Full-Time

Manager – Customer Advocacy

Posted on 8/23/2025

Zendesk

Zendesk

5,001-10,000 employees

Subscription CRM software for customer service

Compensation Overview

$83k - $125k/yr

+ Bonus + Benefits + Incentives

Madison, WI, USA

Hybrid

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.

Category
Customer Experience & Support (1)
Required Skills
JavaScript
REST APIs
HTML/CSS
Requirements
  • Bachelor’s Degree or equivalent
  • 6+ years experience supervising in a technical support operation
  • Proven experience in mentoring and developing people and leaders
  • Demonstrated expertise using metrics to drive process and quality
  • Strong ability to build and maintain relationships at all levels
  • A proven ability to influence, gain support where necessary and engage others remotely
  • Clear customer focus, solution driven, and adaptable to rapidly changing priorities
  • High degree of self-motivation and ability to work on own initiative
  • Excellent verbal and written communication skills
  • Experience crafting, implementing, supporting, and solving issues in complex multi-vendor / multi-platform solutions
  • Knowledge of HTML, XML, JavaScript or CSS
  • Experience with RESTful API
  • Experience resolving tickets in a SaaS environment
  • Experience with customer support from an operations perspective
  • Experience and understanding of customers use a multi-tenant SaaS / cloud provided software
Responsibilities
  • Manage and coach a team of Advocates, supporting them and helping to remove roadblocks as needed.
  • Coach Advocates to deliver on KPI/Metric targets while consistently developing new initiatives or iterating on existing processes to drive success. Coaching is 60% of the role.
  • Expedite advanced customer issues, reduce first reply time and full resolution time, actively monitor and address all escalations as needed.
  • Analyze long term trends and work with Managers on hitting key performance metric targets to ensure customer satisfaction.
  • Manage team allocations, people expectations, and career development opportunities.
  • Collaborate with senior leadership teams to proactively drive service improvements and manage projects.
  • Consistently drive teams towards higher performance and quality expectations and champion a philosophy of continuous improvement.
  • Communicate and work with a global peer group to maintain consistency in delivering the best experience for the customer.
  • Hire and develop new Advocates.
  • Partner with other departments to be the voice of the customer and provide continued pathways of communication for better escalations.
  • Lead weekly team meetings to ensure team understanding of company initiatives.
  • Be part of the escalation process to handle customer issues with the highest sense of urgency.
  • Conduct QA evaluations and provide coaching feedback to team members. Remain calibrated with the Quality team and other managers.
  • Drive product change and improvement through continuous feedback and exposure to projects that help make Zendesk the leading support platform.
  • Liaise with internal departments and help them be successful in their roles to resolving customer issues.
  • Be the first responders for all executive escalations related to Zendesk’s customer needs.
Desired Qualifications
  • Bachelor’s Degree or equivalent
  • 6+ years experience supervising in a technical support operation
  • Proven experience in mentoring and developing people and leaders
  • Demonstrated expertise using metrics to drive process and quality
  • Strong ability to build and maintain relationships at all levels
  • A proven ability to influence, gain support where necessary and engage others remotely
  • Clear customer focus, solution driven, and adaptable to rapidly changing priorities
  • High degree of self-motivation and ability to work on own initiative
  • Excellent verbal and written communication skills
  • Experience crafting, implementing, supporting, and solving issues in complex multi-vendor / multi-platform solutions
  • Knowledge of HTML, XML, JavaScript or CSS
  • Experience with RESTful API
  • Experience resolving tickets in a SaaS environment
  • Experience with customer support from an operations perspective
  • Experience and understanding of customers use a multi-tenant SaaS / cloud provided software

Zendesk provides cloud-based customer service and support software that helps businesses manage customer interactions. It offers a suite of tools (ticketing, live chat, analytics) as part of a subscription-based CRM platform designed to streamline support workflows across industries. The product works as a scalable cloud solution: organizations choose pricing tiers, implement ticketing and chat in their support channels, track performance with analytics, and use training and certification resources to maximize use. What sets Zendesk apart is its broad, adaptable platform tailored for companies from startups to enterprises, extensive integrations, and a clear focus on service-first CRM, with a recurring revenue model built on subscriptions. The company’s goal is to help organizations improve customer service operations, boost efficiency, and enhance customer satisfaction and loyalty by making support processes easier to manage.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

