You will own the growth, health, and long-term strategy of a portfolio of high-value supply-side partnerships to drive revenue and retention. Additionally, you will identify expansion opportunities and translate performance data into actionable insights for executive stakeholders.
You will proactively prospect, pitch, and close mid-market supply-side partners to expand Nift's global ecosystem. You will also collaborate with internal teams to successfully onboard new partners while consistently meeting quarterly and yearly sales quotas.
The Sales Director will hire, coach, and lead a team of Mid-Market Account Executives to drive revenue growth and customer acquisition. They will manage the full sales cycle, including prospecting, pitching, and closing strategic deals with DTC brands.
You will architect storage and compute solutions while hardening training and inference pipelines to ensure reliable, reproducible, and cost-efficient ML systems. Additionally, you will collaborate with data scientists and engineers to productionize models and establish best practices for the ML platform.
You will be responsible for the full-cycle sales process, including prospecting, qualifying, and closing new Mid-Market DTC and e-commerce advertisers. Additionally, you will own the accounts post-close to ensure successful campaign launches and ongoing growth.
The General Manager will lead and execute the growth strategy for the EMEA region, focusing on commercial development and building strong relationships with enterprise partners. This role involves driving market expansion, establishing scalable processes, and eventually building and managing a regional team.
The VP of Marketing will lead the marketing function, develop growth strategies, and build processes to scale customer acquisition. They will also manage the marketing team and create messaging and tools to support sales and revenue objectives.
The Sales Director will drive the full-cycle sales process by identifying and pursuing new supply-side partners such as Retail Media Networks and brands. They will manage the entire sales pipeline, from initial prospecting and discovery calls to contract negotiation and ongoing account scaling.
You will own the full lifecycle of applied machine learning, from exploratory analysis and modeling to production deployment and post-launch measurement. You will build and scale recommendation systems that drive core business KPIs and partner with engineering teams to ensure technical success.
Own full-cycle recruiting for assigned roles and partner closely with hiring managers to understand requirements. Drive strong candidate pipelines and deliver an exceptional candidate experience.
