Top Tech Jobs & Startup Jobs in Boston, MA

Lead strategy, roadmap, and lifecycle for mobile (iOS/Android) and web products. Define features, acceptance criteria, and prioritize workflows. Translate banker needs into product requirements, run agile ceremonies, collaborate with UX, Engineering, AI, and CRM teams, and iterate using behavioral analytics.

Senior frontend role to design, develop, and maintain React/Next.js web interfaces. Build reusable components, optimize performance, write unit and integration/end-to-end tests, fix bugs, participate in code reviews, and collaborate with designers and team members to deliver high-quality code.

Lead end-to-end UX design from discovery to delivery. Conduct user research and usability testing, define personas and IA, create wireframes/prototypes/high-fidelity designs, ensure design system consistency, validate with data, and mentor junior designers.

Design, develop, and execute automated API tests; perform manual and automated UI testing; write and run SQL queries to validate data; collaborate with developers to resolve defects; maintain test plans, cases, and scripts; participate in code reviews and improve testing processes and methodologies.

Lead strategy, roadmap, and delivery of agentic AI and LLM-powered platforms. Define features, partner with engineering on multi-agent systems and LLM workflows, translate technical concepts into user value, work with enterprise clients on adoption, and measure product performance to drive iteration.

Lead platform architecture design and strategy to ensure scalable, reliable cloud-native systems. Guide teams on microservices, APIs, IaC, containers, CI/CD, security, and performance optimization. Establish governance, standards, and documentation while collaborating with product, DevOps, QA, and stakeholders.

Lead and oversee end-to-end program delivery, including strategy, budgeting, risk management, team leadership, stakeholder communication, performance measurement, and continuous improvement to deliver complex projects.

Design, build, and deploy production-grade ML and AI systems end-to-end, combining classical ML, deep learning, and LLM/agentic integrations. Implement MLOps, monitoring, CI/CD, model serving, vector search/RAG pipelines, and scalable APIs; mentor engineers and drive engineering best practices.

Design, build, and maintain automated test frameworks for a cloud-native AWS data ingestion platform. Create test plans, execute unit/integration/performance/security tests, validate data reconciliation and parity with legacy systems, run DR drills, verify security controls and CI/CD/IaC, document results, and support UAT and handover.

Assess current platform architecture, identify gaps, and design a scalable, secure target-state architecture and migration roadmap to enable marketplace functionality and AI integration. Recommend technology stack, API and integration patterns, cloud and containerization strategies, and lead stakeholder communication, performance tuning, and security assessments.