San Francisco, California

Founded

2007

Simplify Jobs

Simplify's Take

What believers are saying

  • Microsoft 365 integration expands Zendesk into daily employee workflows.
  • Multilingual voice AI across sixty-plus languages strengthens global support adoption.
  • Quality Score and Context Graph deepen governance, analytics, and enterprise upsells.

What critics are saying

  • Outcome-based pricing makes revenue forecasting harder and increases disputes.
  • Autonomous agents create visible failure risk that damages trust after public mistakes.
  • Deep Microsoft and ecosystem integrations increase dependence on external platforms and governance complexity.

What makes Zendesk unique

  • Zendesk's Resolution Platform unifies data, knowledge, workflows, and governance.
  • Agent Builder lets customers create custom AI agents without code.
  • Outcome-based pricing charges only for verified resolutions, not ticket volume.

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Your Connections

People at Zendesk who can refer or advise you

Benefits

Hybrid Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-3%

2 year growth

-2%
Zendesk
May 27th, 2026
Zendesk appoints Tifenn Dano Kwan as Chief Marketing Officer.

Zendesk appoints Tifenn Dano Kwan as Chief Marketing Officer. Transformational GTM Leader Joins to Scale Global Growth and Capture the Autonomous AI Opportunity Gepubliceerd 27 mei 2026 Zendesk has named Tifenn Dano Kwan as Chief Marketing Officer. This appointment comes as Zendesk accelerates its push into creating a true Autonomous Service Workforce. Dano Kwan will oversee the global marketing organization with a specific focus on market differentiation and pipeline. Dano Kwan joins Zendesk from Amplitude, where she served as Chief Marketing Officer, leading the company's strategic go-to-market transition into an AI-native analytics platform. During her tenure, she oversaw a 52 percent year-over-year increase in website traffic and built a global marketing engine responsible for over a third of marketing-sourced pipeline. Prior to Amplitude, her executive career includes nearly a decade at SAP, where she served as Chief Marketing Officer for both SAP Ariba and SAP Fieldglass, as well as leadership roles at Collibra and Dropbox. "Tifenn is a disciplined leader who understands how to connect marketing strategy to measurable growth," said Tom Eggemeier, CEO, Zendesk. "As we reinvent Zendesk for the next generation of customer service, Tifenn's deep expertise in scaling pipeline, leading AI-driven marketing, and aligning GTM functions will be essential. Her ability to articulate the tangible value of our technology makes her the right person to lead our brand as we move toward an autonomous service workforce." This appointment coincides with significant business momentum for Zendesk's AI offerings. AI bookings more than doubled in fiscal year 2026, and the company is currently on track to more than double that figure again in fiscal year 2027 to over $400M. This surge in demand reflects widespread customer adoption following the recent rollouts of agentic messaging alongside new voice and email AI agents. "Agentic Service is the defining opportunity in CX right now and there's no brand better positioned to lead it than Zendesk. Years of category leadership have built a level of trust and credibility with the market that you can't manufacture overnight, and that equity is exactly what's needed to take AI from promise to proof. Our true structural moats lie in our deep industry vertical expertise, our massive knowledge and data foundation, and a platform with trust and governance engineered directly into it. I'm excited about the opportunity to further extend and amplify Zendesk's category leadership in the AI era," said Dano Kwan. Dano Kwan steps into the role as market demand for specialized, outcome-based AI solutions outpaces general-purpose alternatives. Her executive career spans major global markets, including leadership positions in Singapore, Sydney, Paris, and San Francisco. She will put this deep international experience to work immediately to drive global demand for Zendesk.

Help Desk Migration
Apr 16th, 2026
How Pandora migrated from Zendesk to Salesforce Service Cloud across 37,000 employees.

