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Location: Germany; Tokyo; Spain; Korea; United States; Japan; Brazil; Denmark; Portugal; Mexico; Sweden; Poland; United Kingdom; Netherlands; France; India; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. ABOUT THE ROLE We are looking for freelance Transcription and Subtitling Specialists to join our fast-growing Productions team. Productions is a new marketplace that brings together our AI audio tools and a network of human experts to unlock high-quality, human-edited transcripts, subtitles, dubs, audiobooks, and more at scale for our users and customers. While Productions is just getting started, we already manage content workflows for some of the world's top YouTube channels, book publishers, and media & entertainment businesses. Here's what you can expect in our team: - Producing and reviewing highly accurate transcripts for a range of exciting content - Creating high-quality subtitles for video content following specific formatting rules and timing standards - Competitive task-based compensation - Flexible workload and scheduling - claim and complete jobs directly on our platform REQUIREMENTS - Native or near-native fluency in one or more supported languages - Prior experience in transcription or subtitling and familiarity with relevant tools - Strong attention to detail and commitment to linguistic accuracy - Ability to work independently and deliver high-quality work on time Bonus: - Experience using the ElevenLabs platform and/or other AI-assisted transcription and subtitling tools, subtitle editors, or captioning software - Previous work with language service providers, localization teams, or media companies - Background in linguistics, language technology, or media production LOCATION This role is remote and can be executed globally. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United Kingdom; Spain; Germany; Brazil; Portugal; Mexico; France; India Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. ABOUT THE ROLE We are looking for freelance Translators and Linguists to join our fast-growing Productions team. Productions is a new marketplace that brings together our AI audio tools and a network of human experts to unlock high-quality, human-edited transcripts, subtitles, dubs, audiobooks, and more at scale for our users and customers. While Productions is just getting started, we already manage content workflows for some of the world’s top YouTube channels, book publishers, and media & entertainment businesses. As a Translator / Linguist, you will play a critical role in ensuring that content translated with the support of AI meets the highest standards of linguistic accuracy, cultural nuance, and natural flow. Here’s what you can expect on our team: - Editing and refining AI-assisted translations for fluency, tone, and cultural appropriateness - Localizing scripts for dubbing, voiceover, and multimedia content - Ensuring terminology consistency across projects and maintaining glossaries where needed - Collaborating with dubbing and audio teams to ensure translations perform well in spoken form - Competitive task-based compensation - Flexible workload and scheduling - claim and complete jobs directly on our platform REQUIREMENTS - Native or near-native fluency in one or more supported languages - Proven experience in professional translation and/or localization - Strong understanding of cultural nuance and audience adaptation - Exceptional attention to detail and commitment to linguistic accuracy - Ability to work independently and deliver high-quality work on time Bonus - Experience translating audiovisual content (film, YouTube, e-learning, podcasts, audiobooks) - Experience working with language service providers, localization teams, or media companies - Familiarity with subtitle editors, CAT tools, or AI-assisted translation workflows - Experience using the ElevenLabs platform and/or other AI-powered localization tools - Background in linguistics, translation studies, or language technology LOCATION This role is remote and can be executed globally. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United Kingdom; Spain; Germany; Brazil; Portugal; Mexico; France; India Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. ABOUT THE ROLE We are looking for freelance Dubbing Specialists to join our fast-growing Productions team. Productions is a new marketplace that brings together our AI audio tools and a network of human experts to unlock high-quality, human-edited transcripts, subtitles, dubs, audiobooks, and more at scale for our users and customers. While Productions is just getting started, we already manage content workflows for some of the world's top YouTube channels, book publishers, and media & entertainment businesses. Here's what you can expect in our team: - Optimizing translations for dubbed content - Producing natural sounding dubbed audio using a combination of tools - Voice casting to ensure content sounds natural in your language - Collaborating with our audio engineering and mixing teams on edits - Competitive task-based compensation - Flexible workload and scheduling - claim and complete jobs directly on our platform REQUIREMENTS: - Native or near-native fluency in one or more supported languages - Prior experience in dubbing and translating audiovisual content - Strong attention to detail and commitment to linguistic accuracy - Ability to work independently and deliver high-quality work on time Bonus: - Previous work with language service providers, localization teams, or media companies - Experience using the ElevenLabs DubbingStudio and/or other AI-assisted dubbing tools LOCATION This role is remote and can be executed globally. