Go-To-Market Sales Automation Engineer

???? Role Requirements:
No-code automation expertise: Strong experience with n8n, Zapier, Integromat/Make, or similar orchestration tools.

Sales tooling knowledge: Familiarity with ---------- , LinkedIn Sales Navigator, Instantly.ai / Smartlead, Dripify, We-Connect, Calendly, and Google Workspace.

AI integration skills: Ability to connect OpenAI API (or similar LLMs) for dynamic personalization and outbound messaging.

Process builder mindset: Can map lead flow end-to-end (lead source ? enrichment ? outreach ? scheduling ? reporting).

Data wrangling: Proficient in Google Sheets / Airtable for storing, syncing, and cleaning campaign data.

Analytics & reporting: Able to create dashboards (Google Looker Studio or similar) to track KPIs like cost per demo, open/reply rates, and booked meetings.

Sales awareness: Understands B2B outbound workflows (cold email, LinkedIn outreach, SDR playbooks).

Documentation & handoff: Can deliver simple SOPs + training so VAs can operate the system post-build.

Execution speed: Comfortable delivering a 2-week sprint build with working campaigns live.

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???? No-Code ADE (Automated Demo Engine) – 2 Weeks
Tools Stack (all no-code / low-code)
Lead sourcing: ---------- , LinkedIn Sales Navigator exports

Orchestration: n8n (self-hosted or cloud) or Zapier (if needed)

AI Personalization: OpenAI API connected via n8n/Zapier + Google Sheets


Email outreach: Instantly.ai / Smartlead / Apollo Sequencer

LinkedIn outreach: Dripify / We-Connect

Scheduling: Calendly (integrated with Google Calendar / Outlook)

CRM/reporting: Google Sheets + Looker Studio dashboard (lightweight)


1. Phase 1 – Lead Flow Setup (Days 1–3)
Import seed lists from Apollo (CSV ? Google Sheets).

Deduplication + tagging by campaign.

Build n8n/Zap to:

Pull Apollo export

Push enriched contacts into outreach tools (Instantly/Dripify).

Deliverable: Automated lead intake pipeline.


2. Phase 2 – Personalization Engine (Days 3–5)
Google Sheets template stores personalization tokens (role, company size, industry).

n8n/Zap uses OpenAI API to generate:

Cold email copy (short + long)

LinkedIn connect message + 2 follow-ups

Output validated into Google Sheet column, then synced into Instantly/Dripify automatically.

Deliverable: Working personalization loop.


3. Phase 3 – Outreach Sequencing (Days 5–8)
Connect:

Instantly.ai (email campaigns with warm-up + rotation)

Dripify (LinkedIn sequences)

Build 3-step omni-channel sequence:

LinkedIn connect


Email follow-up (24h after)

LinkedIn message + calendar CTA

Deliverable: Fully automated outreach playbook live on 1–2 campaigns.


4. Phase 4 – Scheduling Integration (Days 8–10)
Embed Calendly link in email + LinkedIn templates.

n8n monitors Calendly bookings ? pushes new meetings into Google Sheets (acting as CRM).

Auto-notification to Slack/Email when a demo books.

Deliverable: Calendar automation + notifications.


5. Phase 5 – Reporting & Analytics (Days 10–12)
Track:


Emails sent, open %, reply % (from Instantly.ai)

LinkedIn connect/response rates (from Dripify)

Demo meetings booked (from Calendly).

Build lightweight dashboard in Google Looker Studio pulling from Google Sheets.

Deliverable: Single dashboard with campaign KPIs.


6. Phase 6 – Handoff & Scaling (Days 12–14)
Document all workflows (n8n/Zap flows, Sheets templates, campaign setup).

Train VAs to upload lists and monitor dashboards.

Run test: Target = 5 booked demos per week per campaign.


? Success Criteria (in 2 weeks)
Leads flow from Apollo ? Outreach ? Demo booking without manual re-entry.

1–2 campaigns running live, with automated personalized outreach.

CFO-targeted funnel integrated with Calendly scheduling.

Reporting dashboard showing cost per booked demo.