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Location: US Remote; SF Bay Area; San Jose; California; Seattle Workplace: Remote ABOUT THE ROLE This is an ideal opportunity for a highly motivated individual to get in on the ground floor as we build out our Technical Support function at Cyberhaven. The Technical Support Engineer candidate is passionate about technology, is always curious, and driven to delight customers. A true problem solver, you will take personal ownership in seeing a problem through to resolution or escalating and collaborating with some of the most talented engineers in the world. You will become an expert on Cyberhaven’s Data Detection and Response platform, understand how it interacts with all the endpoints our customers interact with, and understand how our customers are trying to reduce data loss threats across the organization.  Ideally, you will be comfortable speaking with security and customer operation teams. You must have technical depth, be client obsessed, and experience with a Saas based security product. Having the desire to take initiative, own and resolve customer issues, and love working in a fast paced, high growth environment is key. This role reports to the Director of Support. WHAT YOU’LL BE DOING - Provide well-thought out and reliable directions in technical and non-technical terms, to help customers solve reported issues and guide them on proper use of our platform. - Take ownership of customer issues, including initial troubleshooting, identification of root cause and issue resolution or escalation. - Identify and escalate priority issues that need immediate attention. - Build an excellent rapport with our backline engineers and collaborate on solving complex issues. - Meet or exceed customer expectations on response quality, timeliness of responses and overall customer experience. - Serve as internal and external point of contact on customer escalations and ensure customer issues are resolved as expediently as possible. - Collect information, attempt to reproduce reported behavior, and document bugs with Engineering for product issues that are impacting customers. - Create process and troubleshooting documentation to enhance our support knowledge base. - Work with client resources and stakeholders to understand their data security risks and threats. - Work closely with the broader CX team to build processes, reporting, and metrics that will showcase Support productivity and client satisfaction. WHO YOU ARE - 2+ years experience in providing technical support to customers for software solutions - Deep technical background, with hands-on experience in supporting and troubleshooting security and/or endpoint technologies. - Ability to learn new technologies quickly. - Experience with Salesforce, JIRA and Github. - Proven experience with managing external and internal stakeholders. - Experience working with complex endpoint DLP solutions. - Ability to manage high priority support requests.Ability to work closely with a development team to communicate customer requirements. - Proven experience in meeting customer SLA expectations. - Excellent problem-solving and analytical abilities with creative and logical thinking. - Highly motivated, customer-centric person, strong customer empathy and focus. - Ability to work as part of a global team. Ability to remain calm, composed and articulate when dealing with tough customer situations. - Excellent written and verbal communication skills. - Strong problem-solving abilities (especially over the phone). Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: USA Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who we're looking for:We are looking for an Enterprise Customer Success Manager who will be working with strategic customers across the North American market. The candidate should be based on the U.S. East Coast, with candidates in the Central Time Zone potentially considered. This role will focus on strategic customers with a strong emphasis on banks, credit unions, and other financial services organizations.Key Responsibilities:Maintain and develop long-term relationships with strategic customers in the Corporate & Enterprise segment across North America.Act as a trusted advisor to assigned accounts and communicate effectively with stakeholders at different levels, including C-level executives.Control and audit delivery processes in implementation projects for Corporate & Enterprise customers, identifying early red flags to prevent delivery and launch-related issues.Become a Creatio product expert and help customers achieve their desired business outcomes, value realization, strong product adoption, and high ROI.Develop a deep understanding of customers' business priorities and proactively identify opportunities to support their long-term success.Grow the customer portfolio through strong retention, zero churn, and active cross-sell and upsell.Collaborate closely with internal Sales, Delivery, Support, Product, and Partner teams to ensure a consistent customer experience.Requirements:Minimum 3+ years of B2B Customer Success, Account Management, or Project Management experience working with Enterprise accounts in the U.S.Experience working with banks and/or credit unions and a good understanding of their business models, key processes, and customer/member needs.Proven track record of building strong customer relationships, driving adoption and value realization, and supporting retention and account growth.Strong executive-level communication skills and experience engaging with senior and C-level stakeholders.Experience working with CRM, BPM, or low-code/no-code solutions is preferred.Experience overseeing complex technology implementation projects and proactively identifying customer or delivery risks is a plus.Strong customer-centric mindset with a track record of delivering customer success.Ability to navigate complex customer organizations, coordinate multiple stakeholders, and drive issues toward resolution.Desire to learn and adapt quickly in a fast-changing market and technology environment.Ability to travel for customer meetings and onsite engagements as needed.