Lead complex, high-value sales cycles to acquire new enterprise clients for Agiloft's AI-enabled Contract Lifecycle Management platform. Manage the full sales lifecycle from qualification to close, including strategic account planning and accurate forecasting in Salesforce.
Agiloft
12 Remote Job Openings at Agiloft
Develop and execute lead generation plans to meet pipeline quota targets through strategic outbound campaigns and inbound lead qualification. Collaborate with account executives to plan territory activities and maintain accurate CRM records.
Lead strategic engagements and complex demonstrations for enterprise clients to optimize their Contract Lifecycle Management processes. Act as a subject matter expert to mentor team members and collaborate with product teams to integrate customer feedback into the platform.
Design and develop scalable customer education content, including training modules, videos, and labs, to drive product adoption. Deliver live webinars, workshops, and instructor-led training sessions both virtually and at in-person events.
Design, build, and maintain enterprise software applications and cloud-native infrastructure on AWS. Collaborate with AI engineers to integrate LLMs and improve internal developer tools and CI/CD pipelines.
Develop and execute go-to-market strategies to position Agiloft as a leader in CLM and Contracts AI. This includes delivering market intelligence, creating thought leadership content, and managing product launches and analyst relations.
Responsible for developing new Mid-Market clients by managing the full sales lifecycle from qualification to close. This includes leading value-based discovery, articulating AI-powered solutions, and maintaining accurate forecasts in Salesforce.
Lead the design and development of core platform features using Python and an API-first approach. Build scalable backend services and implement frontend features using React and TypeScript within an AWS serverless environment.
Build and maintain enterprise software applications while collaborating with AI engineers to utilize LLM APIs. You will lead architecture decisions, improve CI/CD pipelines, and mentor junior team members to enhance overall team efficiency.
Lead the design and development of core platform features using Python and an API-first approach while building scalable backend services. Collaborate with cross-functional teams to implement front-end features and contribute to infrastructure workflows in an AWS serverless environment.
The Staff Platform Engineer will build and maintain enterprise software applications while collaborating with AI engineers to integrate large language models. They are responsible for improving infrastructure-as-code, CI/CD pipelines, and mentoring junior team members to ensure high-quality, scalable software delivery.
This role involves applying legal expertise and AI experience to drive the execution of Agiloft's AI product roadmap by collaborating with technical teams to design and refine AI-driven solutions for contract analysis. Responsibilities include optimizing AI performance through prompt engineering, validating AI outputs for accuracy, and translating legal requirements into actionable specifications for product development.