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Location: London Workplace: Hybrid Why loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. We’re using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams. The impact you’ll have: As our Senior CRM Executive, you will play a key role in delivering and improving CRM campaigns and customer journeys across our channels. You’ll be close to the detail of campaign build, journey optimisation and performance, with the opportunity to grow your ownership over time. You’ll work closely with the CRM Manager, Head of CRM and wider Marketing, Product and Engineering teams to turn agreed customer opportunities and briefs into well-executed campaigns and journeys. You’ll help move us away from legacy campaign cycles by building reliable, increasingly automated lifecycle activity. We are looking for a thoughtful, high-velocity operator who can turn clear direction into accurate live journeys. Your day-to-day: - You’ll build and maintain multi-channel automated journeys using branching logic, API triggers, and real-time data, working from agreed briefs and priorities. - Identify manual bottlenecks and support the implementation of AI-assisted workflows, using tools like n8n and Claude (training will be provided). - Use Braze to identify optimisation opportunities within your journeys and help make delivery faster, more accurate, and more consistent. - Provide hands-on campaign support to the wider team in deploying campaigns. You’ll ensure accurate execution through rigorous, increasingly automated QA processes. - Work collaboratively with Marketing, Product and Engineering to deliver agreed workstreams and help create a frictionless experience from search to rebooking. - Monitor the performance of your campaigns and journeys. You’ll be comfortable using Looker to maintain reports, monitor health metrics, and surface actionable insights that support optimisation. Your skillset: - You are a reliable operator who takes ownership of your assigned campaigns and journeys from brief through deployment. You ask the right questions, flag risks early, and deliver with consistency and precision. - You can move from a clear brief to deployment rapidly, maintaining high standards and following agreed processes. - You are naturally curious and look for practical ways to improve processes, reduce manual tasks, and make delivery more efficient. - You have experience with Looker, Tableau, or SQL, and BQ and confidence using data to monitor performance. - Hands-on experience with Braze or similar. You should be comfortable with Liquid logic, audience segmentation and personalisation. - You are comfortable working with data models and propensity scores to support relevant segmentation and measure campaign impact. - The ability to work well across Marketing, Product, and Engineering teams, taking direction and communicating clearly to keep delivery on track. Desirable: - Experience supporting CRM activity across multiple international markets, including handling localisation, consent frameworks, and currency differences within automated journeys - Familiarity with n8n or similar workflow automation tools - Experience writing Liquid logic for content personalisation - Exposure to AI-assisted workflows or agentic tooling - Background in travel, marketplace, or another high-frequency transactional category The interview journey: 1. Meeting with a member of the Talent Acquisition team - 20 minutes 2. Virtual Interview with Hiring Manager 3. Final Stage interview in office presenting pre-determined task and a meeting a few stakeholders - 1 hour 30 mins Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer (L2) - for Voice Trust: helping ensure Twilio’s Voice customers have reliable voice communication with their customers that ensure their customers will answer their calls. About the job This position is needed to add to our Voice Connectivity Trust team to enable Twilio to better support our customers using Voice in their solutions. As a Software Engineer on this team you will participate in all phases of the software development life cycle which includes requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. This engineer will own, operate and maintain their teams’ services in a distributed production environment, employing Agile methodologies to continuously deliver value to customers. Responsibilities In this role, you’ll: Be an owner: Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them Wear the customer's shoes: Work closely with stakeholders to understand customer needs and, devise and deliver, simple, robust and scalable solutions Write it down: Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects and cross functional teams Be bold: Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity Draw the owl: Figure out novel ways of solving customer problems for the Voice channel Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also 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: Minimum 2+ years of hands-on experience in a large scale, distributed applications environment on JVM based technologies Experience building RESTful services, API design and event-driven architectures (Kafka, SQS) Understanding of CI/CD pipelines Hands on experience with cloud infrastructures such as AWS, GCP, OpenStack or Azure Excellent written communication skills - essential for effective AI prompting and for creating clear technical documentation (with or without AI assistance) Proven ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability Strong Java fundamentals