Top Tech Jobs & Startup Jobs in Boston, MA

Leads enterprise identity and authentication implementations, including SSO, federation, passwordless authentication, identity proofing, and integrations with enterprise infrastructure. Designs architectures, migration plans, and deployment runbooks; develops automation using Python, PowerShell, and JavaScript; troubleshoots authentication and federation issues; and serves as a technical advisor for customer IAM initiatives. Collaborates with product, engineering, support, and customer success teams while managing complex production deployments.

Own and grow a portfolio of high-value enterprise accounts across the Americas. Develop account plans, build executive relationships, manage complex software sales cycles, identify expansion opportunities, lead presentations and negotiations, and collaborate with internal teams to deliver customer outcomes. The role also mentors colleagues, analyzes account performance and market trends, and requires 30–50% travel focused on U.S. customers.

Leads network engineering and digital technology strategy, major project and program portfolios, cybersecurity incident response, budgeting, quality processes, and technology operations. Develops digital capabilities, improves products and services, manages organizational performance, and builds talent through coaching and workforce development. Partners across the organization to execute strategic roadmaps, maintain legacy systems, improve customer-focused solutions, and deliver secure, scalable technology outcomes.

Cultivate and expand B2B relationships with large enterprise accounts across an assigned territory. Prospect daily, build and manage sales pipelines, develop new business, grow existing accounts, and consistently exceed sales goals. Serve as the primary customer contact, resolve issues, coordinate with sales engineering and business development teams, and deliver enterprise network solutions. Frequent travel, strong communication, presentation, and relationship-building skills are required.

Designs and leads industrial automation control systems for material handling solutions. Responsibilities include concept development, specifications, PLC programming, control panel schematics, prototyping, testing, manufacturing transition, field troubleshooting, and project leadership. Requires expertise in industrial automation, Allen-Bradley controls, HMI/SCADA, electrical CAD, machine safety codes, and risk assessments. The role involves up to 60% domestic travel across North America and mentoring junior engineers.

Build production agentic AI systems that reason across imagery, point clouds, BIM models, drawings, specifications, and sensor data. Responsibilities include designing multi-step agents, retrieval and grounding systems, tool interfaces, evaluations, model selection, traceable outputs, and production deployment. The role requires multimodal ML expertise, strong Python engineering, spatial-data fluency, and experience taking LLM or VLM systems into production.

Leads ERP strategy, governance, operations, optimization, and support for higher education customers. Manages ERP analysts and technical teams, oversees implementations, upgrades, integrations, testing, releases, security, and system performance. Partners with executives and business stakeholders on process improvement, automation, organizational change, user adoption, and technology roadmaps. Also manages vendors, budgets, resources, and cross-functional initiatives while ensuring enterprise applications align with business objectives.

Own the post-sale experience for strategic enterprise customers, driving adoption, retention, expansion, and customer health. Build and lead the Customer Success function by hiring Customer Success Managers, developing playbooks, establishing operating models, forecasting renewals, and implementing tooling. Serve as an executive sponsor for key accounts, partner with Sales, Product, Engineering, and Deployment, translate customer feedback into product input, and report performance and strategy to executives and the board.

Leads the design, delivery, and optimization of data architecture, pipelines, semantic layers, data quality frameworks, and Tableau BI platforms. Partners with stakeholders to manage requirements, project plans, sprint execution, monitoring, governance, and release delivery. Guides data engineers, manages team members, and supports AI-enabled analytics capabilities. Requires strong SQL, Spark, PySpark, SSIS, cloud data platform, CI/CD, Tableau infrastructure, and data engineering expertise.

Owns product development for AI-powered audit evidence review software. Responsibilities include gathering requirements, defining and prioritizing features, coordinating Design and Engineering, managing roadmaps and releases, measuring AI quality and business impact, and using product analytics to guide decisions. The role requires shipping LLM-powered features, establishing evaluation frameworks, balancing automation with human review, and delivering measurable customer and business outcomes.