Top Tech Jobs & Startup Jobs

Supports process quality, contamination control, root-cause investigations, corrective actions, and process improvement within semiconductor manufacturing. Analyzes manufacturing and contamination data using statistical, AI, and data analysis techniques to identify trends and risks. Develops dashboards, reports, and monitoring tools, collaborates with cross-functional engineering teams, and presents technical findings and recommendations.

Develop next-generation SSD hardware architectures from concept through production. Define architectures, design power topologies, ensure power integrity, simulate and analyze designs, and improve performance and reliability. Collaborate with firmware, system, and validation teams, participate in design reviews, develop requirements, and mentor hardware engineers. The role requires expertise in circuit design, PCB implementation, high-speed routing, signal and power integrity, and simulation tools.

Develop and maintain UVM-based SystemVerilog verification environments and Python testbenches for advanced ASIC and SoC designs. Define and execute block- and system-level verification plans, debug functional and integration issues, drive coverage closure, and improve verification quality. Collaborate with design and post-silicon validation teams while evaluating AI-assisted techniques to increase verification productivity and debugging efficiency.

Supports roadmap development and product enhancement for investing and wealth management solutions. Owns the backlog for assigned workstreams, writes requirements and user stories, prioritizes features, and partners with Engineering, Design, Compliance, Operations, and VOS teams. Translates back-office workflows into internal efficiency tools, participates in agile ceremonies, tracks product performance, and supports compliant, user-centered delivery using AI responsibly.

Define and execute the product vision and roadmap for Runpod’s AI cloud platform, including GPU infrastructure, serverless endpoints, APIs, foundational services, and developer experience. Lead and scale the product and design organization, engage customers, partner with engineering and infrastructure leadership, establish pricing and packaging, guide go-to-market strategy, and prioritize initiatives using product analytics and customer insights.

Deliver customer-facing technical solutions integrating monday.com into enterprise technology stacks. Responsibilities include technical discovery, requirements gathering, custom application and agentic AI development, data migration, API and identity integrations, production deployment, documentation, and customer enablement. The role also involves technical consulting, stakeholder communication, advocating for customer needs, and building reusable internal services tooling and components.

Delivers customer-facing technical solutions using monday.com integrations, custom applications, data migrations, and agentic AI. Leads discovery, requirements gathering, implementation, documentation, and customer communication across complex enterprise engagements. Develops reusable internal tooling and advocates for customer needs with Product and R&D teams. Requires experience with enterprise software, AI engineering, APIs, TypeScript or JavaScript, integrations, cloud deployment, and consultative delivery.

Designs and oversees complex enterprise AI deployments for external customers. Responsibilities include technical discovery, AI and data architecture, integrations, migrations, effort estimation, statements of work, solution documentation, security and governance standards, delivery oversight, customer presentations, and mentoring engineering teams. The role also develops reusable estimation models, discovery tools, and reference architectures while supporting the sale of technical services. This is a hybrid position requiring three days weekly in the New York office.

Supports custom customer engagements by configuring Risk Cloud applications and workflows, documenting requirements, tracking project time, communicating project status, and participating in customer-facing working sessions. Uses AI tools to streamline documentation and meeting summaries, develops GRC and compliance expertise, and completes platform certifications. The role requires strong organization, communication, technical aptitude, and flexibility to travel for customer and team engagements.

Build and maintain backend services, REST APIs, data layers, tests, and microservices for a SaaS platform. Responsibilities include debugging distributed production systems, managing PostgreSQL and advanced data stores, documenting APIs and data models, participating in Agile development and code reviews, and owning a platform domain. The role requires Java or Kotlin, Spring Boot, API design, database optimization, monitoring, security tooling, and AI-assisted development. Preferred experience includes Go, Neo4j, RabbitMQ, Redis, multi-tenant SaaS, event-driven systems, microservices, and containerization.

Build and scale automated testing frameworks, end-to-end regression suites, API and integration tests, and test data infrastructure for a SaaS platform. Diagnose distributed-system failures using logs, API data, Datadog, and AI tools. Define QA standards, document test strategies, participate in Agile delivery and code reviews, and mentor QA analysts in automation practices.

