Top Senior Level Jobs

The Sr. Product Manager oversees digital product development, collaborates on the product roadmap, manages initiatives, and ensures alignment with organizational goals through data and metrics.

Lead strategy, roadmap, and delivery for customer-facing marketplace and digital commerce products. Drive discovery through customer research and analytics, define requirements and success metrics, lead Agile development from concept to launch, and partner with cross-functional teams to increase engagement, adoption, and long-term value.

The Digital Media Sales Lead develops revenue-generating strategies for digital buys and partnerships, managing client relationships and campaign execution while achieving sales goals.

Lead the Cloud Platform engineering team responsible for scaling and operating nRF Cloud, an IoT platform supporting millions of devices. Own reliability, performance, infrastructure, databases, security, observability, and the technical roadmap. Manage team productivity, culture, hiring, and cross-functional alignment while remaining hands-on through architecture, code reviews, and production debugging. Drive platform excellence, sustainable on-call practices, and pragmatic technical investment.

Lead backend engineer responsible for system-level design, implementation, and ownership of low-latency, high-reliability trading and market-data backend systems. Translate business needs into technical designs, write production-ready code, design schemas and integrations, lead reviews, reduce technical debt, and support production while establishing engineering standards and observability.

Field-based Account Executive responsible for hunting and closing institutional B2B nursing education sales within New England. Generate pipeline via cold outreach, demos, events, and webinars (60–70%); manage onboarding, retention, and upsell activities (30–40%). Meet quotas, maintain CRM data, collaborate cross-functionally, and travel extensively to secure bulk institutional contracts.

Administer and optimize P21/SQL databases, design logical and physical data models, manage SSRS reports and SSIS packages, ensure security, backups, and recovery, tune performance, collaborate with cross-functional teams and vendors, and document database procedures and policies.

Lead a full‑stack engineering team to build scalable frontend and backend systems, make architectural decisions, prioritize the product roadmap with stakeholders, build data pipelines for ML, support deployments and DevOps, and manage external engineers to deliver product objectives.

The Senior Data Analyst will analyze sales and marketing funnel performance, customer acquisition, conversion, segmentation, forecasting, experimentation, and market expansion. They will integrate multiple data sources, identify data quality and attribution issues, create scalable datasets and dashboards, monitor performance, and deliver executive-ready recommendations. The role partners cross-functionally with Sales, Marketing, Product, Finance, Data Science, and Data Engineering.

Establishes and owns Bloom’s production support and incident response function. Responsibilities include implementing monitoring, supporting major incidents, coordinating responders and vendors, overseeing root cause analysis, tracking preventive actions, automating repetitive support tasks with Python or Bash, maintaining documentation, and measuring incident response effectiveness. The role also supports client-facing Operations teams with onboarding, offboarding, sandbox resets, and other technical support needs while partnering with product and engineering teams to reduce support overhead.