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Location: Remote (Global) Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. Lead the engineering org building Fortary's institutional digital asset platform: custody, trading, lending, staking, and treasury management for regulated financial institutions. You'll own the architecture and technical strategy for our distributed MPC custody system, grow the team, and partner with Product, Security, and executive leadership to ship secure, resilient infrastructure at institutional scale. This is a leadership role at the intersection of distributed systems, applied cryptography, and institutional finance. You set technical direction, you're accountable for what ships, and you build the org that ships it. What you'll do - Lead multiple teams delivering Fortary's custody, transaction authorization, key management, wallet infrastructure, and blockchain integrations - Own the architecture and roadmap for the distributed MPC custody platform, including disaster recovery, governance, and transaction policy controls - Partner with Product, Security, BD, and executives to prioritize investments against customer, regulatory, and business needs - Support multiple deployment models: managed platform and licensed software - Ensure engineering practices meet the security, compliance, and governance bar required as Fortary moves toward chartered-institution status - Lead incident response for outages, security events, and key management scenarios - Hire, mentor, and grow engineering managers and senior engineers - Drive adoption of AI-assisted engineering across the org What you'll bring - 10+ years in software engineering, 5+ leading teams shipping production-scale secure distributed systems - Track record owning large-scale, security-critical platforms from architecture through production - Deep expertise in modern cryptography and secure key management: MPC, threshold signatures, TEEs, HSMs - Experience building cloud-native systems (Kubernetes, IaC, CI/CD, observability) with security and resilience as first-order concerns - Fluency in the compliance frameworks for regulated finance: SOC 2, ISO 27001, NIST, AML/KYC, and awareness of the SEC/CFTC/OCC/MiCA landscape - Experience across digital asset infrastructure: custody, trading, staking, treasury, and blockchain settlement - Ability to communicate credibly with executives, institutional customers, auditors, and regulators Bonus - Experience scaling an org toward a chartered or licensed financial entity - Background delivering both managed-service and licensed-software products (**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.) WHY AVA LABS? Ava Labs builds Avalanche, the blockchain platform institutions use to bring finance onchain. Since Avalanche launched in 2020, we have helped exchanges, banks, asset managers and fintechs move from experiments to live products, from tokenized funds and private credit to stablecoin payments and, now, the clearing and settlement ledger for the NYSE’s upcoming tokenized securities platform. Avalanche lets institutions run their own purpose-built networks with the performance, costs and participation controls they need, while staying connected to a broad ecosystem of DeFi protocols, liquidity and developers. We are a team of experts in engineering, finance, economics, product and law, headquartered in New York City. You will work alongside people who have built at leading banks, exchanges and crypto companies, with the scope to shape how capital markets move onchain over the next decade. Ava Labs is backed by investors including Andreessen Horowitz, Polychain Capital and Initialized Capital. Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: PHD is required Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $25-$30 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Ciudad de México, Mexico Workplace: on-site We are looking for a highly analytical and detail-oriented Senior Accountant to join our Finance team. This role will be responsible for ensuring the accuracy and integrity of the company's financial records, supporting month-end and year-end closing activities, managing banking reconciliations, payroll accounting, and contributing to financial reporting. The ideal candidate has strong technical accounting knowledge, excellent analytical skills, and experience working in fast-paced environments. General Accounting Maintain accurate and timely accounting records in accordance with applicable accounting standards and company policies. Prepare and review journal entries, accruals, provisions, and account reconciliations. Support monthly, quarterly, and annual financial closing processes. Ensure the integrity of the general ledger and investigate accounting discrepancies. Monitor balance sheet accounts and perform detailed reconciliations. Banking & Card Reconciliations Perform daily and monthly bank reconciliations across multiple accounts. Reconcile credit card (TDC) transactions, payment processors, and merchant settlements. Identify, investigate, and resolve discrepancies between bank statements, accounting records, and operational systems. Monitor cash movements and support treasury-related activities. Ensure the proper recording of customer payments, refunds, chargebacks, and banking fees. Payroll Accounting Support payroll accounting processes by validating payroll calculations, taxes, employee benefits, and deductions. Record payroll-related journal entries and ensure accurate accounting treatment. Reconcile payroll accounts and statutory liabilities. Coordinate with HR and external payroll providers to ensure accurate and timely payroll processing. Monitor payroll provisions, vacation accruals, bonuses, and other employee-related liabilities. Financial Reporting & Analysis Prepare monthly financial reports and supporting schedules for management. Analyze financial information and identify unusual variances or trends. Provide recommendations to improve accounting processes and financial controls. Support budgeting and forecasting activities when required. Assist in preparing reports for senior management, investors, and auditors. Internal Controls & Compliance Ensure compliance with internal accounting policies and regulatory requirements. Support internal and external audits by preparing schedules and responding to audit requests. Maintain proper documentation for accounting transactions. Participate in implementing and strengthening internal controls. Ensure accounting documentation is complete, organized, and audit-ready. Cross-functional Collaboration Partner closely with Finance, Operations, Customer Service, Product, and other business teams to ensure accurate financial reporting. Support new product launches