Jobs at Smarsh

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.

Provide technical account support for customer downgrades, cancellations, and backend teardowns. Triage and resolve cases, document in Salesforce and Confluence, coordinate with Engineering via Jira and Slack, mentor colleagues, and handle inbound calls and support cases while following policies to prevent service disruptions.

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.

The Enterprise Account Executive is responsible for driving new business revenue within the federal government, establishing relationships, closing sales, and managing proposal development to achieve sales targets.

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.

Lead hands-on administration of IAM systems (Okta, AD, M365), build and maintain integrations with endpoint and security tooling, own device trust and conditional access, support audits (SOC 2/FedRAMP), troubleshoot escalated identity issues, and document configurations while providing broader senior systems administration support.

Administer and support HR systems (BambooHR, Lever, Lattice, ADP), document and maintain integrations with Okta and NetSuite, map data flows, troubleshoot escalations, partner with IT/InfoSec on provisioning, evaluate tooling gaps, and support audits/compliance (e.g., SOC 2).

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.

Design, build, and scale Python backend services and agentic LLM workflows for a multi-tenant, regulated enterprise platform. Productionize LLM integrations (Bedrock), ensure security/compliance, implement async orchestration, optimize data layers (Postgres, vector search/RAG), and add observability, real-time eventing, and typed API contracts. Collaborate cross-functionally and drive architecture to production.

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 global SEO and AI-search strategy to protect and grow search-driven pipeline. Optimize for GEO/AEO/AIEO across LLM platforms, run keyword/entity research, implement technical SEO and structured data, build prompt libraries and dashboards, run experiments, and partner cross-functionally to tie AI search visibility to leads and revenue.

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 strategy, development, and commercialization of AI-powered features within a compliance and data archival platform. Define product vision and roadmap, translate technical requirements into prioritized backlogs, collaborate with engineering and stakeholders, measure product success, and drive adoption and lifecycle management of developer-facing infrastructure and AI solutions.

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