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Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You're excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You're motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Find Jobs in France on Arbeitnow

Roger is the operating system for dental clinics. We automate the workflows that dental teams shouldn't be doing manually – from treatment plans to patient communication to revenue optimization. We're early, well-funded, and moving fast. We're looking for a Senior Software Engineer who wants to own real problems, not just tickets. Tasks Profile & Experience Senior-level with significant experience shipping and operating production systems Track record of owning projects end-to-end: from concept through delivery to production Experience working cross-functionally with Product, Design, Data, and other stakeholders Preferred stack: Ruby on Rails, Go, Dart/Flutter – but strong fundamentals matter more than specific languages How You Work You think beyond your own code – you understand business context, user needs, and product goals You take ownership proactively and drive projects to completion without waiting for instructions You communicate openly and clearly with stakeholders, technical and non-technical alike You make decisions under ambiguity and escalate when it matters You enable other engineers through code reviews, knowledge sharing, and raising the bar Agentic Engineering Mindset You use AI agents as a force multiplier – not a crutch. You orchestrate, review, and own the output You write specs and plans before prompting. You know that skipping design thinking is where projects fail, not the AI You review AI-generated code with the same rigor as any PR – if you can't explain what a module does, it doesn't ship You test relentlessly. A solid test suite is how you turn an unreliable agent into a reliable system Your fundamentals are strong enough to evaluate, correct, and improve whatever AI produces – architecture, security, performance You understand the spectrum: you know when to vibe-code a prototype and when to apply full engineering discipline Requirements What We Expect Own scope, timelines, and stakeholder alignment for your projects Make and be accountable for technical decisions Build and maintain broad context – know the system, not just your service Continuously raise engineering standards: testing, documentation, CI/CD, observability Actively shape how the team works with AI tooling – contribute to evolving our practices as the technology matures Benefits Why Roger? A market worth billions that still runs on fax machines and phone tag. The opportunity is absurd A team small enough that your decisions shape the product – not a committee's Hard, interesting problems in a space most tech companies ignore Engineers who care about craft – we argue about architecture, not politics Competitive salary, equity participation, and solid benefits – we'll talk specifics in the process Find Jobs in Germany on Arbeitnow

About the job Lead the system software organisation that turns complex hardware platforms into reliable Graphcore systems. As Director of System Software, you will report to the VP of Software and turn software strategy into clear priorities, plans and outcomes. You will lead the teams delivering firmware, drivers, OpenBMC and system software QA. Your work will shape platform bring-up, production release and long-term support across Graphcore systems. You will align technical decisions with business priorities, delivery milestones and product readiness. You will build a strong engineering organisation, developing managers, technical leaders and engineers. You will own execution, quality and cross-functional delivery across hardware, silicon, software and product teams. This is a role for a leader who can think big, act fast and take responsibility for complex system outcomes. The team and culture System Software works close to the hardware, where small decisions can shape product reliability at scale. The team operates through clear ownership, evidence-based planning and direct technical debate. You will lead managers and specialists across firmware, drivers, OpenBMC and QA. Decisions are made through engineering judgement, clear trade-offs and a strong focus on delivery impact. You will be expected to speak up, challenge assumptions and help resolve issues across hardware and software boundaries. Pace matters, but so do maintainability, security and long term quality. What we're looking for · A strong track record leading system software teams across closely coupled hardware and software programmes. · Experience managing managers or multiple technical teams, with clear ownership of delivery outcomes. · Proven ability to build, coach and develop engineering leaders through change and technical uncertainty. · Strong judgement across planning, resourcing, dependencies, risk and production release readiness. · Experience embedding validation, automated testing, hardware-in-the-loop testing and clear release criteria. · Credible technical breadth across firmware, drivers, OpenBMC, QA or related low-level software domains. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous leave: Take time to rest, recharge and enjoy life outside of work · Retirement planning support: Up to 5% matched pension · Phantom equity: Share in Graphcore's success · Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day · Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones · Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice · Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover · Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Join the Team at Graphcore Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to lead the system software organisation behind Graphcore's next generation platforms, we'd love to hear from you. Apply now to be part of the journey. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About the job Explore how a next-generation AI architecture behaves from rack scale to data centre scale. As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will work on problems where answers aren't readily known, turning curiosity into measurable evidence. You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn this into new measurements. Your work will help infrastructure engineers, architects and application specialists understand system behaviour, performance, scalability and reliability across the stack. You will also help develop tooling and automation to collect, analyse and visualise system metrics. You do not need to be an AI expert. You will need strong judgement, curiosity and a clear preference for evidence over opinion. You will love this role if you are someone who takes initiative, questions assumptions and enjoys working in areas where the answers are not yet known. The team and culture The System QA team is distributed across multiple locations. We work hard to stay connected and collaborate closely. Our daily team meetings feel more like a virtual coffee break than a formal status update with space to share ideas, ask questions, discuss discoveries and solve problems together. We value trust, autonomy and openness, and we understand that great engineers don't all follow the same career path. What matters is the quality of your work, your curiosity, and your willingness to explore challenging problems. You will have regular 1:1s with your people manager where you will have the opportunity to discuss things that matter to you. You will have dedicated time each week to focus on your CPD. The technical lead will provide direction and help set priorities, but everyone in the team is there to support each other. One of our core principles is that we measure and report what we observe without trying to make results look better or worse than they are. What we're looking for Comfortable using Python to write tests, automate tasks, analyse data or develop practical engineering tools. Strong analytical and problem-solving skills. A curiosity-driven approach to investigating complex systems. Ability to explain technical findings clearly, using accurate and reproducible evidence. Confidence to work independently, take responsibility and collaborate across engineering teams. Experience in some of the following would be valuable: AI workloads and benchmarking, systems architecture, parallel and distributed computing, automation, containers or modern orchestration infrastructure While we have outlined a set of requirements, we value transferable skills and diverse experiences from different industries. We actively welcome applications from engineers to the profession through a returnship or after a career break. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to explore how complex AI systems really behave, we'd love to hear from you. Apply now to join the Systems Engineering team. Find Jobs in United Kingdom on Arbeitnow

About Singular Photonics: Singular Photonics is a fast-growing fabless semiconductor start-up, developing Single-Photon Avalanche Diode (SPAD) sensors that bring advanced computation directly into imaging. Our sensors enable innovations across LiDAR, fluorescence lifetime imaging (FLIM), spectroscopy and time-resolved optical measurements, powering next-generation solutions for customers worldwide. Based at Orchard Brae House in Edinburgh, we are a close-knit team at the forefront of the photonics revolution. About the Role: We are seeking an FPGA Firmware Engineer to join our multidisciplinary R&D team. This is an FPGA role: you will design, implement and verify the Verilog firmware that powers our SPAD sensors, captures photon timing data at high rates and streams it to the host. Our sensors generate data faster than most imaging systems ever see, so the interesting problems here are real ones: clock domain crossing, timing closure and getting data off the device without losing a photon. You will work alongside our hardware, ASIC and software engineers, from architecture through to system bring-up and customer deployment. You will report to the Lead Firmware Engineer. Key Responsibilities: Architecture: Define FPGA requirements and architecture for SPAD sensor readout, in discussion with the hardware, ASIC and software teams. RTL Design: Implement, verify and debug Verilog modules for data acquisition, photon timing, histogramming and sensor control. Verification: Design and run simulations and testbenches, with coverage sufficient to trust the design before it reaches hardware. Synthesis & Timing: Own synthesis, constraints, clock domain crossing and timing closure on AMD-Xilinx FPGA family devices in Vivado. High-Speed Interfaces: Build and integrate the high-speed interfaces that move sensor data: PCIe, USB3, Ethernet, AXI interface, MIPI, LVDS, SLVS, Camera Link. Bring-Up & Debug: Lead firmware bring-up on new boards and sensors, debugging with oscilloscopes, logic analysers and in-system probes. Source Control & Build: Keep RTL under version control with a repeatable, automated build, and document designs to the standard our ISO 9001 design control process requires. Reviews & Support: Contribute to design reviews, and