How Pandora migrated from Zendesk to Salesforce Service Cloud across 37,000 employees. Updated April 17, 2026 In global retail, data silos aren't just a technical issue; they block customer loyalty. For Pandora, the world's largest jewelry brand, digital transformation was the key to moving from fragmented support to a unified, enterprise-level customer experience. As part of this transformation, Pandora migrated from Zendesk to Salesforce Service Cloud (Agentforce Service). For a company of this scale, even a short migration downtime could cost millions. That's why they partnered with Help Desk Migration to ensure a smooth, secure, and zero-downtime data transfer. About Pandora. Pandora is the world's largest jewelry brand, delivering "affordable luxury" across 6,500+ points of sale and a global workforce of 37,000. In 2024, the company generated $4.6 billion in revenue and sold over 100 million pieces of jewelry. To keep up this momentum, Pandora launched a digital transformation. The goal was to move away from siloed tools and consolidate support operations into a single ecosystem. This way, their support team can ensure every customer enjoys a seamless experience, no matter where they are in the world. Why Pandora migrated from Zendesk to Salesforce. As Pandora's digital operations grew, they decided to migrate from Zendesk to consolidate their other platforms within the Salesforce ecosystem. Most importantly, Salesforce Service Cloud (Agentforce Service) is designed better to integrate customer service operations with other internal systems and create a more unified platform for managing customer interactions. This move lets customer service data flow seamlessly across their existing systems and supports their long-term operational goals. Agents now access a 360-degree customer profile, including purchase history, repair claims, and past interactions. So Salesforce Service Cloud (Agentforce Service) replaced isolated tickets with a unified view of customer data. Insight: This case scenario is typical for enterprises merging multiple support platforms to boost efficiency, minimize data loss, and enable reliable cross-team automation. As a result, they get seamless collaboration and consistent, high-quality customer service. Migration goals and scope. The goal was a high-fidelity migration of Pandora's entire support history. It wasn't a simple move, since it involved years of customer data they needed under their historical data retention strategy. What was migrated: * Tickets and contacts: Full interaction history and complete customer profiles. * Call recordings: Critical for quality assurance, training, and compliance across global operations. * Attachments: Product images and documentation essential for repair workflows and warranty claims. * Side conversations: Internal notes and third-party communications from Zendesk to retain full context behind each ticket. Moreover, Pandora audited large volumes of historical data to migrate only what mattered. This way, their team ensured Salesforce (Agentforce Service) contained all mission-critical context. How the migration was planned. With Help Desk Migration, Pandora engineered an enterprise-level transition that comes down to the following steps: 1. Data governance. The Pandora team obtained security and compliance approvals for all migration tools. Sensitive customer data remained protected at every stage. 2. Data strategy. Next, the enterprise established a data retention policy and selected which historical records to retain. Retaining only high-value data reduced clutter and kept Salesforce (Agentforce Service) efficient. 3. Field mapping. Pandora performed detailed mapping of fields and objects between Zendesk and Salesforce (Agentforce Service). After that, they worked closely with business teams and stakeholders to validate the mappings. 4. Testing phase. The team ran multiple Demo Migrations in a sandbox environment. This step detected conflicts with automations and validation rules before the Full Migration. Help Desk Migration guided Pandora at every step. Its team provided excellent support, responding quickly to questions and resolving issues efficiently. Support reps guided the Pandora team through the license procurement process and clearly explained how the migration would work. Its expertise and hands-on support were key to completing the migration. Challenges during Salesforce migration. Even with the best tools, enterprise migrations face hurdles. Pandora encountered a common challenge: Salesforce's validation rules and automations. In enterprise environments, help desk platforms often include complex business logic that can alter incoming data during migration. In addition, specific automaitons can flag historical records as invalid during migration. They can also enforce compliance and reduce manual, repetitive tasks for support