The Ampin App
deep insights into the Atlassian community

Zendesk aims to make Customer Experience better and serves over 125,000 global brands, helping billions of customers daily. The role is embedded in a multi-functional team that collaborates with scientists, engineers, and product managers to research and build ML solutions powering AI capabilities such as intelligent triage and admin center recommendations. Responsibilities include pairing with applied ML scientists, researching and delivering efficient AI solutions with significant customer support impact, solving problems with neural networks and information retrieval, productionizing ML techniques, collaborating globally, presenting work to diverse audiences, and staying current with ML and NLP literature. Required qualifications include an MSc in CS/EE/math or related fields, a solid foundation in statistics and ML, Python proficiency, experience with at least one deep learning library (prefer PyTorch), and a growth-oriented, curious, pragmatic mindset; preferred include a PhD, NLP/IR experience, and strong communication and collaboration skills. Zendesk offers ownership of features, potential for significant impact, a passionate team, opportunities to learn and grow, possible specialization areas, flexible hours, development funds, remote setup, premium health and life insurance, and a commitment to diversity with AI screening disclosures.

Zendesk is hiring a Staff Engineer for the AI Copilot organization to lead the architecture and delivery of the Admin Copilot Conversational backend, a multi-million ARR product that enables admins to configure Zendesk using natural language. The role requires driving the technical vision and end-to-end delivery of complex features, being a hands-on leader, collaborating with ML scientists, product, design, and partner teams, influencing architecture beyond the team while improving evaluation, guardrails, and safety for LLM-powered features, and mentoring engineers while addressing systemic risks. Required qualifications include 8+ years in software engineering with backend leadership, experience designing distributed systems at scale, production LLM integration, fluency in at least one backend language (Ruby, Python, Go), strong cloud (AWS), containers (Docker/Kubernetes), and CI/CD, and a proven ability to operate effectively under ambiguity and drive cross-team alignment. Preferred qualifications include experience building conversational AI, ML infrastructure and tooling (Metaflow, MLflow), event-driven architectures (Kafka), SQL/data infra (Snowflake, dbt), and prior mentoring or technical leadership of 3+ engineers. The tech stack includes Ruby and Python, AWS, Metaflow, data stored in S3/RDS/MySQL/Snowflake with dbt, Kubernetes/Docker, LLMs via an LLM Proxy, and the Vercel AI SDK; Zendesk emphasizes hybrid work, diversity and inclusion, equal opportunity, and accommodations for applicants with disabilities.