Zendesk

Zendesk

Zendesk provides a comprehensive software solution designed to enhance customer service and engagement through an AI-powered platform that facilitates communication across various channels, including text, mobile, phone, email, live chat, and social me...

Professional Services
5K-10K
Founded 2007

Description

  • Own cloud product problems end to end, from user discovery and solution design through implementation, release, measurement, and iteration.
  • Engage directly with customers and internal domain experts to understand workflows, pain points, and opportunities.
  • Translate ambiguous problem spaces into thin-sliced, testable increments that can be shipped and learned from quickly.
  • Use AI tools daily to accelerate coding, analysis, research, prototyping, and feature development.
  • Design and build AI-powered capabilities such as intelligent recommendations, automated insights, natural-language interfaces, and predictive features.
  • Make engineering decisions involving model selection, prompt engineering, latency, accuracy, cost tradeoffs, and responsible AI considerations.
  • Prototype rapidly, ship frequently, and validate ideas through real customer usage and experiments.
  • Build across backend services, APIs, data pipelines, and frontend interfaces as needed.
  • Work with cloud billing, usage, and operational data from AWS, GCP, and Azure to develop cost optimization and governance capabilities.
  • Take ownership of shipped solutions, including reliability, user experience, success metrics, and customer impact.

Requirements

  • 5+ years of professional software engineering experience with a track record of delivering complete products or features end to end.
  • An AI-first mindset with active daily use of AI tools to improve engineering work and product development.
  • Strong full-stack engineering capability across backend, frontend, APIs, and data layers.
  • Solid understanding of public cloud platforms such as AWS, GCP, and/or Azure, including compute, networking, IAM, Kubernetes, and billing/cost structures.
  • Product-oriented thinking with the ability to focus on user value as well as implementation.
  • Comfort with ambiguity and fast-changing priorities in a fast-moving environment.
  • Strong customer empathy and communication skills for working with technical practitioners and synthesizing feedback.
  • Excellent written and verbal communication skills in English.
  • Self-motivated and resourceful in a remote team environment.
  • Hands-on experience building AI/ML-powered product features, such as LLM integrations, recommendation systems, or intelligent automation, is preferred.
  • Experience in a startup, research lab, or 0-to-1 product environment is a plus.
  • Familiarity with data cloud platforms such as Snowflake, Databricks, or BigQuery and their cost/usage dynamics is a plus.

Benefits

  • Unlimited vacation.
  • Flexible working options and a remote-friendly work setup.
  • Health insurance.
  • Parental leave.
  • Employee stock option plan.
  • Home office allowance.
  • Professional development stipend.
  • Peer recognition program.

Interested in this position?

Apply directly on the company website

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