Top Tech Jobs & Startup Jobs in Boston, MA

Own and exceed quota for Salesforce Sales Performance Management products across Federal, State and Local Government, and Higher Education customers. Build sales strategy, manage complex enterprise sales cycles, lead executive discovery, coordinate with account teams and partners, navigate public-sector procurement and compliance, maintain pipeline forecasts, and expand pilot deployments into enterprise rollouts.

Lead hands-on consulting engagements with owner-led businesses to improve operations, financial controls, organizational effectiveness, and profitability. Serve as the client’s on-site strategic partner, implementing solutions, coaching owners and employees, managing change, and driving measurable improvements across income statements, balance sheets, cash flow, and quality of life. This role requires full domestic travel, strong leadership, communication, problem-solving, and financial management skills.

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.

Leads the operational side of a growing engineering organization across software and hardware. Owns engineering roadmaps, quarterly priorities, hiring, organizational structure, performance management, leadership development, processes, and cross-functional execution. Partners with the CTO on technical direction and supports the use of AI throughout engineering. The role oversees approximately 35 engineers initially, with responsibility for scaling the organization substantially.

The Sales Manager at ATIA Ltd will strategize sales and marketing for various information systems, discover new customers, and engage with management.

Drive complex technical and commercial programs from planning through delivery. Coordinate scientific operations, AI/ML, software, perception, hardware, data, business, customers, and partners. Define milestones, budgets, dependencies, risks, documentation, requirements, and success metrics; resolve ambiguity and maintain execution alignment. Improve workflows and build reusable program-management systems while supporting deployments, technical decisions, and urgent operational needs. The role is in-person in Cambridge, Massachusetts, with travel to customer and partner sites as needed.

Manages inland and final-mile customer accounts, strengthening relationships, improving service performance, resolving escalations, and identifying profitable growth opportunities. Coordinates with operations, procurement, pricing, systems, and sales teams to deliver reliable transportation solutions. Responsibilities include monitoring shipment performance, leading business reviews, developing SOPs, analyzing root causes, managing customer documentation, supporting billing resolution, and maintaining account retention, revenue, margin, and service-quality objectives.

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.

Leads procurement and strategic sourcing activities, including purchase order creation, supplier negotiations, quotation and cost analysis, supplier performance management, risk mitigation, inventory optimization, cost reduction, compliance, and procurement records. Collaborates with operations, engineering, quality, finance, planning, and logistics teams while independently managing sourcing projects and continuous improvement initiatives. Occasional supplier or company-location travel may be required.

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.