Enterprise Account Executive; Northeast

A little about us…

Knint is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we’ve condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T‑Mobile, Mars, NASCAR, and more. We’re on a mission to scale and democratize world‑class research. From survey generation to stakeholder‑ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what’s possible.

The Account Executive will play a critical role in driving Knint’s next phase of growth by bringing on net‑new enterprise partnerships while also expanding existing client relationships through thoughtful cross‑sell strategies.

This is a full‑cycle sales role: you’ll prospect, qualify, and close new business while collaborating closely with our Research and Customer Success team members throughout the sales process to ensure Knint’s products align with our clients’ needs.

You’ll join a team that’s building something category‑defining — and you’ll help shape how some of the world’s most respected brands uncover and activate insights.

You’ll have a voice in shaping how we sell, refine our processes, and elevate how enterprise clients experience Knint. This is a high‑impact role for someone who thrives in a collaborative, insights‑driven sales environment and is motivated by both individual success and shared growth.

Primary responsibilities of this role:

• Drive net‑new revenue by identifying, engaging, and closing partnerships with enterprise organizations.
• Collaborate deeply with Research and Customer Success teams throughout the sales process to ensure Knint’s products align perfectly with client needs.
• Lead a consultative, insight‑driven sales process from discovery through close, positioning Knint as a trusted partner—not just a vendor.
• Develop tailored outreach strategies to generate new introductions while partnering with Marketing on inbound interest.
• Ensure seamless handoffs post‑sale, clearly articulating client goals, key stakeholders, and success criteria.
• Identify cross‑sell opportunities within existing clients, expanding Knint’s footprint across business units and functions.
• Maintain high standards for pipeline integrity, forecasting accuracy, and documentation across every stage of the deal cycle.
• Represent Knint at conferences, trade shows, and industry events
  , showcasing our AI‑native insights capabilities and building relationships with prospective clients.
• Continuously experiment and improve
  , bringing creativity, curiosity, and proactive thinking to how we sell and engage.

A successful candidate for this role has experience bringing on net‑new contracts at Fortune 1000 companies, specifically with Insights and Marketing teams. This experience is important as the main responsibility for the role is to give our clients the best experience working with Knint, while uncovering new opportunities to partner.

Required:

• 5+ years of experience leading a consultative, full‑cycle enterprise sales process
• Consistent track record of hitting or exceeding $1M+ annual sales quotas
• Experience selling $100K+ annual contracts to Fortune 1000 companies
• Sales approach with a strong emphasis on discovery – running a process that is extremely thoughtful, intentional, curious and consultative
• Exceptionally organized with disciplined pipeline management and attention to detail
• Deep curiosity and the ability to translate complex ideas into clear, compelling value
• Experience working in a collaborative, fast‑scaling environment, alongside customer success, marketing, and product teams
• A builder’s mindset – comfortable navigating ambiguity and energized by shaping the sales playbook as we grow

Nice to Haves

• Direct experience selling into Insights, Analytics, or Marketing teams at enterprise organizations.
• Familiarity with market research tools, methodologies, or data platforms.
• Background in SaaS, AI, or technology‑enabled services that drive strategic decision‑making.
• Experience working in…