Jobs at Smarsh

Serves as a senior operational and analytical partner to Global Services leadership. Leads PSA platform implementation, workflow design, process improvement, operational reporting, KPI development, and strategic initiatives. Builds dashboards and insights, supports services financial visibility, documents scalable processes, and drives stakeholder alignment and change adoption across global teams. Partners with Services, Finance, Sales Operations, RevOps, and IT to improve operational scalability and decision-making.

Own and develop complex full-stack product features using Java, React or Angular, microservices, REST APIs, databases, and AWS. Collaborate with product management and architecture teams on requirements, solution design, technology evaluation, and framework implementation. Improve existing modules, follow Agile development practices, and troubleshoot major customer issues while maintaining high-quality delivery.

Own and evolve AWS infrastructure, including EKS Kubernetes clusters, infrastructure as code, networking, IAM, service mesh, observability, and GitOps workflows. Partner with development teams to enable self-service infrastructure, improve reliability and security, optimize costs, troubleshoot production issues, and maintain architectural documentation and runbooks. Participate in on-call rotations and incident response while driving continuous infrastructure improvement.

Own Sales Operations for Corporate and Public Sector segments, including territory design, quota setting, capacity planning, forecasting, pipeline management, reporting, and business reviews. Build dashboards and analytical models, partner with Finance, Deal Desk, Marketing, Customer Success, and Enterprise Applications, and influence systems roadmaps. Identify business risks, recommend actions, and use AI and automation to improve forecasting, pipeline hygiene, and seller productivity. This individual contributor role may eventually lead a team.

Leads Sales Strategy and Operations for International and Channel segments, overseeing planning, territory and partner coverage, quotas, forecasting, pipeline management, reporting, dashboards, business reviews, and process innovation. Partners with senior sales, finance, legal, marketing, deal desk, and enterprise applications stakeholders. Manages and develops a growing operations team while improving partner productivity, forecast accuracy, CRM processes, and cross-border selling capabilities.

Owns and grows VAR partner sales across the United States, driving quota attainment, partner recruitment, pipeline development, forecasting, enablement, deal management, negotiations, and joint go-to-market execution. The role builds executive relationships, supports solution demonstrations, maintains Salesforce accuracy, and collaborates with Sales, Product, Operations, Finance, and Customer Success to deliver partner-led revenue and customer outcomes.

Owns the marketing and GTM data foundation, including Snowflake ingestion, dbt models, semantic layers, data quality, attribution, ABM measurement, forecasting, and executive dashboards. Partners with Marketing, Sales, RevOps, Customer Success, IT, and leadership to establish governed metrics, deploy AI-enabled analytics, guide planning, and translate complex analysis into growth and budget recommendations. Mentors teammates and manages the marketing analytics roadmap.

Leads global Sales and Customer Success Operations for a growing software company. Owns territories, quotas, forecasting, incentives, renewals, expansion workflows, analytics, deal desk, planning, commissions governance, and GTM tooling strategy. Builds and manages the operations organization, partners with senior stakeholders, improves processes through AI and automation, and supports scalable revenue growth across direct, channel, SMB, and strategic segments.

Builds enterprise-wide talent and leadership programs, organizational design initiatives, succession and high-potential development processes, and global leadership content. The role facilitates leadership programs, coaches senior leaders, drives change management, and partners with executives and HR teams. It also evaluates and implements AI-driven talent and people-analytics platforms, establishes responsible governance, manages vendors and budgets, and measures outcomes such as leadership capability, promotion readiness, internal mobility, retention, and engagement.

Leads revenue strategy and sales execution across the UK and EMEA, including midmarket and enterprise segments. Responsibilities include market expansion, pipeline and forecast management, quota attainment, territory and headcount planning, deal governance, executive reporting, cross-functional go-to-market alignment, and developing international sales leadership talent. The role requires navigating diverse markets, buyer behaviors, and regulatory environments while maintaining strategic customer relationships and traveling regularly across covered regions.

Owns marketing operations strategy and execution across integrated campaigns, marketing automation, ABM, lifecycle programs, lead management, analytics, and reporting. Administers platforms such as Marketo, Salesforce, and 6sense; improves workflows, governance, data quality, and campaign performance; coordinates cross-functional initiatives; and champions AI-powered automation and process innovation.

Architect, build, and maintain a hybrid cloud platform focused on AWS networking (VPCs, Transit Gateway, Route53, Direct Connect, VPNs). Implement infrastructure as code (Terraform) and GitOps, build CI/CD pipelines, automate operations, and ensure security, high availability, and multi-tenant isolation. Monitor and troubleshoot with Prometheus and DataDog, lead cloud network incident response, participate in on-call rotation, and produce runbooks and architecture diagrams.

Design, build, and operate scalable distributed data platforms, troubleshoot issues, mentor juniors, and collaborate with teams while ensuring reliable and secure infrastructure.

Lead and manage a team of ML engineers, drive AI service delivery, and oversee production model deployment while fostering a high-performance culture.