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Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Security at ClickUp Security at ClickUp is engineering-focused. We partner with teams across the company to protect our platform, our internal systems and our customers through secure design, defensive controls, detection and response. We build tooling and automation, including AI-powered workflows, to turn what we learn into lasting improvements.   About the team Application Security at ClickUp investigates threats, platform abuse and security incidents affecting our product and internal systems. We turn investigation findings into response tooling, automation and stronger product defenses, partnering with engineering and product teams to prevent repeat issues. This is an engineering-first team that uses AI tools and agentic workflows to improve how we investigate and respond.   You will support this mission by thinking like a developer, breaking down a problem that we face, testing a method to approach it with automation, and implementing solutions that yield compounding value. Your skills to uncover threat indicators will be the foundation of this work.   The role - Digital forensics and incident response. Investigate threats affecting the ClickUp platform and internal systems, collect and analyze relevant evidence, and establish what happened and its impact. Lead investigations through findings, response and root cause, working with the owning teams to follow remediation through to completion. - Platform abuse investigations. Identify and respond to abuse of the ClickUp platform. Uncover threat indicators and recurring patterns, develop actionable threat intelligence, and use the findings to improve detection and prevent repeat abuse. - Agentic security tooling. Build and improve AI-assisted and agentic workflows for incident response, digital forensics and ongoing audits. Automate repeatable investigation work, validate outputs against evidence, and keep human review and appropriate access controls around consequential actions. - Product defenses and security controls. Design, develop and deploy controls that protect our product and internal systems. Turn investigation findings into software changes, response tooling and automated checks that address the underlying issue rather than just the individual incident. - Engineering partnership. Work directly with engineering, product, data and operations teams as a security player-coach. Explain observed threats with clear evidence, help teams design practical defenses, and mentor others so the improvements last beyond a single investigation. Qualifications - Multiple years of experience in technology or software development, including building and maintaining tooling or automation that solves operational problems. - Practical experience using AI-assisted development or agentic workflows for engineering or security work, with an ability to validate their output and recognize when human review is needed. - Experience investigating security threats or platform abuse: analyzing logs and other evidence, identifying threat indicators, and explaining findings and impact. - Ability to translate a security finding into a practical software design change, response improvement or automated control. - Experience working with cloud or SaaS systems, including using their application, identity or audit data to investigate suspicious activity. - Clear written communication: findings and recommendations that another team can act on, supported by evidence. - Ability to build relationships and mentor others on technical topics, including security. Desirable - Experience using AI agents in a SOC or other incident response workflows. - Understanding of agent security risks, including the confused deputy problem and the lethal trifecta. - You can facilitate a conversation rather than dictate it. - 3+ years of software development experience and 1+ year of security-specific experience. - Experience with security tools such as SAST, DAST, RASP, dependency checkers and SIEM. - 1 year of AWS experience, including IAM and least-privilege architectures.   Our stack Cloud and SaaS environments, software development and security automation, AI-assisted and agentic workflows, and security investigation tooling.   If you are a software engineer who is only starting to learn security, please do apply! Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: San Francisco, CA Workplace: OnSite ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are seeking a hands-on engineering leader to own our device-native technology organization. You will be responsible for leading both the Device SDK and Mobile Engineering teams, overseeing the development of our native SDKs, spatial computing runtimes, and flagship mobile applications. This is a hybrid leadership role that combines people management, technical leadership, architecture, and hands-on engineering. You must be equally comfortable mentoring engineers, defining technical strategy, reviewing architecture, and contributing production code. You will bring deep experience with the latest AI technologies, work streams, and best practices, and demonstrate forward thinking about integrating AI into the SDLC. Reporting to the Head of Product and Platform Engineering, you will serve as a key technical partner in shaping the future of Niantic Spatial’s device-native ecosystem. You will play a key role in defining technical direction, execution strategy, and platform investments across mobile, XR, robotics, and emerging edge-computing environments. TEAMS YOU’LL LEAD Platform SDK - Builds and operates the native technology stack that brings Niantic Spatial’s capabilities to devices, including: - Native runtime architecture and SDK development - Computer vision and spatial computing integrations - Sensor fusion and device-side processing - Platform abstraction and cross-platform architecture - Hardware acceleration and performance optimization - Native platform integrations for mobile, XR, robotics, and edge devices - Build systems, release automation, and test infrastructure Mobile Applications - Builds flagship iOS and Android applications that showcase the full potential of Niantic Spatial’s technology, including: - Customer-facing mobile products and sample applications - Platform capability validation and feedback - Best-practice SDK implementations - Mobile application architecture - User experience and performance optimization - Application release and lifecycle management WHAT YOU’LL DO TECHNICAL LEADERSHIP - Define and drive the technical vision for Niantic Spatial’s device-native ecosystem. - Define cutting edge AI-native development flows and guide the team to embrace best practices for agentic development - Establish architecture, engineering standards, and development practices across both teams. - Guide platform investments that improve developer experience, portability, performance, and scalability. - Partner closely with Research, Platform, and Product leadership to translate emerging capabilities into production-ready products and SDKs. - Participate directly in architecture reviews, technical design discussions, and critical implementation efforts. - Work with Platform to align architecture patterns to ensure a cohesive product ecosystem across all surface areas - Balance long-term platform investments with near-term product commitments. - Ensure predictable delivery, high quality, and operational excellence across all device-native products and platforms. HANDS-ON ENGINEERING - Contribute production code on a regular basis. - Review code, mentor engineers, and actively participate