G

Growth Protocol

Enterprise reasoning platform for auditable decisions

Forward Deployed Engineer

Full-Time
No salary listed
Senior
Munich, Germany
HybridRemote until Summer 2026, then hybrid; candidates must live in Germany within commuting distance of Munich.
Software EngineeringAI Application Engineering

About the job

Requirements
  • At least 5 years of experience in a hybrid technical and client-facing role, such as Solution Architect, Forward Deployed Engineer, AI/ML Systems Engineer, or Technical Consultant.
  • Experience deploying AI/ML workflows or intelligent applications, including large language models, retrieval-augmented generation, forecasting, or symbolic reasoning.
  • A strong coding background in Python and familiarity with GCP, Docker, FastAPI, LangChain, LangGraph, Elasticsearch, Snowflake, and BigQuery.
  • Experience with data pipelines and distributed systems in production environments.
  • Ability to translate complex business challenges into structured technical solutions.
  • Strong analytical and problem-solving skills, including experience building repeatable and scalable processes.
  • Verbal and written communication skills sufficient to lead executive-level discussions and technical design sessions.
  • Professional fluency in German and English.
  • Candidates must be based in Germany and within commuting distance of Munich.
Responsibilities
  • Lead end-to-end technical delivery for enterprise engagements, from discovery through deployment.
  • Embed with client teams to scope high-value workflows, architect integrations, and orchestrate AI models.
  • Act as the technical counterpart during onboarding and proof-of-value phases, ensuring fast time-to-value and successful go-lives.
  • Partner with internal Product, Data Science, and Backend teams to deliver scalable, explainable, and reliable AI integrations.
  • Collaborate with strategic consulting partners to align technical efforts with client business goals and expansion opportunities.
  • Capture learnings and build reusable patterns, documentation, and internal playbooks to accelerate future deployments.
  • Communicate with senior executives, advocate for optimal AI workflow strategies, and gather feedback for continuous improvement.
  • Partner with sales and customer success to support onboarding, adoption, and expansion of workflows.

About the company

Growth Protocol builds an enterprise reasoning platform that serves as a governed surface for decision-making. It uses a neuro-symbolic AI engine that combines neural outputs with symbolic business rules and an ontology of commercial logic to generate explainable, auditable recommendations. The system connects models, agents, workflows, and enterprise data, records evidence and rationale as decision memory, and executes actions within the customer’s governed data environment. Its goal is to help large enterprises make profitable commercial decisions with transparent, auditable reasoning, differentiating itself by deterministic, auditable decision-making rather than purely generative outputs.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, New York

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • March 19, 2026 Databricks partnership opens governed-data workflows across its installed enterprise base.
  • EY and Fortune 500 pilots validate demand for explainable pricing, portfolio, and go-to-market decisions.
  • Hiring in June 2026 and Mexico City expansion show active go-to-market scaling.

What critics are saying

  • Private preview until Q2 2026 delays revenue and invites competitors like Databricks and OpenAI.
  • No disclosed funding signals thin balance-sheet risk if enterprise sales cycles slip in 2026.
  • Heavy consulting-style deployments create services drag; one failed flagship client damages category trust.

What makes Growth Protocol unique

  • Neuro-symbolic AI combines explainable logic with neural models for auditable enterprise decisions.
  • Databricks SDK runs inside customer notebooks, keeping governed data in-place.
  • EY partnership gives Growth Protocol credibility with large consulting-led enterprise rollouts.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Remote Work Options

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

15%

1 year growth

15%

2 year growth

10%
PR Newswire
Mar 19th, 2026
Growth Protocol partners with Databricks to enable explainable AI on enterprise data via Delta Sharing

Growth Protocol has partnered with Databricks to enable enterprises to run its neuro-symbolic AI directly within Databricks Notebooks via a lightweight SDK. The integration allows companies to apply AI-driven decision workflows to sensitive data without moving it outside their existing governance frameworks. The platform uses neuro-symbolic AI to generate explainable, auditable business decisions by combining neural networks with symbolic logic. By leveraging Databricks Delta Sharing, Growth Protocol can securely access governed datasets without replication, whilst executing workflows within customers' compute environments. The SDK is currently in private preview with select enterprise partners, including EY and several Fortune 500 companies, with broader availability planned for Q2 2026. Growth Protocol CEO Miro Dimitrov said the technology enables faster, explainable decisions across pricing, portfolio strategy and go-to-market execution.