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Algiers, Algeria Workplace: hybrid title: "Backend Engineer — Ad Serving & Integrations" subtitle: "Rust · Distributed Systems · Ad-tech" - Backend Engineer — Ad Serving & Integrations -Context & Vision In 2026, writing code is no longer the primary bottleneck; managing its complexity and ensuring its reliability is. We are building a highly resilient advertising platform with a very lean, senior internal team, and we intend to keep it that way. To achieve scale without the overhead of a large engineering department, we rely on an AI-first development paradigm and a philosophy borrowed from the best large-scale open-source projects. Our code is not public, but our governance is theirs: asynchronous communication, exhaustive written documentation, explicit rules, and uncompromising quality gates. It is the only way a small team of humans and AI agents ships serious systems without accumulating technical debt. This role owns the part of that platform where money and latency meet: the serving path and the integrations to external ad systems. -The Role You will own, end to end, the connectors and serving logic that turn an ad request into a served, billed impression. This is hands-on, systems-level backend work with a direct revenue impact and a low tolerance for error. 1. Ad Serving & Integrations. Build and own the integrations to external ad servers and demand partners, the serving gateway, and the augmentation and bidding logic that sits between them. You are the person who understands, precisely, how these systems talk to each other and why. 2. Correctness on the Hot Path. The serving path is real-time and handles money. You will hold the line on latency, on monetary correctness, on idempotency, and on the reconciliation between what was decided, what was cleared, and what was billed. A silent error here is a production incident. 3. AI-First Delivery.We expect AI to write the majority of the code; you are the editor, not the typist. You will specify work as explicit, self-sufficient issues, direct agentic tooling (e.g. Claude Code) to implement, and remain the final gatekeeper on every diff, whether it came from an agent or a human. 4. Governance & Documentation. Everything is written down. You will maintain Architecture Decision Records for the integration contracts you own, keep API definitions as the single source of truth, and enforce strict review on your own domain. If it is not documented, it does not exist.  The Tech Stack - Language: Rust (backend, asynchronous services). - Interfaces: gRPC and REST service APIs, contract-first. - Data & Messaging:relational databases, event streaming. - Domain:ad serving, retail media, real-time bidding, auctions and reconciliation. - Cloud:Google Cloud Platform, Kubernetes.   Profile & Requirements We are looking for a highly autonomous, systems-oriented backend engineer who is energised by a lean, high-quality environment and owns their surface completely. This role is not suited to someone who wants tickets handed to them inside a large team.  Essential Experience - 5+ years building backend systems in production, with real ownership of availability, latency and correctness under load. - Rust in production or a serious open-source project — or exceptional depth in another compiled systems language (Go, C++) with a demonstrated, immediate willingness to master Rust. - Hands-on experience with asynchronous services, service-to-service APIs, and message streaming . - Ad-tech domain experience (ad servers, DSP/SSP, real-time bidding, retail media) is a strong advantage; the ability to reason about money, auctions and reconciliation is expected. -Core Competencies & Mindset - AI Development Lifecycle: genuine proficiency editing and validating AI-produced code, and turning ambiguous goals into ultra-clear specifications an agent can execute without a meeting. - Uncompromising Quality:a maniacal focus on the non-functional requirements — performance, security, reliability, correctness. You are the last line before production. - Distributed & complex systems: knowledge of, and a taste for, distributed and complex systems is very welcome. Tell us about the ones you have built or operated — what made them hard, and what you took from them. - Written & Asynchronous: exceptional written communication. You operate effectively in a globally distributed, async environment (Paris timezone +/- 3h). - Ownership: you treat the domain you own as yours, documentation included, and you do not wait to be asked.

