Job Type: Full-time, 40 hours a week, 8 hours per day with 1 hour unpaid break

Schedule: To be discussed by client (Pacific Time Zone) 

Job Overview

• This is a revenue seat, not a brand-and-comms one.
• B2B buying has changed: most buyers research independently, and the large majority now use AI answer engines to shortlist suppliers before they ever talk to sales.
• MQL volume has stopped predicting revenue, and demand generation is now judged on the qualified pipeline it creates and the deals it helps close.
• Our company needs someone who builds the system that produces that pipeline and makes the Industry Account Executive and Channel Manager measurably more effective.
• Company's edge is a signal-driven, account-based engine, not spray and pray.
• We identify the accounts and projects that are actually in-market in our verticals, put our sellers in front of them with the intelligence to win, and make us the answer buyers find when they research harsh-environment power through AI.
• You own that engine end to end.
• This is an AI-native builder role. The engine is being built now, not bought off a shelf.
• You design the workflows, direct our company's managed AI workforce to run the research, enrichment, and drafting, and keep people on the decisions that matter.
• If you use AI as a genuine force multiplier and think in pipeline, this role is built for you.

Responsibilities

• The lead-generation engine: Design and run company's demand engine delivering a steady flow of researched, prioritized, quote-ready opportunities to the direct and channel teams every week, with qualified pipeline contribution as the primary number.
• Signal-based ABM: Use intent and buying-signal data to find accounts and projects in-market in each priority vertical, and run coordinated, account-based programs that put the Industry Account Executive and Channel Manager in front of the right buying committee at the right time.
• Lists, enrichment, and automation: Build, segment, and continuously enrich the company's target-account and contact data with buying context, product fit, and contact mapping, and design AI-driven workflows that automate research, enrichment, scoring, and routing.
• Sales and channel enablement: Arm the Industry Account Executive and Channel Manager with account briefs, buying signals, fit-check and quote-ready notes, application content, and ready-to-send outreach.
• Content and answer-engine visibility (AEO/GEO): Direct the company's managed AI marketing workforce to produce vertical content, application notes, and comparison and selection guides, and optimize so we are the source AI answer engines cite when engineers research harsh-environment power.
• Attribution and measurement: Own marketing automation and CRM integration, closed-loop attribution from first touch to closed-won, and a weekly report on pipeline contribution and influence on win rate and deal velocity.

Milestones

• By day 90: Priority verticals selected with target-account lists built and enriched, a live intent and buying-signal feed, the first account-based campaigns running, and a baseline for AI answer-engine visibility instrumented.
• By month 6: The demand engine producing weekly quote-ready opportunities for direct and channel, closed-loop attribution working in the CRM, and a running content and AEO program compounding visibility in verticals.
• By month 12: A measurable, repeatable pipeline contribution the sales and channel teams rely on, the company consistently surfaced in AI answers for harsh-environment power, and a documented demand system that scales to new verticals.

Qualifications:

• 5+ years in B2B demand generation or growth marketing with clear ownership of pipeline contribution and revenue impact, ideally in industrial, technical, manufacturing, or another considered-purchase market.
• Demonstrated, hands-on use of AI to design workflows and multiply output across research, enrichment, content, and campaigns, with examples of what you built and the pipeline it produced.
• Signal-based ABM and intent-data experience: turning in-market signals into coordinated, account-based programs that sales acts on.
• Fluency in AI discovery and answer-engine optimization (AEO/GEO) and how to earn citations and visibility where buyers now research.
• Strong CRM and marketing-automation command, with closed-loop attribution from first touch to revenue.
• Pipeline and funnel discipline: think in qualified pipeline and revenue influence, not MQL volume, and operate lean by orchestrating AI rather than managing a large team.

Preferred

• Familiarity with the modern AI demand stack (predictive intent, enrichment, and attribution platforms).
• A growth and experimentation mindset applied to a long-cycle, technical, spec-in motion.
• Experience marketing to engineers, integrators, or other specifying and technical audiences.
• Exposure to water/wastewater, traffic/ITS, or industrial automation verticals.