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Location: Montreal Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities: Design and develop full-stack applications that power GenAI applications and platforms Develop and maintain frontend applications using Next.js with API routes. Design and implement visually appealing and responsive user interfaces using Tailwind CSS / Shadcn or other CSS libraries. Write clean, efficient, and scalable code in Python and TypeScript . Work with various libraries or frameworks based on project requirements. Be up-to-date with latest happenings in AI and Associated AI tools, technologies and frameworks (e.g. MCP, Agentic systems) Build APIs and infrastructure to support LLM-based features, tools, and agent workflows. Collaborate with frontend, ML, and product teams to create seamless AI experiences. Optimize backend systems for performance, scalability, and reliability. Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.) Maintain clean, secure, and production-grade code Qualifications & Skills: 1–3 years of experience in full-stack development. Proficient in Python and Typescript. Strong experience with REST APIs, microservices, and scalable cloud infrastructure. Experience building or supporting GenAI applications and/or LLM-powered products. Comfortable working with and building Agentic systems (e.g. building custom Lovable or Claude Code for custom applications) Exposure to cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Excellent problem-solving, communication, and collaboration skills Nice to Have: Experience building and scaling AI-powered SaaS products Contributions to open-source GenAI projects Understanding of context engineering and agent orchestration frameworks Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Full Stack AI Engineer, we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds

Location: Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA 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 As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting. Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected). You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.). Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries. Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. Thrive in ambiguity and bring structure where none exists. Have a builder's mindset — you're here to create a function, not join one. 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: $275,000 — $380,000 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: United Kingdom Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. So you’re interested in becoming a Manager in our Paid Social Practice? Let's dive into what that means: As a manager in Paid Social you’ll deliver best-in-class work for clients. You’ll apply your Paid Social knowledge and experience so that you have a positive impact on client deliverable and the wider team around you. You will help to define the campaign delivery plan, including objectives and ways in which work can be successful or optimised further. You will also generate and promote innovative new concepts to clients applying our test and learn approach and share successes across the practice by identifying and improving guidelines, playbooks and processes including opportunities to automate work In this role you will: Be responsible for delivering highly successful, brilliant campaigns that outperform KPIs, to budget and on-time. Start to define campaign delivery plans and measurement targets. Effectively track and optimise campaigns. Be a point of contact for our clients on day to day tasks and deliverables Develop and implement, as well as follow guidelines and processes contributing to ideas around automation or process improvement. You’ll actively contribute to developing best-practice roadmap so that our Paid Social offering is continually developing. Mentor others across the practice helping to grow capability and knowledge. We’re looking for someone who: Has a strong Paid Social delivery track record with 2+ years of experience. Is passionate about their craft. Has demonstrable success in optimising Paid Social campaigns and work through automation, processes and technology adoption/development. Has a good understanding about how other channels work and optimise together. Is a confident, dynamic, engaging and authentic communicator who cares about the quality of work and continuous learning. Is passionate about growing the knowledge of those around you Has excellent presentation skills and strong data analysis and reporting skills. Has a strong attention to detail, methodical and process orientated. And this is what success looks like in the role: You will live our culture code every day! Effective campaign creation and delivery metrics. Internal targets/metrics on technology adoption and process optimisation met. You will hit our quality assurance metrics on all campaigns you lead. Client satisfaction targets being met (internal & external) Learning certifications created and met across the practice. Active involvement in mentoring less experienced Paid Social colleagues This role is UK Based - with some office requirement. What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

Location: Louisville, KY General Summary The Loan Originator Assistant (LOA) is a key front-line sales support branch employee with direct communication with Clients and Realtors. The LOA is responsible for assisting with loan files and providing administrative support functions to assigned Originators or managers within the branch. The LOA should project an outgoing personality and can self-motivate toward results. This position may also provide an opportunity to become a licensed loan originator, which includes completing additional state licensing requirements. Duties and Responsibilities The primary job duties and responsibilities of this position include but are not limited to: Facilitate the completion of loan applications, coordinate collection of documentation including credit reports, run DU/LP/AUS, prepare loan files for processing, and send closing cost worksheet to borrowers Coordinate discussions between the Loan Originator, referral partners, and clients as a primary contact throughout the lifecycle of the loan process, and arrange meetings to ensure any follow-up actions are completed Promote Envoy's products to Real Estate Agents, Home Buyers, leads, and referral sources while tracking and managing follow ups Assist Loan Processor with putting scenarios together for prospective clients (researching client scenarios with underwriting and investor guidelines) Assist with call backs to prospects that require a phone consult prior to a face to face or virtual meeting Assist in managing a pipeline consisting of conventional, FHA, VA, and USDA loans, along with 203K and reverse mortgage products Request and gather relevant information/documents from the borrower to complete the application, its structure and all loan disclosures Follow up and respond to customer and in-house inquiries on transactions to offer superior customer service Enter loan applications into Loan Origination System (LOS) and assign to Originator/LOA Review all loan package paperwork checking for inconsistencies, omissions, and inaccurate income calculations, reporting any errors to the Originator Call and obtain conditions from borrowers and Realtors to clear conditions, as necessary Review documents and entire loan files and work to prevent problems by highlighting deficiencies Monitor the process and communicate effectively with the borrower and all other parties to the transaction on the status of the loan Understand and research investor guidelines and stay up to date on program changes that effect