Location: San Francisco, CA | New York City, NY | 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 Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments. We're looking for experienced product managers and founders with technical depth: people who can learn the unique needs of a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. We're open to deeply technical product experts who are excited to support scientific discovery; expertise in a scientific field is not required, but the ability to ramp in a new domain quickly is paramount.You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research. Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. Key responsibilities Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape Prototype ideas yourself with Claude to validate them before committing engineering time Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings Drive enterprise readiness  — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it Minimum qualifications You might be a good fit if you: Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist Have a deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks Preferred qualifications 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms) Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations A track record of launching ambitious products that found distribution or commercial success Experience designing trusted-access or staged-rollout programs for sensitive capabilities A creative, hacker spirit and a love of solving hard puzzles 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: $305,000 — $385,000 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: Switzerland - Zurich FORWARD DEPLOYED ENGINEER, (F/M/X) SWITZERLAND - HYBRID THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Good level of English and a preference for fluent German or French - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. If this sounds like the kind of work you want to do, we should talk. Apply here. Everyone will receive a response. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Kampala; Uganda Workplace: OnSite ABOUT THE COMPANY Eleving Group is a publicly listed international fintech company founded in 2012. Today, we operate in 17 countries across 3 continents, providing consumer, vehicle, and smartphone financing. With more than 4300 employees worldwide, we are driven by innovation, growth, and a commitment to making financing accessible. Mogo's mission is to enable upward social mobility for people in diverse communities around the world by providing entrepreneurs who are excluded from traditional banking systems with access to credit. By combining asset financing, fintech, AI-based underwriting, and proprietary car portals, we enable these local entrepreneurs (motorcycle taxi riders, Uber/Bolt drivers, and small business owners) to find and purchase their own vehicles. ABOUT THE ROLE We are looking for a Project Manager to join our product team and own the day-to-day product operations in Uganda. You will be the on-the-ground point of contact for our Customer App and Sales App in the Ugandan market - coordinating feature rollouts, running testing, talking to customers, and driving ad-hoc product projects end-to-end. This role sits within the product team and works closely with the Product Owner based in Kenya. WHAT YOU WILL DO 1. Customer App - Uganda - Own the Customer App in the Ugandan market - act as the main point of contact between the product team and local stakeholders - Coordinate and manage the rollout of new features in Uganda, including planning, communication, and post-launch monitoring - Organise and run testing cycles for new releases - gather structured feedback from internal testers and real users before each rollout - Conduct customer interviews to understand how customers use the app, what is working, and what needs to be improved - Translate local market needs and customer insights into clear requirements for the product team - Track key app metrics in Uganda and flag issues or opportunities to the Product Owner 2. Sales App - Uganda - Own the Sales App in the Ugandan market - be the primary link between field agents, sales management, and the product team - Coordinate the rollout of new Sales App features with the local sales team, including training and adoption tracking - Run structured testing with sales agents before new versions go live, documenting issues and ensuring they are resolved - Conduct regular interviews and feedback sessions with field agents to surface usability problems and unmet needs - Monitor how the Sales App is being used in the field and identify where agents are struggling or working around the tool - Ensure that Uganda-specific process requirements are properly captured and fed into the product backlog 3. Ad-hoc Product Projects - Lead or support ad-hoc product projects relevant to the Ugandan market, such as integrations with local payment providers, risk or ID verification partners, or telecom operators - Manage project delivery end-to-end - define scope, coordinate stakeholders, track progress, and ensure timely completion - Work with external vendors and internal IT teams to align on requirements, timelines, and acceptance criteria - Document project outcomes and hand over operational processes to the relevant teams once a project goes live - Identify and escalate risks or blockers early, and keep the Product Owner informed of progress throughout WHAT YOU HAVE - Bachelor's Degree in Information Technology, Computer Science, Business Administration, Project Management, Marketing, Economics, Statistics, Telecommunications, or a related field. - Minimum of five (5) years' experience in Product Management, Business Analysis, Project Coordination, Telecommunications, Fintech, Digital Products, or a similar role. - Experience managing mobile applications, product rollouts, user testing (UAT), and stakeholder engagement. - Strong analytical, problem-solving, and project management skills. - Experience gathering customer feedback and translating business needs into product requirements. - Knowledge of Agile/Scrum methodologies is an added advantage. - Proficiency in Microsoft Office and project management tools such as Jira or Confluence. - Fluency in English and Swahili.

