Engineering Manager

Runware · London, United Kingdom (Remote) · Full-time · Posted 2026-08-11

Workplace: remote

Department: Engineering Team

Description

We’re looking for an Engineering Manager to lead and grow our core engineering teams.

This is a hands-on leadership role sitting at the intersection of people management, delivery, and technical decision-making. You're a hands on manager comfortable going deep into technical discussions, challenging designs, and helping the team make the right trade-offs.

You’ll be responsible for building a high-performing team, ensuring predictable delivery, maintaining engineering quality, and partnering closely with Product, DevOps, and other engineering leaders to scale Runware’s platform.

Responsibilities

Team Leadership & People Management

Lead, mentor, and grow a team of engineers in a fast-scaling environment
Create a culture of ownership, accountability, and continuous improvement
Support individual growth through regular 1:1s, feedback, and coaching
Participate in hiring, onboarding, and performance management

Delivery & Execution

Own team execution: planning, prioritization, and delivery of engineering work
Ensure projects are delivered on time, with high quality and clear ownership
Identify risks early and proactively remove blockers
Balance speed, reliability, and technical debt in a pragmatic way

Technical & Architectural Oversight

Act as a technical sounding board on system design, architecture, and trade-offs
Ensure backend systems are scalable, reliable, and performant
Promote best practices around code quality, testing, observability, and security
Partner closely with other teams like DevOps and Product to align technical direction

Cross-functional Collaboration

Work closely with Product, DevOps, ML and other teams to ensure strong alignment
Translate business and product goals into clear engineering execution plans
Communicate clearly and proactively in a fully remote environment

Requirements

8+ years of experience in software engineering, with at least 3 years in an engineering management or tech lead role
Strong backend background (PHP, Python, Go, Rust or similar), with solid understanding of distributed systems
Proven experience leading teams and delivering complex technical projects end-to-end
Comfortable discussing system design, APIs, performance, and scalability
Experience with modern engineering practices: CI/CD, testing, code reviews, monitoring
Strong people leadership skills: empathy, clarity, and the ability to raise the bar without burning teams out
Excellent communication skills and ability to operate autonomously in a remote setup

Nice to Have

Experience working on high-scale platforms, infrastructure, or developer-facing APIs
Exposure to AI/ML platforms, inference systems, or performance-critical workloads
Previous experience in fast-growing startups or scale-ups

Benefits

We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life.

We move quickly and hold a high bar, but we also believe sustainable performance matters. After major releases and milestones, we create space for the team to properly unplug, recharge and come back with the energy to tackle what's next.

Generous paid time off – vacation, sick days, public holidays
Meaningful stock options – share in the upside you create
Remote-first setup – work from home anywhere we can employ you
Flexible hours – own your schedule outside core collaboration blocks
Family leave – paid maternity, paternity, and caregiver time
Company retreats – twice-yearly gatherings in inspiring locations

Please note: We are unable to offer visa sponsorship in the UK at this time. Candidates must have existing right to work in the UK.

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Apply at Runware

About the company

Runware.ai provides an ultra-fast, cost-effective platform to deploy AI-generated content. It runs AI workloads on custom hardware in renewable-powered, self-managed data centers and offers a flexible API so apps can use AI features without extra infrastructure or ML expertise. The Sonic Inference Engine powers rapid media generation, with real-time WebSocket connections, built-in redundancy, autoscaling, GPU allocation, and parallel pipelines to ensure reliability. A library of over 188,000 models (including LoRA and ControlNet) supports diverse media tasks, with a goal of democratizing access to advanced generative AI for businesses.

Company Size

51-200

Company Stage

Series A

Total Funding

$66M

Headquarters

London, United Kingdom

Founded

2023

Get referred to Runware

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Simplify's Take

What believers are saying

Runware launched Serverless on October 1, 2026 at $0.63 per GPU-hour.
Runware reported 10 pods deployed and 160 available sites across regions in 2026.
Wix, Together.ai, Quora, OpenArt, Freepik, and Higgsfield AI validate demand today.