the processing or originating of loans in pipeline Submit complete files to processing based on Investor and/or AUS requirements Communicate loan approval by sending pre-approval/commitment letters to all parties involved in transaction Responsible for periodic status calls to all parties involved in transaction (Clients, Realtors, Builder, etc.) Send out correspondence -- Thank you cards, Closing Cost Calculators, etc. Order Appraisals and 3rd party services (VOE, Title, certifications, and related documents to create loan packages for processing Coordinate Closing details with Client -- Final Payment, rate, Cash to Close, etc. Review all closing statements, compare to signed loan estimate worksheet before signings and correct discrepancies Review & create disclosure and re-disclosure packages and deliver to the borrower Deliver appraisals and/or property valuations to the borrower and document proof of receipt Facilitate timely closings by working directly with the Title Company and customer to schedule Develop complete knowledge of Envoy's products, systems, and competitive advantages Become familiar with Envoy's process, policies, and procedures Maintain regular attendance and able to work in the office Monday-Friday during regular office hours, plus potential overtime, as necessary General clerical and phone support, as needed. Additional duties as assigned Under no circumstances will the Loan Originator Assistant engage in any of the following tasks: Quoting rates Offering or negotiating the terms of a mortgage loan Taking a mortgage loan application Any other activities that require a Loan Originator License Qualifications High school diploma or equivalent, Bachelor's degree is a plus 1+ years of experience as a LOA/Loan Partner preferred Knowledge of Microsoft Excel, Word, and Outlook Ability to learn, or have past in-depth experience, in a customer facing role Ability to analyze issues and create effective resolutions, while managing multiple projects concurrently Ability to process, organize and interpret large amounts of data, which reflects loan files Excellent customer service skills and adept at working in a team environment Must be a self-starter who is reliable, detail oriented with the ability to resolve issues Exceptional follow-up, time management, interpersonal, and verbal and written communication skills Willingness to learn, self- motivated, social media savvy and a forward thinker Physical Requirements The employee must occasionally lift and/or move up to 25 pounds Specific vision abilities required by this job include close vision While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or feel; reach with hands and arms; and talk or hear The employee is occasionally required to stand; walk; climb or balance and stoop, kneel, crouch or crawl Job Type: Non-Exempt Compensation: $18-20/hour Benefits: (Full-Time) - Health Insurance - Paid Time Off (PTO) - Paid Holidays - 401(k) Schedule: Monday to Friday We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. We are committed to creating an inclusive environment for all employees.

Location: Louisville, Kentucky General Summary The Loan Originator Assistant (LOA) is a key front-line sales support branch employee with direct communication with Clients and Realtors. The LOA is responsible for assisting with loan files and providing administrative support functions to assigned Originators or managers within the branch. The LOA should project an outgoing personality and can self-motivate toward results. This position may also provide an opportunity to become a licensed loan originator, which includes completing additional state licensing requirements. Duties and Responsibilities The primary job duties and responsibilities of this position include but are not limited to: Facilitate the completion of loan applications, coordinate collection of documentation including credit reports, run DU/LP/AUS, prepare loan files for processing, and send closing cost worksheet to borrowers Coordinate discussions between the Loan Originator, referral partners, and clients as a primary contact throughout the lifecycle of the loan process, and arrange meetings to ensure any follow-up actions are completed Promote Envoy's products to Real Estate Agents, Home Buyers, leads, and referral sources while tracking and managing follow ups Assist Loan Processor with putting scenarios together for prospective clients (researching client scenarios with underwriting and investor guidelines) Assist with call backs to prospects that require a phone consult prior to a face to face or virtual meeting Assist in managing a pipeline consisting of conventional, FHA, VA, and USDA loans, along with 203K and reverse mortgage products Request and gather relevant information/documents from the borrower to complete the application, its structure and all loan disclosures Follow up and respond to customer and in-house inquiries on transactions to offer superior customer service Enter loan applications into Loan Origination System (LOS) and assign to Originator/LOA Review all loan package paperwork checking for inconsistencies, omissions, and inaccurate income calculations, reporting any errors to the Originator Call and obtain conditions from borrowers and Realtors to clear conditions, as necessary Review documents and entire loan files and work to prevent problems by highlighting deficiencies Monitor the process and communicate effectively with the borrower and all other parties to the transaction on the status of the loan Understand and research investor guidelines and stay up to date on program changes that effect the processing or originating of loans in pipeline Submit complete files to processing based on Investor and/or AUS requirements Communicate loan approval by sending pre-approval/commitment letters to all parties involved in transaction Responsible for periodic status calls to all parties involved in transaction (Clients, Realtors, Builder, etc.) Send out correspondence -- Thank you cards, Closing Cost Calculators, etc. Order Appraisals and 3rd party services (VOE, Title, certifications, and related documents to create loan packages for processing Coordinate Closing details with Client -- Final Payment, rate, Cash to Close, etc. Review all closing statements, compare to signed loan estimate worksheet before signings and correct discrepancies Review & create disclosure and re-disclosure packages and deliver to the borrower Deliver appraisals and/or property valuations to the borrower and document proof of receipt Facilitate timely Closings by working directly with the Title Company and customer to schedule Develop complete knowledge of Envoy's products, systems, and competitive advantages Become familiar with Envoy's process, policies, and procedures Maintain regular attendance and able to work in the office Monday-Friday during regular office hours, plus potential overtime, as necessary General clerical and phone support, as needed. Additional duties as assigned Under no circumstances will the Loan Originator Assistant engage in any of the following tasks: Quoting rates Offering or negotiating the terms of a mortgage loan Taking a mortgage loan application Any other activities that require a Loan Originator License Qualifications High school diploma or equivalent, Bachelor's degree is a plus 1+ years of experience as a LOA/Loan Partner, Processor, Loan Officer, and/or Underwriter preferred Knowledge of Microsoft Excel, Word, and Outlook Working knowledge / Proficiency in Desktop Underwriter/Desktop Originator (DU/DO), Loan Prospector (LP), and originating systems, Encompass experience preferred Ability to learn, or have past in-depth experience, in mortgage banking process, with a preference in residential mortgage banking