Outbound AI Engineer, Data + Retail / CPG

NimbleWay • New York, NY

4h • Remote

About The Position

Nimble is seeking an Outbound AI Engineer to support its Enterprise sales efforts, specifically targeting Data and Retail/CPG accounts. This role is distinct from a traditional BDR position. The AI Outbound Engineer will be part of a focused Enterprise sales pod, responsible for generating Sales Working pipeline and ARR. While owning top-of-funnel activities, the role extends beyond just booking meetings. It involves leveraging AI agents, automation, in-depth account research, and GTM assets to help the pod penetrate target accounts, advance opportunities, and drive revenue. The focus will be on companies that require live web data for core business operations, including Retail and CPG sectors, as well as other businesses utilizing external web data for pricing, product intelligence, market monitoring, competitive intelligence, location data, listings, reviews, content, and other critical business workflows.

Requirements

• Use AI agents, workflows, automation, and agentic loops to make the outbound motion faster, sharper, and more scalable across a focused set of target accounts.
• Comfortable using AI as a research, workflow, automation, and GTM execution layer.
• Utilize LLMs where useful, and connect them to tools, data sources, workflows, and repeatable processes.
• Build repeatable account research agents for target accounts and verticals.
• Create agentic workflows that gather, summarize, and structure public web signals across accounts.
• Build account briefs that summarize company priorities, business model, data needs, public web presence, competitive landscape, and relevant business initiatives.
• Identify relevant stakeholders and buying committees across data, analytics, ecommerce, operations, pricing, product, strategy, and revenue teams.
• Turn account research into relevant outbound angles by persona, account, and use case.
• Build repeatable messaging frameworks for different verticals, segments, and buyer types.
• Create personalized outreach based on account-specific signals, not generic AI-written copy.
• Use AI agents to analyze websites, product catalogs, marketplaces, pricing pages, job postings, news, earnings calls, reviews, listings, and other public web signals.
• Build lightweight workflows, automations, dashboards, and internal tools that help the pod prioritize accounts and execute faster.
• Connect AI tools like Claude to external tools, data sources, workflows, and internal systems through Skills, APIs, automations, or similar approaches.
• Use agentic loops to monitor accounts, surface changes, identify triggers, and suggest next actions.
• Use AI to create GTM assets that help AEs open conversations and move opportunities forward.
• Improve follow-up after meetings by summarizing context, identifying next stakeholders, creating tailored follow-up assets, and helping the AE multi-thread the account.
• Continuously test and improve outbound messaging, targeting, and account strategy based on what is converting.

Responsibilities

• Support a pod of 2–3 Enterprise AEs focused on Data and Retail / CPG accounts
• Research accounts, stakeholders, buying committees, market signals, and relevant business initiatives
• Build and execute outbound campaigns across email, LinkedIn, phone, and other channels
• Book qualified meetings with target accounts
• Use AI agents, workflows, and automation to improve account research, personalization, messaging, sequencing, and follow-up
• Build repeatable account research workflows for target accounts and verticals
• Build lightweight tools, workflows, dashboards, and automations that help the pod prioritize accounts and execute faster
• Create account-specific or industry-specific GTM assets that help AEs open and progress conversations
• Support post-meeting follow-up, stakeholder mapping, and multi-threading
• Partner closely with AEs to help move opportunities from first meeting to pipeline and ARR
• Stay focused on assigned accounts and strategic GTM priorities rather than chasing easy meetings outside the target list

Benefits

• Work on a deeply technical platform powering real-time AI and enterprise decisions
• Help define the future of Web Search Agents and live web intelligence
• Build alongside a sharp, mission-driven team that moves fast, ships often, and takes ownership

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed