Tessera Labs

Role Description Tessera Labs is hiring a Contract Senior Technical Recruiter to own Engineering hiring end to end. This role is perfect for someone who thrives in startup environments, loves full-cycle recruiting, and knows how to partner with hiring managers to deliver top talent in competitive tech markets. - Own full-cycle recruiting for Engineering (Forward Deployed Engineers "FDE", Technical Project Managers, Cloud Infrastructure, Sales Enablement, Platform, Frontend and Backend) - Partner closely with hiring managers to define hiring needs and priorities - Source, engage, and close high-quality candidates in tech and AI markets - Manage pipelines, interviews, offers, and candidate experience - Proactive / event attendance based sourcing - Use data and insights to drive hiring outcomes and improve processes Qualifications - 5+ years of recruiting experience in tech and/or startup environments - Proven success hiring Engineering talent - Strong sourcing and stakeholder partnership skills - Comfortable operating in fast-paced, high-growth settings Benefits - High-impact role at a growing AI startup - Autonomy and ownership - Competitive compensation + equity + benefits + perks - Remote-friendly, collaborative team

• Lead the full design lifecycle: research, ideation, interaction flows, high-fidelity wireframes, and prototyping for AI-driven, data-heavy enterprise workflows. • Translate user needs and business goals into intuitive, trustworthy interfaces for complex multi-system processes spanning SAP, Salesforce, Workday, and Oracle. • Design for governance and trust: surface what agents are doing, why they're doing it, and how a human can review, intervene, or override. • Run qualitative and quantitative research with enterprise users (IT leaders, ERP admins, business analysts) and iterate based on what you learn. • Partner closely with product managers and engineers to align on vision, ensure technical feasibility, and ship at quality. • Build and maintain the design system that keeps the Tessera Mosaic platform consistent across products and surfaces. • Raise the craft bar across the company: provide design critique, mentor engineers on UX patterns, and advocate for user-centricity at every level.

• Assist in developing UI components, dashboards, and data visualizations. • Help maintain and improve reusable component libraries. • Support implementation of client-side state and interactions. • Contribute to creating intuitive UIs for internal tools, AI models, and data workflows. • Collaborate with the engineering team to optimize usability and performance. • Learn to identify and help address performance bottlenecks in frontend systems. • Take initiative on small projects and features with guidance from senior engineers.

Role Description At Tessera Labs, we’re building AI-powered automation systems that streamline complex enterprise workflows. Our technology integrates with platforms like SAP, Salesforce, and Workday, and our multi-agent AI systems optimize operations at scale. We’re looking for a Backend Engineer Intern who is eager to learn and contribute to real backend systems in a fast-paced startup environment. You’ll work alongside experienced engineers to develop APIs, support data pipelines, and help integrate AI-driven features. - Assist in developing RESTful APIs and backend services using Python (FastAPI, SQLAlchemy). - Help implement and maintain database schemas, queries, and caching strategies. - Support integration of backend services with AI models and enterprise systems. - Collaborate on scalable, event-driven architectures and data pipelines. - Learn best practices for cloud deployment (AWS or GCP), observability, and security. Qualifications - Currently pursuing or recently graduated with a degree in Computer Science, Engineering, or related field. - Familiarity with Python and basic backend frameworks (FastAPI, Flask, or Django). - Basic understanding of databases (PostgreSQL, MySQL, or similar) and SQL queries. - Interest in distributed systems, cloud services, and scalable backend architectures. - Strong problem-solving skills and eagerness to learn from experienced engineers. - Ability to work in a fast-paced, collaborative startup environment. Requirements - Experience with message queues, caching, or event-driven systems. - Exposure to AI/ML concepts or integrating models into applications. - Familiarity with cloud platforms (AWS, GCP, or Azure). - Understanding of API design principles and RESTful conventions. Company Description 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 can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise — with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.

• Design, build, and maintain production-grade cloud infrastructure • Be part of a team that supports Tessera's infrastructure across every cloud provider • Design, build, and operate Tessera's multi-cloud infrastructure across AWS, Azure, GCP and Oracle. • Enable portable infrastructure across customer environments • Improve observability, security, and system reliability • Deploy and operate applications using Kubernetes and Terraform • Partner closely with product and platform engineers to unblock delivery • Design and build CI/CD pipelines, own the end-to-end automation of build, test, and deployment workflows for both infrastructure and application code • Build and maintain a reusable automation framework for day-to-day DevOps and developer workflows, covering environment provisioning, secret rotation, dependency updates, compliance checks, and release management • Automate operational runbooks and recurring processes, identify manual work across the engineering org and systematically eliminate it through scripts, pipeline stages, and self-service tooling • Champion an automation-first mindset across the team, if something is done twice, it should be automated; if it's automated, it should be observable and maintained like production code