with the ability to architect, review, and debug code whether written by you, teammates, or AI agents Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) - you should be able to describe your workflows and show examples Bachelor's degree in Computer Science or a related engineering field Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems Able to work well in a team setting and both highly motivated and motivating Desired: Experience with on-call rotations, incident response, monitoring/alerting tools (Prometheus, Datadog, Grafana) Can demonstrate how you effectively use AI to deliver value efficiently Experience scaling data tiers employing a variety of SQL/NoSQL database and caching technologies Hands on experience scaling production backend systems, with the proven ability to design and develop horizontally-scalable, resilient and performing-under-load systems Knowledge  and experience working with SIP protocol Knowledge and experience working with Stir/Shaken protocol Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote, Any, Sweden From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran + dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We’re looking for an Enterprise Account Executive to join our growing EMEA team, specifically working with customers and prospects in the Nordics. In this role, you’ll partner with leading enterprise businesses to understand their needs, deliver solutions, and build long-term relationships that drive mutual success. You’ll manage a full sales cycle, develop new opportunities, and collaborate across teams to achieve results. Fivetran has already developed a strong customer base in the region and now is the time to accelerate. If you’re motivated by creating value for customers, enjoy working in a collaborative environment, and want to make an impact at a fast-growing company, we’d love to hear from you. This is a full-time, remote role based in the UK or Ireland, with a strong preference for candidates located in the London or Dublin area. Technologies You’ll Use Salesforce Clari Gong Looker Demandware Ironclad Workday What You’ll Do Contribute to dbt/Fivetran’s growth in the enterprise segment. Learn the fundamentals of dbt/Fivetran’s technology, sales cycle, and customer base within your first 30 days. Consistently build strong pipeline by establishing relationships with prospects and clients, focused on where we can deliver business value for them Consistently achieve quarterly revenue goals while maintaining a consultative, customer-first approach. Forecast and manage your sales pipeline with accuracy. Collaborate with teammates by sharing insights, tactics, and best practices. Strategically engage with C-level executives, IT leaders, and technical users. Partner with internal stakeholders to ensure customer success at every stage. Travel to the region around twice per quarter. Skills We’re Looking For Strong relationship-building skills with customers and colleagues. Excellent pipeline generation capabilities Strategic thinker who can see the big picture and communicate it clearly. Analytical and curious; able to identify opportunities and challenges through thoughtful evaluation. Motivated and positive; you bring persistence and energy to achieving goals. Adaptable and flexible when priorities shift or conditions change. Experience selling enterprise solutions (typically 5+ years), with a record of delivering results. Bonus Skills​ Knowledge of the Nordic technology market #LI-Remote #LI-DJ2 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Tokyo Workplace: Hybrid Operating beyond the scope of conventional services or solutions engineering, Solutions Architects function as embedded technical advisors. You will manage the entire spectrum of customer outcomes, initiating with deep discovery and investigative work and culminating in the design, integration, deployment, and long-term enablement of the customer. This position sits at the intersection of analytical rigor, financial services expertise, and strategic customer partnership. You will engage directly with banks and other financial institutions to understand their operational goals, risk requirements, investigative needs, and compliance challenges, developing bespoke workflows that allow organizations to leverage Chainalysis independently. Your impact hinges on strong investigative instincts, technical proficiency, an understanding of financial crime and compliance within banking, and the ability to build trusted relationships with senior stakeholders. Japanese language fluency is required, both spoken and written. In this role, you’ll: - Own end-to-end customer engagements with banks and financial institutions, from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - Partner directly with banks and financial institutions to understand investigative, intelligence, compliance, fraud, AML, and operational objectives and translate them into actionable outcomes - Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products - Enable customers to operate solutions independently, building internal capability and embedding Chainalysis into their operational infrastructure - Act as the primary technical and domain advisor for customers, building trusted relationships through hands-on expertise and credibility - Deliver live training, demonstrations, investigative walkthroughs, and technical briefings to both technical and non-technical audiences - Support pre-sales technical engagement for complex and strategic financial services opportunities, helping customers understand