support the software team and customers during field integration. Experience & Skills: Essential: Strong proficiency in Verilog, and a solid grounding in RTL design, synthesis and timing closure. Hands-on experience with AMD-Xilinx Vivado and its toolchain. Experience writing your own testbenches and verifying a design in simulation before hardware. Experience bringing up firmware on real hardware and debugging it in the lab. Experience with at least one high-speed interface or bus at RTL level. Comfortable in a small company where priorities shift and everyone pitches in. Working with complex, existing codebases and seamlessly integrating new functionality with minimal disruption. Desirable: SystemVerilog, and verification practices beyond directed testbenches. Comfortable working in Linux operating systems. Exposure to any of PCIe, AXI interface, USB3, Ethernet, MIPI, LVDS, SLVS or Camera Link. C, C++ or Python for embedded software integration and test automation. Experience with image sensors, time-of-flight, TDCs or single-photon detection. Familiarity with PCB design tools such as Altium Designer, and reading schematics during debug. Educational Background: Degree in Electronics Engineering or a related field, or equivalent practical experience. 2-5 years' experience in FPGA and digital design. Key Attributes & Behaviours: Rigour: Disciplined about verification - you would rather find it in simulation than on the bench. Debugging: Systematic when the fault could be in the RTL, the board or the sensor, and comfortable with the instruments that tell you which. Clarity: Writes documentation and code that colleagues can pick up without you in the room. Collaboration: Works well across the hardware, ASIC and software boundaries rather than only inside the FPGA. Ownership: Takes a problem from architecture through to a working system, and sees it through. Adaptability: Comfortable in a fast-paced, evolving environment where the requirement can move. Success Indicators: Firmware that meets timing and functions correctly on first hardware more often than not, with issues found in simulation rather than on the bench. Effective bring-up and debugging support during prototype validation and customer deployment, with hardware and firmware issues resolved promptly. Design documentation, simulation coverage and design review contributions good enough for another engineer to maintain the work. Benefits of Joining Singular Photonics At Singular Photonics, we are committed to fostering a rewarding and supportive environment for our team. As an FPGA Firmware Engineer, you will benefit from: Pension: 5% company contribution. Share Options: Participation in the Company EMI Share Option Scheme, so you share in the growth you help build. Enhanced Annual Leave: 35 days paid annual leave per year, inclusive of UK public holidays. Hybrid Working: Primarily office-based, with flexibility to work remotely up to two days per week (full time worker). Career Growth: Work on silicon and systems few engineers get near, with the chance to shape how we do FPGA development as the team grows. Additional Benefits: [Cycle to work and private medical insurance (once implemented) Why Join Us This position offers a rare opportunity to work at the forefront of SPAD sensor technology, driving innovation and shaping future applications in photonics and imaging. At Singular Photonics you will be part of a passionate, close-knit team, where the work you do is visible in the product and in the hands of customers. Location & Work Environment Based at Orchard Brae House, Queensferry Road, Edinburgh. This is a full-time, permanent role. The work is hands-on with hardware in our lab, so it is primarily office-based, with flexibility to work remotely up to two days per week. Right to work in the UK is essential. We are unfortunately unable to offer visa sponsorship for this role. Equal Opportunities Singular Photonics is an equal opportunities employer. We welcome applications from all qualified candidates and make appointments on merit, regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex or sexual orientation. If you need any adjustments to the application or interview process, please let us know and we will do what we can to accommodate you. Find Jobs in United Kingdom on Arbeitnow

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers' financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. The Role We're building the Advisory Intelligence Platform: Codat's client intelligence delivered inside the assistant a banker already uses (Microsoft Copilot first). Ask it anything about a client and it answers from the client's real books. Don't ask, and it still tells you what's changed, why it matters and what to do about it. Under it we're building the semantic layer, so every answer uses the same definitions, the signal layer that spots what's changed for a client, and the reasoning layer, a Codat-side LLM that turns those signals into advice. The first bank goes live this year. You'll be building the data and reasoning behind all of it. This is a hands-on job for software engineers who want to build the systems a model reasons over, not configure a warehouse. Codat is AI-first, not AI bolted onto SaaS. The product lives inside the AI assistant our clients already use, and we build it the same way: agents do the repetitive work, engineers do the hard parts. You'll build it and you'll run it. Nobody hands it over the wall once it's live. You'll also get a real say in where it goes next. That means making your case to engineers, product and the commercial