by evaluating accounting impacts. Collaborate with external vendors, banks, auditors, and tax advisors when necessary. Provide accounting guidance to stakeholders across the organization. Process Improvement Identify opportunities to automate accounting processes and improve operational efficiency. Participate in ERP implementations, system improvements, and process optimization initiatives. Develop standardized procedures and documentation for accounting operations. Leverage accounting software such as CONTPAQ, NOI, SAP, Oracle, NetSuite, or other ERPs to streamline workflows. Communication Prepare financial reports and presentations in both Spanish and English. Communicate accounting matters effectively with local and international stakeholders. Support meetings with auditors, finance leadership, and external partners when required. Qualifications Bachelor's degree in Accounting, Finance, or related field. CPA (or equivalent certification) is a plus. 3–5+ years of progressive accounting experience. Experience in financial services, fintech, banking, or high-growth companies is preferred. Strong knowledge of accounting principles and financial reporting. Advanced Excel skills (Pivot Tables, Power Query, Lookups, financial modeling). Experience with ERP systems (CONTPAQ, NOI, SAP, Oracle, NetSuite, Dynamics, or similar). Experience with banking reconciliations, payroll accounting, and financial analysis. Strong analytical, organizational, and problem-solving skills. High attention to detail and ability to manage multiple priorities. Advanced English (written and spoken) required.

Location: Seattle, WA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... This is a high-impact, high-visibility Staff TPM role at the center of one of Duolingo's most strategic engineering initiatives: dramatically reducing the effort required to get results and doubling developer productivity across the organization. You'll lead this initiative in close partnership with the Developer Amplification (DevAmp) Area, a team dedicated to accelerating how engineers work through better tooling, streamlined processes, and modern engineering practices. AI is one important lever — but the goal is the outcome: step-change improvements in how fast and effectively Duolingo engineers can build. This role is for a builder and a change agent: someone who can define what "doubling productivity" means in practice, align leadership and engineering teams around it, and drive the transformation to completion. If you thrive in ambiguity, have a bias for outcomes, and can bring people along through significant organizational change, this role is for you. 🧠  You will... Define and drive the roadmap for doubling developer productivity across Duolingo — aligning engineering, product, and data science around a shared vision, sequencing the work, and holding teams accountable to measurable outcomes. Lead organizational change management as engineering teams adopt new ways of working — building alignment, communicating progress to executives and ICs alike, and helping teams internalize new processes and tooling. Partner closely with Developer Amplification (DevAmp) Area leads to accelerate developer productivity through AI-powered tooling, ensuring programs have clear goals, measurable impact, and sustained momentum across engineering squads. Lead the delivery of strategic, high-impact cross-functional initiatives from conceptualization to launch, operating with significant autonomy across multiple workstreams. Partner with engineering, product, data science, QA, and executive leadership to ensure communication and alignment; serve as the connective tissue between Duolingo strategy and day-to-day execution. Leverage deep technical expertise to develop detailed plans with key milestones and goals, identify and mitigate risks, resolve dependencies, remove blockers, and ensure timely and smooth launches. Establish and evangelize engineering practices that drive step-change improvements in developer productivity — coaching engineering leads and TPMs on new ways of working and how to measure their impact. Drive decisions when difficult tradeoffs must be made, including those with cross-organizational or company-level impact; model how to navigate hard problems with analytical rigor and a calm, decisive presence. Identify systemic issues impacting delivery efficiency company-wide and take swift, collaborative action to resolve them. Guide and develop other TPMs and engineering leads, scaling best practices across teams and continuously improving how the organization operates. ✅  You have... Proven experience as a TPM, Engineering Lead, or Engineering Manager. B.S. or M.S. in Computer Science or equivalent degree or experience. Demonstrated experience leading large-scale technical transformation programs with measurable organizational impact — you've shifted how engineering organizations think and work, not just shipped projects. Strong executive presence and influence in a matrix environment — able to build conviction among skeptics, align competing priorities across senior leadership, and drive decisions without direct authority. Deep technical credibility — enough to challenge architectural assumptions, spot delivery risks early, and earn the trust of strong engineers. Proven ability to build and implement detailed plans that account for ambiguity, dependencies, and technical complexity — and to re-plan quickly when things change, without losing team confidence or momentum. A track record of standing up new programs or practices from scratch in ambiguous, high-visibility environments. Ability to relocate to Seattle, WA. ⭐  Exceptional candidates will have... Strong knowledge of software engineering, systems engineering, or similar hands-on technical experience, in addition to program management experience. Strong conceptual fluency in LLM-based products, AI infrastructure, and developer AI tooling - enough to ask the right questions, challenge technical assumptions, and identify delivery risks. Experience running programs that include machine learning, large datasets, or AI/ML infrastructure. Experience working with AWS at scale. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $181,600 — $272,400 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we're scaling fast and we're looking for an Analytics Team Lead to make the quality of our identity technology visible, measurable, and relentlessly data-driven. The Impact You'll Make This role sits on the Document Intelligence team — the group behind Incode's industry-leading document processing. Our technology parses identity documents from around the world — passports, visas, driver's licenses, proof of address, and more — for some of the biggest enterprises on the market. Machine learning is the core of the product, and Analytics is what makes its quality visible and its roadmap data-driven. We're looking for a Senior Lead of Data Analytics who is, first and foremost, a sharp hands-on analyst — and who has the leadership experience to grow a small, high-impact team around them. Today the team is three people; you'll be the fourth, owning it end-to-end. This is a true player-coach role: you'll manage and mentor the team while personally writing the pipelines, queries, and analyses. Our analytics is partially built — some data pipelines and testing procedures are already in place, but metric coverage and visibility are far from complete. Your mission is to close that gap. What You'll Own & Drive Lead & Grow the Team — Run the analytics team as a formal manager: own the roadmap, hold 1:1s and performance reviews, develop your analysts, and participate in hiring as the team scales. Stay Hands-On — This role involves a lot of personal execution. You'll write SQL and Python pipelines for data collection, processing, and labeling — and do the analysis yourself. Expand the Metric Tree — Build out the end-to-end metric tree that measures product quality across the document-processing pipeline, closing coverage gaps where the product is currently blind. Build Visibility — Create reporting and dashboards that surface weak points and turn raw signals into clear insights for ML, product, and leadership. Own ML Quality Evaluation — Drive data preparation for ML, model quality assessment, and benchmarking, in tight collaboration with the ML team. Drive Experimentation — Design, run, and interpret A/B tests across mobile and server side, with genuine statistical rigor. Guard Data & Labeling Quality — Monitor accuracy and consistency, and build the controls that keep them high. Bridge to Engineering — When events or data are missing, pinpoint exactly what's needed and where it should come from, write clear and actionable tasks for the backend and data teams, and justify their prioritization in business terms. Systematize — Turn one-off analyses into repeatable, owned pipelines and reporting cadences. Your Background Team leadership experience , paired with a genuine appetite to stay hands-on — you lead and you build. Strong Python , with a bias toward clean, maintainable, well-structured code. Strong SQL and solid experience with columnar / analytical databases. Strong statistics and experimental design — you can design tests (A/B and beyond), reason about significance and power, and interpret results correctly. Modern data tooling — experience with workflow orchestration, data transformation, cloud storage, and experiment-tracking. Our stack is Python, S3, Redshift, ClearML, Airflow, and dbt; equivalent tools are perfectly fine — what matters is that you've worked with this kind of stack. Excellent communication — you can translate a data gap into a prioritized, business-justified requirement, talk to engineers and stakeholders in their own language, and make the case for what gets built. High ownership, autonomy, and pragmatism — comfortable prioritizing impact over perfection in an evolving environment. Bonus points for: Experience with ML-centered products — evaluating model quality and working alongside ML teams. You won't be expected to train production models; at most simple models for data filtering, plus the ability to run existing ones. Familiarity with data labeling processes and quality estimation/maintenance. Domain exposure to identity documents, OCR, or computer-vision pipelines. The Qualities That Set You Apart A player-coach at heart — you draw energy from both growing people and doing the work yourself. Craftsmanship in how you build — clean code, sound pipelines, and analyses others can trust and reuse. Intellectual honesty and statistical rigor — you follow the data where it leads and know when a result is real. A translator's instinct — you turn ambiguous signals into clear insight and make the business case for what to build next. Pragmatism and high ownership — you thrive in an evolving environment and push for impact over perfection. Why Incode? Mission with Meaning — Shape how billions of people prove identity — safely, simply, and ethically. Rocket-Ship Growth — Join at a defining moment where your work compounds in global impact. Elite Team & Technology — Collaborate with top-tier engineers, researchers, and scientists at the forefront of AI. Ownership & Autonomy — Operate with the freedom to test, build, and ship your ideas end-to-end. Global Impact — Your work will shape secure, frictionless identity verification experiences across continents. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: London Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care about each other, about UiPath, and about our larger purpose. Could that be you?   YOUR MISSION UiPath’s Intelligence Document Processing drives understanding of the documents and messages on which a business runs: invoices, claims, contracts, customer emails. We use frontier LLMs to turn all of that into structured data that automations and AI agents can act on. You'll be building the product that does it: the ingestion and extraction pipelines, the APIs customers build their operations on top of, and the systems that make those models useful, fast and trustworthy at enterprise scale. Increasingly that work is agentic. What you build is what lets AI agents ingest, understand, retrieve and reason over enterprise documents at volume, without giving up accuracy, security or governance. It's a product engineering role with complex systems and LLM-in-production problems underneath it. The same service handles a customer's first ten documents and another's ten million, runs in our cloud and inside a bank's own air-gapped datacentre, and has to be good enough that a business will act on its output. Knowing how well the models are actually doing, and what to do when the answer is "not well enough", is a large part of the job. You'll write in several languages here, and pick up new ones as the problem demands. We care much more about how you think than about what you've written it in. We're looking for someone who loves building things, learns fast, and wants to own product outcomes rather than tickets.   