Outbound AI Engineer

NimbleWay•San Francisco, CA

1d•$75,000 - $90,000

About The Position

As an Outbound AI Engineer at Nimble, you will support a focused Enterprise pod and help it create pipeline and ARR. You will own top-of-funnel work while also supporting opportunity progression and revenue generation through AI agents, automation, account research, go-to-market assets, and follow-up. The role combines outbound accountability with the leverage of AI, agents, automation, and GTM tooling. It is focused on pod outcomes rather than activity volume, and you will work on assigned strategic accounts alongside Enterprise AEs. You do not need to be a software engineer, but you should be resourceful, AI-native, and comfortable connecting modern AI tools to practical GTM workflows. The role calls for someone who can use AI for research, workflow automation, and sales execution—not just prompting or writing outbound copy—and build repeatable systems that help the pod work more effectively. Nimble is a real-time web search platform for enterprise accuracy, completeness, and trust. Its Web Search Agents navigate live websites using real browsers and reasoning, transforming the public web into governed, decision-grade data for AI systems and high-stakes business use. The platform supports use cases such as financial due diligence, real-time pricing and promotions, market intelligence, and AI systems that depend on fresh, complete data. Nimble is backed by top-tier investors and serves enterprises including Home Depot, Uber, and Coca-Cola.

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 using AI, automation, spreadsheets, enrichment tools, and lightweight dashboards.
Able to turn public web data and account signals into specific outbound angles.
Able to apply judgment, business context, and strong sales instincts to 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.
Interested in a role blending outbound, AI, GTM strategy, and sales execution.

Nice To Haves

Experience in BDR, SDR, or outbound sales.
Enterprise sales development experience.
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 to 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.
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 pursuing easy meetings outside the target list.
Build or use workflows that gather, summarize, and structure public web signals, and turn research into account briefs, stakeholder maps, and relevant outbound angles.
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.
Continuously test and improve outbound messaging, targeting, and account strategy based on conversion.
Contribute to pod pipeline creation, ARR generation, high-quality account engagement, strategic account access, and deal progression.