team, and bringing them along with you. What You'll Work On The semantic layer. Measures, dimensions and definitions the model is allowed to use, so every answer it gives is the same answer. Yours to grow, persona by persona. The signal layer. Detecting what's changed for a client and surfacing it before the banker asks. You'll be designing and building this. The reasoning layer. A Codat-side LLM that turns signals into advice. Our calculations are the ground truth it reasons over. You own the calculations the model relies on, and the names, definitions and structure that let it pick the right one. The agents and MCP (Model Context Protocol) servers behind the assistant. What tools it has, how they're built, how they fail, and the evals that prove they work. Everything from raw source data to the number the assistant quotes: the pipelines, services and data models, with the testing and observability to prove the number is right and the evals that catch the model quoting the wrong one. You'll Probably Have Built production systems from scratch, writing the code yourself rather than configuring managed services. You think about interfaces, failure modes and how the next person will change your code. If we ask about the hardest system you've built, you'll have a story ready. Served data to an LLM and seen where it goes wrong: ambiguous definitions, poor retrieval, no evals. You know why "the model will work it out" isn't a data strategy. Worked with data along the way, and liked it. You may never have been called a data engineer. You've built things that move, shape and serve data, and you know how they break, and how a model breaks on top of them. Solid C#, Python or another backend language. Your code comes with tests, and you leave things tidier than you found them. Depth in at least one of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal or dbt. Bonus if you've shaped any of them into something a model can query, through a metrics layer, metric views or an MCP server. Time with CI/CD, Docker, cloud infrastructure (we're on Azure) and observability. Even better if you set them up for a team. An interest in the business behind the data. If someone asks for a number the data can't support, you'll say so, and you'll build the guard-rail so the model says so too. Treated your own workflow as something to engineer. AI has already taken over the repetitive parts of it, and you're the person others ask how to do the same. How We Work We're a small team with plenty to do. Things move fast: we'd rather ship something useful and improve it than polish it in private. What you build is yours from start to finish. There's no return-to-office mandate, and you can work hybrid or fully remote. We trust you to be around when the team needs you and to deliver what you said you would. What we don't want is anyone staying online late to prove a point. Compensation: £95K – £120K • Offers Equity • £95K – £120K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers' financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. The Role We're building the Advisory Intelligence Platform: Codat's client intelligence delivered inside the assistant a banker already uses (Microsoft Copilot first). Ask it anything about a client and it answers from the client's real books. Don't ask, and it still tells you what's changed, why it matters and what to do about it. Under it we're building the semantic layer, so every answer uses the same definitions, the signal layer that spots what's changed for a client, and the reasoning layer, a Codat-side LLM that turns those signals into advice. The first bank goes live this year. You'll be building the data and reasoning behind all of it. This is a hands-on job for software engineers who want to build the systems a model reasons over, not configure a warehouse. Codat is AI-first, not AI bolted onto SaaS. The product lives inside the AI assistant our clients already use, and we build it the same way: agents do the repetitive work, engineers do the hard parts. You'll build it and you'll run it. Nobody hands it over the wall once it's live. You'll also get a real say in where it goes next. That means making your case to engineers, product and the commercial team, and bringing them along with you. What You'll Work On The semantic layer. Measures, dimensions and definitions the model is allowed to use, so every answer it gives is the same answer. Yours to grow, persona by persona. The signal layer. Detecting what's changed for a client and surfacing it before the banker asks. You'll be designing and building this. The reasoning layer. A Codat-side LLM that turns signals into advice. Our calculations are the ground truth it reasons over. You own the calculations the model relies on, and the names, definitions and structure that let it pick the right one. The agents and MCP (Model Context Protocol) servers behind the assistant. What tools it has, how they're built, how they fail, and the evals that prove they work. Everything from raw source data to the number the assistant quotes: the pipelines, services and data models, with the testing and observability to prove the number is right and the evals that catch the model quoting the wrong one. You'll Probably Have Built production systems from scratch, writing the code yourself rather than configuring managed services. You think about interfaces, failure modes and how the next person will change your code. If we ask about the hardest system you've built, you'll have a story ready. Served data to an LLM and seen where it goes wrong: ambiguous definitions, poor