Ability to analyze issues and create effective resolutions, while managing multiple projects concurrently Ability to process, organize and interpret large amounts of data, which reflects loan files Excellent customer service skills and adept at working in a team environment Must be a self-starter who is reliable, detail oriented with the ability to resolve issues Exceptional follow-up, time management, interpersonal, and verbal and written communication skills Willingness to learn, self- motivated, social media savvy and a forward thinker Physical Requirements The employee must occasionally lift and/or move up to 25 pounds Specific vision abilities required by this job include close vision While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or feel; reach with hands and arms; and talk or hear The employee is occasionally required to stand; walk; climb or balance and stoop, kneel, crouch or crawl Job Type: - Non-Exempt Compensation: - Regular Pay: $12.00 - $19.00/hour Supplemental Pay: - Bonus Pay (eligible) Exact compensation may vary based on skills, experience, and location. Benefits: (Full-Time) - Health Insurance - Paid Time Off (PTO) - Paid Holidays - 401(k) Schedule: - Monday to Friday We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. We are committed to creating an inclusive environment for all employees.

Location: San Francisco; Remote (United States); London; Belgrade; New York City ABOUT THE ROLE Perplexity is seeking a hands-on Software Engineer to build and evolve the software, automations, and systems that power our security operations. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure. RESPONSIBILITIES - Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling. - Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks. - Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking. - Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations. - Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features. - Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis. - Build automation to reduce manual work in incident response, containment, and remediation. - Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms. QUALIFICATIONS - 4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities. - Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools. - Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms. - Practical experience with threat modeling, secure design, or application security reviews for services or features. - Experience operating or contributing to bug bounty or vulnerability management programs is a plus. - Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments. - Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements. - Bonus: Experience designing or improving AI-powered agents or automation used for security operations.

Location: San Francisco; Remote (United States); London; Belgrade; New York City ABOUT THE ROLE Perplexity is seeking a hands-on Software Engineer to build and evolve the software, automations, and systems that power our security operations. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure. RESPONSIBILITIES - Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling. - Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks. - Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking. - Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations. - Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features. - Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis. - Build automation to reduce manual work in incident response, containment, and remediation. - Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms. QUALIFICATIONS - 4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities. - Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools. - Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms. - Practical experience with threat modeling, secure design, or application security reviews for services or features. - Experience operating or contributing to bug bounty or vulnerability management programs is a plus. - Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments. - Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements. - Bonus: Experience designing or improving AI-powered agents or automation used for security operations.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We’re looking for a Staff Backend Engineer with extensive experience in distributed systems, large-scale backend architecture, and high-volume storage systems. You will own systems end-to-end—from schema design and API architecture to deployment, observability, and operational excellence. The work is highly dynamic, and you will operate in a fast-paced environment where we continuously evolve the platform to support enormous growth in traffic, data, and global usage. You’ll collaborate across engineering, SRE, Product, and Design while acting as a technical leader who simplifies complexity, elevates engineering quality, and improves a globally critical developer platform. If you’re passionate about building and operating massive-scale distributed systems with huge data and throughput demands, this role is for you. _______________________________________________________________________ RESPONSIBILITIES DISTRIBUTED SYSTEMS & BACKEND ENGINEERING - Architect, build, and operate high-scale distributed systems powering Docker Hub’s registry platform—spanning artifact storage, metadata services, indexing workflows, and performance-critical APIs. - Lead the design and implementation of backend services with a strong emphasis on scalability, correctness, resilience, and performance. - Drive major initiatives around multi-region replication, caching strategies, request-path optimization, and core registry reliability. DATA INFRASTRUCTURE & STORAGE - Design, optimize, operate the data and storage layers - for both Relational and NoSql as well as object storage and related technologies. - Develop schemas and data models to support high-throughput, large-volume workloads. - Own systems end-to-end—from storage-layer behavior to API design, deployment workflows, and production monitoring. OPERATIONS, OBSERVABILITY & SCALE - Improve the performance and reliability of one of the world’s largest repositories of container images. - Develop and enhance observability through metrics, traces, alerting, and dashboards. - Lead improvements to deployment and operational tooling (e.g., Argo CD, GitHub Actions). - Participate in on-call rotations as part of supporting critical production services. LEADERSHIP & COLLABORATION - Mentor engineers and lead design and architecture reviews. - Partner with Product, Design, SRE, and Platform teams to deliver high-impact projects. - Engage with open-source communities, cloud-native partners, and the broader ecosystem. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years backend engineering experience with deep expertise in distributed systems and large-scale backend architectures. - Strong production experience with Golang, including designing and operating large Go-based services in cloud environments. - Strong production experience with Kubernetes, including operating services at scale. - Experience designing and running high-scale storage systems (PostgreSQL, DynamoDB, or equivalent) in production. - Experience building and operating cloud-based services (AWS preferred). - Experience with event-driven or streaming systems, such as Kafka, SNS/SQS, or equivalent. - Strong foundation in software engineering best practices: design documentation, testing strategies, CI/CD, code review, observability. - Comfortable functioning autonomously in a fully distributed, remote-first team and working effectively in a fast-paced environment. