Zendesk is hiring: Head of Recruitment Marketing - Remote in San Francisco

Director, Predictive Marketing Analytics We are seeking a Director of Predictive Marketing Analytics with 912 years of experience to lead, scale, and elevate our predictive marketing analytics capabilities. This leader will guide a team to deliver high-impact insights, predictive models, and frameworks that shape marketing strategy, optimize investment, and directly influence growth. partnering deeply with marketing and business leaders to understand their challenges and decisions, then building and delivering data-driven solutions that drive results. Lead predictive modeling projects such as lead scoring, customer lifetime value (LTV), opportunity propensity, and other advanced analytics use cases. Develop and implement advanced attribution models (multi-touch, algorithmic, or data-driven) to measure true campaign effectiveness. Lead predictive modeling efforts including lead scoring, lifetime value (LTV) modeling, marketing attribution. Apply machine learning and statistical techniques to drive segmentation, personalization, and optimization of audience targeting. Develop, validate, and deploy statistical and machine learning models using R, Python, or STATA to drive marketing and business growth. Set the Vision: Define and execute the marketing data science strategy, aligning data-driven insights with the organizations growth priorities. Deep Business Partnership: Work closely with stakeholders across marketing, product, and sales to identify the most impactful questions to answerfocusing on business outcomes rather than academic exercises. Guide the development of models, forecasting, attribution frameworks, and experimental designs that directly optimize how we acquire, engage, and retain customers. Ensure outputs are easy for business partners to understand and act on, avoiding unnecessary complexity in tools, data, and communication. Raise Standards, Together: Set a high bar for quality and innovation while embracing iteration, feedback, and even failure as part of the learning journey. Experience: 912 years in data science, marketing analytics, or a related field, with at least 35 years leading teams. Expertise in SQL, with proficiency in Python, R, or STATA for advanced analytics and machine learning. Advanced experience in marketing-specific predictive methods: lead scoring, attribution modeling, and customer LTV. Familiarity with modern data stack tools (e.g., Snowflake, dbt, Looker) and marketing data sources (MarTech, CRM, digital platforms). Business Acumen: Proven success translating complex data into clear, actionable insights for marketing and business leaders, with emphasis on impact over volume. Track record of building, mentoring, and leading high-performing teams in fast-paced environments. Proactive in building strong stakeholder relationships and deeply understanding their challenges. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives. Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The Intelligent Heart Of Customer Experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and were proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an email to peopleandplaces@zendesk.