--- title: 'Software Engineer, Full Stack at Tessera Labs' canonical: 'https://feeny.ai/job/software-engineer-full-stack-tessera-labs-san-jose-p7akxbkhb9dk' type: 'job' last_seen: '2026-09-26' --- # Software Engineer, Full Stack at Tessera Labs - **Company:** Tessera Labs - **Location:** San Jose, CA - **Compensation:** $180k–$250k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-22 - **Last confirmed live:** 2026-09-26 - **Apply:** https://jobs.ashbyhq.com/tessera-labs/202be46b-0d9d-4277-b8b2-719c3321a352 ## Job description ## About Tessera Labs 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. ## What you'll do - 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. ## What we're looking for - 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 have - 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. ## Why Tessera Labs - 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. ## About Tessera Labs ## Company Overview - **One-liner**: Tessera Labs provides a multi-agent AI platform that accelerates and de-risks enterprise ERP and critical systems modernization. - **Entity Type**: Private (Series A; $60M raised) - **Headquarters**: San Jose, California, United States (also listed as Palo Alto, CA) - **Founded**: 2024 - **Founders**: Kabir Nagrecha, Ph.D. (CEO) and Anirudh Sriram (CTO) ## Core Business - **Primary industry**: Enterprise Software & AI – focused on ERP transformation and system integration. - **Target customers**: Large enterprises running SAP, Salesforce, Workday, Oracle, and other systems of record (B2B, Enterprise). - **Mission or purpose statement**: “Unifying the disparate pieces of the enterprise into a coherent whole” – making complex transformations faster, safer, and more cost-effective. ## Products & Services - **Tessera Platform (Multi-Agent AI)**: An AI-native, vendor-agnostic platform that automates data harmonization, code remediation, cross-system orchestration, and governance for ERP and connected systems. It compresses modernization timelines from years to weeks and reduces costs by more than half. [tesseralabs.ai](https://www.tesseralabs.ai/) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: Total funding raised: $60M in Series A (May 2026). [cbinsights.com](https://www.cbinsights.com/company/tessera-labs) - **Notable Investors/Partners**: Andreessen Horowitz (a16z) led the Series A, with participation from Foundation Capital, Osage University Partners, Myriad Venture Partners, and A16Z GAMES. Key strategic advisors include Abdul Razack (EVP at Aon, ex-Google Cloud) and Prakash Gupta (founding CRO of Turing). [tesseralabs.ai/about](https://www.tesseralabs.ai/about) - **Growth Signals**: 35 employees with 4% monthly headcount growth; 38 active job postings (up 46.2% MoM); proven in $250M+ programs and regulated industries; Series A raised just one month ago (May 2026). [linkedin.com/company/tesseralabsai](https://www.linkedin.com/company/tesseralabsai) ## Competitive Advantages - **Vendor-agnostic platform** that works across SAP, Salesforce, Workday, and Oracle – avoiding lock-in unlike ERP vendor tools or point solutions. - **Pre-trained on thousands of enterprise landscapes** and backed by deep expertise (founders and leadership have backgrounds at SAP, Oracle, Google, Stanford AI Lab). - **Governance-first design**: every action is logged and traceable, built for regulated industries and audit compliance. - **Speed vs. incumbents**: compresses timelines by ~90% compared to traditional system integrators, and costs by more than half. ## Strategic Focus - **Current priorities**: Scaling the enterprise customer base, deepening multi-agent AI capabilities, and expanding the partner ecosystem. Hiring heavily across engineering, product, and consulting to support rapid go-to-market. - **Direction for growth**: Continue to displace legacy system integrators and internal IT teams with an AI-first, governed approach to ERP modernization. Target large-scale SAP S/4HANA migrations, CRM/HCM harmonizations, and connected-system orchestration. ## Why Work Here - **Culture highlights**: Described as “enterprise serious, AI forward” – a blend of deep enterprise gravity and cutting-edge AI research. Team includes PhDs, ex-Google/Microsoft/Netflix engineers, and former SAP directors. - **Remote/hybrid/office policy**: Not explicitly stated, but headquarters in San Jose (CA) and Palo Alto, and job postings suggest a mix of on-site and remote flexibility (e.g., multiple backend engineer roles, a Technical Program Manager). Expect hybrid with a strong in-office core. - **Notable perks or engineering culture**: Working on the frontier of enterprise AI with real-world impact on massive transformation projects. Opportunity to shape a new category of software. Leadership includes one of UC San Diego’s youngest PhDs and a YC alumnus. - **Open technical roles**: Backend engineers, data engineers (ERP data harmonization), DevOps, product design, SAP consultants – 38 open positions as of mid-2026. [jobs.ashbyhq.com/tessera-labs](https://jobs.ashbyhq.com/tessera-labs) ## Sources 1. [tesseralabs.ai](https://www.tesseralabs.ai/) 2. [tesseralabs.ai/about](https://www.tesseralabs.ai/about) 3. [linkedin.com/company/tesseralabsai](https://www.linkedin.com/company/tesseralabsai) 4. [cbinsights.com/company/tessera-labs](https://www.cbinsights.com/company/tessera-labs) 5. 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