retrieval, no evals. You know why "the model will work it out" isn't a data strategy. Worked with data along the way, and liked it. You may never have been called a data engineer. You've built things that move, shape and serve data, and you know how they break, and how a model breaks on top of them. Solid C#, Python or another backend language. Your code comes with tests, and you leave things tidier than you found them. Depth in at least one of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal or dbt. Bonus if you've shaped any of them into something a model can query, through a metrics layer, metric views or an MCP server. Time with CI/CD, Docker, cloud infrastructure (we're on Azure) and observability. Even better if you set them up for a team. An interest in the business behind the data. If someone asks for a number the data can't support, you'll say so, and you'll build the guard-rail so the model says so too. Treated your own workflow as something to engineer. AI has already taken over the repetitive parts of it, and you're the person others ask how to do the same. How We Work We're a small team with plenty to do. Things move fast: we'd rather ship something useful and improve it than polish it in private. What you build is yours from start to finish. There's no return-to-office mandate, and you can work hybrid or fully remote. We trust you to be around when the team needs you and to deliver what you said you would. What we don't want is anyone staying online late to prove a point. Compensation: £90K – £110K • Offers Equity • £90K – £110K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Software Engineer Location: Belfast Contract: Full time, Permanent EverQuote is seeking a forward thinking Software Engineer to join our market-leading insurance lead amplification platform! As a Software Engineer, you will be at the heart of a platform that connects millions of American home and auto insurance customers to major and regional providers. You will be instrumental in the design and delivery of our main public facing platform and the sophisticated supporting tools that power it. Joining a highly capable, motivated, and fully empowered team, you will work in a fast moving, Agile, and data led environment where a "test and learn" mentality and A/B testing are core to our success. You will shine as a mentor, providing technical insight while being empowered to innovate in both solution delivery and developer productivity. Agent First & Innovation Led: We are an Agent First organization. You will be responsible for pioneering agentic workflows within our SDLC, leveraging Anthropic Claude to boost developer productivity. Our team is committed to cutting edge innovation, leveraging Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and advanced analytics data aggregation to drive system feedback and continuous improvement. Who You Are: Humble, Hungry, Smart ​​What You'll Be Doing: Architect and deliver high impact features for our main public facing insurance marketplace and internal toolsets. Drive innovation in UX and implement advanced AI patterns including RAG and MCP to enhance platform intelligence. Coach and mentor junior engineers within the team and organisation. Champion our Agent First philosophy by driving agentic enablement across our development lifecycle. Utilize analytics data aggregation to create feedback loops for continuous system and process improvement. Proactively engage with cross functional stakeholders including Product Managers and Architecture team. Essential Criteria: A third level degree in an Information Technology or Computer Science related field. You will have 2+ years of professional programming experience including experience at a software product company. You have experience in the following disciplines; supporting cloud platforms at scale (AWS), working with infrastructure as code. Hands-on Back-End Experience. You are proficient in Typescript. You are experienced in continuous integration and deployment tools. Desirable Criteria: You have a security-first approach with a strong focus on secure delivery of application software and cloud infrastructure. You have experience with container based solutions such as Docker, Kubernetes. You are proficient in deploying infrastructure as code. UI development experience (e.g. React). Engineering systems/applications at scale. Serverless architectures. Continuous integration and deployment tools. Container orchestration environments (preferably Kubernetes) and observability platforms. Everquote offers a competitive salary and total compensation package including bonus and a comprehensive range of health and wellbeing benefits. Statement on Fair Employment and Equal Opportunities EverQuote NI is committed to ensuring equal opportunity for all job applicants and employees. We will not discriminate on the grounds of religious belief, political opinion, race, gender (including gender reassignment), sexual orientation, marital or civil partnership status, pregnancy or maternity, age, or disability. As a registered employer in Northern Ireland, EverQuote NI complies with the Fair Employment and Treatment (Northern Ireland) Order 1998. As part of the application process, you will be asked to complete a fair employment monitoring form; this information is used solely for monitoring purposes and does not form part of the shortlisting or selection decision. EverQuote NI carries out background checks on all candidates offered a position. A criminal record will not automatically disqualify you from working with EverQuote NI Limited; each case is considered on its individual merits in line with our fair recruitment practices. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any reasonable adjustments or accommodations at any stage of the interview process, please let us know and we will work with you to arrange them. For more information, visit https://investors.everquote.com and follow on LinkedIn . Find more English Speaking Jobs in United Kingdom on Arbeitnow