Lead enterprise digital strategy and transformation engagements, assessing customer experiences, operating models, capabilities, and technology ecosystems. Develop digital roadmaps, prioritized recommendations, business cases, and AI-enabled use cases. Advise C-suite stakeholders, facilitate executive workshops, define customer-centric omnichannel strategies, and align multidisciplinary teams across experience design, product, data, technology, and marketing.

Deliver and configure Adobe Workfront solutions for enterprise clients: administer environments, build dashboards/reports/forms/workflows, implement automations and integrations, ensure data governance and security compliance, optimize instances, and provide client-facing enablement and documentation to support billable engagements.

Leads marketing technology platform architecture and consulting, with primary expertise in Adobe Workfront and Workfront Fusion. Designs scalable implementations, automated workflows, integrations, and data schemas; supports sales, estimates, workshops, demos, and client presentations. Oversees delivery teams and client programs, advises customers and Adobe partners, develops packaged offerings, drives platform adoption, and provides thought leadership across marketing technology and digital experience platforms.

Manage end-to-end software renewals for LATAM customers, including tracking renewal intentions, preparing contractual quotes, coordinating with Sales and Finance, engaging stakeholders in value discussions, supporting contract changes, and meeting reporting and renewal deadlines. The role requires strong organization, communication, accuracy, multitasking, spreadsheet skills, and Spanish or Portuguese proficiency is advantageous.

Consult PaaS clients on prior authorization decision automation programs, translating requirements into technical blueprints and partnering with Product, Design, Development, and Engineering. Build strategic improvement roadmaps, analyze healthcare authorization data, maintain dashboards and reports, monitor client KPIs, and ensure automation success throughout the customer lifecycle. The role also identifies scalable workflow improvements and guides customers in maximizing platform value.

Configures and tests clinical platform requirements for healthcare clients, defines test scenarios and success criteria, troubleshoots technical issues, and supports implementations. Serves as a configuration subject-matter expert for client-facing teams, collaborates with Product, Development, Design, and Engineering, and helps develop scalable configuration management tools.

Leads a 20-plus-person distributed Review Engineering organization across three agile squads. Owns technical direction, production reliability, incident response, system scalability, delivery metrics, hiring, performance management, and engineering career growth. Partners with Product, Design, Security, Clinical Operations, and peer engineering teams to deliver reliable, secure, high-quality systems in a regulated healthcare environment.

Lead brand partnership sales for the Travel and Credit Cards category across digital and experiential advertising. Represent the company portfolio, develop client and agency relationships, generate revenue through outreach and RFPs, create integrated advertising solutions, forecast performance, study industry trends, collaborate cross-functionally, and exceed revenue goals.

The Senior Software Engineer will design and build scalable AI/ML backend systems, develop data pipelines, and collaborate with cross-functional teams to implement ML-driven features while ensuring system performance and documentation.

Provides executive administrative and corporate governance support to the Deputy General Counsel and legal leadership. Manages Board and Committee meeting logistics, confidential materials, Board portals, corporate records, resolutions, action items, director onboarding, and shareholder meetings. Supports executive calendars, travel, expenses, communications, legal operations, budgeting, contracts, and vendors. Requires exceptional organization, discretion, communication, judgment, and ability to manage competing deadlines while working with executives, directors, and cross-functional teams.

Develop market-entry strategies and operating models for Airwallex’s expansion across the Americas. Assess market attractiveness, regulatory feasibility, licensing, partnerships, and competitive dynamics; translate requirements into product scope and launch dependencies; drive cross-functional readiness; resolve blockers; support executive decisions; and build reusable frameworks, dashboards, and AI-enabled tools. The role also contributes to broader CEO Office strategic initiatives.

Leads a data engineering team responsible for data modeling, batch and streaming ETL pipelines, analytics-ready datasets, data governance, and data quality. Hires, coaches, and manages engineers while setting technical direction and partnering with engineering, product, and business stakeholders. Oversees scalable data foundations across regulatory, customer, business, content, and growth domains, and advances practical AI automation and AI-ready infrastructure.

Lead and grow a data engineering team to build and maintain data models, batch and streaming ETL pipelines, and governance practices. Partner with platform, product, and business stakeholders to ensure reliable, governed, and scalable data for BI, ML, and operations while driving AI strategy and technical direction.