what is possible and how to achieve it - Collaborate closely with Product, Engineering, Global Intelligence, and Sales to influence the roadmap and improve offerings based on customer and market intelligence - Develop and share financial services domain expertise, investigative techniques, and best practices that raise the capability of the wider team We’re looking for candidates who have: - Professional experience working directly with banks, financial institutions, or other financial services organizations - Fluency in both spoken and written Japanese - Conducted or directly supported cryptocurrency investigations, blockchain intelligence, financial crime analysis, AML, compliance, fraud, or related work in an operational environment - Strong understanding of how banks and financial institutions manage financial crime, compliance, risk, investigations, and digital asset exposure - Deep familiarity with blockchain ecosystems, including BTC, ETH, stablecoins and DeFi, and how on-chain data can be used within financial crime, compliance, risk, or investigative workflows - Delivered customer-facing technical solutions, whether investigative outputs, data products, or analytical workflows, in complex real-world environments - Built insights from large or complex datasets and communicated findings to varied audiences, from analysts to senior banking executives - Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment Required Skills: Technical Skills - Proficiency in Python and SQL for data analysis, transformation, and solution development - Experience building notebooks, dashboards, and analytical workflows - Solid understanding of data modelling, querying, and working with large datasets - Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products Financial Services & Domain Expertise - Substantive experience working with banks or financial institutions is a must - Experience in one or more relevant domains, such as AML, financial crime investigations, fraud, sanctions and compliance, risk, cybercrime, or digital asset compliance - Understanding of how banks and financial institutions operate, including their investigative workflows, regulatory environment, risk frameworks, and stakeholder structures - Ability to apply financial services and domain expertise to shape investigative approaches, solution design, and customer advisory - Strong understanding of how blockchain intelligence and digital asset data can support banking, compliance, risk, and financial crime objectives Customer & Communication Skills - Proven ability to build trusted, long-term relationships with banking and financial services customers through technical and domain credibility - Excellent communication skills, with the ability to explain complex investigative and data concepts to both technical and non-technical stakeholders - Fluent Japanese communication skills, both written and verbal - Comfortable leading customer sessions, workshops, training, and technical working groups - Experience enabling and upskilling customer teams, not just delivering outputs but building long-term customer capability - Ability to communicate effectively with senior banking, compliance, risk, AML, and financial crime stakeholders AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As an Analyst I at Checkout.com http://Checkout.com, you are the frontline defense in our mission to build a world-class financial ecosystem. This isn't just a monitoring role; it’s a high-impact position where you act as a guardian of our platform. Operating within a 24/7 shift system, you will utilize real-time data to hunt for fraudulent patterns, safeguard our customers, and ensure the integrity of every transaction that passes through our rails.   You will report to the Risk Operations Manager and serve as a subject-matter expert in card transaction monitoring. We are looking for someone who thrives under pressure, makes lightning-fast decisions based on data, and views every fraud attempt as a challenge to be solved.   What you will be doing: - Execution & Delivery Manage a standard workload of alerts and investigations with increasing independence. You are expected to deliver accurate results within strict SLAs, document outcomes consistently, and escalate workload concerns or blockers promptly to ensure seamless operations. - Problem Solving & Analysis Conduct routine analysis of transactional data to identify recurring fraud trends and anomalies. By applying established procedures and using specialized monitoring tools, you will detect well-defined problems and document findings clearly using team templates. - Communication & Collaboration Provide concise updates and case summaries to stakeholders and team members. You will work closely with your peers to ensure smooth handovers and maintain professional relationships, adjusting your approach based on feedback and team needs. - Domain Knowledge & Decision Making Apply a solid understanding of fraud monitoring tools and compliance policies to make decisions within defined parameters. You will resolve routine cases independently while seeking guidance from senior staff for complex exceptions or ambiguous issues. - Process Improvement & Projects Identify daily inefficiencies or bottlenecks and suggest small-scale improvements to your manager. Additionally, you will manage segments of small projects or initiatives, ensuring they are completed on time and to the required quality standards. SHIFT REQUIREMENTS & SCHEDULE 24/7 OPERATIONAL COVERAGE: DUE TO THE NATURE OF GLOBAL FRAUD MONITORING, THIS ROLE REQUIRES FULL PARTICIPATION IN A 24/7 SHIFT SYSTEM. YOU WILL WORK A PANAMA SHIFT MODEL (2-2-3) CONSISTING OF 12-HOUR SHIFTS, ENSURING CONTINUOUS BUSINESS CONTINUITY AND COMPREHENSIVE COVERAGE ACROSS DAYS, NIGHTS, AND WEEKENDS.   