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Remote Artificial Intelligence Sales Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... None If filled as R&D Engineer - Artificial Intelligence (ARL) - Intermediate Professional, this ...

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Remote Artificial Intelligence Sales information

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How much do remote artificial intelligence sales jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote artificial intelligence sales in the United States is $23.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $28.37 per hour, depending on experience, location, and employer.

What is a remote artificial intelligence sales professional?

A Remote Artificial Intelligence (AI) Sales job involves selling AI products or services to clients, typically from a remote location rather than a traditional office. Professionals in this role identify potential customers, demonstrate the value of AI solutions, and guide them through the purchasing process. They often work closely with technical teams to understand product features and tailor solutions to meet client needs. Strong communication, technical understanding, and the ability to build relationships virtually are key to success in this field.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence sales professional?

To thrive in Remote Artificial Intelligence Sales, you need a solid understanding of AI concepts, strong sales acumen, and experience with B2B sales, often supported by a relevant degree or sales certifications. Familiarity with CRM software, AI platforms, and sales enablement tools is typically required. Exceptional communication, relationship-building, and self-motivation are crucial soft skills for success in a remote setting. These competencies enable you to effectively convey complex AI solutions to clients, drive sales growth, and build lasting partnerships in a competitive, tech-driven market.

What are some common challenges faced by professionals in remote artificial intelligence sales, and how can they be overcome?

One common challenge in Remote AI Sales is effectively communicating the value and technical aspects of AI solutions to clients who may not be familiar with the technology. Overcoming this often requires strong consultative selling skills and the ability to translate complex concepts into business benefits. Additionally, working remotely can make it harder to build relationships, so leveraging virtual meeting platforms and maintaining proactive communication is essential. Successful professionals also collaborate closely with product and technical teams to ensure they are providing accurate, up-to-date information to prospective clients.

What is the difference between Remote Artificial Intelligence Sales vs Remote Data Sales?

AspectRemote Artificial Intelligence SalesRemote Data Sales
Required CredentialsBachelor's in Business, Tech, or related field; knowledge of AI conceptsBachelor's in Data Science, Business, or related field; understanding of data analytics
Work EnvironmentRemote, client-facing, sales-focusedRemote, client-focused, data-driven sales
Industry UsageTech companies, AI startups, software providersData providers, analytics firms, tech companies
Search & Comparison IntentHigh overlap in sales skills, AI knowledge, remote workSimilar sales skills, data expertise, remote setup

Remote Artificial Intelligence Sales and Remote Data Sales share common skills like sales expertise and remote work environment. However, AI sales emphasizes understanding artificial intelligence concepts, while data sales focuses on data analytics and data-driven solutions. Both roles are vital in tech industries and often overlap in client engagement and technical knowledge.

More about Remote Artificial Intelligence Sales jobs
What cities are hiring for Remote Artificial Intelligence Sales jobs? Cities with the most Remote Artificial Intelligence Sales job openings:
What are the most commonly searched types of Artificial Intelligence Sales jobs? The most popular types of Artificial Intelligence Sales jobs are:
What states have the most Remote Artificial Intelligence Sales jobs? States with the most job openings for Remote Artificial Intelligence Sales jobs include:
What job categories do people searching Remote Artificial Intelligence Sales jobs look for? The top searched job categories for Remote Artificial Intelligence Sales jobs are:
Remote Artificial Intelligence Sales jobs near you
Infographic showing various Remote Artificial Intelligence Sales job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $48,349 per year, or $23.2 per hour.

VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA • On-site, Remote

$212K - $273K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago

Job description

Company Description
Job Description
VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home
As the VP of Engineering Applications, you will turn intelligence into a real product. The VP of Engineering Applications is responsible for the engineering systems, teams, and execution that turn Machine Learning (ML) capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms. The VP of Engineering Applications role is a senior engineering leader who stays close to the product, makes hard technical decisions, and holds a high bar for quality and delivery. This position is 100% Remote.
VP of Engineering Applications Responsibilities:
- Own the application engineering strategy and execution across backend, mobile, and desktop.
- Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.
- Set the architectural direction for Artificial Intelligence (AI)-powered product workflows, APIs, and client integrations.
- Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.
- Partner closely with Machine Learning leadership to translate model capability into shippable product features.
- Make high-impact decisions across latency, cost, reliability, security, and user experience.
- Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift.
- Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.
- Balance speed and discipline shipping quickly without compromising long-term system quality.
VP of Engineering Applications Outcomes:
- Reliable, low-latency Artificial Intelligence (AI) user experiences across backend, mobile, and desktop
- Clear architectural boundaries that allow teams to move fast without constant rewrites.
- Measurable improvements in system performance, stability, and production reliability.
- Strong observability and operational discipline across all application systems.
- A small, senior team that ships frequently, owns what they build, and raises the technical bar.
- Team members are empowered, growing in their roles, and able to make high-impact contributions.
Qualifications
VP of Engineering Applications Qualifications:
- Significant experience leading application or product engineering for complex systems.
- Artificial Intelligence (AI) experience required.
- Strong hands-on background building and shipping backend systems used in production.
- Experience delivering Artificial Intelligence (AI)-powered products, with a deep understanding of model integration trade-offs.
- Excellent system design skills across services, APIs, clients, and data flows.
- Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.
- Proven ability to make high-impact technical decisions under ambiguity.
- A strong bias toward shipping, iteration, and learning from real-world usage.
- Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, VP of Engineering Applications, AI, Artificial Intelligence, APIs, Application Engineering, Backend, Desktop, Low Latency, ML, Machine Learning, Product Engineering, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire a VP of Engineering Applications in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire VPs of Engineering Applications for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Additional Information
Please check out all of our jobs at www.nextstepsystems.com.

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