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience NICE TO HAVE - Experience with OCI registries, artifact stores, or large-scale content distribution systems. - Familiarity with search/indexing systems or metadata-rich architectures. - Contributions to cloud-native or open-source ecosystems. WHAT WE’RE LOOKING FOR - An engineer with deep experience in distributed systems and large-scale storage - Someone who thrives in a fast-paced environment and consistently optimizes for reliability, automation, and performance. - A technical leader who takes ownership of complex systems and drives long-term architectural direction. - An engineer energised by the challenges of operating a global developer platform at massive scale. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.  This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. WHAT YOU’LL DO - Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions - Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements - Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention - Collaborate across teams to drive reliability, security, and compliance throughout the software lifecycle - Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality. WHAT YOU HAVE  - 5+ years of experience in Site Reliability Engineering or similar roles supporting production environments - Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.). - Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.) - Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.) - Strong programming skills (Python, Bash, Go, or similar languages) - Proven track record of diagnosing complex system problems and implementing durable solutions - Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles - Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence COMPENSATION RANGE $200,000 - $260,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.  This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. WHAT YOU’LL DO - Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions - Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements - Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention - Establish best practices for security, compliance, and reliability and collaborate across teams to drive these principles throughout the software lifecycle - Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality - Provide technical mentorship and leadership, promoting best practices and fostering team growth WHAT YOU HAVE  - 10+ years of experience in Site Reliability Engineering or similar roles supporting production environments, with proven ability to mentor and guide technical teams - Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.) - Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.) - Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.) - Strong programming skills (Python, Bash, Go, or similar languages) - Proven track record of diagnosing complex system problems and implementing durable solutions - Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles - Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence COMPENSATION RANGE $238,000 - $290,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Barcelona, Spain Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Seek the Truth and Say It with Care: We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. Leverage Data to Build Product: Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. We Work Together to Serve Others: No closed doors between teams. We share what we learn and win as one company first. Insist on Higher Standards: We don’t settle for “good enough”. We question it and push for better. Passionate Curiosity Fuels Perseverance: We ask “why”, take on ambiguous problems and keep going when they get hard. Lean Startup Mentality: Start Small, Iterate Quickly: Think big, ship an MVP first and learn fast. No big-bang releases. Ownership and Accountability: We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. We are now expanding our data capabilities and seeking an experienced Chief Data Science Officer to lead and scale our Data Science UA team function in Barcelona. This role is ideal for a leader with a strong technical background, excellent people-management skills, and the ability to turn data into actionable, high-impact product and business outcomes. Role Overview: Chief Data Science Officer will be responsible for building and growing our Data Science organization, driving advanced analytics and ML initiatives, and ensuring our products and business units are empowered by high-quality insights and predictive capabilities. You will work closely with Product, Engineering, Revenue, and Leadership teams to translate business needs into DS/ML solutions, strengthen our data infrastructure, and support decision-making across the ecosystem. This is a strategic and hands-on leadership role with significant influence on product evolution, optimization algorithms, and operational excellence. Key Responsibilities: Leadership & Strategy Lead and scale the Data Science function across the organization. Translate business and product goals into clear DS/ML initiatives and execution plans. Build and promote a strong data-driven culture across all teams. Applied Data Science & ML. Oversee development, deployment, and monitoring of ML models across Appodeal’s product and monetization ecosystem. Guide experimentation, modeling, uplift measurement, and algorithmic optimization. Ensure model quality, reliability, fairness, and performance at scale. Collaboration & Stakeholder Management. Partner with Product and Engineering teams to integrate Data Science into product roadmaps. Work with business units to identify opportunities, define DS/ML requirements, and deliver impactful insights. Communicate DS outcomes, metrics, and recommendations to leadership. Team Leadership Lead, mentor, and develop a multidisciplinary team of Data Scientists, Analysts, and ML/AI specialists. Foster knowledge sharing, best practices, experimentation, and continuous improvement. Drive hiring, talent development, and team structure optimization. Data Infrastructure & Governance Collaborate with Data Engineering and MLOps teams to ensure robust pipelines, feature stores, and model deployment workflows. Improve data quality, observability, and governance standards. Qualifications: Education Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Math, or a related field (PhD is a plus). Experience 5+ years of experience in Data Science, Machine Learning, or Applied Analytics. 3+ years in a DS leadership role (Lead DS, Head of DS, Director of DS, or similar). Demonstrated experience building and leading Data Science teams. Proven track record of delivering DS/ML solutions with real business impact. Technical Skills Strong understanding of ML algorithms, experimentation, predictive modeling, and statistical analysis. Hands-on experience with Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and analytics tooling. Solid understanding of data pipelines, big data technologies, and collaboration with Data Engineering teams. Experience with AdTech, attribution, auction mechanics, or optimization algorithms is a strong plus. Leadership & Soft Skills Excellent stakeholder management and communication skills. Ability to translate technical concepts into business language. Strong decision-making and prioritization abilities. Passion for mentoring, coaching, and building high-performing teams. What We Offer: Opportunity to build and lead the Data Science function of a global product company. Direct influence on product roadmap and business outcomes. Collaborative and international team environment. Competitive compensation package and growth opportunities. A chance to shape the future of mobile app monetization. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!