• Assess and analyze existing SAP PI/PO integration landscapes • Design target-state integration architectures using SAP BTP Integration Suite • Architect migration strategies from SAP PI/PO to SAP BTP Integration Suite • Define integration modernization roadmaps for SAP and non-SAP systems • Establish reusable integration patterns and governance standards • Analyze and document existing integration artifacts including Enterprise Service Repository (ESR) artifacts, message mappings, graphical mappings, user defined functions, operation mappings, integration directory configurations, adapter configurations • Analyze large PI/PO landscapes to understand mapping logic and transformation rules • Design migration strategies for various SAP artifacts • Architect and implement integrations between SAP systems and SAP cloud products • Design integrations with enterprise SaaS platforms such as Salesforce, Workday, ServiceNow

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves working closely with Forward Deployment Engineers (FDEs) to enable rapid ERP modernization and AI-driven transformation for enterprise clients. The focus of this role is data harmonization, cross-system integration, and pipeline development, ensuring that AI solutions and enterprise workflows are powered by clean, reliable, and well-structured data. - Emphasizes ETL, relational schema modeling and mapping, joins, data cleaning, and pipeline logic for structured/tabular data. - Includes a lightweight upstream MLOps component limited to structured datasets, which may involve distributed processing using PySpark or ML data engineering techniques. - Requires deeper ERP-centric data understanding than a typical ML data engineering role. - Strong generalist engineering skills to build scalable, production-grade pipelines are necessary. - Candidates with SAP data expertise and modern data engineering or ML-enablement experience are ideal. Key Responsibilities - Data Harmonization: Integrate, reconcile, and standardize structured data across ERP, CRM, finance, and analytics systems. - Cross-System Pipeline Architecture: Design and implement ETL/ELT pipelines that unify data across enterprise systems for AI-driven use cases. - Data Transformation & Validation: Build logic to clean, transform, validate, and prepare structured/tabular datasets for operational and analytical workflows. - Schema Interpretation: Analyze complex enterprise schemas and document entity relationships across systems. - Pipeline Reliability: Monitor, troubleshoot, and optimize data pipelines to ensure consistent, high-quality delivery at scale. - AI Enablement: Prepare structured datasets for multi-agent AI platforms, applying lightweight upstream MLOps practices where appropriate. - Cross-Functional Collaboration: Work directly with FDEs, architects, and client teams to solve complex enterprise modernization challenges. - Problem Solving Under Ambiguity: Decompose unclear requirements into clear, actionable technical solutions. Qualifications - Strong SQL skills, including complex joins and queries across multi-schema relational environments. - Proficiency in Python or a comparable language for data processing, automation, and pipeline logic. - Solid foundations in relational data modeling, schema mapping, and normalized/denormalized design. - Experience working with enterprise systems such as SAP S/4HANA, Salesforce, finance systems, or cloud data warehouses. - Hands-on experience building and maintaining ETL pipelines for structured/tabular data. - Familiarity with distributed data processing (e.g., PySpark) and upstream MLOps concepts applied to structured datasets is a plus. - Ability to operate effectively in fast-moving, ambiguous environments. - Experience supporting analytics, ML pipelines, or AI workflows is preferred but not required. - Demonstrated ability to navigate messy, fragmented enterprise data landscapes with inconsistent schemas and cross-system duplication. Behavioral & Problem-Solving Expectations - Comfortable working in a startup environment with high ownership and rapid iteration. - Able to think like an engineer while navigating organizational and stakeholder dynamics. - Communicates clearly and concisely, adjusting depth and detail to the audience. - Operates effectively with incomplete information and adapts quickly to change. - Uses AI-assisted tools thoughtfully to accelerate engineering productivity and solution delivery.

