Kiingo is an AI enablement firm based in Irvine, CA. We partner with businesses to adopt AI through hands-on training, strategy sessions, workflow audits & designs, and custom agentic builds. Our clients range from professional services firms and healthcare organizations to private equity and construction companies.
We are a small, high-output team where every person has direct impact on revenue and client outcomes. We do not separate new business from account management — the person who earns a client’s trust in discovery is the same person who drives adoption, expands the relationship, and manages their AI workforce long-term.
The Role
This is a full-lifecycle sales and client success role. You will own relationships end-to-end: from the first discovery call through close, onboarding, platform adoption, upsell, ongoing account strategy, expansion mapping, and identifying cross-sell opportunities. You are the single point of trust for every client in your book.
What You Own
• Full sales cycle: discovery, demo, proposal, negotiation, close
• Client onboarding and success through the bootcamp and AI enablement platform journey
• Ongoing account management: QBRs, usage analysis, renewal, and expansion
• Upsell and cross-sell into adjacent Kiingo offerings
• Project management of client AI implementations and digital workforce deployments
• CRM hygiene and pipeline management in HubSpot
• Developing & maintaining your referral network to source new deals
• Identifying responsibilities that can be automated to provide more time for strategy
What We’re Looking ForRequired
• 7+ years of B2B SaaS, tech, or professional services sales experience with a track record of hitting or exceeding quota
• Demonstrated experience managing accounts post-sale — not just closing and handing off
• Strong discovery and consultative selling skills: you diagnose before you prescribe
• Deep fluency of AI concepts: LLMs, prompt engineering, agents, automation workflows, and the enterprise AI landscape
• Applied expertise with AI tools like Claude, ChatGPT, Copilot, automation platforms, or MCP architecture
• Comfort with technical conversations — you don’t need to code, but you need to understand what’s possible and translate it to business value
• HubSpot proficiency (or similar CRM) with disciplined pipeline hygiene
• Excellent written and verbal communication — you will produce client-facing documents, proposals, and strategic plans
• Self-directed operator mindset
Preferred
• Experience selling to mid-market companies ($50M–$500M revenue)
• Background in AI, data, or technology-adjacent services
• Experience building automations in Claude Cowork, Claude Code, n8n, and similar platforms
• Experience working with channel partners, MSPs, or PE portfolio companies
• Project management experience or PMP/equivalent certification
Compensation & Benefits
• Competitive base salary commensurate with experience
• Annual bonus on company’s closed revenue across the full client lifecycle (new business, renewals, upsells, expansions)
• Remote-first
• Early-stage team — your work will directly shape the company’s growth trajectory
Interview Process
Our interview process is designed to be rigorous but respectful of your time. Five stages, completed within 2–3 weeks:
What to Expect 1
Intro Screen
15 minutes
Brief introductory call with our HR team to confirm mutual fit on logistics, role expectations, and timeline.
2
Sales Deep Dive
30 minutes
Conversation with the hiring manager covering your sales background, quota attainment history, deal strategy, and depth of AI knowledge. Come prepared to discuss specific metrics and how you’ve navigated complex sales cycles.
3
Live Roleplay
45 minutes
You will sell us the product or service you’re currently selling (or most recently sold). We’re evaluating discovery technique, objection handling, business acumen, and your ability to drive a conversation toward value. Treat this as a real prospect call.
4
Written Assessment
Take-home
A written test covering sales scenarios (e.g., objection handling, deal strategy, prioritization) and AI concepts (e.g., LLMs vs. traditional automation, use case identification, ROI framing). Designed to take 45-60 minutes.
5
Final Interview
30 minutes
Meeting with the CEO to discuss company vision, culture fit, and mutual expectations. This is a two-way conversation — come with questions.
Why Kiingo
• You’ll be at the center of the AI adoption wave, working with companies actively transforming how they operate
• Full ownership of your book — no bureaucratic handoffs, no committee-based selling
• Direct access to executive leadership and a voice in company strategy
• A product suite that delivers measurable client outcomes, making renewals and expansions natural
• Early-stage upside with a company growing rapidly in the mid-market AI space
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