Sell AI-driven solutions to mid-market businesses: prospect, qualify, consult with decision-makers, manage the full sales cycle, close deals, build long-term client relationships, and identify upsell opportunities with support from leadership and technical teams.
This is a commission-based role with unlimited earning potential. Top performers can expect significant payouts per deal closed. Our team is here to support your success with training, lead gen, and product expertise.
Dry Ground AI is helping companies transform their businesses with practical, next-generation artificial intelligence solutions. We work with mid-market business owners and executives to radically improve efficiency, automate processes, and create innovative customer experiences. Demand for real AI solutions is exploding, and we’re building a top-tier team to serve clients across industries.
Role Overview:
As an AI Solutions Sales Representative, you’ll play a vital role in connecting businesses with powerful AI solutions that drive growth and real results. You’ll identify and engage new business opportunities, consult with decision-makers, and guide clients through their AI adoption journey. You’ll enjoy high autonomy, flexible hours, and the chance to earn significant commissions for helping organizations succeed.
What You’ll Do:
- Prospect, qualify, and close new business for our suite of AI-driven solutions: delivering full-stack AI, automation, and end-to-end implementation throughout our clients’ businesses
- Consult with business owners and executives to understand needs and recommend tailored solutions
- Manage the full sales cycle from outreach to close, with marketing and technical support from our team
- Collaborate with leadership to refine messaging and capture new verticals
- Build long-term client relationships and identify upsell opportunities
What We’re Looking For:
- Proven experience in B2B sales (SaaS, consulting, tech, or agency background preferred)
- Consultative, entrepreneurial, and excited to learn new technology
- Excellent communication and relationship-building skills
- Self-motivated, goal-driven, and comfortable with a commission-based structure
- Strong organizational skills and ability to manage your own pipeline
What We Offer:
- Uncapped commission structure with industry-leading payout percentages
- Flexible/remote/fractional opportunity: build your pipeline on your schedule
- Support from a responsive leadership and technical team
- Access to compelling case studies, marketing materials, and product training
- The chance to get in early with a fast-growing AI solutions company
- Opportunity to have leads directed to you through our lead generation engine
If you’re motivated by growth, ownership, and making an impact in the world’s most exciting sector, we’d love to talk with you. Apply now to explore how you can shape the future of AI with us.
Similar Jobs
Artificial Intelligence • Software
Leads and develops a team of Mid-Market Account Executives, driving pipeline, sales activity, revenue performance, forecasting, and complex enterprise deals. Coaches representatives on consultative selling, MEDDICC, stakeholder engagement, and deal strategy. Partners with Solutions, Finance, Marketing, and Product to improve customer outcomes, refine sales processes, strengthen onboarding, and scale best practices. The role also supports hiring, culture development, networking, and conference representation in a remote U.S. position requiring up to 30% travel.
Top Skills:
Ai AgentsAi WorkflowsAutomation ToolsB2B SaasMeddicc
HR Tech • Information Technology • Professional Services • Sales • Software
The SMB Account Executive prospectively generates pipeline, manages full sales cycles, conducts product demonstrations, engages decision-makers, forecasts revenue, and closes SaaS deals with companies of 10–199 employees. The role requires generating 40–50% of pipeline, maintaining Salesforce data, attending industry events, and building relationships with market influencers, consultants, and partners. This is a hybrid role requiring New York Metro candidates to work in the NYC office three days weekly.
Top Skills:
HrisSaaSSalesforce
Information Technology • Security • Cybersecurity
Own the vision, strategy, roadmap, requirements, prioritization, and execution of Dragos’s Neighborhood Keeper collective defense platform. Lead privacy-preserving threat intelligence sharing, federated queries, anonymized telemetry, Knowledge Pack distribution, and Trusted Advisor integrations. Collaborate with engineering, customers, government agencies, ISACs, sales, and legal stakeholders; measure product KPIs; support adoption, go-to-market strategy, onboarding, and community growth across critical infrastructure sectors.
Top Skills:
Anonymization TechnologiesAPIsData ModelsFederated AnalyticsFederated Query SystemsIndustrial Control Systems (Ics)Industrial IotNerc Cip Bes Cyber System RequirementsOperational Technology (Ot)Privacy-Preserving TechnologiesThreat IntelligenceXot Cybersecurity
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
