Digital Marketing Specialist Location: Remote (India) Type: Full-time on contract Experience: 2-4 years Salary Range: ₹30,000-60,000/month About the Role We're building a GTM-as-a-Service practice serving B2B SaaS and enterprise tech companies. You'll own paid acquisition, analytics, and campaign optimization across multiple client accounts and internal products. Responsibilities Paid Advertising (60%) Plan, execute, and optimize Meta (Facebook/Instagram) and Google Ads campaigns Manage LinkedIn Ads for B2B lead generation Set up conversion tracking, pixels, and attribution A/B test creatives, audiences, and landing pages Manage ad budgets ($20-100/day per client initially, scaling up) Weekly performance reporting with actionable insight SEO & Website (25%) Technical SEO audits and implementation AI search optimization (ChatGPT, Perplexity, Google AI Overviews) Landing page optimization for conversion Keyword research and content briefs for SEO articles Analytics & Reporting (15%) Set up dashboards (Google Analytics, Looker Studio) Track CAC, conversion rates, ROAS across campaigns Competitor ad analysis (Meta Ad Library, SEMrush) Requirements Must Have 2+ years hands-on experience running Meta and Google Ads Proven results: Share campaign screenshots showing ROAS, CTR, conversions Google Ads certification Experience with B2B SaaS or tech products (not just e-commerce/D2C) Proficiency in Google Analytics 4, Tag Manager Working knowledge of landing page builders (Webflow, Framer, Unbounce) Fluent English (written and verbal) Good to Have LinkedIn Ads experience SEO tools (Ahrefs, SEMrush, Screaming Frog) Experience with Product Hunt launches Reddit/community marketing experience AI Tools Proficiency (Critical) Must actively use AI tools (ChatGPT, Claude, Gemini) for research, copywriting, analysis Experience with AI image generation for ad creatives (Midjourney, DALL-E, Ideogram) Familiarity with AI analytics tools
Location: Remote (India) Type: Full-time (Contract) Experience - 2-4 years Salary Range - ₹30,000-60,000/month About the Role You'll own content strategy, execution and lead generation across LinkedIn, social media, blogs, and marketing collateral for B2B tech clients and our founder's personal brand. This is equal parts strategy and hands-on writing. Responsibilities LinkedIn & Social Media (50%) Develop and execute LinkedIn content calendars for clients and founder Write 8-12 LinkedIn posts per week (mix of client accounts + personal brand) Engage strategically: comments on target accounts, community participation Track performance metrics and optimize based on data Repurpose content across Twitter/X, Reddit, and other platforms Lead generation through Linkedin Long-form Content (30%) Blog posts and articles (SEO-optimized) Case studies and customer stories Website copy and landing pages Email sequences and newsletter content Thought leadership pieces and bylined articles Marketing Collateral (20%) One-pagers and product briefs Sales decks and presentation copy Ad copy for paid campaigns (work with Digital Marketing Specialist) Product launch content (Product Hunt, press releases) Requirements Must Have 2+ years B2B Tech or enterprise software related content marketing experience (not just social media management) Strong portfolio: Share LinkedIn posts, articles, case studies you've written Proven LinkedIn results: engagement rates, follower growth, lead generation Excellent English writing (native-level fluency, no grammatical errors) Understanding of B2B SaaS, enterprise tech, or fintech industries Ability to translate complex technical topics into clear, engaging content Good to Have Experience in B2B tech and enterprise software related content strategy SEO content writing experience Personal LinkedIn following (shows you practice what you preach) Video script writing Experience with founder personal branding AI Tools Proficiency (Critical) Advanced ChatGPT/Claude usage for research, drafts, and ideation AI writing assistants (Jasper, Copy.ai, or similar) AI image tools for social media graphics Ability to use AI as accelerant while maintaining authentic voice