What critics are saying

Fal.ai, Replicate, and WaveSpeed compress pricing and latency differentiation throughout 2026.
Sonic Pods demand heavy capital; low utilization turns 2027 capacity into stranded assets.
Hyperscalers can bundle GPUs and hosting, shrinking Runware’s price edge by 2027.

What makes Runware unique

Runware’s Sonic Pods bundle 1,200 GPUs into 20-foot modular inference containers.
Runware serves 400,000-plus models through one API across image, video, audio, language.
Runware routes traffic across a distributed network, not single-purpose fixed data centers.

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Benefits

Health Insurance
Remote Work Options
Flexible Work Hours
Unlimited Paid Time Off
Paid Vacation
Paid Holidays
Family Leave
Stock Options
Meaningful stock options
Company Retreats
401(k) Retirement Plan
401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

1 year growth

2 year growth

14%

Associated Press

Oct 1st, 2026

Runware launches serverless GPU platform with compute from $0.63 per hour

Runware has launched Runware Serverless, a GPU platform for running custom AI models, with pricing starting at $0.63 per GPU-hour — up to 50% less than typical hyperscaler rates. The platform runs on Sonic Pods, compact modular data centres that Runware designs and operates. Each pod fits around 1,200 GPUs into a 20-foot shipping container and takes an average of three weeks to manufacture. Runware Serverless supports image, video, audio, language and 3D AI workloads. Developers can deploy Python code or containers through Runware's SDK, CLI or API, whilst the platform handles scheduling, autoscaling and monitoring. The service offers NVIDIA GPUs including L40S, RTX PRO 6000, H100, H200, B200, B300 and GB300 NVL72 configurations. Billing is per-second, with options to reserve capacity or scale to zero when idle. Runware's platform is used by over one million developers.

TechCrunch

Aug 4th, 2026

Runware raises $50M to build portable data center pods for AI inference

Runware has launched the Sonic Inference Pod, a modular, transportable data centre designed to provide flexible AI compute capacity. The company believes distributed compute positioned closer to end users will win long-term over massive hyperscaler projects. The pods use closed-loop cooling rather than water and can be built in days, compared to months or years for traditional data centres. Runware can add capacity quickly by deploying new pods rather than expanding fixed facilities. The company currently has 10 pods deployed across the US, Europe, and Asia-Pacific, with 160 sites available. Runware raised $50 million in Series A funding in December to provide infrastructure for image generation. CEO Flaviu Radulescu acknowledged AI power consumption will increase regardless of supplier, but emphasised the pods avoid transmission losses and new grid capacity requirements.

TechCrunch

Dec 11th, 2025

Runware raises $50M Series A for real-time image and video generation API

Runware, a developer platform for real-time image, video and audio generation, has raised $50 million in a Series A round led by Dawn Capital, with participation from Insight Partners and a16z Speedrun. Founded in 2023 by Flaviu Radulesc and Ioana Hreninciuc, Runware enables developers to integrate its API into applications to generate media assets through a single interface, eliminating the need for separate infrastructure or integrations. The platform uses custom AI inference infrastructure for open-source models and provides immediate access to newly released models. The company has powered over 5 billion creations for more than 100,000 developers since launch. Dawn Capital Partner Shamillah Bankiya is joining Runware's board following the investment.

a16z

Nov 21st, 2025

a16z speedrun

We invest up to $1M in your new startup.

Tech Funding News

Sep 9th, 2025

Runware raises $13M for AI media

Runware, an AI-as-a-Service provider based in San Francisco, raised $13M in a funding round led by Insight Partners, bringing its total funding to $16M. Investors include a16z Speedrun, Begin Capital, and Zero Prime. The funds will expand Runware's capabilities to all-media workflows, including audio, LLM, and 3D. Founder Flaviu Radulescu highlighted their platform's ability to offer up to 90% lower inference costs than cloud providers. Runware evolved from the image creation tool PicFinder.

Runware

Engineering Manager

About the job