Top Tech Jobs & Startup Jobs in Boston, MA

Build scalable web applications, APIs, data pipelines, and data integrations for a cybersecurity platform. Responsibilities include architecting software for high-volume data environments, designing algorithms and data structures, optimizing storage and performance, maintaining coding standards, supporting analytics data systems, and collaborating across technical and non-technical teams throughout the product lifecycle.

Full-cycle enterprise sales role: generate pipeline, qualify leads, demo product, navigate budget/legal/security/procurement, negotiate and close contracts, collaborate with product/marketing, and manage post-sale customer relationships for B2B SaaS ecommerce clients.

Build and scale a fintech risk and compliance platform as the second engineer. Responsibilities include developing full-stack features, owning product areas end to end, improving reliability and performance, collaborating with customers, participating in architecture and code reviews, and establishing engineering best practices. The role requires independent feature delivery, strong full-stack fundamentals, production experience, sound technical judgment, clear asynchronous communication, and willingness to learn compliance and AI domains.

Leads QA automation initiatives by developing and maintaining automated functional, regression, API, and integration test suites for Guidewire software and mobile applications. Improves CI/CD pipelines, performs root cause analysis, drives quality improvements, collaborates with developers and product owners, and mentors junior QA engineers.

Design, build, and maintain production-grade AI-powered go-to-market automations (prospecting, lead scoring, campaign orchestration, attribution). Integrate ML/LLM tools into marketing and sales workflows, track business-critical metrics, ensure reliability and scalability, and collaborate with GTM strategists and non-technical stakeholders to drive measurable pipeline and revenue outcomes.

Own end-to-end product design for MEDvidi’s AI Track, designing provider-facing clinical tools and patient systems. Develop human-AI interaction patterns, gather requirements independently, validate designs, collaborate with product and engineering, conduct design acceptance, and analyze post-release outcomes. Build functional prototypes in the existing codebase using AI tools, and contribute reusable Storybook components, tokens, and documentation to the design system. The role requires hands-on work in complex interfaces and regulated healthcare environments.

Own global apparel procurement strategy, supplier negotiations, RFPs, clean-sheet costing, buy-plan approvals, and cost-reduction initiatives. Partner with sourcing, materials, merchandising, production, and technology teams to improve margins, ensure supply continuity, optimize upstream material procurement, and develop AI-enabled procurement processes. The role also drives supply-chain value creation through verticalization, volume consolidation, commodity strategies, and transparent pricing across international manufacturing partners.

Leads Salesforce Revenue Cloud and CPQ implementation projects from discovery through deployment. Responsibilities include gathering requirements, designing revenue lifecycle solutions, mapping processes and data, managing scope, prioritizing backlogs, coordinating technical teams, facilitating demonstrations, performing QA, supporting client adoption, and mentoring business analysts. The role requires deep Quote-to-Cash and Salesforce implementation experience, strong business analysis and communication skills, and occasional travel.

Design and maintain Tuniform’s web and mobile design system, including colors, components, typography, and UI screens for onboarding, feed, wallet, and ads. Conduct UX testing across navigation and conversion flows, collaborate with frontend developers on pixel-perfect implementation, and ensure accessible, responsive, and performant experiences aligned with Gen-Z social app aesthetics.

MBA Summer Associates join consulting teams for 8–12 weeks, contributing to real client projects and developing hands-on strategy consulting experience. Responsibilities include strategic analysis, creative problem-solving, teamwork, and applying AI-based solutions and data competencies to complex business challenges. Strong performers may receive full-time offers.