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. Example projects These are some examples of projects that engineers on our team have worked on recently: Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog ! Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers What you'll bring Experience building and scaling end-to-end production systems Strong technical problem-solving skills, especially in fast-changing, ambiguous environments A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship Comfort working directly with customers to understand their needs and solve real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full-time employees: Flexible (unlimited) paid time off Medical, dental, and vision benefits for you and your family Life insurance and disability benefits Retirement plan dependent on country of employment Parental leave Fertility and family building benefits through Carrot Lunch, as well as delicious snacks and coffee to keep you energized Discretionary benefit stipend giving people the ability to spend where it matters most Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. Compensation: £120K – £140K • Offers Equity • £120K – £140K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara interns dive into challenging, real-world projects with the same freedom and responsibility as our full-time engineers. You won't just be learning; you'll be building and making a tangible impact on our global customers from day one. You'll join a team working at a scale few engineers encounter early in their careers: millions of IoT devices deployed globally, petabytes of real-time data, and software that directly affects the safety of people doing some of the most essential work in the world. You'll be paired with an Engineering mentor, get rare exposure to customers, and have visibility to engineering leadership throughout your internship. You'll also have access to the latest AI tools, with generous token allotments, giving you the leverage to ship more and learn faster. At Samsara, interns can work on a wide range of high-impact engineering challenges across our connected operations platform. Depending on the team, an intern may help build the backend infrastructure that powers our IoT platform, scaling data ingestion and storage systems that support over 15,000 hardware assets and tens of thousands of customers around the world. They may also work across the full stack, creating intuitive user experiences that turn data into actionable insights, while partnering closely with product and design to rapidly iterate on features that deliver real customer value. On the mobile side, an intern could help strengthen the infrastructure behind our React Native app, enabling feature teams to move quickly and build performant, maintainable products. For those focused on embedded software, projects may include building and maintaining software that runs directly on Samsara hardware, spanning areas like edge AI, multimedia frameworks, power management, and real-time data processing in demanding real-world environments. Throughout the interview process, we will dig into your past experience, what you are most interested in learning next, and where you would be the best fit across our engineering teams. Our engineering teams use Golang for backend development, TypeScript and React for the web client, GraphQL for data access, and React Native for mobile development. Direct experience with this exact stack is not required, but experience with similar technologies is strongly encouraged. You should apply if… You want to impact the industries that run our world. The software you build will help keep the lights on, get food into grocery stores, and - most importantly - ensure workers return home safely. You want to build for scale. You'll work on technology that powers physical operations at a scale most engineers never experience. You believe customers are more than a number. Our engineers are deeply invested in our customers and the daily problems they face. They visit customers in person to understand not just how Samsara helps them today, but where our products need to go next. You'll participate in customer interviews, collaborate with success and product teams, and use metrics to ensure your work translates into real outcomes. You're curious and self-driven. You challenge yourself outside of class - hackathons, side projects, tearing apart how something works just because you want to understand it. You move fast, embrace new technology, and treat learning as constant. You're drawn to hard problems and own them end to end. You dig into complexity, research it thoroughly, and find the simplest solution that works - then see it through, holding yourself to a high standard along the way. You're AI-forward. You've woven AI into how you work, whether that's accelerating debugging, drafting code, or exploring unfamiliar problem spaces faster. You're quick to experiment and always looking for smarter ways to build. You're a collaborator. You work well independently and across cross-functional teams, and you're motivated by winning together, not just individually. Minimum requirements for the role: Currently in your penultimate year of study (or second-to-last year of an integrated Master's / MEng), on track to complete a Bachelor's or integrated Master's degree in Computer Science, Mathematics, Software Engineering, Physics, or Data Science, with expected graduation no earlier than Summer 2028. This internship is hybrid: 3 days per week in our London office. This internship is a full-time, paid experience — interns are expected not to be enrolled in school or university full-time while working at Samsara. In your application Include your CV / résumé. Answer all of the application questions. We're reviewing applications on a rolling basis, and we expect to finalize our cohort by late November/early December. Applications will close October 30th at 6:00pm (UK). Please do not email us to inquire about the status of your application. We know that applying for internships can be time-consuming, and we truly appreciate your effort. We're looking forward to learning more about you through your application. Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in ----- ----- or ----- For more information regarding fraudulent employment offers, please visit our blog post here . Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Are you a recent or upcoming graduate ready to launch your career at the forefront of industrial IoT? Join us and help shape the future of connected operations. You will immediately dive into challenging, real-world projects with the freedom and responsibility of a full-time engineer. We believe in providing a greenfield opportunity for growth and a high degree of ownership from day one. You will build and innovate, making a tangible impact on our global customers. You'll also have access to the latest AI tools, with generous token allotments, giving you the leverage to ship more and learn faster. At Samsara, New Grads can work on a wide range of high-impact engineering challenges across our connected operations platform. Depending on the team, a New Grad may help build the backend infrastructure that powers our IoT platform, scaling data ingestion and storage systems that support over 15,000 hardware assets and tens of thousands of customers around the world. They may also work across the full stack, creating intuitive user experiences that turn data from millions of devices into actionable insights, while partnering closely with product and design to rapidly iterate on features that deliver real customer value. On the mobile side, a New Grad could help strengthen the infrastructure behind our React Native app, enabling feature teams to move quickly and build performant, maintainable products. For those focused on embedded software, projects may include building and maintaining software that runs directly on Samsara hardware, spanning areas like edge AI, multimedia frameworks, power management, and real-time data processing in demanding real-world environments. Throughout the interview process, we will dig into your past experience, what you are most interested in learning next, and where you would be the best fit across our engineering teams. Our engineering teams use Golang for backend development, TypeScript and React for the web client, GraphQL for data access, and React Native for mobile development. Direct experience with this exact stack is not required, but experience with similar technologies is strongly encouraged. You should apply if: You want to impact the industries that run our world. The software you build will help keep the lights on, get food into grocery stores, and - most importantly - ensure workers return home safely. You believe customers are more than a number. Our engineers are deeply invested in our customers and the daily problems they face. They visit customers in person to understand not just how Samsara helps them today, but where our products need to go next. You'll participate in customer interviews, collaborate with success and product teams, and use metrics to ensure your work translates into real outcomes. You're curious and self-driven. You challenge yourself outside of class - hackathons, side projects, tearing apart how something works just because you want to understand it. You move fast, embrace new technology, and treat learning as constant. You're drawn to hard problems and own them end to end. You dig into complexity, research it thoroughly, and find the simplest solution that works - then see it through, holding yourself to a high standard along the way. You're AI-forward. You've woven AI into how you work, whether that's accelerating debugging, drafting code, or exploring unfamiliar problem spaces faster. You're quick to experiment and always looking for smarter ways to build. You're a collaborator. You work well independently and across cross-functional teams, and you're motivated by winning together, not just individually. Minimum requirements for the role: Current Senior pursuing a Bachelor's degree in Computer Science, Mathematics, or a related technical field, with an expected graduation date in 2027. This is a full-time, remote OR in-person hybrid role requiring 3 days per week in our London, UK office and 2 days working remotely. Applications will close October 30th at 6:00pm (UK) Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in ----- ----- or ----- For more information regarding fraudulent employment offers, please visit our blog post here . Find Jobs in United Kingdom on Arbeitnow

