Outbound AI Engineer

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. What Makes This Role Different 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. Responsibilities 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. What Makes This Role Different 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. How We Expect AI to Be Used This role is not about occasionally using ChatGPT or Claude to write outbound emails. We’re looking for someone who can use AI agents, workflows, automation, and agentic loops to make outbound faster, sharper, and more scalable across a focused set of target accounts. You should be comfortable using AI as a research, workflow, automation, and GTM execution layer. That means using LLMs where useful, but also connecting them to tools, data sources, workflows, and repeatable processes that help the pod operate more effectively. Examples of how you might use AI in this role: 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 Success in this role means contributing to: Pipeline created by the pod ARR generated by the pod High‑quality account engagement Opening doors in strategic target accounts Supporting AEs with research, assets, tools, and follow‑up Stronger pipeline creation and deal progression You will not be measured by activity volume, emails sent, or meetings booked for the sake of meetings. Requirements We’re looking for someone who can combine outbound execution with AI‑native thinking. You should be comfortable doing the hard parts of outbound, but also curious enough to build better ways of doing the work. You are: 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 Helpful Background BDR / SDR / outbound sales Enterprise sales development AI‑assisted prospecting or GTM automation Sales tools, workflow automation, or no‑code / low‑code systems Account‑based outbound or strategic account prospecting Working with assigned target accounts or named account lists Selling or prospecting into technical, product, data, operations, strategy, or revenue buyers Building workflows, internal tools, automations, or agent‑based research processes On‑Target Earnings (OTE): 75,000$ - 90,000$ About us Nimble is the real‑time web search platform built for enterprise accuracy, completeness, and trust. We run Web Search Agents that actively navigate live websites using real browsers and reasoning, turning the public web into governed, decision‑grade data for AI systems and high‑stakes business use. Unlike index‑based “AI search” tools or brittle legacy scraping, Nimble makes the live web queryable on demand, delivering structured outputs that teams can verify and rely on. Our platform powers use cases where correctness matters: financial due diligence, real‑time pricing and promotions, market intelligence, and AI systems that depend on fresh, complete data. Trusted by leading enterprises like Home Depot, Uber, and Coca‑Cola and backed by top‑tier investors, Nimble sits at the intersection of AI, automation, and real‑time web intelligence. As demand accelerates across AI, LLMs, and data‑driven decisioning, we’re scaling quickly and looking for high‑energy, driven teammates who thrive in fast‑moving environments and want to help define a new category. Why join Nimble? 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 #J-18808-Ljbffr Nimble