Top Tech Jobs & Startup Jobs

Lead a team of three Account Managers while owning customer lifecycle management, strategic relationships, onboarding, health monitoring, escalations, retention, and expansion. Coach team members, maintain HubSpot data quality, identify churn risks, partner with Growth, Product, and Professional Services, and develop expertise in homelessness-response technology and services.

Own the Linux user-mode runtime, driver, and HAL interfaces for a Fabric accelerator. Responsibilities include runtime library design, compiler and kernel-driver integration, memory and resource management, ML framework backends, pre-silicon bring-up using simulation, emulation, QEMU, and FPGAs, and comprehensive runtime testing. Collaborate across compiler, architecture, verification, and kernel teams to support first-silicon deployment.

Greets visitors, answers and routes incoming telephone calls, directs customers to appropriate departments, coordinates questions with personnel, and provides administrative support. The role requires strong communication, organization, telephone, computer, and customer service skills, along with a professional demeanor. Candidates should have a high school diploma or GED, fluent English skills, and availability to work evenings and Saturdays.

Leads a team of powertrain designers and engineers supporting engine design projects. Responsibilities include resource planning, design quality improvement, staff development, technical mentoring, 3D CAD design oversight, engineering calculations, GD&T, tolerance analysis, formal problem solving, and cross-functional collaboration. The manager presents to varied audiences and ensures delivery of high design standards across powertrain programs.

Leads client account teams, manages strategic relationships, and directs implementation of sales and marketing support activities through the TRIPTYCH platform. Responsibilities include growing revenue, driving customer adoption, managing campaigns and resources, coordinating client reviews, identifying cross-sell opportunities, and ensuring client satisfaction. The role requires consultative enterprise sales expertise, strong communication, strategic planning, and the ability to manage complex stakeholder relationships and long sales cycles.

Monitors, maintains, and troubleshoots server, endpoint, application, and network infrastructure to maximize uptime. Responsibilities include patching, upgrades, backups, performance tuning, vulnerability remediation, disaster recovery testing, documentation, licensing, audits, and Tier 2 support. The role also assists with budgeting, infrastructure purchases, and provides on-call support during evenings, weekends, and holidays.

Own Sydra Health’s technology strategy, architecture, engineering delivery, security, compliance, cloud infrastructure, and technical roadmap. Lead and mentor a small engineering team while building AI and LLM-powered claims and workflow automation. Drive integrations with clearinghouses, payers, EHRs, and practice management systems. Partner with revenue cycle experts, support customer demonstrations and technical diligence, and ensure reliable, secure, scalable B2B SaaS product delivery.

Provides help desk and technical support for hardware, software, printers, network connectivity, Microsoft 365, endpoints, cloud platforms, and audio-video systems. Supports employee onboarding and offboarding, cybersecurity controls and training, system documentation, online giving platforms, and campaign materials. Troubleshoots and documents issues, assists staff and volunteers, and maintains technology infrastructure in a nonprofit office environment.

Provides administrative, coordination, reporting, and operational support to five Development Vice Presidents. Manages calendars, meetings, presentations, dashboards, CRM data, fundraising and volunteer engagement tracking, expenses, invoices, contracts, and follow-up activities. Supports Trustees, Strategic Council members, Executive Assistants, and the foundation phone line while improving administrative workflows and maintaining confidentiality.

Lead product-focused data science and machine learning initiatives, including exploratory analysis, production model development, evaluation frameworks, generative AI, graph-based machine learning, recommendation systems, and personalization. Collaborate with engineering, product, and business teams to deliver high-impact solutions, influence strategy, and communicate insights to technical and non-technical stakeholders. The hybrid role requires four days per week in the Greater Boston area.