Top Tech Jobs & Startup Jobs in Boston, MA

Design and scale high-traffic services, resolve production incidents, deploy features (using feature flags), plan team projects, and improve service performance and architecture at large scale.

As Product Manager II for AI & Data Security, you'll own the roadmap for AI capabilities, manage security posture, collaborate with engineers and researchers, and engage customers to enhance AI systems security.

Design, build, and operate multi-region, multi-cloud network infrastructure across AWS, GCP, and Azure. Own cloud-to-cloud and customer connectivity, troubleshoot latency/packet-loss via pcap and path analysis, set technical direction for network expansion, improve cross-region connectivity, and identify network cost and efficiency improvements while participating in incident response and on-call rotation.

Build and maintain Bazel-based build, test, and packaging tools for a large monorepo. Improve CI performance and cost efficiency, run complex migrations, keep pipelines reliable, and contribute upstream to the Bazel ecosystem. Own projects end-to-end and collaborate with developers to improve tool usability and developer productivity.

Partner with People, Recruiting, and business leaders to design and execute compensation strategy for technical and G&A teams. Advise on offers, maintain job catalog, analyze market and equity trends, support modeling/reporting, and recommend improvements to ensure competitive, scalable total rewards.

Lead the Technical Solutions Operations PMO to build scalable operating models, run cross-functional programs end-to-end, deploy AI-enabled workflows, measure business outcomes, represent TSO to executive stakeholders, and develop a high-performing team of senior Technical Program Managers.

The Key Accounts Executive will target strategic Fortune 100 accounts, develop sales strategies, cross-sell, and drive sales growth while collaborating with various teams for success.

The Strategic Account Executive will prospect SLED organizations, maintain relationships, negotiate contracts, meet sales goals, and expand market presence. Role includes significant travel requirements.

Lead design and implementation of LLM observability features: prototype and scale product capabilities for tracing, evaluating, and debugging generative AI systems. Work cross-functionally to influence architecture, mentor engineers, prioritize customer pain points, and drive product and engineering decisions for reliable, high-performance AI observability.

Serve as a hands-on technical advisor to enterprise customers, driving Datadog product adoption, analyzing IT operations, providing configuration and process recommendations, leading business reviews, collaborating with product and engineering, and ensuring customer success and renewals.