Qureos Mentor

Zendesk

<div>
 
 Job Description
 
 
 
 
 
 About Zendesk
 
 
 
 
 Zendesk makes sales, support, and customer engagement software to help businesses offer a differentiated customer experience. Design is an integral part of everyday life at Zendesk, and Design Operations focuses on enabling our team, processes, and systems to work together more effectively and have a greater impact on our people and products.
 
 
 
 About The Role
 
 
 
 We are looking for a
 
 Design Operations Intern
 
 (also known as a Design Program Manager or Producer intern) to join the Zendesk Product Design team with a specific focus on
 
 AI Enablement
 
 .
 
 
 As the design landscape rapidly shifts, we are evolving our usage of AI tools. You will help support this internal transformation by optimizing design workflows, piloting new AI capabilities, and supporting the team in integrating AI as a partner for both craft and speed. You will report to the Director of Product Design Operations and work closely with our "AI Champions" to operationalize the future of design at Zendesk.
 
 
 The Zendesk Design team is committed to building and using AI that is transparent and accountable. As a Design Ops intern, you will play a role in ensuring our internal AI enablement maintains the "human-in-the-loop" philosophy that is core to our design craft.
 
 
 
 
 Who You Are
 
 
 
 
 <ul>
 <li>
 AI-Literate &amp; Curious: You are interested in the rapidly evolving landscape of AI tools (like LLMs, generative UI tools, and AI-powered design plugins) and are eager to explore how they can be applied to design processes.
 </li>
 <li>
 Process-Oriented: You enjoy breaking down complex workflows and identifying friction points where automation or AI can add the most value.
 </li>
 <li>
 People-Centered: You are a strong communicator who can translate technical AI capabilities into practical guidance for designers, researchers, and content designers.
 </li>
 <li>
 Design-Minded: You have a solid understanding of the product design lifecycle and are passionate about solving design problems.
 </li>
 <li>
 Critically Optimistic: You are excited about AI&rsquo;s potential, and remain healthily skeptical of its nature. You ask the hard questions: "Is this fair? Is this transparent? Who might this exclude?"
 
 
 </li>
 </ul>
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Workflow Optimization: Optimize specific design and research workflows (e.g., documentation, prototyping, synthesis) that are best enabled by AI to help increase creative bandwidth
 </li>
 <li>
 Audit &amp; Inventory: Help maintain and update an internal AI tool inventory, tracking approved tools, primary use cases, and integration opportunities
 </li>
 <li>
 Enablement Materials: Assist in creating and publishing "AI in Design" quick-start guides, FAQs, and best practices for tools like Figma Make and Lovable.
 </li>
 <li>
 Community Support: Help coordinate the "AI Champions" program and knowledge-sharing rituals like "AI Show &amp; Tells" to surface successful AI use cases across the design org.
 </li>
 <li>
 Measure Impact: Support the collection and analysis of metrics regarding AI adoption, time saved, and its impact on designer satisfaction.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Currently enrolled in a graduate or undergraduate program in Design, Human-Computer Interaction, Business Operations, Program Management, or a related field.
 </li>
 <li>
 A portfolio or work samples demonstrating design thinking and problem-solving &mdash; this could include academic, personal, and/or work projects.
 </li>
 <li>
 Must be authorized to work in the U.S.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with Design Thinking principles and the product development lifecycle.
 </li>
 <li>
 Hands-on experience with emerging AI tools (e.g., ChatGPT, Claude, Gemini, Figma AI, or coding assistants like Cursor).
 </li>
 <li>
 Strong organizational skills and the ability to manage multiple small-scale projects or experiments simultaneously.
 </li>
 <li>
 Curiosity, high tolerance for ambiguity, and passion for learning
 </li>
 <li>
 Strong interest in Inclusive Design or Accessibility (A11y), applying these lenses to how AI tools are used or what they produce.
 </li>
 <li>
 Familiarity with established ethical AI frameworks (e.g., IEEE 7000, the FAST principles&mdash;Fairness, Accountability, Sustainability, Transparency, or the EU AI Act).
 
