Tech Lead Manager

About the Company

They build the marketing intelligence platform for the AI era. As buyers increasingly turn to ChatGPT, Perplexity, and Gemini to make purchasing decisions, they give brands the tools to understand how AI represents them, and the agents to act on it. Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, they work with ~13% of the Fortune 500 and are a lean, fast-moving team across NYC, SF, Buenos Aires, and London.

The Role

They're hiring a Tech Lead Manager to lead the Answer Engine Insights team in Buenos Aires. Answer Engine Insights is the core analytics product: it gives brands insight into how AI platforms represent them, who's winning in their category, and which sources are shaping those narratives. The team owns prompt management and execution across AI platforms at scale, response analysis (named entities, sentiment, accuracy extraction), and the data querying layer that powers dashboards, REST API, and MCP.

This is a hybrid role, roughly half technical leadership and architecture, half people management, hiring, and execution. You'll write code, review PRs, and own the hard decisions. You'll also grow engineers, run a tight planning process, and be the engineering point of contact when enterprise customers escalate.

What You'll Do

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Lead the Answer Engine Insights roadmap in partnership with the CTO, Head of Engineering, and product leadership

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Develop a team of 8–10 engineers: run interview loops, calibrate performance, set expectations clearly

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Drive technical decisions on LLM scrapers that run reliably at scale, high-cardinality data models across brands, prompts, regions and time, fine-tuned LLMs for structured sentiment and citation extraction, and a frontend that makes complex analytics feel fast

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Ship code yourself on the highest-leverage parts of the system

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Be the engineering point of contact when Answer Engine Insights issues escalate with enterprise customers

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Represent the team in conversations with sales, customer success, and executives when data coverage, platform integrations, or product capabilities affect commitments

Who You Are

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7+ years of backend engineering experience, with at least 2 years managing or tech-leading a team

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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 you can reason about the tradeoffs between latency, cost, and accuracy

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Experience scraping the web at scale: comfortable bypassing bot detection, working with mobile/residential proxies, and reverse engineering web systems

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Strong Postgres and Clickhouse skills, you can reason about indexes, query plans, time-series data models, and migrations on analytics-heavy workloads

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Experience building frontend analytics experiences — you know what makes a data product feel good to use

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Strong product sense for B2B SaaS: you understand what enterprise teams need from analytics products and can design beyond dashboards

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Experience hiring senior ICs and giving direct, useful feedback

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Comfortable being an IC contributor on the team you manage

Location

On-site in Buenos Aires. This role is designed for builders who thrive on speed, iteration, and meaningful impact.