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United Kingdom; Spain; Germany; Brazil; Portugal; Mexico; France; India Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. ABOUT THE ROLE We are looking for freelance Audiobook Specialists to join our fast-growing Productions team. Productions is a new marketplace that brings together our AI audio tools and a network of human experts to unlock high-quality, human-edited transcripts, subtitles, dubs, audiobooks and more at scale for our users and customers. While Productions is just getting started, we already manage content workflows for some of the world’s top YouTube channels, book publishers, and media & entertainment businesses. Here’s what you can expect on our team: - Editing and polishing AI-generated audiobook narrations for natural flow and consistency - Ensuring character voices, tone, and pacing align with the author’s intent - Voice casting and direction to match the style of the book - Collaborating with our audio engineering and mixing teams on mastering and post-production - Competitive task-based compensation - Flexible workload and scheduling REQUIREMENTS: - Native or near-native fluency in English (and/or other supported languages) - Prior experience in audiobook narration, production, or editing - Strong attention to detail and commitment to audio and linguistic accuracy - Ability to work independently and deliver high-quality work on time Bonus: - Previous work with publishers, audiobook production companies, or audio post-production teams - Experience using the ElevenLabs platform and/or other AI-assisted narration tools - Proficiency in audiobook post-processing and editing (meeting industry specs, mastering, and using a DAW such as Pro Tools, Audition, or Reaper) This role is remote and can be executed globally. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.   The team To sustain the company's growth, Ledger is looking for a Senior Scala Backend Engineer to join the Cloud Wallet team. This team builds and operates the backend services that power blockchain account management, transaction processing and on-chain data aggregation across all Ledger wallet surfaces, from Ledger Live to Ledger Enterprise, the custody platform used by financial institutions. Every client transaction goes through these services, and so does every new blockchain Ledger supports. We believe in the power of functional programming to build robust and scalable platforms. We take time to share, challenge, and grow together through bi-weekly knowledge-sharing sessions, meetups, conferences, and open source contributions.   What you’ll be doing - Design, build and operate the Scala services that connect Ledger wallets and the Ledger Enterprise platform to blockchain backends: account creation, operation history, transaction crafting, broadcast and lifecycle tracking. - Lead new blockchain integrations end to end, from the integration design (ADR) to production, across account-based, UTXO and privacy-preserving chains. - Own production quality on your scope: SLIs and SLOs, observability, distributed tracing. Take part in the firefighting rotation and drive incidents to resolution, including those raised by institutional clients. - Define clear contracts with the Coin Integration and Ledger Enterprise teams, for example where UTXO selection lives or how transaction states are exposed to consumers. - Write and review ADRs, challenge designs, and raise the bar on code quality, testing (including end-to-end on testnets) and technical debt management. - Work in an AI-native way: use coding agents daily, write the specifications, constraints and verification that let them deliver safely, and contribute to the team's AI tooling. - Mentor other engineers and share your knowledge across the Backend Blockchain community.   You will collaborate cross-functionally with: - The Coin Integration team for coin modules and new blockchain integrations. - The Ledger Enterprise team, main consumer of the team's services for institutional custody. - The Ledger Wallet, Ledger Button and Wallet XP teams as consumers of the team's backend APIs. - The Blockchain platform team for data model alignment, indexing and event streaming. - The Infrastructure and SRE teams for deployment, reliability and scalability. - The Security team (Donjon) for vulnerability analysis and remediation. - The Product team for roadmap prioritization and customer-driven requirements.   What we’re looking for - 5+ years of backend engineering, with real production ownership of distributed systems. - Strong production experience - Interest for Scala and functional programming practice - Hands-on blockchain integration experience: transaction lifecycle, fees, finality, reorgs, on at least two models among account-based, UTXO and privacy-preserving chains. - Experience with event-driven systems and data infrastructure (PostgreSQL, RabbitMQ, NATS or equivalent) and with observability tooling (Datadog or equivalent). - Able to diagnose an incident across several services and own the outcome, from root cause to fix in production. - Comfortable reading and contributing to TypeScript code, as the team works on a polyglot stack. - Daily use of AI coding tools, with a critical eye on their output. - Clear written communication in English, especially for design documents and incident reports. