Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 12 hours ago

GTM Engineer

Showpad23 open roles

Where
Pune
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowGTM EngineerShowpad · Pune

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Showpad's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Showpad postings stay open a median of 40 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 12 hours ago

Showpad median: 40 days open

The posting

Summary: We are seeking a skilled GTM Engineer to join our dynamic team. This role plays a critical part in designing, building, and deploying AI agents and AI-enabled workflows, leveraging advanced technologies to drive business outcomes in a B2B SaaS environment. The ideal candidate will have a strong background in GTM processes, workflow automation, AWS, cloud engineering, and AI technologies.

Responsibilities:

  • Develop and implement end-to-end GTM strategies and processes within a B2B SaaS environment.
  • Create and optimize multi-system workflows and automations using REST APIs and event-driven integration patterns.
  • Design and deploy serverless applications and event-driven architectures using AWS services.
  • Build and integrate AI agents and workflows using Amazon, Claude/Anthropic models, and approved business systems.
  • Collaborate with stakeholders to translate business problems into effective technology solutions.
  • Ensure AI agents and workflows meet standards for accuracy, reliability, scalability, and security.
  • Contribute to the development of standards for AI agent lifecycle management and observability.

Required Skills:

GTM & Business Experience

  • 6+ years of experience working directly with GTM processes and systems in a B2B SaaS or technology environment.
  • Strong understanding of end-to-end Lead-to-Revenue and customer lifecycle processes.
  • Demonstrated understanding of Sales, Marketing, Customer Success, and Revenue Operations workflows.
  • Strong understanding of core SaaS commercial concepts and metrics.
  • Experience translating business problems into process and technology solutions.
  • Demonstrated ability to work directly with business stakeholders and challenge or refine requirements.
  • Experience working across multiple GTM platforms and understanding cross-system dependencies.

Workflow Automation & Integration

  • Strong understanding of REST APIs, webhooks, JSON, OAuth, authentication, and event-driven integration patterns.
  • Experience designing multi-system workflows and automations.
  • Experience with workflow orchestration technologies.
  • Ability to evaluate when low-code/no-code automation is appropriate versus custom development.
  • Experience with platforms such as Zapier, n8n, Workato, Make, Tray.io, or comparable technologies is beneficial but not required.
  • Experience with web scraping, browser automation, data extraction, or related technologies is beneficial.
  • Ability to quickly learn and evaluate emerging automation and data acquisition technologies.

AWS & Cloud Engineering

  • Hands-on experience with AWS Lambda and serverless application patterns.
  • Experience with AWS Step Functions or comparable workflow orchestration concepts.
  • Experience with Amazon EventBridge and event-driven architecture.
  • Experience with Amazon Bedrock or demonstrated experience building applications using foundation-model APIs.
  • Familiarity with API Gateway, CloudWatch, IAM, Secrets Manager, S3, queues, databases, and related AWS services.
  • Understanding of cloud security, permissions, monitoring, and production support practices.

AI Agents & Agentic Orchestration

  • Design, build, and deploy AI agents and AI-enabled workflows within the approved architecture.
  • Use Amazon and Claude / Anthropic models for reasoning, classification, summarization, research, recommendations, and decision support.
  • Build agentic workflows combining LLM reasoning with structured business data, APIs, deterministic rules, web-derived information, and approved tools.
  • Integrate agents with approved business systems and data sources through available APIs, connectors, and Model Context Protocol (MCP) capabilities.
  • Understand how to discover, configure, and use available MCP servers and tools within AI workflows.
  • Evaluate when an existing MCP capability can simplify access to a system or data source rather than building a custom integration.
  • Design prompts, context, structured outputs, tool/function calling, guardrails, and human-in-the-loop patterns.
  • Determine when deterministic workflow logic should be used instead of an LLM or agent.
  • Test agents and workflows for accuracy, reliability, security, latency, scalability, cost, and measurable business value.
  • Contribute to standards for agent permissions, observability, evaluation, and lifecycle management.

AI & LLM Technologies

Candidates should have hands-on experience with or strong practical knowledge of:

  • Claude / Anthropic and/or other leading foundation models
  • Prompt and context engineering
  • Structured outputs
  • Tool / function calling
  • Agentic workflows and AI orchestration
  • Model Context Protocol (MCP) concepts and use of MCP-enabled tools
  • Connecting AI workflows to approved systems and data sources
  • Retrieval-Augmented Generation (RAG) concepts
  • Human-in-the-loop patterns
  • Model and agent evaluation
  • AI observability
  • AI security, guardrails, data privacy, and responsible AI

Prior MCP experience is beneficial but not required. Candidates should be able to quickly learn and leverage MCP-enabled capabilities as part of AI and automation workflows.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Showpad's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Showpad's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Showpad's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.