Ai full-stack marketing & automation expert

The AI Full-Stack Marketing & Automation Expert exists to run Spot's growth initiatives end to end — from experiment design through build, launch and measurement — and to build the AI systems that do the work rather than just using existing ones. The role directly drives the growth strategy by increasing experiment velocity, automating manual marketing process, and ensuring decisions are grounded in clean attribution and measurement. It is the team's operator: AI agents handle the volume while this person owns strategy, build quality and QA.

KEY RESPONSIBILITIES

Growth Execution Run performance campaigns, lifecycle flows and CRO experiments independently, from idea to result. Design clean experiments — sound on sample, significance and what to ship.

AI Systems & Automation Build and maintain automations and agent pipelines (n8n, Make, custom GPT/Claude pipelines, or current equivalents). Wire AI into performance, lifecycle and CRO workflows so experiments run faster and at higher volume. Put sensible guardrails and failure handling around agentic automation. Build backend and data integrations — Supabase (or equivalent), tables and data schema, API integrations, and stitching tools and agents together, including MCP (Model Context Protocol) setup and usage.

Measurement & Attribution Own attribution, UTM structure and measurement; instrument before launching. Defend what a campaign actually drove, not just report a number.

Platforms & Tooling Work hands-on across Mixpanel, CRM tooling, landing-page builders and no-code/low-code platforms. Use AI build tools (e.g., Lovable, Claude Code) to draft, build and instrument landing pages and flows, then QA and measure them rigorously.

QUALIFICATIONS AND EXPERIENCE

Education

Relevant degree or equivalent practical experience. Spot deliberately weights demonstrated capability over formal credentials. The emphasis is on AI-native candidates — including early-career, high-potential talent — who can clearly demonstrate command of automation and AI-driven work output, evidenced by things they have actually built.

Experience

Proven experience running growth, performance or lifecycle marketing end to end, with demonstrable technical depth (built automations/agentic workflows). Strong grasp of attribution, UTMs and analytics; hands-on with a product analytics tool such as Mixpanel. Whats App Business/conversational flows, ASO, fintech/telecoms/mass-market, backend/data integration (e.g., Supabase, data schemas, APIs and MCP) and light coding (JS/Python/SQL) are advantageous.

SKILLS AND CAPABILITIES Building agentic automation and AI pipelines (n8n, Make, custom GPT/Claude, Claude Code, Lovable, or current equivalents) — builds, not just uses. Backend and data integration — Supabase (or equivalent), data-schema/table design, API integrations, and stitching tools together (including MCP setup and usage). Running performance campaigns, lifecycle flows and CRO experiments independently. Measurement and attribution rigor — UTM discipline, instrumentation, defensible results. Customer journey management — hands-on with CRM tooling, landing-page builders and no-code/low-code platforms. Analytics — hands-on with a product analytics tool such as Mixpanel, GA4, Snowflake. Experiment design — sample, significance and shipping decisions. Guardrails and failure-mode thinking for safe automation.

At Ignition Group, digital and AI fluency is not a nice-to-have — it is a core performance requirement for every role, at every level. As AI and automation reshape how work gets done, the ability to work confidently and responsibly alongside these tools is as fundamental as any technical or professional skill.

What this means in practice: Digital fluency — navigating and using digital platforms, tools, and systems relevant to your role with confidence and competence AI tool adoption — actively using approved AI productivity tools (e.g., Microsoft Copilot, Claude co-work, anti gravity or Codex) to improve the quality, accuracy, and efficiency of your work Data literacy — reading, interpreting, and applying data and AI-generated outputs to make better decisions, not replacing your judgement but sharpening it Automation awareness — recognising tasks and processes that can be improved through automation, and contributing to those improvements Learning agility — staying curious, upskilling continuously, and adapting as tools and practices evolve Responsible and ethical AI use — understanding data privacy obligations, the limits of AI-generated content, and applying sound human judgement at all times

How this is assessed:

Digital and AI Fluency is an important competency for all roles in Ignition Group and will be assessed as part of the hiring process. The expected proficiency level for each role is aligned to the requirements of the role. #J-18808-Ljbffr