Manager, Forward Deployed Engineering

🔥 0 minutes ago

🌐 Germany, United Kingdom – Remote

🇩🇪 Germany – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🖥 Software Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Parloa

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 Series B on 2024-04

Artificial Intelligence • Enterprise

Parloa is a leading global AI company with a vision to make every customer interaction as easy as talking to a friend. We amplify the customer service experience with our AI Agent Management Platform. This enterprise-grade platform automates contact centers by leveraging the full power of generative AI safely & reliably in the context of consumer interactions. It combines highly-skilled personal AI agents that engage in natural and unique conversations with every customer, with AI assistance for human agents when they get on the line. Global brands trust Parloa to connect with their customers, ensuring they feel heard through exceptional experiences that increase satisfaction, encourage sales, and build loyalty.

📋 Description

• Lead, hire, coach, and grow a team of forward-deployed engineers • Set clear expectations and conduct 1:1s, feedback cycles, and performance development • Allocate engineers across parallel strategic projects and manage load and utilization • Anticipate delivery bottlenecks and own capacity planning and staffing • Manage engineering delivery across deployments, including milestones, dependencies, risks, escalations, and stakeholder alignment • Implement time tracking and reporting for effort, progress, and capacity visibility • Provide technical leadership, review designs and code, and unblock high-severity production issues • Build reusable field engineering patterns, playbooks, and standards • Translate recurring customer needs into productization proposals • Partner with Product and Core Engineering to reduce one-off solutions • Collaborate with customer architecture, security, and platform teams to deliver outcomes and build long-term technical trust

🎯 Requirements

• 8+ years in software engineering, systems integration, DevOps, or data engineering roles with meaningful production responsibility • Proven ability to lead and develop engineers through management, team leadership, coaching, hiring, or performance growth • Demonstrated success delivering complex technical projects in large enterprise environments with multiple stakeholders and constraints • Strong capabilities across backend engineering, APIs, cloud platforms, Kubernetes, infrastructure-as-code, and databases • Ability to review designs and guide production decisions • Ability to personally own and drive smaller technical workstreams end-to-end • Ability to debug and implement technical solutions when necessary • Strong planning, prioritization, capacity planning, and risk management skills • Customer-facing communication skills with customer engineering teams and senior technical stakeholders • Clear written and verbal communication • Experience building or integrating AI/LLM-powered systems is a strong plus, ideally in forward-deployed or solutions engineering environments • Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, and MCP experience/knowledge

🏖️ Benefits

• Equal opportunities regardless of race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background, and other characteristics • GDPR and ISO compliance, including ISO 27001, in handling sensitive information