Top Tech Jobs & Startup Jobs

Architects and delivers release-synchronous eLearning for complex SaaS products. Converts instructor-led and technical content into scalable self-directed learning, microlearning, videos, and delta-training modules. Maintains reusable design standards, applies WCAG and inclusive design principles, uses AI to improve development efficiency, partners with SMEs, and mentors other designers. The role also manages parallel projects, incorporates learner feedback, and improves product adoption and time-to-value.

Develop and maintain mission-critical applications across the software lifecycle. Responsibilities include writing efficient, testable Java code, ensuring designs meet specifications, owning production code, responding to and triaging incidents, preparing releases, and evaluating technologies for architectural improvement. The role requires experience with Java, Spring Boot, Kafka, Hibernate, databases, REST APIs, application servers, middleware, and Unix/Linux environments.

Conduct quantitative UX research for a complex enterprise platform, including surveys, benchmarking, segmentation, statistical analysis, behavioral telemetry, and longitudinal measurement. Define and audit experience metrics and instrumentation, integrate survey, product, and business data, assess validity and limitations, and communicate evidence-backed findings to product, UX, and leadership teams. Coach teams and review quantitative research to support roadmap and planning decisions.

Enterprise Account Executive responsible for acquiring new clients, expanding existing accounts, generating and qualifying pipeline, meeting sales quotas, and managing a geographic territory. The role involves consultative, value-based selling of enterprise SaaS, executive-level communication, sales presentations and demos, competitive positioning, customer relationship management, and collaboration with business development, partner channel, and solutions engineering teams.

Leads OneTrust’s global digital growth strategy across web, SEO/AEO, paid media, conversion optimization, personalization, and analytics. Owns the digital roadmap, budget allocation, experimentation, performance measurement, and operating cadence connecting digital engagement to pipeline and revenue. Builds cross-functional alignment across marketing, sales, web, content, analytics, and operations; develops teams and scalable processes; improves high-intent journeys, attribution, discoverability, and conversion efficiency. Guides AI-enabled marketing workflows and represents digital growth in strategic planning and technology decisions.

Provide advanced technical support for OneTrust customers by resolving Level 2 and 3 cases, troubleshooting API integrations, JavaScript, performance, and functionality issues, and investigating logs and stack traces. Collaborate with product teams on root-cause analysis, manage escalations and SLAs, document solutions, create knowledge articles, and maintain expertise in the OneTrust platform and privacy industry. The role also involves using Postman, Datadog, browser developer tools, and potentially Android Studio and Xcode.

Leads technical direction and architecture for OneTrust’s Consent & Preferences team. Designs scalable, reliable systems, improves application performance, manages systemic technical risks, and establishes engineering quality standards. Partners across Product, UX, and engineering, mentors engineers on technical judgment and AI-assisted development, and leads initiatives spanning multiple teams or systems. The role requires deep frontend or backend expertise, cloud architecture knowledge, CI/CD and orchestration experience, and strong technical leadership.

Design, build, and maintain highly available application platforms with strong observability and reliability practices. Responsibilities include defining SLIs and SLOs, managing error budgets, improving alert quality, automating operational processes, reviewing architectures, and supporting incident response. The role also develops AI-assisted reliability tools using LLMs and machine learning for anomaly detection, root-cause analysis, and alert triage. It requires collaboration across engineering, operations, and product teams, along with technical knowledge sharing and leadership communication.

Defines organization-wide automation architecture, quality standards, mobile and cloud testing strategies, and deployment-validation practices. Troubleshoots complex automated failures, supports long-running deployments, mentors Staff-level SDETs, conducts peer reviews, and leads quality collaboration with offshore teams across global geographies. The role requires extensive Java, Selenium, API automation, cloud, mobile testing, continuous deployment, log analysis, and cloud-based testing experience, plus professional use of AI-assisted development tools.

Design, deliver, and maintain a highly available application platform. Build observability, define SLIs/SLOs, manage error budgets, reduce alert noise, automate operations and incident response, embed with product teams to catch reliability risks, and develop/integrate AI/LLM tools for operational intelligence and faster incident resolution.