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The role is a regional Expert Services Consulting leader at Zendesk (Austin and Madison) reporting to Bethany Neubauer, tasked with building and scaling a high-performing team that consistently delivers predictable, high-quality outcomes and accelerates customer adoption and value realization. You’ll establish operating rhythms, staffing discipline, and delivery standards, ensure engagements are staffed and delivered on time and within scope, and monitor utilization, capacity, and KPIs to surface risks and drive remediation that protects retention and expansion across ongoing services packages. You’ll partner cross-functionally to drive customer adoption, expansion, and retention, and you’ll innovate scalable delivery motions, embed continuous improvement, and coach the team through change using data- and AI-enabled tools to turn insights into measurable business impact. Basic qualifications include 7+ years in professional services/enterprise SaaS, 2+ years of people management, proven ability to manage multiple concurrent engagements, and strong analytical and communication skills; preferred qualifications include Zendesk Admin experience, AI tool experience, and advanced degrees, with US OTE of $160,000–$240,000 and a 91/9 base/commission mix and potential bonuses. Zendesk emphasizes a fulfilling, inclusive culture with a hybrid work model and equal opportunity employer policies, and notes that AI screening and accommodations may be used in the hiring process to support applicants.

The role is Senior Staff Engineer on Zendesk's Enterprise Data & Analytics team, leading the architecture and engineering of an AI-ready enterprise semantic data platform that unifies analytics, applications, and AI on trusted foundational data models. You will define the enterprise semantic architecture (metrics, dimensions, entities, relationships, grain, time semantics, and business context), establish reusable semantic contracts, evaluate long-term platform options (Snowflake Semantic Views, dbt Semantic Layer/MetricFlow, Cube), design metadata-driven capabilities, and guide conversational analytics and golden datasets while leading multi-team initiatives from PoC to production. You will mentor engineers, influence build-versus-buy decisions, and treat the platform as an internal product to improve adoption, documentation, onboarding, and migration from duplicate implementations. Basic qualifications include 10+ years in data engineering/architecture with at least 3+ years hands-on semantic layer experience, deep expertise with Snowflake/Databricks and dbt, strong SQL and programming skills, and excellent communication for collaboration across executives, architects, engineers, analysts, data scientists, and business stakeholders. Preferred experience includes Snowflake Semantic Views, dbt MetricFlow, Cube, LookML/Looker, or similar semantic platforms, plus familiarity with text-to-SQL, agent evaluation, deterministic vs probabilistic metric boundaries, and evaluating vendors or open-source platforms for adoption roadmaps; the data stack includes Snowflake, Kafka, Tableau/Looker, AWS, Kubernetes, Terraform, and CI/CD tooling, with a US base salary range of $200k–$300k and potential bonuses, while Zendesk supports hybrid work, diversity and inclusion, and reasonable accommodations.

The role is intended to accelerate customers’ time-to-value by driving adoption and operational excellence of Zendesk AI solutions, owning multi-year AI roadmaps, and aligning Product, Services, Sales, and Partners to protect renewals and grow revenue. You’ll lead end-to-end AI roadmap delivery, act as the design authority for deployments, coordinate cross-functional resources, and partner with executives to shape a forward-looking AI strategy and mutual roadmaps, while sustaining ongoing engagement and a channel/adoption strategy with measurable outcomes. The position also requires advising on responsible AI, data governance, and compliance within safe guardrails, and using data-driven insights to track adoption, forecast retention/expansion, and optimize impact. Qualifications include 5+ years in Customer Success/Experience, 1+ year of AI-related experience, enterprise SaaS GTM experience, a track record of using adoption analytics to predict churn and growth, and a bachelor’s degree (AI strategy or PM certifications preferred). Compensation is US OTE $118k–$178k with a 70/30 base/commission split (bonus potential), a hybrid work model, Zendesk’s commitment to diversity and inclusion, and policies on AI screening and accommodations for applicants.

The Director, Compensation at Zendesk owns the strategy, governance, and global operations of compensation programs, translating compensation into a business advantage with scalable, equitable, and market-aligned practices, and a roadmap for advising, analytics, tools, and systems grounded in data rigor and automation. They will partner closely with senior leaders in Finance, Legal, Payroll, Talent Acquisition, HR Business Partners, Total Rewards, and business executives to drive workforce planning, pay equity, budget management, and talent strategy, and serve as the final decision-maker for complex compensation escalations and executive compensation support. Key duties include directing the global compensation function (advising, analytics, tools and systems, policy governance) and developing, modifying, and executing compensation policies and operating models that support pay decisions, job architecture, promotions, and cycle planning. They will lead compensation analytics, forecasting, spend planning, vendor strategy, and governance; own compensation tools and systems; drive continuous improvement and standardization across regions; mentor the team; and establish KPIs, SLAs, and dashboards to measure effectiveness and risk. Requirements include 12+ years in global or executive compensation with 5+ years of people leadership, a related bachelor’s degree, CCP preferred, strong cross-functional partnership, and experience with budgeting and analytics; the US base salary range is $196k-$294k with possible bonus/benefits, and Zendesk is an equal opportunity employer that provides accommodations and may use AI screening per policy.

