Top Hybrid Senior Level Jobs in Boston, MA

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.

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.

Senior Financial Analyst supporting customer-facing SaaS organizations through FP&A, budgeting, forecasting, financial modeling, variance analysis, KPI development, executive reporting, and scenario analysis. The role partners with senior leadership, improves reporting through automation and process optimization, supports strategic decision-making, and mentors financial analysts. It requires advanced Excel, experience with enterprise planning systems, and strong financial and operational analytics capabilities.

Administers and maintains Pfizer’s validated PharmSci Learning Management System, including learning activities, curricula, learner records, training documentation, reports, data integrity, risk assessments, and compliance processes. Partners with stakeholders on training implementation plans, resolves system issues, quality-checks LMS changes, supports procedures and metrics, manages priorities and budget stewardship, and identifies opportunities to streamline or automate training operations.

Leads marketing and revenue operations by owning performance metrics, dashboards, data governance, CRM updates, funnel accuracy, and business insights. Partners with Marketing, Sales, Finance, Systems, and leadership to evaluate campaigns, pipeline, and GTM performance. Builds analyses and recommendations, standardizes processes, validates data, and drives operational improvements supporting pipeline and ARR growth.

Build and evaluate experimental systems integrating connected devices, sensors, audio endpoints, software, and machine-learning models. Develop protocol adapters, inference pipelines, automated tests, diagnostics, and reproducible experimentation workflows. Measure system performance, troubleshoot across hardware and software boundaries, manage dependencies and device configurations, and collaborate with research teams to compare alternative runtime and system approaches.