About Tessera Labs

Tessera is an AI-native platform for enterprise transformation. The multi-agent platform delivers governed execution across ERP, CRM, HCM, and finance systems, cutting timelines from years to weeks and costs by more than half. Built on deep expertise across Oracle, SAP, Salesforce, Workday, and other systems of record, Tessera address the scope a system integrator would have traditionally taken up with the speed of execution and efficiency of an AI-native platform.

For decades, enterprises have struggled with fragmented business systems, where migrations have consumed hundreds of millions of dollars, data stayed inconsistent and unreliable, and business processes slowed under manual review. Tessera was founded to change that, for SAP and every other system enterprises depend on. The name itself — a tessera, a single tile in a mosaic — reflects our mission: unifying the disparate pieces of the enterprise into a coherent whole. Tessera is an AI-powered, multi-agent platform that harmonizes systems and lets teams work in plain English.

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 expertise in delivery and value stream management to lead our most strategic customer implementations. In this role, you are not just a project scheduler. You are the delivery leader who directs cross-functional pods across multiple parallel workstreams, making sure Tessera’s multi-agent AI solutions are integrated predictably, safely, and successfully into complex enterprise environments, and that every phase of the engagement delivers measurable value.

You will be the bridge between Tessera and enterprise client’s delivery team spanning core business systems, ERP, CRM, finance, HR, and operational platforms. The role calls for strong technical fluency across enterprise architectures, business processes, integrations, and transformation programs.

You will work closely with customer Solution Architects, technical teams, system owners, and business stakeholders, translating operational and technical requirements into actionable plans for Tessera’s delivery pods. You will use your understanding of enterprise modernization to guide issue resolution, support architecture discussions, and keep every workstream aligned on what is required, technically feasible, and most valuable to the customer.

The ideal candidate has spent years leading delivery within System Integrator environments or large enterprises and wants to apply AI to accelerate modernization at scale.

Key Responsibilities

Cross-Functional Delivery Pod Leadership

Lead cross-functional delivery pods of Forward-Deployed Engineers, Data Engineers, and AI engineering teams, setting priorities, removing blockers, and holding the team accountable to outcomes

Own end-to-end delivery of multi-agent AI modernization programs from discovery through deployment and operational handoff

Build pod structures, cadences, and operating rhythms that scale across multiple concurrent customer engagements

Anticipate technical friction points related to data structures, legacy customizations, integrations, and workflow orchestration before they affect the pod’s velocity

Multi-Workstream Orchestration

Run multiple parallel workstreams across data, integration, AI agent configuration, testing, and business process alignment, managing dependencies and sequencing between them

Coordinate across Tessera teams, customer stakeholders, and third-party vendors to maintain delivery momentum across every workstream

Develop integrated program plans that give leadership a single view of progress, risk, and value across all workstreams

Support modernization efforts spanning core business systems, CRM, finance, HRIS, and operational platforms

Delivery & Value Stream Management

Map customer value streams end to end, identifying where Tessera’s agentic AI capabilities remove manual effort, shorten cycle times, and reduce cost