Outbound AI Engineer

NimbleWay • New York, NY

62d

About The Position

As an Outbound AI Engineer at Nimble, you’ll support a focused Enterprise pod and help that pod create pipeline and ARR. You’ll own the work traditionally associated with top-of-funnel, but your role will not stop at booking meetings. You’ll use AI agents, automation, account research, GTM assets, and follow-up support to help the pod open doors, progress opportunities, and generate revenue. The goal is simple: help the pod create more pipeline and ARR from the accounts we care about. You do not need to be a software engineer. You do need to be resourceful, AI-native, and comfortable using modern AI tools to replace manual BDR work with better research, stronger personalization, faster execution, and more useful sales support. Being good at prompting is helpful, but it is not enough. We’re looking for someone who understands how to connect AI into actual GTM workflows and can think in terms of agents, workflows, tools, and repeatable systems. Most BDR roles are built around activity volume. This role is built around pod outcomes. You’ll be expected to open doors and book meetings, but also to help the pod create better account strategies, better messaging, better assets, better follow-up, and better ways to engage the accounts we care about. You are not just passing meetings to AEs and moving on. You are part of the Enterprise pod and share the goal of creating pipeline and ARR from the accounts assigned to that pod. The role combines the accountability of outbound with the leverage of AI, agents, automation, and GTM tooling.

Requirements

• Combine outbound execution with AI-native thinking
• Comfortable doing the hard parts of outbound
• Curious enough to build better ways of doing the work
• Commercially minded and revenue-oriented
• Comfortable with outbound prospecting, including email, LinkedIn, and phone
• Strong at account research and business writing
• Able to understand business problems and turn them into relevant outreach
• Able to use AI as a workflow and research engine, not just as a copywriting tool
• Comfortable connecting AI tools like Claude to external tools, data sources, workflows, and internal systems
• Familiar with Skills, APIs, automations, no-code / low-code tools, or similar ways to extend AI beyond a chat interface
• Able to build repeatable processes with AI, automation, spreadsheets, enrichment tools, and lightweight dashboards
• Able to turn public web data and account signals into specific outbound angles
• Aware that good AI-assisted outbound still requires judgment, business context, and strong sales instincts
• Disciplined about working assigned target accounts and GTM priorities
• Strong at follow-up, organization, and CRM hygiene
• Able to work closely with AEs and support opportunities after the first meeting
• Excited by a role that blends outbound, AI, GTM strategy, and sales execution
• Experience in BDR / SDR / outbound sales
• Experience in Enterprise sales development
• Experience in AI-assisted prospecting or GTM automation
• Experience with Sales tools, workflow automation, or no-code / low-code systems
• Experience in Account-based outbound or strategic account prospecting
• Experience working with assigned target accounts or named account lists
• Experience selling or prospecting into technical, product, data, operations, strategy, or revenue buyers
• Experience building workflows, internal tools, automations, or agent-based research processes

Nice To Haves

• Being good at prompting is helpful, but it is not enough.
• Understands how to connect AI into actual GTM workflows and can think in terms of agents, workflows, tools, and repeatable systems.

Responsibilities

• Support a pod of 2–3 Enterprise AEs
• Research accounts, stakeholders, buying committees, market signals, and relevant business initiatives
• Build AI-executed 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 assigned accounts and segments
• Build lightweight tools, workflows, dashboards, and automations that help the pod prioritize accounts and execute faster
• Create account-specific or segment-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
• Use AI as a research, workflow, automation, and GTM execution layer
• Connect LLMs to tools, data sources, workflows, and repeatable processes
• Build repeatable account research agents for assigned accounts and segments
• Create agentic workflows that gather, summarize, and structure public web signals across accounts
• Build account briefs that summarize company priorities, business model, public web presence, competitive landscape, and relevant business initiatives
• Identify relevant stakeholders and buying committees across target accounts
• Turn account research into relevant outbound angles by persona, account, and use case
• Build repeatable messaging frameworks for different segments, buyer types, and use cases
• Create personalized outreach based on account-specific signals, not generic AI-written copy
• Use AI agents to analyze websites, documentation, product pages, job postings, news, company updates, customer stories, technical content, 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

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