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.
Agiloft
17 Remote Job Openings at Agiloft
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.
Lead the design and development of core platform features and scalable backend services using Python and an API-first approach. Collaborate with cross-functional teams to build secure, maintainable systems within an AWS serverless environment.
Act as a strategic partner for high-value accounts to maximize customer value, drive retention, and identify growth opportunities. Collaborate cross-functionally to provide technical guidance, conduct product demos, and ensure seamless customer experiences.
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.
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. Build scalable backend services and implement frontend features using React and TypeScript within 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.
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 AI Data Platform Lead is responsible for designing and governing the cross-departmental data infrastructure that powers the company's AI transformation. This role involves building scalable data models, RAG architectures, and integration pipelines to support AI agents, predictive analytics, and operational intelligence.
The Manager of Data Operations & Business Intelligence leads the company's BI strategy, KPI governance, and executive financial reporting architecture. They chair the Data Committee to ensure cross-functional alignment on data quality, metric definitions, and analytics priorities.
The Sales Development Representative will develop and execute lead generation plans to meet pipeline quotas through strategic outbound campaigns and inbound lead follow-up. They will also maintain CRM data integrity and collaborate closely with account executives to manage territory activities.
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.
The specialist will partner closely with product teams to evaluate and enhance the legal accuracy and quality of contract review and analytics features within the AI platform. This involves hands-on testing of AI outputs, developing evaluation frameworks, and translating legal domain knowledge into actionable product requirements.
