Top Tech Jobs & Startup Jobs in Boston, MA

Develop PadSplit’s Boston property-owner marketplace by prospecting, conducting outreach, presenting value propositions, modeling financial benefits, nurturing relationships, negotiating and closing Host agreements, and coordinating onboarding. The role also tracks CRM metrics, monitors real estate trends and regulations, and educates owners through meetings, webinars, and presentations. Success requires sales ability, real estate knowledge, strong communication, analytical skills, independence, adaptability, and collaboration in a remote startup environment.

Lead and grow Wistia’s B2B SaaS sales organization across Account Executives and BDRs. Responsibilities include coaching performance, strengthening inbound sales, building an outbound motion from scratch, expanding mid-market revenue, improving value-based selling, partnering with Marketing and GTM leaders, analyzing funnel performance, and applying AI to prospecting and outreach.

Lead and scale Liquibase’s Customer Success organization, overseeing account executives responsible for renewals and expansion. Own retention, net revenue retention, customer health, adoption, and post-sale experience. Build repeatable processes, playbooks, dashboards, and forecasting models; manage account risk; develop customer relationships with technical executives; accelerate implementation and adoption; and provide customer insights to Sales, Product, Engineering, and Support.

Develop and operate Arista’s FedRAMP CloudVision SaaS platform at scale. Responsibilities include improving reliability, scalability, observability, autoscaling, disaster recovery, capacity planning, CI/CD, network architecture, cost optimization, and cloud application security. The role develops and manages Kubernetes-native services, distributed databases, and automation using technologies such as GCP, GKE, Go, Python, Ansible, Pulumi, and Bash. Participation in a FedRAMP on-call rotation is required.

Support AWS application migrations and modernization for scientific computing platforms. Build and manage cloud infrastructure using CloudOps, IaC, containers, and AWS services including EC2, RDS, S3, ECS/EKS, Glue, EMR, and Athena. Troubleshoot operational issues, restore services, ensure security and regulatory compliance, and transition modernized services to operations teams. The role also contributes to cloud architecture, roadmaps, documentation, and infrastructure best practices for Life Sciences customers.

Lead a global QA team to drive test automation, shift-left practices, and release readiness for .NET-based products. Own automation frameworks, integration/E2E and performance testing, ETL and AWS migration quality, PHI test data strategies, KPIs and executive reporting, hiring and coaching, and modernizing legacy QA into AI-enabled, high-performing teams.

Leads logistics and operational support in Punta Arenas for Antarctic deployments, overseeing cargo, warehousing, transportation, traveler services, contractors, facilities, budgets, compliance, and stakeholder coordination. Develops operational plans and performance metrics while ensuring safe, efficient movement of personnel, equipment, and supplies between global locations and Antarctica.

Provides front-line software support to first responders and public safety agency staff through email, phone, and chat. Troubleshoots and replicates issues, maintains SLA response times, escalates problems to engineering and project management, tests new features, updates knowledge-base content, and develops product expertise. Requires strong communication, problem-solving, organization, multitasking, and empathy while working Eastern Time hours, including possible weekends.

Manages a portfolio of approximately 150 major-gift donors and prospects, securing five- and six-figure gifts to support a $325M+ campaign and broader organizational priorities. Responsibilities include prospect identification, donor cultivation, solicitation, proposal development, gift closure, stewardship, CRM tracking, prospect research, campaign pipeline management, regional partnerships, and donor events. The role requires travel across Massachusetts and some evening and weekend availability.

Build and maintain production backend systems for a real-time learning AI engine: APIs, data pipelines, performance optimization, testing, CI/CD, and troubleshooting. Collaborate with AI researchers, prototype features, and operate LLM instances (Claude) at scale.