Job Description
About Ketch
Ketch is redefining responsible data use for the AI era. Our Data Permissioning Platform helps global brands manage data privacy, consent, and compliance while enabling privacy-safe data activation across devices, systems, and third-party applications. We support GDPR, CCPA/CPRA, and modern data governance for some of the largest enterprises in the world. Ketch is scaling fast backed by significant market tailwinds as privacy regulation accelerates globally and enterprises rethink how they handle data in the age of AI.
About the Role
We’re hiring an Enterprise Sales Leader to build and lead a team of Account Executives while carrying a personal quota. This is a player-coach role. You’ll close your own deals, coach your team through theirs, and build the systems and playbooks that make both scalable.
You’ll work closely with Sales Engineering, Marketing, Customer Experience, BDRs, and our partner ecosystem. The right person is equally comfortable running a complex enterprise sales cycle and developing the talent around them. Through our work, we bring Ketch values of passion, growth, grit, collaboration, and integrity to life. We expect candid feedback, a learning mindset, and a bias toward action. If you’ve built something from scratch before and want to do it again with a category-defining product, this is the role.
Responsibilities
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Sales Execution - Carry a personal quota and close enterprise deals, modeling best practices for the team from discovery through negotiation to close. Run disciplined MEDDPICC across your own pipeline and use ROI-driven business cases to accelerate deals. Leverage Sales Engineering, Marketing, CX, and partner resources effectively throughout the sales cycle
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Team Leadership- Recruit, develop, and retain high-performing Account Executives. Drive AE-led outbound pipeline generation with clear activity expectations and accountability. Run consistent 1:1s, deal reviews, coaching sessions, and quarterly performance reviews. Build and refine the sales playbook: discovery frameworks, competitive positioning, objection handling, pricing strategy, and new hire onboarding. Own forecasting accuracy, Salesforce hygiene, and timely reporting to leadership
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Product and Industry Knowledge - Develop a strong functional and technical understanding of Ketch products and how they differentiate from competitive offerings. Monitor enforcement actions, new regulations, and market trends to sharpen positioning and urgency in the sales cycle. Build deep understanding of customer environments to map Ketch solutions to measurable business outcomes
Experience
7–10 years of professional sales experience in enterprise SaaS
4+ years of quota-carrying, consultative sales at a SaaS company in the data privacy and/or adtech/martech sectors
2+ years of average deal sizes in range from $150K to $750K
1–2+ years of sales management or team lead experience
Background in data privacy strongly preferred
Experience with MEDDPICC or equivalent qualification methodology
Qualifications
Demonstrated ability to translate technical solutions into quantifiable business value
Builder’s mindset: comfortable leading from the front while institutionalizing best practices behind you
Strong track record of meeting or exceeding sales targets as both an individual contributor and a manager
Effective in fast-paced, ambiguous environments where the playbook is still being written
Exceptional coaching, time management, and cross-functional alignment skills
Experience working as part of a distributed or global team
Bachelor’s degree or equivalent experience
Authorized to work in the United States
English fluency required; second language a plus
$165,000 - $185,000 a year
The US base salary range for this full-time position is $165,000–$185,000 + commission + equity + benefits. Salary is determined by role, level, and location. Within the range, individual pay reflects work location, job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
