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Parloa

Manager, Forward Deployed Engineering

London
Posted 11 days ago
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Manager, Forward Deployed Engineering

About Parloa

Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As Manager, Forward Deployed Engineering at Parloa, you'll be on the front lines of enterprise AI adoption — leading a high-impact team of FDEs that delivers our most strategic enterprise deployments. Your mission is to ensure our consistent deployment excellence: predictable delivery, strong engineering quality, and fast unblocking in complex enterprise environments — while staying technically credible yourself.

FDEs are our in-field engineers. They build what doesn't exist yet, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. As Team Lead, you make that work repeatable and reliable across multiple customer projects — through strong delivery leadership, clear priorities, and hands-on technical guidance.

Areas of ownership:

  • Lead and develop the team: hire, coach, and grow a team of FDEs; set clear expectations; run 1:1s, feedback cycles, and performance development.
  • Own capacity planning and staffing: allocate engineers across parallel strategic projects, manage load and utilization, and anticipate delivery bottlenecks early.
  • Drive project delivery management: own engineering delivery across deployments — milestones, dependencies, risk management, escalation paths, and stakeholder alignment.
  • Establish time tracking and delivery visibility: implement lightweight tracking and reporting that creates trusted insight into effort, progress, and capacity (without bureaucracy).
  • Provide technical leadership and escalation support: guide architecture and implementation choices, review designs/code when needed, and unblock high-severity issues in production environments.
  • Create scalable field engineering practices: build reusable patterns, playbooks, and standards that improve reliability, maintainability, and speed across deployments.
  • Shape the product via field learnings: translate recurring customer needs into clear productization proposals and partner with Product/Core Engineering to reduce one-offs over time.
  • Partner with customer engineering and enterprise stakeholders: collaborate directly with customer teams (architecture, security, platform) to deliver outcomes and build long-term technical trust.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Our Tech Stack:

Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP

Who you are:

  • Experience level: 8+ years in software engineering, systems integration, DevOps, or data engineering roles with meaningful production responsibility.
  • People leadership: proven ability to lead and develop engineers (e.g., formal management, team lead responsibility, coaching, hiring, performance growth).
  • Enterprise delivery track record: demonstrated success delivering complex technical projects in large enterprise environments with multiple stakeholders and constraints.
  • Technical breadth and depth: strong capabilities across backend engineering, APIs, cloud platforms, Kubernetes, infrastructure-as-code, and databases — able to review designs and guide production decisions.
  • Hands-on effectiveness: able to personally own and drive smaller technical workstreams end-to-end and to jump into debugging/implementation when necessary.
  • Operational excellence: strong planning, prioritization, capacity thinking, and risk management; creates delivery clarity without unnecessary process overhead.
  • Customer-facing communication: confident and credible with customer engineering teams and senior technical stakeholders; clear written and verbal communication.
  • Strong plus: experience building or integrating AI/LLM-powered systems (agent workflows, orchestration, evaluation, vector DBs, guardrails), ideally in forward-deployed or solutions engineering environments.

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Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We're at the beginning of a new era in customer experience, one where AI doesn't just respond, but understands, reasons, and takes action. We're building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren't just support tickets; they're defining experiences. We're here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn't a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that's evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We've grown beyond the earliest startup phase, but we've kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.

We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Skills

Software Engineering
Systems Integration
DevOps
Data Engineering
Project Delivery Management
Technical Leadership
Capacity Planning
Risk Management
Customer Communication
Backend Engineering
APIs
Cloud Platforms
Kubernetes
Infrastructure-as-Code
Databases
AI Systems

Location

London, England, United Kingdom

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