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Zendesk is seeking a Product Manager to own and evolve the Workforce Management product roadmap, collaborating with Engineering, Design, and Product Marketing to solve big customer problems. The role involves defining the roadmap and prioritization, delivering cross-functional projects, meeting with customers, analyzing data, researching competitors, and communicating a compelling future vision. Basic qualifications include 4+ years of product management in a fast-paced agile environment, strong problem-solving skills, the ability to balance long-term strategy with incremental value, excellent written communication, data-driven decision making, and a commitment to continuous learning and mentoring. Preferred qualifications include experience in the Customer Experience industry, a background in design, engineering, or data analysis, and Workforce Management experience. The Polish base salary range is zł294,000 to zł440,000 with potential bonuses and benefits; Zendesk supports a hybrid work model, is an equal opportunity employer committed to diversity and inclusion, may use AI screening, and offers accommodations for applicants with disabilities.

Zendesk is recruiting a Business Development Representative for its EMEA Sales Development team to drive new business, manage a busy outbound pipeline, and generate high-value opportunities across startups, unicorns, and enterprise customers, while delivering an excellent customer experience. The candidate should have at least 6 months of sales-related experience, preferably in SaaS, be a self-starter with a “can do” attitude, fluent in English and Spanish, and hold a bachelor’s or master’s degree (hybrid work in Lisbon is required). The role involves being a core member of the sales team, executing regional strategy, prospecting into cold accounts and new segments of existing Zendesk customers, using social tools to source leads, and aiming to overachieve on targets. Zendesk offers a supportive environment with a leadership team focused on development and success, a dedicated onboarding buddy, flexible work options, and tools and resources to help you succeed, all within a culture that emphasizes Zendesk’s values and customer experience. The company notes that AI may screen applications, is committed to equal opportunity and diversity, provides accommodations for disabilities, and shares information about DEI initiatives and EEO rights.

Zendesk is hiring a Staff Machine Learning Engineer to serve as the embedded ML expert for Routing & Presence, owning the ML surface end-to-end from feature engineering and model design through experimentation, production serving, monitoring, and continuous learning, and guiding the evolution to an agentic routing engine. You’ll work closely with backend engineers, product managers, and the central ML platform team, setting the technical direction for how ML shapes routing over the next several years. Responsibilities include owning the models and algorithms at the heart of Routing & Presence, planning ML work with observability and iterability from the start, proposing and evaluating alternatives, designing experimentation frameworks (offline and online) with customer-facing metrics, and coordinating data sources for dynamic routing decisions with explainability and guardrails. The ideal candidate will apply classical ML with a clear understanding of why an approach works, work hands-on with generative AI and LLMs, design end-to-end experiments, ship ML in production, estimate project effort, communicate designs clearly, mentor teammates, and plan 18+ months ahead. The role sits within Zendesk’s collaborative, inclusive culture and hybrid work model, with a tech stack including Java, Scala, Python, Kubernetes, and supportive ML platform tooling, underpinned by strong privacy, diversity, and equal-opportunity commitments.

The role is to architect the evolution of Zendesk's partner ecosystem with an AI-first approach, scaling programs to accelerate adoption and revenue across partner channels (MSPs, Affiliates, VARs) in collaboration with executive leadership. Responsibilities include owning the end-to-end global partner strategy, designing incentives and pilot programs, and developing a multi-year Partner Incentives Strategy to shift business from direct to indirect models. Operational Excellence focuses on defining and reporting KPIs, governance, outcome-based pricing and scalable discounting, and optimizing the partner experience across systems and workflows. Communication & Leadership covers partner recruitment, high-impact communications, program launch readiness, collateral creation, and cross-functional alignment with GTM, Customer Success, and Marketing, while influencing senior leadership. Qualifications require 15+ years in partner programs or ecosystem leadership within SaaS/enterprise tech, experience with major route-to-market transformations, strong cross-functional leadership and analytics, and a bachelor’s degree (MBA preferred), with a US base salary range of $182,000–$272,000 plus potential bonuses and benefits, along with Zendesk’s commitments to diversity, hybrid work, AI screening, and accommodations.

The Lead Business Process Analyst at Zendesk leads ongoing change and transformation to drive operational excellence in Zendesk Operations, with a focus on customer experience and AI-driven automation. Responsibilities include leading end-to-end process design, coordinating project management and change management, and driving cross-functional and AI initiatives to meet business needs. The role also serves as an AI subject matter expert, develops improvement tools and standardized AI prompts, and builds stakeholder partnerships while presenting progress to leadership. Required experience includes 5+ years in process mapping and workflow design, proficiency with Zendesk, strong project execution skills, and technical fluency with Google Suite and PM tools, plus AI literacy and change management certification preferred. The position is based in Mexico (CDMX or Estado de Mexico) with a hybrid work arrangement, and Zendesk emphasizes diversity, inclusion, and accommodations, including potential AI-based screening in the hiring process.