bem-posted 3 months ago
San Francisco, CA
1-10 employees

Hi! We're bem. We are building the infrastructure layer for modern enterprise workflows. For decades, the world's most critical industries, supply chain, insurance, financial services, and healthcare, have been hamstrung by unstructured data. Trillions of dollars in revenue and operational decisions are trapped in messy PDFs, complex emails, and endless spreadsheets. While the AI revolution has promised a solution, most offerings are flashy toys, not the dependable, high-accuracy systems that enterprises can actually trust. We are changing that. bem provides a new paradigm: an AI platform that automates the toughest, most unstructured enterprise workflows with a degree of accuracy and control that was previously impossible. We don't just extract data; we deliver reliable, trainable AI functions that can be orchestrated to automate entire end-to-end business processes. We are the trusted, operational infrastructure that turns chaos into structure. Backed by top-tier investors and pulled forward by compounding market demand, we are looking for a foundational member to help us build a generational company.

  • Architect Data Infrastructure: Design and build robust data pipelines that handle stochastic data with transactional guarantees.
  • Build Multi-Cloud Foundations: Deploy and manage infrastructure across AWS, Azure, and GCP.
  • Infrastructure as Code: Use Terraform (OpenTofu) and Pulumi to create repeatable, versioned, and auditable infrastructure.
  • Security-First Mindset: Foster a security-first culture that protects user data and reduces GTM friction.
  • Automate Everything: Apply a software engineering mindset to eliminate manual toil and build self-healing systems.
  • Collaborate and Educate: Work as an embedded expert within the engineering team, guiding best practices in reliability, scalability, and observability.
  • Data Engineering Expertise: Deep understanding of data systems, including schema design and evolution, CAP theorem tradeoffs in practice, stream processing and batch processing patterns.
  • Experience with modern data warehouses (e.g. Snowflake, Databricks, ClickHouse, or Motherduck) and relational database engines.
  • Multi-Cloud Proficiency: Hands-on experience with at least two major cloud platforms (AWS, Azure, GCP) and understanding their nuanced differences.
  • Infrastructure as Code: Proven experience componentizing and managing infrastructure through IaC tools.
  • Security Implementation: Practical experience with infrastructure security, including container security, network isolation, and meeting enterprise compliance requirements.
  • Networking Skills: Strong expertise in modern cloud networking concepts, including Virtual Network Design, VPC peering, VPN management and the implementation of Zero Trust principles.
  • Software Engineering Foundation: Strong coding skills and ability to build tools, not just configure them.
  • Experience with GPU compute infrastructure and ML model serving.
  • Familiarity with edge computing and hybrid cloud architectures.
  • Background in high-throughput, low-latency systems.
  • Experience with observability platforms and distributed tracing.
  • Contributions to open-source infrastructure projects.
  • Work directly with founders & leadership on high-impact, strategic projects.
  • Competitive compensation, including early equity.
  • Hybrid work environment (3 days in-office) with flexibility to balance work and life.
  • Be part of a fast-moving, high-growth startup backed by top investors.
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