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Samsara
Samsara
1,001 – 5,000 कर्मचारी
H1B वीज़ा प्रायोजकनिर्माणलॉजिस्टिक्सस्वास्थ्य सेवा
Samsara उन संगठनों के लिए कनेक्टेड ऑपरेशंस तकनीक विकसित करती है जो वाहनों, उपकरणों, कार्यस्थलों और मोबाइल टीमों का प्रबंधन करते हैं। इसका प्लेटफ़ॉर्म वीडियो-आधारित सुरक्षा, वाहन टेलीमैटिक्स, उपकरण निगरानी, कार्यबल अनुप्रयोगों, साइट दृश्यता, GPS, परिसंपत्ति ट्रैकिंग, अनुपालन प्रशिक्षण और रीयल-टाइम अलर्ट को एक साथ लाता है, ताकि टीमें संचालन का समन्वय कर सकें और समय पर उपलब्ध डेटा के आधार पर कार्रवाई कर सकें। Samsara लॉजिस्टिक्स, परिवहन, निर्माण, स्वास्थ्य सेवा और सरकारी क्षेत्रों सहित कई उद्योगों को सेवाएँ प्रदान करती है। इसके उत्पाद रोज़मर्रा के काम को अधिक सुरक्षित, कुशल और टिकाऊ बनाने में मदद करने के लिए तैयार किए गए हैं। नौकरी तलाशने वालों के लिए, कंपनी जटिल और विभिन्न स्थानों पर फैले संगठनों तथा परिचालन टीमों द्वारा उपयोग की जाने वाली तकनीक में योगदान देने के अवसर प्रदान करती है।
LinkedIn
कंपनी की नौकरियाँ

Senior AI Data Analytics Engineer

Shape Samsara’s marketing data and AI foundation by building Databricks pipelines, semantic models, and AI agents. Enable trusted analytics and workflow automation across its connected operations platform.

USसंयुक्त राज्यTXटेक्सास
$1,37,445 – $2,31,000 / वर्ष
रिमोटपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीएनालिटिक्स इंजीनियर
BigQueryETLPythonSQL

विवरण

  • Help set the strategy and roadmap for Marketing Data and Analytics’ data and AI foundation.
  • Build and own marketing data infrastructure, including ETL/ELT pipelines, Databricks Gold Layer tables, and core 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 unclear questions from Marketing, Sales, and R&D into defined requirements and scalable solutions.
  • Lead complex cross-team work 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 direction on complex problems, code reviews, engineering standards, and bottleneck removal.
  • Mentor engineers and analysts.
  • Develop AI-enabled data products and agents, including integrations, retrieval pipelines, and evaluation practices.
  • Automate manual workflows with AI for Marketing and go-to-market teams, from concept to production.
  • Deliver high-quality Python and SQL, increasingly directing agentic coding tools.
  • Review and validate AI-generated work before it reaches production.
  • Promote and put Samsara’s cultural principles into practice as the company expands globally and opens new offices.

आवश्यकताएँ

  • Bring 8+ years of experience in data engineering, analytics engineering, or AI engineering, including 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 comparable platforms such as Snowflake or BigQuery.
  • Have experience creating semantic layers and structured documentation designed for AI ingestion and agentic workflows.
  • Use agentic coding tools such as Claude Code or Cursor regularly, and take responsibility for verifying their output.
  • Have experience building, launching, evaluating, and monitoring LLM or agent systems in production.
  • Show a record of leading complex data initiatives across teams.
  • Gather requirements independently from technical and nontechnical stakeholders.
  • Have supported Marketing, Sales, or Product teams.
  • Experience with Databricks and building AI agents in its ecosystem is preferred.
  • A software engineering background beyond data or AI engineering is preferred.
  • Expertise in data visualization and dashboards for sales and marketing KPIs is preferred.
  • Familiarity with CRM platforms such as Salesforce, marketing automation, web analytics, and MarTech tools is preferred.
  • Experience with Streamlit, Claude workflows, or web frameworks is preferred.
  • Experience in data science, machine learning, or predictive analytics is preferred.
  • Be comfortable testing and refining new data sources and methods.
  • Be able to secure and maintain the legal right to work for the company in the specified work location.

लाभ

  • Receive an initial RSU grant with no vesting cliff.
  • Access ongoing equity refresh opportunities based on performance.
  • Earn performance-based bonus or variable pay.
  • Work remotely under a flexible, employee-led model.
  • Receive a professional development stipend.
  • Choose from comprehensive health plans.
  • Access parental leave plans.
  • Pursue above-market total compensation opportunities.
  • Receive remote work support where operational requirements allow.

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