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Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Poland 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're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of Customer Success Managers while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: Directly manage and develop a team Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API, Claude.ai , Claude Code) Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise Conduct regular 1:1s, performance reviews, and career development planning for direct reports Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio Develop customer advocacy programs including case studies, testimonials, and reference architecture development Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings Strong executive presence and ability to represent Anthropic with customer technical and business leaders Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs Track record of achieving team targets for expansion, retention and customer satisfaction Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology 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: $265,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits. Задачи: — Lead and execute monetization projects within the CRM team, taking ownership of campaigns that drive revenue growth. — Design and optimize lifecycle journeys with a focus on acquisition, conversion, and win- strategies. — Implement a hands-on approach to CRM operations, managing high volumes of campaigns and ensuring seamless execution. — Develop innovative segmentation and communication strategies through continuous testing and experimentation. — Build a robust A/B testing framework, analyzing results to propose data-driven improvements. — Ensure campaign deliverability and technical soundness, troubleshooting issues and coordinating with engineering teams when needed. — Collaborate closely with Growth, Design, Analytics, and other cross-functional teams to align CRM initiatives with broader business goals. — Monitor and analyze key CRM performance metrics, preparing detailed reports and actionable insights. — Own technical CRM setup, including campaign automation, deliverability optimization, and tool integrations. — Serve as a proactive problem-solver, bringing forward new ideas to improve processes, enhance user experiences, and maximize monetization outcomes. — Maintain a hands-on approach to operational tasks, balancing execution with strategic input. Требования: — 5+ years of CRM experience, both in developing communication strategies and in hands-on execution. — A strong monetization mindset, with the ability to evaluate initiatives based on revenue potential. — Proven track record in customer lifecycle management and implementing strategies that drive measurable revenue growth. — Technical expertise in CRM systems (Braze, Customer.io experience is a plus) and the ability to ensure flawless campaign execution and troubleshooting. — Proficiency in analytical tools, with a results-driven approach to experiment tracking and performance analysis. — Comfortable working in cross-functional environments, particularly in collaboration with Growth teams and developers. — Hands-on operational expertise in managing high-volume communications and setting up CRM workflows. — A proactive problem-solver with a self-starter attitude, eager to bring innovative ideas to the table. — Experience improving email deliverability would be a plus. Условия: — Remote, in-office, and hybrid work opportunities. — The equipment you need to do your job. — A premium SIMPLE subscription. — 21 days annual leave, plus bank holidays (those observed where you live). — Flexible hours. We focus on your results, not how long you spend at your desk. — Competitive salary package commensurate with experience.

Location: Paris, France 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. ABOUT THE ROLE: The Notion EMEA Recruiting team acts as trusted business partners who craft a thorough, inclusive, and curated interviewing experience. We believe hiring exceptional talent, at the right time, is the best path forward to achieve our company’s ambitious goals. We’re looking for a Go-to-Market Recruiter to support our growth across key Go-to-Market (GTM) teams in EMEA, with an emphasis on Sales. In this role, you'll help shape our recruiting strategy, manage full-cycle hiring efforts, and ensure a delightful yet rigorous hiring process. This role will be based in Paris. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Serve as a trusted recruiting partner to leaders across the GTM org, owning the full recruiting lifecycle from sourcing through successful close - Design and implement creative sourcing strategies to attract diverse top talent across EMEA markets - Ensure scalable and structured hiring plans with consistent evaluation processes while creating thoughtful candidate experiences - Partner with cross-functional teams including Total Rewards, People Operations, and People Partners to drive holistic talent strategies - Leverage AI tools, to innovate recruiting processes and provide data-driven insights on market conditions - Champion and scale best practices while thoughtfully adapting for regional nuances SKILLS YOU'LL NEED TO BRING: - 5+ years of full-cycle recruiting experience in high-growth, technical, GTM functions - Fluency in French and English - Proven track record of identifying, qualifying, and closing exceptional talent across various levels - Experience coaching and advising hiring managers through our recruiting process while keeping talent density as a priority - Ability to build diverse candidate pipelines and guide hiring managers in creating inclusive teams - Outstanding communication, attention to detail, and interpersonal skills with a commitment to delivering high-quality recruiting experiences - Ability to thrive in fast-paced, dynamic environments NICE TO HAVES: - Passionate about leveraging technology and AI to transform recruiting processes 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. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €98,000-€109,000 per year. 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #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: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next emerging Fraud Researcher. About the job This position is needed to detect emerging fraud trends and behaviors on Twilio Network, across all channels - voice, messaging and email. You will work on researching new fraud behaviors by analyzing industry trends and analyzing billions of events using AI tools. Responsibilities In this role, you’ll: Perform independent research using AI tools to identify novel emerging fraud trends Work with data scientists to create ML models to detect fraud behaviors at scale Continuously stress test our network for vulnerabilities Analyze large-scale messaging and voice traffic to identify novel patterns of fraudulent activity, including AIT and ATO. Develop and execute proactive fraud mitigation strategies to protect customers and the network. Collaborate with data science and engineering teams to refine detection models and reduce false positives. Conduct in-depth investigations into high-impact fraud incidents, providing root cause analysis and actionable recommendations. Monitor industry trends in fraud and bot detection to maintain a competitive defense posture. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 5+ years of experience in fraud investigations, trust & safety, or security analysis within a high-growth tech environment or large-scale distributed systems. Advanced expertise in complex data analysis, SQL, and data visualization tools to query large-scale datasets and uncover novel fraud behaviors or systemic abuses. Proven track record of designing and executing proactive fraud mitigation strategies to protect platform integrity and minimize risk exposure. Strong cross-functional incident response leadership with the ability to translate complex security risks into clear, actionable business strategies for technical and executive stakeholders. Desired: Experience in the CPaaS, telecommunications, or payments industry. Familiarity with machine learning concepts and their application in fraud detection. Relevant certifications such as CFE (Certified Fraud Examiner) or CISSP. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120 (Developing Minimum for Tier 3) - $213,900 (Mid for Tier 3). Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200 (Developing Minimum for Tier 2) - $226,500 (Mid for Tier 2). Based in the San Francisco Bay area, California: $201,280 (Developing Minimum for Tier 1) - $251,600 (Mid for Tier 1). This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until October 14, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Spain, Remote Workplace: remote Introduction to the Team & Role   What if your team was the one that got to build the future of how a company runs — and tried it on itself first?   GTM Systems owns the tech stack behind 360Learning's commercial engine — Salesforce, Marketo, data enrichment and AI tooling across sales, marketing, customer success and services. Our mission is to be a force multiplier for the business: making go-to-market faster, smarter and more effective.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. Now we need someone to build on that foundation and take it to the next level.   You'll work closely with GTM leaders, operators, data teams and engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of product, systems, AI and go-to-market strategy.   Key Responsibility Areas Own the internal AI operating model for GTM — the library of skills, agent evals, cost, adoption and ROI — in partnership with Data and Enablement. Keep the team a step ahead as customer zero for AI, turning what works into patterns other functions adopt. Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach five senior ICs across Salesforce, marketing/BDR, CS systems and web ops. Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Run vendor management end to end: evaluations, the quarterly keep-or-kill review, and renewals. Partner as a peer to the leaders of Data, Enablement, Security, Finance and every commercial function. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with Understand the main business challenges and opportunities for each GTM function Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have taken one major cross-functional change from plan to done Own the full vendor-renewal cycle across the commercial stack Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Have shipped at least one AI agent that watches business data and reaches people on its own, with a named business owner and outcome measures agreed before launch. Have a 12-18 month roadmap, setting the high-level vision across our systems infrastructure, ways of working, and AI portfolio Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have a development path agreed with each member of the team. Have the team recognized as the company's reference for AI-native operations The Skill Set 5+ years across GTM systems, agentic/AI workflow products, revenue technology, enterprise SaaS — or an adjacent path like technical product management or consulting where you designed and shipped real systems with a strong AI mandate. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Have fluency in modern GTM systems: Salesforce, marketing automation, enrichment, routing, attribution, lead-to-quote, billing or customer lifecycle tools. Deep Salesforce fluency is a strong plus. Have built with modern AI tooling: agents, plugins or skills on top of LLMs, connectors to business systems, and evals that tell you whether an agent is good. You define KPIs, run experiments, and use data to prioritize where to invest and to measure real impact on pipeline, conversion, efficiency and revenue. You drive  strategic alignment and executive communication — conclusion first, tradeoffs named, complex topics made simple — and you drive change through to adoption. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Run vendor evaluations end to end Set and hold standards for documentation, testing and deployment without slowing the team down, and coach senior ICs with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies. Balance: Flexible hours, Total work from home possible anywhere in Spain 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: London, Remote Workplace: remote Introduction to the Team & Role   What if your team was the one that got to build the future of how a company runs — and tried it on itself first?   GTM Systems owns the tech stack behind 360Learning's commercial engine — Salesforce, Marketo, data enrichment and AI tooling across sales, marketing, customer success and services. Our mission is to be a force multiplier for the business: making go-to-market faster, smarter and more effective.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. Now we need someone to build on that foundation and take it to the next level.   You'll work closely with GTM leaders, operators, data teams and engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of product, systems, AI and go-to-market strategy.   Key Responsibility Areas Own the internal AI operating model for GTM — the library of skills, agent evals, cost, adoption and ROI — in partnership with Data and Enablement. Keep the team a step ahead as customer zero for AI, turning what works into patterns other functions adopt. Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach five senior ICs across Salesforce, marketing/BDR, CS systems and web ops. Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Run vendor management end to end: evaluations, the quarterly keep-or-kill review, and renewals. Partner as a peer to the leaders of Data, Enablement, Security, Finance and every commercial function. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with Understand the main business challenges and opportunities for each GTM function Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have taken one major cross-functional change from plan to done Own the full vendor-renewal cycle across the commercial stack Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Have shipped at least one AI agent that watches business data and reaches people on its own, with a named business owner and outcome measures agreed before launch. Have a 12-18 month roadmap, setting the high-level vision across our systems infrastructure, ways of working, and AI portfolio Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have a development path agreed with each member of the team. Have the team recognized as the company's reference for AI-native operations The Skill Set 5+ years across GTM systems, agentic/AI workflow products, revenue technology, enterprise SaaS — or an adjacent path like technical product management or consulting where you designed and shipped real systems with a strong AI mandate. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Have fluency in modern GTM systems: Salesforce, marketing automation, enrichment, routing, attribution, lead-to-quote, billing or customer lifecycle tools. Deep Salesforce fluency is a strong plus. Have built with modern AI tooling: agents, plugins or skills on top of LLMs, connectors to business systems, and evals that tell you whether an agent is good. You define KPIs, run experiments, and use data to prioritize where to invest and to measure real impact on pipeline, conversion, efficiency and revenue. You drive  strategic alignment and executive communication — conclusion first, tradeoffs named, complex topics made simple — and you drive change through to adoption. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Run vendor evaluations end to end Set and hold standards for documentation, testing and deployment without slowing the team down, and coach senior ICs with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Berlin, Remote Workplace: remote Introduction to the Team & Role   What if your team was the one that got to build the future of how a company runs — and tried it on itself first?   GTM Systems owns the tech stack behind 360Learning's commercial engine — Salesforce, Marketo, data enrichment and AI tooling across sales, marketing, customer success and services. Our mission is to be a force multiplier for the business: making go-to-market faster, smarter and more effective.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. Now we need someone to build on that foundation and take it to the next level.   You'll work closely with GTM leaders, operators, data teams and engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of product, systems, AI and go-to-market strategy.   Key Responsibility Areas Own the internal AI operating model for GTM — the library of skills, agent evals, cost, adoption and ROI — in partnership with Data and Enablement. Keep the team a step ahead as customer zero for AI, turning what works into patterns other functions adopt. Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach five senior ICs across Salesforce, marketing/BDR, CS systems and web ops. Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Run vendor management end to end: evaluations, the quarterly keep-or-kill review, and renewals. Partner as a peer to the leaders of Data, Enablement, Security, Finance and every commercial function. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with Understand the main business challenges and opportunities for each GTM function Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have taken one major cross-functional change from plan to done Own the full vendor-renewal cycle across the commercial stack Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Have shipped at least one AI agent that watches business data and reaches people on its own, with a named business owner and outcome measures agreed before launch. Have a 12-18 month roadmap, setting the high-level vision across our systems infrastructure, ways of working, and AI portfolio Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have a development path agreed with each member of the team. Have the team recognized as the company's reference for AI-native operations The Skill Set 5+ years across GTM systems, agentic/AI workflow products, revenue technology, enterprise SaaS — or an adjacent path like technical product management or consulting where you designed and shipped real systems with a strong AI mandate. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Have fluency in modern GTM systems: Salesforce, marketing automation, enrichment, routing, attribution, lead-to-quote, billing or customer lifecycle tools. Deep Salesforce fluency is a strong plus. Have built with modern AI tooling: agents, plugins or skills on top of LLMs, connectors to business systems, and evals that tell you whether an agent is good. You define KPIs, run experiments, and use data to prioritize where to invest and to measure real impact on pipeline, conversion, efficiency and revenue. You drive  strategic alignment and executive communication — conclusion first, tradeoffs named, complex topics made simple — and you drive change through to adoption. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Run vendor evaluations end to end Set and hold standards for documentation, testing and deployment without slowing the team down, and coach senior ICs with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, Total work from home possible anywhere in Germany 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a high level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. As a Program Manager at WHOOP, you will be a critical member of the team that develops the next generation of models that will power the features we can provide to members. This role sits at the intersection of machine learning, data science, sensor intelligence, platform engineering, and product, and is responsible for translating complex technical work into clear plans, dependencies, and outcomes to ensure projects are delivered on time, aligned to strategy, and built for scale. Success in this role will require a high degree of adaptability and a solutions mindset, ability to simplify complexity, while continuously managing shifting priorities. Foundation AI capabilities are critical to our ability to innovate quickly and responsibly. This role ensures