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Entry Level Ai Saas Sales Jobs (NOW HIRING)

$60 - $70/hr

This is an entry-level technology sales role designed for ambitious early-career professionals looking to build a career in AI, SaaS, and B2B sales. Our accelerated AAE program combines the best ...

New

$90 - $130/hr

... AI automation, advanced photography, marketing, patient engagement, and seamless practice ... This role leads an overlay sales motion in partnership with the SaaS/EMR sales organization ...

New

... AI automation, advanced photography, marketing, patient engagement, and seamless practice ... This role leads an overlay sales motion in partnership with the SaaS/EMR sales organization ...

NY ยท On-site

$326.09 - $434.78/hr

Independent Contractor Job Summary We are seeking a highly skilled AI Automation Engineer to design ... Experience in SaaS, sales automation, or growth systems is a strong plus Fully Remote: Work fro ...

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Entry Level Ai Saas Sales information

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How much do entry level ai saas sales jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entry level ai saas sales in the United States is $45,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $50,000.00 per year, depending on experience, location, and employer.

What is an entry level AI SaaS sales role?

An Entry Level AI SaaS Sales role involves selling artificial intelligence-based software as a service (SaaS) solutions to businesses. Professionals in this position are responsible for identifying potential clients, understanding their needs, demonstrating how AI SaaS products can address those needs, and guiding them through the purchasing process. Typically, this role includes lead generation, product presentations, responding to inquiries, and supporting more senior sales staff. Entry-level representatives often receive training on both the product and effective sales techniques to help them succeed. This position is a great starting point for a career in tech sales, offering valuable experience in both technology and customer relationship management.

What are the key skills and qualifications needed to thrive as an entry level AI SaaS sales professional?

To thrive as an Entry Level AI SaaS Sales professional, you need a foundational understanding of sales principles, basic knowledge of SaaS and AI technologies, and often a bachelor's degree in business or a related field. Familiarity with CRM platforms like Salesforce, sales engagement tools, and basic data analysis software is typically required. Exceptional communication, resilience, and the ability to quickly build rapport are vital soft skills that set top performers apart. These competencies are essential for effectively identifying customer needs, managing sales cycles, and contributing to company growth in a rapidly evolving tech sector.

What are some common challenges faced by entry level AI SaaS sales professionals, and how can they be overcome?

Entry-level AI SaaS sales professionals often encounter challenges such as understanding complex technical products, building credibility with clients, and navigating long sales cycles. To overcome these obstacles, it's important to invest time in product training, seek mentorship from experienced team members, and consistently practice effective communication skills. Collaborating closely with technical teams can also help address customer concerns and improve your ability to articulate the value of AI-driven solutions. Persistence, adaptability, and a willingness to learn are key traits that contribute to long-term success in this role.
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Infographic showing various Entry Level Ai Saas Sales job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $45,046 per year, or $21.7 per hour.

Enterprise Account Executive - Agentic AI (US)

Code and Theory

New York, NY โ€ข On-site, Remote

Full-time

Re-posted 29 days ago


Key responsibilities

  • Own and drive full-cycle enterprise sales opportunities from prospecting to close

  • Build and maintain a pipeline through outbound prospecting, inbound qualification, and partner-sourced opportunities

  • Lead discovery sessions, deliver product demos, and engage multi-stakeholder buying committees


Job description

We are seeking an Enterprise Account Executive to drive revenue growth for Stagwell's agentic AI product business.

This is a quota-carrying, full-cycle sales role for a hands-on enterprise seller. You will own opportunities from pipeline generation through close - running discovery, delivering product demos, building the business case, and driving multi-stakeholder deals across the finish line. The ideal candidate combines a proven track record in enterprise AI, SaaS, or data product sales with the technical fluency to engage credibly with both business buyers and technical evaluators. Because our engagements pair a software product with enterprise implementation, we are specifically looking for sellers who have sold both pure SaaS and software implementations - not one to the exclusion of the other.

This is an individual contributor role, not a management position. Success is measured by pipeline generated, deals closed, and revenue delivered.

WHAT YOU'LL DO

  • Own and drive full-cycle enterprise sales opportunities - from prospecting and qualification through negotiation and close
  • Build and maintain a healthy pipeline through outbound prospecting, inbound qualification, and partner-sourced opportunities
  • Lead discovery sessions and technical qualification, mapping customer business challenges, data requirements, and success criteria to product capabilities
  • Deliver compelling product demonstrations and configure tailored demos that connect agentic AI capabilities to measurable business outcomes
  • Translate customer needs into product-led use cases, articulating clear ROI and value narratives
  • Navigate complex, multi-stakeholder buying committees - engaging economic buyers, technical evaluators, and executive sponsors
  • Develop high-quality sales assets including presentations, business cases, and pitch content
  • Maintain accurate forecasting and pipeline hygiene in CRM; drive consistent deal momentum through structured follow-up
  • Partner with product, marketing, and delivery teams to sharpen positioning, inform the roadmap with customer feedback, and ensure clean post-sale handoffs
  • Stay current on the agentic AI landscape, competitive platforms, and enterprise adoption trends

WHAT YOU'LL NEED

  • Proven track record in enterprise product sales - AI, SaaS, data, or analytics platforms - with a history of quota attainment
  • Experience selling both SaaS subscriptions and software implementations - comfortable structuring deals that combine product licensing with implementation and services scope (e.g., a Salesforce-style ecosystem background), not implementations-only
  • Experience owning full-cycle sales, including prospecting, discovery, demo, business case, negotiation, and close
  • Demonstrated success navigating complex, multi-stakeholder enterprise sales cycles with 6- to 7-figure deal sizes
  • Strong command of product demos and value-based selling - able to run technical qualification without leaning on a sales engineer for every conversation
  • Technical fluency in AI, data, analytics, or platform architecture sufficient to engage engineers and architects credibly
  • Excellent presentation, communication, and executive storytelling skills
  • Self-directed pipeline builder who thrives with autonomy while collaborating in a team-based go-to-market motion

NICE TO HAVE

  • Experience selling agentic AI, machine learning, or GenAI products into the enterprise
  • Familiarity with a structured sales methodology (e.g., MEDDICC, Challenger, value selling)
  • Background in sales engineering or solution consulting that evolved into a closing role
  • Background at a platform company such as Salesforce, Adobe, or a major data/cloud vendor where deals combined subscription software with implementation scope
  • Exposure to marketing, media, audience, or customer experience technology environments

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We're always on the lookout for smart, driven, and forward-thinking people to join our team.

The target range of base compensation for this role is $150,000 - $200,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.