GTM Analyst

🔍 What You'll Actually Do

This is a high-ownership outbound role where your primary responsibility is to find potential data partners, start conversations with decision-makers, understand their data assets, qualify opportunities, and move relevant prospects toward the business development team.

Your day-to-day work can include LinkedIn outreach, WhatsApp, phone calls, email follow-ups, prospect research, qualification calls, and CRM management.

The expected outreach volume is approximately 30–50 contacts per day, targeting founders, CTOs, and senior operators at Indian startups, mid-sized companies, and digital platforms.

You will not simply follow a fixed script. The role requires you to listen carefully, respond to objections, and adapt the conversation depending on the prospect.

🧠 Finding Valuable Data Assets

One of the most important responsibilities is identifying organisations that possess potentially valuable proprietary data.

Examples include:

• Proprietary codebases

• Vernacular content libraries

• Audio archives

• Structured datasets

You will research companies, identify relevant decision-makers, and determine whether their assets could potentially be relevant to AI training and data licensing.

You will also need to understand whether the organisation has appropriate IP ownership and whether there is genuine interest in discussing a potential partnership.

📞 Qualification Calls

After establishing contact, you will conduct a focused qualification conversation.

The role describes these as personalised 10-minute qualification calls.

During the conversation, you may need to understand:

• What type of data asset the company owns

• What the asset contains

• Whether the company has the necessary IP ownership

• Whether the asset could be commercially relevant

• Whether the company is interested in continuing the discussion

• What the appropriate next step should be

Qualified opportunities are then handed over to the BD lead for further structuring and closing.

This is not a scripted customer-support role.

You should be comfortable when conversations move in unexpected directions.

📊 Managing Your Prospect Pipeline

You will be responsible for maintaining a clean record of every prospect and interaction.

The role specifically expects candidates to manage 50+ active prospects across different stages without losing track of follow-ups.

A typical workflow could look like:

flowchart LR
A[Research Company] --> B[Contact Decision Maker]
B --> C[Initial Conversation]
C --> D[Qualify Data Asset]
D --> E[Confirm Ownership]
E --> F[Assess Interest]
F --> G[BD Lead Handoff]

CRM discipline is therefore important. Every contact, conversation, outcome, and next step should be recorded accurately.

💬 Communication Skills Matter

Communication is one of the biggest requirements for this position.

LH2 AI Labs wants candidates who can communicate clearly and confidently in English and interact naturally with founders, CTOs, and senior operators.

The company also lists proficiency in a second Indian language as a strong preference, particularly:

Hindi • Kannada • Tamil

Professional WhatsApp communication is also useful because WhatsApp may be used for prospect follow-ups.

You should be able to explain an idea clearly without sounding like you are reading from a script.

🎯 Who They're Looking For

The company lists four important qualities:

Ownership
You should be comfortable managing the prospect journey from initial outreach through qualification and handoff.

Resilience
Cold outreach naturally involves rejection. You need to continue working consistently after unsuccessful calls.

Articulate communication
You should sound confident and professional when speaking with senior decision-makers.

Organisation
You need to manage a large number of active prospects and follow-ups without losing track.

Quick thinking and the ability to improvise during conversations are also important.

💼 Experience That Can Help

Previous sales experience is not mandatory.

However, the company has a strong preference for candidates who have internship or work experience in high-velocity inside sales environments such as:

Services • Fintech • Edtech • SaaS

Familiarity with the Indian startup ecosystem can also help.

For example, understanding what a CTO, codebase, startup, data asset, and licensing agreement are will make prospect conversations easier.

🤖 Do You Need AI Knowledge?

No.

Technical knowledge of AI or datasets is explicitly listed as not required. The company plans to train candidates on what it sells and why the underlying data is valuable.

This makes the role accessible to candidates who are stronger in communication, research, business development, and problem-solving than in technical AI concepts.

A basic understanding of AI data pipelines and data licensing can still help you learn the role faster.

📈 What You'll Learn

The position provides hands-on exposure to several areas of modern B2B business development.

You can develop practical experience in:

Outbound Sales: Finding and contacting potential partners.

Lead Qualification: Determining whether a prospect represents a meaningful opportunity.

Data Licensing: Understanding how proprietary datasets can become commercial assets.

CRM Management: Maintaining structured records throughout the prospect lifecycle.

Founder & CTO Communication: Speaking directly with senior decision-makers.

Market Intelligence: Understanding what types of data assets exist and what objections companies raise.

The company also mentions structured onboarding, outbound-sales and data-licensing training, direct mentorship from the core team, and performance-based growth.

📝 How To Prepare Your Resume

If you are applying as a fresher, your resume should not rely only on your degree.

Highlight experience involving:

Lead Generation • Communication • Prospect Research • Customer Interaction • Business Development • Sales Internships • CRM • Outreach • Market Research • Client Handling

If you have internship experience, quantify your work where possible.

For example:

Instead of:

Worked on lead generation

Use:

Researched and contacted prospective B2B clients through LinkedIn and email, maintaining structured lead records and follow-up status.

That gives recruiters a clearer picture of what you actually did.

🎤 Interview Preparation

Expect the interview to evaluate communication, ownership, adaptability, and commercial thinking.

Useful areas to practise include:

• Introducing yourself clearly in under one minute

• Explaining why you are interested in a GTM role

• Handling a prospect who says they are not interested

• Explaining what a CTO does

• Identifying the right decision-maker at a company

• Asking effective qualification questions

• Explaining how you would manage 50+ prospects

• Researching a company before making a cold call

• Responding naturally when a conversation goes off-script

A practical interview exercise could involve giving you a fictional company and asking how you would identify its potential data assets and approach the relevant decision-maker.

🏢 Work Environment

This is an on-site Bengaluru role with a strong focus on outbound activity, direct communication, and individual ownership.

You will work closely with the business development team and feed information from prospect conversations back into the broader sales process.

That market feedback can help the team improve targeting lists, calling scripts, objection-handling approaches, and outreach strategies.

🚀 Why This Role Is Different

LH2 AI Labs describes itself as building post-training infrastructure for frontier AI models and working with private, high-quality institutional datasets and vetted domain experts across areas such as coding, computer use, agentic systems, medical applications, audio, and more.

For an early-career candidate, this creates an unusual combination of B2B sales + data licensing + startup exposure + AI industry exposure.

The position is particularly relevant for someone who wants to develop commercial skills while working around the rapidly developing AI-data ecosystem.

🔑 Keywords for Resume

GTM • Business Development • Outbound Sales • B2B Sales • Lead Generation • Prospecting • Cold Calling • LinkedIn Outreach • CRM • Lead Qualification • Data Licensing • Data Assets • Intellectual Property • Market Research • Startup Ecosystem • Sales Pipeline • Objection Handling • Founder Outreach • CTO Outreach • Client Communication • Customer Relationship Management • Problem Solving • Communication Skills

💡 Final Career Takeaway

The GTM Analyst role at LH2 AI Labs is primarily a communication, prospecting, qualification, and pipeline-management position rather than a technical AI role.

Candidates who are confident speaking with people, comfortable with outbound outreach, organised with follow-ups, and able to adapt during conversations can be a strong fit. Previous sales experience and AI knowledge can help, but the company explicitly states that neither is mandatory because training is provided.