The Role
Own organic and paid growth programs to generate qualified B2B pipeline. Responsibilities include technical SEO, AEO/GEO, content and AI visibility, Google and LinkedIn campaign optimization, CRM and attribution reporting, conversion analysis, agency oversight, and sales alignment. The role requires hands-on management of paid media, analytics, technical SEO, lifecycle data, and AI-assisted automation, with accountability for SQLs, opportunities, and closed-won revenue.
Summary Generated by Built In
About the role
What you'll own
Tools you'll work withAreaToolsPaid mediaGoogle Ads (Search, Demand Gen, YouTube), LinkedIn Ads, MetaWeb and search analyticsGA4, Google Search Console, Microsoft ClarityCRM and automationHubSpotData and reportingSupermetrics or similar connectors, Google Sheets, Looker StudioSEOAhrefs or Semrush, Screaming FrogAI visibilityChatGPT, Gemini, Perplexity, Claude, Google AI Overviews;Prospect and intent dataZoomInfo, ApolloAI workflowLLM assistants with API connectors, light Python
We're hiring a Growth Marketer to own the two engines that turn marketing spend into pipeline: organic visibility (SEO plus answer-engine and generative-engine optimisation, AEO/GEO) and paid campaign performance. You'll audit both, fix what leaks, scale what works, and be judged on qualified pipeline — not clicks, form fills or impressions.
You'll run two loops — organic and paid.
Organic visibility: SEO, AEO and GEO
- 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.
Paid performance
- 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.
Measurement and operating rhythm
- 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.
You've run both paid and organic yourself, hands on keyboard, and you can show what your work did to pipeline.
- 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.
- 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.
Skills Required
- 4-7 years of experience in B2B growth, performance marketing, or SEO roles
- At least 2 years of experience in B2B SaaS or another long-sales-cycle technology business
- Hands-on experience with Google Ads, including Search, Demand Gen, and YouTube
- Hands-on experience with LinkedIn Ads and accountability for a meaningful monthly budget
- Strong technical SEO experience, including Search Console, structured data, crawling, indexing, redirects, and migrations
- Working knowledge of AEO/GEO and AI assistant source citation and visibility measurement
- CRM fluency with HubSpot, Salesforce, or similar systems
- Experience with lifecycle stages, lead status, source fields, UTMs, and reporting spend to SQLs and deals
- Analytical proficiency with GA4, spreadsheets, and basic SQL
- Experience using LLMs, connectors, and simple automations for audits, reporting, and drafting
- Experience marketing to industrial, logistics, automotive, or other operations-heavy buyers
- Multi-market experience across India and at least one additional international region
- Python, Apps Script, or similar experience for API integrations and report automation
- Experience with AI visibility tools such as Profound, Peec, Otterly, or HubSpot AI Visibility
- Conversion-rate optimization experience with landing-page tests, session recordings, or heatmaps
- YouTube and video-led demand-generation experience
- Digital PR or trade-media relationships in a B2B category
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Intangles is an IOT company based out of Pune with its expertise in Advance Telemetry and Operations Automation. Intangles has developed its own set of proprietary algorithms which allows fleet operators to monitor the performance of the vehicle in real time. The biggest USP is the state of the art proprietary algorithms which allows fleet operators to take informed decisions. Intangles aspires to be the world’s foremost authority in Telemetry and Vehicle Performance monitoring through predictive/prognostic monitoring and benchmarking performance of the vehicle based on its own Data analytics platform “Indium”. Our vision is to help fleet operators monitor, benchmark and do predictive maintenance of assets and identify underperforming assets to increase overall operational profits.