Location: Chemnitz, Germany About the Role We are seeking a results-oriented, hands-on leader to take on the role of Head of Operational Excellence: Lean & Quality & EHSE. This role combines Lean Management implementation, strategic quality leadership, and responsibility for Environment, Health, Safety & Environment (EHSE). You will drive a culture of continuous improvement, process discipline, and uncompromising safety and sustainability standards across both manufacturing and administrative processes. Reporting directly to the COO/CEO, you will play a key role in shaping the company’s operational transformation and ensuring compliance with international EHSE standards. About the Client Our client is a respected European brand in enamel-coated architectural panels and glass-fused-to-steel tanks and digestors. Its solutions are valued for their durability, aesthetic quality, and performance in harsh conditions: Architectural Panels – For tunnels, train stations, subways, and building facades, known for fire resistance, low maintenance, and long-term color retention. Storage Tanks – For drinking water, wastewater, agricultural grain, and animal feed storage, offering corrosion resistance and longevity. Biogas Digestors – For renewable energy production from organic waste and agricultural residues, trusted for gas tightness and chemical durability. The brand is now supported by a global industrial group with a successful track record of rebuilding and scaling engineering businesses in both Germany and India. With access to capital, leadership depth, and market access, the new ownership is committed to preserving the brand’s legacy while driving operational modernization. Key Responsibilities OPEX: Lean &Quality Lead the Opex (Lean and Quality) Lead the design, implementation, and continuous improvement of an Integrated Management System (IMS) for Quality, Operational Excellence, and EHSE. Drive Lean initiatives across production and office functions (value stream mapping, 5S, standard work, visual management, PDCA /A3s). Develop and implement OPEX strategies to improve productivity, reduce waste, and enhance cross-functional collaboration. Lead root cause analysis and corrective actions for quality issues; manage customer complaints and implement preventive measures. Foster a culture of quality ownership and continuous improvement across all levels of the organization. Coach and lead by example to develop employees in Lean, and quality tools; lead training and capability-building initiatives. EHSE Ensure compliance with ISO 14001 (environmental management), ISO 45001 (occupational health & safety), and ISO 50001 (energy management). Establish and monitor EHSE policies and procedures to safeguard employees, customers, and the environment. Drive proactive risk assessments, hazard identification, and preventive safety measures. Promote sustainability initiatives and energy efficiency in line with corporate responsibility goals. Lead EHSE team, audits, incident investigations, and corrective actions. Build a strong safety culture with visible leadership and hands-on engagement on the shop floor. Leadership Manage and develop a small, high-impact Quality, OPEX & EHSE team. Prepare and present performance reports to senior leadership. Act as a change agent, ensuring Lean and EHSE principles are embedded in daily operations. Requirements 5–7 years of leadership experience in quality, operational excellence, and EHSE within German industrial manufacturing. Proven track record in Lean Management, Kaizen, Six Sigma or similar methodologies – ideally certified (Lean Six Sigma Green/Black Belt). Strong knowledge of ISO standards: ISO 9001, ISO 14001, ISO 45001, ISO 50001. Experience in metal fabrication, coatings, tanks, or building materials is a plus. Hands-on mentality, analytical thinking, and structured problem-solving approach. High safety and environmental awareness; strong communication and coaching skills. High personal ownership, integrity, and ability to lead by example. Benefits Be at the forefront of restoring a legacy industrial brand with technical depth and global reputation. Drive Lean transformation, quality excellence, and EHSE leadership across a business with strong potential and international reach. Operate with autonomy, clarity, and full support from a respected international parent company. Help shape the company’s next chapter—not as a caretaker, but as a builder and change agent. Attractive compensation aligned to responsibility and results.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations New York, US San Francisco, US About the Role Cloudflare is building one of the most differentiated AI inference platforms in the market. We aren’t building another commoditized GPU-by-the-hour provider, but a globally distributed, serverless inference platform integrated into the world's largest developer ecosystem. We are looking for a leader to partner across our organization and own the go-to-market strategy for this business. As Head of GTM, AI Inference, you will serve as key connective tissue between our cutting-edge AI infrastructure, our product teams, and the global market. You will work directly with Workers AI prospects evaluating Cloudflare as a source of GPU capacity, partner with product leadership to shape how we position and package our inference capabilities, and build the analytical frameworks that help us target the right strategic customers and partners. In this role, you will help craft our operational playbook, test it against real market signals, and iterate as the landscape shifts. You will bring equal comfort building financial models for inference unit economics and engaging in strategic, consultative conversations with technical leaders and CTOs. Responsibilities Market Strategy & Positioning Lead Cloudflare's GTM strategy for AI inference, defining how we compete beyond the commoditized GPU/hour model. Develop and continuously refine our positioning around Cloudflare's structural advantages: serverless GPU pricing, edge-distributed infrastructure, and integration with the broader developer platform (Workers, R2, D1, Agents SDK). Identify and evaluate customer and partner segments where Cloudflare's inference model creates disproportionate value, prioritizing focus areas for maximum impact. Guide promotional strategies with key model partners to accelerate the adoption of new models and inference capacity. Strategic Sales & Revenue Partner directly with Workers AI prospects and high-value accounts evaluating Cloudflare for GPU capacity and inference workloads. Lead strategic sales conversations, helping prospects understand the architectural and economic advantages of our approach. Collaborate with Sales and Developer GTM leadership to build repeatable qualification frameworks and deal structures for inference revenue. Market Intelligence & Cross-Functional Leadership Serve as Cloudflare's primary listener and synthesizer for inference market signals: pricing shifts, competitive moves, model ecosystem changes, and emerging workload patterns. Facilitate internal alignment