Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more.
Our mission is to bring real AI automation to the enterprise—delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI.
We're backed by Andreessen Horowitz and Foundation Capital, and built by leaders from Meta AI, Google Research, Microsoft AI, SAP, Oracle, and Salesforce. We move fast, operate with extreme ownership, and build at the frontier of applied AI. Our ethos in one line: enterprise serious, AI forward.
About the roleWe’re looking for a Data Platform Engineer to build the software that connects enterprise systems and makes their data usable across applications, analytics, and AI.
You’ll work at the intersection of backend engineering and data systems, building reusable capabilities for connecting to, querying, moving, and processing data.
This role is open to remote candidates, with a preference for those based in the Bay Area.
What you’ll doAt least 2+ years of experience as a Data Platform Engineer
Build core data platform capabilities. Develop services and APIs for data access, query execution, ingestion, and synchronization.
Make integrations reusable. Build connector frameworks and abstractions that support different systems and access patterns without requiring bespoke implementations.
Improve performance and resource efficiency. Identify bottlenecks in querying and data movement; apply partitioning, parallelism, and effective memory and storage management.
Own execution reliability. Build orchestration, retries, checkpointing, and observability so workloads recover predictably from failures and maintain data correctness.
Take capabilities from design to production. Work with product and engineering teams to define interfaces, make architectural tradeoffs, and operate what you build.
Strong Python and SQL, with experience building maintainable, tested production software.
Experience developing backend services, data infrastructure, or data platform components, beyond configuring pipelines.
A 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.
The 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 is especially relevant.
Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code.
Build AI products that solve complex, real-world enterprise problems
Work at the intersection of AI, ERP systems, and automation
High ownership, high impact, and direct influence on product direction
Collaborate with a deeply technical and customer-focused team
No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs’ name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
Skills Required
- At least 2 years of experience as a Data Platform Engineer
- Strong Python and SQL skills
- Experience building maintainable, tested production software
- Experience developing backend services, data infrastructure, or data platform components beyond configuring pipelines
- Understanding of relational databases, query optimization, data formats, and querying versus materializing data
- Experience with concurrent or distributed workloads, failure handling, resource management, and performance debugging
- Ability to investigate unfamiliar systems and translate complex requirements into 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 engineering platforms
- Familiarity with AWS, Azure, or GCP, including networking, storage, IAM, and infrastructure as code
What We Do
Enterprise transformations shouldn't take years or cost fortunes. At Tessera, we've built a multi-agent AI platform that cuts ERP transformation timelines from years to weeks and reduces costs by more than half—while delivering first-time-right outcomes with enterprise-grade security and governance. We combine the dependability of a trusted integrator with the speed of an AI innovator. Our vendor-agnostic platform is pre-trained on thousands of enterprise landscapes and hundreds of years of expertise, so it adapts to your environment from day one—harmonizing systems and data to deliver secure, governed execution across ERP and other critical systems. Unlike traditional system integrators, ERP vendor tools, AI point solutions, or in-house builds, Tessera delivers transformations that compress timelines by 90%, replace people-heavy manual work with intelligent automation, ensure systems and data harmonize correctly from the start, and avoid vendor lock-in through adaptive intelligence that evolves with your workflows. Tessera creates lasting change in how your processes and systems operate together. As the platform adapts to your environment and evolves with new data, you gain the confidence to modernize with less risk—freeing up resources to reinvest in growth rather than maintaining legacy complexity. Proven in regulated industries. Built for enterprise reality. Reshaping how organizations transform.
