Top Tech Jobs & Startup Jobs

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.

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.

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.

Plan and optimize GPU capacity for DigitalOcean’s Serverless Instance offering. Analyze demand and utilization, allocate GPU servers across models, forecast infrastructure needs, and automate assignment decisions. Track rack and power capacity, coordinate physical deployments with data center, network, product, and delivery teams, optimize hardware placement, build dashboards, and escalate capacity risks before they affect availability or revenue.

Build automation and internal tools for DigitalOcean’s physical infrastructure using Go, Python, and AI-assisted development. Partner with technical program managers and infrastructure teams to identify and eliminate repetitive manual work, improve hardware and capacity visibility, and support hardware lifecycle engineering. Take automation workflows from discovery through reliable deployment, simplify complex systems, demonstrate work to engineering teams, and contribute to cross-functional infrastructure projects in a hybrid, asynchronous environment.

Supervises and develops an inbound sales representative team in a quota-driven call center. Responsibilities include coaching, performance management, recruiting, onboarding, scheduling, commission approval, sales strategy development, campaign coordination, and achieving revenue and marketing goals. The role also manages corrective action plans, customer credits, team meetings, and cross-department relationships.

Facilitates virtual and in-person leadership development programs for supervisors through senior directors. Delivers structured and customized content, manages classroom dynamics, supports learner engagement, troubleshoots technology, maintains training records and evaluations, coordinates logistics, provides feedback, and contributes subject-matter expertise to curriculum development.

Manages revenue-generating projects from conception through implementation. Responsibilities include planning schedules, monitoring budgets and performance, coordinating stakeholders, providing customer updates, resolving challenges, tracking service levels, and analyzing project data to support decisions and continuous improvement.

Design, develop, and maintain high-performance C/C++ graphics code and HLSL shaders for NBA 2K. Implement rendering technologies, optimize GPU performance, improve VFX, lighting, and post-processing, collaborate with art and design teams, and support system-wide rendering technology upgrades.