Software Engineer, Full Stack

Tessera Labs•San Jose, CA

17d•$180,000 - $250,000

About The Position

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 role We're hiring a Full Stack Software Engineer to help build Tessera Mosaic, where AI agents work alongside people to transform how enterprises operate. You'll own meaningful product problems end to end, from intuitive interfaces for understanding and controlling agents to the data and backend systems that power them. You'll work across product, design, data, and infrastructure, with significant ownership over both what we build and how we build it. If you enjoy turning ambiguous problems into polished products, working with complex enterprise data, and shaping an AI-native platform from an early stage, this role offers the opportunity to have an outsized impact.

Requirements

Strong experience building production applications with React and TypeScript, paired with backend experience designing APIs and services in Node.js, Python, Java, or a comparable stack.
Strong data fundamentals and comfort working with relational data models, SQL, schemas, transformations, and the performance and reliability considerations of data-intensive applications.
The ability to take a feature from database to UI. You don't need to be equally deep everywhere, but you're comfortable moving across the stack and learning what you need along the way.
A track record of turning ambiguity into action: you define problems before solutions, ask good questions, make pragmatic tradeoffs, and iteratively ship rather than waiting for a perfect spec.
Strong product judgment. You seek to understand and challenge the "why," contribute ideas rather than simply implementing requirements, and balance speed with quality, security, and maintainability.
A collaborative, high-ownership approach. You communicate technical decisions clearly, contribute constructively to how the team designs and builds, and help other engineers do their best work.

Nice To Haves

Experience building AI-native or agentic products, including areas such as agent execution, tool use, observability, evaluations, or human-in-the-loop workflows.
Experience with ERP, CRM, HCM, or other complex systems of record, particularly SAP.
Experience working in fast-moving, early-stage environments and using modern AI-assisted development tools.

Responsibilities

Own ambiguous product and technical problems end to end: clarify the problem, investigate the underlying data and systems, propose an approach, align on tradeoffs, and ship.
Build data-intensive product features across the stack, from polished React experiences to APIs, data models, and backend services.
Build AI-native workflows that make agent behavior legible and controllable, including how users understand what an agent is doing, review its work, and intervene when needed.
Integrate with enterprise systems of record such as SAP, Salesforce, and Workday, navigating complex data models, APIs, and real-world edge cases.
Partner closely with product, design, and engineering to challenge assumptions, shape solutions, seek early feedback, and iteratively deliver real business value.
Help shape the technical foundations of the platform through thoughtful architecture, reusable abstractions, shared components, engineering conventions, code review, and technical discussions.