About You: - Experienced & Educated: Bachelor’s degree in finance, Economics, Mathematics, or Risk Management with at least 1 year of experience in a similar analytical or fraud-focused role. - The "Fraud Sense": You have a natural curiosity for identifying patterns. Prior experience in credit card fraud detection or the e-commerce landscape is a significant advantage. - Process-Obsessed: You hate inefficiency. You are always looking for ways to simplify workflows and automate manual tasks. - Resilient & Calm: You maintain composure during high-pressure incidents and can navigate tight deadlines without losing accuracy. - Communicator: Native or professional fluency in English is required; proficiency in French is a strong competitive plus. - Tech-Savvy: You pick up new risk monitoring tools quickly and are comfortable navigating complex internal systems. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams. What you’ll do Enable effective execution  with Quality and Speed, in partnership with the team’s Product Manager Ensure 3+ 9s availability of Dedicated infrastructure, ensuring security and automating for maximum scalability and number of tenants. Provide clear direction, meaningful feedback and foster an environment where meaningless toil gets ruthlessly automated and Devops ownership is enforced. Continuously improved owned artifacts in a direction of optimizing platforms for self-service ownership of production for feature implementers. Recruitment, onboarding and development of excellent and productive team members. Be a role model for the team: provide Proof of concepts, agentic mindset and extreme simplification of processes and removal of human toil. Show and Tell, not only Tell. Role model Incident Management best-practices, lead in fast resolutions, escalations and train and codify best practices to the whole of GitLab Data driven approach to prioritization, impact quantification and management of risk and technical debt.Able to use AI to demonstrate concepts and translate technical complexity to drive stakeholder decisions. What you’ll bring Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps A history of building and managing high-performing, accountable team cultures, including managing out when necessary Comfort driving complex projects to completion without relying on a dedicated TPM Experience leading distributed and remote teams effectively About the team The Enterprise Platform team focuses on delivering the infrastructure and operational capabilities that let large, security-conscious customers run GitLab on their own terms. Within that group, the Dedicated team builds and operates GitLab Dedicated, our single-tenant SaaS offering that gives customers full data and source code isolation, private networking, and data residency in the AWS region of their choice — all deployed and maintained by GitLab with zero infrastructure overhead for the customer. We work asynchronously across regions and partner closely with Cell Infrastructure, Security, Compliance, and the Duo Agent Platform teams to extend agentic AI capabilities and multi-cloud support into single-tenant environments without compromising isolation guarantees. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As a first-line leader directly managing a team of Outcomes Architects, you’ll own your team’s execution across workflow adoption, value realization, renewal readiness, expansion qualification, and at-risk account recovery — accountable for both the customer outcomes and the quality of execution that produces them. This isn’t a traditional Customer Success management role. The best OA Managers are coaches first: they know what great workflow discovery looks like, can review a mutual success plan and identify where value realization is breaking down, can inspect an executive business review and sharpen the value narrative, and can help an OA turn account activity into measurable customer and commercial outcomes. You’ll run an inspection cadence and cultivate a coaching culture that make consistent execution possible across the team. You’ll partner closely with Solutions Consultant leaders, Services, Support, Product, and RevOps to ensure customers move from workflow design to adoption, value realization, expansion, and renewal readiness. If you’re a builder who loves developing people as much as driving customer impact — and you want to lead a team in a post-sales motion that’s being redefined for the AI era — this is the role WHAT YOU’LL ACHIEVE - Own the Net Revenue Growth performance of your team’s book of business, accountable for both headline outcomes and the quality of execution that drives workflow adoption, value realization, renewal readiness, and expansion. - Coach OAs on the OA builder motion: AI Transformation Plans, build-beside workshops, value reviews, use-case consultations, and renewal processes. - Build and run the operating cadence for the team: metrics reviews, account support sessions, adoption and renewal-risk reviews, call coaching against the OA quality rubric, and forecast calls with senior leadership. - Hire, onboard, and certify new OAs to the GTM builder motion, driving readiness from ramp through consistent execution and managing performance with clarity when expectations are not met. - Partner closely with Solutions Consultant managers and