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Money is DoorDash’s organisation responsible for the financial products and infrastructure that enable transactions across DoorDash, Wolt and Deliveroo. The domain owns how consumers pay, how merchants and couriers are paid, and how money is recorded, reconciled and reported, covering payment processing, payment methods, payouts, invoicing, financial ledgers and regulatory compliance. We are looking for a Senior Technical Program Manager to help scale Money Domain. You will lead important engineering wide initiatives across Invoicing Platform, Payment Instruments, amongst others; working with Engineering, Product, Operations, and business leaders to deliver dependable, scalable Money capabilities for the business. Programs will span backend services, partner and merchant integrations, and regulatory / compliance products. They require strong technical judgment, cross organisational coordination, stakeholder management, and ownership of results. You will report into the centralised global Technical Program Management team in Engineering, through a manager based in London. This is a hybrid role based in our London office in Cannon Street. You're excited about this opportunity because you will… Drive Money Domain’s Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Money Domain’s strategy into executable technical programs. Lead Complex Cross-Organization Execution — Money Domain interacts with capabilities across consumer, merchant, courier, order and enterprise domains, payment processing, payouts, fraud and risk, regulatory compliance, accounting, financial data and platform infrastructure. You will establish clear ownership and milestones, surface critical dependencies and tradeoffs, and drive alignment across teams when the path forward is not obvious. Bring Technical Depth and Systems Thinking - You will develop a deep understanding of the architecture, integrations, data flows, and operational systems behind Money Domain (Financial Systems). You will engage in technical designs, identify scaling and reliability risks, understand how decisions in one part of the system affect end-to-end consumer, rider/ courier, and merchant experiences, and help teams make pragmatic tradeoffs. Turn Ambiguity into Strategy and Action - Many of our hardest problems do not begin with a clean scope or a single owner. You will truth-seek across technical and business inputs, frame the problem, clarify the definition of success, develop a point of view on risks and options, and create an execution path that teams and leaders can align behind. Connect Engineering Execution to Business Outcomes - You will understand the merchant, partner, customer, and economic outcomes behind the work and use that context to guide prioritization and execution. We're excited about you because… You’re experienced in working with engineering teams on  large-scale distributed systems and/or b2b products. You can speak to system architecture, scalability and reliability decisions, and design trade offs. You’re a strong leader with the ability to collaborate and build relationships across organizations, bridge gaps between teams, and successfully influence without authority. You have strong ownership, urgency, and drive. You are willing to roll up your sleeves and dive into the details to understand and drive your programs. You have excellent written & verbal communication skills with the ability to communicate with confidence, clarity, and focus. You can convey concepts and considerations to non-experts and experts alike. You’ve engaged with Engineering teams on product & platform development with a thorough understanding of software development processes and project planning. You are pragmatic and detailed in your approach and focus on progress, not perfection. Qualifications Bachelor’s Degree with experience in Computer Science, Software Engineering or other related discipline. 5+ years recent experience as a Technical Programme Manager at a technology/ FinTech company, in Financial Systems. Experience with regulatory compliance in Financial Systems, e.g. SOX, PSD2, or equivalent would be an advantage. Experience in large-scale distributed systems and system architecture. Experience working directly with engineering teams on product development, with a thorough understanding of software development processes, system architecture, and scalability trade-offs. Project planning and execution skills that include reviewing technical design documents, estimating, and scheduling. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE ROLE We’re looking for an Analytics Engineering Lead to set the direction for analytics engineering at Eneba and help the team deliver trusted, business-ready data. You’ll lead a team of around 10 analytics engineers. You’ll define what analytics engineering owns and where it is going, connect the team’s work to real business needs, and ensure curated data can be used directly by business teams, BI tools, and AI agents without an analyst in between. WHAT YOU’LL DO - Create and own the analytics engineering strategy, direction, and goals. - Lead, coach, and develop a team of around 10 analytics engineers through regular feedback, one-to-ones, performance management, review cycles, and hiring, helping them become increasingly autonomous. - Establish the analytics data-modeling architecture, engineering principles, quality standards, and ways of working that guide how the team builds and maintains models. - Ensure analytics engineering work begins with a clear understanding of the business problem and delivers data that people can use with confidence. - Enable reliable self-service analytics by making curated data usable by business teams, BI tools, and AI agents, with appropriate semantic layers, metrics, discoverability, and governance. - Evaluate the current analytics landscape and make pragmatic, evidence-based decisions about what should be improved, stopped, rebuilt, or delegated. - Partner directly with stakeholders across the company, including teams such as Accounting, Payments, and Marketing, as well as senior leaders. - Build a strong understanding of Eneba’s business and translate varied stakeholder needs into a clear direction for the team. - Identify and empower technical experts within the existing team to help define and implement engineering standards. - Evaluate analytics tooling and delegate technical discovery where appropriate, while retaining final ownership of analytics engineering architecture and tooling decisions. REQUIREMENTS - Proven experience leading and developing data, analytics, or analytics engineering and people-management