SEO / SEM Specialist

About the role

The SEO / SEM Specialist owns the end‑to‑end organic and paid search strategy, scaling technical SEO, site architecture and high‑intent SEM campaigns to drive pipeline and revenue. Working closely with content, product marketing and growth engineering, the role optimises site performance, captures high‑value keywords and maximises return on ad spend.

Key responsibilities

• Manage and optimise comprehensive SEO strategies, including technical site audits, core web vitals, internal linking and metadata optimisation.
• Plan, execute and scale paid search campaigns across Google Ads and Bing Ads to meet CAC and pipeline targets.
• Conduct exhaustive keyword research and competitor analysis to inform content creation and paid bidding strategies.
• Design, implement and monitor continuous A/B testing on landing pages, ad copy and bidding models to improve conversion rates.
• Track, analyse and report on organic and paid search KPIs using GA4, Google Search Console, SEMrush and CRM attribution models.
• Collaborate with content teams to align publishing schedules with search demand trends and backlink acquisition goals.

Required profile

• 3‑6 years of hands‑on experience managing enterprise SEO and paid‑search campaigns in high‑growth B2B or B2C tech environments.
• Deep expertise with industry‑standard tools such as Google Ads, Google Analytics 4, Search Console, SEMrush, Ahrefs and enterprise tag managers.
• Demonstrated technical SEO knowledge including site migrations, JavaScript rendering, schema markup and site‑speed optimisation.
• Strong analytical background with the ability to turn complex data sets into clear, actionable growth strategies.
• Bachelor’s degree in Marketing, Communications, Data Science or a related field.
• Bonus: experience with programmatic SEO, SQL and Python for marketing automation.

Required skills

• Google Ads
• Google Analytics 4
• Google Search Console
• SEMrush
• Ahrefs
• Enterprise tag managers
• JavaScript rendering
• Schema markup
• Site‑speed optimisation
• SQL
• Python