across Product, Strategy, Engineering, and GTM leadership to translate market intelligence into clear product and commercial decisions. Partner with the AI Gateway / Models Marketplace team to align strategy across both the hosting and consumption sides of the model ecosystem—ensuring our GTM motion is coherent across all channels. Analytics & Business Rigor Build the analytical foundations for the inference business: unit economics models, customer segmentation frameworks, win/loss analysis, and pipeline forecasting. Define and track meaningful business metrics for an inference platform at our stage—focusing on sustainable growth, product-market fit, and revenue quality. Utilize data-informed insights to guide strategy, test hypotheses, and adapt approach as market dynamics evolve. Desirable Skills, Knowledge, and Experience At Cloudflare, we know that great candidates come from diverse backgrounds with non-linear paths. You don’t need to tick every single box to be right for this role. If you are excited about building a better Internet and ready to make an impact, please apply. GTM & Domain Experience: Demonstrated leadership in GTM strategy, revenue growth, or strategic sales within AI infrastructure, cloud compute, or developer platforms. AI Ecosystem Knowledge: Solid understanding of the AI inference landscape, including model serving economics, GPU capacity dynamics, and ecosystem players. Analytical Aptitude: Ability to build financial models, analyze complex datasets, and translate quantitative insights into actionable strategy. Strategic Communication: Strong written and verbal communication skills, with experience presenting insights to executive leadership, technical decision-makers, and prospective partners. Adaptability: Comfort navigating fast-evolving markets, making informed decisions with imperfect data, and adjusting strategies as dynamics shift. Bonus Points Experience at an AI infrastructure company (inference provider, model marketplace, GPU cloud) or background as a technical co-founder. Familiarity with Cloudflare's developer platform, network architecture, and edge ecosystem. A background combining financial/quantitative analysis with hands-on GTM execution. Direct experience building collaborative frameworks across product and go-to-market teams. Compensation Compensation may be adjusted depending on work location. For SF based hires: Estimated annual salary of $221,000 - $304,000 For NY based hires: Estimated annual salary of $211,000 - $290,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The team The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. The Role Nebius is looking for a Senior Software Engineer to join the Hardware Infrastructure Observability team. You're welcome to work from our office in Amsterdam. We build and run low-level monitoring for servers and data center engineering systems to ensure reliability at scale. We also design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep the infrastructure healthy. Key Responsibilities: Design and develop services and agents that provide deep visibility into a large server fleet and DC engineering systems Evolve our metrics/aggregation/alerting pipelines and improve signals quality Build maintenance workflows and automation that keep fleets healthy Investigate incidents hands-on (including on-host debugging) and drive root-cause fixes Collaborate with hardware, networking, and DC operations to improve reliability We expect you to have: 5+ years of professional software engineering experience Excellent knowledge of Python and Golang or you are ready to quickly switch to these programming languages Strong Linux fundamentals Ability to write reliable code and and dig into complex problems Working proficiency in English We expect Engineers to: Manage large-scale projects involving multiple stakeholders Break down complex tasks and guide both their own work and that of more junior colleagues Be experts in specific technologies and write high-quality code that can serve as a reference Assess task priority and focus on high-impact work, avoiding low-value efforts Have strong architectural thinking and contribute to system design Be involved in hiring and actively contribute to interviews Be willing to share knowledge and mentor others It will be an added bonus if you have: Solid understanding of modern server architecture, and its components Experience with metrics/monitoring/alerting Prometheus-compatible stacks (like VictoriaMetrics) Good knowledge of computer networks Experience designing, developing, and running high-load distributed systems Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Sales Manager to join one of our clients ' Sales Department. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Job Description : Responsibilities : 1. Focus on the German market, deeply explore the needs of residential/commercial & industrial energy storage customers (such as electricity optimization for automobile factories, household PV-matched energy storage, and energy management for commercial parks), identify the core pain points of customers' project planning, formulate targeted solutions, and promote the conversion of needs into actual orders; at the same time, maintain relationships with core existing customers, and improve the repurchase rate and referral rate through regular demand follow-up visits. 2. Expand local brand agents in Germany, establish a hierarchical channel system (such as regional exclusive agents and industry-specific agents, covering scenarios like residential energy storage retail and commercial & industrial projects); formulate agent assessment standards and incentive policies (such as tiered sales rebates and market promotion subsidies), conduct regular product training and business reviews, enhance the professional capabilities and loyalty of channels, and ensure the steady growth of channel sales. 3. Develop local OEM customers in Germany (such as energy storage equipment assembly plants, PV system integrators, and smart home enterprises), negotiate customized cooperation models (such as exclusive product parameter development and joint brand packaging), expand the dimensions of the sales network, and quickly penetrate the German market with the help of local enterprise channels. 4. Conduct regular research on the German energy storage market, covering policies and regulations (such as the subsidy policy of Germany's Renewable Energy Sources Act and grid access standards), product demand trends (such as preferences for residential energy storage capacity and safety certification requirements for commercial & industrial energy storage), and competitor dynamics (such as channel layout, pricing strategies, and product selling points of competitors like Deye and Jinlang). Form a structured market analysis report and feed it back to the domestic headquarters to support product optimization and strategy adjustment. 