Top Tech Jobs & Startup Jobs in Boston, MA

Leads company-wide marketing strategy and execution supporting business development and growth. Manages the marketing team, annual plan, budget, campaigns, trade shows, customer-facing materials, brand consistency, external agencies, and cross-functional initiatives. Develops content across brochures, presentations, videos, photography, websites, and collateral while measuring performance against business-aligned KPIs. Requires frequent collaboration with communications, business development, investor relations, and other stakeholders, with travel up to 40%.

Leads the InCommand Operations team supporting data center customers and sites. Responsibilities include managing and developing engineers, maintaining operating standards, leading customer and site implementations, building and validating facility data, using AI and automation for data workflows, supporting platform users, producing reports, coordinating with development teams, documenting defects, and testing releases. Requires data center experience, people management, project leadership, SCADA and construction-document knowledge, strong data skills, and customer communication abilities.

Manage partner brands through ServiceTitan onboarding, implementation, adoption, optimization, and long-term success. Lead project timelines and go-live execution, translate legacy workflows into scalable processes, train and coach operational teams, resolve escalations, review performance scorecards, and drive continuous improvement across multiple residential service brands.

Administer and secure Windows, Microsoft 365, cloud, identity, network, virtualization, backup, and data center infrastructure. Support tenant consolidation, acquisitions, patching, monitoring, disaster recovery, endpoint management, second-level user support, and engineering applications. Automate provisioning and reporting, maintain documentation and runbooks, support compliance enclaves, and provide backup coverage for identity and network operations. Occasional travel, maintenance windows, on-call work, and physical data center activities are required.

Develop and optimize SQL query processing for a distributed database operating across petabytes of data and hundreds of nodes. Responsibilities include parsing, validation, optimization, execution, performance analysis, debugging, code reviews, design discussions, testing, and collaboration with engineering and customer operations teams. The role also supports process improvement, knowledge sharing, and mentoring fellow engineers.

Own product marketing for Qdrant’s developer-facing AI infrastructure, including positioning across self-serve, cloud upgrades, and enterprise sales. Develop buyer scenarios, competitive programs, sales enablement, win-loss research, AI-powered workflows, and launch messaging. Partner with Product, DevRel, Growth, Sales, and Partnerships to support activation, upgrades, enterprise deals, and customer insight programs.

The Senior QA Engineer will design and execute testing strategies for reporting systems, data extracts, and business intelligence outputs. Responsibilities include writing and reviewing complex SQL, tracing data lineage across source systems and ETL pipelines, validating calculations and metrics, investigating discrepancies, documenting defects, and maintaining test documentation and version-controlled scripts. The role collaborates with data engineers, reporting teams, and business stakeholders to improve data quality and ensure accurate, reliable reporting.

Conduct independent AI research spanning large language models, reasoning, knowledge acquisition, factuality evaluation, and trustworthy AI. Translate research ideas into scalable prototypes, implement and extend state-of-the-art methods, design experiments, develop algorithms and evaluation methods, use AI-assisted development tools, and communicate findings through technical reports and research papers.

Leads a team of forward-deployed AI engineers delivering production solutions for business functions. Owns AI use-case prioritization, technical quality, governance reviews, champion-network enablement, stakeholder partnerships, and team development. Directs solutions from design through deployment, ensures testing and security standards, coordinates Legal, Privacy, Information Security, and Procurement reviews, and promotes AI adoption through training and ongoing support.

Own Neura Health’s product roadmap and build its product management function from scratch. Responsibilities include writing PRDs, establishing product processes, managing engineering velocity, evaluating build-versus-buy options, improving patient retention and provider workflows, leading AI automation initiatives, analyzing customer feedback, training support teams, and partnering cross-functionally to ship healthtech products.