2

Remote Embedded Ai Jobs in Kansas (NOW HIRING)

CEO / General Manager -- Vertical SaaS (Talent Community) Remote | United States Let's Start the ... Shipped AI-embedded product capabilities with measurable customer outcomes, or led sustained AI ...

AI capabilities embedded in our customer-facing products * IT infrastructure or platform decisions ... Remote work and more! About Service-Link: Service-Link specializes in optimizing fieldwork ...

AI capabilities embedded in our customer-facing products * IT infrastructure or platform decisions ... Remote work and more! About Service-Link: Service-Link specializes in optimizing fieldwork ...

$54.50 - $74.75/hr

This is remote based role with location either in the US or Ontario, Canada. Primary ... You will architect and enable AI use cases, including embedded IFS AI offerings: * Service planning ...

CTO / Engineering Leadership -- Vertical SaaS (Talent Community) Remote | United States Let's Start ... Shipped AI-embedded product capabilities with measurable customer outcomes, or led sustained AI ...

$89K - $123K/yr

Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... Knowledge of edge device deployment and embedded systems for AI inference * Experience with MLOps ...

... embedded muscle memory, and migration paths that don't break production. Build and validate ... Use AI-powered design and prototyping tools to create coded prototypes for user testing and ship ...

... embedded muscle memory, and migration paths that don't break production. Build and validate ... Use AI-powered design and prototyping tools to create coded prototypes for user testing and ship ...

Remote (United States or Canada) Type: US - Full time; Canada - Independent Contractor About Human ... We are becoming the AI entrepreneur embedded inside the biggest companies in America - the team ...

$99K - $100K/yr

... in a fully remote operating environment Customer Engagement and Account Management * Serves as ... applied to embedded systems * Ability to ramp quickly on AI and agentic AI platforms and ...

Remote Embedded Ai information

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 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 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 are the key skills and qualifications needed to thrive as a Remote Embedded AI Engineer, and why are they important?

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 popular job titles related to Remote Embedded Ai jobs in Kansas? For Remote Embedded Ai jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Ai jobs in Kansas look for? The top searched job categories for Remote Embedded Ai jobs in Kansas are:
What cities in Kansas are hiring for Remote Embedded Ai jobs? Cities in Kansas with the most Remote Embedded Ai job openings:
Infographic showing various Remote Embedded Ai job openings in Kansas as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Chief Executive Officer | Vertical SaaS - Ongoing & Future Opportunities

Banyan Software

Remote

Other

Posted 5 days ago


Job description

CEO / General Manager -- Vertical SaaS (Talent Community)

Remote | United States

Let's Start the Conversation

Our portfolio is growing continuously, with over 100 companies across healthcare, financial services, government, education, transportation, media, energy, manufacturing, and more. That growth creates new executive leadership opportunities on a regular basis.

We are always interested in connecting with exceptional CEOs and general managers in vertical SaaS. Product-led commercial operators who lead with AI-first conviction, reposition ahead of market pressure, and want to build something that lasts. If that sounds like you, we would love to get to know you now, with the future in mind.

The Opportunity

As CEO of a Banyan portfolio company, you would lead the full business, owning strategy, product direction, go-to-market execution, team performance, and P&L outcomes. You would report to a Banyan Operating Partner and have full operational authority over how you run the company day to day.

Our companies serve specific industries with mission-critical software. Customers depend on the product daily and rarely leave. The business has to be durable, the product has to be the primary competitive advantage, and the opportunity to create structural distance through AI is real.

The scope will vary by company, but the mandate stays the same: grow recurring revenue, protect the retention that makes it durable, and lead the business through whatever comes next.

Who You Are

You are a product-led SaaS leader and commercial operator who leads with an AI-first mindset and is energized by the opportunity to create real, lasting business value. You have held executive responsibility at a vertical SaaS company with a track record of treating product as a primary strategic lever, building repeatable go-to-market motions, and leading your organization through at least one meaningful inflection point before the market forced the change. You proactively reposition ahead of market pressure, make strategic product and talent decisions for the long-term health of the business, and understand how to grow recurring revenue and protect the retention that makes it durable. AI is not a slide in your strategy deck; it is already changing how you think about where value comes from and what your product should become.

Qualifications for Success:

  • Owned the P&L and operational outcomes for a B2B SaaS organization, business unit or function, driving direct accountability for revenue growth, retention profiles, and margin expansion.
  • Shipped AI-embedded product capabilities with measurable customer outcomes, or led sustained AI experimentation with clear conviction about where it creates durable value. Has also embedded AI into how the business operates: decision-making, team workflows, go-to-market execution, or operational efficiency.
  • Built a repeatable go-to-market engine, establishing scalable sales and expansion motions within a vertical or enterprise SaaS environment.
  • Led an organization through a meaningful inflection point (a product repositioning, a pricing model redesign, a market expansion) before the market forced the change.
  • Delivered measurable structural improvements to net revenue retention and pricing power, turning margin durability from a strategic priority into a realized business outcome.
  • Elevated talent density by hiring and developing talent to fundamentally shift the organization's performance trajectory.
  • Served as the primary executive voice for board members, investors, and key stakeholders, maintaining influence far beyond the standard sales cycle.
Why a Banyan Operating Company

A permanent home, not a portfolio play. We buy, hold, and grow software companies for life. We never resell. That permanence gives you the freedom to invest in product, talent, and market position on a time horizon that makes real strategic ambition possible. No three-to-five-year clock. No pressure to optimize for exit at the expense of long-term value.

Autonomy with backing. How you run the business is your call. We operate with a collaborative, decentralized culture where the entrepreneurial spirit of each company stays intact. We provide capital, shared services, and a network of operating partners. We do not tell you how to build your team, price your product, or run your go-to-market.

A personal approach. Banyan operates like a family office, not a financial sponsor. We care about the companies we acquire, the people who built them, and the teams who run them. You will work with people who understand vertical market software and respect what makes each business unique.

Legacy and continuity. We preserve the brand, the identity, and the culture of the companies we acquire. The employees and customers who depend on the business are part of why we invested in the first place. You are building on a foundation that will be protected, not consolidated or stripped for parts.

A peer network. A community of portfolio company CEOs navigating the same challenges: AI adoption, product-led growth, talent elevation, and building durable recurring revenue in specialized markets. You are not solving these problems alone.

What Happens Next

This is a talent community for ongoing and future opportunities in our portfolio, not an active requisition. If your background aligns with what we are looking for, one of our Executive Talent Acquisition Partners will reach out to introduce themselves and start the conversation. From there, the goal is to build a relationship so that when the right opportunity opens in our portfolio, we are ready to move quickly, together.

If you see yourself in this description and are energized by the idea of leading a vertical SaaS business with real autonomy, permanent backing, and the time to build something that lasts, we want to hear from you.