WHAT YOU'LL DO AT UIPATH - Work with engineers, product managers and customers to design, build and operate the AI systems behind UiPath's document processing products. - Build across the pipeline: ingestion, parsing and extraction, indexing and retrieval, and the evaluation that tells us any of it is working. - Take features from idea to production and stay with them, measuring whether they actually worked, and improving them when they didn't. - Solve genuinely hard problems in concurrency, latency and distributed systems, so the platform holds up under high-volume production workloads. - Build for environments we don't control: multi-cloud, on-premises, air-gapped, and under strict security and compliance requirements. - Use coding agents as a serious part of your toolkit, and help the team get better at it. Where to trust them, where not to, and how to keep quality high as the tooling changes underneath us. - Work with teams across UiPath and across locations to innovate and build best-in-class document processing, and occasionally with customers directly. Because the fastest way to understand a product is to watch someone use it. - Contribute to our engineering culture: mentor, review, hire, and push back when something isn't good enough.   WHAT YOU'LL BRING TO THE TEAM - A solid track record (5+ years) building and operating large-scale commercial services that real customers depend on. - Strong programming ability and the confidence to pick up whatever language a problem calls for. You'll meet Python, Rust and C# here, but we don't expect you to arrive knowing them all. - Real-world experience with cloud platforms (Azure, AWS or GCP) and containerised deployment on Kubernetes. You understand how production systems get shipped, monitored and scaled, not just written. - Comfort with data at scale: SQL, and the trade-offs between different storage and search systems. - Experience working with coding agents, and opinions about them, What responsible use looks like, where they earn their keep and where they cost you, and how you keep evaluating them in an ecosystem that changes every few months. - An appreciation for tools that catch bugs before runtime — type systems, tests, and designs that make bad states unrepresentable. Especially in the age of coding agents. - A pragmatic grasp of computer science fundamentals. We care about solving real problems with the right data structure, not reciting one from a textbook. - Experience shipping LLM-backed products to production is a strong plus: prompting, evaluation, and everything else that turns a model into a feature people will trust. - Familiarity with document processing is a plus: OCR, layout, and the messy reality of documents as they actually arrive. - An opinion on what makes good code and good architecture, and the ability to argue it, including against us. - You're a builder and a problem-solver at heart. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery. As one of the first computational members of this Life Sciences research group, you'll work on a high-impact team that operates at the intersection of computational and experimental biology. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands. You'll have substantial access to Claude and you'll help establish how computational biology operates at Anthropic. This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for scientific understanding and biomedicine. If you're excited about using your computational expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. Key responsibilities Build, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Pick up analyses across projects as priorities shift; we're looking for breadth and flexibility over a single deep specialty Minimum qualifications Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience Have a track record of computational biology research you have led end to end, from question to result, with evidence of impact (for example publications, preprints, released datasets or tools, or research that changed a program's direction) Have demonstrated breadth across multiple areas of computational biology Are proficient in one or more programming languages used in scientific computing and comfortable working on large datasets in Linux and cloud compute environments Can take an ambiguous biological question, scope the analysis, and produce a result an experimentalist can act on Communicate computational results clearly to both biologists and ML researchers Preferred qualifications Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Are results-oriented, with a bias towards flexibility and impact Hands-on experience in experimental biology, or a track record of designing experiments side by side with experimentalists Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data Deep expertise in one or two areas of computational biology (for example structural biology, metagenomics, single-cell genomics, or protein design) on top of the required breadth The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tokyo, Japan Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We're looking for a Managing Editor, Character IP to lead Duolingo's manga and anime expansion in Japan. This isn't a role for someone who manages timelines and coordinates vendors from a distance. You'll get into the weeds — developing Duo's Japanese character voice, writing plots when needed, identifying the right manga artists, and building the studio and TV network relationships that turn a great concept into something millions of people actually watch. Our roadmap goes manga first, then anime, with a TV morning show slot (think Chiikawa) as the target format for animation. This role reports into the Director of Design Studio Brand team, with a dotted line to the Director of Country Marketing Japan and Korea team. 🧠  You will... Set and uphold Duolingo’s high quality bar across all creative projects in this pipeline Partner with Design Studio Creative Directors to define Duo's Japanese character profile — tone of voice, personality details, backstory — while staying true to his globally established character bible Write your own plots and lead original story development when needed Scout and brief manga artists and illustrators who match the look and feel we're going for Build and manage relationships with publishers and editors to get manga projects off the ground Select and manage anime production studios — handling contracts, budgets, schedules, and quality Pitch to and build relationships with TV networks, with the goal of securing a morning show slot Set visual quality standards appropriate to each format and platform (TV, streaming, short-form) Keep global and local stakeholders aligned and get buy-in at the right moments ✅  You have... Hands-on manga editing / directing experience at a publisher, editorial production company, or IP firm Proven ability to develop original stories — you've written plots yourself, not just managed others who do Sharp editorial / directorial instincts for capturing a character's voice and making it feel alive on the page Real relationships with publishers, manga artists, and writers, and a track record of getting projects made Working