At Ananda Impact Ventures, we're not just investors; we're pioneers and innovators in the impact investment landscape across Europe. We channel capital into startups tackling critical social and environmental challenges, focusing on areas like climate change, biodiversity, health and education. With Europe's longest track record in Tech Impact VC, we are now investing from our freshly closed €100M Fund V. Learn more about our mission and team at Ananda . We see considerable potential for artificial intelligence and automation to improve how venture capital firms operate, from identifying and evaluating investment opportunities to supporting portfolio companies and managing internal processes. Our objective is to systematically integrate these technologies into our organisation, developing connected systems and applications that enhance the quality, efficiency and scalability of our work. The Role: We are looking for an AI & Automation Manager to develop and implement AI-driven solutions and automation across Ananda. In this role, you will work closely with the whole team to identify opportunities for technological improvement, translate operational requirements into technical solutions and take responsibility for their implementation. The position combines software development, AI engineering, systems integration and process optimisation. It requires a practical approach to technology, an understanding of business requirements and the ability to independently manage technical projects from concept to deployment. You will have the opportunity to shape Ananda's internal technology infrastructure, establish scalable solutions and assume increasing responsibility as our AI and automation capabilities develop. Responsibilities: Investment processes: Develop and implement AI-enabled solutions that improve the identification, evaluation and execution of investment opportunities. Portfolio management: Build systems and applications that support the collection, analysis and use of portfolio information. Process automation: Identify and implement opportunities to streamline workflows across investment activities, fund operations and internal administration. Data and systems integration: Develop and maintain the technical infrastructure connecting internal applications, external platforms and relevant data sources. AI applications: Design, develop and maintain AI-powered tools, agents and automated workflows to support the organisation's activities. Technology development and adoption: Evaluate emerging technologies, identify relevant applications and support their effective integration into existing processes. Technical Skills: Strong software engineering fundamentals, including practical experience with Python, APIs, databases and modern development tools. Hands-on experience developing AI-powered applications using large language models, AI agents and related technologies. Experience implementing workflow automation and integrating different software systems and data sources. Understanding of software architecture, data processing, deployment and the development of reliable, maintainable applications. Familiarity with information security, access management and the responsible handling of confidential data. Experience with modern AI-assisted development tools and an interest in continuously expanding your technical expertise. Professional and Personal Qualifications: Practical experience: Demonstrated ability to independently develop and implement software applications or automation solutions. Ownership: Ability to manage technical projects from requirements gathering through development, deployment and ongoing improvement. Analytical and problem-solving skills: Strong ability to understand business processes, identify opportunities for improvement and develop appropriate technical solutions. Pragmatic approach: Ability to evaluate technical alternatives and balance functionality, complexity, reliability and development effort. Entrepreneurial mindset: Interest in emerging technologies, startups, venture capital and impact investing. Communication and collaboration: Ability to communicate technical concepts clearly and work effectively with colleagues from different professional backgrounds. Previous experience in venture capital, private equity or the startup ecosystem is an advantage but not a requirement. We place particular value on relevant practical experience, technical competence and the ability to work independently. What We Offer: Technical ownership: Responsibility for developing and implementing AI and automation capabilities across the organisation. Meaningful contribution: The opportunity to improve the systems and processes supporting our investment activities and portfolio management. Collaborative environment: Direct collaboration with an experienced investment team and exposure to a broad range of technologies and business models. Professional development: Opportunities to expand your responsibilities and contribute to the organisation's long-term technology strategy. Flexible engagement: An initial part-time or freelance arrangement, with the potential to transition into a full-time position as the role develops. Application: We welcome applications from individuals with a strong technical background who are interested in applying AI and automation in a venture capital environment. Please share your CV, together with examples of relevant software, automation or AI projects you have developed. We are particularly interested in understanding the problems you addressed, your technical approach and your individual contribution. We look forward to learning more about your experience and your interest in joining Ananda Impact Ventures. Find Jobs in Germany on Arbeitnow