Jobs at Smarsh

Drives new business revenue across federal civilian agencies by identifying opportunities, building partner and contracting-vehicle channels, developing proposals, managing capture strategies, and closing sales. The role owns opportunities from identification through award, develops agency and industry relationships, builds sales pipelines, executes strategic sales plans, and meets revenue targets while coordinating with executives, proposal teams, and program stakeholders.

Prospect and acquire public-sector SLED customers through high-volume outreach, lead generation, full-cycle sales, RFP/RFI responses, negotiation, and closing. Maintain accurate Salesforce forecasts, opportunity records, account coverage, and sales activity. Meet quarterly bookings goals, provide regulatory updates, build customer and colleague relationships, and continuously develop product and sales expertise.

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.

Design and lead scalable, secure, highly available database infrastructure for multi-terabyte SQL Server environments. Set technical direction for data architecture, performance, real-time pipelines, security, and growth. Troubleshoot complex production issues, optimize queries and indexes, guide cross-functional projects, mentor engineers, review changes, reduce technical debt, and evaluate emerging technologies. Monitor database health using Splunk, Datadog, and Grafana while influencing engineering and Site Reliability strategy.

Manage mid-market customer accounts, driving adoption, retention, renewals, contract changes, billing resolution, and expansion opportunities. Build executive relationships, conduct business reviews, manage at-risk cases, resolve escalations, and coordinate internal teams. Prepare quotes, secure purchase orders, track customer activity in Salesforce, and deliver training or recommend professional services. Maintain customer satisfaction, loyalty, and advocacy while meeting activity and service-level targets.

Lead architecture and hands-on development of cloud-native, microservices-based systems and company-wide integrations (AWS and MuleSoft) using Python. Own provisioning, billing, telemetry, and integration landscapes; define AI-SDLC and AI tooling; implement infrastructure-as-code and CI/CD; ensure observability, testing, security, and operational readiness; translate architecture into Jira work and mentor engineering teams.

Senior individual-contributor product manager owning agentic and platform capabilities: define API/MCP/headless surfaces, non-functional requirements (scale, performance, reliability, security), and agentic workflows. Set product strategy and roadmap, write specs for engineering, partner with AI/ML, Data Science, Professional Services, and customer teams, and ensure auditability and regulatory readiness for enterprise financial customers.

Pre-sales technical lead supporting account executives to drive B2B deals: discovery, product demonstrations, validation events, RFI/RFP technical responses, and sales collateral. Collaborates with sales, product, success, and professional services; updates systems of record and supports cross-departmental initiatives. Travel as needed.

Build and scale AI/ML integrations and high-volume communication surveillance pipelines using Kotlin or Java, Kafka, REST APIs, OCR services, and Cognition v3 architecture. Responsibilities include API orchestration, workflow and error handling, data preprocessing and postprocessing, audit systems, attachment processing, observability with Prometheus and Grafana, reliability improvements, architecture reviews, testing, documentation, and knowledge transfer.

Manage partner-channel renewals to protect recurring revenue by leading 120-day renewal cycles, forecasting, partner health scoring, risk mitigation, QBRs, adoption strategies, and cross-functional coordination with Channel Account Managers and Enablement.

Lead and scale the product management organization across multiple product lines. Set strategy and multi-year roadmaps, own product lifecycle and KPIs (pipeline, bookings, revenue), manage and mentor product teams, collaborate with Engineering, Sales, Marketing, and Operations, handle budgets/pricing/ROI, and represent the portfolio to analysts, partners, and customers.

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.

Manage end-to-end lifecycle for top enterprise accounts: drive adoption, retention, health, governance, executive relationships, renewals, and strategic growth. Act as trusted consultant, lead escalations, run executive reviews, track metrics in CRM, and partner with sales and product teams to deliver customer outcomes and identify expansion opportunities.

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

Lead strategy and execution of ABM campaigns for enterprise accounts: align with sales and demand gen, manage budgets and timelines, target high-value accounts, measure performance and ROI, optimize campaigns, and run reporting dashboards to drive pipeline, expansion, and retention.

The Sr. Account Executive will sell compliance solutions to enterprise clients, managing extensive sales cycles and building relationships with C-suite executives.

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