leaders on strategy for expansion and renewal across shared accounts, ensuring clear ownership for flat and at-risk renewals. - Partner with Services leadership to identify complex implementation needs early, create clear handoffs, and ensure Services delivery accelerates workflow adoption and measurable value. - Set the standard for product, AI, and workflow fluency across the team so OAs can help customers navigate new ways of working and build durable systems in Notion. - Represent your team or region in leadership forums with clear signal on what's working, what needs investment, and where execution is breaking down - Uphold excellence by coaching to the global OA methodology, quality rubric, and activity KPIs. SKILLS YOU’LL NEED TO BRING - Frontline management experience leading customer-facing GTM teams in B2B software, ideally across Customer Success, Solutions Consulting, Technical Account Management, Professional Services, Account Management, or post-sales strategy. - Direct experience coaching teams through customer discovery, workflow design, adoption planning, value realization, renewals, expansion, or technical/workflow implementation. - Strong coaching orientation: you can review a customer call, account plan, mutual success plan, or executive value narrative and identify specifically what needs to change — not just whether the outcome was good, but why and how to improve it. - Commercial instincts at the team level: able to read account health, renewal risk, adoption depth, expansion potential, and customer sentiment, then drive urgency without micromanaging every account. - Deep customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical adoption and implementation plans. - Experience operating in a shared account ownership model with Sales, Solutions, Services, Support, or Implementation teams. - Operational rigor: you know how to build inspection cadences, coaching rituals, performance standards, and accountability systems that improve execution across a team. - Ability to develop talent from onboarding through consistent performance, including hiring to profile, setting clear expectations, coaching skill gaps, and managing performance with clarity. - Executive communication skills: able to synthesize account patterns, customer risks, team performance, and cross-functional asks into clear signal for leadership. - Technical fluency and presence as a trusted advisor. You do not need to build every workflow yourself, but you should be able to understand Notion systems, coach workflow design, and help your team troubleshoot adoption blockers. - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems. - You don’t need to be an AI expert, but you’re curious, hands-on, and willing to adopt AI tools to work smarter, coach better, and help customers deliver better outcomes. NICE TO HAVES - Experience managing in a consumption, usage-based, or product-led business where adoption signals matter as much as renewal or expansion outcomes. - Track record building high-performing frontline teams from an early stage: hiring to profile, structured onboarding, certification, coaching, and performance management. - Experience leading teams through GTM motion changes, coverage-model shifts, or evolving commercial ownership. - Experience working with flat, at-risk, or complex renewal accounts and helping teams return customers to a clear value path. - Experience partnering closely with Solutions Consulting, Sales, Services, or Implementation teams in a shared customer lifecycle model. - Familiarity with AI transformation, workflow automation, agents, or collaboration/work management software. 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: Athens Workplace: OnSite Role highlights: - Production Reliability Engineer - Location: Athens - Department: Mission Assurance & Reliability; Global Manufacturing Organisation - Reports to: Manager, Mission Assurance & Reliability - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) Why this role matters: This role is responsible for assuring the reliability and quality of ICEYE’s subassembly production line, ensuring that assemblies meet design intent, space-grade quality requirements, and operational standards. The Production Reliability Engineer works closely with AIT engineering, production technicians, and integration teams to prevent quality escapes, ensure proper operator self-verifications, and drive proactive improvements through risk-based quality assurance methods. The position reports to the Reliability & Mission Assurance team and serves as the quality assurance representative embedded in the subassembly production line. It plays a key role in maintaining product reliability, manufacturability, and compliance with space standards by implementing preventive quality practices, monitoring key metrics, and fostering a culture of quality ownership at the production level. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Oversee subassembly production activities, ensuring compliance with quality requirements, approved processes, and product specifications. - Manage and support quality-related change management activities, including impact assessments, implementation follow-up, and effectiveness verification. - Review, approve, and disposition non-conformances, ensuring timely resolution through use-as-is, rework, repair, or corrective actions as appropriate. - Lead and support corrective and preventive action (CAPA) activities, including planning, implementation, and effectiveness monitoring. - Perform and oversee final inspection activities, including visual inspections, configuration verification, and confirmation of inspection and test results. - Prepare and review Acceptance Data Packages (ADPs) to ensure completeness, accuracy, and compliance with customer and regulatory requirements. - Plan and conduct process audits, perform spot checks of newly implemented procedures, and follow up on corrective actions to verify sustained compliance. - Develop, maintain, and continuously improve inspection plans, checklists, quality requirements, and inspection procedures in collaboration with Engineering and Production teams. - Monitor production and quality performance indicators, including non-conformance trends, yields, rework, and process effectiveness, to drive continuous improvement. - Provide guidance and training to production personnel on quality requirements, inspection standards, ESD/FOD control, cleanliness, and product handling practices. - Ensure production readiness by verifying that required inspections, verifications, approvals, and quality gates are completed before manufacturing activities proceed. - Collaborate with Engineering, Production, and Quality teams to identify risks, resolve quality issues, and improve manufacturing and inspection processes. What we’re looking for Must haves: - Bachelor’s degree in Electronics, Mechatronics, or Electrical Engineering. - Hands-on experience with electronics or PCBA. - Practical experience in a high-reliability electronics production environment. - Minimum 5 years of experience in production quality assurance, manufacturing engineering, or process reliability within electronics, aerospace, or high-reliability manufacturing. - Solid understanding of subassembly production processes (gluing, soldering, assembly, and testing), process control, ESD/FOD/cleanliness requirements, and space or electronics manufacturing standards. - Familiarity with standards such as IPC-A-610 Class 3, IPC/WHMA-A-620 Class 3, J-STD-001, and quality systems (ISO 9001 / AS9100) - Proficiency in data-driven problem solving (e.g., 8D, 5 Whys), and fluency in English (written and verbal). - Strong risk-based thinking, analytical mindset, and a hands-on approach. - Demonstrated ability to train, influence, and collaborate with operators and engineers. - Ability to influence and drive results without direct authority - Structured problem-solving and analytical thinking - High ownership with a proactive, hands-on approach - Ability to manage multiple priorities in a fast-paced, evolving environment Nice to haves: - Experience with ECSS-Q-ST-20 or other space-quality assurance frameworks. - Experience performing or leading PFMEA and control plan development. - Hands-on experience implementing Lean or Six Sigma initiatives in electronics manufacturing. - Experience supporting internal or external audits (ISO, or customer). Application Process - Screening - Initial Interview - Task & Presentation - Final On-site Interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact As a Lead Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end. Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively. The team / how they connect You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions. The team is currently working on / Initially, you will focus on - Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP. - Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite. - Developing reusable automation patterns and shared templates to be used by the business - Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows. Where and how you can work At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding. Here are some of the things we are looking for - You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure. - Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini. - You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks. - A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront. - You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs. - You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication. Compensation Philosophy At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheque. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The base salary range for this role in Canada is $240,000 - $260,000 CAD. Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include: - Variable Pay: Eligibility commissions or equity based on role and performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. - Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results. This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners. The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it. Key responsibilities Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content Represent the team's work in external communications including model cards, blog posts, and policy documents Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Experience managing a technical team, including hiring, coaching, and performance management A record of setting technical direction for a team and making prioritization calls under uncertainty Proficiency in Python, with a background in scientific programming and data analysis A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Clear analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field Preferred qualifications 3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Experience leading complex technical projects across multiple stakeholder groups 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: $405,000 — $485,000 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.