that the underlying systems powering our features are delivered thoughtfully, reliably, and in a way that unlocks impact across the entire organization. RESPONSIBILITIES: - Drive Foundation AI projects from kickoff through development to deployment and stabilization - Support the VP of Foundation AI to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics - Develop project plans consistent with business goals and requirements for algorithm performance - Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication - Work with the FAI team, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, Firmware to ensure project objectives and priorities are aligned across departments - Bring together key stakeholders to facilitate timely and lasting decision-making - Partner with the extended team on compute infrastructure planning, focusing on availability constraints, capacity forecasting, vendor quotes/lead times, and tradeoffs across vendors. - Partner with the broader RAD program management team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner. - Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts. - Facilitate cross-functional communication across WHOOP for awareness and understanding. - Understanding of technical issues to facilitate resolution of project blockers is a plus QUALIFICATIONS: - 2+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems - Experience working with AI or applied ML teams - Familiarity with agile methodologies, sprint planning, backlog grooming processes - Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success - Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required - Clear, confident communicator who can bridge deeply technical teams and business stakeholders - Proven ability to influence without authority and drive alignment across diverse teams - Nice to Have: - Experience working with research teams - Background in consumer technology, platforms, or data-driven products - Experience organizing projects using Jira or similar platforms This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $$125,000-$175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Remote - European Region Workplace: hybrid Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Responsibilities Own the product strategy and roadmap for an institutional crypto infrastructure business, working closely with the Founder and leadership team. Act as a strong product and market counterpart to the Founder: challenge assumptions, develop independent points of view, and support product decisions with market evidence, customer insights, and data. Identify opportunities, move fast to test them, launch what works, skip what doesn't Lead products from 0→1 — from identifying the market problem and defining the proposition through MVP, first customers, commercial launch, and iteration. Translate complex technical infrastructure into products that solve real institutional customer needs and have a clear commercial model. Make informed product and architecture trade-offs involving technologies such as MPC, multi-signature, HSM, private key management, and blockchain infrastructure. Develop a strong understanding of the competitive landscape across custody technology providers, regulated custodians, prime brokers, liquidity providers, and institutional trading infrastructure. Own the commercial side of product decisions, including pricing, revenue models, unit economics, market sizing, and business cases for new products. Work closely with enterprise customers and commercial teams to understand institutional requirements, validate product-market fit, and support complex sales and integration cycles. Incorporate regulatory and compliance requirements into product architecture, workflows, customer experience, operating models, and go-to-market strategy. Build the initial product team and operating model, including hiring the first key team members, defining responsibilities, and establishing effective product processes. Partner closely with Engineering, Compliance, Sales, Operations, and other functions to take products from concept to production and commercial adoption. Define product KPIs and use customer, market, product, and commercial data to evaluate performance and prioritize investment. Requirements Market + tech depth (Strong general product management experience without relevant domain depth will not be sufficient) Experience in senior B2B product roles, with significant experience in fintech, digital assets, or crypto infrastructure. Deep knowledge of the institutional crypto market and its underlying technology. Strong general product management experience without relevant domain depth will not be sufficient. Demonstrated experience personally building at least one product from 0→1, from an initial market problem or idea through launch, customer adoption, and/or revenue. Deep expertise in at least one of the following areas: Digital asset custody and private key management Liquidity management and prime brokerage Blockchain payment infrastructure Tokenization and settlement Strong understanding of institutional crypto infrastructure and the differences between technology providers, regulated custodians, prime brokers, liquidity providers, and trading technology platforms. Technical fluency sufficient to discuss architecture and product trade-offs around MPC, multi-signature, HSM, wallet infrastructure, and private key management with senior engineers and technical leadership. Experience building B2B products for institutional or enterprise customers, including complex integrations and long enterprise sales cycles. Hands-on experience operating in a regulated environment where regulatory or compliance requirements materially influenced product decisions. Familiarity with relevant regulatory frameworks such as MiCA, DORA, the Travel Rule, VQF, PCI DSS, or comparable frameworks. Experience building a product team or new product function from scratch, ideally including hiring the first 3–5 team members and establishing the initial operating model. Strong commercial mindset with hands-on experience in pricing, revenue models, unit economics, market sizing, and product monetization. Ability to combine technical understanding, customer insight, market knowledge, and commercial data to make clear product decisions. Comfortable operating with a high degree of ownership and ambiguity in a founder-led environment. Strong communication and stakeholder management skills, with the confidence to challenge senior stakeholders and defend a point of view with evidence. Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: European Union Workplace: Remote ABOUT PLAYSON Playson builds premium casino games and platform solutions for operators worldwide. Our products reach millions of players across regulated markets, and we ship frequently - which means our certification and compliance evidence has to be as well-engineered as the games themselves. We are hiring a Software Developer, Compliance, to own that engineering: a pipeline that lets us ship faster and safer, and a defence of the platform and the games that holds up in front of a lab, an ISO assessor, and a future SOC 2 auditor. About the role You are a software developer sitting inside compliance. You will build and continuously evolve a secure compliance pipeline so we can ship games and platform changes faster and safer - and you will be the technical person who defends what we shipped when an auditor, a certification lab, or a regulator asks. The scope is not games alone. You will stand in front of game certification labs, and you will also defend the platform: ISO certification of our systems and the evidence work that leads into a future SOC 2 audit. In every case, the job is the same. You produce the proof. You walk the auditor through it. You answer the question that was asked, with the evidence that was requested, and you stop there. You will own the technical side of game certification. You take a game math package from the review channel to the lab, you produce the evidence the lab needs - build hashes, PAR sheets, configuration snapshots, version manifests - and you answer the lab's technical questions yourself, without a developer sitting next to you. When a certificate comes back, you are the person who confirms every deficiency is closed before the game is allowed past the pre-release gate. Between lab submissions, you treat the pipeline as a product. Manual evidence collection, one-off screenshots, and tribal knowledge are the things you replace. You automate controls, tighten the audit trail, and shorten the path from "ready to ship" to "ready to show an auditor" without weakening the bar. Faster and safer at the same time is the point of this role - not one at the expense of the other.   WHAT WE'RE LOOKING FOR - You are a developer first. 3+ years writing production code, comfortable reading someone else's codebase and forming your own opinion about what it does. You are not a documentation coordinator who learned some technical words - Strong Node.js and TypeScript. Our game math packages, engine integration, rules and bets migrations, test suites, and compliance automation are all JavaScript-side. You will read game math code and verify that what it does matches what we told the lab it does - and you will write the tooling that makes that check repeatable - You know what it takes to build certified products. You have worked for an iGaming game provider, a lottery, or another business where products require certification. You understand how that shapes development, testing, and releases, and why the code and supporting evidence need to stay aligned. - You build pipelines, not checklists. You have taken a manual, high-stakes process and turned it into something engineered: automated evidence, versioned artefacts, gates that fail closed - You can read data and write queries. SQL against a production analytics store, log investigation, understanding a metrics pipeline well enough to tell a real control failure from a broken dashboard - Composure in front of an auditor. In a lab session, an ISO assessment, or a future SOC 2 walkthrough, you answer the question that was asked with the evidence that was requested. You communicate with auditors and certification labs precisely and factually. You provide complete evidence for the question or control being assessed, avoid speculation, and escalate regulatory interpretations to the Head of Compliance - You know where your authority ends. When a question moves from technical fact to regulatory interpretation or commercial consequence, you route it to the Head of Compliance instead of improvising - You write clearly and permanently. Compliance evidence is read years later by people who were not in the room. Your documentation has to survive that - You are comfortable saying no. You will be the person telling a squad, under release pressure, that their change does not pass the gate. That conversation needs to be calm, specific, and final - Precise by temperament. You check the version number rather than remembering it. You are not bored by an audit trail     NICE TO HAVE - Direct dealings with a certification lab (GLI, BMM, eCOGRA, iTech Labs, or similar) or a gaming regulator - Hands-on evidence work for ISO 27001, SOC 2, or an equivalent information-security audit - Understanding of RNG, RTP mathematics, and how statistical certification evidence is produced - Familiarity with multi-jurisdiction licensing (UKGC, MGA, and regulated EU and LatAm markets) - Observability and alerting tooling - Datadog or equivalent, including building automation on top of it rather than just reading dashboards - Experience with change-management controls, audit trails, and segregation-of-duties models - Incident response experience, particularly where the incident had a regulatory or audit dimension     WHAT YOU CAN EXPECT ON THIS ROLE - A role with real authority: you hold gate sign-off, and a release does not go past you without it - Genuine engineering work - you own the compliance pipeline as a product, not a pile of checklists with a technical title - Direct exposure to certification labs, ISO assessors, and the path to SOC 2 - rare and portable experience - Close collaboration with math, QA, platform, and SRE across games and the platform - A compliance function that is being built up deliberately, with room to shape how it works WHAT WE OFFER - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Join us today!   By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Paris, Remote Workplace: remote Introduction to the Team & Role   What if your team was the one that got to build the future of how a company runs — and tried it on itself first?   GTM Systems owns the tech stack behind 360Learning's commercial engine — Salesforce, Marketo, data enrichment and AI tooling across sales, marketing, customer success and services. Our mission is to be a force multiplier for the business: making go-to-market faster, smarter and more effective.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. Now we need someone to build on that foundation and take it to the next level.   You'll work closely with GTM leaders, operators, data teams and engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of product, systems, AI and go-to-market strategy.   Key Responsibility Areas Own the internal AI operating model for GTM — the library of skills, agent evals, cost, adoption and ROI — in partnership with Data and Enablement. Keep the team a step ahead as customer zero for AI, turning what works into patterns other functions adopt. Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach five senior ICs across Salesforce, marketing/BDR, CS systems and web ops. Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Run vendor management end to end: evaluations, the quarterly keep-or-kill review, and renewals. Partner as a peer to the leaders of Data, Enablement, Security, Finance and every commercial function. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with Understand the main business challenges and opportunities for each GTM function Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have taken one major cross-functional change from plan to done Own the full vendor-renewal cycle across the commercial stack Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Have shipped at least one AI agent that watches business data and reaches people on its own, with a named business owner and outcome measures agreed before launch. Have a 12-18 month roadmap, setting the high-level vision across our systems infrastructure, ways of working, and AI portfolio Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have a development path agreed with each member of the team. Have the team recognized as the company's reference for AI-native operations The Skill Set 5+ years across GTM systems, agentic/AI workflow products, revenue technology, enterprise SaaS — or an adjacent path like technical product management or consulting where you designed and shipped real systems with a strong AI mandate. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Have fluency in modern GTM systems: Salesforce, marketing automation, enrichment, routing, attribution, lead-to-quote, billing or customer lifecycle tools. Deep Salesforce fluency is a strong plus. Have built with modern AI tooling: agents, plugins or skills on top of LLMs, connectors to business systems, and evals that tell you whether an agent is good. You define KPIs, run experiments, and use data to prioritize where to invest and to measure real impact on pipeline, conversion, efficiency and revenue. You drive  strategic alignment and executive communication — conclusion first, tradeoffs named, complex topics made simple — and you drive change through to adoption. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Run vendor evaluations end to end Set and hold standards for documentation, testing and deployment without slowing the team down, and coach senior ICs with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director of Product Security and Incident Response Location: Remote US Compensation Range: $200,000.00 to $210,000.00 plus bonus and equity What You’ll Do: As a Staff CSIRT Analyst, you will be the cornerstone of Huntress’ internal security resilience. You will act as the primary internal escalation point from our SOC, ensuring we protect ourselves with the same rigor and products we use for our customers. In this role, you will strategize with leaders across multiple functions to identify work streams and own the end-to-end incident response lifecycle. You will guide teams, determine key milestones, and proactively anticipate blockers that could hinder our response capabilities. Responsibilities: Incident Response & Triage: Lead the identification, triage, and validation of security incidents through various telemetry sources, acting as the ultimate escalation point for the SOC. Strategic Preparedness: Drive organizational incident readiness by designing and executing practical response exercises (tabletops and purple teaming) to ensure first responders are prepared at all levels of our organization. Telemetry Optimization: Partner with engineering, product security, and detection engineering teams to tune existing telemetry sources to a high true-positive rate, reducing noise and increasing detection efficacy. Offensive Security Partnership: Collaborate closely with the Offensive Security team to identify visibility gaps and ensure proper coverage against modern threat actor TTPs. Partner with product security, engineering, detection engineering, and other applicable business units to close these gaps rather than treating them as a blocker. Continuous Improvement & Leadership : Lead cross-functional Post-Incident Reviews (PIRs) to extract critical lessons learned; own the lifecycle of resulting remediation tasks, driving specific tooling and process enhancements that harden organizational defenses and response against future threats. Stakeholder Communication: Develop and present comprehensive reports and "lessons learned" to stakeholders at all levels following major incidents or exercises. Documentation: Create and maintain playbooks, system configurations, and incident response standards to ensure scalability and supportability. What You Bring To The Team: Experience: 8+ years of experience in Incident Response, SOC Operations, or Digital Forensics (DFIR). Technical Expertise: Advanced knowledge of EDR/MDR platforms, log aggregation (SIEM/ELK), and cloud security environments (AWS/Azure/M365). Problem Solving: Proven ability to articulate the root cause of complex problems using first principles and translate insights into technical solutions. Strategic Thinking: Experience leading small project teams and aligning tech stacks across functions. Communication: Exceptional ability to convey complex technical incident details to both technical teams and executive leadership. Tooling: Familiarity with automation/SOAR platforms and documentation tools like Confluence, Jira, and Lucid Chart. Mindset: A proactive, forward-thinking approach to security with a passion for building "stewardship of culture" through inclusive and actionable security behaviors. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: United Kingdom, London 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. Role overview We are seeking a Senior Localisation Quality Engineer, a highly skilled and innovative individual who brings together design-phase product thinking, software engineering expertise, localisation awareness, and technical problem solving. The role builds on the core responsibilities of a Senior Localisation QA Engineer, combining strong localization quality expertise with software engineering, automation, and earlier involvement in the product design and development lifecycle. This role is ideal for someone who has worked closely with design teams in Figma, has experience reviewing and validating designs before implementation, understands how localisation impacts product and UI design, and can build scalable technical solutions to improve quality across the product lifecycle. You will partner with design, engineering, product, and localisation teams to identify risks early, improve design quality and localisation readiness, and create tools, systems, and solutions that enable faster and smarter delivery. Rather than focusing only on post-implementation testing, this role