GTM Engineer

Keka Technologies Private Limited

Dadri

On-site

INR 1,200,000 - 1,800,000

Full time

10 days ago
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Job summary

Keka Technologies Private Limited is seeking a hands-on GTM professional to own revenue outcomes. You will own experiments, build systems, and drive campaigns that convert. The role blends product-like build with demand-generation, leveraging Claude or Codex in production to optimize outreach and measurement.

You will design scoring models, write compelling copy, and orchestrate multi-channel programs that push accounts through the funnel toward measurable pipeline and revenue growth.

Qualifications

  • Experience using Claude or Codex in production systems.
  • Strong GTM and ABM capabilities.
  • Ability to map buying groups and build scoring models.
  • Proven copywriting that converts and drives demand.

Responsibilities

  • Build lead scoring models using real account signals and tech stack data.
  • Run outbound sequences, LinkedIn ads, landing pages, and gifting campaigns to generate pipeline.
  • Create and ship an orchestration layer connecting outbound tools into a single flow.
  • Design and run campaign experiments with clear hypotheses and success metrics.
  • Develop a live pipeline dashboard showing accounts touched, meetings, and opportunities.

Skills

Claude/Codex usage
GTM strategy
ABM
B2B SaaS workflow automation

Job description

You can ship a working app by the end of day. You can also write an email that gets a CTO to reply. Both. Not one or the other.

Building systems that work & writing copy that converts — that's where we want you. Systems like lead scoring, custom pre-sales pitches, personalised demos, built using Claude. Copy that runs through them — emails, ads, landing pages, demo offers — every word measured back to one number: Net New Revenue.

If you've been waiting for a role where building and selling are the same job, this is the one.

What This Role Actually Is:

Title says GTM. Reality is closer to Entrepreneur-in-Residence — someone who owns a revenue number and does whatever it takes to hit it. No playbook handed to you. No team to hide in. You move fast, run experiments, kill what doesn't work, and double down on what does.

One week you're building a lead scoring model. The next you're writing a cold email sequence. The week after that you're testing whether a personalised gift to five target accounts breaks through where email didn't. You treat every channel as a hypothesis and every campaign as a data point.

The constraint isn't budget or headcount. It's imagination and execution speed. Both are yours to control.

What You'll Drive Revenue:

50% building systems. Wire mature tools — Apollo, Clay, HubSpot — into a motion they weren't designed for out of the box. Custom scoring logic. Personalisation that uses real account signals. Dashboards that show pipeline, not activity. You build the last mile that makes the whole stack work. Build what's missing, use what exists, ship only what's needed. Every system compounds — smarter and faster with every cycle.

50% running the program. Outbound sequences. LinkedIn ads. Landing pages. Demo offers. Gifting campaigns. Micro-events. Whatever gets the right person into a conversation. You generate the ideas, write the copy, run the experiment, and measure it back to sales-qualified accounts and pipeline. No channel is off limits if it moves the number.

What You'll Ship:
  • Orchestration layer: Custom code — Claude and Codex — connecting the outbound stack into one motion. You decide what to build vs. what to buy. That judgment is the job.
  • Lead scoring model: Intent signals, tech stack data, firmographic signals in. Prioritised account list out. Gets better every cycle as you feed it results.
  • Personalisation engine: Public signals per account — announcements, job postings, tech changes — turned into first-touch copy variants per persona. No manual research for accounts that made the list.
  • Campaign experiments: Cold email, LinkedIn ads, gifting, micro-events, co-branded content, whatever the cycle calls for. Each one has a hypothesis, a metric, and a kill threshold.
  • Pipeline dashboard: Accounts touched - responses - meetings - opportunities. Live. No one has to ask you for the numbers.
What We're Looking For:
  • Shipped working apps using Claude or Codex. Actual code, in production, running without you watching it. You can show it.
  • Knows when to build and when to buy. Doesn't rebuild what exists, doesn't buy what needs to be custom.
  • Builds and deploys independently. No engineering handoff. No waiting on a dev.
  • Systems have inputs, outputs, and failure handling. Knows what breaks and what to do when it does.
Copy that sells — strong preference
  • Writes copy that earns attention and drives action, not copy that describes a product. Every line has a job.
  • Emails get replies because they're specific. Landing pages convert because they handle the objection before it's raised. Ads stop the scroll because they say something true.
  • Can build a full campaign from scratch — email, ad, landing page, demo offer — and explain the conversion logic behind every element.
Conversion optimization and ABM — good to have
  • Understands account selection, buying group mapping, sequence architecture. Has measured work in pipeline, not open rates.
  • Has sequenced a buying group: different messages for champion, technical evaluator, economic buyer.
  • Has run structured conversion experiments and used the results to decide what to kill.
Hiring Process:
Round 1 — Structured Screen with HR (10 min)

Five questions. No prep needed. We want to hear about a system you built using Claude or Codex, copy you wrote that converted, and a campaign experiment that taught you something. One hard disqualifier: no working app to show.

Round 2 — 90 min with GTM Lead (discussion + live build)
30 min discussion:

The system you built and the copy that worked — specifics, not theory. Show us the tool. Walk through the copy and why it converted.

60 min live build (brief sent 24h before, screen shared):

You pick a B2B SaaS product you know well. We will give you an account list. Using Claude or Codex alongside whatever tools you'd normally reach for, you build end-to-end: map the buying group, build a scoring model with evals, write the copy for the full funnel — email, LinkedIn ad, landing page, demo upsell offer. We're watching how you decide what to build vs. use, whether your copy earns attention or fills space, and how the funnel holds together.

Round 3 — Culture and Fit (30 min)

A conversation with the broad team. We're looking for someone who is direct, high-energy, and thrives without a playbook.

Required Skills

Claude GTM Strategy Account Based Marketing B2B Workflow Automation

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