Location: San Jose, CA or New York City Remote: Considered; travel required About Tessera Labs Tessera Labs is redefining how enterprises modernize their most complex systems. Backed by Foundation Capital and built by leaders in AI and enterprise transformation, Tessera delivers governed, multi-agent AI built specifically for ERP modernization. Tessera compresses ERP modernization from years to weeks. Our platform accelerates data harmonization, remediates and optimizes legacy code, orchestrates workflows across ERP/CRM/Finance etc. stacks, and safeguards mission-critical operations with audit-ready governance. Our mission: Modernize global enterprises safely, automatically, and at unprecedented speed. We move fast, own outcomes end-to-end, and build at the frontier of applied AI for large-scale transformation. Role Summary The Technical Project Manager (TPM) is the project leader ensuring that Tessera’s multi-agent AI solutions are delivered predictably, safely, and successfully across complex enterprise environments. Unlike a traditional project or program manager, this role requires significant technical depth: - You must understand enterprise system architectures, data flows, integrations, and AI-driven automation. - You must be able to speak fluently with both customer technical teams and Tessera’s AI, data, and engineering teams. - You will provide technical guidance during issue resolution, support architecture discussions, and ensure teams stay aligned on what is required and what is technically feasible. You will also lead delivery pods composed of Forward-Deployed Engineers, Data Engineers, and Solution Architects to execute modernization programs across ERP and connected systems. The ideal candidate has delivered ML programs and Enterprise Systems transformation initiatives and thrives at the intersection of AI, architecture, and enterprise-scale delivery. Key Responsibilities 1. Technical Program Leadership & Delivery - Own end-to-end delivery of multi-agent AI modernization programs across ERP, CRM, various Enterprise systems and connected systems. - Lead a cross-functional delivery pod (Forward-Deployed Engineers, Data Engineers and System Engineers) to drive technical execution and customer outcomes. - Excels at engaging with customers, translating their needs into actionable plans, and ensuring alignment between stakeholders and delivery teams. - Engage deeply in technical discussions about data quality, system landscapes and governance. - Translate ambiguous enterprise requirements into clear, technical scopes, milestones, dependencies, and risk structures. 2. Technical Communication & Cross-System Alignment - Act as the technical bridge between customer engineering teams and Tessera’s AI/product/engineering organizations. - Communicate architectures, technical decisions, constraints, and trade-offs clearly to both technical and non-technical stakeholders. - Facilitate discovery workshops where you interpret complex system landscapes and ensure technical alignment. 3. Execution Management & Process Optimization - Drive Agile workflows with discipline and structure to achieve predictable delivery. - Anticipate technical and operational risks; create clear mitigation plans. - Implement best practices for scaling multi-agent AI delivery across customers. - Track KPIs, delivery velocity, quality metrics, and execution health. 4. Enterprise-Grade Governance & Deployment - Ensure delivery meets enterprise standards for security, compliance, auditability, and change governance. - Oversee technical prerequisites for integration across enterprise systems, e.g. SAP, Salesforce, Workday, Snowflake, and other enterprise platforms. 5. Customer Engagement, Escalation, & Problem Solving - Serve as the primary technical operations contact during onboarding, implementation, and expansion. - Manage customer escalations; coordinate engineering response with clear, timely communication. - Partner closely with customer IT and transformation teams to drive alignment and unblock technical issues. 6. Startup Mindset & Extreme Ownership - Operate in a high-velocity, high-ambiguity environment. - Bring structure, clarity, and momentum to evolving customer needs. - Travel to customer sites for workshops, solution design, and program oversight. Technical & Domain Skills Technical Communication & Architecture Understanding - Ability to read, understand, and explain technical concepts. - Comfort discussing system constraints, API limits, error handling, data models, and logical workflows with engineering teams. Enterprise Systems Expertise - Understanding of ERP/CRM/Enterprise systems (SAP ECC/S/4, Salesforce, Workday, Snowflake, MuleSoft, Oracle etc.). - Familiarity with master data harmonization, code remediation, process orchestration, and legacy modernization. AI / ML & Automation - Experience delivering ML programs or working with ML/AI engineering teams. - Understanding of LLMs, multi-agent AI orchestration, and enterprise automation frameworks. Program & Delivery Management - Strong command of Agile methodologies, Jira workflows, and cross-functional delivery orchestration. - Experience running technical programs with large-scale dependencies. Required Qualifications - 4–6+ years of technical program management or engineering program delivery experience. - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. - Proven ability to communicate with engineering teams in technical contexts. - Strong technical literacy and ability to engage in architecture, data, and system integration topics. - Excellent communication skills across technical and business audiences. Preferred Qualifications - Delivered Machine Learning programs and/or Enterprise Systems modernizations. - Background in ERP transformation (SAP strongly preferred), data quality programs, or system integrator environments. - Experience in high-growth startup environments. - PMP, Scrum Master, or SAFe certification. - Experience with LLM/agent-based systems or AI-driven enterprise automation. Behavioral & Problem-Solving Expectations - Balance engineering depth with program structure and executive communication. - Operate with extreme ownership and a bias for clarity and action. - Thrive in ambiguity; create structure where none exists. - Strong stakeholder management across customer executives, engineers, and cross-functional teams. - Adapt quickly, simplify complexity, and drive alignment. - Use AI tools to accelerate planning, documentation, and delivery.

