Jobs at Tessera Labs

Design and build multi-agent AI systems and complex agentic pipelines using open and closed LLMs. Create data generation, fine-tuning, training, and evaluation pipelines. Integrate AIs with enterprise platforms (SAP, Salesforce, Workday, Snowflake, MuleSoft). Manage AI infrastructure and deploy inference endpoints on cloud platforms (AWS/Azure/GCP).

Own day-to-day operations of the NYC office: manage supplies and facilities, coordinate vendors and furniture installs, plan internal and executive-facing events, provide administrative and executive support, manage budgets, onboard new hires, and foster a positive office culture in a fast-paced startup.

The Senior Product Designer will lead the design lifecycle for AI-driven enterprise workflows, create intuitive interfaces, conduct user research, and collaborate with product teams to ensure quality and alignment.

Support product discovery and market research, define product requirements and user stories with engineers and designers, analyze usage data and customer feedback, assist launches and go-to-market, research AI technologies, and own a project to present recommendations to leadership.

The Systems Engineer will design and modernize Salesforce and integrate it with ERP systems, lead CRM migration projects, and support AI-enabled automation strategies.

The SAP FI/CO Consultant will implement and optimize financial processes in the SAP FI module, ensuring accurate financial operations and reporting through collaboration and system configuration.

Design and maintain production-grade cloud infrastructure for Tessera's AI systems, leveraging Terraform and Kubernetes across multiple cloud providers, while automating CI/CD pipelines and ensuring operational excellence.

The Forward-Deployed Engineer leads technical project delivery, implementing AI solutions and ensuring customer success through data analysis and system integration.

The Product Manager will shape product strategy for AI-driven features, conduct market analysis, prioritize use cases, and collaborate with engineering and sales teams to deliver enterprise solutions.

The Systems Engineer for Oracle ERP will deliver and modernize Oracle ERP systems at client sites using AI-driven automation. Responsibilities include implementation, migration, troubleshooting, and developing custom solutions while ensuring adherence to governance standards.

The Backend Engineer will design, build, and maintain RESTful APIs, data pipelines, and backend services, focusing on performance and integration with AI systems. Responsibilities include collaborating with various teams, optimizing reliability, and implementing security measures.

The role involves developing and optimizing frontend UI components and dashboards in a fast-paced startup, focusing on performance and user experience.

Lead the design and automation of SAP SD and MM business processes, focusing on configuration, ABAP development, and integration. Optimize operations and support ECC to S/4HANA migration.

The Senior Data Engineer designs scalable data solutions to harmonize data across various ERP systems, implementing ETL/ELT pipelines and ensuring data quality and governance.

The SAP Functional Consultant will analyze and modernize enterprise processes using SAP, support S/4HANA migrations, and implement AI-driven automation. Responsibilities include functional consulting, designing solutions, and engaging with customers to ensure operational excellence.

The SAP BTP Consultant will design and implement solutions on the SAP Business Technology Platform, focusing on integrations, cloud-native applications, and enterprise architecture while collaborating with clients and teams.

Build and maintain a production component library and design system: translate Figma designs into reusable, accessible React+TypeScript components, establish consistent design patterns, prototype reference implementations, and ensure accessibility, performance, versioning, and developer ergonomics across the platform.

Embed with enterprise customers to run discovery, translate ambiguous needs into concrete requirements, and drive production deployments on the Tessera platform. Own pre- and post-sales engagements, surface product feedback, train customers, and partner with GTM, Product, and Engineering to deliver scalable AI automation outcomes.