Enlighten AI Labs

Revenue Operations

• Define pipeline stages, account and contact data, opportunity records, and handoffs
• Document field meanings, ownership, and data changes
• Maintain pipeline and attribution reporting
• Trace data generation and fix gaps at the source
• Agree on reporting definitions with sales, marketing, solutions, and leadership
• Review pipeline for stalled opportunities, missing context, and broken handoffs
• Run multiple AI agents in parallel to reconcile records, flag exceptions, and draft process documentation
• Verify reporting logic before sharing findings
• Build apps and workflows with agents to improve routing, flag follow-ups, and support data quality and attribution checks
• Turn recurring questions into reusable reports or workflows
• Track adoption and improve processes that slow users down
• Own CRM operations and provide the commercial team with a reliable view of pipeline, origin, and required attention
• Ensure AI-assisted operations improve speed and coverage while maintaining governance and validation

Explore Revenue Operations Manager at Enlighten AI Labs. Review requirements and application details.

Revenue Operations Manager

Account Executive

• Own account strategy and executive relationships for complex enterprise opportunities
• Develop strategic opportunities through research, prospecting, and SDR collaboration
• Build account plans around customer priorities, initiatives, and decision processes
• Build relationships with executive sponsors and buying-group influencers
• Position Enlighten around customer decisions and measurement questions
• Establish buying-group plans with owners, dependencies, open questions, and decision dates
• Surface scope, timing, and sponsorship risks early
• Own technical discovery and validation across data, workflows, integrations, security, and measurement
• Bring executives or delivery leaders into opportunities for specific expertise
• Build and run tailored live demos and proofs of concept with AI agents
• Prototype during or after discovery and document demonstrations, assumptions, and remaining tests
• Run multiple AI agents daily to research industries, prepare executive briefs, and check proposals
• Build tools to track relationships, decision risks, and agreed actions
• Review agent-assisted work before sharing it
• Coordinate internal experts around real buyer needs and provide necessary context

Explore Strategic Account Executive at Enlighten AI Labs. Review requirements and application details.

Strategic Account Executive

Sales Development Rep

• Respond promptly to inbound leads from the website, events, and content
• Assess inbound lead fit, understand what prompted the inquiry, and agree on next steps
• Build outbound prospect lists based on fit and timing
• Research target accounts and identify credible outreach reasons
• Write and send concise outreach through agreed channels and processes
• Run research, drafting, and review agents in parallel to prepare account briefs and personalize follow-ups and messages
• Check claims before sending external communications
• Lead early conversations to understand prospects’ roles, priorities, and current approaches
• Record replies, opportunity fit, and next steps for the account team
• Build small agent-assisted apps or workflows to organize research and follow-ups and reduce repetitive work
• Share which inbound sources, outbound messages, and account signals produce useful conversations
• Provide account executives with qualified handoffs and useful context
• Improve messaging and research based on real conversations
• Use AI and custom workflows to save preparation time while keeping customer-facing work accurate and human-reviewed

Explore Sales Development Representative at Enlighten AI Labs. Review requirements and application details.

Sales Development Representative

Customer Success Manager

• Lead customer onboarding and regular customer conversations
• Establish goals, milestones, owners, and next steps
• Learn customers’ team workflows, decision-improvement needs, and data or workflow barriers
• Review usage and customer feedback to assess adoption, evidence-supported outcomes, and areas needing support
• Run multiple AI agents in parallel to prepare account briefs, summarize feedback, and draft follow-ups
• Check AI-generated work before sharing it with customers
• Build small agent-assisted tools to organize customer context, track follow-ups, and prepare account health reviews
• Coordinate product, delivery, solutions, and commercial teams around open questions and risks
• Begin expansion and renewal planning early using evidence and clear next decisions
• Share recurring customer feedback with teams that can improve product, enablement, or delivery
• Verify facts, calculations, code, and claims before use in decisions, customer conversations, or releases
• Take initiative within agreed goals, scope, access permissions, and review processes
• Bring options and recommendations and involve appropriate stakeholders before changing customer commitments or production workflows

Explore Customer Success Manager at Enlighten AI Labs. Review requirements and application details.

Open roles

Revenue Operations Manager

Strategic Account Executive

Sales Development Representative

Customer Success Manager