
Tessera Labs
San Jose, CA
Multi-agent AI for enterprise ERP modernization
About
Tessera Labs builds a vendor-agnostic multi-agent AI platform that automates ERP transformations like SAP S/4HANA migrations, data harmonization, and code remediation. It serves large enterprises with complex IT landscapes including SAP, Oracle, Salesforce. This compresses timelines from years to weeks, cuts costs over 50%, and ensures governed, secure outcomes without vendor lock-in.
Tech stack
Python, AWS, GCP, Azure, TypeScript, SAP, Salesforce, SQL, Snowflake, FastAPI, SQLAlchemy, Postgres, MySQL, React, Next.js
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19Own the organization’s end-to-end QA strategy, automation, and quality metrics across the SDLC. The role requires senior-level test automation experience, Python and JavaScript/TypeScript proficiency, and close collaboration with software developers.
Senior Product Security Engineer who partners with developers to secure web applications and APIs throughout the SDLC. The role leads threat modeling, security reviews, penetration testing, secure code review, and security-tooling programs.
The Technical GRC Analyst evaluates technical controls, validates evidence, performs risk assessments, and advances AI governance, compliance automation, and assurance reporting. The role requires 8+ years in technical security, Security GRC, or regulatory compliance, with cloud and enterprise technology experience.
Leads technically complex Oracle ERP and AI modernization programs, coordinating engineering teams, enterprise stakeholders, integrations, governance, and customer deployments. Requires substantial Oracle ERP delivery experience, strong enterprise architecture fluency, and exceptional program and stakeholder management.
Build and own production-grade AI agent infrastructure across multiple clouds, with responsibility for Kubernetes, Terraform, observability, security, reliability, and automation. Requires 5+ years of cloud infrastructure experience and strong CI/CD, networking, and production operations expertise.
Leads the Logistics and Supply Chain Management workstream for a greenfield Oracle Fusion Cloud implementation, including workshops, functional configuration, data migration, and integrations. Requires strong Oracle Fusion SCM expertise and excellent business English for direct client engagement.
Leads enterprise architecture and design authority for an Oracle Fusion Cloud ERP transformation, defining target architecture, owning the BPML, and designing integrations across finance, tax, procurement, HCM, inventory, and related systems. The role requires senior Oracle Fusion expertise and regular onsite work in Los Angeles.
Owns strategy and execution for AI-driven enterprise products, translating customer workflows and model capabilities into scalable features. The role partners across engineering, data science, GTM, and customer teams and requires B2B product experience, enterprise-platform expertise, and strong analytical judgment.
Build and scale backend APIs, microservices, data pipelines, and enterprise integrations powering an AI automation platform. The role requires 3–5 years of backend experience, strong Python skills, and familiarity with databases, cloud infrastructure, security, and distributed systems.
Research Scientist defining and executing research on reliable long-horizon agents in enterprise environments. The role focuses on post-training and reinforcement learning, agent memory, evaluation, verification, and structured representations, combining hands-on experimentation with product delivery and publication.
Build and scale post-training, reinforcement-learning, evaluation, and inference systems for long-horizon agents operating over complex enterprise software. The role requires strong Python and PyTorch or JAX skills, distributed GPU experience, empirical rigor, and the ability to take research results into production.
Build and operate production AI agents that transform enterprise processes, data, and code. The role focuses on tool layers, retrieval, context management, evaluations, monitoring, auditability, and guardrails, requiring strong Python and TypeScript plus experience with production LLM systems and traditional machine learning.
Drive AI deployment and automation outcomes for Fortune 500 customers as the strategic owner of pre- and post-sales engagements on the Tessera platform. Translate ambiguous needs into production solutions while shaping product strategy from field insights; requires 2+ years customer-facing technical experience and strong systems fluency.
Product Manager Intern supporting AI enterprise automation products. Work with product, engineering, and design teams on discovery, requirements, and feature launches.
Designs intuitive interfaces for multi-agent AI systems automating enterprise workflows across SAP, Salesforce, Workday, and Oracle. Leads full design lifecycle including research, prototyping, and design systems for governance, trust, and observability. Requires 5+ years in B2B SaaS product design.
Builds sophisticated UI components, interactive dashboards, and data visualizations for AI-driven enterprise workflows. Requires 3-5 years in frontend development with expertise in TypeScript, modern React ecosystem, and performance optimization.
Leads end-to-end delivery of multi-agent AI systems for enterprise clients, analyzing workflows, building Python-based integrations with systems like SAP and Salesforce, and ensuring production deployment. Requires 1-3 years experience in data science or solutions engineering, Python proficiency, and strong communication skills.
Designs and builds scalable ETL/ELT pipelines to harmonize data from ERP systems like SAP, Oracle, and NetSuite into unified models. Requires 5+ years in data engineering, advanced SQL/Python, and ERP data expertise for cross-system integration.
SAP Functional Consultant analyzes, designs, and modernizes SAP processes in Finance, Logistics, and Supply Chain modules, leads S/4HANA migrations, and integrates AI automation for enterprise workflows. Requires 3-7+ years SAP consulting experience and travel willingness.