Location: Dar es Salaam; Tanzania Workplace: OnSite ABOUT THE COMPANY Eleving Group is a publicly listed international fintech company founded in 2012. Today, we operate in 17 countries across 3 continents, providing consumer, vehicle, and smartphone financing. With more than 4300 employees worldwide, we are driven by innovation, growth, and a commitment to making financing accessible. Mogo's mission is to enable upward social mobility for people in diverse communities around the world by providing entrepreneurs who are excluded from traditional banking systems with access to credit. By combining asset financing, fintech, AI-based underwriting, and proprietary car portals, we enable these local entrepreneurs (motorcycle taxi riders, Uber/Bolt drivers, and small business owners) to find and purchase their own vehicles. ABOUT THE ROLE We are looking for a Project Manager to join our product team and own the day-to-day product operations in Tanzania. You will be the on-the-ground point of contact for our Customer App and Sales App in the Tanzanian market - coordinating feature rollouts, running testing, talking to customers, and driving ad-hoc product projects end-to-end. This role sits within the product team and works closely with the Product Owner based in Kenya. WHAT YOU WILL DO 1. Customer App - Tanzania - Own the Customer App in the Tanzanian market - act as the main point of contact between the product team and local stakeholders - Coordinate and manage the rollout of new features in Tanzania, including planning, communication, and post-launch monitoring - Organise and run testing cycles for new releases - gather structured feedback from internal testers and real users before each rollout - Conduct customer interviews to understand how customers use the app, what is working, and what needs to be improved - Translate local market needs and customer insights into clear requirements for the product team - Track key app metrics in Tanzania and flag issues or opportunities to the Product Owner 2. Sales App - Tanzania - Own the Sales App in the Tanzanian market - be the primary link between field agents, sales management, and the product team - Coordinate the rollout of new Sales App features with the local sales team, including training and adoption tracking - Run structured testing with sales agents before new versions go live, documenting issues and ensuring they are resolved - Conduct regular interviews and feedback sessions with field agents to surface usability problems and unmet needs - Monitor how the Sales App is being used in the field and identify where agents are struggling or working around the tool - Ensure that Tanzania-specific process requirements are properly captured and fed into the product backlog 3. Ad-hoc Product Projects - Lead or support ad-hoc product projects relevant to the Tanzanian market, such as integrations with local payment providers, risk or ID verification partners, or telecom operators - Manage project delivery end-to-end - define scope, coordinate stakeholders, track progress, and ensure timely completion - Work with external vendors and internal IT teams to align on requirements, timelines, and acceptance criteria - Document project outcomes and hand over operational processes to the relevant teams once a project goes live - Identify and escalate risks or blockers early, and keep the Product Owner informed of progress throughout WHAT YOU HAVE - Bachelor's Degree in Information Technology, Computer Science, Business Administration, Project Management, Marketing, Economics, Statistics, Telecommunications, or a related field. - Minimum of five (5) years' experience in Product Management, Business Analysis, Project Coordination, Telecommunications, Fintech, Digital Products, or a similar role. - Experience managing mobile applications, product rollouts, user testing (UAT), and stakeholder engagement. - Strong analytical, problem-solving, and project management skills. - Experience gathering customer feedback and translating business needs into product requirements. - Knowledge of Agile/Scrum methodologies is an added advantage. - Proficiency in Microsoft Office and project management tools such as Jira or Confluence. - Fluency in English and Swahili.