emphasises early engagement in the design phase, including reviewing Figma files, prototypes, design systems, user flows, and content structures to ensure they are scalable, testable, and ready for localisation across languages and regions. You will also contribute as a hands-on engineer, building software, automation, integrations, and AI-driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision-making. The ideal candidate combines strong software development skills, experience working with design systems and Figma-based workflows, practical understanding of localisation and internationalisation, and hands-on interest in engineering solutions to product and quality challenges. Responsibilities Design Systems, Figma & Early Product Quality - Partner with designers, product managers, engineers, and the wider Localisation team to help identify localisation risks early in the design phase. - Support the Localisation team by reviewing Figma designs and providing technical and design expertise to improve localisation readiness before implementation. - Help the Localisation team identify and address design risks such as text expansion, truncation, layout issues, bidirectional languages, locale-aware components, and cross-market scalability. - .Build and improve tools, automation, and processes that enable Localisation QA to identify issues earlier and at scale, including automated design and content validation, screenshot capture, localisation readiness checks, and quality validation across languages and regions. - Work with the wider Localisation team to define best practices and guidance that help designers and engineers create products that are ready for localisation from the start. - Collaborate with design teams on design systems, UI patterns, and content structures to improve quality and reduce downstream issues before code is written. - Help define quality expectations, localisation considerations, and implementation guidance directly from design artefacts and product requirements. Localisation Quality & Testing - Perform hands-on Localisation QA testing across multiple languages, platforms, products, and regions, including linguistic, functional, visual, and internationalisation testing. - Lead and support complex localisation quality initiatives, while contributing directly to day-to-day testing when needed. - Develop and improve localisation test strategies covering linguistic, functional, visual, and internationalisation quality. - Investigate complex localisation and internationalisation issues and work with engineering, design, product, and localisation teams to identify root causes and appropriate solutions. - Help define localisation quality standards and ensure localisation considerations are integrated throughout the product development lifecycle, from design through implementation and release. Software Engineering & Technical Solutions - Design and develop software, internal tools, automation, and reusable services that improve product quality, design validation, and workflow efficiency. - Build scalable software solutions that support validation of product experiences across design, development, and release stages. - Contribute to codebases, frameworks, and technical infrastructure that improve quality signals, design consistency, and localisation support. - Partner with software engineers to improve feature readiness, system testability, and quality-by-design practices. - Integrate validation and quality workflows into modern development environments and CI/CD pipelines where appropriate. Automation, Tooling & Process Improvement - Identify opportunities to reduce manual work and improve localisation and product quality across design, engineering, and localisation workflows. - Design and build tools, automation, integrations, or other technical solutions that help teams review designs, validate content, detect issues, and improve workflows. - Choose the right technical approach for each problem, which may include traditional automation, scripts, plugins, APIs, AI/LLMs, or existing internal tools. - Develop solutions that help identify localisation and quality issues earlier in the product lifecycle and provide faster feedback to teams. - Prototype and test new approaches, measure their value, and develop successful solutions so they can be used by the wider Localisation team and potentially other teams. Cross-Functional Leadership - Act as a bridge across design, engineering, product, and localisation teams, helping align quality, scalability, and user experience goals. - Communicate clearly with both technical and non-technical stakeholders, translating complex issues into actionable recommendations. - Influence teams toward a shift-left, design-led quality approach. - Contribute to planning, design reviews, implementation discussions, and release readiness with a focus on preventing issues early. - Provide technical guidance and mentorship to members of the Localisation team, sharing engineering, automation, localisation, and quality best practices. - Promote a culture of innovation, technical excellence, and continuous improvement. Qualifications Education BS/BA in Computer Science, Engineering, Human-Computer Interaction, Design Technology, or a related field, or equivalent practical experience. Experience - 5+ years of experience in software engineering, design technology, quality engineering, localisation engineering, or related product development roles. - Strong hands-on experience in software development, with the ability to build tools, systems, integrations, or automation that solve real product challenges. - Experience working closely with design teams and Figma workflows, including reviewing designs, prototypes, component systems, and user journeys before implementation. - Experience validating or testing Figma designs for quality, scalability, localisation readiness, and implementation feasibility. - Practical understanding of localisation and internationalisation principles in digital products. - Experience with localisation quality or testing across multilingual products, platforms, or regions. - Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, or Java. - Hands-on experience building or experimenting with AI agents, plugins, copilots, or intelligent workflow tools. - Experience with APIs, structured data, system integrations, and modern software development practices. - Familiarity with developer collaboration tools such as GitHub, JIRA, and Confluence. - Strong understanding of product development lifecycle, Agile methodologies, and cross-functional delivery models. Soft Skills Excellent written and verbal communication skills. Strong product thinking and problem-solving ability. Comfortable operating across design, engineering, product, and localisation domains. Self-motivated, adaptable, and