aistatisticstechnical supportapisa b testingzendeskintercomdata pipelinessdksdata warehouses
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$104к-157к/год
$90к$120кмедиана$130к
По похожим ролям (48) ~ $120к/год
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В Company hidden четко описана роль в известной продуктовой компании с работой над аналитикой, потоками данных и экспериментами; при оценке стоит учесть дежурства по выходным раз в квартал и три дня в офисе.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Technical Support Engineer (AI Analytics): Supporting enterprise customers by diagnosing product issues, resolving tickets, and improving adoption of an AI-powered digital analytics platform with an accent on data pipelines, statistical experimentation, and customer advocacy. Focus on debugging warehouse ingestion and data freshness problems, explaining statistical outputs, and partnering with Product and Engineering to improve support processes and documentation.
Location: New York City, United States; hybrid attendance required in the hirify.global New York office at least 3 times a week
Salary: $104,000–$157,000 base salary, inclusive of bonus or commission
Company
hirify.global provides an AI-powered digital analytics platform that helps companies capture trustworthy data, understand customer behavior, and improve digital product experiences.
What you will do
Answer, investigate, resolve, and escalate customer support tickets through email and chat.
Meet service-level agreements, including weekend on-call support once per quarter and voluntary holiday on-call support.
Work with Customer Success Managers to build data trust for key accounts and improve product adoption.
Create and maintain technical and non-technical product documentation.
Identify recurring customer questions and issues, report themes internally, and drive improvements.
Develop and improve support processes while collaborating with Product and Engineering.
Requirements
Bachelor’s degree.
Experience using SDKs and APIs, experimentation, statistics, or data science.
Experience in a similar customer-facing role or a strong ability to empathize with customers and advocate for them.
Experience with data pipelines or warehouse ingestion, including debugging data freshness and backfill issues in systems such as Snowflake, BigQuery, or similar.
Ability to interpret and explain statistical outputs to customers with varying levels of technical sophistication.
Ability to learn and explain technical products or concepts, solve problems, and communicate professionally and helpfully.
Familiarity with statistical experimentation concepts, including A/B testing, p-values, confidence intervals, and sequential testing methods such as SPRT.
Ability to reason through metric design issues, including outlier handling techniques such as winsorization and their effect on experiment results.
Familiarity with support tools such as Zendesk, Intercom, Confluence, and Linear; passion for analytics and the problems it solves.
Culture & Benefits
Values include humility, ownership, growth mindset, and customer centricity.
Medical, dental, and vision insurance, with fully employer-paid premiums on select plans, plus a 401(k) with employer match up to 1% of eligible pay and $2,000 annually.
Flexible time off, paid holidays, paid parental leave, fertility, adoption, surrogacy, and backup childcare support.
Wellness, commuter, learning and development, and home office equipment stipends, plus mental health support.
Employee Stock Purchase Program, mentorship, management training, wellness initiatives, charitable giving grants, and paid volunteer time off.
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