Growth Marketer

About the role

What you'll own

• Measure how AI assistants (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews) answer our buyers' questions, per market: are we cited, which sources they draw on, what they say about us, and which competitor wins the answer.
• Maintain the tracked prompt set across three buyer intents — discovery ("best X for Y"), alternatives ("alternatives to [competitor]") and sentiment ("[brand] reviews", "[brand] vs [competitor]") — built from observed queries, not guesses.
• Trace every negative or inaccurate AI answer to its root source (a review site, a directory listing, an employer-review page, a competitor page) and fix it there with dated, factual content.
• Ship content engineered to be quoted: answer-first pages, comparison and alternatives pages, FAQs with schema, and original data stories.
• Own technical readiness: structured data, llms.txt, AI-crawler rules, canonicals, redirects and page speed — spec the change, then verify it is live.
• Grow the off-site footprint AI engines trust: review-platform profiles and their category placement, consistent directory listings, tier-1 trade-media coverage, and disclosed community answers on forums like Reddit and Quora.

• Audit campaigns end to end — spend, then CRM contacts, MQLs, SQLs, opportunities and closed-won — and report true cost per SQL, per opportunity and per won deal next to the platform's own numbers.
• Find where junk leads enter (broad match, loose location settings, auto-generated ads, network expansion) and close each leak structurally, not one lead at a time.
• Read the account change history and attribute a shift in performance to a change only when timing and mechanism both support it.
• Keep bidding and conversion goals healthy: no low-volume goal running alone, staged goal migrations, budget raised in measured steps.
• Compare who is served, who clicks and who converts by age, device, audience segment and geography — then against who actually becomes pipeline.
• Publish a Stop / Start / Continue plan each cycle: what to kill, what to scale, and the one fix for each near miss.

• Own a weekly three-line scoreboard (organic clicks week on week, biggest losing pages, AI-citation movers) and a monthly full report.
• Keep GA4 key events, UTMs and CRM source fields clean enough that paid and organic results can be trusted.
• Write a predicted impact for every recommendation, then grade it honestly a month later.
• Brief and verify agencies against their contracted scope, measured on outcomes rather than activity counts.
• Build repeatable, AI-assisted workflows (LLMs, API connectors, light scripting) that turn manual audits into weekly routines.
• Work daily with sales development and sales so leads are routed, worked fast and fed back as quality signals.

What you'll bring

• 4–7 years in B2B growth, performance or SEO roles, at least two of them in B2B SaaS or another long-sales-cycle technology business.
• Hands-on Google Ads (Search, Demand Gen, YouTube) and LinkedIn Ads, accountable for a meaningful monthly budget.
• Strong technical SEO: Search Console, structured data, crawling and indexing, redirects and migrations. You can turn a crawl report into a spec a developer acts on.
• Working knowledge of AEO/GEO — how AI assistants choose and cite sources, and how to measure visibility across repeated prompt runs. You've run an AI-visibility audit, or can walk us through how you would.
• CRM fluency (HubSpot, Salesforce or similar): lifecycle stages, lead status, source fields and UTMs. You can build the report that ties spend to SQLs and deals.
• Analytical discipline: comfortable in GA4, spreadsheets and basic SQL, and clear on the difference between a change that coincided with a result and one that caused it.
• AI-native working habits: you already use LLMs, connectors and simple automations to run audits, reports and drafts — and you check what they produce.

Nice to have

• Marketing to industrial, logistics, automotive or other operations-heavy buyers, where the decision-maker is rarely the person searching.
• Multi-market experience across India and at least one of North America, the Middle East, Southeast Asia or the UK, including local search behaviour and non-English content.
• Python, Apps Script or similar for pulling APIs and automating reports.
• Experience with AI-visibility tools (Profound, Peec, Otterly, HubSpot AI Visibility or similar) and a view on when to build versus buy.
• Conversion-rate work: landing-page tests, session recordings and heatmaps (Microsoft Clarity, Hotjar).
• YouTube and video-led demand generation.
• Digital PR or trade-media relationships in a B2B category.

Tools you'll work with