in technical problem solving. - Support implementation of complex features spanning mobile applications, SDKs, native runtimes, and platform integrations. - Assist teams with debugging, performance analysis, and system optimization. - Maintain familiarity with day-to-day development workflows and remain actively engaged in execution. PEOPLE LEADERSHIP - Directly manage the leads and engineers within the Device SDK and Mobile Engineering teams. - Recruit, mentor, and retain high-performing engineers. - Support career growth, performance management, and technical development across both teams. - Foster a culture of engineering excellence, ownership, collaboration, and continuous improvement. WHAT YOU’LL BRING - 10+ years of software engineering experience, including significant experience building and shipping native applications or SDKs. - 5+ years of engineering leadership experience managing teams and technical leads. - Expert-level proficiency in native software development for iOS (Swift) and Android (Kotlin). - Strong understanding of software architecture, performance optimization, and cross-platform development. - Experience leading engineers through complex technical initiatives while remaining hands-on. - Excellent communication and cross-functional collaboration skills. - Eligibility to obtain and maintain a U.S. Government security clearance; U.S. citizenship is required due to security clearance eligibility requirements. - Great at building and maintaining customer relationships, with occasional travel to client locations NICE TO HAVE - Experience with in-app telemetry capture, analytics, and building business intelligence data streams that enable informed cross-functional decision making. - Experience supporting government or defense customers, including familiarity with FedRAMP, GovCloud, secure deployment environments, compliance documentation, and the operational expectations of regulated customer engagements. COMPENSATION & BENEFITS The expected salary range for this role is $238,500 to $310,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. LOCATION & WORK MODEL This role is based at our San Francisco, CA headquarters, with four days per week in office. There might be occasional travel to customer sites, partner organizations, and engineering off-sites. INCLUSIVE APPLICATION We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Dublin, IE 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. Finance Systems Lead, International About the role We are seeking a Finance Systems Lead to join our Finance Systems team at Anthropic, based in our Dublin office. Dublin is our main international finance hub, and in this role you will lead finance systems for our international entities, partnering closely with the US-based leads and product owners for accounting, revenue, tax, and treasury and strongly influencing the approach. You will find what local teams need, shape international priorities, and bring clear recommendations to those partners, while leading the people who build and support these solutions and keeping a single, consistent global platform. This is a critical role that will directly shape how Anthropic's finance organization operates as we expand internationally and scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with local Finance and Accounting teams, implementation partners, engineering teams, and the wider Finance Systems team to build a world-class financial systems foundation across our global footprint. In this role, you will: International Finance Systems Leadership: Lead the international finance systems agenda for the Dublin finance hub and other international teams (including EMEA and APAC), finding the problems worth solving without waiting to be asked and partnering closely with the product owners for each finance area, with strong influence on the approach. Vision, Strategy & Roadmap: Shape the international vision and strategy with business owners and US product owners, map process maturity, and turn goals into a rank-ordered international roadmap that aligns with each domain's roadmap. Business Partnership: Build trusted relationships with local finance, accounting, tax, and treasury leaders, and work closely with the US-based leads and product owners to agree the approach. Systems Design: Shape international design decisions with the relevant product owners, build for patterns rather than one-off scenarios, and align with global owners on anything that changes the shared platform. Delivery Across the Landscape: Drive delivery of international priorities with the relevant product owners, including multi-book and secondary ledgers, statutory reporting, intercompany, assets and leases, and local requirements such as VAT, e-invoicing mandates, and international payment formats (e.g. SEPA / ISO 20022). Leading Through Others: Lead business systems analysts, contractors, and implementation partners across time zones, coaching them and reviewing their designs and configuration. Operational Health: Make sure international users are supported through month end and quarter end close, with clear ownership of issues and of work handed over from the US time zone. Scaling & Automation: Plan how our systems scale as we enter new countries, identifying opportunities for process improvement and automation, including with AI tooling. Minimum Requirements Have 10+ years of experience in finance systems, ERP implementation, or finance transformation, with at least 3 years as the accountable lead for a program or region Have led a multi-country ERP or finance systems program from requirements through go-live and into operation, as the owner rather than a workstream member Have worked in multi-entity, multi-currency, and multi-GAAP environments, including statutory reporting Have working depth across at least three of Record to Report, order to cash and revenue, Procure to Pay, tax, and treasury Possess a strong understanding of financial accounting under US GAAP and IFRS, including general ledger, consolidation, intercompany, and local statutory reporting Have strong systems design judgment: you build for patterns, know what good architecture looks like, and can read and challenge configuration Find the work yourself: you have started programs nobody assigned, set a roadmap with little direction, and brought clear options to senior finance leaders Have led business systems analysts, consultants, and implementation partners across time zones, and partner well with controllers and with tax and treasury leaders Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines Preferred Requirements Deep Workday Financials experience (comparable depth in Oracle Cloud or SAP S/4HANA is also welcome) Product practice such as PRDs, goals and success criteria, and rank-ordered roadmaps An accounting qualification (e.g. ACA, ACCA, CIMA, or CPA) Experience with Workday Business Assets and lease accounting under IFRS 16 / ASC 842 Experience with Workday Accounting Center or Prism Analytics for journal automation and subledger accounting Experience with VAT, e-invoicing mandates, or international payment formats and banking integrations (e.g. SEPA, ISO 20022) Experience supporting Workday Procure to Pay functional areas, including Procurement, Supplier Accounts, and Banking and Settlement Knowledge of SOX compliance requirements and internal controls for financial systems, including multi-country environments Experience supporting entity setup or expansion into new countries Technical proficiency with SQL, Python, or Workday reporting tools for data analysis and integration support Big 4 or Workday partner implementation experience, or prior experience at high-growth technology companies scaling toward IPO readiness 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: €195.000 — €230.000 EUR 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.

