
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Tessera Labs is a vendor-agnostic, multi-agent AI systems integration platform that gives enterprises a single, unified view across their IT architecture. Pre-trained on thousands of enterprise landscapes and hundreds of years of business process expertise, Tessera adapts to each customer environment to harmonize systems and data and to enable secure, governed execution across ERP and other critical systems. The company emphasizes enterprise-grade governance and controls for regulated industries, accelerating time-to-value while evolving with new data and workflows, and is built on published AI research and patented technology.
🕒 September 11
Where this job comes from
Posted on Tessera Labs's careers page ↗, not through a job board
First seen by Remote Rocketship September 11
Still open on Tessera Labs's site. Checked 4 hours ago.

11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Tessera Labs is a vendor-agnostic, multi-agent AI systems integration platform that gives enterprises a single, unified view across their IT architecture. Pre-trained on thousands of enterprise landscapes and hundreds of years of business process expertise, Tessera adapts to each customer environment to harmonize systems and data and to enable secure, governed execution across ERP and other critical systems. The company emphasizes enterprise-grade governance and controls for regulated industries, accelerating time-to-value while evolving with new data and workflows, and is built on published AI research and patented technology.
• Build core data platform capabilities, including services and APIs for data access, query execution, ingestion, and synchronization • Build reusable connector frameworks and abstractions supporting different systems and access patterns • Identify bottlenecks in querying and data movement; apply partitioning, parallelism, and effective memory and storage management • Build orchestration, retries, checkpointing, and observability for reliable workload recovery and data correctness • Take capabilities from design to production • Work with product and engineering teams to define interfaces and make architectural tradeoffs • Operate the systems built
• At least 4+ years of experience as a Data Platform Engineer • Strong Python and SQL, with experience building maintainable, tested production software • Experience developing backend services, data infrastructure, or data platform components, beyond configuring pipelines • Solid understanding of relational databases, query optimization, data formats, and the tradeoffs between querying data in place and materializing it elsewhere • Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging • Ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs • Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure • Experience building connector libraries, developer-facing APIs, or shared platforms used by other engineering teams • Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code • Authorized to work in the U.S. for Tessera Labs
• Equity • High ownership, high impact, and direct influence on product direction • Collaborate with a deeply technical and customer-focused team
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