Product Engineer

Safi

Safi’s mission is to make circular economy firms more profitable through the deployment of AI Technology. We do that by developing foundational models, software and data connectors. In this role you will deploy our technology with customers and help them use it to improve their plants. Why Safi? Our customers are industrial recyclers of plastic and metals - manufacturers, processors, smelters. These firms are held back by limited, legacy technology. Our current customers include one of the world’s largest recycling plants and a group that processes the entire plastic waste stream of a major developed nation. We have product-market fit and strong customer traction in an under-served market. We want to expand on that traction to manage the entire end to end lifecycle of plants in multiple sectors. We’re backed by leading climate-focused VCs, including LowerCarbon Capital, Nosara Capital and Transition Ventures. If our mission resonates with you, we encourage you to apply, even if your experience doesn’t match every requirement. Who we’re looking for: We're at an early stage with a small team. We need an experienced Staff Software Engineer / Tech Lead to deeply understand these plants and help us automate and improve them. You: * Own technical direction. You make the call on how core systems are designed and built, not just on the code in front of you - and you can justify those calls in terms of pace, reliability, and what the business needs next. * Raise the bar of strong engineers around you. Not via management, but via shipped work, the architecture you set, and the questions you ask in PRs and design reviews. * Have experience working with a high degree of autonomy, quickly and with a large set of competing problems to tackle (and enjoy it!). * Have experience taking products from 0 to 1 (and then from 1 to 100!) - and have made the architectural decisions that let a system survive that transition. * Are excited about deploying technology at real-world industrial sites. * Can take a problem from "I saw something that could be improved at a plant" to a shipped feature in our app deploying at the plant, end-to-end, within a sprint or two. * Can work closely with customers - assessing (not just blindly following) what they say, observing their operations and understanding what is the critical thing to impact. * Are interested in commercial questions (how much do we charge for this?), deployment (what's the right UI for forklift engineers wearing gloves?) and AI/ML (what can we build that is 10x better than their current ERP process?). * Can work shoulder-to-shoulder with our ML team. You don't train models but turn their outputs into something a forklift driver and a procurement manager both want to use. Requirements: * You have led multiple user-facing projects end-to-end, and can scope and define projects for others to work on alongside you. * You can own system design and architecture for a production product, and have examples of architectural decisions you made and the trade-offs behind them. * Deep Experience with the majority of our stack and have examples of filling experience gaps quickly * Python * Django and DRF * React and React Native * PostgresQL * Google Cloud * Experience monitoring reliable systems and recovering from outages * You know how to see an alert in production and dig in to deliver a resolution. * At least 5 years in an environment where shipping fast is important. * You are comfortable delivering at pace but with strong monitoring and testing fundamentals so that software is robust and easily fixable * Happy to travel to a customer site or our London HQ regularly (i.e. avg. once per month) (expenses covered by Safi, of course) * If remote, timezone +/-2 hrs of London The process: * Screening Call (15 mins) * Product Challenge (1 hour with our CPO) * Working session with our Engineers - Using your own development tools (60 to 90 mins) * Technical Challenge - System Design and Architecture (1 hour) * Final Chat, Q+A (30 mins) Compensation and Benefits: * Competitive salary and share option plan * Salary varies based on location and level of experience. For a candidate in London, UK we expect to pay between £140,000 - £160,000, dependent on seniority * 26 days annual leave (+ all UK bank holidays) - the bank holidays are flexible, so you can take them whenever it suits you * HQ in Spitalfields, East London, UK * Personal wellness & development budget of £75 per month * Home office kit-out budget of £500 * Regular team socials and meals * Private health insurance (UK) * Salary sacrifice pension scheme (UK) * Cycle to work scheme (UK) We welcome applicants from all backgrounds and do not discriminate on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race or ethnicity, religion or belief, sex, or sexual orientation. If you require reasonable adjustments at any stage, please let us know.

