Tech Lead Manager - AEI, Argentina

Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage. We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run. We are hiring a Tech Lead Manager to lead our Answer Engine Insights team in Buenos Aires. Answer Engine Insights is Profound's core analytics product, which gives brands insight into how AI platforms represent them, who's winning in their category, and which sources are shaping those narratives. This is the team that decides how we collect and analyze AI model responses at scale, how we extract competitive signals, how we model visibility/sentiment/accuracy over time, and how we surface all of it in a fast, reliable product experience. The work is high-leverage, deeply cross-functional, and directly tied to revenue. This is a hybrid role. You'll spend roughly half your time on technical leadership and architecture, and half on people management, hiring, and execution. We expect you to write code, review PRs, and be in the details on critical decisions. We also expect you to grow engineers, run a tight planning process, and own outcomes for the team. The Answer Engine Insights team owns prompt management and execution (the systems that run prompts across ChatGPT, Gemini, Perplexity, etc. at scale, including configuration, scheduling, and scraping); response analysis (the analytics layer that extracts named entities, sentiment, and accuracy from LLM responses); and data querying (the query layer responsible for efficiently fetching and aggregating data via dashboards, REST API, and MCP). WHAT YOU'LL DO - Lead the Answer Engine Insights roadmap, partnering with the CTO, Head of Engineering, and product leadership on priorities - Develop a team of 8-10 engineers, including running interview loops, calibrating performance, and setting expectations clearly - Drive technical decisions on hard problems: LLM scrapers that run reliably at scale across multiple AI platforms, data models that handle high cardinality analytics across brands, prompts, regions, models, and time, Fine-tuned LLMs to power the inference that surfaces structured sentiment and citation signals from unstructured AI responses, and a frontend that makes complex analytics feel fast and intuitive - Ship code yourself on the highest-leverage parts of the system - Be the engineering point of contact for enterprise customers when Answer Engine Insights issues escalate - Represent Answer Engine Insights in conversations with sales, customer success, and the executive team when data coverage, platform integrations, or product capabilities affect commitments WHO YOU ARE - 7+ years of backend engineering experience, with at least 2 years managing or tech-leading a team - Deep, hands-on experience with data pipelines and analytics infrastructure; you've built systems that ingest, process, and aggregate large volumes of structured and semi-structured data and can reason about the tradeoffs between latency, cost, and accuracy - Experience scraping the web at scale; you are comfortable bypassing bot detection, working with mobile/residential proxies, and reverse engineering web systems - Strong product sense for B2B SaaS; you understand what enterprise teams need from analytics products and can design experiences that go beyond dashboards to drive action - Strong Post