agents. To avoid disruptions, the team used a 3-step approach. They temporarily turned off these rules, migrated the data without errors or unnecessary triggers, and then re-enabled them once the process was complete. Results. Pandora's migration delivered a seamless enterprise-scale transformation. The Salesforce (Agentforce Service) platform now supports global operations without service disruption, giving its business a solid foundation for growth. Here are the key results: * Successful enterprise migration: Global support operations moved from Zendesk to Salesforce Service Cloud (Agentforce Service) to align with digital goals. * Complete data integrity: All customer records, including tickets, attachments, call recordings, and internal conversations, migrated with full accuracy. * Zero downtime: Pandora handled all automated workflows carefully to ensure uninterrupted support. * Scalable, unified platform: Consolidated data provides a 360-degree customer view, enabling faster decision-making, better reporting, and consistent service worldwide. Expert tips from Pandora team. Pandora's approach offers a clear blueprint for enterprise teams planning a similar migration: Map fields, objects, and relationships before starting the migration. During the process, you get to decide how to match each field for tickets, articles, customers, and organizations. You can skip a field or choose a default value. This process ensures data stays accurate, structured, and usable in the new help desk platform. 2. Run multiple test migrations. For an enterprise migration, a Demo Migration in a Sandbox environment is a must. This step helps identify automation conflicts, validation errors, missing dependencies, or field mismatches. Using a staging environment for Demo Migration also helps prevent disruption to support operations if your team is already working on the target platform during the migration. As a result, your team can address problems before the Full Migration impacts live operations. 3. Disable automations. Review and temporarily turn off complex automations or validation rules during migration. Temporarily switching them off prevents errors, duplicate or blocked records. Once the data has migrated safely, turn on the automations to maintain normal operations and protect ongoing processes. Key takeaways for enterprise teams. Planning an enterprise migration isn't an easy task. Because of its scale and complexity, such a migration touches every layer of operations, from data integrity to automated workflows. However, teams that plan strategically and anticipate system-level conflicts can minimize risk and maintain business continuity. Here are three key principles of Help Desk Migration to follow: Migration = data + process + systems. Enterprise migration is a complete alignment of data, workflows, and business logic across systems. You need to preserve every dependency, relationship, and automation to ensure the new platform works as expected. Start with these pre-migration steps: 1. Audit your source data Clean up outdated, incomplete, or invalid records before migration. This way, you reduce clutter, prevent errors, and ensure only relevant data is transferred. Configure settings in advance. For instance, you can create agent profiles, set up custom fields, and adjust business rules if needed. Choose a time that minimizes disruption and align your team in advance. If your support team continues working in the source platform, use Delta Migration to migrate new and updated tickets. You can also consider Interval Migration to control timing. Testing is Critical. At scale, assumptions can be costly. Multiple test migrations in a sandbox environment are essential to validate data, check workflow continuity, and identify potential issues before they impact live operations. Testing also allows you to fine-tune configurations and prepare your team to work in the new system using real data. Automation conflicts are expected. Complex platforms like Salesforce Service Cloud (Agentforce Service) use validation rules and automation triggers that may block or flag data during migration. Plan a controlled deactivation window and carefully re-enable automations post-migration to prevent errors and maintain support flow. Ready to migrate? Growth shouldn't come at the cost of downtime. Pandora's migration journey shows that you can move from an outdated system without pausing support or risking data accuracy. If your team needs to stay fully operational right up to the switch, automated migration ensures continuity, accuracy, and speed. Request a Free Demo Migration to see how your customer records move without downtime. Or download a PDF case study to learn more about enterprise-level migrations. Help Desk Migration Automated service to migrate your data between help desk platforms without programming skills - just follow simple.

