Go To Market Engineer - GTME (AI Demand Generation)

Go To Market Engineer - GTME (AI Demand Generation)

85K - 130K

Location: Remote / Hybrid

Reports to: Head of Sales

Stage: Series A, AI Company

About the Role

We’re hiring a Go To Market Engineer to turn our revenue stack into a compounding system. You sit at the intersection of Sales, Marketing, Customer Success, and the CTO, building the automations, data flows, and AI-powered “information products” that make demand gen and pipeline management faster, smarter, and measurably more effective.

This is a technical builder role for someone who loves systems and outcomes more than writing production software all day. You will live in HubSpot and across our connected tools, designing workflows, keeping data clean, creating AI-generated assets at scale (emails, one-pagers, infographics, battlecards, sequences), and shipping dashboards that make the next best action obvious.

You will be matrix-managed by the Head of Sales and CTO: commercial urgency meets technical rigor.

What You’ll Do

• Build and run the AI-powered GTM engine across HubSpot and adjacent tools: lead capture, enrichment, routing, scoring, sequences, lifecycle stages, and SLAs.
• Design automations that actually hold up in the real world using tools like n8n, Make.com, Lindy, and native integrations, connecting systems like Google Drive, HubSpot, email, calendars, and data sources.
• Create and maintain a single source of truth for funnel and pipeline: definitions, fields, properties, objects, governance, deduping, and data quality checks.
• Turn datasets into revenue-ready artifacts with AI: segmented lists, tailored messaging, outbound kits, customer proof packs, competitive snapshots, and campaign assets that Sales and Marketing can deploy immediately.
• Instrument the funnel end to end: lead qualification criteria, attribution logic, conversion events, cohort tracking, and lifecycle visibility from first touch to expansion.
• Ship dashboards that drive decisions: pipeline velocity, stage conversion, CAC signals, channel performance, rep activity inputs that matter, and leading indicators you can act on this week.
• Operate like a product manager for growth systems: gather requirements from GTM leaders, prioritize, launch, measure, iterate, and document so the machine keeps improving.
• Support the Head of Sales with GTM analytics and forecasting: clean inputs, consistent definitions, and automated reporting that reduces spreadsheet heroics.
• Continuously improve customer lifecycle visibility and LTV by bridging Marketing, Sales, and CS data so handoffs, retention signals, and expansion opportunities are visible and actionable.

Key Skills and Capabilities

• HubSpot power user (or willingness to become one): You can set up and maintain pipelines, lifecycle stages, properties, lists, scoring, routing, workflows, sequences, forms, and dashboards without breaking the CRM.
• Build systems, not one-offs: You can take a messy process and turn it into a repeatable machine that keeps working week after week.
• Data wrangling: You can clean, transform, and reconcile data (imports/exports, field mapping, dedupe, QA) so the story and the reporting are trustworthy.
• SQL or light Python: Enough to pull, clean, and validate data when spreadsheets are not enough.
• Integrations and automation: You can move data between systems using APIs, webhooks, and automation tools, including handling edge cases and failures. Tools like n8n or lindy ai or equivalent
• Data-to-asset translation: You can turn data-backed insights into sales and marketing artifacts with the marketing team (proof sheets, sequences, decks, landing copy, infographics) with the assistance of AI and in collaboration with the marketing team.
• Dashboards that drive action: You can build reporting that makes the next best action obvious for Sales, Marketing, and CS.
• Test, learn, optimize: You naturally run experiments: ship v1, measure impact, iterate, and document what changed.
• API comfort: You have worked with REST APIs, auth, and web-hooks and can troubleshoot integrations.
• Attribution experience: You have set up practical campaign tracking and measurement inside HubSpot. 
• Sales basics: You understand how the pipeline works, what makes a lead qualified, and what sales teams need to move deals forward.
• B2B SaaS exposure: You have supported a GTM team selling a complex product with a real sales cycle.