Location: Riyadh, Saudi Arabia Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ YOUR MISSION We are building Alan's Care function in Saudi Arabia, and you will be the person who makes sure every member trusts Alan when they need us most. You'll build the function from zero: process, tooling, quality bar, then scale it, while handling the conversations that matter most yourself. Founding the function - Handle directly the member contacts that stay in-house: admin requests, escalations, complex cases. - Write the scripts, guidelines, and documentation that make Care work in Saudi from day one. - Shape the operating model on the ground together with the GM Saudi and the global Care community: opening hours, shift coverage, tooling setup (Intercom and others), and how traffic splits between in-house and externalized support. What success looks like: a documented, working Care operation that can pass regulatory scrutiny and handle real member conversations from launch. Owning quality on externalized support - Own the quality bar for everything we externalize: review calls and tickets in Arabic, coach our outsourcing partner's agents, and close the loop between what members experience and what we improve. What success looks like: externalized conversations meet Alan's quality bar, and gaps get caught and fixed before they become member complaints. Owning regulatory accountability - Own the complaint-handling policy and the regulatory SLAs on complaints. - Prepare the documentation and readiness for the Insurance Authority inspection. What success looks like: Alan passes Insurance Authority inspection with a clear, accountable answer on every complaint-handling question asked. You won't be building this alone. You'll have the full support of Alan's global Care Ops team on process design, tooling, forecasting, and planning, the same team behind our Care launches in France, Belgium, and Canada. You bring the on-the-ground execution and Arabic-language expertise; they bring the playbooks and cross-market experience. 👀 WHO WE ARE LOOKING FOR - You are a founding operator. You've built an operational function from scratch before, or you're ready to do it for the first time with real ownership. - You are hands-on in ambiguity. You're happy to answer tickets yourself on day one while designing the system in parallel. Some decisions on coverage model and tooling are still being finalized, and you'll help make them. - You are AI-first. You're excited to work on automation and tooling, not just process. - You lead with ownership and directness. You hold an outsourcing partner accountable to a quality bar without hesitation. - You are genuinely energized by great customer experience. When a member is frustrated, you don't just close the ticket, you make sure they walk away feeling cared for. - You understand the member's stakes. Ideally, you've seen pre-authorization, claims, or member frustration points up close, in health insurance, health services, or a comparable regulated environment. ⭐️ REQUIREMENTS FOR THE ROLE Must-haves - Saudi national. - Fluent in Arabic and English, spoken and written. Both are mandatory: Arabic for the QA work on Arabic-language conversations, English for collaboration with the global Care community and cross-functional teams. - Comfortable operating with significant ambiguity: building the system and doing the work at the same time. - Strong ownership and directness, including holding an external partner accountable to a quality bar. - Genuine interest in AI-first tooling and automation. Nice-to-haves - Health insurance, health services, or financial services background; understanding of pre-authorization, claims, and member frustration points in Saudi Arabia. - Experience building or scaling an operational/support function from scratch. - Familiarity with the Saudi regulatory environment (Insurance Authority requirements). Level target: B1-C1 on Alan's level grid. ⭐ WHAT WE OFFER - A world-class team to lean on: you won't be alone. You'll have the full support of Alan's global Care Ops team, and the full team's playbooks from launching Care in France, Belgium, and Canada. - Real ownership and impact from day one, on a function you build yourself. - As the team scales, this role has the potential to grow into leading a local team.

Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom; Brazil Workplace: fully About Replika In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone. Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for. When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives. Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it. We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself. Everyone else is building AI that thinks. We're building AI that cares. Software Engineer (Senior, Staff) About the role We need a senior engineer to join the small group that works directly with our CEO, Dmytro Klochko. What you build goes out to tens of millions of people, and it goes out in weeks. This isn't a big company role. There's no org to slot into, no process to learn, and no layer between you and the decision. You'll work directly with Dmytro and a tiny team to turn ideas into product, often while the idea itself is still taking shape. You'll be expected to have an opinion, challenge assumptions, figure out what matters, and then build it. Most of the time that means moving fast, but not always. When a problem deserves real thought, you slow down and think it through, and nobody's chasing you for a status update while you do. You'll own real surfaces of the product, not slices of someone else's roadmap. You'll need product fluency, not just engineering chops. You'll get PRDs and you should push back on them, weighing what a change actually costs against what it buys. That means caring about the end result and the user experience more than technical purity. Rough is fine early on. It's not fine as a final product. We care more about how you operate than where you've worked, so big tech pedigree isn't required and isn't the goal. What You’ll Be Doing Own features end to end, from the idea to the thing users actually touch. Work directly with Dmytro on what gets built and why. Turn ambiguous ideas into something concrete without waiting for every question to be answered first. Push back on PRDs that don't hold up, and make the case for the version that does. Talk to people. Unblock people. Nobody here works in a silo. Bring new tools into the work instead of finding reasons not to. What We’re Looking For You've built and shipped consumer products that reached real users. A track record of driving complex features end to end, not just incremental improvements and refactors. Previous founding or early startup experience. You love coding and agentic engineering to move faster and you use all tools available to get the job done. Design intuition and taste. You can tell when something feels wrong before anyone tells you. You think from first principles, not from how it's usually done. You're focused on the feature that ships, not on being techy for the sake of it. Fluent English. You can write a spec, or argue against one, without it needing a rewrite. Good vibes, low maintenance. You take something and run with it. Bonus Points You've been a founding engineer, or early enough somewhere that you’ve built things from zero. You've worked without a spec before and it didn't slow you down. You've shipped consumer products where a lot of people felt the difference. What You’ll Get Competitive compensation. Flexible job schedule and generous vacation policy. Unlimited access to the latest AI coding assistants. No corporate bs. Direct impact on millions of users worldwide within months. Push the boundaries of applied AI in a consumer setting. Fully remote. Open to other timezones, flexible.

Location: NZ: Wellington: Xero One (19-23 Taranaki St); AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St) Workplace: Hybrid The role / impact This is a rare chance to shape how an entire technology organization works in the AI era. Rather than shipping another standalone AI feature, you'll build the shared platforms and operating models that make AI-native delivery possible across Xero, spanning AI harnesses that help teams build faster with the right guard rails, gateways that makes using models safe and efficient, and agents that help reduce toil. You'll drive initiatives spanning across the full delivery lifecycle, combining strategy, execution and measurable organizational impact. You'll drive decision-making across products and teams, connect work happening in different phases of development, and train and coach others to build strong AI product practice. In line with our value to Go Bold, you'll set goals that stretch the team and help rethink, and not just solve, the problems in front of you. The team / how they connect This group shapes how products connect to Xero's wider AI strategy and objectives, and looks after the tools and ways of working that help thousands of Xeros deliver value. You'll build close relationships with Engineering, Security, Data and several other teams, keeping decisions joined up across the business. The team is currently working on / Initially, you will focus on - Building and scaling the shared capabilities behind Xero's AI-native delivery model. - Aligning stakeholders on strategy and priorities, and setting baselines for adoption, delivery speed, cost, quality and technology health. - Publishing quarterly roadmaps, operating model and governance approach for the initiatives. - Moving the highest-value workflows from pilot into repeatable adoption Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we are looking for, for this role - You bring strong platform product management experience, ideally across developer tools, infrastructure, data or AI. - You think in systems, comfortably joining the dots across various phases and teams. - Translating complex technical possibilities into clear outcomes and investment decisions comes naturally to you. - Your approach to discovery, delivery and measurement is outcome-focused, and you know how to prove what's working. - Ambiguity, evolving technology and incomplete information don't throw you off course. - Curiosity and pragmatism sit alongside the resilience to turn early experiments into scalable products. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Indonesia The Company Our client is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, they are able to provide students with the resources and guidance they need to succeed. Their global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, their Insendi platform enables them to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available. The Role Our client looking for an experienced Senior Account Manager to manage and grow their portfolio of education-agent partners across Indonesia. This is a commercially focused B2B/channel account management role, with the primary objective of strengthening existing agent relationships, increasing student recruitment and identifying opportunities to grow our client's presence in the Indonesian market. You will act as a key commercial partner to education agents, positioning our client's portfolio as a provider of choice for international higher education programmes. The role is approximately 60–70% account management and partner development ("farming") and 30–40% new business development ("hunting"), making this an ideal opportunity for someone who enjoys both nurturing strategic relationships and developing new commercial opportunities. You will work independently as part of a wider Southeast Asia team and report to the Associate Recruitment Director, Southeast Asia. Key Responsibilities Account Management & Partner Development Own and develop a portfolio of education-agent partners across Indonesia, including both strategic/master agents and smaller boutique agencies. Build strong, long-term relationships with key decision-makers and act as a trusted commercial partner. Develop and execute account plans to grow student recruitment and partner performance. Identify opportunities to increase the productivity, engagement and contribution of existing partners. Monitor partner performance, identify risks and implement appropriate actions to maintain and grow accounts. Ensure partners understand and adhere to relevant processes, service-level expectations and our client's requirements. Provide high-quality product, process and sales training to agent partners. Business Development & Sales Identify, approach and onboard new education-agent partners across Indonesia. Manage the sales pipeline from lead generation through to conversion and activation. Build and maintain a strong network of prospective and existing agents. Achieve agreed student recruitment and revenue/value targets. Identify market trends, customer needs and emerging opportunities to support student recruitment growth. Work closely with product sales and marketing teams to develop and execute effective market strategies. Represent our client and its brands at exhibitions, recruitment fairs, agent events and other industry activities. Market & Competitor Intelligence Monitor competitor activity and developments within the international education market. Share insights on market trends, competitor positioning and agent/customer behaviour. Identify opportunities and risks within the Indonesian market and provide recommendations to the wider team. Requirements Our client is looking for a commercially driven relationship builder with strong experience in the international education sector and a proven track record of managing education-agent networks. You will ideally have: 6+ years of relevant professional experience , preferably in account management, B2B sales, channel sales, business development or partner management. Strong, hands-on experience managing a substantial portfolio of education agents , ideally 20+ active partners or a portfolio of major/master agents with multiple branches. Proven experience developing and maintaining relationships with Indonesian education agents. A strong understanding of the international student recruitment ecosystem and education-agent model . Experience managing both strategic/key accounts and smaller partner agencies. A demonstrable track record of achieving commercial or student recruitment targets. Strong business development skills, including lead generation, cold calling and new-agent acquisition. A consultative, customer-focused approach to relationship and account management. Strong commercial awareness and the ability to identify partner growth opportunities and manage account risks. Excellent communication and presentation skills, with strong written and spoken English . Strong organisational skills, attention to detail and the ability to manage multiple priorities independently. Willingness and ability to travel regularly across Indonesia to meet agents and attend recruitment and industry events.

Location: Philippines WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Malta WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Philippines THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: North America, EU, UK AI Security Researcher / Research Engineer Remote or hybrid - London preferred but North America, EU, UK accepted About Brave: Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent (https://brave.com/blog/ai-browsing/) and chatbot, and help set Brave's direction on how we identify, measure, and reduce security risk across AI products. Responsibilities Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration) Analyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models Develop and prototype security-focused training and fine-tuning techniques Augment web agents with security principles including information flow control, privilege control and contextual security Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements Help define a forward-looking security strategy and policy for building and responsibly releasing web agents—advocating for user protection You may be a good fit if you have Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails) Strong publication record in AI security, ML security, or closely related areas A track record of shipping products and features inside a fast-moving environment Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX Experience training, fine-tuning, and evaluating large language models Deep familiarity with large language models and web agents, how they work, and how they are trained Experience applying security principles (e.g., information flow control, access control/least privilege) Demonstrated success in bringing clarity and ownership to ambiguous technical problems A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience Skills That Will Set You Apart from the Competition Knowledge of AI Systems (pipelines, security evaluation, etc.) Open source projects on security/privacy Experience with confidential computing and ZKP/SMPC protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance, or ML Work experience in industry is desirable Working at Brave - What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.