in product-focused tech companies. - Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function. - A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models. - Strong business judgment: you focus on why data is needed and what problem it solves, not only how models are built. - Strong stakeholder management and communication skills, with proven experience partnering closely with product leadership and representing data in executive-level and cross-functional discussions. - Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure including recommending that work be stopped or rebuilt when needed. - Experience operating in a high-growth, fast-moving organization with low approval layers, where data supports many business functions. Scale-up experience is helpful. - Working knowledge of SQL and data modeling, hands-on experience with DBT, and familiarity with at least one BI or dashboarding tool. - Fluent English (business proficiency required) What it’s like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. - We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred. Please submit your resume in English - To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice   #LI-LK1

Location: Remote, Worldwide; Remote - Europe Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced Spanish (Spain) to English (GB or US) linguists to support a high-volume, fast-turnaround pharmacovigilance program for a leading global pharmaceutical company. Work involves translating and reviewing safety and regulatory content, including adverse event reports and related clinical documentation, with strict turnaround times and deadlines.  This is an ongoing freelance engagement with daily volumes. Key Responsibilities Translate Pharmacovigilance and/or Clinical-regulatory content from Spanish into English. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit review of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive safety content. Requirements Degree in translation, linguistics or languages studies or an equivalent degree that includes significant  translation training. Minimum 2 years of professional experience translating medical documentation, specificially with experience and knowledge in Pharmacovigilance and/or Clinical-Regulatory content. Experience translating pharmacovigilance content preferred: SAE/AE (serious and non-serious adverse events), PSURs, SUSARs, ICSRs, DSURs, Risk Management Plans (RMP). Alternatively, experience translating regulatory or clinical documents: medical reports, protocols, synopses, ICF, discharge reports, study reports, SmPC, PIL, or medical literature. Great daily availability: this program requires consistent daily capacity and is not suited to part-time schedules. Strong Spanish proficiency; native level of English preferred but not mandatory. Experience with XTM or similar CAT tools. Reliable, deadline-driven, and flexible, able to commit to fast turnaround times with no extensions. Nice to Have Healthcare professional (HCP) background: nurse or physician preferred, especially with emergency room experience. Other HCP backgrounds also welcome. Willingness to commit to daily and/or weekend availability. Tools & Systems CAT tool: XTM, client-provided license; onboarding and connector setup provided after onboarding. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions. Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes. - Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation. - Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making. - Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve. - Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions. Your skillset: - Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability. - Proficiency in Python and SQL, with experience working with large, complex datasets. - A solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking. - Experience collaborating with engineers to deploy, monitor and improve models in production. - Strong communication skills, with the ability to explain technical concepts and influence product and commercial decisions. The interview journey: - Intro with a member of our Talent Acquisition team - 30 minutes - 1st Stage: Virtual Interview with Hiring Manager - 45 minutes - 2nd Stage: Two on-site interviews - 50 minutes for a project discussion deepdive with member(s) of the Data Science team - 1 hour technical discussion around a case study with member(s) of the Data Science team - Final-stage: Virtual interview with key stakeholders - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Berlin; Munich Workplace: Hybrid Job title: Program Manager Department: Missions Line of Business Location: Munich or Berlin, Germany Reports to: Program Director (Germany) Employment type: Permanent Working type: Hybrid WHY THIS ROLE MATTERS Deliver complex Satellite Mission programs end-to-end, ensuring customer success, on-time execution, and scalable delivery excellence. You will ensure the full lifecycle of customer missions—from contract execution through delivery—acting as the central orchestrator across engineering, product, operations, and commercial teams. Your role is to ensure programs deliver against commitments while building strong, trusted customer relationships. This role directly contributes to ICEYE’s ambition to become the leading provider of space-based ISR infrastructure by scaling reliable, high-impact mission delivery globally. The role will be based in Munich or Berlin. Regular travel to Espoo (Finland), and customer sites is required. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. EXPECTED OUTCOMES - Deliver assigned Satellite Mission programs on time, within budget, and to agreed performance standards - Build and maintain trusted, long-term customer relationships, acting as the primary interface throughout program execution - Establish and drive clear program plans (scope, milestones, resources, financials) aligned with internal and customer objectives - Identify, manage, and resolve risks, dependencies, and escalations to ensure uninterrupted program delivery - Orchestrate cross-functional execution across engineering, product, operations, and commercial teams - Implement scalable program management practices that improve delivery reliability and efficiency across Missions - Establish effective reporting structure and communication channels and mechanisms to ensure timely and accurate information flow among program team members, stakeholders, and senior leadership What we’re looking for Must haves: - Proven experience (5–10 years) managing complex, multi-stakeholder programs involving advanced technology systems (e.g., space, defence, telecom, automotive, IT, or similar) - Strong customer-facing experience, with the ability to manage senior stakeholders and navigate complex requirements - Demonstrated ability to lead cross-functional teams - Expertise in program planning, execution, and governance (scope, schedule, budget, risk management) - Strong analytical and problem-solving skills, with the ability to make decisions under uncertainty - Excellent communication and stakeholder management skills across technical and non-technical audiences - Fluent German (native level) and ability to obtain security clearance - Bachelor’s degree in business, engineering, or a related field NICE TO HAVES: - Knowledge in Earth Observation (EO), SAR, or remote sensing programs - Experience working on satellite or similarly complex system programs - Experience with governmental or defense customers - Knowledge of hardware, software, or embedded systems development - Experience in product development environments - Master’s degree in business, engineering, or a relevant field - PMP, PgMP, or equivalent certification Application Process - Initial screening call with Talent Attraction - Hiring Manager interview with Program Director (Germany) - Case Study - Interview with CEO Germany - Final interview with SVP Missions - References WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at http://iceye.com/iceye.com http://iceye.com.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We are looking for a Senior SEO Specialist to own product-related SEO tasks from idea through release. You will turn search opportunities into initiatives and tasks for product and engineering, and confirm that what is delivered works as intended. Job Responsibilities Identify technical and on-page SEO issues (crawling, indexing, site structure, redirects, canonicals, internal linking, templates, structured data) and initiate product-related tasks when they block organic performance; Prepare implementation-ready tasks and recommendations: problem, solution, affected templates or URLs, risks, and acceptance criteria; Validate proposed work with the Team Lead and SEO team before it reaches product or engineering; Consult product and development on SEO implications of planned features, template changes, and site architecture; Participate in estimations and groomings so work is sized, sequenced, and specified well enough to build; Analyze search intent, SERP structure, and competitor behavior when it affects product or template decisions; Optimize existing page types and templates for rankings, traffic, engagement, and conversions, including titles, meta descriptions, headings, internal links, page structure, and content; Support content planning with SEO briefs, keyword maps, and optimization guidelines when work touches product surfaces; Plan information architecture and landing-page structure for new product or content surfaces; Specify and, where appropriate, implement structured data; Test implementations after release against agreed acceptance criteria; Monitor performance in Google Search Console, Google Analytics, and in-house reporting tools. Track rankings, traffic, indexing, and trends tied to shipped work, not only site-wide averages; Prepare concise updates: what moved, what did not, and recommended next product or content steps; Stay current with SEO practices and search-engine updates that affect product implementation. You’ll thrive here if you have 4+ years of hands-on SEO across on-page, content, and technical work; Experience working with high-traffic international and multilingual websites; Proven experience turning SEO findings into tickets or requirements that engineering or product teams can implement; Comfort participating in agile delivery: grooming, estimation, clarification, and post-release checks; Strong understanding of keyword research, search intent, SERP analysis, and competitor research; Working knowledge of technical SEO: crawling, indexing, redirects, canonicals, internal linking, site architecture, and template-level changes; Experience with Google Search Console, Google Analytics, crawlers, and other SEO tools; Ability to analyze SEO data and turn it into a clear recommendation, with an expected effect and a way to verify the release; Clear written communication: tickets, briefs, and short performance notes that non-SEO teams can act on; Ability to work independently, manage several workstreams, and raise issues early rather than waiting for a fully specified brief. Nice to have: Experience with programmatic SEO or large-scale template optimization; Familiarity with Looker Studio, BigQuery, SQL, or another reporting stack; Basic scripting (Python or similar) for crawls, log samples, or bulk URL analysis; Familiarity with common CMS or front-end delivery setups; Awareness of generative search / AI results as a measurement context; Experience in SaaS, marketplace, media, or other product-led digital businesses. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches at the office, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (45 min); Technical interview (1 hour); Test task; Final interview (1 hour). Recommendations check; Job Offer.

