Publié il y a 4 mois
Forward Deployed Engineer (FDE)
@ Alguna
Canada
SIGNAUX
En bref
Alguna is hiring a full-time Forward Deployed Engineer to work directly with customers, understand their workflows, and ship integrations, custom workflows, data pipelines and product extensions. The role owns implementations end-to-end, from scoping through deployment, monitoring and iteration, and feeds repeated needs back into the product as reusable patterns.
Responsabilités :
- Work directly with customers to understand workflows and goals
- Build integrations, custom workflows and data pipelines
- Own implementations from design through deployment and monitoring
- Turn repeated customer needs into reusable product capabilities
- Triage and fix issues when customers are blocked
Résumé des exigences :
- Ships working solutions that run in production
- Comfortable with ambiguity and fast iteration
- Technical across codebases, APIs, data and infrastructure
- Communicates clearly between customers and engineering
- Uses AI tools for debugging, integration and scripting, owning correctness and security
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-07-15
- Première détection par notre source
- 2026-11-15
- Mise à jour du dossier source
- 2026-11-15
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Chez les clients, Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Alguna
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Description
You’re customer-obsessed: You want to live close to real users and real problems. You get energy from turning “this is painful” into “this is fixed.”
- You’re a builder who ships: You don’t just advise or prototype. You deliver working solutions that run in production.
- You thrive in ambiguity: Early-stage means unclear requirements, moving targets, and learning as we go. You can still make progress fast.
- You’re relentlessly pragmatic: You’ll make smart tradeoffs to get value out quickly, then iterate once we know what matters.
- You’re technical and versatile: You can jump across codebases, APIs, data, infra, and integrations. Whatever the bottleneck is, you go there.
- You communicate clearly: You can translate between customer context and engineering reality without losing nuance (or patience).
- You’re efficiency-obsessed: You automate repetitive work, reduce manual steps, and shorten time-to-value for customers.
- You use AI as leverage: You use AI tools to speed up debugging, integration work, scripting, docs, and iteration—while owning correctness and security.
- Work directly with customers: Understand their workflows, constraints, and goals. Help them succeed with Alguna, fast.
- Build forward-deployed solutions: Ship integrations, custom workflows, data pipelines, and product extensions that unlock customer value.
- Close the loop back into the product: Turn repeated customer needs into scalable product improvements and reusable patterns.
- Be reactive (in a good way): When something breaks or a customer is blocked, you jump in, triage, fix, and communicate clearly.
- Own implementations end-to-end (the fun kind): From “wait, what do you actually need?” → design → build → deploy → monitor → iterate. If it’s flaky at 2am, you’ll care.
- Create paved paths: Build templates, tooling, docs, and automation so the next customer goes live faster than the last.
- Partner cross-functionally: Work tightly with engineering, product, and customer success to prioritize, scope, and ship.
- Customers get to value quickly and stick around because things just work
- Repeated customer work turns into reusable, scalable product capabilities
- The team gets faster over time because you remove friction and build “paved roads”
- You reliably take messy real-world problems and turn them into shipped outcomes
Journal
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