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Salary: USD 216,000 - 276,000 / annual
Notion is seeking a Mid-Market Solutions Consultant to own the full customer lifecycle for a book of business in the New York market. This role sits at the intersection of sales and solutions engineering, requiring you to design and build workflow solutions live with customers, translate their business needs into commercial outcomes, and ensure successful adoption.
You will own new logo acquisition, expansion, and renewal for your accounts as the single point of continuity. Your responsibilities include running discovery sessions that double as product demos, designing current-to-future-state workflow architecture in Notion with customers, and navigating complex commercial cycles including procurement, legal, and security reviews. You'll partner with Business Development Representatives on target account planning and outbound motion, while collaborating with Outcomes Architects on implementation and adoption strategy.
The role requires 4-7+ years of experience selling technical products to technical buyers, with genuine comfort building live in software. You need strong discovery and qualification instincts, the ability to map customer workflows to commercial outcomes, and experience managing multi-stakeholder interactions. You should be obsessed with AI, constantly learning new tools and ways of working, and comfortable owning the room with agency and urgency.
Nice-to-have qualifications include full-cycle B2B SaaS sales or solutions engineering experience with a track record of exceeding quota, familiarity with consumption-based or usage-based pricing models, prior experience selling to mid-market and enterprise accounts in productivity or collaboration software, and experience in shared account ownership models.
Notion is a collaborative AI workspace where millions of individuals, teams, and companies run their work. The company is reimagining how enterprise software is sold, with Solutions Consultants as the cornerstone of that model. You'll be building the future of work at the intersection of AI, productivity, and enterprise.
