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About CloudWalk: We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically. This is not a traditional Sales, SDR, RevOps or AI consulting role. We are looking for an AI-native builder to create, from zero, an outbound sales factory powered by AI agents — from data ingestion and lead enrichment to outreach, qualification, human handoff and learning loops. Your mission is to prove that outbound can become a repeatable, measurable and scalable acquisition channel for SMB merchants. You will combine AI agents, Python, SQL, experimentation, GTM strategy and deep customer understanding to build a system that finds the right merchants, approaches them with relevant context, learns from real conversations and hands off qualified opportunities to humans at the right moment. You will own the problem end-to-end: architecture, data, agent behavior, campaigns, funnel metrics, feedback loops and scale/kill decisions. What You'll Do Build AI agent workflows for outbound sales, including lead qualification, outreach, response handling, performance monitoring and human-in-the-loop handoff. Connect data enrichment, lead scoring, campaign queues, CRM workflows and feedback loops into a repeatable operating system. Use Python, SQL and APIs to build tools, integrations and automations. Work with BigQuery and CRM data to define ICPs, segment leads, score merchants and monitor funnel performance. Run GTM experiments with clear hypotheses, control groups, metrics and kill/scale criteria. Create contextual outbound journeys using merchant data, local proof points and business relevance. Collaborate with Sales, Growth, Data and Operations to turn field feedback into system improvements. Document prompts, specs, playbooks, experiments and learnings. What You Need to Succeed Hands-on experience building AI agent workflows or advanced LLM automations. Strong Python skills. Strong SQL skills, ideally with BigQuery. Experience with OpenAI, Claude, Cursor or similar AI development tools. Experience with orchestration tools such as LangGraph, n8n plus Python, or equivalent systems. Understanding of outbound/GTM mechanics: ICP, segmentation, cadence, funnel, conversion metrics and sales handoff. Ability to work with messy lead data, enrichment, scoring, deduplication and data quality issues. Strong ownership and builder mindset. Ability to communicate clearly in Portuguese and English. Nice to Have Experience with sales automation, RevOps, growth engineering or lead generation systems. Experience integrating CRM systems with data pipelines and AI workflows. Familiarity with fintech, payments, acquiring or SMB sales. Experience designing guardrails, evaluations or anti-hallucination mechanisms for AI systems. The Future We See: At CloudWalk, we envision a future where AI empowers every field to reach new heights: People teams leveraging AI to transform talent acquisition and employee development. Marketing professionals creating data-driven, AI-powered campaign strategies. Customer Success teams enhancing client experiences with intelligent solutions. Risk analysts combining human expertise with AI to navigate complexities. Designers collaborating with AI to push creative boundaries. Join us at CloudWalk, where we're not just engineering solutions; we're building a smarter, AI-driven future for payments—together. By applying for this position, your data will be processed as per CloudWalk's Privacy Policy.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.