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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Analytics, Data Scientist - **Company:** Farsight AI, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $130,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Standard Sql, SQL Databases, Usage Analysis, HuggingFace, Data Analytics - **Published:** June 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=019e7fd1eb8d5c36 ## About the Role Do you have experience in SQL?, * 3+ years in product analytics, data science, or a related quantitative role * Strong SQL and Python skills - you can get your own data without waiting on an engineer * Experience translating data into clear narratives for non-technical stakeholders * Comfort working in ambiguous, fast-moving environments with limited existing infrastructure * Curious, self-directed, and energized by building from scratch * Bonus: experience in financial services, AI products, or early-stage startups ## Description Our team has had a wide range of experience that uniquely equips us to capture this massive opportunity. Our team comes from leading financial institutions like Evercore, General Atlantic and Menlo Ventures, supercharged by scalable engineering and AI skills from companies including Amazon, Hugging Face and the MIT Media Lab. We've learned the ins and outs of building successful startups from previous work as founders and founding engineers. We focus on hiring the best so that we can become the best, so we hope you apply! We are entirely based in Manhattan, New York City, and are in-person 4 days a week (except Fridays, which are remote). The Role This is Farsight's first Product Analytics hire. A high-impact, cross-functional role sitting at the intersection of product, engineering, and strategy. Early on, you'll work closely with the strategy team to synthesize customer feedback and usage patterns into clear, actionable insights. Over time, your work will directly shape product priorities and engineering decisions as we scale. This is a role for someone who is as comfortable talking to customers as they are writing SQL and gets energized by turning ambiguous data into clear direction. What You'll Do * Synthesize customer feedback, usage data, and behavioral signals into product insights * Build dashboards and reporting infrastructure that surface what's working and what isn't * Partner with the strategy team early on to understand and quantify customer pain points * Define and track the metrics that matter for an agentic AI product - including non-deterministic outputs * Inform product roadmap and engineering priorities with data-driven recommendations * Build the analytics foundation that scales with the product and team ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)