AI First Growth Specialist
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Job Description
AI First Growth Specialist leveraging AI to drive growth for a renewable energy firm. Identifying growth opportunities and building AI-powered workflows in a remote capacity.
Responsibilities:
- Identify and validate 10x opportunities through rapid experimentation
- Run continuous full-funnel experiments across paid acquisition, organic growth, conversion optimisation, partner referral loops, and product activation.
- Use data to identify bottlenecks, conversion leaks, and high-leverage intervention points.
- Test and deploy AI-powered approaches to content production, audience targeting, personalisation, and campaign optimisation.
- Prove what works through data, then systematise it into repeatable workflows.
- Maintain experiment backlog prioritised by potential impact, learning value, and speed to results.
- Accelerate AI adoption to multiply team output
- Build AI-powered workflows that scale team capabilities: content generation, research automation, audience segmentation, creative testing, landing page optimisation.
- Train and enable marketing, sales, and partnerships teams on AI tools and workflows that multiply their individual output.
- Demonstrate measurable efficiency gains from AI usage (5-10x output increases, time saved, cost per acquisition reduction).
- Experiment with emerging AI tools and techniques, documenting what works and rolling out across teams.
- Build automated growth systems across the full funnel
- Design and ship no-code workflows using Clay, Make, Zapier, HubSpot that automate repetitive work across paid, organic, partner, and product-led growth.
- Build lead routing, enrichment, scoring, and nurture automation that accelerates conversion without manual intervention.
- Create self-serve enablement systems (partner portals, content libraries, ROI calculators) that reduce bespoke work requests.
- Implement attribution tracking and analytics dashboards that connect activity to revenue outcomes.
- Maintain reliability of growth infrastructure, troubleshooting and fixing when systems break.
- Multiply throughput across marketing, sales, and product
- Act as utility player across teams, identifying where automation or AI can remove bottlenecks.
- Build reusable templates, workflows, and playbooks that increase velocity for Content, ABM, Product Marketing, Community, Partnerships, and Sales.
- Reduce time-to-launch for campaigns and enablement through systematised workflows.
- Ensure higher utilisation of existing assets through better systems and distribution.
- Drive conversion efficiency and throughput across existing demand
- Optimise conversion rates across website, forms, email nurture, demo booking, and sales handoffs.
- Improve broker enablement and activation workflows to support growth targets.
- Enable enterprise scaling without proportional increase in marketing or sales effort through automation and better systems.
- Reduce friction in high-intent prospect journeys through data-driven optimisation.
Requirements:
- 5-7 years in full-funnel growth roles across B2B SaaS or complex B2B environments, with proven track record identifying and scaling growth loops across acquisition, conversion, and referral.
- Rapid experimentation expertise: You've designed and run 50+ experiments across multiple growth levers. You can walk through your experiment backlog, prioritisation framework, success criteria, and learnings. You default to testing before building.
- AI-native workflows with demonstrated ROI: You use LLMs daily and can show specific examples of 5-10x efficiency gains through AI automation. You've trained others on AI workflows and can demonstrate measurable team output increases.
- No-code automation mastery: You've shipped production systems using Clay, Make, Zapier, or similar. You understand APIs, webhooks, data transformations, and can build complex multi-step workflows without engineering.
- Data and analytics proficiency: You can perform data queries (or get AI to do it) to analyse funnel performance, identify bottlenecks, and measure experiment results. You build dashboards and use data to inform prioritisation.
- HubSpot or similar MA platform expertise: You can audit existing setups, build complex workflows, implement scoring models, and optimise full lifecycle automation.
- Cross-functional collaboration: You've worked across GTM functions. You can influence without authority, build consensus, and act as utility player across functions.
- Systems thinking with bias to action: You see patterns and build repeatable frameworks, but you ship fast and iterate rather than waiting for perfect. You're comfortable with ambiguity and changing priorities.
- Commercial accountability: You're measured on revenue outcomes (pipeline, conversion rates, deal velocity, MWh growth) not activity. You can connect your work to commercial results.
Benefits:
- Salary aligned to internal benchmarks and reviewed twice a year.
- Stock options so everyone has ownership in our mission.
- 25 days holiday plus public holidays. Swap public holidays for the ones that matter most to you, and enjoy your birthday off.
- Remote first and flexible working, with clear core hours and no internal meetings on Friday afternoons.
- Up to £1,200 or €1,200 per year for your remote setup.
- Up to £150 or €150 per month for wellbeing.
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