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Remote Embedded Ai Jobs in Raleigh, NC (NOW HIRING)

Xplor

Account Executive

Durham, NC · On-site +1

$100K/yr

Through modern vertical software, embedded payments (Xplor Pay), and AI-powered capabilities, we ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

Xplor

Account Executive

Cary, NC · On-site +1

$100K/yr

Through modern vertical software, embedded payments (Xplor Pay), and AI-powered capabilities, we ... You can work fully remote in this position, provided you have eligible working rights, and are able ...

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All JobsEmbedded Ai JobsRemote Embedded Ai JobsRemote Embedded Ai Jobs in Raleigh, NC

Remote Embedded Ai information

See Raleigh, NC salary details

$68K

$149.1K

$169.1K

How much do remote embedded ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote embedded ai in Raleigh, NC is $149,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $168,200.00 per year, depending on experience, location, and employer.

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are popular job titles related to Remote Embedded Ai jobs in Raleigh, NC?

For Remote Embedded Ai jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Ai jobs in Raleigh, NC look for?

The top searched job categories for Remote Embedded Ai jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Embedded Ai jobs?

Cities near Raleigh, NC with the most Remote Embedded Ai job openings:

Remote Embedded Ai jobs near you
Infographic showing various Remote Embedded Ai job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $149,101 per year, or $71.7 per hour.

Principal Product Commercialization Specialist - Channels

SAS

Cary, NC • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Principal, Product Commercialization for Channels- Hybrid, Cary, North Carolina or Hybrid, Scotland or Remote in EST time zone

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.

If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

 

About the job

The Principal Product Commercialization Specialist is responsible for maximizing revenue and adoption of channel product expansions and Cross Functional/Cross Business technology offerings. Direct accountabilities include assessing state of the market and current performance, providing business strategy recommendations to meet corporate growth targets, elevating positioning and compete plans, pricing and packaging, and driving launch to adoption of key products and features. This role will focus on existing and emerging markets, portfolio business acquisitions (M&A), and multiple complex product lines. The Product Commercialization Specialist for Channel Partners will lead and shape the company’s R&D vision and offerings. This role is pivotal in establishing vision and strategy, driving cross-functional alignment, and ensuring R&D teams are enabled to solve the highest value opportunities.

As a Principal, Product Commercialization for Channels, you will:   

• Strategy and Vision: Develop and continuously refine the vision and strategy for Channels.  Recommends product strategy across multiple portfolios to meet corporate growth/strategy targets over the next 3 years. Leverages data and market expertise to influence organizational direction and corporate strategy. Defines and prioritizes product requirements based on customer, prospect, and evaluator inputs, market direction and field contribution.
• Cross-functional Leadership: Partner and align with Sales, embedded Product Management, Marketing, and Industry Leads to define and exceed commercial goals. Serves as the primary product point of contact for Sales and Marketing and represents R&D.
• Market Intelligence: Serve as an expert on market intelligence, customers (on premises and SaaS), evaluators, and competitors to inform strategy. Conducts external, market-driven discovery and research to drive offering strategy.
• Data-Driven Decisions: Provide analysis for quarterly business reviews including commercial health of offerings, competitive position, customer/prospect feedback, market dynamics, and key value creation opportunities. Owns health and trends including annual bookings, win rate, attach rates, penetration, profitability, and retention.
• Value Creation & Ideation: Creates an ideation pipeline of new offerings for future investment understanding the pervasiveness of market problems and propensity to pay, as well as buy/build/partner and monetization recommendations.Leads product acquisition functional due diligence and gap analysis for M&A targets and key partnerships.
• Prioritize: Rationalizes key opportunities and partners with product management and Global Engineering teams to prioritize the highest value problems to solve and partners with teams during execution, launch, and post-launch adoption.
• Launch: Represents product team in packaging and pricing strategy. Contributes to launch planning of new products and releases. Defines adoption and utilization strategy for key offerings with cross-functional partners.
• Evangelize: Partners with Marketing and Industry cross-functional team to evangelize the product differentiation and new innovations both internally and externally (industry analysts, innovation awards). Leads Channel innovation updates and discovery with partner user groups, advisory boards, and key accounts or prospects. Expert in market problems solved in products and ability to speak to and demonstrate within offerings.
• Values: Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications 

• Bachelor’s degree in Business, Engineering, Computer Science, or a related field; advanced degree (MBA or equivalent) preferred.
• Twelve years of overall relevant ent experience including
o 8+ years of progressive experience in tech solutioning, product management, product strategy, or product marketing overseeing complex B2B product portfolios and
o 3 or more years with domain experience in enterprise analytics and data enablement; experience with SAS preferred.
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications. 
• Demonstrates expert level product knowledge with external audiences, such as press, thought leaders, analysts, speaking engagements at trade shows and user groups, etc.
• Deep domain/market understanding for building channel / reseller experiences, monetization,and software development lifecycle as well as both on premise and SaaS delivery models.
• Proven track record of developing and executing market-driven product strategies that deliver measurable value through innovation
• Deep experience in discovery, market research, articulating business value, and investment trade-off decisioning.
• Proven track record of building strong cross-functional partnerships to scale and drive growth.
• Ability to travel required up to 15%.

Additional competencies, knowledge and skills 

• Identifies, leads and provides recommended actions for emerging technology and business issues that present opportunities or threats to SAS and specific SAS target Industry.
• Identifies, leads and develops business plans for new market opportunities within the company’s distinctive competence.
• Build Partnerships- Developing and leveraging relationships within and across work groups to achieve results.

• Influencing- Using effective involvement and persuasion strategies to gain acceptance of ideas and commitment to actions that support specific work outcomes.

• Establish Strategic Direction- Establishing and committing to a long-term business direction based on an analysis of systemic information and consideration of resources, market drivers, organizational values, and emerging economic, technological, and regulatory conditions.

You are welcome here.

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

Additional Information:

To qualify, applicants must be legally authorized to work in the United States or Scotland, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. 

Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.

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