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Technical Project Manager (TPM) - SAP Transformation & AI Delivery

Tessera Labs

Tessera Labs

Software Engineering, IT, Operations, Data Science
USD 200k-263k / year
Posted on Feb 19, 2026

Location

New York City Office

Employment Type

Full time

Location Type

Hybrid

Department

Enterprise Architecture & Delivery

Compensation

  • $200K – $263K

Location: San Jose, CA or New York City
Remote: Considered; travel required (as per client requirements, up to 70%)

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, and Finance 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

We are seeking a Technical Project Manager (TPM) with deep, hands-on SAP expertise to lead our most strategic customer implementations. In this role, you are not just a project scheduler; you are the project leader ensuring Tessera's multi-agent AI solutions are integrated predictably, safely, and successfully into complex SAP landscapes. You will serve as the critical bridge between Tessera's cutting-edge AI agents and the intricate reality of enterprise systems like SAP ECC and S/4HANA.

You must be able to speak fluently with a customer's SAP Basis team, Solution Architects, and business process owners, translating their concerns into requirements for Tessera's AI and engineering teams. Your deep understanding of SAP will allow you to provide technical guidance during issue resolution, support architecture discussions, and ensure teams stay aligned on what is required and what is technically feasible.

The ideal candidate has spent years delivering SAP transformation programs within System Integrator environments or large enterprises and is now excited to apply AI to accelerate what they already know so well.

Key Responsibilities

  1. SAP-Focused Technical Program Leadership

    • Own end-to-end delivery of multi-agent AI modernization programs, ensuring seamless integration with SAP ECC/S/4HANA and surrounding enterprise systems.

    • Leverage your deep SAP knowledge to anticipate technical friction points related to data structures, custom code (ABAP), and process orchestration.

    • Lead a cross-functional delivery pod (Forward-Deployed Engineers, Data Engineers) through the complexities of SAP landscapes.

  2. Technical Communication & Stakeholder Alignment

    • Act as the primary technical interpreter between customer SAP technical teams (Basis, Architects, Developers) and Tessera's AI/product organizations.

    • Lead discovery workshops, using your SAP fluency to map complex system landscapes, data flows, and integration points to Tessera's agentic capabilities.

    • Articulate technical trade-offs and implementation plans to both CIO-level executives and SAP technical leads.

  3. Execution Management in Complex Landscapes

    • Drive Agile delivery within the constraints of enterprise change management and SAP's Activate methodology or similar.

    • Anticipate risks related to custom code remediation, data harmonization, and cross-system dependencies; create clear mitigation plans rooted in technical reality.

  4. Enterprise-Grade Governance & Deployment

    • Ensure all delivery meets rigorous enterprise standards for security, compliance, auditability, and SAP-specific change governance (e.g., Transport management).

    • Oversee technical prerequisites for integration across enterprise systems, with a primary focus on SAP.

  5. Customer Engagement & Escalation

    • Serve as the primary technical operations contact during onboarding and implementation.

    • Manage technical escalations from customer IT teams, coordinating engineering responses with clear, timely communication and a deep understanding of the underlying SAP issues.

  6. Startup Mindset & Extreme Ownership

    • Operate in a high-velocity environment, bringing structure and clarity to complex, ambiguous customer challenges.

    • Travel to customer sites for workshops, solution design, and program oversight.

Required Qualifications

  • Deep SAP Expertise: 4–6+ years of experience managing or leading the technical delivery of multiple SAP projects (ECC, S/4HANA). You understand the backend—modules, data tables, integration points, and the complexities of real-world SAP landscapes.

  • Technical Program Delivery: Proven experience in technical program management or engineering program delivery within enterprise environments.

  • Technical Communication: Ability to read, understand, and explain SAP technical concepts, system constraints, and data models to both engineering teams and business stakeholders.

  • Structured Execution: Strong command of Agile methodologies and experience orchestrating cross-functional delivery with large-scale technical dependencies.

Preferred Qualifications

  • System Integrator or Consulting Background: Experience working within a top-tier SI (e.g., Accenture, Deloitte, PwC, EY, IBM) or managing complex programs on the client side.

  • AI / ML Exposure: Experience delivering programs involving ML/AI or a strong interest in understanding LLMs and multi-agent AI orchestration.

  • Enterprise Systems Breadth: Familiarity with integrating SAP with other enterprise platforms (Salesforce, Workday, Snowflake, MuleSoft).

  • Certifications: PMP, Scrum Master, or SAFe certification is a plus, but real-world SAP delivery experience is paramount.

Behavioral & Problem-Solving Expectations

  • Balance deep SAP engineering knowledge with program structure and executive communication.

  • Operate with extreme ownership and a bias for clarity and action.

  • Thrive in ambiguity; use your experience to create structure where none exists.

  • Adapt quickly, simplify complexity, and drive alignment between cutting-edge AI and established enterprise systems.

Compensation Range: $200K - $263K