying technical backgrounds. This collaborative approach ensures that clients receive solutions tailored to their business goals and that internal teams are aligned throughout the sales cycle.

What are the key skills and qualifications needed to thrive as an AI Sales Engineer, and why are they important?

To thrive as an AI Sales Engineer, you need a solid background in computer science or engineering, strong technical sales acumen, and an understanding of AI/ML concepts. Familiarity with CRM systems, AI platforms (like TensorFlow or PyTorch), and relevant certifications such as AWS Certified Machine Learning or Google Cloud AI credentials are common requirements. Outstanding communication, problem-solving ability, and the capacity to translate complex technical concepts for diverse audiences are crucial soft skills. These competencies enable effective bridging of technical and business needs, driving successful AI solution adoption and customer satisfaction.

What is the difference between Ai Sales Engineer vs Data Scientist?

AspectAi Sales EngineerData Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of AI productsBachelor's or higher in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentCustomer-facing, technical sales, collaboration with sales and engineering teamsData analysis, model development, research, often in office or lab settings
Employer & Industry UsageTech companies, AI solution providers, startupsTech firms, research institutions, finance, healthcare
Common Search & ComparisonYesNo

The main difference between an Ai Sales Engineer and a Data Scientist lies in their focus. Ai Sales Engineers primarily engage in technical sales, demonstrating AI solutions to clients, while Data Scientists analyze data to develop models. Both roles require technical knowledge, but their work environments and objectives differ significantly.

What are popular job titles related to Ai Sales Engineer jobs in Raleigh, NC?

For Ai Sales Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Ai Sales Engineer jobs in Raleigh, NC look for?

The top searched job categories for Ai Sales Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Sales Engineer jobs?

Cities near Raleigh, NC with the most Ai Sales Engineer job openings:

Ai Sales Engineer jobs near you
Infographic showing various Ai Sales Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $85,042 per year, or $40.9 per hour.

Pre- & Post-Sales Customer Engineer, Enterprise

Pendo

Raleigh, NC • On-site

Full-time

Retirement

Posted 25 days ago

Job description

The Team + The Role
Pendo's Customer Engineering team is the technical backbone of the company's pre- and post-sales customer motion. The team supports growth by bringing technical ownership across the full customer lifecycle, from discovery and evaluation through implementation, adoption, retention, and expansion.
As a Customer Engineer, you are the primary technical resource for a portfolio of Commercial accounts. You partner with Account Directors to own discovery, demos, onboarding, technical health, risk, and expansion strategy. You serve as a trusted technical advisor who helps customers drive outcomes with Pendo.
This role is based in our Raleigh office.
What this looks like day-to-day
  • Customer acquisition: Partner with Account Directors to understand customer pain, business goals, and technical requirements. Craft and deliver demos, define success criteria, guide installation, and lead hands-on technical evaluations and workshops.
  • Technical discovery and implementation: Lead discovery conversations across product stacks, integration environments, and customer goals. Own onboarding for purchased modules, troubleshoot integrations, and answer technical questions related to APIs, data models, configuration, and front-end implementation.
  • Adoption and value: Monitor usage signals, identify low adoption or configuration drift, and act before issues become escalations. Facilitate enablement workshops, support account health planning, and help customers measure and articulate the ROI of Pendo.
  • Retention and expansion: Identify technical expansion paths in your portfolio and hand them to Account Directors with clear deployment plans and business rationale. Support growth opportunities by bringing a strong technical point of view on customer needs, readiness, and value.
  • Risk ownership: Own the technical dimension of account risk, including champion turnover, integration issues, stalled rollouts, and technical blockers. Document risks in Salesforce, build mitigation plans with Account Directors, execute resolutions, and escalate to leadership when broader support is needed.
  • Account operations: Maintain accurate account documentation in Salesforce and keep Account Directors informed on priorities, risks, and next steps. Use tools including Salesforce, Pendo admin, Gong, and AI workflows to support account research, call preparation, knowledge capture, and troubleshooting.
  • Team contribution: Contribute to the Customer Engineering knowledge base, document fixes, share playbooks, and coach peers. Own outcomes beyond your portfolio by helping improve how the team works, scales, and solves recurring technical challenges.
Who You Are
Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.
You're a builder, not a maintainer.
You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.
You're AI-curious - genuinely.
You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything - how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.
Must-haves
  • 3 to 5 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Success Engineering, implementation, or professional services.
  • Hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to inspect, troubleshoot, and configure front-end implementations.
  • Experience managing a portfolio of accounts with competing priorities, customer needs, technical workstreams, and commercial deadlines.
  • Ability to explain technical concepts clearly to technical and non-technical audiences, including customers, Account Directors, and internal stakeholders.
  • Experience working in enterprise software and complex B2B customer environments.
  • Active use of AI tools to accelerate workflows such as account research, call preparation, troubleshooting, and knowledge capture.
  • Ability to operate effectively in a pod model by knowing when to lead, when to partner with an Account Director, and how to stay aligned across the customer lifecycle.
Nice-to-haves
  • Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling.
  • Familiarity with product management, user experience, or digital transformation domains.
  • Experience with data integration, event tracking, or analytics instrumentation.
  • Track record of owning technical metrics such as adoption and implementation quality alongside commercial outcomes such as retention and expansion.
About Pendo
Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.
Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.
Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.
Compensation: The expected On-Target Earnings (OTE) range for this role is USD $158,959 - USD $198,699, with a 70/30 base-to-variable compensation split.
Benefits: Highly competitive, employer-heavy coverage including $0 premium options, strong 401(k) match, equity, and flexible time off.
EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.
Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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