Outbound AI Engineer

NimbleWay • San Francisco, CA

13d

About The Position

As an Outbound AI Engineer at Nimble, you will support a focused Enterprise pod of 2–3 Enterprise AEs and help create pipeline and ARR from assigned strategic accounts. The role combines outbound prospecting with AI, agents, automation, account research, GTM assets, and follow-up support. You will help open doors and book qualified meetings while also supporting account strategy, opportunity progression, and revenue generation. This is not a software engineering role, but it requires resourcefulness, comfort with modern AI tools, and the ability to connect AI to practical GTM workflows and repeatable systems.

The role is outcome-focused rather than activity-focused. You will work closely with AEs, stay focused on assigned accounts and strategic GTM priorities, and contribute research, messaging, assets, tools, and follow-up that help progress opportunities from first meeting to pipeline and ARR. AI is expected to be used as a research, workflow, automation, and GTM execution layer—not merely as a way to write outbound emails. Nimble describes itself as a real-time web search platform for enterprise accuracy, completeness, and trust, using Web Search Agents to navigate live websites and provide structured data for AI systems and business use.

Requirements

• Commercially minded and revenue-oriented.
• Comfortable with outbound prospecting, including email, LinkedIn, and phone.
• Strong account research and business writing skills.
• 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 such as Claude to external tools, data sources, workflows, and internal systems.
• Familiar with Skills, APIs, automations, no-code or 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.
• Uses judgment, business context, and sales instincts in AI-assisted outbound.
• Disciplined about working assigned target accounts and GTM priorities.
• Strong follow-up, organization, and CRM hygiene.
• Able to work closely with AEs and support opportunities after the first meeting.
• Excited by a role blending outbound, AI, GTM strategy, and sales execution.
• Resourceful, AI-native, and comfortable using modern AI tools to replace manual BDR work with better research, personalization, faster execution, and useful sales support.

Nice To Haves

• Experience in BDR, SDR, or outbound sales.
• Experience in enterprise sales development.
• Experience with 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.

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.
• Create 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.
• Focus on assigned accounts and strategic GTM priorities rather than pursuing easy meetings outside the target list.
• Build account research agents and workflows that gather, summarize, and structure public web signals.
• Create account briefs covering company priorities, business models, public web presence, competitive landscapes, and relevant business initiatives.
• Identify stakeholders and buying committees and develop relevant outbound angles by persona, account, and use case.
• Create repeatable messaging frameworks and personalized outreach based on account-specific signals.
• Use AI agents to analyze websites, documentation, product pages, job postings, news, company updates, customer stories, technical content, and other public web signals.
• Connect AI tools such as 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.
• Create GTM assets to help AEs open conversations and move opportunities forward.
• Improve meeting follow-up by summarizing context, identifying next stakeholders, creating tailored assets, and helping AEs multi-thread accounts.
• Continuously test and improve outbound messaging, targeting, and account strategy based on conversion.
• Contribute to pod pipeline and ARR, high-quality account engagement, opening strategic target accounts, and stronger pipeline creation and deal progression.

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