CXOToday
Apr 2nd, 2026
Zendesk appoints Bikram Mazumdar as Vice President, Asia to accelerate growth.

Zendesk appoints Bikram Mazumdar as Vice President, Asia to accelerate growth. Zendesk today announced the appointment of Bikram Mazumdar as Vice President, Asia effective immediately. Based in Singapore, Mazumdar will oversee the company's growth and go-to-market strategy across the region and primarily for markets in India, South East Asia, North Asia, and Korea. He reports to Mitch Young, Senior Vice President, APAC, Zendesk. A seasoned enterprise leader, Mazumdar joins Zendesk with extensive expertise in Customer Experience (CX), Employee Experience (EX), and AI platforms. His career spans leadership roles at Yellow.ai, Sprinklr, Oracle, and IBM, where he consistently built high-performing teams and expanded enterprise footprints across APAC and EMEA. "Asia is a complex, diverse, and rapidly evolving region that remains a cornerstone of our global expansion strategy. Bikram's deep expertise in conversational AI and his proven track record of scaling enterprise business in these markets make him the ideal leader to ignite our growth here. His appointment will be instrumental as we help more organisations in the region transition to AI-powered service models," commented Mitch Young, Senior Vice President, APAC, Zendesk. The appointment comes as AI adoption in the region is gaining momentum, with many regional firms moving beyond pilot phases to full-scale deployment. As organisations in Asia Pacific prioritise the integrated blend of AI, data, and human understanding, Zendesk is working with leading brands across sectors to enable a seamless structural shift. According to Zendesk's CX Trends research, 77% of APAC consumers say their service standards have increased over the past year. Additionally, 75% want more personalised experiences from brands using AI, and 96% want clear AI explanations. Alongside these consumer trends, businesses in Asia are looking to AI to solve productivity challenges with service tools that drive internal efficiencies. "I am incredibly excited to join Zendesk at a time when the business is leading the charge in AI-powered service. Zendesk's ability to deliver immediate value through intelligent, empathetic, and seamless service systems is industry-leading," said Bikram Mazumdar, Vice President, Asia, Zendesk, "I look forward to building on our strong foundation in Asia, fostering deep-rooted trust with our partners, and helping our customers move the needle forward in their digital transformation journeys."

Relative Insight
Mar 31st, 2026
Relative Insight named in Forrester's Customer Feedback Management and Analytics Solutions Landscape.

Relative Insight named in Forrester's Customer Feedback Management and Analytics Solutions Landscape. Independent analyst recognition validates Relative Insight's deterministic AI approach to text analytics as enterprises increasingly demand reliable, evidence-based insight from customer feedback Relative Insight, the AI-powered root cause analytics platform, has been named as a vendor in Forrester Research's The Customer Feedback Management and Analytics Solutions Landscape, Q1 2026 report. The report covers 31 vendors evaluated across geographic focus, industry focus, deployment model and use case differentiation - making inclusion a meaningful signal of market relevance in an increasingly competitive category. The Forrester report defines customer feedback management and analytics solutions (CFMAS) as software solutions that aggregate qualitative and quantitative feedback, apply advanced text mining and machine learning techniques, and deliver actionable analytics to improve understanding of customers and inform strategic business decisions. Relative Insight was recognised for its focus on four extended use cases: omnichannel CX analytics, CX measurement, closing the loop with customers and conversation intelligence for CX. Relative Insight's strength in these categories reflects the platform's ability to turn high-volume, unstructured customer feedback into clear, repeatable and actionable intelligence. Ben Hookway, CEO of Relative Insight, commented: "Being named in a Forrester Landscape report alongside some of the largest players in the CX technology market is a strong endorsement of what Relative Insight Ltd has built. But more importantly, it reflects the genuine problem Relative Insight Ltd is solving. Enterprises are drowning in customer feedback data and struggling to extract insight they can actually act on with confidence. "Our deterministic AI engine produces metrics that are repeatable and evidence-based - that's a fundamentally different proposition to bolting a generic LLM onto a dashboard and calling it AI." A differentiated position in a crowded market. The Forrester report highlights a market under pressure. GenAI's rapid adoption is eroding traditional vendor differentiation. Against this backdrop, Relative Insight's positioning as an analytics-first, collection-agnostic platform sets it apart from the majority of CFMAS vendors. Unlike platforms that bundle data collection with analytics, Relative Insight integrates with existing feedback infrastructure - including tools such as Qualtrics, Zendesk and Amazon Connect - and applies its proprietary analysis engine across all connected data sources. This approach addresses what Ben Hookway describes as the core enterprise problem: not a lack of data, but a lack of reliable insight from the data already collected. The case for deterministic AI. In its Forrester submission, Relative Insight made a clear distinction between probabilistic GenAI and its own deterministic AI engine - a differentiation the company believes will become increasingly important as enterprise buyers grow more sophisticated in evaluating AI claims. "The market has reached a point where saying you have AI is table stakes," Ben added. "What matters now is whether your AI produces outputs that senior stakeholders can act on with confidence. Deterministic metrics give teams hard evidence. That's what drives real ROI from customer feedback programs." Relative Insight also highlighted the critical importance of insight distribution - ensuring that the right analysis reaches the right stakeholders automatically, rather than being buried in decks and dashboards. The company's propagation layer, which delivers tailored insights to specific teams and individuals, is now a standard component of all new customer deployments. Looking ahead. Relative Insight's forward-looking roadmap includes deeper integration with orchestration and agentic platforms, enabling automated business actions to be triggered directly from customer language signals. This includes identifying churn risk or vulnerable customer language and immediately invoking next-best-action workflows. The company is also developing MCP-compatible connectivity to allow agentic enterprise systems to call directly into its analytics capabilities. Want to find out more about Relative Insight's place in the customer feedback management and analytics solution sector? Download the full Forrester report now. Forrester does not endorse any company, product, brand or service included in its research publications and does not advise any person to select the products or services of any company or brand on the basis of ratings mentioned in Forrester research publications. Forrester's research publications consist of the opinions of Forrester's research organisation and should not be construed as statements of fact. Forrester disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Deskwoot
Mar 21st, 2026
How transparent is Deskwoot's pricing in practice? No surprises on add-ons, AI overage, or channel limits.

