Samsara transport vositalari, uskunalar, ish maydonlari va mobil jamoalarni boshqaradigan tashkilotlar uchun o‘zaro bog‘langan operatsion texnologiyalarni ishlab chiqadi. Uning platformasi video asosidagi xavfsizlik, transport telematikasi, uskunalarni monitoring qilish, xodimlar uchun ilovalar, obyektlar ko‘rinuvchanligi, GPS, aktivlarni kuzatish, muvofiqlik bo‘yicha treninglar va real vaqt rejimidagi ogohlantirishlarni birlashtirib, jamoalarga operatsiyalarni muvofiqlashtirish va o‘z vaqtida olingan ma’lumotlar asosida harakat qilish imkonini beradi. Samsara logistika, transport, qurilish, sog‘liqni saqlash va davlat sektori kabi sohalarga xizmat ko‘rsatadi. Uning mahsulotlari kundalik ishni xavfsizroq, samaraliroq va barqarorroq tashkil etishni qo‘llab-quvvatlash uchun yaratilgan. Ish izlovchilar uchun kompaniya murakkab va geografik jihatdan tarqoq tashkilotlar hamda operatsion jamoalar foydalanadigan texnologiyalarga hissa qo‘shish imkoniyatlarini taqdim etadi.
Senior AI Data Analytics Engineer
Build Databricks data pipelines, semantic models, and AI agents for Samsara’s Connected Operations platform. Support marketing analytics and automate workflows across marketing and go-to-market teams.
Tavsif
- Shape the strategy and multi-quarter roadmap for the MDA data and AI foundation.
- Design and own marketing data infrastructure, including ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.
- Create semantic layers, data dictionaries, and documentation for self-service BI and conversational analytics.
- Work with BI to ensure sales and marketing KPIs rely on trusted, well-modeled data.
- Turn ambiguous questions from Marketing, Sales, and R&D into clear requirements and scalable solutions.
- Lead cross-team initiatives from start to finish, including data pipelines and integrations.
- Manage risks across dependent teams and take ownership of reliability and data quality.
- Provide senior technical leadership on complex problems, code reviews, engineering standards, and removing bottlenecks.
- Coach engineers and analysts.
- Develop AI-powered data products and agents, including integrations, retrieval pipelines, and evaluation practices.
- Take AI workflow automation for Marketing and go-to-market teams from concept through production.
- Deliver quality Python and SQL code while increasingly directing agentic coding tools.
- Review and validate AI-generated work before it reaches production.
- Promote Samsara’s cultural principles as the company expands globally and opens new offices.
Talablar
- Bring at least 8 years of experience in data engineering, analytics engineering, or AI engineering, with substantial hands-on data engineering work.
- Demonstrate expert-level Python and SQL skills.
- Have strong practical experience with data modeling and dbt.
- Bring deep knowledge of data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack.
- Have hands-on experience with Databricks or a comparable platform such as Snowflake or BigQuery.
- Have built semantic layers and structured documentation designed for AI ingestion and agentic workflows.
- Use agentic coding tools such as Claude Code or Cursor regularly.
- Be able to verify and take responsibility for AI-generated output.
- Have built, launched, evaluated, and monitored LLM or agent systems in production.
- Show a record of leading complex data initiatives across teams.
- Be able to gather requirements independently from technical and non-technical stakeholders.
- Have experience supporting Marketing, Sales, or Product teams.
- Preferred: experience with Databricks and AI agents in its ecosystem.
- Preferred: a software engineering background beyond data or AI engineering.
- Preferred: expertise in data visualization and dashboards for sales and marketing KPIs.
- Preferred: familiarity with CRM platforms such as Salesforce, marketing automation, web analytics, and MarTech tools.
- Preferred: experience with Streamlit, Claude workflows, or web frameworks.
- Preferred: background in data science, machine learning, or predictive analytics.
- Preferred: comfort working in exploratory settings and iterating on data sources and methods.
Imtiyozlar
- Initial RSU grant with no vesting cliff.
- Ongoing RSU refresh opportunities based on performance.
- Performance-based bonus or variable pay.
- Equity for eligible roles.
- Flexible, employee-led remote work model.
- Professional development stipend.
- Comprehensive health plans.
- Parental leave plans.
- Opportunities for above-market total compensation.
- Remote work support where consistent with operational needs.
- Access to offices for employees who prefer working in person.
- Reasonable accommodations throughout the hiring process.