Top Senior Level Jobs in Boston, MA

Leads complex financial analysis, budgeting, forecasting, workforce planning, and multi-year financial plans. Partners with senior leaders, interprets financial results, strengthens controls, and provides strategic insights. Uses AI-enabled tools, data modeling, visualization, automation, and analytical techniques to improve FP&A processes and reporting. Communicates findings to executives, supports data governance, manages risks, and mentors less experienced analysts.

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.

Leads operational due diligence workstreams for consumer markets transactions, evaluating operating models, performance, processes, risks, and value drivers. Manages project timelines, budgets, deliverables, and client relationships; analyzes financial statements, market trends, and scenarios; develops acquisition and integration insights; reviews team work; coaches junior staff; and applies digital and AI-enabled tools to improve diligence delivery.

Owns and scales post-sale revenue operations across onboarding, adoption, renewals, customer health, risk management, and retention. Designs cross-functional workflows, improves handoffs, translates business needs into systems and automation requirements, and drives process adoption. Partners with Customer Success, Account Management, Support, Finance, Analytics, Sales, and Business Systems. The role also evaluates AI-enabled tools and leads measurable improvements in renewal execution, data quality, operational efficiency, and customer-risk management.

Leads enterprise AI security and GenAI data protection, owning the AI Gateway from evaluation through deployment and operations. Designs monitoring, coaching, redaction, quarantine, and blocking controls for prompts, uploads, browser traffic, copilots, agents, and integrations. Integrates telemetry with security and identity platforms, establishes governance and exception processes, measures control effectiveness, and supports audit and regulatory readiness while enabling responsible AI adoption.

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.

Owns day-to-day People Operations across the employee lifecycle, including onboarding, benefits, compliance, employee data, payroll coordination, performance cycles, compensation administration, and offboarding. Manages HR systems, supports employees and managers, partners with Finance, Legal, Payroll, and vendors, and improves People processes through automation and technology.

Analyze how customers use Hi Marley to guide product, customer success, and company decisions. Define feature success metrics, evaluate adoption funnels, measure pilots and utilization, present customer-facing insights, and establish trusted self-service reporting. Partner with Data Engineering to translate analyses into governed data models and communicate findings clearly to executives and customers.

Leads financial modeling, incentive plan analysis, quota setting, sales commission processes, and executive reporting. Partners with Sales, Finance, and GTM leaders to evaluate compensation strategies, identify performance trends, improve commission systems, strengthen SOX controls, and resolve payout issues. Provides technical leadership for CaptivateIQ and manages cross-functional projects involving financial planning, forecasting, and business recommendations.

Build and scale post-sale customer growth programs for B2B SaaS customers. Identify expansion opportunities using product telemetry, customer insights, and behavioral signals; create personalized journeys across email, in-app experiences, webinars, and workshops; and partner with Sales, Customer Success, Product, and GTM Operations to drive adoption, consumption, qualified expansion pipeline, and revenue. Develop AI-powered workflows, run experiments, and establish repeatable customer growth processes.