Jobs at Agiloft

Lead the design and implementation of Agiloft’s contract data model, including scalable pipelines, data warehouses, analytics layers, governance, monitoring, and quality controls. Drive architecture decisions, schema redesigns, and migrations in a multi-tenant SaaS environment while collaborating with Product, Engineering, Data Science, ML, and customer-facing teams. Provide technical mentorship and guide multi-quarter data initiatives supporting AI, analytics, and contract intelligence.

Lead the design and implementation of a scalable contract data model, including migration strategies, data architecture, pipelines, warehouses, analytics layers, governance, security, and quality monitoring. Partner with Product, Engineering, Data Science, ML, Professional Services, and customer-facing teams. Drive architecture decisions, provide technical mentorship, lead reviews, and manage multi-quarter data initiatives for a SaaS platform.

Own enterprise sales of Agiloft’s contract lifecycle management platform from qualification through close. Develop pipeline, execute MEDDPICC-based win and close plans, manage complex buying committees and procurement processes, deliver value-based presentations and demonstrations, coordinate proofs of concept and RFPs, and provide accurate forecasts. Partner with solutions consulting, professional services, marketing, sales development, deal desk, and implementation partners while articulating the business value of AI-enabled contract management.

Sell Agiloft’s contract lifecycle management SaaS platform to enterprise customers, owning complex opportunities from qualification through close. Responsibilities include value-based discovery, demonstrations, pricing proposals, MEDDPICC-aligned close plans, pipeline development, forecasting, RFP/RFI management, and collaboration with solutions consultants, professional services, partners, sales development, and marketing. The role requires managing multiple stakeholders and complex procurement processes while articulating the business value of AI-powered contract management.

Own and evolve the architecture of Agiloft’s AWS-based cloud services and CLM platform. Lead scalable, secure, resilient, and cost-efficient distributed-system design; define APIs, service boundaries, infrastructure, reliability standards, and technical roadmaps. Drive infrastructure as code, CI/CD, observability, automation, AI-assisted engineering, modernization, and developer experience improvements. Mentor engineers, influence cross-team technical direction, and partner with leadership and CloudOps on operational readiness, disaster recovery, and long-term platform strategy.

Own and evolve the architecture of Agiloft’s AWS-based cloud services and infrastructure. Lead scalable, secure, reliable, and observable distributed-system design; define service boundaries, APIs, and integration patterns; and drive modernization, automation, CI/CD, infrastructure-as-code, and AI-assisted engineering practices. Partner with CloudOps and engineering leadership on reliability, disaster recovery, cost optimization, and operational readiness. Mentor engineers, influence technical strategy, improve developer experience, and guide long-term platform evolution.

Leads engineering strategy, architecture, delivery, and organizational growth for Agiloft’s Contract Intelligence portfolio, including Astra Agents, the Contract Intelligence Graph, shared cloud services, APIs, IAM, AI Assistants, and MCP interfaces. Partners across Product, Design, AI, Core CLM, Security, and Cloud Operations to deliver secure, scalable, reliable customer-facing capabilities. Manages engineering leaders and distributed teams while driving predictable releases, operational excellence, responsible AI practices, and talent development.

Leads engineering strategy, architecture, delivery, and organizational development for Agiloft’s Contract Intelligence portfolio. Oversees Astra Agents, Contract Intelligence Graph, shared cloud-native platforms, APIs, IAM, AI assistants, and integrations. Partners with Product, Design, Applied AI, and Operations to deliver secure, scalable, reliable customer-facing systems. Manages distributed engineering teams, develops leaders, establishes operational metrics, guides responsible AI practices, and remains hands-on in architecture, code reviews, and technical decisions.

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Designs, builds, tests, deploys, and operates reusable enterprise integrations using Workato and modern APIs. Responsibilities include developing custom connectors and data mappings, managing authentication, error handling, observability, security, and deployment practices, and collaborating with partner engineering, Product, Engineering, Alliances, and Solution Consulting teams. The role also provides technical scoping, proofs of concept, escalation support, documentation, and AI-assisted engineering while ensuring production quality and maintainability.

Manage strategic enterprise accounts by driving executive alignment, customer adoption, renewals, expansion revenue, and long-term value. Develop multi-year account strategies, lead complex SaaS and consumption-based sales cycles, manage MEDDPICC qualification, and build relationships with C-level stakeholders. Partner with Customer Success, Sales, Product, Professional Services, and Solution Consulting teams while forecasting pipeline, mitigating risks, governing AI token consumption, and influencing product and go-to-market strategy.

Own day-to-day execution of the company’s partner-managed FedRAMP program. Translate FedRAMP and NIST requirements into actions, coordinate evidence collection and remediation, assess submission quality, track findings, manage shared-responsibility dependencies, and drive commitments across technical and business teams. Maintain program readiness, scope clarity, reporting, risk escalation, and continuous-monitoring activities while serving as the operational interface with external FedRAMP partners and assessors.

Own the architecture, scalability, security, reliability, and technical direction of critical AWS-based platform domains. Design distributed, event-driven backend services, data models, APIs, multi-tenant systems, and AI/ML infrastructure. Lead cross-team initiatives from design through release, establish engineering standards, mentor engineers, improve observability and delivery practices, and guide modernization while maintaining product quality and cost efficiency.

Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.