2 дня назад
Founding Engineer (AI)
195 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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