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Currently tracking 18 active AI roles, down 73% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $158k–$374k (avg $261k).

Hiring
18 / 27
Momentum (4w)
↓-89 -73%
33 opens last 4w · 122 prior 4w
Salary range · avg $261k
$158k–$374k
USD · disclosed roles only
Tracked since
Mar 31
last role 2w ago
Hiring velocityscroll left for older weeks
1 new role
Sep 9
2 new roles
Apr 7
1 new role
Nov 24
1 new role
Dec 1
1 new role
22
1 new role
29
3 new roles
Jan 26
1 new role
Feb 2
3 new roles
9
1 new role
16
6 new roles
23
5 new roles
Mar 2
6 new roles
9
9 new roles
16
18 new roles
23
12 new roles
30
16 new roles
Apr 6
22 new roles
13
23 new roles
20
28 new roles
27
55 new roles
May 4
16 new roles
11
15 new roles
18
10 new roles
25
5 new roles
Jun 1
3 new roles
8

Zendesk has 37 active AI-related job listings, with a significant focus on roles related to agents, accounting for 46% of their openings. Engineering is the most represented function, with 28 positions. The company is actively hiring in Portugal and Poland. Technical tags frequently appearing include model_serving, llm_observability, and agent_orchestration, suggesting a focus on deploying and managing AI models for customer service applications. Over the last 30 days, Zendesk has added 35 new AI roles, representing a 67% increase compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Zendesk hiring for?

    Zendesk currently has 29 active AI-related roles in our index. The most common open titles are: Staff Software Engineer (3), Senior Product Manager (2), Staff Machine Learning Engineer (2), AI Agent Abuse Prevention Engineer, AI Services Consultant II. Most positions are in Engineering and Product.

  • What stage of AI development does Zendesk focus on?

    Zendesk's active AI hiring is concentrated in: agents (52%), application (21%), post-training (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Zendesk hiring AI talent?

    Zendesk is hiring AI talent in: Portugal (12 roles), Poland (6 roles), United States (5 roles), Ireland (3 roles).

  • What technologies does Zendesk's AI team work with?

    Job postings at Zendesk most frequently reference: llm observability, agent orchestration, model serving, rag, guardrails.

  • How many AI roles has Zendesk posted recently?

    In the past 30 days, Zendesk has posted 17 new AI-related roles. That is a -45% change versus the prior 30 days (31 → 17).

Jobs (2)

16 AI · 89 total active
FilteredFunctionProduct×CountryUnited States×Clear all
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Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 4Serve · 3Agent · 18Eval Gate · 3Ship · 1
Function
AllEngineering · 23Research · 4Product · 3
Country
AllPortugal · 14United States · 6Poland · 5Australia · 3Germany · 3India · 3Ireland · 3United Kingdom · 3Denmark · 2Israel · 1Singapore · 1
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Director, Product Management
Director of Product Management for Zendesk's Support Core organization, focusing on defining and leading the strategy for foundational support systems (Ticketing, Search, Email, Lists). The role involves transforming core systems into AI-forward, composable components, owning both platform capabilities and shared product experiences, and enabling product teams to move faster with AI-integrated solutions. This includes modernizing architecture, elevating developer experience, and embedding AI capabilities throughout the core.
AgentServeProductCA +53 · Remote4w ago7
Senior Product Manager - AI Agents
Senior Product Manager to own the AI agent infrastructure for the Forethought platform. This includes the reasoning engine, authoring tools, self-improvement mechanisms, and multi-channel infrastructure. The role requires guiding roadmap development, defining the authoring and configuration experience, setting quality standards for AI agent interactions, designing for multiple personas, and leading hypothesis-driven product development. Requires 5+ years in B2B SaaS PM with experience shipping AI/ML products, a deep understanding of language models and agentic architectures, and a track record of defining quantitative success metrics for AI systems.
Agent
Product
San Francisco, CA +2 · Remote
5w ago
7