Location: 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 We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards 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: $270,000 — $315,000 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: San Francisco; New York City ABOUT THE ROLE The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability. We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful. As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products. RESPONSIBILITIES - Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI. - Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work. - Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling. - Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context. - Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely. - Improve delivery speed and software quality together. Measure the impact of your work on development time, review effort, and production reliability, and use those results to guide what comes next. - Evaluate emerging models, tools, and approaches through hands-on experimentation. Turn the evidence into clear technical decisions, and drive adoption of the technologies that prove useful. - Use AI extensively in your own engineering work, share what works, and help colleagues adopt effective practices. Partner with engineering leadership and recruiting to strengthen how we hire and develop engineers who work effectively with AI. QUALIFICATIONS - 5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments. - Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output. - Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires. - Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling. You don’t need deep expertise in every layer, but you should understand how they fit together. - An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams. You build tools around users’ actual workflows and constraints. - A drive to make codebases, systems, and processes easier to understand, operate, and change. You look for ways to replace brittle workflows and implicit knowledge with clear interfaces and reliable automation. - Sound technical judgment about when to experiment, when to commit, and when to ship a pragmatic solution. You can balance immediate delivery with investments that make future work faster and more reliable.

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE We’re hiring a Growth Lead, Performance to build and scale the acquisition engine that powers Avoca’s next stage of growth. Your initial focus will be building and scaling our paid acquisition channels, starting with paid social and paid search, into meaningful sources of qualified pipeline. You’ll own these channels end to end: from strategy and execution to creative testing, conversion, measurement, and optimization. But your mandate won’t stop at paid acquisition. We’re looking for a growth builder with broad demand generation instincts who can identify new opportunities, build channels from scratch, and turn what works into repeatable engines. You’re equally comfortable setting strategy and getting into the details of a campaign, creative concept, landing page, or experiment. The scope is wide and the whitespace is real. We’re looking for a smart, high-agency person who builds their own leverage. You’ll report directly to the Head of Growth and work on the company’s highest-priority channels and growth bets. WHAT YOU'LL DO - Build and scale paid social and paid search into major revenue drivers for our business - Own paid acquisition end to end, including strategy, execution, budget allocation, creative testing, conversion, measurement, and optimization - Build a high-velocity experimentation engine across audiences, messaging, creative, offers, and landing pages - Translate customer insights and performance data into campaigns that resonate with home services operators and drive qualified pipeline - Set performance targets and allocate investment based on pipeline, CAC, channel efficiency, and revenue - Partner closely with Sales, RevOps, Product Marketing to ensure a tight feedback loop on ICPs, lead quality, SLAs and pipeline handoff process - Use AI and automation to increase the speed and quality of campaign development, analysis, and experimentation - Identify, test, and scale growth channels beyond paid acquisition, turning the most promising opportunities into repeatable growth engines WHAT YOU’LL BRING - 5+ years of experience in performance marketing, growth marketing, or demand generation, ideally at a fast-growing B2B technology company - A strong track record of personally building and scaling paid social programs, with deep expertise in Meta - Strong paid search experience and fluency across the acquisition funnel, from media and creative through conversion and measurement - Experience owning meaningful budgets and making investment decisions based on pipeline quality, marginal efficiency, and growth potential - A history of managing toward qualified pipeline and revenue, not just leads, clicks, or platform-reported conversions - Strong analytical and creative instincts, with the ability to turn customer insight and performance data into clear hypotheses and compelling campaigns - Broad growth experience and the ability to build, test, and scale channels beyond paid media - Fluency with AI tools and a bias toward using automation to increase your output and learning velocity WHO YOU ARE - You’re a builder who wants to own both the work and the outcome, from setting the strategy to launching and optimizing the campaign - You have deep performance marketing expertise, but you don’t define yourself solely by paid media — you’re energized by finding and building whatever channel can move the number - You think in terms of qualified pipeline, CAC, and revenue while caring deeply about the details that drive them - You combine analytical rigor with strong creative judgment and understand that the message and offer matter as much as the media plan - You move quickly, run disciplined experiments, and make clear decisions even when the data is imperfect - You create clarity in ambiguous situations and don’t need an established playbook, a large team, or perfect information to make progress - You’re curious, resourceful, and willing to roll up your sleeves — no task is too small when it helps move the company forward - You want to work in person in NYC with an ambitious team that moves quickly and holds a high bar BONUS POINTS - Experience marketing to mid-market buyers in a high-velocity sales motion - Experience in vertical SaaS or home services - A track record of building new growth channels from zero and scaling into meaningful sources of pipeline BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected on target earnings for this role is $160,000–$210,000, with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.