About Semaphore: Semaphore is a remote-first software company building continuous integration and delivery (CI/CD) products for engineering teams. Their customers rely on Semaphore Cloud and self-hosted enterprise products to build, test, and deliver software securely and reliably. The company has extensive experience building developer infrastructure at scale and is now creating new products and capabilities for a world increasingly built by people working with AI coding agents. About the role: The Senior Product Engineer will take important ideas from early, ambiguous problems to useful products running in production. The role involves working across product and engineering boundaries: understanding users, shaping solutions, making technical decisions, building systems, and improving them based on real use. Responsibilities include extending mature Semaphore products and starting small experiments or new products. The focus is on achieving strong outcomes rather than completing predefined tickets. AI coding agents are integrated into daily workflows and expected to be used fluently to explore, build, test, and ship faster. The role requires accountability for choosing the right problems, setting direction, making trade-offs, reviewing outputs, and ensuring coherence, reliability, and maintainability. Strong ownership, initiative, taste, and judgment are essential, with comfort moving between product questions, system design, code, infrastructure, and user experience. What you will own: — Take product ideas from problem definition through design, implementation, rollout, and iteration, including experiments that may grow into standalone products. — Work directly with users and internal stakeholders to identify real problems, decide what is worth building, and make pragmatic scope and architecture decisions. — Build across backend services, APIs, infrastructure-facing components, and focused frontend experiences, reusing proven Semaphore systems before introducing new infrastructure. — Use AI coding agents effectively while maintaining high standards for correctness, security, clarity, and product quality. — Own the production outcome, including reliability, observability, supportability, and compliance with Semaphore's security requirements. — Communicate decisions, progress, and risks clearly. What we are looking for: — Proven track record of independently shipping meaningful software products or major product capabilities. — Strong product judgment to identify essential user problems, reduce unnecessary scope, and recognize when an experience is ready to ship. — Strong engineering judgment in system design, implementation, reliability, and maintainability. — Strong backend and systems fundamentals including APIs, asynchronous processing, service boundaries, state and lifecycle management, retries, idempotency, and failure recovery. — Comfort with infrastructure concepts such as virtual machines, storage, networking, authentication, secrets, containers, and cloud platforms. — Ability to navigate a polyglot environment; Semaphore systems include Go, Elixir, Ruby, React, and related technologies, though expertise in every language is not required. — Enough frontend capability to build or extend focused product user experiences without relying on a separate team. — Fluency with modern AI-assisted development including decomposing work for agents, supplying useful context, reviewing generated changes, and building verification into workflows. — Initiative and persistence, ability to make progress with incomplete information, surface risks early, and involve others when needed. — Strong written and spoken English and experience working independently in a remote, asynchronous team. — Emphasis on quality and ownership over years of experience or exact stack match. Nice to have: — Experience building developer tools, CI/CD systems, cloud platforms, or infrastructure products. — Hands-on experience with distributed systems and event-driven architectures. — Experience evolving a mature codebase while introducing new products or architectures. — Experience in lean environments where senior engineers participate directly in product discovery and customer conversations. What success looks like within first three months: — Ownership of a meaningful product problem and shipping a useful capability to production. — Demonstrated good product taste, clear technical decisions, and disciplined scope. — Learning enough of Semaphore's platform to reuse strengths and avoid unnecessary reinvention. — Using AI coding agents to increase output while maintaining understandable, tested, and reliable systems. — Faster product and engineering decisions due to clear options, sound calls, and follow-through. — Gaining team trust to drive ambiguous new products or features to strong results. How you will work: — Senior individual contributor role with broad ownership. — Close collaboration with engineering, product, infrastructure, and company leadership. — Small teams with direct communication and expectation of exercising judgment. — Opportunity to shape both product and implementation. — Responsibility for the whole outcome: what gets built, why it matters, how well it works, and post-shipment results.

Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. As a Senior Backend Engineer on Tenant Controls , you'll design, implement, and evolve backend capabilities for a global platform that millions use. You'll solve problems of high scope and complexity, influence technical and product direction, and improve system quality, reliability, and performance beyond assigned feature work. Working across product, frontend, infrastructure, data, and security, you'll make pragmatic architectural trade-offs and partner with product managers and designers to deliver value to users in a remote-first, asynchronous environment. What you’ll do Design and ship moderate to complex backend features with minimal guidance, choosing between modular-monolith code, shared components, and independently operated services. Influence team objectives, technical direction, and long-range goals, partnering with product managers and designers to shape requirements around user needs. Define backend standards for style, maintainability, testing, application programming interfaces (APIs), and operational readiness, advocating for quality, security, availability, and performance. Mentor associate and intermediate engineers, remove technical blockers, and improve delivery practices through code and design reviews. Diagnose and prevent performance and reliability issues at scale, participate in incident response, and act as a technical owner where appropriate. Experiment with and integrate agentic AI into production engineering workflows, evaluate its effectiveness, and coach others on responsible use and sound judgment. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Proficiency in modern backend languages and a deep understanding of systems programming, with the ability to learn and adapt rather than mastery of a single language. Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Ability to lead through influence, technical judgment, and clear asynchronous written communication, connecting product needs with technical decisions and directing your own work. Experience building or operating agentic AI systems in production, including loops, tool use, and error-handling strategies that support reliability at scale, beyond prompt engineering alone. Helpful, but not required: experience with high-throughput distributed systems, concurrency or profiling; containerized production operations (such as Kubernetes); database performance (PostgreSQL, ClickHouse, schema evolution or partitioning); large-scale modular monoliths or event-driven systems; public technical communication, open source maintenance or developer-focused software as a service (SaaS). About the team You'll join Tenant Controls within Production Engineering, where we own application-level rate limiting on GitLab.com. We build the framework that defines, counts, and observes every application rate limit and migrate existing implementations onto it. Our mission is to give GitLab.com a single way to define, configure, and observe these limits, so operators can understand them during an incident and change them without a deploy. The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. Poland base salary range: 272,000zł - 408.000zł How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Key Responsibilities: — Act as a peer and advisor to customer CTOs and CIOs, helping them navigate complex digital transformations and operationalizing the PagerDuty Operations Cloud within their organizations. — Represent PagerDuty as a thought leader at major industry events and through digital content, white-papers, and local media. — Partner closely with Global Product and Engineering leadership in San Francisco to ensure the unique requirements of the US markets are represented in the long-term roadmap. — Provide architectural oversight and executive presence for the most complex, high-stakes enterprise opportunities across the US. — Foster a local community of DevOps and SRE leaders, sharing best practices on operational excellence, incident response, and the ethical application of AI in operations. — Stay ahead of the curve on the competitive landscape, identifying market shifts and technical trends that PagerDuty can capitalize on. Requirements: — 15+ years of experience in technical leadership, solutions architecture, or product management within the SaaS, DevOps, or Cloud infrastructure space. — Proven track record of engaging with and influencing C-level executives at Fortune 500 or equivalent global enterprises, navigating complex organizations. — Proven ability to support and influence sales cycles with a solid grasp of sales processes and customer buying journeys. — Deep domain expertise in at least three of the following: Incident Management, SRE (Site Reliability Engineering), AIOps, Cloud Native Architectures, ITSM/ITIL, or Cybersecurity Incident Response. — Exceptional public speaking and written communication skills. — Ability to travel across the US and occasionally overseas. Preferred Qualifications: — Active involvement in the tech community (mentorship, open-source contribution, or advisory/board positions). — Experience navigating the regulatory landscape for US financial services or government sectors (e.g., FedRAMP) as it relates to cloud resiliency. Conditions: — Remote work based in the USA with location restrictions on certain states and provinces. — Full-time employment. Additional Information: — PagerDuty is an equal opportunity employer. — Provides reasonable accommodations for qualified individuals with disabilities. — Uses the E-Verify employment verification program.

About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, responsible for foundational infrastructure including AWS accounts, networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture. Responsibilities: — Lead and develop a senior Cloud Engineering team with coaching, feedback, performance management, and career development. — Own operational health of cloud infrastructure including incident response, on-call health, service-level objectives, resilience, and disaster recovery. — Launch and deliver a multi-quarter infrastructure insourcing program from planning through completion. — Guide technical priorities and tradeoffs across AWS infrastructure, networking, Kubernetes, infrastructure as code, GitOps, datastore operations, and compliance-related infrastructure. — Build leverage through software, automation, and paved paths to help product engineering teams use infrastructure safely and independently. — Support migrations with guidance and enablement while maintaining clear ownership boundaries. — Establish team norms for AI-assisted engineering and identify opportunities to reduce operational toil through AI and automation. — Maintain team health and continuity through change, fostering an inclusive, collaborative, and accountable environment. — Partner with various platform and product engineering teams on shared infrastructure priorities and dependencies. — Communicate roadmaps, operational risks, investment needs, and progress to leadership and stakeholders. — Participate in hiring and team planning as the organization grows. Qualifications: — 2+ years managing infrastructure, platform engineering, or site reliability engineering teams at a product company, including people management of on-call teams. — Demonstrated ownership of incident response, on-call health, and service-level objective frameworks. — Experience leading multi-quarter infrastructure migration or insourcing programs. — Technical fluency with AWS, Kubernetes, and infrastructure-as-code practices. — Experience managing leadership transitions and maintaining team engagement and retention. — Clear perspective on team norms and practices for AI-assisted engineering. — Strong communication skills. — Calm and accountable leadership, especially during incidents and change. Nice to Haves: — Experience with vendor negotiations or cloud cost management. — Experience supporting FedRAMP or compliance-related infrastructure. — Experience operating large-scale datastores or OLAP systems. — Experience growing a team through funded expansion. Pay: — Target pay ranges based on US geographic zones from $163,000 to $263,670 annually, inclusive of a 10% bonus target. About LaunchDarkly: LaunchDarkly provides a platform to improve software delivery velocity and stability, enabling developers to innovate faster with feature flagging and gradual rollouts, improving engineering productivity and customer experience. Equal Opportunity: LaunchDarkly is an equal opportunity employer valuing diversity and inclusion. Application: Apply via the provided link.