The role is a strategic, hands-on Startup Growth & Campaign Manager at Zendesk for Startups, responsible for end-to-end funnel execution that bridges top-of-funnel acquisition with mid-funnel activation to drive program applications, onboarding, and paid subscription conversion, using AI to accelerate development. You will own the full-funnel engine with strategy, execution, and optimization of multi-channel campaigns across paid, organic, partner, and community channels, ABM, and VC partnerships to attract founders and convert them to admitted programs and go-live. You’ll design mid-funnel activation and nurture sequences, craft founder-centric copy, and deliver digital programming and events (workshops, webinars, AI immersion sessions) to guide startups through onboarding and rapid Zendesk AI adoption, plus segmented motions for high-value versus high-volume segments and CRO efforts. Requirements include 6+ years in growth/demand/lifecycle/product/performance marketing (B2B SaaS/startups preferred), experience marketing to founders, strong campaign ownership, excellent writing, familiarity with paid media, web analytics, CRM/MA tools, SEO knowledge, data-driven mindset, and robust project management skills. Compensation includes a US base salary range of $96,000–$144,000 with potential bonuses and benefits, and Zendesk emphasizes a hybrid, inclusive workplace with equal opportunity and accommodations for applicants with disabilities, noting that AI may be used to screen applications.

Zendesk is hiring a Technical Sales Engineer to join the engineering presales team, focusing on coding, API integrations, and production-ready POCs to demonstrate the platform’s AI capabilities to customers. Responsibilities include delivering customized POCs and demos, building and maintaining API integrations across complex client stacks, supporting deep technical validations, and helping scale internal tooling and automation templates for the field team, while staying current on AI trends like LLMs and autonomous workflows. Required qualifications include a bachelor’s in a technical field, 2–4 years in a technical client-facing role or hands-on software development, proficiency with JavaScript, Python, Node.js, and REST/SOAP APIs, and willingness to travel ~30%. Preferred qualifications include familiarity with enterprise software infrastructure and cloud ecosystems (AWS/GCP/Azure), experience presenting to technical and non-technical audiences, and a portfolio of personal projects or GitHub contributions. Compensation includes US OTE of $188k–$282k with an 80/20 base/commission split, a hybrid work model with in-office requirements, and Zendesk’s commitment to equal opportunity and accommodations, including AI-based screening where applicable.

The role is Principal Product Manager for CRM & Sales Systems, owning the vision, strategy, and multi-year roadmap for the CRM (Salesforce) and broader sales tech stack, working as part of a leadership triad with the CRM Architect and CRM Platform Tech Lead to deliver an AI-enhanced CRM that changes how sales teams operate. You will define the vision, align technology investments with global sales goals, champion an AI-first mindset (including generative AI, predictive forecasting, copilots, and automated data capture), and redefine sales workflows to reduce friction and enable new ways of working. You will lead the triad, translate business needs into product requirements, maintain deep stakeholder alignment with Sales Leadership, Revenue Operations, Enablement, and Marketing, and relentlessly prioritize the backlog while balancing strategic features with technical debt and system performance, plus define and track KPIs such as adoption, user satisfaction, time-to-quote, data hygiene, and AI adoption rates. Requirements include 8+ years in Product Management with at least 3+ years in internal GTM systems/CRM/Sales Ops at Principal or Senior level, an AI-first focus, deep B2B sales domain expertise, technical fluency with Salesforce and AI integrations, and a track record of cross-functional triad collaboration and user-centric design; bonus points for prior Sales/RevOps/Sales Engineering experience, Salesforce certifications, and prior AI product rollouts. The package includes a US base salary range of $183,000-$275,000 with possible bonuses or incentives, while Zendesk emphasizes hybrid work, diversity, inclusion, equal opportunity, and accommodations for applicants with disabilities, including AI screening as part of the process.

