Senior Content Strategist

I'm hiring for my team at GoComet. 3 roles, hybrid (Bangalore):

- Senior Content Strategist
Mine customer calls, sales conversations, and product knowledge for insights nobody else has. Turn them into content that's citable by readers, and by LLMs. You essentially build the briefs, direct the AI drafting, and then edit hard for voice and accuracy.

- Lead – Original Research
Own our proprietary research program. Dig into platform data (shipping, rates, transit times) to answer questions no one else can. Turn that into flagship reports that earn links, citations, and analyst attention.

- Lead – Entity & Distribution
Own how the market (and LLMs) perceive GoComet. Entity strength, distribution, executive thought leadership, PR. Every piece we publish → you turn into a launch.

Full JDs + application form in the comments.

Two things I want to flag:

1. The form asks for a short Loom (~3 min) on why you'd be a great fit for the role. This is mandatory, and tells us way more than a cover letter ever could.

2. Everything goes through the form. No DMs please.

These are very exciting, high-ownership roles and you'll have a chance to build from scratch. If you know someone who'd be a great fit, tag them or share this!

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Senior Content Strategist
Location: Bangalore, India
Reports to: Director, Organic & Content (Pod Lead)

Role summary

You are the interpretation layer that turns customer conversations, product knowledge, and competitive white space into information-gain content that AI cannot replicate. Reporting to the Director, Organic & Content, you design high-signal briefs, oversee AI-generated drafts for structural compliance, and ensure every published piece earns the right to be cited by answer engines and LLMs. You work in tight partnership with the Lead – Original Research, pulling proprietary data into your articles so that our content library compounds over time.

Key responsibilities

Insight extraction: Mine Gong call transcripts, win/loss interviews, product team briefings, and customer conversations (via the context AI system) to surface the specific, defensible insights that become the core of every piece.

Brief construction: For each assigned piece, choose the information-gain type (proprietary data, original framework, synthesized expertise, contrarian take, depth/specificity, tooling) and build a structured brief that includes target queries, SERP/intent analysis, structural rules, voice direction, and the insight that makes it different.

AI drafting oversight: Use the publishing AI skill to produce structurally optimized drafts (atomic answers, schema, internal linking, extractable answers); then perform heavy voice editing, fact-checking, and cross-reference injection — every piece cites at least one relevant original research asset.

Maintenance: Continuously review the existing content library for decay, consolidation opportunities, and freshness updates; collaborate with the Director, Organic & Content on refresh-versus-kill decisions.

Cross-branch integration: Proactively pull from the Lead – Original Research’s output to seed proprietary data citations across existing articles, multiplying the authority impact of every research drop.

What success looks like

Every published piece passes the information-gain test: it can name which of the six types it delivers, and it demonstrably adds something the top-ranking pages and LLM knowledge bases do not already contain.

The content library is structurally readable by both crawlers and language models, leading to citation in AI Overviews and LLM responses.

Requirements

5+ years in B2B content strategy, editorial, or content marketing for a technical or SaaS audience; logistics/supply chain experience is a strong plus but not required.

Proven ability to extract non-obvious insights from subject-matter experts, sales teams, and customers, not just rephrase what’s already on page one.

Experience with AI-assisted content workflows: you’ve moved beyond “prompt and paste” to building reusable brief structures, grading AI output, and editing for voice and accuracy.

Deep familiarity with on-page SEO, structured data, and the structural elements that make content extractable by LLMs (atomic answers, comparison tables, source-able claims).

Strong editorial judgement and the discipline to say no to content that fails the information-gain bar, even when it passes a keyword-volume test.