Top Tech Jobs & Startup Jobs

The Senior Cyber Threat Analyst leads cybersecurity incident investigations, coordinates teams, authors runbooks, mentors analysts, and communicates findings to various stakeholders.

The Head of Sales for Mirakl Ads will lead a sales team, drive growth in retail media, and develop client relationships. Responsibilities include defining strategy, managing team performance, and reporting on sales activities.

The Senior Manager, Demand Sales is responsible for driving new advertiser acquisition, overseeing revenue channels, and enabling GTM execution to support AdAction's growth.

Lead and scale the Renewals team to drive ARR and NRR, improve forecasting and pipeline visibility, and standardize renewal processes. Manage end-to-end renewals, contract negotiations, partner-led renewals, and complex customer engagements across North America. Build playbooks, enablement, reporting, and automation to meet retention quotas and reduce churn.

The Growth Account Manager will manage 50-75 accounts, focus on upselling, renewals, and enhancing customer relationships in a SaaS environment.

Lead a distributed engineering team to deliver customer-facing platform features and manage engineering best practices, mentoring junior engineers, and driving strategic improvements across the software development lifecycle.

As a Senior UI Software Engineer, you'll lead front-end development, design user experiences, mentor junior engineers, and integrate AI capabilities into products.

Lead the strategy for customer success and growth in Coupa Pay, ensuring customer satisfaction, adoption, and transactional volume while guiding major clients through digital payment transformations.

Build and maintain production SDKs (TypeScript, Python, Go) and integrations for AI agent frameworks and edge runtimes. Implement DNSid identity flows, cryptographic key lifecycle, middleware/plugins, testing and CI pipelines, package releases, and reference apps. Collaborate with Developer Advocates and technical writers while contributing upstream to third-party frameworks and shaping protocol specifications.

Develop scalable ML platform infrastructure, support ML training and deployment, collaborate on software tools for scientists, and enhance workflows and automation.