Location: San Francisco, CA | New York City, NY | 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 a Safeguards Enforcement Lead on the User Well-Being team, you will be responsible for managing our child safety, mental health, abuse and exploitation, and age assurance enforcement workflows. This will include managing the team responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to these harms. This is a management role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities Manage a team of individual contributors across multiple policy areas under the User Well-Being banner Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications Experience managing teams in the User Well-Being space Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, mental health, abuse and exploitation, and age assurance harm areas Experience managing or coordinating content review operations, including quality assurance and workflow management Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams Understanding of the challenges involved in implementing product policies at scale in the content moderation space Preferred qualifications Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), online child protection, mental wellness, and age assurance Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate abusive content Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material Proficiency in Python for workflow automation or data analysis Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection Familiarity with age assurance technologies and their role in child safety enforcement 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: $285,000 — $330,000 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.

Location: San Francisco, CA | New York City, NY | 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 a Safeguards Enforcement Analyst focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm Proficiency in Python for data analysis and workflow automation Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization Familiarity with cross-platform threat analysis and OSINT techniques 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: $245,000 — $330,000 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.

Location: India; Singapore ClickHouse is on a mission to grow a vibrant user community and establish ourselves as a cloud-first company. We are seeking an experienced Solutions Architect Leader to continue to build, lead, and scale our Solutions Architecture function across India/ASEAN. This is a pivotal role for someone who thrives at the intersection of technical leadership, customer impact, and team development. Joining at an exciting stage following the general availability of our serverless ClickHouse Cloud product, you will play a key role in shaping how ClickHouse is positioned, adopted, and scaled across the region. You will lead a growing team of Solutions Architects while remaining close to customers, partners, and the field. What You'll Be Doing - Lead, mentor, and scale the India & ASEAN Solutions Architecture team, setting technical standards, best practices, and a strong customer-first culture. - Partner closely with Sales, Product, and Engineering leadership to drive successful outcomes across enterprise and commercial customers. - Serve as a senior technical advisor to customers, engaging at all levels from C-suite stakeholders to architects, data engineers, and developers. - Translate complex business and technical requirements into scalable, cloud-native solution designs, including architecture, migrations, workflows, and data visualisation. - Guide and support high-impact proofs of concept (POCs) and reference architectures that accelerate adoption and expansion. - Evangelise ClickHouse's vision, architecture, and value proposition across the APJ market, including participation in executive briefings, events, and community initiatives. - Drive regional initiatives that help customers transform raw data into actionable insights aligned with clear business outcomes. - Provide feedback from the field to inform product strategy, roadmap priorities, and go-to-market execution. What You Bring - Significant experience in Solutions Architecture, Sales Engineering, or a similar customer-facing technical leadership role, with prior people management experience. - Strong background working with open-source software business models and cloud-first technologies. - Hands-on experience designing and supporting scalable, highly available distributed systems. - Proven ability to balance strategic leadership with hands-on technical engagement when needed. - Excellent communication and stakeholder management skills, with the ability to bridge business goals and technical solutions. - Experience operating in fast-growing, high-change environments and building teams from early stages. Bonus Points For - Experience deploying applications or selling into environments with major cloud providers (AWS, GCP, Azure). - Familiarity with database technologies, data modeling, and analytical workloads. - Prior experience supporting multiple countries or regions within APJ. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Sweden - Remote Workplace: remote We have an exciting opportunity for experienced software sales executives to join our dynamic and growing sales team!  We are actively interviewing candidates in the Frankfurt, Germany or Nothern Germany area for our Account Executive role.   Azul offers lucrative, uncapped commission potential!  Our top sales professionals have been earning $1M in the past several years.   