5. Collaborate with the domestic technical and supply chain teams to customize energy storage solutions for German customers (such as backup power supplies for automobile factories and off-grid energy storage systems in rural areas); track the entire project execution process (contract signing, production scheduling, customs clearance logistics, and installation & commissioning), solve problems in cross-departmental collaboration and cross-regional delivery (such as supply chain delays and delayed after-sales responses), and ensure the efficient implementation of projects. 6. Lead business negotiations with German customers (on price, payment cycle, quality assurance clauses, and compliance requirements), and balance customer needs and company interests in line with the characteristics of German business culture (emphasis on details and compliance); establish long-term and stable customer relationships through offline visits and participation in industry exhibitions, and enhance the brand's recognition in the German market. 7. Assist in the post-execution phase of customer projects, take the lead in solving major after-sales problems (such as product failures and operation & maintenance needs), and promote the internal technical team to develop rapid solutions to ensure that customer satisfaction reaches a high level in the industry and reduce customer churn. 8. Other tasks: Complete other sales tasks related to the German market assigned by the European Regional Sales Director and the company's Vice President, and cooperate with cross-country business coordination in the European region (such as resource sharing and technical experience exchange). 1. Bachelor's degree or above, proficient in English reading, writing, and listening (able to use it as a working language); proficiency in German (the official language) is preferred, with the ability to independently conduct German business communication, contract interpretation, and local policy consultation, so as to adapt to the communication habits of German customers. 2. At least 2 years of overseas business experience in the new energy industry, with in-depth familiarity with energy storage products (residential/commercial & industrial), PV modules/inverters, lithium batteries, and system integration; candidates with energy storage business experience in Germany or German-speaking regions (Austria, Switzerland) are preferred. 3. Have successful experience in developing the German market business, familiar with the characteristics of the local new energy market (such as residential energy storage demand driven by high electricity prices and strict environmental compliance requirements) and competitive landscape; able to independently formulate regional sales strategies, with strong capabilities in market analysis, demand judgment, and risk avoidance. 4. Mature working methods, strong pressure resistance and execution ability, able to adapt to long-term residence in Germany and local cross-regional business trips; good professional ethics, meticulous and rigorous work attitude (in line with the German business emphasis on details), and outstanding learning ability, able to quickly adapt to the company's product characteristics and EU compliance requirements. Work Environment : 1. Detailed Address:-Overseas Address: Permanently based in Germany 2. Department: Sales Center (European Region) 3. Department Structure:-Global Sales Centers Distribution: Brazil (Latin America Operation Center), Vietnam/Pakistan (Asia-Pacific Core), Poland, the Netherlands (Western Europe Operation Center), Dubai (covering Africa).-Germany is a core strategic market in the European region (due to high electricity prices and strong demand for residential energy storage);-The current local team in Europe has approximately 10 people (distributed in Eastern European countries such as Poland and Romania);-A separate team has not yet been established in Germany. 4. Nationality/Background: Local German or Chinese 5. Language: Proficiency in English as a working language; proficiency in German is preferred

Location: SCYLLA AG, Worldwide ISMIRA Agency actively recruiting for position EXECUTIVE CHEF for Scylla AG! Founded in Switzerland in 1973, Scylla has been setting the standard in premium river cruising for more than 50 years. Their motto is “Quality, our passion”. Today, the company operates more than 40 modern river ships, sailing along the Rhine, Danube, Seine, Rhône, Saône, and many other beautiful rivers across Europe. As Executive Chef , you are the culinary leader onboard, responsible for managing all kitchen operations, maintaining exceptional food quality, and inspiring a high performing team. Your role is central to ensuring every guest enjoys outstanding dining experiences while fostering crew development, operational efficiency, and a safe, hygienic kitchen environment. You balance creativity, leadership, and hands-on culinary expertise to set the standard for Scylla’s onboard gastronomy. Conditions: Free food and accommodation on board Seasonal work with contracts from March to November renewable each season River ships are located in Europe - closer to home No Safety certificates or Seaman's book required Possibility to take paid days off and vacation during the season Excellent working conditions, pension plan and health insurance Free internet (10 GB per month) Shore leave almost every day There are always more openings for German speakers Some vessels offer free German language courses on board Duties and responsibilities: Responsible and production hands-on for the professional preparation and presentation of daily meals on board according to the menu cycle and Scylla standards. Responsible for guest satisfaction and the corresponding ratings. Collaborating with the Hotel Manager and all heads of departments. Responsible for flawless cleanliness, order and compliance with the company hygienic concept according to HAACP in the kitchen area, in all storage and cold storage rooms, in the waste room as well as regular general cleaning. Responsible for dealing carefully with equipment, machines and cleaning agents. Final responsibility for the daily collection of meal samples and their documentation. Final responsibility for healthy and varied meals for the crew. Final responsibility for the separation of waste in the Galley area and contact person for nautical staff in disposal active assistance in the kitchen and in the inventory management. Co-creation of F&B activities and events on board. Preparation of inventories and orders for the kitchen, acceptance and control of goods delivered for the kitchen as well as correct storage, incl. reporting obligation to the corporate staff. Schedule and coordinate the work of chefs to assure that food preparation is economical and technically correct and within budgeted labor cost goals. Establish controls to minimize and supply waste. Provide training and professional development opportunities for all kitchen staff. Responsible for team building and team spirit in the kitchen (role model function). Fair and equal treatment towards all crew. Managing, training and mentoring the kitchen crew according to Scylla standards. Daily team briefing as well as working in of new crew. etc. Requirements: Minimum of 