Top Tech Jobs & Startup Jobs in Boston, MA

Own and grow strategic relationships with major US audit firms, including the Big Four. Manage full-cycle enterprise SaaS sales, from prospecting and discovery through procurement, security, legal, and contract signing. Build account and territory plans, exceed quota, conduct product demonstrations, forecast accurately, and expand existing accounts. Partner with Customer Success, Solutions, Product, and Marketing to drive firm-wide adoption. The role is fully remote across North America with travel up to 30%.

Build and improve Videa’s People Operations foundation, including onboarding, employee information hubs, policies, documentation, self-service tools, and scalable infrastructure. Identify employee lifecycle gaps, use AI and automation to simplify People programs, and independently turn ideas into useful systems. Partner with the VP of People on experiments and initiatives while gathering employee feedback and improving the overall employee experience.

Manages and supports the organization’s telecommunications infrastructure, including cloud-hosted VoIP systems, IP phones, switches, firewalls, and related hardware and software. Installs and configures phones and network settings, maintains system security, availability, performance, and reliability, and collaborates with internal teams and vendors. Provides backup support for servers, network equipment, applications, and Windows Server environments. Travel to network sites may be required.

Conducts risk monitoring and ongoing assessments of FINRA member firms, including complex and elevated-risk firms. Analyzes regulatory intelligence, financial and external data, business models, and industry risks; develops recommendations and regulatory responses; collaborates with internal and external stakeholders; leads special projects and technology initiatives; and mentors junior staff. Requires strong knowledge of securities regulations, FINRA risk fundamentals, financial analysis, U.S. GAAP, and relevant industry risks.

Provides frontline phone, email, and ticket-based customer support; resolves account, app, scheduling, and product questions; documents interactions in HubSpot; manages inventory and supply forecasting; develops support scripts, knowledge-base content, SOPs, and training materials; supports product launches, cross-functional collaboration, product testing, and rotating evening and weekend coverage.

Provide end-to-end technical support to global quantum computing customers. Troubleshoot experimental hardware and software setups, identify root causes, develop workarounds, collaborate with R&D on lasting solutions, support hardware installations, document resolutions, and maintain customer communication. The role requires hands-on experimental physics experience, Python proficiency, Linux familiarity, networking knowledge, and global travel to customer sites.

Owns product vision, strategy, roadmap, requirements, prioritization, and lifecycle execution. Partners with directors, product owners, IT, implementation, and development teams to deliver solutions aligned with corporate goals. Conducts market and customer research, manages initiatives and release plans, influences stakeholders, and communicates product direction and user feedback within an Agile environment.

Develop, train, and deploy AI/ML systems, including deep reinforcement learning, explainability, adversarial learning, and interpretability solutions. Architect AI systems, design training datasets, implement research-based models, develop MLOps pipelines, and communicate results to technical and nontechnical audiences. Lead multidisciplinary projects, support proposals and conferences, mentor junior engineers, and collaborate across teams. The role requires strong Python development, deep learning expertise, research literacy, customer interaction, and an active or obtainable Secret clearance.

Support portfolio managers with quantitative analysis, portfolio monitoring, and risk evaluation. Build and maintain analytical tools, analyze large datasets for investment insights, assist with systematic fixed income strategies, performance attribution, and reporting in collaboration with research and technology teams.

Owns product discovery, requirements, roadmap prioritization, delivery, launches, and lifecycle management. Partners with engineering, sales, marketing, customer success, and leadership to translate customer and market needs into scalable products. Analyzes usage data, feedback, competitive trends, and business inputs to guide prioritization and measure outcomes. The role also supports AI-enabled capabilities through rapid prototyping, experimentation, and AI tools.