knowledge of anime production: studio contracts, budgets, and how to get quality work at a fair value Existing connections with major TV networks and experience pitching concepts for broadcast slots Exceptional collaboration skills, seeking consensus and feedback when making decisions Business-level English  needed for collaborating with our global team — strong written English vs. spoken fluency ⭐  Exceptional candidates will have... Experience taking a manga property all the way through to anime adaptation Familiarity with social-native formats (vertical, short-form, platform-specific) Background in brand licensing, merchandise, or IP business development Experience with inbound or outbound IP localization (foreign IP in Japan or Japanese IP abroad) The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: ¥17,178,000 — ¥25,767,100 JPY Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: European Union Workplace: Remote About the Role At Playson, we’re all about crafting innovative, eye-catching designs for the gaming world. We’re on the lookout for a creative and skilled Graphic Artist to join our team, specifically for slot games. If you love creating art that combines both creative flair and technical precision, this role is for you.   Key Responsibilities - Design original logos, icons, and visual assets for slot games - Create promotional graphics for marketing campaigns across various platforms (social media, email, banners) - Refine and enhance existing promotional content to keep it fresh and engaging. - Collaborate closely with developers and content editors to ensure your designs come to life as intended - Deliver assets optimised for smooth integration with developers and animators. - Contribute to the design of game symbols, characters and promotional materials Requirements - 5+ years of experience as a Graphic Designer in the gaming or iGaming space - Strong base art skills in logo design, layout, typography, and colour theory and composition - Proficiency in Adobe Photoshop, or similar design tools - Ability to create designs from scratch, not just repurpose existing elements - Flexibility, proactivity, and a strong sense of initiative Nice to Have - Experience with animation tools like Spine - Familiarity with usability principles What We Offer - Benefit from a transparent and systematic quarterly bonus system - We offer a flexible work schedule to accommodate your needs - Choose to work remotely, providing greater flexibility and comfort - Enjoy unlimited paid vacation leave, including bank holidays - Take unlimited paid sick leave whenever necessary - Get reimbursement for professional development courses and training. We provide access to the latest tools and training for continuous growth   Recruitment Process - Portfolio review. Applications without a portfolio will not be considered for further steps - HR Interview - Take home task - Final interview By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. OUR MISSION At Humanoid we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. ABOUT THE ROLE As a Research Engineer on the World Models team, you will build action-conditioned generative models that predict how the world evolves around our robots — future video, proprioception, contacts, and outcomes — from past observations and actions. World models serve four purposes in our stack: a pretrained, physics-aware prior for our VLA policies; an engine for rare data collection, cross-platform transfer, and sim-to-real transfer; a testbed for policy evaluation and testing before hardware; and a future-prediction rollout engine that surfaces what our policies intend to do, for safety and planning. This is a hands-on individual contributor role: you will design architectures, run large training jobs, and validate your models against real fleet data from industrial deployments. WHAT YOU'LL DO - Design and train multimodal world models — video, state, action, and language — using diffusion-based and transformer architectures. - Build action-conditioned video prediction and dynamics models that stay physically consistent over long horizons, including contact-rich manipulation, and serve as pretrained priors for VLA policies. - Develop learned-simulator evaluation: score candidate policies offline, predict real-world success rates before deployment, and roll out policy futures to expose intended behaviour for safety review and planning. - Generate synthetic rollouts and counterfactual experience — including rare events, cross-platform transfer, and sim-to-real transfer — to augment policy training, and measure their effect on downstream task performance. - Establish fidelity metrics and calibration protocols that quantify where the world model can be trusted and where it diverges from reality. - Build data pipelines that turn fleet telemetry, teleoperation logs, and internet-scale video into training corpora for world models. - Run scaling and ablation studies on architecture, data mixture, and context length; communicate findings crisply. - Collaborate with pretraining, RL, and manipulation teams to integrate world models into policy training and evaluation loops. WHAT WE'RE LOOKING FOR - A track record of training large generative models — video, world, or multimodal — with shipped models or published artifacts to show for it. - Deep hands-on experience with modern generative architectures: diffusion models, autoregressive transformers, latent-variable models, or video prediction. - Experience with large-scale distributed training: streaming datasets, checkpointing and state management, debugging numerics and training instabilities. - Strong Python + PyTorch/JAX; you can profile kernels, optimize data loaders, and write maintainable research code. - Empirical rigor: you design careful evaluations, run honest baselines, and document experiments clearly. - Excitement about grounding generative models in physical reality rather than pixels alone. NICE TO HAVE - Experience with world models for robotics or autonomous driving (e.g., action-conditioned video models, learned simulators, model-based RL). - Familiarity with robotics simulators (Isaac Sim, MuJoCo) and sim-to-real considerations. - Experience using world models for policy evaluation or synthetic data generation at scale. - Publications at top-tier deep learning conferences (NeurIPS, ICML, ICLR, CoRL, CVPR) or equivalent open-source contributions. - Experience optimizing generative models for fast inference. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality to build highly performant and robust manipulation policies. WHAT YOU'LL DO - Train language-vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world. - Construct challenging and diverse suites of manipulation tasks in simulation. - Partner with teleoperations to collect trajectories in simulation for behavior cloning. - Partner with testing and operations to establish real-world RL training pipelines. - Experiment with various ways of bringing policies trained in simulation to the real world. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience solving real problems using reinforcement learning with deep neural networks in any domain. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - You are self-driven, pro-active, communicate efficiently, document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Experience with simulators for robotics (Isaac Sim, MuJoCo etc.) - Experience in RL for robotics. - Experience building infrastructure for large-scale RL (e.g. using ray). - Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a VLA Pre-training Engineer to join our Autonomy team based in London. In this role you will you will work on all aspects of training capable policies, be it pre-training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn’t strictly required. However if you don’t have such experience, be prepared that you’d need to familiarize yourself with a new domain quickly.   WHAT YOU'LL DO - Post-train policies via behaviour cloning and RL; own the full loop from data to deployment. - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage. - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data. - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes. - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Robotics or autonomous driving experience. - Experience applying RL to LLMs or robotics. - Experience with VLA (vision-language-action) models. - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). - Publications at top-tier deep learning conferences or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Software Engineer. About the job This position will be part of a team of talented engineers within our Commerce Platform Team, who build services and products that operate at a massive scale. This platform is central to Twilio's core business as it is responsible for managing the billing lifecycle and payment experience for our customers, while also acting as a gateway for discovering and selling our products. Billing is going through a transformational journey, and we are introducing new and exciting capabilities. The engineer in this role will be part of a team that focuses on the control plane, billing experience and account lifecycle management. The successful candidate will design, build, and operate core billing platform services that help transition our platform and our customers to the next generation architecture. These services work for all Twilio customers, regardless of their scale and billing complexity. The ideal candidate will build high-quality, innovative and fully performing software that complies with high levels of coding standards and technical design. This is to build and integrate services that continuously improve our ability to provide products to customers while simultaneously delivering industry leading availability. We do this by leveraging technologies that include AWS cloud infrastructure and APIs, Apache Kafka, Rest APIs (OpenAPI compliance), while also building our own services. Responsibilities In this role, you’ll: Improve your knowledge of highly available and scalable distributed systems and use this knowledge to build new features into our platform. Design, implement, and operate both new features on our current services as well as new services that will be built from scratch. Leverage your excellent communication and written skills to articulate the "why" of the solution you are proposing, and have a good understanding of your team’s priorities and the customer impact. Troubleshoot and fix operational issues and have the opportunity to improve the troubleshooting procedures and tools. Execute full software development life cycle (SDLC). Develop flowcharts and documentation to identify solutions. Write well-designed, testable code. Document and maintain software functionality. Troubleshoot, debug and upgrade existing systems. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! As a Commerce Platform engineer, you will design and build core platform services, REST APIs and take part in transitioning our platform to next generation architecture. We run on AWS cloud infrastructure and use AWS cloud data store, EKS, Glue, Kafka, Aurora RDS etc. *Required: 5+  years of work experience building highly scalable products. 5+ years of programming experience in object-oriented language  (Java or similar) with clean code practices. Expert knowledge in Object-Oriented Programming with a successful track record. Experience contributing to architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. Experience working closely with our Product team to understand requirements and help to define technical work for the team. Experience working with stakeholders at all levels - be able to dive into the nuts-and-bolts of how things work as needed. Experience with relational and non-relational databases. Experience delivering high levels of observability and proficiency in improving early warning systems, for example: has worked with Grafana/DataDog/Prometheus. Collaborating with internal/external teams/engineers and fostering an inclusive environment, where all points of view are welcomed and encouraged. Own and lead multiple domains of the platform (microservices, REST APIs, infrastructure) from inception to deployment and maintenance, while making best in class technical decisions that impact the success of the company. Familiarity in Cloud Solutions, AWS, Kubernetes/EKS, CI/CD pipelines, Testing & Automation. Self driven - you take complete ownership of your tasks and champion efforts to get your tasks to completion. Clear written and spoken communication skills. Degree in Computer Science or a related field, or equivalent work experience. Desired: Experience with on-call support for mission-critical customer systems. Experience optimizing and debugging complex SQL queries. Experience working on customer-facing applications. Good debugging skills on production systems. Proficient in Linux and containerization with Kubernetes. Nice to have skills: gRPC, Python, Typescript, React, Apache Kafka. Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Prague, Czech Republic; Group career pages; Jobs.cz Workplace: Hybrid At Rohlik, Finance is becoming more automated, data-driven and AI-enabled. But getting there means more than introducing another tool. It means understanding how finance processes really work, finding where manual effort is slowing teams down, and redesigning those processes so automation works in practice. That’s why we’re creating a new Senior Finance/Accounting Automation Specialist role within our Shared Service Centre. You’ll help turn repetitive manual work across P2P, OTC, invoicing, payments and reconciliation into smarter, more scalable processes. This isn’t a maintenance role, and it isn’t a pure developer position. We’re looking for someone who understands finance, thinks in systems and can translate a business process into clear automation logic. WHY THIS ROLE IS EXCITING - You’ll have real influence over how finance automation is built and developed. - Your work will directly reduce manual workload across the SSC and free teams to focus on higher-value activities. - We are an AI-first company — you’ll work with emerging internal agents and automation tools, not just traditional process-improvement methods. - You’ll be close to business-critical finance processes and priorities with strong visibility across SSC and Finance leadership. - You’ll join a new automation-focused team and help shape its ways of working from the beginning. - This is a builder role: you’ll see visible results from the processes you improve and the solutions you help implement. WHAT YOU’LL DO You’ll work across Finance, SSC and IT to understand processes, identify automation opportunities and turn them into reliable solutions. You will: - Map and understand end-to-end finance processes across P2P, OTC, invoicing, payments and reconciliation - Identify repetitive, inefficient or error-prone activities that can be simplified or automated - Focus on practical use cases such as: - invoice and payment matching - bank statement processing - PO creation and follow-up - settlement and reconciliation of receivables and payables - payment reminders and supplier or customer communication - Translate finance requirements into clear process and automation logic - Work with internal AI agents and automation tools, together with IT and technical support - Test automation outputs and validate that accounting and business logic are correct - Support implementation and adoption across P2P, OTC and other SSC teams - Monitor automated processes, investigate issues and improve reliability - Keep process documentation accurate and up to date - Track the impact of improvements on manual effort, processing speed, data accuracy and financial closing - Train and support finance teams so they can use new solutions effectively WHAT WE’RE LOOKING FOR We’re looking for a finance-and-systems hybrid — someone who can understand the accounting reality and improve how it works through technology. - Experience with finance process improvement, ERP implementation, finance systems or automation projects - Good understanding of accounting and finance processes, particularly P2P, OTC, invoicing, payments or reconciliation - Ability to map processes, identify root causes and translate business needs into system requirements - Experience working with finance teams and technical stakeholders - Strong hands-on experience with AI and automation tools, with a proven track record of applying them to optimize daily finance workflows - Strong analytical and problem-solving skills - Independent, self-driven approach — you’re comfortable creating structure in an environment that is still evolving - Strong communication skills and the ability to explain technical topics clearly to finance users - Fluent English is required. Czech/Slovak is an advantage, but not mandatory Nice to have: - Experience from a Shared Service Centre - Knowledge of NetSuite or another major ERP system - Experience with emerging AI agents, workflow tools or automation platforms - Background in consulting, finance transformation or ERP implementation WHAT’S IN IT FOR YOU - Fair reward - You’ll get a strong fixed salary — no bonus games, no politics. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - You’ll have real flexibility – three days in the office, 2 days Home Office where it suits you. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live — from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you…You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us?   WHAT YOU SHOULD KNOW Our automation environment is still developing. Some processes are messy, tools are not fully mature, and not every requirement will arrive perfectly defined. You’ll need to explore, ask questions and create structure yourself. This is not a comfortable role focused on maintaining finished solutions. It’s for someone who wants to build, experiment and make finance processes work better in real life. If you understand finance, enjoy working with systems and want to move into practical AI and automation, we’d love to hear from you. #LI-DH1

Location: San Francisco, CA | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring a Field Marketing Lead dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Responsibilities Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies Minimum qualifications Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you operationally Tight sales alignment — you've worked shoulder-to-shoulder with AEs and BDRs on account targeting, pre-event outreach, and post-event follow-up Operational rigor — you can stand up vendor management, registration, follow-up workflows, and ROI dashboards without being asked Technical credibility — you can review technical event content, brief technical speakers, and hold your own with founder/CTO audiences Preferred qualifications 10+ years across Field Marketing, Demand Generation, ABM, and Events at B2B technology companies Experience working inside of a Public Sector organization that went through a rapid growth phase, or a blend of Public Sectors and scaled technology companies. AI/ML field marketing experience Existing relationships with public sector associations and research institutions Visible thought leadership in the Public Sector ecosystem or developer ecosystem Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or Washington, D.C. office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote We are seeking a General Manager / Director of Clinical Operations, Psychiatry to own and oversee the day-to-day activities for a team of clinicians. This role will have control over the supply and demand sides of our business to find the sweet spot between provider flexibility and operational efficiency. To that end, you will be responsible for utilization management, capacity planning, adherence to care protocol, billing consistency, and cost control. In essence, you will be a business owner accountable for revenue growth and cost and quality control. We are seeking an experienced business leader and operator with a proven track record of delivering results across various business areas at high-growth companies. This role is highly cross-functional and collaborative. You will be working with clinicians as your main internal clients but will partner with Product and Tech, Clinical Support, and other centralized operational functions. You will be frequently finding yourself strategizing on long term goals, problem solving day-to-day inefficiencies of our operations, interpreting performance and quantitative data, and running projects into improve our experience and care quality. If you are passionate about running a business and enable clinicians in serving mental health needs, we encourage you to apply for this exciting opportunity. This role is one of the most integral parts of Talkiatry’s next chapter! ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.   Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.   Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. YOU WILL: - PARTNER WITH CLINICAL LEADERS IN A DYAD LEADERSHIP – implement policies, programs, and procedures to achieve objectives across quality, growth, efficiency, and experience. - CLINICAL CHANGE MANAGEMENT – ensure consistency of service delivery by rolling out new processes and/or enhance adoption of new technology features. - BUSINESS UNIT P&L OWNERSHIP – sustain current performance with existing data tools and process playbook, while stretching towards higher targets as we innovate as a company. - IMPROVE CLINICAL OPERATIONS – Use a structured, data-driven approach to solve old problems in new ways (e.g. patient matching & scheduling, late cancel and no show policies, care plan adherence, clinical documentation flows, etc.). - COLLABROATE WITH CENTRAL OPERATIONS – Work closely with Analytics & Insights and Program Management to scale regional solutions for practice-wide adoption. - SUPPORT COMMERCIALIZATION – Partner with Strategic Operations and Marketing to engage referral partners and specialty patient populations. - SUPPORT ORGANIZATIONAL CULTURE – Leading by example, fostering a culture of empathy, service, collaboration, accountability, and inclusion. YOU HAVE: - 5-10 years of experience in operations, driving results across diverse business sectors and/or at high growth healthcare companies. - Bachelor’s degree, preferably Master of Business Administration or Healthcare Management. - Background in banking or consulting, experience honing strong analytical skills paired with the ability to execute operational tactics and measure impact in an unbiased way. - Exceptional presentation and communication skills with the ability to motivate and inspire diverse audiences, both clinical and non-clinical. - Willingness to travel occasionally for in-office work, conferences, and regional events. - Passion for mental health care delivery and the desire to use your talents to help the hands that heal, supporting our clinicians professionally in an ever-changing environment. WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands - It all comes back to care: we’re a mental health company, and we put our team’s well-being first Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Location: United States Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About position The Forward Deployed AI Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. Lead executive conversations using a structured, answer-first (BLUF) approach. Manage escalations and expectations with composure and integrity. Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions. Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions. Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus. Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies. Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage. Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models). Advanced degree (MSc/PhD) in AI, CS, or a related field. Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer Freelance (B2B) collaboration , with a path into a project team if things go well; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Germany Workplace: fully About the Client Our client is a global payment processing company that offers comprehensive payment infrastructure services. They provide acquiring, issuing, and processing solutions to merchants, fintechs, and banks worldwide. Their range of services includes payment acquiring, BIN sponsorship, white-label card issuing, and a digital banking platform, catering to the needs of various industries such as e-commerce, digital businesses, and retail. Role Overview This is an exciting opportunity to drive business growth across Austria and Germany. As a Sales Manager, you will play a crucial role in expanding the company's merchant base in the DACH region. You'll leverage your existing network and industry knowledge to identify new opportunities and lead commercial negotiations. This fully remote role offers the chance to work independently while collaborating with various teams to ensure successful merchant activation. Key Responsibilities Develop and manage a pipeline of merchants across Austria and Germany, focusing on low- and mid-risk industries, including e-commerce and SaaS. Drive new business acquisition by leveraging your existing network of merchants and partners. Identify merchant needs and position the company's payment solutions effectively. Lead commercial negotiations, including pricing and contractual agreements. Collaborate closely with Risk, Compliance, Operations, and Onboarding teams. Build and maintain relationships with local partners and industry stakeholders. Represent the company at industry events and fintech conferences in the DACH region. Maintain accurate CRM records and sales forecasts. Monitor market trends and competitor activity relevant to the German-speaking market. Requirements 2+ years of B2B sales or business development experience in payments, merchant acquiring, or related fields. Strong understanding of merchant acquiring, payment processing, and transaction flows. Experience selling payment solutions to merchants in the DACH region is highly preferred. Existing network of merchants or business contacts within Austria and/or Germany is a strong advantage. Familiarity with European payment infrastructure and local payment methods. Experience working with regulated financial institutions is a plus. Ability to work independently while managing multiple opportunities. Languages: English, German. Experience in fintech. Key Soft Skills Excellent relationship-building and networking abilities. Strong negotiation and commercial acumen. Self-motivated with a proactive, ownership-driven mindset. Excellent communication and presentation skills. Results-oriented with the ability to thrive in a fast-growing fintech environment. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.