- Develop and maintain the API for a customer-facing financial data collection product. - Manage AI agents (Claude Code, Codex): write prompts, review agent output, keep instructions up to date.

Location: New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This internship will take place from May 24 - August 13 or June 14 - September 3 (based on your summer schedule) and you will need to be able to work out of our NY office during this time. ABOUT THE ROLE The Web Infrastructure team’s mission is to own the foundation of Notion’s web-based clients and to empower engineers to build performant, scalable, and accessible product experiences within them. IN THIS ROLE, YOU COULD: - Build and optimize common web patterns that front-end engineers can use to create features - Build tooling that allows engineers to test, debug, and profile front-end features - Build desktop infrastructure that is scalable and has deep OS integrations. QUALIFICATIONS: - Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028. - Working toward proficiency in React / TypeScript - Previous internship experience. - You find large challenges exciting and enjoy discovering problems as much as solving them. - You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment. This internship will take place from May 24 - August 13 or June 14 - September 3 (based on your summer schedule) and you will need to be able to work out of our NY office during this time. SKILLS YOU’LL NEED TO BRING: - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. - Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. - Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. - Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. - AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more. NICE TO HAVES: - You have expertise with specific technologies that are part of our stack, including TypeScript and React. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. - You have interests outside of technology, such as in art, history, or social sciences. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re looking for a Global Head of GTM Enablement to build and scale the programs, systems, and habits that help our GTM teams perform. As product delivery accelerates and our portfolio and sales motions grow more complex, you’ll ensure the field keeps pace—turning new capabilities into effective execution without adding unnecessary overhead. You’ll lead a distributed enablement team and partner with leaders across Sales, Marketing, Product, Customer Engineering, Deployed Engineering, and Revenue Operations. You’ll balance global standards with role and regional needs so priorities translate across regions and roles. Success means faster ramp, stronger field execution, and measurable contributions to pipeline and revenue—not simply more training. You’ll own the strategy and orchestration behind AI in the field: one consistent, continuously current body of GTM knowledge that the tools other teams build can rely on, so delivery, effectiveness, measurement, and scaling all improve as the field grows. You’ll be equally deliberate about where humans remain essential: the conversations and strategic direction that enabling GTM at large requires. WHAT YOU’LL DO SET THE GLOBAL ENABLEMENT STRATEGY - Define and execute a GTM enablement strategy aligned with revenue growth, customer expansion, and market priorities. - Partner with executive and regional leaders to identify capability gaps and execution bottlenecks, directing investment toward the highest-impact opportunities. - Own enablement planning, budget, governance, and operating cadence, with clear priorities, ownership, and success measures across onboarding, technical and product enablement, and outbound enablement. - Decide where AI changes the enablement model and where human-led work stays, and set the standard the rest of GTM builds against. BUILD PROGRAMS THAT IMPROVE FIELD PERFORMANCE - Develop role-based enablement for Account Executives, Account Managers, Sales and Business Development Representatives, Partner/Channel Managers, Customer Engineering, and Deployed Engineering. - Tailor programs by segment, industry, and geography where it improves execution, preparing teams to support multiple use cases, buyer types, and platform opportunities. - Design and scale role-based 30/60/90-day onboarding that accelerates time to productivity and, for sellers, time to first deal. - Establish continuous learning, coaching, and certification programs that reinforce skills beyond onboarding. - Embed enterprise sales methodologies into day-to-day workflows, deal reviews, and pipeline inspections. - Equip frontline managers to reinforce skills, inspect execution, and coach consistently—making enablement part of how teams operate, not a separate training activity. - Structure programs so the knowledge behind them can be reused by AI-assisted practice, reinforcement, and certification, extending reach without proportional headcount. - Keep human coaching where it changes behavior, so scalable programs extend reach without replacing the conversations that build skill. TURN PRODUCT KNOWLEDGE INTO CUSTOMER VALUE - Partner with Product Management and Product Marketing to deliver timely, role-specific training and certification as new capabilities launch. - Own the internal training, practice, and reinforcement behind customer-facing messaging and assets, so GTM teams apply them effectively. - Turn product and market expertise into practical playbooks, competitive guidance, demo guides, and value-selling resources that are current, easy to find, and useful in customer conversations. - Own which assets are canonical, so every team and tool works from the same version as products and markets change. - Turn patterns from customer conversations, deal outcomes, and field feedback into updates to that knowledge, so what the field and its tools know keeps improving. LEAD AND SCALE A GLOBAL TEAM - Build, coach, and develop a high-performing team of enablement professionals supporting team members across the Americas, EMEA and APAC. - Establish clear decision rights and collaboration practices across global and regional teams, balancing consistency with local market needs and competitive dynamics. - Hire and develop for knowledge architecture and program strategy, not just content production, so the function can run without depending on you. SET THE SYSTEMS VISION AND OWN MEASUREMENT - Set the enablement technology vision across learning, content management, and conversation intelligence, and work with GTM Systems and GTM Engineering to execute it, including embedding enablement into workflows. - Define what canonical GTM content exists, who maintains it, and how it stays current, so the tools GTM Systems and GTM Engineering build operate from one source instead of diverging copies. - Lead the orchestration across GTM Systems, GTM Engineering, Product Marketing, and Revenue Operations, setting requirements for how their tools consume, refresh, and contribute back to that knowledge so quality compounds rather than drifts. - Build measurement frameworks and executive reporting that connect enablement investments to skill application, behavior change, pipeline, and revenue outcomes across roles and regions. - Use performance data, manager input, and field feedback to continuously improve programs and prioritize resources. WHAT YOU’LL BRING - 10+ years of relevant experience in GTM enablement within