Top Tech Jobs & Startup Jobs

Staff AI Engineer responsible for architecting, building, deploying, and operating production-grade agentic AI workflows and internal AI platforms. The role combines backend and platform engineering, cloud infrastructure, AI security, observability, and developer productivity. Responsibilities include integrating AI models with enterprise systems, establishing evaluation and reliability practices, applying AI across the SDLC, and providing technical leadership while delivering measurable business outcomes.

Design, maintain, and expand AI-assisted automated test frameworks across web, mobile, and API applications. Build Playwright-based tests, integrate suites into CI/CD pipelines, perform regression, performance, smoke, visual, and API testing, and use AI tools to accelerate failure triage and root-cause analysis. Collaborate with engineering, product, and DevOps teams to improve test coverage, reliability, and signal quality while researching emerging AI/ML testing methods.

Own the reliability, scalability, performance, and operational excellence of middleware and cloud infrastructure platforms. Manage Kafka, vector databases, GCP, and GKE environments; develop automation and observability; define SLIs, SLOs, and error budgets; support database operations; and lead incident response, troubleshooting, root cause analysis, and post-incident reviews. Participate in follow-the-sun support and weekend on-call rotations while providing technical leadership and mentoring.

Drive expansion revenue from existing small-business customers through proactive outbound calls, email, SMS, and video conversations. Identify upsell and cross-sell opportunities, understand customer needs, demonstrate AI-powered solutions, manage opportunities through close, and maintain accurate Salesforce pipeline data. The role requires meeting revenue targets, communicating fluently in English, managing a fast sales cycle, applying coaching, and using AI tools to improve performance.

Grow revenue within existing small-business accounts through proactive outreach, discovery, demos, upselling, and cross-selling. Manage the full sales cycle, including pipeline, forecasting, follow-up, and customer relationships using Salesforce. Communicate AI-powered platform value, meet expansion targets, incorporate AI tools, and continuously improve sales and product knowledge.

Manage a high-volume, full-cycle mid-market sales pipeline for businesses with 21–400 employees. Responsibilities include discovery, product demonstrations, qualification, negotiation, closing, Salesforce forecasting, outbound prospecting, lead follow-up, channel collaboration, and achieving monthly revenue targets. The role focuses on short sales cycles, pipeline discipline, customer value positioning, and selling Nextiva’s Unified-CXM platform in an onsite Scottsdale environment.

Manage and lead small business sales activities at Nextiva, helping drive customer acquisition and revenue for its AI-powered customer experience and collaboration platform. The role is based onsite at the company's Scottsdale headquarters and focuses on supporting business growth, team execution, and customer-focused outcomes.

Own the strategy, roadmap, and business outcomes for Nextiva’s mid-market customer experience products. Lead discovery, prioritize omnichannel and AI-powered capabilities, collaborate with Engineering, Design, Data Science, and go-to-market teams, and drive launches and adoption. Use customer insights, analytics, KPIs, and telemetry to guide investments while influencing executives and delivering measurable revenue and satisfaction outcomes.

Own the strategy, roadmap, and business outcomes for mid-market customer experience products serving businesses and BPO operators. Lead customer discovery, prioritize omnichannel and AI-powered capabilities, partner with cross-functional teams through delivery and launch, establish success metrics, drive adoption, and influence executives through data-driven recommendations. Focus areas include shared inboxes, agent workspaces, workflow automation, routing, analytics, and customer interaction platforms.

Leads end-to-end product design across desktop, mobile, and responsive experiences for Nextiva’s AI-powered customer experience platform. Partners with Product, Engineering, and customers to research problems, define solutions, create prototypes and production-ready designs, evolve design systems, and improve experiences through analytics, experimentation, and usability testing. The role also evaluates AI-generated frontend implementations and explores emerging AI-assisted design and development workflows.