Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Мало
$77к-116к/год
$90к$120кмедиана$160к
По похожим ролям (50) ~ $120к/год
На СНГ рынке: $1.4к/мес ($1.2к - $1.6к)
72
Хорошая вакансия
развернуть
Технически очень интересная роль по созданию AI-агентов в известной компании, хотя базовая зарплата ниже рыночной медианы для такого уровня экспертизы в AI.
Кликните для подробной информации
Низкая зарплатаПередовой стекТрендовый доменПонятный scopeПотенциал роста
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Sales Intelligence Analyst (AI/Sales Intelligence): Building conversational AI agents and governed data products that let sales leaders query revenue, pipeline, bookings, discounting, and territory data in natural language, with an accent on LLM applications, semantic models, data pipelines, and enterprise integrations. Focus on designing agent components, grounding responses through retrieval and vector search, evaluating quality and faithfulness, and translating ambiguous sales needs into reliable technical solutions.
Location: Seattle, WA; remote employees are not being considered. The position is marked hybrid.
Annual base pay: $77,400–$116,200.
Company
hirify.global develops cybersecurity and application delivery solutions that help organizations create, secure, and run applications.
What you will do
Partner with Sales Operations, Finance, IT, sales leadership, and engineering to translate business questions into AI agents, tools, and semantic model extensions.
Build and maintain conversational AI agents for revenue, pipeline, bookings, discounting, and territory analysis.
Integrate enterprise AI platforms with SharePoint, Salesforce, Snowflake, Databricks, and BigQuery using agent frameworks such as ADK.
Develop YAML semantic models, retrieval pipelines, vector search indexes, data pipelines, embeddings, and evaluation datasets.
Evaluate agent quality, routing accuracy, response faithfulness, and regression test cases while supporting security reviews and production deployments.
Enable sales users through documentation, demos, onboarding, office hours, and day-to-day support.
Requirements
BA/BS degree required in Computer Science, Data Science, Statistics, Finance, Business Administration, or a related field.
2–3 years of professional experience in data analytics, data engineering, analytics engineering, or applied AI/ML; equivalent coursework, research, internships, or substantial personal AI projects may be considered.
Hands-on LLM experience, including prompt engineering, tool use or function calling, and retrieval-augmented generation, gained professionally, academically, or through a substantive personal project.
Exposure to at least one agent framework, including Google's Agent Development Kit, LangGraph, LangChain, Vertex AI Agent Builder, or Snowflake Cortex Agents.
Working knowledge of enterprise AI and data governance, including access controls, PII handling, and responsible AI practices, or clear eagerness to learn.
Solid SQL skills and experience with a cloud data warehouse such as Snowflake, BigQuery, or Databricks.
Python proficiency for data work and API integrations.
Familiarity with Google Cloud or Microsoft Azure and experience with data visualization tools such as Tableau, Power BI, or Looker.
Strong written and verbal communication, presentation, documentation, listening, collaboration, and problem-solving skills; ability to explain complex AI concepts to non-technical audiences.
Experience with Microsoft Office and collaborative tools such as SharePoint and Teams.
Nice to have
Coursework or academic projects in AI, machine learning, or applied LLM systems.
Familiarity with full-stack development using FastAPI, Next.js, or similar.
Experience with CRM or enterprise business data, including Salesforce opportunity, forecasting, or territory data.
Experience supporting a sales, revenue operations, or comparable go-to-market organization.
Culture & Benefits
Hybrid position based in Seattle; remote employees are not being considered.
Collaborative work across sales, operations, finance, IT, engineering, and security functions.
Benefits may include incentive compensation, bonus, restricted stock units, and other employee benefits.
hirify.global provides equal employment opportunities and reasonable accommodations during the application process.
Hiring process
hirify.global contacts candidates only through an hirify.global email address ending in @hirify.global.com or automated Workday notifications ending in hirify.global.com or @myworkday.com.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →