Forward Deployed Engineer
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Solutions-Engineering, Technical-Customer-Success, Pre-Sales-Engineer, Customer-Integration-Engineer, AI-ML-Services, Forward-Deployed-Engineer, Remote-Forward-Deployed-Engineer, Forward-Deployment-Engineer, Forward-Deploy-Engineer, Forward-Deployed-Engineering, Mid-Level-Forward-Deployed-Engineer, Forward-Deployed-Software-Engineer, Deployed-Engineer
- Source
- himalayas
- First observed
- 2026-08-19 23:12 UTC
- Last seen
- 2026-08-19 23:12 UTC
- Source claims posted
- 2026-08-19 21:51 UTC
- Consecutive misses
- 7 of 10
What the posting says
Location: Remote, right to work and travel in Europe.
At Albatross, we’re building the AI platform for real-time discovery, pioneering perception models that continuously perceive, reason, and adapt to live user behavior and dynamic catalogs. Today, Albatross serves tens of billions of predictions per year and orchestrates discovery across 150+ million products. Winner of the Tech for Retail 2025 Award, Albatross was founded by former Amazon AI leaders and is backed by MMC Ventures, Redalpine, and Daphni.
The Role
We’re looking for a Forward Deployed Engineer to join our go-to-market team, and own the technical deployment of Albatross primitives with our customers. You’ll work directly with customer engineering, data, and product teams to take deployments from initial integration through model launch and production. You’ll sit at the intersection of engineering, product, and sales: you’ll understand how a customer’s product works, adapt their data to our platform, configure our models for their use case, and drive the deployment through launch and measurable impact.
After a structured onboarding, proper training and support, you'll be ready to:
Own customer deployments end-to-end, from technical onboarding and data integration through production launch.
Act as the main technical point of contact for your customers, working closely with their engineering, data, and product teams, and keeping technical stakeholders aligned throughout a deployment.
Understand customer use cases, pain points, business objectives, and technical environments to ensure successful deployment.
Shape clients’ use case, translating business needs into a working technical solution alongside our R&D team.
Dive into client data to ensure quality and correctness.
Train and monitor ML models, using metrics and dashboards to track performance and drive impact.
Requirements
Degree in engineering or computer science.
Proficiency in Python or another scripting language.
Strong analytical skills and comfort working with complex datasets.
Experience in a customer-facing technical role.
Excellent communication skills, with the ability to explain technical concepts clearly to both engineers and non-technical stakeholders.
Comfortable operating in a fast-paced environment with evolving priorities and partially defined requirements.
Product and business judgment: you care not only about whether something works, but whether it moves the needle for the customer.
Fluent English; knowledge of other languages is an advantage.
Eligible to work in Europe.
Benefits
Full remote flexibility across Europe.
Yearly gross salary range € 50k - 60k
Originally posted on Himalayas
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 8 observation(s).
- + Days open - fineOpen for 0 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
Timeline
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#196921 2026-08-19 23:12 UTCPublished
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#198385 2026-08-20 01:13 UTCNot seenMiss 1 in a row
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#207055 2026-08-20 09:21 UTCNot seenMiss 6 in a row
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#208680 2026-08-20 11:22 UTCNot seenMiss 7 in a row