Jobs at Mimecast

Lead UK & Ireland revenue growth for Mimecast, owning ARR and net new ARR targets. Directly manage 60 sellers and influence another 60 cross-functionally, build partner relationships, scale the sales organisation, enforce forecasting and pipeline discipline, and drive go-to-market strategy and operational excellence across channel, customer success and sales engineering.

Analyze phishing and malicious email campaigns to identify IOCs, categorize threats, remediate incidents, recommend detection updates and configuration changes in Mimecast, research emerging threats, collaborate with research/dev and vendors, and improve processes to reduce dwell time for customers.

Build reusable tooling, prototypes, and paved-road patterns to enable AI-native and agentic engineering across R&D. Drive platform, security-aligned architecture, observability, and developer enablement while collaborating with architects and teams to remove friction and demonstrate production-viable AI patterns.

Sell enterprise SaaS security/email solutions into the ANZ market by prospecting new business, managing executive-level relationships, partnering with channel partners, executing sales plans, meeting KPIs/OTE targets, maintaining CRM and reporting, and collaborating across functions to drive regional revenue growth.

Sell cybersecurity SaaS to mid-market companies: prospect and acquire new logos, manage pipeline, hit quotas, collaborate with channel partners, provide market insights, and support sales enablement. Travel ~25–30% for regional meetings and events.

Lead and manage a team of cloud network engineers, driving technical roadmaps, engineering delivery, and fostering automation and operational excellence in a large-scale hybrid-cloud environment.

Provide day-to-day functional support for Salesforce and connected enterprise systems (NetSuite, Boomi, CPQ, Partner Portal). Triage and resolve tickets, troubleshoot integrations, manage access and reporting requests, maintain documentation, coordinate with technical teams, support rollouts and UAT, and identify process improvements to improve operational efficiency and SLA compliance.

Customer-facing Sales Engineer responsible for owning the technical sales path for SMB/midmarket accounts: discovery, demos, proof-of-value, deal strategy, partner enablement, RFP responses, technical handovers, and SFDC tracking. Support channel partners and contribute to field marketing.

Own and administer Gong and LinkedIn Sales Navigator, lead a small team ensuring GTM data quality and governance, drive AI adoption across the GTM tech stack, optimize platform workflows and integrations with CRM, manage vendors, and partner cross-functionally with Sales, Marketing, Customer Success, and Revenue Operations to improve forecasting, pipeline visibility, and rep productivity.

Manage 1-3 national strategic channel partners to drive partner-generated pipeline, ARR, renewals, and long-term retention. Build and execute partner business plans, enablement, recruitment, forecasting, and executive engagement while aligning with Sales and Marketing.

Lead global GTM onboarding for Sales and pre-sales: design curriculum, run delivery, measure ramp and quota attainment, manage one direct report, oversee Seismic and LMS content, and partner cross-functionally to continuously improve onboarding outcomes.

As a Senior ML Ops Engineer, you lead deployment and operational management of ML models, ensuring platform resilience, automation of CI/CD processes, and observability while collaborating with various engineering teams.

As a Cloud Operations Engineer, you'll configure and maintain the infrastructure, manage Kubernetes, automate processes, troubleshoot issues, enhance security, and support engineering teams, ensuring reliability in a hybrid-cloud environment.

As a Site Reliability Engineer, you will design and support AWS infrastructure, build CI/CD pipelines, debug systems, and promote self-service for product teams. Collaborate with teams for continuous deployment and automation in a cloud environment, leveraging AI tools for efficiency.

Lead analysis and requirements for Salesforce-centric GTM initiatives across quote-to-cash, billing, renewals, and data migration. Translate product and pricing decisions into Salesforce configuration, conduct gap analysis and BPMN process design, own UAT and go-live coordination, create enablement documentation, and support QA and L1 teams. Collaborate with Sales, Finance, Legal, RevOps, and Engineering to deliver launch-ready GTM systems.

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.

The Senior Sales Engineer provides technical sales support, delivers product demonstrations, assists with RFPs, and collaborates with various teams to ensure successful pre-sales engagements.

Conduct high-volume outreach (calls, email, social), qualify marketing-generated leads, research target accounts, engage prospects for needs analysis, book meetings for Account Executives, maintain CRM pipeline, collaborate with partners and internal teams, and stay current on product and industry trends to drive pipeline growth.

Provide production support for Salesforce and connected enterprise systems (NetSuite, Boomi, CPQ, Partner Portal). Triage and resolve tickets, troubleshoot integrations and data issues, manage access/permissions, maintain documentation, coordinate with admins and technical teams, support rollouts and process improvements, and deliver SLA-based incident management and reporting.

Own technical sales conversations from discovery through proof-of-value and close. Deliver demos and presentations, support partners, manage PoV engagements, respond to RFPs/RFIs, and hand over to delivery and customer success while contributing to field marketing.