# Data Forward Deployed Engineer – Applied Data & ML Engineering at Tessera Labs

Tessera Labs is hiring a Data Forward Deployed Engineer – Applied Data & ML Engineering for a remote role open to applicants in United States. It pays $180k-$233k a year and Level rates it Builds AI ●●●●; you can [apply on Tessera Labs](https://jobsbylevel.com/go/b64b64fa-0342-4e88-8dd3-17e1c13ec779?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Remote (Remote in the U.S.).

## Details

- Company: [Tessera Labs](https://jobsbylevel.com/companies/tessera-labs)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Remote (Remote in the U.S.)
- Salary: $180k-$233k
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/b64b64fa-0342-4e88-8dd3-17e1c13ec779?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-forward-deployed-engineer-applied-data-ml-engineering-at-tessera-labs-06fe4e

## Prepare for this job

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## Description

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 SAP, Oracle, Salesforce, Workday, and other systems of record, Tessera combines the reliability of an integrator with the speed 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. Role Summary We are looking for a Forward Deployed Engineer (FDE) for our Applied Data & ML capability. You will work directly with enterprise clients to turn fragmented, multi-system enterprise data into trusted data products and production ML models. You will collaborate closely with client teams, SMEs and Tessera product engineers to translate complex business logic into data pipelines, canonical data models and applied ML solutions, and you will feed proven patterns back into the Tessera platform. The role requires strong experience in SQL, Python, data modeling and applied machine learning, combined with the judgment to own ambiguous client problems end to end. This is a mid- to senior-level role. This role owns delivery quality on your engagements: validation, reconciliation to source and stakeholder sign-off. Why Join Tessera Build at the frontier of applied AI. Work on a multi-agent AI platform that automates complex business workflows across SAP, Oracle, Salesforce, Workday, Snowflake, MuleSoft and more, and help bring real AI automation to the enterprise. Shape the platform, not just the project. The pipelines, canonical models, mapping rules and ML components you build become reusable parts of the Tessera platform, and your field input goes straight to our product and R&D teams. Work on real enterprise data. Harmonize master and transactional data across ERP, CRM, HCM and finance systems, and take ML models from feature engineering to production. See more in a year than most see in five. You will work across several enterprise customers and landscapes, alongside senior functional architects, Forward Deployed Engineers and AI engineers. Own real outcomes. You will work in a software platform company where engineers are trusted with decisions, and where the measure of success is what customers adopt and keep using. Key Responsibilities 1. Deploy with Clients Embed with client teams to scope data and ML problems, map source systems and deliver working outcomes in weeks. Own delivery quality, including validation, reconciliation to source and stakeholder sign-off. Turn repeated client patterns into reusable components for the Tessera platform. 2. Build and Harmonize Enterprise Data Design and develop scalable ETL/ELT pipelines using SQL, Python and dbt to ingest and transform data from enterprise platforms, including ERP, CRM, HCM and finance systems. Design canonical enterprise data models and cross-system mapping rules that standardize master and transactional data. Implement validation, reconciliation and monitoring to resolve duplicate, inconsistent and legacy data. 3. Apply Machine Learning Engineer features and build models on enterprise data for use cases such as forecasting and anomaly detection. Deploy models to production and monitor them. Required Qualifications 5+ years of experience in Data Engineering, ML Engineering or Applied Data Science. Enterprise data harmonization, migration or analytics experience across

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Source: https://jobsbylevel.com/jobs/data-forward-deployed-engineer-applied-data-ml-engineering-at-tessera-labs-06fe4e

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