Top Tech Jobs & Startup Jobs in Boston, MA

Develop and enhance software applications as part of a remote Scrum engineering team. Responsibilities include building features, improving existing applications, participating in code reviews, attending technical refinement meetings, and supporting complex problem-solving. The role also involves integrating third-party APIs and occasionally handling customer support escalations requiring communication with customers and vendors.

Legal Assistant supporting a litigation defense firm with insurance defense matters, including auto, trucking, transportation, commercial litigation, premises liability, and bodily injury cases. Responsibilities require strong organization, multitasking, communication, knowledge of Microsoft Office Suite and state and federal court rules. Prior trial experience is preferred.

Develop predictive, prescriptive, forecasting, valuation, and portfolio-performance models supporting collections, acquisitions, and business strategy. Build production data pipelines, transformations, analytical workflows, data models, quality checks, and monitoring frameworks using SQL, Python, and/or R. Perform exploratory analysis, create dashboards and reports, translate business needs into technical solutions, and collaborate with analytics, engineering, and business stakeholders.

Own strategic enterprise security engagements as the CTO Office representative, solving complex deployment and customer issues, influencing the product roadmap, building technical infrastructure and tooling, and producing technical content. The role requires deep security operations expertise, cloud architecture knowledge, hands-on coding, AI-assisted development, enterprise customer engagement experience, and frequent travel between US customers, industry events, and Tel Aviv.

Leads Americas sales operations across product availability, inventory, logistics, customer onboarding, CRM administration, revenue reporting, forecasting, and business cadence. Partners with Sales, Finance, Operations, Legal, Marketing, and global teams to improve order-to-cash processes, data quality, customer handoffs, and scalable sales systems. The role also manages logistics providers, customs coordination, international fulfillment, and customer delivery communication.

Build and operate reliable, scalable, secure cloud services for authentication systems. Develop Go and Python applications across AWS and GCP, using services such as Kinesis, DynamoDB, and S3. Own projects from design through production, participate in code and design reviews, troubleshoot operational issues, improve observability and deployments, and contribute to microservices, infrastructure, security, and engineering best practices. Participate in an on-call rotation and collaborate with engineering, research, testing, and product teams.

Leads strategy, roadmap, prioritization, technical scope, launch planning, and performance optimization for an AI-native mobile communication application. Partners with engineering, design, and business stakeholders on architecture, scalability, reliability, user experience, and measurable product outcomes. Requires deep technical fluency and experience launching and scaling complex technology products.

Manage post-sales relationships with enterprise customers, providing technical and functional support, resolving business and technical issues, presenting products, identifying expansion opportunities, and conveying customer needs to internal teams. The role requires expertise in enterprise security and compliance solutions, strong communication and presentation skills, customer engagement from executives to technical staff, and travel throughout the assigned sales territory.

Own the strategy, roadmap, and execution for CrossFit’s Education products, including learner experiences, course registration, content delivery, learning platforms, and credentialing. Partner with Engineering, Design, Marketing, Operations, and Education leadership to prioritize investments, navigate legacy systems, improve measurement, run growth experiments, and deliver measurable learner and business outcomes.

Lead computational platform development for biological design, optimization, and functional prediction. Collaborate with wet-lab scientists to validate predictions, oversee data infrastructure and computational workflows, and contribute to technology roadmaps, funding proposals, and partnerships. The role requires developing machine learning methods for biological sequence and structure analysis, translating biological problems into computational solutions, and leading technical teams across computational and experimental disciplines.