Data Acquisition Engineer
Location: Palo Alto, CA
Department: Business Development
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Build automated pipelines and AI-driven workflows to discover and evaluate new raw data sources
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Design and implement internal tooling for supplier tracking, scoring, and performance management
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Experiment with scraping, APIs, enrichment tools, and automation platforms to increase sourcing efficiency
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Aggressively identify and outreach to new data suppliers across global markets
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Evaluate supplier quality, reliability, and scalability in partnership with internal teams
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Manage ongoing vendor relationships, ensuring quality, cost, and delivery standards are met
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Track supplier performance using quantitative metrics and continuously improve processes
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Collaborate cross-functionally with Data Engineering, Research, Product, GTM, Legal, and Finance to align supply with business needs
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Support commercial discussions and contract processes with guidance from leadership
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Build scalable systems that increase data throughput without increasing headcount
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Strong technical foundation (engineering, data, scripting, automation, or systems building)
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Experience building projects, tools, or pipelines from 0→1
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Comfortable using AI-native tools (e.g., LLM agents, Cursor, automation platforms, workflow builders)
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High ownership mindset with the ability to operate independently in ambiguous environments
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Strong written and verbal communication skills
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Interest in AI, machine learning, and data infrastructure
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Growth-oriented mindset with bias toward experimentation and rapid iteration
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Experience in startup or high-growth environments preferred
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Exposure to data pipelines, scraping, APIs, or automation workflows is a strong plus
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Prior vendor management experience is not required
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