---
title: 'GTM Engineer at Showpad'
canonical: 'https://feeny.ai/job/gtm-engineer-showpad-pune-8q05ymw3wn72'
type: 'job'
last_seen: '2026-10-28'
---

# GTM Engineer at Showpad

- **Company:** Showpad
- **Location:** Pune, India
- **Posted:** 2026-10-23
- **Last confirmed live:** 2026-10-28
- **Apply:** https://job-boards.greenhouse.io/showpad/jobs/8319730

## Job description

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.

## About Showpad

## Company Overview
- **One-liner**: Showpad provides an AI-native revenue effectiveness platform that unites content management, sales readiness, buyer engagement, and analytics for field-selling organizations.
- **Entity Type**: Private (Acquired by Vector Capital and merged with Bigtincan in 2025)
- **Headquarters**: Dual-headquartered in Chicago, Illinois (USA) and Ghent, Belgium
- **Founded**: 2011
- **Founders**: Not publicly available (founded in Ghent, Belgium)

## Core Business
- **Primary industry**: Revenue Enablement, Sales Technology, Content Management, AI-Powered Sales Platforms
- **Target customers**: B2B, Enterprise, field-selling organizations in regulated and complex industries
- **Mission or purpose statement**: To empower revenue teams to sell smarter, faster, and together by connecting the human side of field selling with the intelligence of AI.

## Products & Services
- **Showpad Platform (GenieAI-powered)**: An AI-native revenue effectiveness platform that combines content management, sales readiness training, buyer engagement tools, and analytics. The platform is designed for field sellers and includes GenieAI, an engine that provides verified content, real-time coaching, and actionable insights.
- **Sales Readiness**: Tools for learning, practice, and real-time coaching to prepare sellers for customer conversations.
- **Content Management**: A content engine that delivers the right spec sheets, pricing, and proof points to sellers to close deals.
- **Buyer Engagement**: Features that bring physical products to life with digital demos and collaborative deal rooms to keep buying committees engaged.
- **Analytics & Insights**: Question-based analytics (Analytics AI) that allows users to ask natural language questions to surface data and identify patterns behind top performers and high-converting content.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company, acquired by Vector Capital)
- **Key Metric**: Over 2,000 global companies rely on Showpad; customers in 50+ locations; employees in 7 countries
- **Notable Investors/Partners**: Vector Capital (acquired Showpad and merged it with Bigtincan in 2025)
- **Growth Signals**: Named a Leader in the 2025 Gartner® Magic Quadrant™ for Revenue Enablement Platforms; recognized as a Customers’ Choice in Revenue Enablement platforms by the Gartner® Peer Insights™ report; named a Leader in the Forrester Wave™ for Sales Readiness and Revenue Enablement Solutions; launched GenieAI and multiple AI features including Showpad Assist (an AI agent for field sales) and Analytics AI.

## Competitive Advantages
- **AI-native platform**: GenieAI is purpose-built for field-selling, using trusted first-party data to provide verified content, real-time coaching, and insights.
- **Category creator**: Showpad defined the "revenue effectiveness" category and is positioned as a standard for complex, field-selling organizations.
- **Merger with Bigtincan**: The combination of Showpad and Bigtincan (both acquired by Vector Capital) created a larger, more comprehensive platform with a global footprint.
- **Focus on regulated industries**: Accuracy and verified content are critical differentiators for companies in regulated sectors.
- **75+ pre-configured integrations and open API**: Flexibility to fit into existing workflows.

## Strategic Focus
- **AI-first innovation**: Continued investment in AI features like GenieAI, Showpad Assist, and Analytics AI to streamline seller workflows and improve revenue outcomes.
- **Field-selling specialization**: Deep focus on the needs of field sellers and complex B2B sales cycles, differentiating from general sales enablement tools.
- **Global expansion**: Dual headquarters in Chicago and Ghent, with offices in London, Bucharest, and Pune, India, and a presence in 7 countries.

## Why Work Here
- **Culture**: Emphasizes transparency, inclusion, and innovation. Described as a safe, welcoming, and inspiring environment where employees can realize their full potential.
- **Global & diverse team**: 1,675+ employees (Showpadders) representing 50+ nationalities, with offices in the US, Belgium, UK, Romania, India, and Australia.
- **Benefits**: Robust medical and mental health resources, transportation benefits, financial savings options, generous leave policy, and equitable reward policies (performance-based and spotlight rewards).
- **Learning & development**: Strong focus on growth with learning and development resources.
- **Work environment**: Hybrid/office presence across multiple global locations. The company values work-life balance ("We love our work. But there’s more to life.").
- **Engineering culture**: Opportunities for engineers to work on a modern AI-native platform with a focus on data intelligence, knowledge graphs, and product management.

## Sources
1. [showpad.com](https://www.showpad.com/)
2. [showpad.com/careers](https://www.showpad.com/careers)
3. [showpad.com/about-us](https://www.showpad.com/about-us)
4. [showpad.com/company/about-us/our-history](https://www.showpad.com/company/about-us/our-history)
5. [job-boards.greenhouse.io/showpad](https://job-boards.greenhouse.io/showpad)

## Other roles at Showpad

- [Software Engineer, Backend, Sales Content Management](https://feeny.ai/job/software-engineer-backend-sales-content-management-showpad-ghent-1gxaskg0qyh8) — Ghent, Belgium
- [Senior Engineer, CloudOps](https://feeny.ai/job/senior-engineer-cloudops-showpad-ghent-7ze3154z0tgq) — Ghent, Belgium
- [GTM Project Manager](https://feeny.ai/job/gtm-project-manager-showpad-pune-jy7xhg1evp7m) — Pune, India
- [AI Engineer](https://feeny.ai/job/ai-engineer-showpad-bucharest-t8rgfbyq9dzn) — Bucharest, Romania
- [Senior SecOps Engineer](https://feeny.ai/job/senior-secops-engineer-showpad-pune-p7nccmftmx9f) — Pune, India
- [Associate Consultant](https://feeny.ai/job/associate-consultant-showpad-pune-mx3x6azp9bcv) — Pune, India
- [Business Development Representative](https://feeny.ai/job/business-development-representative-showpad-chicago-3wecaxrvq8ah) — Chicago, IL
- [Account Manager, Enterprise](https://feeny.ai/job/account-manager-enterprise-showpad-london-pmz1yzvc7gya) — London, United Kingdom
- [Software Engineer, Backend](https://feeny.ai/job/software-engineer-backend-showpad-bucharest-2c02fr6ny5nc) — Bucharest, Romania
- [Business Development Representative](https://feeny.ai/job/business-development-representative-showpad-london-85ztrx6d3wdb) — London, United Kingdom