 
 </li>
 </ul>
 The US hourly base rate range for this position is $31.25-$61.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire rates 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 rate 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 we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; 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 e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
</div>

Design Operations Intern, Product Design

<div><h2 class="jobSectionHeader">Job Description
</h2>The Enterprise Machine Learning team drives organizational value through scalable ML solutions and data-driven insights, fundamentally changing how business decisions are made. We collaborate closely with stakeholders, applying the latest advances in machine learning, deep learning, and large language models (LLMs) to create highly impactful outcomes. Our commitment is to advance the state of AI, statistical modeling, and robust system design to enhance and expand our core business capabilities.
<h2 class="jobSectionHeader">Location
</h2>San Francisco, CA or Austin, TX (Hybrid)
Schedule: This is a hybrid role requiring an average of 2 days per week in-office, or as otherwise determined by the hiring manager
<h2 class="jobSectionHeader">Role Overview
</h2>As a Machine Learning Engineer, you will serve as a technical and strategic member within the team, driving the development and deployment of advanced data science and machine learning solutions&mdash;particularly those harnessing LLMs and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure that business value is embedded in every technical decision. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder-friendly narratives, strengthening partnership and adoption across the enterprise.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling.
</li><li>Build scalable, robust data science systems&mdash;from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring&mdash;meeting enterprise-grade performance, reliability, and compliance standards.
</li><li>Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
</li><li>Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results.
</li><li>Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
</li><li>Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts.
</li><li>Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.).
</li><li>Fostering technical excellence and ensuring alignment with business objectives.
</li></ul><h2 class="jobSectionHeader">What We&rsquo;re Looking For
</h2>Education &amp; Experience:
<ul><li>3+ years&rsquo; experience in Data Science, Machine Learning, or a related field
</li><li>BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
</li></ul>Technical Expertise:
<ul><li>Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
</li><li>Strong programming skills (Python preferred; Java, Scala, or similar also valued)
</li><li>Proven ability to build and optimize scalable data science solution, end-to-end from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
</li><li>Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
</li></ul>Business Acumen:
<ul><li>Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
</li><li>Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
</li></ul>Communication &amp; Collaboration:
<ul><li>Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
</li><li>Experience working cross-functionally with engineers, analysts, and product leaders
</li><li>Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
</li></ul><h2 class="jobSectionHeader">Why You&rsquo;ll Thrive Here
</h2><ul><li>Opportunity to develop and scale of LLM and deep learning solutions with real-world business impact
</li><li>An environment that values innovation, ownership, and professional growth
</li><li>The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team
</li></ul>The US annualized base salary range for this position is $206,000.00-$308,000.00. 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 we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; 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 e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Machine Learning Engineer - Hybrid (San Francisco or Austin)

<div><h2 class="jobSectionHeader">Job Description
</h2>Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection.
We&rsquo;re seeking a Senior Engineering Manager to lead our team focused on cloud governance, IAM, secrets management and delivery. You&rsquo;ll strengthen our cloud security architecture and compliance posture through automation and close partnership with internal engineering teams. By delivering secure‑by‑default platforms and guardrails, you&rsquo;ll protect the integrity of Zendesk&rsquo;s systems while accelerating product engineering velocity.
What you&rsquo;ll be doing
<ul><li>Lead, coach, and develop a distributed team of engineers - both office-based and remote - ensuring alignment and consistent, high‑quality delivery.
</li><li>Manage a portfolio of parallel initiatives with distinct profiles: internal governance systems; audit activities; high-availability production environment infrastructure; etc.
</li><li>Partner with Corp Dev, Security, and product teams during acquisitions to assess risk and standardize access, secret storage, and policy-as-code guardrails across newly acquired infrastructure.
</li><li>Operate with excellence: monitor and improve risk and reliability; own on-call and incident response; continuously evaluate new capabilities (including AI-assisted tooling) to increase velocity safely.
</li><li>Represent your organisation's work and priorities to senior leadership, communicating progress, risks, and trade-offs clearly and concisely.
</li><li>Collaborate directly with the Senior Director of Cloud Infrastructure on the organisation roadmap, priorities, and team development.
</li></ul>What you bring to the role
Required
<ul><li>5+ years of experience in a similar people management role, with a background in hands-on, technical roles.
</li><li>Demonstrated ability to manage and govern enterprise-grade AWS environments. Deep familiarity with key AWS services and concepts.
</li><li>An understanding of modern DevOps methodologies: Infrastructure as Code; GitOps model of development.
</li><li>Strong cross-functional partnership skills - you work effectively with Product Management, Security, CIO, and peer engineering leaders to drive outcomes.
</li><li>Excellent communication skills, both written and verbal - you can represent your organisation's work to senior leadership and communicate trade-offs clearly.
</li><li>Prior experience working with security/compliance frameworks (SOC 2, FedRAMP, ISMAP) and supporting audits.
</li></ul>Preffered
<ul><li>Familiarity with tools such as Claude and Cursor, and the ability to apply them responsibly to improve speed and quality.
</li><li>Experience with non-AWS cloud providers (GCP, Azure)
</li><li>Familiarity with reporting tools like Wiz and Snowflake.
</li></ul>The US annualized base salary range for this position is $200,000.00-$300,000.00. 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.
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 we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; 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 e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Engineering Manager

Join Zendesk and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Zendesk

About Company

Design Operations Intern, Product Design

Senior Machine Learning Engineer - Hybrid (San Francisco or Austin)

Senior Engineering Manager