high-growth B2B SaaS organizations, including significant leadership experience. - A demonstrated track record of building and scaling global enablement teams and programs across multiple regions. - Experience supporting complex enterprise sales motions for technical products, enabling multiple GTM roles across use cases, buyer types, and the full buyer and customer lifecycle. - Practical AI fluency, with the judgment to lead strategy and orchestration rather than build tools yourself: what AI can carry, what the knowledge behind it must look like, and where human judgment stays in the loop. - Experience standing up or governing a shared knowledge or content system that multiple teams and tools depend on. - Deep expertise in enterprise sales methodologies such as MEDDPICC, Command of the Message, Challenger, or Value Selling—and a practical approach to embedding them into field execution. - Proven success designing onboarding, ongoing learning, product enablement, and manager coaching programs. - Experience partnering with systems and engineering teams to deliver enablement technology, with enough fluency to set requirements without owning the platforms yourself. - Strong analytical skills, with the ability to evaluate program effectiveness and communicate business impact to executive stakeholders. - Exceptional communication, storytelling, and cross-functional influence skills. - Credibility with field leaders and sellers, and the judgment to know when a conversation or coaching moment will move behavior more than a scalable program. - A builder’s mindset: the ability to define strategy, systems, and standards while staying close to execution in a fast-moving environment. - Bonus: experience leading or enabling customer-facing technical teams, such as Customer Engineering, Deployed Engineering, or Solutions Engineering, alongside a revenue organization. HOW WE’LL MEASURE SUCCESS - Shorter time to full productivity across GTM roles and faster time to first deal for sellers. - Measurable contributions to improved win rates, average contract value, and pipeline velocity. - Consistent application of core sales methodologies, reinforced through frontline manager coaching and deal execution. - Demonstrated skill development and sustained behavior change—not just participation in training or adoption of tools. - Field readiness that keeps pace with product delivery and growing business complexity, with teams prepared to execute on new capabilities, use cases, and sales motions as they launch. - AI tools across GTM operating from one current knowledge base, with less rework, drift, and duplicated content, and less administrative work in delivery. - Broader enablement coverage at a lower cost per program, showing the field reached more often without proportional headcount. - Coaching quality as rated by managers and sellers, not just coaching activity. - Improved field and manager satisfaction with enablement, alongside positive trends in GTM team retention. Salary: $225,000-$255,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Step in as a foundational trailblazer redefining how Docebo partners with its most ambitious enterprise customers. You won’t just be answering questions, you’ll be the platform authority paired with Customer Account Executives to design, build, and deploy high-impact solutions directly in live environments. This is your chance to write the playbook from the ground up, harness next-generation AI workflows, and turn complex customer challenges into pure platform magic. ⚡ THE DAY-TO-DAY - Lead the Charge: Serve as the go-to platform authority and trusted expert, stepping into high-stakes customer scenarios to run deep discovery, architect creative answers, and build live configurations that solve problems no one else can. - Architect the Future: Own scoped customer projects end-to-end, translating complex business objectives into measurable platform value, increased adoption, and long-term business outcomes. - Supercharge with AI: Build, tune, and deploy custom AI agents, shape intelligent Enterprise Knowledge collections, and craft AI workflows tailored to how our customers actually work. - Bring Ideas to Life: Deliver compelling, context-rich product demonstrations that showcase the art of the possible and partner closely with CAEs to drive organic platform upsells. - Empower for the Long Haul: Provide world-class documentation, clear architectural rationale, and thoughtful enablement so customer admins feel fully confident running their environments long after launch. - Write the Playbook: Partner directly with Product, Engineering, Solutions Architecture, and Professional Services to channel valuable field feedback and establish reusable implementation patterns for the entire team. 🌟 YOUR SUPERPOWERS - Deep Industry Craft: 4+ years of customer-facing SaaS experience in Solutions Consulting, Professional Services, Implementation, or LMS Administration with hands-on platform configuration expertise. - Relentless Curiosity & Problem-Solving: A natural instinct to ask the deeper questions, bypass surface-level requests to uncover root business needs, and craft practical, high-value workarounds when others hit a wall. - Technical Fluency: A solid working knowledge of foundational web and enterprise technologies—including HRIS/CRM ecosystems, basic APIs, iPaaS, HTML, and CSS. - Magnetic Storytelling: Polished demo chops with the ability to bridge the gap between technical nuance and executive business value for diverse stakeholder audiences. - Data & Project Acumen: Sharp scoping, prioritization, and analytical instincts to turn raw platform usage data into actionable customer recommendations while effortlessly juggling multiple accounts. - Pioneer Mindset: High comfort with ambiguity, strong emotional intelligence to navigate complex org dynamics, and genuine excitement for building an operating model from scratch. ✨ BONUS POINTS - EdTech & Learning Expertise: Deep domain knowledge in learning technology (SCORM, xAPI, content models, or corporate L&D/HR Tech ecosystems). - AI Builder Experience: Practical, hands-on experience building custom AI agents, structuring knowledge collections, or orchestrating automated AI workflows. - Global Perspective: Proven track record supporting multi-region enterprise customers across varied time zones, or working proficiency in additional languages. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote, Japan Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re seeking a Technical Account Manager (TAM) to be the primary technical partner for our Team & customers after the sale, helping them adopt, operate, and get long-term value from Supabase. At Supabase, TAMs are the technical owners of their assigned accounts, working closely with our most valuable customers to: - Understand each customer’s architecture, use cases, constraints, and goals. - Validate deployments and guide customers through onboarding and early success. - Proactively surface risks and optimization opportunities before they become incidents. - Coordinate internal teams on complex escalations and drive root cause analysis. - Align Supabase capabilities with the customer’s roadmap. Successful TAMs are proactive, technically credible, and customer-first. TAM is a relationship, not a response channel: you’ll act as an extension of your customers’ teams and advocate on their behalf within Supabase. You’ll be joining our Success team, where you will be expected to lead and innovate around the following areas of responsibility: Technical Ownership & Onboarding Act as the technical owner for your assigned accounts, documenting environments, mapping