Top Senior Level Jobs in Boston, MA

Leads the architecture and evolution of DraftKings’ machine learning platform, including real-time data pipelines, lakehouse governance, distributed data systems, and scalable ML serving infrastructure. Establishes engineering standards, drives complex initiatives, oversees reliability and cloud cost optimization, and partners across engineering and data teams. The role also mentors engineers, advances automation, supports incident response, and applies AI-assisted development practices.

Lead quality engineering for Health Records by defining test strategy, automating validation across APIs, databases, pipelines, and FHIR data, and monitoring data-quality regressions. Build reusable data-mocking frameworks for internal and third-party integrations, lead technical initiatives, ensure HIPAA-compliant PHI-safe testing, improve observability and testability, and mentor engineers across teams.

Develops North American field enablement strategy for HPE Networking by creating sales plays, learning experiences, coaching, seller tools, and reinforcement programs. Translates networking technologies into customer-focused stories, use cases, discovery questions, and repeatable sales actions. Partners with sales leaders and cross-functional teams to drive adoption, behavior change, pipeline progression, and measurable business outcomes. The role also defines enablement content standards, facilitates training, and evaluates field engagement and business impact.

Own and grow a portfolio of 25–30 strategic enterprise accounts through renewals, upsells, expansions, complex negotiations, and executive-level relationship management. Partner with Customer Success, Finance, RevOps, and Legal to reduce churn risk, structure deals, forecast pipelines, and close multi-year contracts. Success is measured by retention, renewal ACV growth, product adoption, and quota attainment.

Own product design strategy, roadmap, and execution for Benchling’s small molecule chemistry solution. Partner with product managers, engineers, scientists, designers, and GTM teams to define opportunities, prototype and validate concepts, simplify complex workflows, and ship high-impact features. Contribute to platform initiatives such as homepage and navigation improvements while maintaining scalable, consistent user experiences.

Provide client-facing technical leadership for InterSystems IRIS and HealthShare environments. Advise customers on architecture, development patterns, migrations, upgrades, operational best practices, and technical debt reduction. Troubleshoot complex issues, support adoption and beta programs, contribute to training, document resolutions, and recommend product improvements. The role requires strong healthcare interoperability expertise, communication skills, problem-solving ability, and experience with InterSystems technologies and implementation processes.

Designs and maintains reusable data ingestion and transformation components, automated quality and governance checks, reliable pipelines, monitoring, deployment automation, cloud integrations, containers, and infrastructure as code. Partners with data consumers on usable models and datasets, documents standards and runbooks, supports Agile improvement, and responds to critical IT incidents. Requires 5+ years of data engineering experience, orchestration, distributed processing, storage, scripting, automation, and version control expertise.

Develop and maintain high-speed software models of Arm SoC hardware and IP. Build virtual platforms supporting Linux and Android software development, debugging, and memory transaction inspection. Collaborate with hardware and software engineers to accurately model IP, integrate software, diagnose issues, and provide feedback on SoC designs.

Manage cross-functional customer projects from scoping and quoting through go-live, including plans, budgets, timelines, requirements, risks, and deliverables. Guide regulated life sciences customers through manufacturing digital transformation, lead stakeholder meetings, provide executive updates, and coordinate internal teams and partners. Work onsite with customers approximately 25% of the time and improve Professional Services delivery through AI-assisted workflows.

Design, implement, and optimize MongoDB database integrations, Change Data Capture and streaming capabilities, and observability systems. Develop high-performance C++ services, contribute to query engine and distributed systems architecture, lead projects from design through production support, and collaborate with product and engineering teams on technical roadmaps.