Top Tech Jobs & Startup Jobs in Boston, MA

Own post-go-live relationships for mid-market and enterprise B2B SaaS customers. Drive adoption, configuration refinements, customer health, QBRs, renewals, retention, and expansion. Partner with Sales, Solutions Architecture, Implementation, Product, and Engineering while serving as a strategic advisor to revenue leaders. Build scalable Customer Success playbooks, health scoring, ROI models, and renewal processes as an early team member.

Lead integrated, full-funnel marketing campaigns across content, digital, social, events, webinars, nurture, and partner channels. Collaborate with product marketing, sales, creative, analytics, and BDR teams to align messaging, generate leads, improve conversion, and drive pipeline and revenue. Manage campaign strategy and execution, measure KPIs, conduct A/B testing, optimize the funnel, and translate performance insights into actionable strategies.

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Conduct applied research on scalable optimization and resource-allocation algorithms for large communication networks. Apply machine learning, reinforcement learning, integer optimization, graph-based methods, and metaheuristics to improve solution quality and efficiency. Collaborate with software engineers to integrate algorithms into production aerospace networking systems, evaluate performance at realistic scale, publish research, support patent applications, and document novel methods.

Design and develop backend distributed systems for 5G non-terrestrial networks, Direct-to-Cell services, satellite orchestration, and terrestrial network coordination. Build scalable cloud-native software using C++, Golang, Java, gRPC, Protocol Buffers, and Kubernetes. Translate 3GPP and O-RAN specifications into reliable software, integrate platform components, document implementations, troubleshoot issues, and collaborate with telecom solution architects.

Leads Trace3’s AI strategy for a priority industry vertical and assigned anchor accounts. Develops vertical AI narratives, executive relationships, roadmaps, business cases, governance models, solution architectures, accelerators, and reference architectures. Shapes and advances AI pursuits, guides use-case discovery and proofs of concept, ensures delivery fidelity, manages escalations, and measures business value. The role combines enterprise AI consulting, account leadership, executive engagement, opportunity development, and transformation leadership across areas such as financial services, healthcare, government, manufacturing, or retail.

Leads and scales Trace3’s Infrastructure and Operations practice, including go-to-market strategy, solution portfolio development, partner management, presales consulting, client engagements, and delivery alignment. Owns revenue, gross profit, forecasting, and practice performance. Develops solutions across networking, cloud, observability, automation, AIOps, managed services, resilience, and platform modernization while mentoring leaders and advising executive leadership.

Serve as the primary general ledger accountant for acquired companies undergoing transition. Clean up accounts, reconcile balance sheets, implement accruals and reclasses, map charts of accounts, support ERP migrations, improve AP and inventory processes, and maintain audit-ready records. Train onsite staff, document procedures, automate manual workflows, support reporting and due diligence, and hand off stabilized accounting operations to ongoing finance teams.

Build and maintain Rocket Money’s Autopilot banking and investment systems. Responsibilities include developing React interfaces and Node.js/GraphQL backends, making architecture decisions, collaborating with stakeholders, managing vendor integrations, improving observability and performance, and owning the technology lifecycle from planning through production maintenance.

Develop and scale cloud-based media encoding pipelines supporting workflow orchestration, metadata publishing, task prioritization, and catalog management. Design distributed systems, write high-quality Java code, build automated tests, collaborate cross-functionally, and own projects from conception through production. The role supports streaming, advertising, broadcast television, video podcasts, and other media experiences.

Owns analytics datasets and data products for Netflix’s cloud games infrastructure. Builds scalable pipelines, data models, metrics, dashboards, tooling, and self-service assets from massive telemetry data. Partners with infrastructure engineering, data engineering, and data science teams to improve quality of experience, capacity, and utilization insights. Responsibilities include telemetry and logging, visualization, trustworthy documentation, scalable data solutions, and independently prioritizing high-impact investments.

Own the strategy, roadmap, and lifecycle of Netflix’s internal employee support and knowledge products. Lead discovery, prioritization, delivery, adoption, and continuous improvement across Slack, Zendesk, Jira, integrations, and the Netflix Knowledge Platform. Partner with engineering, design, data, support, and business teams to improve self-service, agent productivity, knowledge management, workflow automation, and AI-powered employee experiences. Use customer research, metrics, and data foundations to identify opportunities and measure business impact.

Investigate offline and direct mail channel performance, attribution, vendor data, and measurement methodologies. Build response, lift, allocation, and regression models; manage direct mail testing data pulls and mail merges; create KPI dashboards; and communicate actionable recommendations to marketing stakeholders. The role requires proactively identifying opportunities, validating data and vendor claims, and translating complex analytical findings into business decisions.

Own the end-to-end product experience for DeepScribe’s AI-powered clinical workflow platform. Research oncology provider workflows, define design direction across native iOS and web products, evolve the design system, and create AI-first interactions involving ambient intelligence, voice, chat, and automation. Collaborate with clinicians, product, engineering, AI, and clinical teams to prototype, ship, iterate, and represent the company externally.

Design and lead scalable data engineering solutions across Databricks and Microsoft Azure. Define enterprise data modeling standards, architect pipelines and integrations, establish engineering best practices, troubleshoot complex platform issues, and guide modernization and cloud migration initiatives. Provide technical leadership and mentorship while ensuring data platforms meet security, quality, governance, reliability, performance, and maintainability standards.

Design, develop, and maintain scalable data pipelines and models in Databricks and Microsoft Azure. Perform data ingestion, transformation, integration, migration, and modernization across enterprise data sources. Monitor and optimize pipeline performance, reliability, and data quality. Translate business requirements into technical solutions, collaborate with architects and engineers, follow security and governance standards, participate in code reviews, and document data platforms and processes.

Design, build, and deploy production-grade AI applications, agents, retrieval systems, integrations, and workflows for enterprise customers. Lead technical discovery, architecture workshops, prototyping, troubleshooting, deployments, and go-live support. Translate customer needs into scalable solutions and reusable engineering patterns, while providing product feedback that informs roadmaps. Partner with Product, Sales Engineering, Customer Success, and Engineering teams, and mentor customer-facing engineers. Travel to customer sites as needed.