dependencies, and tracking technical risks. Validate architecture and deployment plans after the sale, guide initial configuration and best practices, and make sure customers understand platform capabilities and limitations. Help customers reach early success milestones to shorten time to value and reduce early friction. Proactive Technical Guidance Regularly review customer environments and usage patterns to identify scalability, performance, reliability, security, and compliance risks and opportunities. Plan upgrades and lifecycle events, and run architecture reviews for upcoming initiatives, including capacity and growth planning, feature readiness, and early identification of technical blockers. Escalation & Collaboration Coordinate across Support and Engineering on complex or high-impact issues. TAMs are not frontline support, but provide the context, prioritization, and follow-through that drive resolution, root cause analysis, and preventative action. Serve as the voice of the customer to Engineering and Product, sharing specific, reproducible feedback on recurring pain points and taking part in beta and early access programs. Partner with Sales and Customer Success on account health and retention, with technical input on renewals, expansions, and evaluations, and early flags on risks to satisfaction. PREFERRED EXPERIENCE 6+ years of relevant work experience in engineering, SRE, technical consulting, or similar, including operating production systems under real constraints. Strong technical depth across database internals, scalability, security posture, and infrastructure tradeoffs. You understand a customer’s architecture as well as they do, without escalating every question. A proactive mindset: you spot risks and optimization opportunities before the customer does, and you treat your accounts like a personal portfolio. Sound escalation judgment: you know when to escalate, when to resolve internally, and how to communicate clearly under pressure without creating noise. Very strong communication skills. TAMs explain complex issues to non-technical executives and root causes to senior engineers, often in the same day. Awareness of how TAM performance shows up in retention and NRR, including surfacing expansion signals and renewal risks early. Experience working in async or globally distributed teams. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey Workplace: remote Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide. We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us. Your job has four parts: Qualify those leads quickly. Run discovery with buyers at banks, insurers and life sciences companies. Scope the work with our architects. Close. What you'll do: Pick up new leads as they arrive, decide which to pursue, and be able to explain why. Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path. Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses. Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals. Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close. Translate Anthropic's product roadmap and partnership incentives into the client propositions. Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews. Keep the CRM current and forecast your deals accurately. Bring buyer objections and patterns from each industry back to leadership and marketing. Travel for client meetings, up to 30% of your time. What You Need to Succeed: 2–4 years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took. OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors. Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms. Experience selling services engagements or complex B2B deals with several stakeholders. Clear written and spoken communication with director-, VP- and C-level buyers. Comfort handling a steady volume of leads and choosing where to spend your time. Strong plus Experience selling AI/ML, data or cloud services. Experience working partner-referred leads from Anthropic, AWS, GCP or Azure. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Leads arrive every day, so your time goes into closing rather than prospecting. You learn enterprise AI consulting sales in two regulated industries. You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations. The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production. Work at the intersection of two AI partnerships: Anthropic and AWS. High-impact role with direct visibility to leadership. Compensation and benefits Base $90–120K + commission, OTE range $140–170K. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. B2B contract model or full-time model. Unlimited vacation policy. Generous health, vision, and dental insurance, and life insurance. 401(k) matching plan.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Agentic & AI Engineering Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks. Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/harnesses safe, reliable access to backend systems and enterprise data. Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality. Manage context effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability. Developer Productivity Configure and extend Codex/Claude Code for team-wide use: AGENTS.md/CLAUDE.md hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode. Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, tuned to minimize false positives and duplicate findings. Build and maintain MCP server integrations (project- and user-scoped) that extend agent-native development capabilities across engineering workflows. Identify high-value opportunities for AI-assisted development and design reusable capabilities that multiple teams can adopt, not just one-off solutions. Discovery, Prototyping & Production Delivery Partner directly with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery. Rapidly prototype and validate new AI capabilities with real users, then take successful prototypes into secure, observable, maintainable production systems. Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration. Technical Leadership Provide hands-on technical leadership through architecture discussions, code reviews, and troubleshooting of agentic systems. Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices. Communicate tradeoffs, risks, and results clearly to both technical and non-technical stakeholders. Contribute to engineering standards, reusable patterns, and documentation that help other teams build effectively with agentic development tools. Requirements 6+ years of professional software engineering experience, including significant hands-on work building and operating AI/LLM-powered or agentic applications. Strong programming skills (Java, Python, Go, Rust, or C++) and solid engineering fundamentals — API design, testing, debugging, code review, maintainable code. Practical, production-grade experience with agentic SDKs/harnesses, MCP, and LLMs — tool use, orchestration, RAG, context management, structured output, and evaluation. Experience designing MCP tool/resource interfaces and reasoning about tool selection, error handling, and reliability in multi-agent systems. Demonstrated experience integrating AI into CI/CD and developer workflows. Ability to work in ambiguous problem spaces, evaluate tradeoffs, and make pragmatic engineering decisions. Strong written and verbal communication skills, with experience mentoring and leading through influence. Build and maintain an engineering knowledge base for agentic workflows, including content ingestion, organization, updates, and retrieval. Connect it to agents through RAG and MCP so they can use trusted, current information with source citations. Preferred Qualifications Demonstrated expertise across agentic architecture, MCP integration, Codex/Claude Code configuration, prompt engineering, and context management. Experience building multi-agent research or customer support systems, or structured data extraction pipelines. Experience with AWS, Docker, Kubernetes, Terraform, and GitOps in support of AI/agentic infrastructure. Familiarity with vector databases, embeddings, and AI evaluation frameworks. Contributions to open-source projects involving AI, agentic systems, or developer tooling. Strong systems thinking — understands how models, agents, tools, context, APIs, data, and infrastructure fit together as production systems, and can reason about dependencies and tradeoffs across the stack. A track record of adapting quickly to new AI tools, models, and frameworks as the space evolves. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote - Europe Time Zones; Portugal; Spain Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. We are looking for a Product Designer with strong product sense and a hands-on approach, who loves to dig into products, understand user needs, and craft solutions for complex B2B and analytical workflows. IN THIS ROLE YOU WILL: - Design end-to-end product experiences for eco-system of products. - Use analytics and research insights to inform design decisions, while having own vision on how the product should evolve design-wise. - Own the information architecture of the product and its link to user goals as the product grows. - Drive building the infrastructure and prototyping process where product and engineering teams contribute to design solutions directly. - Advocate for a behavioural approach to design across all product teams. - Visualize complex data and create flows that help users make sense of information quickly. - Work on Agentic flows that lead users to their goals and account for human<>AI interaction patterns. - Own small features independently, including product discovery, prototyping, and handoff to engineers. - Maintain and evolve the design system to ensure consistency across products and platforms. ABOUT YOU: - 5+ years of experience as a Product Designer, preferably in B2B SaaS or analytical products. - Strong product sense – able to understand product goals, business context, and user needs, and build solutions that address the three clearly. - Hands-on experience designing data-heavy interfaces. - Comfortable working on small features end-to-end, from concept to release. - Proficient in design and prototyping tools (Figma, etc.). - Able to communicate design decisions and your rationale clearly to cross-functional teams. - Curious and analytical – enjoys digging into data, testing assumptions, and iterating on solutions. - Understands UX patterns for web and mobile products, and has a keen eye for visual design. - Experience designing AI interactions and working with engineering-led initiatives would be a plus WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB As a Forward Software Engineer, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who has shipped agentic or GenAI systems to production. You've felt the pain of agents that work in the demo and fall apart on real tasks: tool calls that fail silently, loops that never end, and quality that drifts after launch. That production depth is your edge. You build across the stack, and you'd rather ship a plain UI on a solid foundation than a polished UI on a fragile one. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. You help set the standard for how the team builds agents that are reliable, observable, and safe to run against sensitive systems. Security is a big part of where we're heading. If you're drawn to it, that's a strong plus. You might come from security with a real interest in AI engineering, or from AI engineering with a real interest in security. Both paths fit. Curiosity about how systems break, and a habit of learning fast from the people who know the domain, matter. Experience at a security company counts too. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the agent architecture: orchestration, tool use, memory, retrieval, and the interfaces between agents and the systems they act on. - Build across the stack, from backend services and APIs to the interfaces people use to work with agents. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build security into agents from day one: permissions, sandboxing, prompt-injection defenses, and audit trails for agents that touch sensitive systems. - Build the evaluation loop: task-level evals, tracing, and checks that catch agent failures and quality drift before customers do. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have 5+ years building production software, with at least one agentic or GenAI system shipped to production that you ran after launch. - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have hands-on depth in agent design: orchestration, tool use, retrieval, evaluation, and the ways agents fail in the real world. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments and are obsessed with time to value - You have product judgment: you learn what users need through customer-facing teams, cut scope hard, and care how the result feels to use. IDEALLY YOU HAVE - Open-source contributions, particularly in agents or LLMs. - Experience deploying and running what you build: Docker, Kubernetes, Terraform, and AWS, GCP, or Azure. - A security background in application, cloud, or AI security, such as prompt injection, securing agents, or supply chain (SBOM, SLSA). If that's you, flag it in your application. - Experience building for security workflows, such as alert triage, threat hunting, or investigation agents, or with SIEM, XDR, or SOAR tooling. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB As a Forward Software Engineer, Data, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who builds end to end and has shipped ML or GenAI systems to production. You've felt the pain of models that pass every eval and fail on real data, and of quality that drifts after launch. You've also felt the data engineering pain: pipelines that break silently, schemas that change under you, and backfills that take a weekend. Data engineering is your edge. You turn messy, large-scale data into systems that hold up. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. Your depth in data architecture helps set the standard for how the team designs and delivers systems. You know lakehouse and data mesh patterns well enough to know when they fit and when they're overkill. You've designed ontologies and data models, and you know that getting them right is as much art as science. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the data architecture underneath them: ingestion, processing, storage, and the data models and ontologies that make messy data usable. - Build distributed pipelines that process large volumes of documents, code, logs, and multimodal content for retrieval, agentic workflows, and fine-tuning. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build data governance into the systems themselves: ownership, access control, lineage, retention, and privacy for sensitive enterprise data. - Build the evaluation loop: labeling with LLMs and humans, versioned eval datasets, and checks that catch quality drift before customers do. - Set the standard for how the team designs and ships data systems. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have 5+ years of experience building and running production data-intensive pipelines with distributed processing (for example Spark, Ray, Beam, or Dask) and orchestration tools (for example Airflow, Dagster, or Prefect) with structured and unstructured data. - You have experience with retrieval-augmented generation, agentic use cases, or LLM evaluation, and a clear view of how data quality drives model quality. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments, are obsessed with time to value and are comfortable making and articulating product-technical tradeoffs. IDEALLY YOU HAVE - A passion for graph-based systems (e.g. Neo4j) and ontology design - Hands-on experience building data pipelines for LLM training, fine-tuning, or evaluation, and contributions to open-source projects, particularly in data or LLMs. - Hands-on experience with data governance and privacy requirements (for example GDPR), secure data handling, CI/CD and infrastructure as code, or an affinity for security engineering. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We are looking for a Senior Product Designer to take our experience to the next level! You will shape the future of the Fivetran and dbt Labs for businesses and see your work drive real business and impact. You will be diving deep into the daily lives of our users and ensuring they are set up for success. You'll balance analytics and user research to identify user problems and opportunities. Taking the lead on solving complex user problems should excite you and get your creative juices flowing. We value those that hit the ground running, leading by example on projects and collaborating well cross-functionally. As you talk with our team, your portfolio should contain case studies that demonstrate strong storytelling skills, use of effective design methodologies, and clear results from your work. Fivetran and dbt Labs have a positive, diverse, and supportive culture. We appreciate designers who are curious, humble, think deeply, speak clearly, and thrive on collaboration and feedback. If this sounds like a good fit for you, send us a hello with links to your work and experience! This is a full-time position based out of our Oakland or Denver offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Own end-to-end design for your product areas, delivering impactful solutions and shaping direction with partners to align with business goals Partner closely with product and engineering to shape direction and turn complex technical requirements into intuitive experiences Design workflows for technical users that simplify complexity while preserving power and clarity Use research and analytics to understand technical users, identify opportunities, and inform and validate design decisions Create flows, interaction models, and prototypes to explore ideas and align teams Connect design decisions to customer and business outcomes Design AI-powered and AI-assisted experiences for complex workflows Define patterns for AI features, including trust, transparency, control, feedback, and recovery Use AI tools in your end-to-end design process to accelerate synthesis, exploration, prototyping, and iteration Drive impactful design outcomes with urgency, proactively navigating ambiguity, unblocking challenges, and maintaining momentum Champion user-centered design by confidently influencing product decisions and challenging partners when needed. Skills We’re Looking For 5+ years of experience in end-to-end product design for complex SaaS, B2B, enterprise, or technical products (data, analytics, developer tools, infrastructure, or similarly technical domains are preferred). Experience designing complex technical experiences with a strong ability to empathize with and deeply understand technical users. Driven by a deep understanding of how products get used and experience leveraging UX research and analytics to inform and measure design decisions. Ability to lead customer research, customer validation, concept design, usability testing, and other modern design practices. Ability to drive and land UX strategy for complex design problems that span multiple teams. Entrepreneurial and self-motivated with a bias toward action. Ability to craft engaging presentations with engrossing stories that influence stakeholders and cross-functional peers. Excitement for the chance to shape the design culture at a growing company and to inspire people with your unique perspective. Fluency using AI in your design process. Bonus Skills​ Experience designing for observability, monitoring, or platform/infrastructure tooling. Experience designing AI-powered product experiences such as copilots, intelligent recommendations, guided troubleshooting, summarization, or agent-like interactions. A desire to have fun while building a great product! #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,391 — $217,989 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Vilnius 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Millions of people trust Flo with their most personal health data. As our Security Architect, you’ll make sure we deserve that trust. This is a hands-on individual contributor role. You’ll work side by side with engineering, product and platform teams to shape secure architectures and build the guardrails that let both humans and AI coding agents ship quickly and safely. The role combines security architecture, product and application security engineering and security risk expertise: you will set secure patterns and standards, lead threat modelling and design reviews, embed security into the SDLC and CI/CD, and translate security risk into clear, pragmatic decisions. What you’ll do Shape secure architecture from day one. Partner with teams early in design, lead security design reviews for new services and major changes, and record key decisions and risk trade-offs. Build security harnesses for human and AI-agent development. Design guardrails, sandboxing, least-privilege access for agents and tools, secrets handling, policy-as-code and automated checks that run inside developer and agent workflows. Lead on AI and agentic security. Define secure patterns for LLM integrations, MCP servers and tool use, and tackle risks like prompt injection, data leakage, excessive agency and supply-chain compromise. Create paved roads. Publish reusable patterns, reference architectures and standards that teams adopt because they’re the easiest option. Scale threat modelling. Build tools and skills that let engineers run threat models themselves, and carry out internal security assessments. Remove whole classes of vulnerabilities. Automate vulnerability triage and investigation, find systemic root causes, and feed the fixes back into patterns and guardrails. Turn risk into clear decisions. Explain security risk in pragmatic terms so the business can prioritise based on risk and value. Advise and enable. Be a trusted partner to engineering, product and leadership, coach engineers, and help evaluate third-party and AI tools so they can be adopted securely. Support ISO 27001/27701 so that controls are built into how we engineer, not bolted on afterwards. What you’ll bring 7+ years in security engineering, application/product security or security architecture, including hands-on work securing cloud-native systems Deep knowledge of Secure SDLC: threat modelling, security testing, app security review and CI/CD security Hands-on experience with AWS and Cloudflare (or equivalents) and Terraform or similar IaC A strong grasp of the OWASP Top 10 and the ability to assess exploitability and impact Solid coding skills (e.g. Python, Go, Scala) and experience building security tooling or automation Practical understanding of the risks in AI-assisted and agentic development and LLM applications (e.g. OWASP Top 10 for LLMs) Experience with security risk