The job is a hands-on CRM Platform Tech Lead at Zendesk who serves as the technical anchor for the CRM engineering team, focusing on immediate delivery and turning complex business requirements into scalable solutions while architects handle the multi-year roadmap. You’ll be the go-to technical expert for a squad of developers and admins, leading by example, owning sprint commitments, tackling the most complex coding challenges, and promoting an AI-first mindset to transform how technology is built and delivered. Your responsibilities include translating high-level requirements into executable technical designs (e.g., Flow vs Apex decisions, complex triggers, and custom UI components), driving solution engineering, accelerating delivery with AI-assisted tooling, mentoring the team, and enforcing code quality and release hygiene with QA and release management. Requirements include 10+ years of hands-on enterprise CRM development (preferably Salesforce) with at least 3+ years in a technical lead or squad lead role; expert-level proficiency in CRM development languages and frameworks (Apex, LWC, SOQL, REST/SOAP APIs, declarative automation); and an AI-first, delivery-focused, mentoring mindset, plus Agile proficiency; bonuses for advanced CRM certifications or experience implementing AI in CRM. The package includes a US base salary of $161,000-$241,000 with potential bonuses and benefits, Zendesk’s hybrid work model and commitment to fairness and inclusion, and information about AI-based screening and equal opportunity employment with accommodations if needed.

The job is a Senior Full Stack Engineer position at Zendesk to build a real-time voice AI product that makes live conversations feel natural and reliable, with a focus on reducing latency and improving AI-driven support. Responsibilities include designing and implementing backend services for real-time voice conversations with emphasis on latency, reliability, and observability; building integrations for telephony, WebRTC, real-time audio processing, and external AI/speech services; shipping end-to-end features; improving platform reliability through monitoring, tracing, autoscaling, and failure recovery; addressing turn-taking and graceful handoffs to humans while collaborating with product and design. Requirements include solid backend fundamentals with API design, async systems, and scalable integrations; hands-on experience with real-time systems (WebRTC, WebSockets) or telephony protocols; a product-driven engineering mindset; the ability to debug latency and reliability issues; and cross-functional collaboration. Basic qualifications are 3+ years building production software with significant backend experience, experience with real-time or event-driven systems (WebRTC, SIP, streaming APIs), and proficiency in Python or equivalent backend languages and async architectures; preferred qualifications include telephony stacks, SIP, media servers, or speech/ASR/TTS integrations, familiarity with LLMs or conversational AI production infrastructure, and experience on full-stack teams shipping both backend and frontend user experiences. The US base salary ranges from $145,000 to $217,000 with possible bonuses/benefits; Zendesk supports hybrid/remote work, may use AI screening for applications, and is an equal opportunity employer committed to diversity, inclusion, and accommodations for applicants with disabilities.

- The role is Senior Manager, Revenue Recognition in Austin, TX, owning the revenue close operations in Zuora Revenue (RevPro) from period open to final posting. - Key responsibilities include leading the end-to-end monthly open/close, posting revenue journal entries to the GL, maintaining balance sheet reconciliations (deferred revenue, contract assets, unbilled AR), providing ASC 606 guidance on complex transactions, mentoring the team, and continuously improving close procedures and controls. - Basic qualifications require 7+ years in revenue recognition or technical accounting, a CPA, hands-on RevPro close experience, and strong ASC 606 knowledge. - Preferred qualifications include SaaS industry experience, NetSuite or ERP experience, and prior mentoring or managing accounting staff. - The role offers a hybrid work arrangement with some in-office time, a base salary range of $151,000–$227,000 plus bonus/benefits, and Zendesk’s commitment to diversity and equal opportunity.

The role is a Senior Full Stack Engineer with a backend-first focus on building real-time voice AI systems, owning features end-to-end, and prioritizing latency, reliability, and conversation flow. Responsibilities include building backend systems powering real-time voice conversations, developing integrations for telephony, real-time audio, and external AI services, shipping features across the voice platform (including some user-facing web experiences), and improving platform reliability, observability, and performance while addressing real-time interaction challenges like interruptions and turn-taking. It’s exciting because you’ll directly impact how conversations feel, tackle low-latency and AI-powered workflows, own work across product, platform, and infrastructure, and help define early voice AI products. Qualifications include 3+ years of production software experience; backend-first with APIs, async systems, integrations, and system design; experience building and owning end-to-end product features; experience with real-time or event-driven systems such as WebSockets, WebRTC, or streaming; and a passion for product quality and user-facing problems (with interest in voice AI). Tech stack includes Python, FastAPI, React, TypeScript, WebRTC, Redis, MongoDB, and modern LLM/speech infrastructure; the US base salary range is $145,000-$217,000 with possible bonuses/benefits, with offers based on capabilities and location; Zendesk emphasizes hybrid work, inclusion, and accommodations for applicants.