SVP, Client Success

Hands-on VP Client Success focused on turning the customer intelligence platform into measurable business impact. Drives adoption and value from initial engagement through ongoing success.

This VP of Account Management role leads a team of Account Directors and owns customer growth, retention, and net revenue retention (NRR) targets. Requires 10+ years in account management or customer success with team leadership experience and deep expertise in media, ad tech, and marketing measurement. Success involves defining the value realization playbook, serving as an executive sponsor for strategic partners, and driving expansion revenue.

This Director of Client Success leads and develops a team of Client Success/Account Managers, driving client retention, growth, and commercial thinking. The role requires deep programmatic advertising knowledge, hands-on client engagement, and cross-functional partnership with Sales, Marketing, and Data Science. Key responsibilities include overseeing client health, improving processes, and serving as a strategic advisor to key clients.

This VP-level role leads client services operations in India, overseeing client relationships, team management, and strategic growth. The executive will drive client satisfaction, operational excellence, and business development in the region.

This role is responsible for selling InMarket's location-derived measurement and attribution solutions directly to brands and agencies. The Sales Director will manage a territory from prospecting to farming, cultivate key relationships, and collaborate with sales leadership to evangelize the product suite. Success requires prior sales experience in location advertising or data companies, with a focus on measurement solutions and strategic partnerships.

This senior role develops and deploys machine learning and AI solutions for InMarket's advertising measurement products, owning projects from prototyping to production. The data scientist applies causal inference, Bayesian statistics, and statistical marketing models to petabytes of data, collaborating with product and engineering teams to expand the attribution platform. Requires strong Python and SQL skills and experience with agentic development tools like Claude Code.

This data scientist role conceptualizes, develops, and deploys machine learning and AI solutions for InMarket's advertising measurement products, focusing on causal inference and attribution. The role involves prototyping, running experiments, and collaborating with engineering and product teams to expand the measurement platform. Requires 3+ years of experience with statistical marketing models, Bayesian statistics, and causal inference, plus Python and SQL proficiency.