Роль уровня Staff в топовой AI-компании с фокусом на передовых LLM-агентов. Единственный минус - базовая зарплата чуть ниже медианы рынка для такого грейда.
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Зарплата ниже рынкаПередовой стекТрендовый доменЧеткий scopeТоповая компания
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Hirify AI/Оригинал
TL;DR
Staff Software Engineer (Ads Measurement): Building scalable advertising data ingestion, normalization, aggregation, identity, and agentic workflow systems with an accent on ad platform integrations, measurement accuracy, and LLM-powered production systems. Focus on handling schema drift and restated data, evaluating noisy ground truth, designing privacy-preserving measurement infrastructure, and leading 0→1 development.
Location: New York City, New York, United States
Salary: $190,900–$253,750 USD per year, plus potential annual performance bonus, equity, and benefits.
Company
Databricks is a data and AI company providing a unified platform for data engineering, analytics, AI applications, and agents to organizations worldwide.
What you will do
Lead ingestion and normalization of advertising platform data at scale, including rate limits, schema drift, backfills, and restated figures.
Design aggregation and identity layers that make data from different advertising platforms comparable.
Lead the development of agentic workflows that parse, interpret, present, and act on campaign performance data.
Set standards for correctness and evaluation in a domain with noisy and partially observable ground truth.
Partner with product management, design, and engineering teams to build scalable, extensible solutions that support user and business growth.
Requirements
10+ years of engineering experience, including experience as a technical lead or leading other technical leads on complex enterprise software projects.
Hands-on experience with advertising platform APIs such as Meta, Google, Amazon, or TikTok, or equivalent advertiser, agency, or DSP experience.
Working knowledge of advertising data models, including campaign hierarchies, attribution windows, conversion APIs, and cross-source deduplication.
Familiarity with MTA, MMM, incrementality testing, and privacy-preserving aggregation.
Experience shipping LLM-powered systems to production, including evaluation and guardrails.
Strong technical and people leadership, ownership, collaboration, and ability to drive 0→1 projects from idea through launch and adoption.
Nice to have
Experience combining technical and people leadership, such as in a TLM role.
Experience building or operating measurement infrastructure at a platform, measurement vendor, or large advertiser.
Background in experimentation or causal inference.
Culture & Benefits
Comprehensive benefits and perks are offered, with details varying by region.
Potential annual performance bonus and equity eligibility.
Inclusive workplace committed to equal employment opportunity and diversity.
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