6 years of culinary experience in this role with an outstanding and proven management skills and extensive hands-on experience. Advanced culinary skills including food preparation, flavour pairings and other cooking best practices. Exceptional leadership skills, “self-starter” with strong organization and communication skills. Preferably graduated within hotel industry and/or previous river cruise ship experience. Strong cuisine knowledge of trends in the industry. Able to train crew members in each area of hotel operation, able to build up the trainings. Flexibility, stress resistant, calm under the pressure, resilient and team player with positive approach. Professional attitude and appearance, reliable and hard-working with great team spirit. Open minded and flexible with high social, interpersonal and cultural competencies. Excellent English skills (written & verbal), other languages as German is an advantage. Ability to work independently, within both the preparation and service time, guest oriented, able to run proficiently the assigned station. Good computer skills (Excel, Word, PPT). Being representative of Scylla´s values. Age: min. 18 years old Non-EU nationals will need D type German visa before joining Why Join Us At Scylla, you’ll support a dynamic, international team while helping create unforgettable dining experiences for our guests. You’ll work in a collaborative, supportive environment where your skills are valued, your growth is encouraged, and your contributions make a real impact. Enjoy traveling across Europe, developing your hospitality career, and forming lasting friendships—all while delivering first-class service onboard our luxury river cruise ships. NOTE: Nationalities that we can process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇷🇺 🇧🇾 🇺🇦 🇲🇩 🇰🇿 🇰🇬 🇺🇿 🇦🇲 🇦🇿 🇹🇯 🇹🇲 🇬🇪 EU nationals can apply and join during whole season without visas Ukrainian citizens with residence permits in EU may also apply Non-EU citizens German speakers may also apply to all positions Culinary positions are open for EU and NON-EU (English or German speakers) Last updated: October 30, 2025 You can submit your Resume here pushing APPLY TO POSITION button If you are not sure what position to apply for, you may instead submit general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's AI Group is responsible for defining new ML products, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, novel applications of transformer neural networks and fine-tuned LLMs. We test and measure the real customer impact of everything we deploy. We plan to double in size, and are on the lookout for an experienced manager to manage a team of highly-performing ML scientists. Engineering managers in Fin are not just people managers: they also have a track record of IC contributions, and can stay close to the work of their team. We won’t ask you to write code every day, but you should feel comfortable giving technical advice to your team and having a good deep grasp of what it should (or shouldn’t!) work on (and maybe even do an occasional code review or a PR). What will I be doing? Managing, mentoring and coaching a team of 10+ ML scientists, spread across our three offices in Dublin, London and Berlin. Collaborating with ML, engineering, product, and design leaders to shape work of the team and the impact it has on our products. Enabling your team to achieve high levels of productivity, performance and reliability. Expanding the team and promoting its brand both internally and externally (recruitment, event planning, etc.). What skills might I need? Experience leading, developing and supporting ML teams that deliver impact quickly. A 5+ year track record of your own individual contributions in ML, AI, NLP, or data-related field. Excellent applied ML and coding skills. The ability to thrive in an ambiguous environment with a high degree of autonomy. Strong communication skills, both within technical teams and across disciplines. MSc or PhD in an ML-related field, or similar knowledge. Bonus skills & attributes Track record shipping ML user-facing products. Experience in a research environment. Deep experience in an applicable ML area - e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering. Data skills: visualization, SQL etc. Deep knowledge of software engineering practices. Experience in recruiting ML scientists in a capacity similar to a hiring manager. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We're building a new function at Fin: AI Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin's AI platform and AI agent. As a Staff AI Product Manager, you’ll shape the vision, strategy, and roadmap for core AI systems that power Fin and Fin's AI features. You’ll work at the intersection of advanced AI research, cutting-edge product development, and real customer problems, helping us build world-class AI products that deliver meaningful business impact. This is a high-ownership role for a technical, customer-obsessed PM who thrives in fast-moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences. What will I be doing? Lead a major part of our AI product surface. You’ll own an important area of Fin's AI platform or AI agent and be accountable for its vision, strategy, and impact. Deeply understand customers, the business, and the technology. You’ll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You’ll use this understanding to make high-quality decisions and build a compelling roadmap. Work side-by-side with a world-class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into high-value product experiences. Ship ambitious, high-quality AI product. You’ll take AI concepts from early exploration through to production launches. You’ll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful. Collaborate across the company. You’ll work closely with our core product org to integrate AI across the Fin platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact. Lead through clarity, ownership, and momentum. You’ll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes. What skills do I need? Strong AI and technical fluency. You’ve built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade-offs with technical partners. You’re comfortable working autonomously in complex technical spaces. Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences. Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team. Ability to build world-class product. You collaborate deeply with engineering and design to ship high-quality software. You know how to test, measure, and iterate on AI systems and user-facing AI features. You care deeply about safety, reliability, and delivering customer value. Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you. Why you'll love it here You’ll work with an experienced AI team that has been shipping AI long before it was mainstream. You’ll have real autonomy, real impact, and real responsibility. You’ll help build the next generation of customer service through the power of AI. You’ll help shape the future of AI PM craft at Fin. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.