CetaSol AB

Build the future of AI-powered maritime sustainability At Cetasol, we're building AI products that help shipping companies reduce fuel consumption, lower emissions, and operate more efficiently. Our platform combines real-time vessel data, cloud services, AI, and intuitive user experiences to help captains and fleet operators make better decisions every day. We're looking for a Product Engineer who enjoys solving customer problems end-to-end rather than working within narrowly defined technical boundaries. You'll work closely with product, design, AI engineers, and customers to turn ideas into impactful features that are used on vessels around the world. If you thrive in fast-moving environments, enjoy taking ownership, and love using modern AI-assisted development tools to build exceptional software, we'd love to meet you. What you'll do As a Product Engineer, you'll own features throughout their entire lifecycle—from idea to production. You'll: Design, build, and ship customer-facing features across web, cloud, and mobile platforms. Work closely with customers, designers, and AI engineers to understand problems and rapidly validate solutions. Develop scalable backend services, APIs, and modern frontend applications. Build intuitive experiences that make complex vessel and AI data easy to understand. Use AI-powered development tools such as Claude Code, Cursor, Codex, or similar to accelerate development and improve software quality. Improve product performance, reliability, security, and scalability. Participate in architecture decisions while balancing technical excellence with customer value. Write clean, well-tested, maintainable code and contribute to a strong engineering culture. Continuously iterate based on customer feedback and product analytics. What we're looking for We care more about your ability to build great products than checking every technology box. Experience 5+ years of professional software engineering experience. Experience building and shipping customer-facing SaaS products. Strong product mindset with the ability to translate user problems into elegant technical solutions. Comfortable working across the full stack when needed. Technical Skills Experience with several of the following: TypeScript (React, Node.js) Python (FastAPI or similar) REST APIs and microservice architectures AWS cloud services (Lambda, Cognito, S3, DynamoDB, PostgreSQL, Timestream, etc.) Docker and containerised deployments Infrastructure as Code, preferably AWS CDK CI/CD pipelines and modern DevOps practices AI-First Engineering We're looking for engineers who embrace the next generation of software development. You should be comfortable using tools such as: Claude Code Cursor Codex GitHub Copilot or similar AI development environments These tools are part of our everyday workflow and help us build faster while maintaining high quality. Bonus Points Experience in one or more of these areas is a plus: Data visualisation or geospatial applications Flutter mobile development Android development and hardware integrations (USB, Bluetooth, Serial) Real-time data systems AI/ML product integration Cloud monitoring and observability (Datadog) Performance optimisation of distributed systems Data analysis and experimentation What you'll get Build AI products that have a measurable environmental impact. Work with a highly experienced, collaborative team across engineering, AI, product, and design. A high degree of ownership and influence over both product and technology. Modern engineering workflows built around AI-assisted software development. Flexible working environment with opportunities for continuous learning. Competitive salary and benefits. The opportunity to shape the future of sustainable maritime operations. Why Cetasol? At Cetasol, we believe software and AI can fundamentally transform one of the world's largest industries. Every feature you build helps vessels consume less fuel, emit less CO₂, and operate more efficiently. You'll be joining a small, ambitious team where your ideas matter, your code reaches production quickly, and your work has real-world impact. If you're excited about building AI-powered products that make a difference, we'd love to hear from you. Join us and help shape the future of sustainable shipping.

Lovable Labs Sweden AB

We're seeking exceptional Fullstack Product Engineers to help build the future of AI. You will work across our entire stack to build features that will empower the rnext generation of creators and builders. What we're looking for • 5+ years of experience building and shipping full-stack products • Fluent in modem frontend (React/TypeScript) and backend development • Solid understanding of systems design, performance tradeoffs, and scalable architecture • Strong product sense and ability to make well-reasoned technical decisions, knowing when to prioritize speed and when to invest in foundational work What you'II do In one sentence: Do all it takes to build a generational product and scale the core experience of lovable products • lmplement and maintain features across the full stack: frontend, backend and infra • Own systems end-to-end: architecture, implementation, deployment, and iteration • Collaborate closely with ML, design, and product teams to translate capabilities into intuitive, mind-blowing user experiences • Drive the full development lifecycle, from technical planning to production launch and post-release improvements •Contribute to shaping our technical direction, culture, and product strategy Our tech stack We're building with tools that both humans and Al love: • Frontend: React • Backend: Golang and Rust • Cloud: Cloudflare, GCP, AWS, Many LLM providers • DevOps & Tooling: Github Actions, Grafana, OTEL, infra-as-code (Terrafonn) And always on the lookout for what's next!