effective in a fast-paced environment. Strong organisational and stakeholder management skills. Desired qualifications Experience with Figma design systems, component libraries, and design-to-development workflows. Experience creating or contributing to Figma plugins, design validation tools, or workflow extensions. Experience building AI agents, assistants, or plugins for design, engineering, content, or localisation use cases. Experience influencing product quality earlier in the lifecycle through design review and engineering collaboration. Familiarity with multilingual product development, translation workflows, or international launch readiness. Experience in video games, consumer technology, digital entertainment, or large-scale product environments. Fluency in one or more non-English languages is a plus. What We Offer The opportunity to shape next-generation quality, localisation, and design-to-development practices. A dynamic and inclusive workplace where technical excellence, collaboration, and global impact thrive. Competitive compensation, performance bonuses, and comprehensive benefits. Career growth opportunities in a forward-looking engineering environment focused on quality, localisation, automation, intelligent systems, and early product excellence. 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 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: United Kingdom (Hybrid); United Kingdom (Remote); Spain; Netherlands Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 Meet the team 👥 Here at Cleo, we have ~45 ML engineers ✨ They are the builders behind the AI that powers our product. They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all.   About the role ✍️ We're hiring a Machine Learning Tech Lead to take on technical leadership and ownership of the Payments Intelligence team, managing a team of circa 4 MLEs. This team is responsible for optimising Cleo's payments systems - covering both credit collections and subscription retention - a workstream with a direct impact on the company's financial performance. You'll work closely with your cross-functional squad to understand business issues, then use your ML engineering skills to deploy best-in-class models that move the bottom line. - Lead and manage a team of 4 MLEs - Deploy machine learning models into production - classifiers, payments recommendation systems, and any other model that can have impact, typically working with tabular data rather than language models - Collaborate with product managers, backend engineers, and analysts, playing an active role in planning and sequencing work for the squad - Work closely with engineers to make sure the right data is collected to build future machine learning models What we're looking for 🕵 - At least 5 years of experience in data science, ML engineering, or related roles - At least 1 year of management experience, ideally of a small team - Ability to write production-quality Python code - Experience deploying machine learning models into production - Track record in payments, pricing, risk decisioning, or other business process optimisation problems - Comfortable with complexity, and developing a holistic understanding of a system in order to propose and build solutions - A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner - Nice to have: experience with credit collections WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Hungary; Serbia; Montenegro; Portugal Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. About the Role   As a Customer Care Specialist, you will be the voice of Finom, delivering not just excellent service, but a standout, memorable customer experience. Our goal is not simply to resolve issues, but to turn moments of frustration into moments of trust, and customers into passionate advocates for Finom.   You will support customers primarily via phone, while also handling chat and email interactions as needed. You will engage with customers who may be experiencing complex or high-impact issues, and your ability to build rapport, demonstrate empathy, and take ownership will be key to your success. What you'll do: Deliver a “wow” customer experience across phone, chat, and email, consistently going above and beyond customer expectations Build strong, genuine rapport with customers, especially during challenging or sensitive situations Actively listen to understand customer needs, concerns, and the root cause of issues Communicate clearly, confidently, and empathetically, explaining situations in a way customers can easily understand Take full ownership of customer issues, acting with urgency to drive resolution as quickly as possible Proactively follow up with customers, keeping commitments and ensuring no issue is left unresolved Turn dissatisfied customers into loyal advocates through outstanding service and personal accountability Collaborate closely with internal teams to escalate, track, and resolve complex issues Accurately document customer interactions and outcomes in internal systems Contribute to continuous improvement by sharing insights and feedback from customer interactions Who You Are Native or fluent speaker in Dutch or German (written and spoken) A minimum of 6 months of customer care service experience — regardless of industry background Strong communication skills with the emotional intelligence to handle high-impact customer situations A natural sense of empathy and a genuine desire to help people Resilience and composure when dealing with complaints or difficult conversations A proactive mindset with strong follow-through — you do what you say you will do Comfort working in a fast-paced, ever-evolving scale-up environment Agile, adaptable, and energized by change Strong problem-solving skills and the confidence to take ownership Nice to have Experience in fintech, banking, payments, or financial services Previous experience in a phone-based customer support role What we offer 100% remote working. Up to 24.000 EUR Gross base salary x year - depending on experience Up to 15% monthly bonus linked to individual and team performance. Stock Option/Shares program. Usage of the company's flats in Cyprus for our work-and-swim program. Opportunity to develop your skills in a fast paste FinTech environment. B2B Contract Working Hours and Flexibility: 7-day operational support model - usually from Monday to Friday Weekend work required once per month / every 6 weeks, with advance scheduling Usually from 9:00 to 18:00 with 1 hour lunch break. At times, shift times between 07:00 and 19:00 CET Hiring process for this role: Application review Technical Online Assessment - 2 business days Phone Etiquette Test (mock call with an AI agent) - 2 business days Recruiter Call - 15 min Final Interview - 45 mins Offer What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.