How transparent is Deskwoot's pricing in practice? No surprises on add-ons, AI overage, or channel limits. Deskwoot Team. March 21, 2026 Understanding Deskwoot's transparent pricing model. When choosing a customer support software, pricing transparency is crucial for budgeting and scaling confidently. Deskwoot stands out as an AI-powered help desk platform offering clear, predictable pricing designed to avoid hidden fees or surprises. Based on industry data and user reviews, Deskwoot's pricing is remarkably straightforward compared to competitors like Zendesk, Freshdesk, and Intercom. Are there any additional costs or add-ons? Deskwoot's pricing includes an all-in-one omnichannel inbox supporting Email, WhatsApp, Instagram, Facebook, Telegram, SMS, and Live Chat without separate per-channel costs. Unlike some platforms that charge extra for WhatsApp or SMS messages due to third-party gateway fees, Deskwoot integrates these channels directly in its plans. For SMS and WhatsApp, the costs you pay to providers like Twilio or Meta are passed transparently, but Deskwoot does not mark up these fees or hide them. What about AI usage and overage charges? Deskwoot's AI chatbot and AI Copilot features operate on a pay-per-use model starting as low as $0.01 per conversation. This is up to 200 times cheaper than many AI competitors. Crucially, there are no unexpected flat fees or complicated tiers. If your AI interactions exceed your estimates, you pay for the actual volume used, with clear pricing upfront. This prevents bill shock versus "unlimited AI" plans that enforce strict fair usage policies or hidden limits. Channel and usage limits: any caveats? Deskwoot offers generous limits, including unlimited contacts and no capped conversations per agent per month, based on its analysis and customer feedback. This contrasts with some competitors enforcing "fair use" caps that force costly upgrades if message volumes spike. Moreover, Deskwoot provides full data retention options without surprise tier jumps. For example, history retention varies by plan but remains clearly documented, with higher tiers offering longer storage for compliance. Summary: transparent, predictable pricing designed for growth. Overall, Deskwoot's pricing is highly transparent in practice. There are no hidden charges, no forced add-ons, and no confusing limits on channels or AI use. The platform delivers omnichannel customer support software and AI automation at up to 80% less than Zendesk while avoiding common pitfalls like surprise WhatsApp fees or AI overage bills from third-party providers. Research shows companies using AI-driven support platforms like Deskwoot resolve tickets 40% faster while cutting costs dramatically. If your team values clear pricing without surprises, Deskwoot is among the most trustworthy SaaS options in the market today.

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