Top Senior Level Jobs in Boston, MA

Lead design, training, fine-tuning, evaluation, and deployment of vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, and evaluation frameworks. Optimize models for embedded hardware (ONNX, TensorRT), collaborate cross-functionally, translate research to production, and mentor engineers.

Lead strategy and execution of data apps for the Sportsbook Trading domain. Define roadmaps, translate business needs into technical requirements, manage cross-functional delivery, champion AI-driven automation, monitor production, and mentor junior TPMs to improve processes and outcomes.

The Senior Software Engineer will design and develop core modules for an AI-enabled platform, collaborating across teams and mentoring others in a fast-paced environment.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

As a Customer Success Manager, you'll strengthen customer relationships, drive product usage, and identify growth opportunities while collaborating with internal teams at Datadog.

The Systems Engineer will provide leadership in designing, integrating, and testing complex aircraft mission systems. Responsibilities include managing requirements, conducting trade studies, and evaluating design alternatives for mission capabilities.

The Senior Alliance Manager will cultivate partnerships with life sciences companies, ensuring value and satisfaction through collaboration and execution of agreements. Responsibilities include developing relationships, leading meetings, tracking milestones, and managing operations for clients.

Partners with Sales to lead technical discovery, solution design, demonstrations, proof-of-value and proof-of-concept engagements for enterprise cybersecurity, identity, access, asset visibility, exposure management, and risk solutions. Advises technical and executive stakeholders, translates capabilities into business outcomes, supports evaluations and deal progression, develops technical documentation, leads training, and collaborates cross-functionally. Travel is typically 25–50%.

Own the full lifecycle of customer enablement content, including auditing, taxonomy, governance, instructional design, Help Center maintenance, release enablement, and performance measurement. Create reusable guides, walkthroughs, videos, and in-workflow learning materials grounded in adult learning principles. Partner cross-functionally with Product, Product Marketing, Operations, and Customer Success while using AI and content platforms to improve quality, consistency, discoverability, and efficiency.

Lead technical direction and deliver large-scale ML platform infrastructure including feature store, model serving, experimentation, and training pipelines. Drive architecture, mentor engineers, coordinate cross-team initiatives, resolve system-wide issues (latency, reliability, GPU utilization), and define safe ML deployment paths from registration through rollout, monitoring, and rollback.