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The Machine Learning Engineer II will design, develop, and maintain machine learning models, lead ML initiatives, collaborate across teams, and mentor junior members while working on Insider Risk Management solutions.

Leads Mimecast’s global HR technology, transformation, AI, and people analytics strategy. Owns the integration and architecture roadmap across Workday, Visier, and future platforms; drives automation, responsible AI governance, data quality, privacy, and analytics standards. Advises the CHRO and HR Leadership Team on investments and priorities, manages transformation milestones, and leads a small technical team while partnering with IT, Legal, Security, Finance, and business leaders.

Analyzes phishing and malicious email campaigns, identifies indicators of compromise, categorizes threats, and recommends detection updates. Provides customer guidance on email security, remediation, and Mimecast configuration. Researches emerging threats, collaborates with vendors and internal teams, improves processes, and supports continuous threat monitoring through rotating shifts, including nights, weekends, and holidays. Uses AI tools to enhance threat detection and response.

Own GTM financial planning, forecasting, budgeting, commission analysis, sales compensation modeling, territory planning, and leadership reporting. Partner with Revenue Operations, Sales, Customer Success, Accounting, and FP&A to analyze SaaS metrics, pipeline health, bookings, headcount, productivity, and retention. Maintain financial models and dashboards, validate data integrity, support month-end variance analysis, and translate performance data into actionable business insights.

Own end-to-end go-to-market programs for feature and product launches, coordinating Engineering, Product, Marketing, Sales Enablement, RevOps, Support, IT, and Legal. Build launch plans, track technical deliverables, identify risks, lead readiness reviews, maintain executive visibility, and improve launch processes using AI tools.

Identify and engage SMB prospects, build sales pipelines, conduct product demonstrations, develop customer relationships, close new business, meet revenue quotas, manage Salesforce data, and collaborate with marketing, sales engineering, and customer success teams. The role requires familiarity with technology or SaaS sales, cybersecurity or cloud solutions, and email management products.

Own and scale paid media acquisition, demand generation, cross-sell, and brand campaigns across digital channels. Manage multimillion-dollar budgets, agency partners, audience targeting, testing, reporting, and marketing technology integrations. Translate performance data into strategic recommendations for senior stakeholders while partnering with content, design, sales, and demand generation teams. Lead AI automation initiatives and optimize campaigns across Google, LinkedIn, Meta, Reddit, display, retargeting, and account-based advertising platforms.

Own monthly and quarterly close activities, including journal entries, reconciliations, reporting, variance analysis, and audit schedules. Maintain accurate accounting records, support internal controls, and apply US GAAP. Collaborate with FP&A, Treasury, Tax, HR, Payroll, and Sales Operations on financial issues and process improvements. Help standardize global accounting procedures, guide junior team members, and improve financial process automation.

Own end-to-end machine learning systems for email threat detection, from data strategy and modeling through production deployment, observability, capacity planning, and rollout. Set architecture and technical direction for model serving, retrieval, GPU workloads, and LLM-based systems. Benchmark alternatives, resolve production incidents, establish reproducible ML standards, mentor engineers, and communicate technical recommendations to product and executive leadership.

Oversee revenue accounting operations for a SaaS business, including contract and order review, revenue recognition, close activities, reconciliations, reporting, audit support, and accounts receivable issue resolution. Partner with Sales, Deal Desk, Service Delivery, and Revenue Accounting to resolve discrepancies and improve controls and processes. Manage workflows in NetSuite and Salesforce, mentor junior analysts, maintain documentation, and apply AI tools to revenue operations and accounting workflows.