Top Tech Jobs & Startup Jobs

Owns net-new B2B SaaS sales from prospecting through contract close. The role requires pipeline generation, consultative discovery, executive and multi-threaded selling, value-case development, negotiation, forecasting, CRM discipline, and coordination with solution engineers, specialists, partners, and leadership. The account executive translates service-operation challenges into Zendesk and AI value propositions, closes complex deals, and ensures a clean transition to post-sale teams.

Develop and execute go-to-market strategies for Zendesk’s employee service business. Responsibilities include researching ESM and ITSM markets, creating product messaging, leading launches, enabling sales teams with customer-facing materials, supporting strategic deals, and representing the product in analyst briefings and public speaking engagements. The role partners closely with Product, Marketing, Sales, customers, and senior leadership.

Own the strategy, roadmap, administration, and improvement of Certinia for Zendesk’s Professional Services organization. Partner with IT and stakeholders on system requirements, configuration, integrations, testing, releases, and adoption. Build dashboards, forecasts, and analyses using data from Certinia, Salesforce, finance, and analytics systems. Improve professional services processes, data quality, reporting repeatability, automation, and AI-enabled delivery capabilities while supporting operational and strategic decisions.

Drive new customer acquisition and revenue growth across Bay Area commercial accounts. Manage full-cycle SaaS sales, expand existing customer relationships, promote AI-enabled CX solutions, navigate complex sales cycles, and build executive relationships. Responsibilities include prospecting, consultative selling, cross-selling, upselling, pipeline management, forecasting, territory planning, and collaboration with internal teams to deliver measurable customer outcomes.

Partners with senior Product Development leaders on workforce planning, organizational design, talent management, performance, employee relations, succession planning, and organizational change. Uses people data and employee feedback to guide decisions, coaches leaders, builds inclusive team cultures, and collaborates with cross-functional People teams. Improves People Partner practices while supporting distributed, global technology organizations and responsibly using AI-enabled tools.

Lead global Total Rewards strategy including compensation, equity, benefits, compliance and executive pay. Modernize delivery with analytics, automation and AI, present to executives/Board, mentor a Total Rewards team, and scale programs and governance across jurisdictions.

Own enterprise customers’ AI adoption roadmaps from deployment through expansion. Partner with executives, Product, Professional Services, Sales, Success, and partners to design solutions, coordinate delivery, resolve escalations, and drive measurable adoption, retention, and revenue outcomes. Advise on responsible AI, data governance, compliance, and operational excellence while using analytics to identify risks and optimize customer success.

Conduct inbound lead follow-up and qualification calls for Zendesk prospects, identify customer needs, create Salesforce opportunities, and schedule meetings with Account Executives. Meet or exceed activity and quota metrics while contributing to a collaborative, energetic sales team. The role requires strong communication, organization, active listening, adaptability, and enthusiasm for sales technology in a fast-paced SaaS environment.

Partners with the Chief People Officer and People Leadership Team to execute strategic priorities, manage the People portfolio, oversee planning and budgets, prepare executive and Board materials, facilitate leadership offsites, coordinate engagement events, and lead confidential strategic initiatives.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.