• Write code and build production software and workflows on top of the Tessera Mosaic platform • Conduct deep process discovery with customers, breaking down complex, ambiguous, cross-system problems into well-defined solutions • Build lightweight prototypes or workflows that showcase Tessera’s AI agents in real enterprise scenarios • Partner with GTM to clearly frame technical boundaries in sales engagements, producing technical collateral including Statements of Work • Collaborate with Infra and Engineering to architect implementations that scale and work consistently across high-volume, business-critical processes • Iterate closely with customers and cross-functional partners to drive adoption from pilot to full production • Ensure that field signal from the customer is transmitted to the Product and Engineering teams, helping shape our product strategy • Build long-term customer relationships and proactively identify new automation opportunities throughout engagements • Lead training and workshop sessions at customer sites to train and upskill Tessera Mosaic users on the platform

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The ABAP Programmer plays a critical role in analyzing, remediating, and modernizing complex SAP custom code landscapes within Tessera’s AI-native platform. This role blends deep ABAP development expertise—particularly custom code remediation, S/4HANA adaptation, and performance optimization—with systems engineering discipline, integration design, and applied AI-driven automation. You will work hands-on within SAP ECC and S/4HANA environments, performing detailed custom code analysis, configuring and executing ATC and readiness scans, resolving deprecated objects, and refactoring legacy ABAP to align with clean-core and extensibility best practices. You will also support cross-system integrations and enable AI-driven automation across ERP and adjacent enterprise platforms. This role is ideal for an engineer who understands how SAP systems operate in real production environments—across application, data, and integration layers—and can modernize highly customized landscapes safely, governably, and intelligently using automation and AI. Key Responsibilities - Code Analysis & Technical Remediation - Perform deep analysis of legacy ABAP programs, includes, enhancements, and custom frameworks. - Identify and resolve S/4HANA incompatibilities, deprecated objects, and obsolete logic. - Execute and interpret ATC checks, S/4 readiness assessments, and remediation findings. - Refactor custom developments to align with HANA-optimized SQL and simplified data models. - Investigate runtime errors, short dumps, update failures, and Gateway inconsistencies. - Redesign WRICEF components to reduce complexity and improve maintainability. - Strengthen performance through trace analysis, indexing strategies, and CDS-based redesign. - Ensure extensibility patterns follow clean-core and upgrade-safe principles. - S/4HANA Readiness & Technical Transformation - Prepare ECC systems for S/4HANA conversion through structured custom code adaptation. - Re-architect legacy reporting using CDS Views, AMDP, and modern ABAP constructs. - Support transition to RESTful ABAP Programming Model (RAP) where applicable. - Implement side-by-side extensibility via SAP BTP when core modification is not appropriate. - Modernize forms and output frameworks (SAPscript, SmartForms, Adobe Forms). - Contribute to transport, versioning, and Git-based development strategies. - Integration Engineering & Event Enablement - Design and troubleshoot SAP integrations using IDocs, RFCs, BAPIs, OData, and APIs. - Analyze trigger-based logic embedded in legacy programs and refactor toward event-driven patterns. - Support middleware-based integration scenarios and cross-platform orchestration. - Ensure data integrity and transactional consistency across enterprise landscapes. - Monitor and resolve integration bottlenecks affecting upstream or downstream systems. - AI-Augmented SAP Engineering - Leverage AI tools to scan custom ABAP repositories for risk indicators and remediation opportunities. - Identify hard-coded logic, implicit dependencies, and undocumented integration triggers. - Support automated insertion of service calls and governance controls within custom logic. - Collaborate with AI engineers to operationalize SAP observability and intelligent workflow automation. - Transform undocumented SAP systems into analyzable, structured technical assets. - Delivery Execution & Stakeholder Alignment - Act as a senior technical contributor during SAP remediation and modernization programs. - Translate complex ABAP findings into structured remediation roadmaps. - Partner with enterprise architects, AI engineers, and delivery teams to ensure safe implementation. - Communicate technical risk assessments and modernization strategies clearly to stakeholders. - Participate in customer-facing workshops and milestone-driven onsite engagements. - Reliability, Governance & Engineering Discipline - Deliver production-ready solutions in high-availability enterprise environments. - Maintain auditability and traceability throughout remediation efforts. - Balance modernization velocity with upgrade safety and compliance requirements. - Contribute to internal standards for ABAP code quality and modernization frameworks. Qualifications - 5–10+ years of hands-on SAP ABAP development experience. - Demonstrated experience in custom code remediation or S/4HANA adaptation initiatives. - Strong debugging and root-cause analysis skills in production SAP environments. - Experience navigating highly customized enterprise SAP landscapes. - Ability to operate independently in complex modernization efforts. - Strong written and verbal communication skills. - Willingness to travel to U.S.-based customer sites as required. Preferred Qualifications - Participation in ECC to S/4HANA transformation programs. - Experience designing or refactoring event-driven SAP processes. - Prior customer-facing technical leadership experience. - Background in regulated or compliance-heavy industries. - Exposure to AI-enabled modernization initiatives. Behavioral & Problem-Solving Expectations - High accountability for technical outcomes and system stability. - Analytical mindset when working with incomplete documentation. - Ability to methodically reduce technical debt in legacy systems. - Clear and structured documentation practices. - Comfortable collaborating across SAP, AI, and enterprise architecture teams.