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2 дня назад

Founding Engineer (AI)

195 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Founding Engineer (AI): Building production data pipelines, account-scoring jobs, real-time risk-triage services, campaign audience syncs, and AI workflows for a customer-success platform with an accent on data reliability, automation, and model operations. Focus on deploying scheduled and webhook-driven services, routing customer-risk events to automated or human follow-up, and engineering AI workloads for cost and reliability.

Location: Boston, MA; hybrid

Salary: OTE up to $195K annually; actual salary depends on job-related skills, experience, and location.

Company

hirify.global provides an AI code review platform for software development teams and open-source projects.

What you will do

  • Build scheduled pipelines integrating billing, product telemetry, support, and CRM data into the data warehouse.
  • Develop a nightly account-scoring job that classifies accounts and detects meaningful changes.
  • Build and operate a real-time service that triages account-risk events and routes them to automated or human follow-up.
  • Implement campaign audience synchronization with experiment controls, reporting views, digests, and internal-console data layers.
  • Develop AI workloads for classification, extraction, and drafting with a focus on cost and reliability.
  • Ship the initial pipelines, scoring job, and triage service, including validation, alerting, runbooks, and measurement controls.

Requirements

  • 4+ years of experience in data, analytics, or backend engineering.
  • Production data warehouse experience with SQL, dbt or similar, and Python.
  • Experience building and operating scheduled pipelines and webhook-driven services in production.
  • Experience taking products from development through deployment and operating them for real users.
  • Hands-on experience with customer-success tooling, CRM, marketing automation, support systems, revenue data, or billing data.
  • Deep experience designing, deploying, and operating AI workflows and models in production.

Nice to have

  • AI cost and reliability engineering involving caching, batching, structured outputs, and model routing.
  • Experience building internal tools used daily by a team.

Culture & Benefits

  • Work in a fast-moving, well-funded company focused on measured results.
  • Ship on a weekly cadence against a written roadmap.
  • Use control groups, source-labeled metrics, and auditable reporting rules.
  • Collaborate directly with a hands-on technical Director who builds the front end.

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