analysis and risk management methods The ability to explain trade-offs clearly to engineers and senior stakeholders, and to win people over Nice to have Experience building guardrails, sandboxes or policy-as-code (e.g. OPA) for developer platforms or AI coding agents iOS or Android security experience Experience with ISO 27001, ISO 27701 or SOC 2 audits A background in health tech, femtech or another regulated, privacy-sensitive industry Certifications or degrees such as CISSP, CCSP, OSCP or an MSc in Information Security Why Flo You’ll protect data that matters deeply to millions of people. You’ll also help set the standard for how a company adopts agentic engineering safely, and you’ll have real ownership: you design and build the first version, then hand it off to the teams who will run it. Salary Range - gross per month (ranges may vary based on skills and experience) €8.000 — €10.000 EUR How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Millions of people trust Flo with their most personal health data. As our Security Architect, you’ll make sure we deserve that trust. This is a hands-on individual contributor role. You’ll work side by side with engineering, product and platform teams to shape secure architectures and build the guardrails that let both humans and AI coding agents ship quickly and safely. The role combines security architecture, product and application security engineering and security risk expertise: you will set secure patterns and standards, lead threat modelling and design reviews, embed security into the SDLC and CI/CD, and translate security risk into clear, pragmatic decisions. What you’ll do Shape secure architecture from day one. Partner with teams early in design, lead security design reviews for new services and major changes, and record key decisions and risk trade-offs. Build security harnesses for human and AI-agent development. Design guardrails, sandboxing, least-privilege access for agents and tools, secrets handling, policy-as-code and automated checks that run inside developer and agent workflows. Lead on AI and agentic security. Define secure patterns for LLM integrations, MCP servers and tool use, and tackle risks like prompt injection, data leakage, excessive agency and supply-chain compromise. Create paved roads. Publish reusable patterns, reference architectures and standards that teams adopt because they’re the easiest option. Scale threat modelling. Build tools and skills that let engineers run threat models themselves, and carry out internal security assessments. Remove whole classes of vulnerabilities. Automate vulnerability triage and investigation, find systemic root causes, and feed the fixes back into patterns and guardrails. Turn risk into clear decisions. Explain security risk in pragmatic terms so the business can prioritise based on risk and value. Advise and enable. Be a trusted partner to engineering, product and leadership, coach engineers, and help evaluate third-party and AI tools so they can be adopted securely. Support ISO 27001/27701 so that controls are built into how we engineer, not bolted on afterwards. What you’ll bring 7+ years in security engineering, application/product security or security architecture, including hands-on work securing cloud-native systems Deep knowledge of Secure SDLC: threat modelling, security testing, app security review and CI/CD security Hands-on experience with AWS and Cloudflare (or equivalents) and Terraform or similar IaC A strong grasp of the OWASP Top 10 and the ability to assess exploitability and impact Solid coding skills (e.g. Python, Go, Scala) and experience building security tooling or automation Practical understanding of the risks in AI-assisted and agentic development and LLM applications (e.g. OWASP Top 10 for LLMs) Experience with security risk analysis and risk management methods The ability to explain trade-offs clearly to engineers and senior stakeholders, and to win people over Nice to have Experience building guardrails, sandboxes or policy-as-code (e.g. OPA) for developer platforms or AI coding agents iOS or Android security experience Experience with ISO 27001, ISO 27701 or SOC 2 audits A background in health tech, femtech or another regulated, privacy-sensitive industry Certifications or degrees such as CISSP, CCSP, OSCP or an MSc in Information Security Why Flo You’ll protect data that matters deeply to millions of people. You’ll also help set the standard for how a company adopts agentic engineering safely, and you’ll have real ownership: you design and build the first version, then hand it off to the teams who will run it. Annual Salary Range (ranges may vary based on skills and experience) £100,000 — £130,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are looking for a proactive and detail-oriented General QA Engineer to help ensure the quality and reliability of our product. In this role, you will combine manual and automated testing, build and maintain scalable Playwright test suites, leverage AI-powered tools to increase efficiency and work closely with engineering and product teams to deliver a seamless user experience. As part of our team, your responsibilities in this role will include: Automates validation across UI, APIs, dashboards Maintains reusable test systems, flakes analytics Development and maintenance of a suite of e2e/UI tests in Playwright (TS), covering critical user scenarios. Use of AI in work Practical use of LLM tools (e.g., ChatGPT, GitHub Copilot/Codeium) to optimize the execution of testing tasks. Performing manual testing of features (planning, test design, regression, exploratory). Integration and optimization of test runs in CI (parallelization, stabilization, flakiness metrics). Setting up reporting and observability for automated tests (traces, video, flake analytics). Collaboration with engineering and product: requirements clarification, help reproducing defects, and improving testability. Maintaining the quality of test data and environments Our ideal candidate possesses the following skills: 3–5 years in QA, including 1.5+ years in automation using JavaScript/Playwright. Strong Playwright: Test Runner, fixtures, projects, parallelization, and sharding. Auto-wait/locators, stable selectors, working with flakes (timeouts, retries, expect.poll). BrowserContext/Page, environment isolation, test data management. Tracing, video/screenshots, network mocking (route), APIRequestContext. Page Object/Screenplay patterns, project structure, reusability. AI & No-Code Integration: Building test workflows in n8n, Zapier, Gumloop. Use of no-code tools as part of the automated test infrastructure. AI-Enhanced Testing: Practical use of LLMs (e.g., ChatGPT, Copilot). Explore AI QA tools (Testim, Diffblue, CodiumAI, Mabl). JavaScript/TypeScript at advanced mid-level: Async/await, promises, modules, TS typing, interfaces, generics. NPM/Yarn, Node.js scripts, ESLint/Prettier configuration. PI testing: REST, Postman/Swagger. Browser DevTools: network, storage, cookies, CORS, headers, status codes. Databases: solid SQL, basic work with test data. CI/CD and VCS: Git (branching, PR, code review). Integration of automated tests into CI (GitHub Actions/Jenkins), artifacts, and reports. Running tests in containers/headless, dependency management, and caching. Manual testing: Requirements analysis. Creation of all types of test documentation. Test design techniques. Types of testing. English: reading documentation and written communication (Intermediate+). What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break) Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you

-Опыт работы на аналогичной должности от 6 лет.