Must-Have Skills

• 2–5 years of experience in GTM Ops, RevOps, Marketing Ops, or Sales Ops / Enablement (B2B SaaS environment preferred).
• Familiarity with AI and automation tools used in GTM processes (HubSpot AI, Clay, Apollo, Gong, etc.).
• Proficiency in data analysis and reporting (Google Sheets, HubSpot Reporting, etc.).
• Strong understanding of lead lifecycle stages, MQL → SQL → Opp → Closed Won flow.
• Excellent communication and process documentation skills.
• Self-starter who thrives in fast-paced, high-growth startup environments.

Nice-to-Have Skills

• Experience with B2B SaaS demand generation or AI/ML-enabled products.
• Basic understanding of RevOps systems integration and data enrichment tools.
• Familiarity with workflow automation tools (Zapier, Make/Integromat).
• Understanding of Customer Success metrics (renewals, expansion, NPS).
• Exposure to AI marketing / sales tools or LLM-based personalization systems.
• Bonus: light experience with SQL, Python, or API integrations.

Who You Are

• You operate like a product owner for revenue systems. You take requirements from Sales, Marketing, CS, and the CTO, ship v1 fast, measure what changed, and iterate until it compounds.
• You’re accountable to outcomes, not activity. You care about conversion, velocity, meeting rates, pipeline health, retention signals, and what the data says to do next.
• You build systems that survive scale. You don’t duct-tape. You design flows, definitions, and automations that keep working as volume, team size, and complexity increase.
• You’re fluent in data stories. You can turn messy data into a clear narrative and then turn that narrative into assets the GTM team can actually deploy.
• You can switch between builder and operator. One day you are configuring HubSpot and integrations, the next you are publishing a dashboard and tightening the experiment plan.
• You collaborate with urgency. You partner tightly with the Head of Sales and CTO, bring initiative, and move fast without creating chaos for everyone else.

Why This Role Matters

You’ll be the engine builder behind how we scale our unified revenue organization.

Your work will power every touchpoint in the customer journey — from first click to renewal — and help turn data into decisions.

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Example Scenario in the life of a GTMEng

Scenario: EV Program Growth Campaign for Utility Prospects

Trigger from Head of Sales

“We need more qualified utility meetings for our EV solutions. Build a campaign that proves we can move enrollment fast.”

Data

• Pull the BlastPoint EV case study outcomes and isolate the headline proof points: EV rebate enrollment 55%, EV variable rate enrollment 98%, and a 500% increase in webpage traffic after a single targeted campaign.  
• Pull HubSpot CRM data: target account list (IOUs, co-ops, munis), personas, open opportunities, last touch, deal stage.

Creation (artifacts shipped) with the support of Marketing

• One-page “EV Program Lift” proof sheet for outbound (PDF landing page).
• A 5-email outbound sequence for utility CX program leaders, plus a LinkedIn DM script.
• A simple infographic that visualizes “right customers right message = enrollment lift.”

Workflow build (n8n HubSpot)

n8n nightly job:

• Query HubSpot for target accounts that match ICP and have not been contacted in 45 days.
• Generate personalized first lines and value prop variants with an LLM using the EV proof points.
• Create the sequence enrollment payload and push to HubSpot (contacts, lists, sequence enrollment, tasks).
• Log which proof asset was used so attribution is clean.

Insight

Segment messaging based on which outcome the prospect cares about most:

• “Enrollment lift” (program teams)
• “Rate adoption” (pricing teams)
• “Digital tool traffic” (digital/CX teams)

Turn this into rules in HubSpot: which CTA, which case study angle, which follow-up ask.

Measurement (HubSpot)

• Primary: meeting booked rate per segment, reply rate, CTA click-through, opp creation.
• Secondary: velocity by persona (days to first meeting), sequence-to-SQL conversion.

Optimization loop

• Weekly: A/B test subject lines and the lead proof point (55% vs 98% vs 500%).
• Update lead scoring so “clicked proof sheet visited EV page” outranks generic opens.
• Expand what works into a “campaign-in-a-box” template for the next vertical.