About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: — Creating new and improving existing AI solutions — Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback — Communicating with fellow data scientists, product owners, and developers — Applying best software engineering practices to build a reliable codebase — Performing code reviews — Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: — 4+ years of experience in AI,  Data Science, and Machine learning — Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics — Experience in building complex multipart and multistep LLM-based and ML systems — Proficiency in Python (including pure Python, and not only jupyter notebooks) — Experience in using reproducible research techniques — Experience in developing AI solutions for production usage — Full professional proficiency in English Standout Qualities: — Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation — Confident statistical and machine learning skills — Experience in creating core AI systems that are foundational to the product and are used in many parts of it — Experience in classical software development and architecture Interpersonal skills: — Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. — You are proactively pushing yourself to develop your skills and knowledge — Decision making and argumentation skills — Open to feedback and ready to react on it — Ability to work autonomously on a project level Our Work Style: — Code: Python, Jupyter, mypy, uv, black, flake8 — Data: pandas, SQL, BigQuery — GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust — LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) — ML: scikit-learn, lightgbm, pytorch — Cloud: GCP, Dagster, MLFlow — Coding Agents: Claude Code, Codex, Cursor Team Dynamics: — As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. — You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: — 5 Weeks of paid vacation — Sick Leave Compensation — 5 Paid Uncertified Sick Days — 2 weeks fully paid w/ medical certificate, additional — 4 weeks paid at 80% salary rate — Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity — 2 Volunteer Days — Meal Vouchers (CZK 220 per working day) — Annual Prague Travel Card (Lítačka) — Hybrid Working Model — Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus What’s Next? — Introduction Call with a Recruiter — Technical interview — Cultural interview

About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Their platform enables teams to release gradually, target experiences to the right audiences, learn through experimentation, understand production behavior, and respond quickly to risks. Engineers build systems, services, SDKs, developer tools, cloud infrastructure, and product experiences spanning high-scale distributed systems, reliable data and event pipelines, intuitive workflows, and AI-powered capabilities. About the role Multiple backend engineering roles are open on various teams, with level, scope, and technical focus aligned to candidate experience. Relevant experience includes cloud platforms, distributed systems, developer tools, SDK engineering, data infrastructure, observability, or AI/agent systems. Backend Engineers design, build, and operate services powering reliable software delivery, working on APIs, distributed systems, configuration and event pipelines, data services, SDK infrastructure, platform capabilities, or backend systems supporting product experiences. Collaboration with Product, Design, and partner teams is essential to deliver scalable solutions. Engineers own work from design through production and contribute to large-scale systems. What you’ll do — Design, implement, test, and operate production services and APIs. — Lead projects or significant components from problem definition through deployment and iteration. — Make tradeoffs across scalability, performance, reliability, security, maintainability, and delivery speed. — Improve observability and operability of owned systems, including metrics, logs, traces, alerting, and incident learnings. — Collaborate with Product, Design, Support, Customer Success, and engineering teams to understand needs and deliver outcomes. — Participate in technical design discussions and code reviews, sharing feedback and learning. — Investigate production issues calmly and turn operational lessons into improvements. — Contribute to a culture of inclusive collaboration, continuous improvement, and high-quality engineering. Qualifications — 5+ years of experience building and operating production software or equivalent. — Strong fundamentals in software engineering: data structures, algorithms, testing, debugging, API design. — Experience with backend languages such as Go, Python, Rust (most teams use Go). — Experience designing or contributing to reliable, observable, and maintainable services. — Ability to explain technical decisions and tradeoffs clearly to technical and non-technical partners. — Collaborative approach and ownership sense for work and customer impact. — Comfort with learning unfamiliar systems and working through ambiguous problems. Pay Target pay ranges for Level 3 based on US geographic zones: Zone 1 (San Francisco/Bay Area, NYC Metro, Boston, Seattle): $171,200 - $235,400 Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago): $154,100 - $211,860 Zone 3 (All other US locations): $145,500 - $200,090 Compensation includes Restricted Stock Units (RSUs), health, vision, dental insurance, and mental health benefits. Additional information LaunchDarkly values diversity and is an equal opportunity employer. They provide accommodations for disabilities and caution applicants about recruitment scams. Official applications are accepted only through verified channels. To apply: https://weworkremotely.com/remote-jobs/launchdarkly-backend-engineer-multiple-positions