Это руководящая роль с заметным влиянием в известной AI-компании, современным стеком данных и сильным пакетом льгот; широкий план работ и ожидание технической вовлеченности делают позицию требовательной.
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Широкая зона ответственностиСовременный стекСфера AIСильный пакет льгот
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Head of Data Foundation (AI): Leading the team responsible for Cohere’s governed data platform, including BigQuery warehousing, Airflow and Cloud Run orchestration, dbt modeling, Terraform infrastructure, and analytics delivery with an accent on reliability, security, and scalable data foundations. Focus on building the agentic analytics program, establishing evaluation harnesses, setting cross-company standards, and driving roadmap execution across engineering, security, legal, and business teams.
Location: Hybrid in Toronto, Montreal, Ottawa, New York, or San Francisco; Cohere also describes the role as remote-friendly.
Base salary: USA—California, New York, and Washington: $300,000–$350,000; USA—other states: $275,000–$320,000; Canada: $380,000–$450,000. Equity is offered.
Company
Cohere is a security-first enterprise AI company building foundation AI models and end-to-end products for real-world business problems.
What you will do
Build, hire, and lead the Data Foundation team, set the technical bar, develop talent, and build leadership capability.
Own and sequence the Data Foundation roadmap across the warehouse, agentic analytics, data governance, and platform initiatives.
Own the end-to-end data platform, including ingestion, Airflow and Cloud Run orchestration, BigQuery and dbt modeling, Looker, export APIs, semantic layers, and Terraform provisioning.
Define governed access for people, service accounts, and agents using VPC service controls, IAM patterns, audit logs, and documented onboarding paths.
Operate the reliability framework, including alerting, anomaly detection, data freshness SLAs, incident response, and postmortems.
Lead the internal analytics agent and evaluation harness, establish company-wide analytics standards, and partner with product, engineering, security, legal, and business insights teams.
Requirements
10+ years of experience across data engineering, data infrastructure, or analytics platform work, with a strong management track record leading data platform or infrastructure teams.
Hands-on data engineering or infrastructure experience before management, including the ability to read Terraform plans, dbt DAGs, and Airflow scheduler logs.
Production experience with cloud data warehouses such as BigQuery or Snowflake, workflow orchestration such as Airflow, and infrastructure as code such as Terraform.
Depth in data modeling, including fact and dimension tables, raw/core/mart separation, semantic layers, tests, and data contracts.
Experience setting team roadmaps from company or function strategy and delivering outcomes across teams.
Operational excellence demonstrated through trusted alerting, reliable SLAs, incident response, and effective postmortems.
Experience with data security and governance, including IAM, access management, VPC service controls or equivalent, audit, and compliance workflows.
Genuine interest in AI and enthusiasm for building the data foundation used by an AI company and its agents.
Comfort operating in ambiguity, leading a multi-workstream roadmap, and working directly with executives on priorities.
Culture & Benefits
Hybrid and remote-friendly work with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
Full health and dental benefits, including a separate mental-health budget.
RRSP matching, 401(k), and pension scheme.
100% parental-leave top-up for up to six months for either parent.
Six weeks of paid vacation, annual enrichment benefits, education and learning stipend, and a $500 home-office stipend.
Lunch stipend, co-working benefit for employees away from offices, travel budget for other offices, and an annual company offsite.
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