This is an individual-contributor, quota-carrying role. What You’ll Do (aka Responsibilities) Cultivate relationships and engage with new and existing clients to sell our Enterprise Products: Azul Platform Core and Azul Platform Prime Prospect and work closely with Lead Development Reps to foster new opportunities Build a 3X quota pipeline Consistently close business on a monthly and quarterly basis Win competitive deals working closely with our Sales Engineer What You’ll Bring (aka Experience, Skills Education) Experience and Education 10+ years proven experience in new business sales Sales experience in Cloud, Security, Java, DevOps, Java frameworks, APM, Systems Monitoring, OSS Demonstrated success across different product categories and industry verticals Small to medium sized companies, preferred Experience working with Channel Partners Undergraduate degree, or equivalent experience Skills and Competencies Exceptional communicator, influencer and presenter Demonstrated ability with Multi-Level selling Proficient in deal qualification methodologies Progressive and proactive use of industry sales tools and system What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

X-FLOW is a mobile game development company established in 2018. We gained recognition after the release of Happy Color , the most popular digital coloring book and one of the most successful ad-driven mobile apps in the world. We’re looking for a Product Manager with strong mobile product experience to own and develop product features end-to-end — from understanding the problem and shaping the solution to launch, impact analysis, and further iterations. You’ll work closely with engineering, design, QA, and analytics, with a high level of autonomy in defining how a feature should work, what should go into the MVP, and how the solution should evolve after launch. What you’ll do: Own product features end-to-end: discovery, solution design, delivery, launch, and iteration. Turn business goals and product problems into well-defined product solutions. Define user flows, states, requirements, constraints, and edge cases. Explore and compare alternative solutions based on expected impact, development effort, complexity, and time to market. Define a focused MVP and manage scope without compromising the ability to iterate further. Work closely with engineering, design, QA, analytics, and other Product Managers throughout the development process. Take technical constraints of the mobile client and backend into account when shaping solutions. Define success metrics before launch and evaluate feature performance using product data. Use data, competitor research, and product references to support decisions. Prepare clear product documentation that can be effectively used by development and QA. Manage changes, risks, and dependencies throughout delivery. Requirements: Hands-on product management experience with mobile products. Proven experience taking product features from problem definition through launch and post-launch iteration. Ability to work independently with open-ended product problems rather than relying on fully defined requirements. Strong product judgment and ability to make pragmatic trade-offs between value, scope, complexity, and speed. Good understanding of mobile development and client-backend interaction. Strong analytical skills and confidence working with product metrics. Ability to communicate effectively with technical and non-technical teams. Strong product documentation skills and structured thinking. High level of ownership and autonomy. Russian — fluent. English — Intermediate or higher. Nice to have: Experience with coloring / color-by-number, casual, puzzle, creativity / art apps, or similar mobile genres. Experience working with Flutter-based products. Experience with content-heavy products, live events, or frequent product experimentation. Hands-on experience with A/B testing. Experience with retention, engagement, and monetization mechanics. Familiarity with ads, subscriptions, or IAP. Technical background or previous development experience. Practical experience with RICE or similar prioritization frameworks. What We Offer: Competitive salary and benefits package. Opportunity to work with a talented and passionate team in a creative and dynamic environment. Flexible working hours and remote/office work options. Career growth and professional development opportunities. A fun and inclusive company culture that celebrates diversity and creativity. Join us and let’s create great content together! When you apply for this role, we process your personal data in accordance with our Candidate Privacy Notice ( https://xflowgames.com/candidate-privacy-notice ).

Location: Hyderabad, India Location: India (100% Remote / Flexible) Contract Type: Full-Time / Enterprise Project Engagement About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a high-caliber Forward Deployment Engineer (FDE) to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI. Rather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Databricks Genie), and ensure high adoption across FP&A, Controllership, Treasury, and CFO leadership. Key Responsibilities End-to-End AI Application Prototyping & Delivery Own the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement. Rapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback. Handle "last mile" execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products. Agentic Systems & LLM Engineering Build production-grade vertical AI tools leveraging Databricks Genie (Genie Spaces, semantic models). Construct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation. Implement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline. Enterprise Data & Regulated Integration Deploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP). Connect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs. Instrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one. Strategic Stakeholder Advisory & Pattern Extraction Work directly with senior Finance leadership (CFO office, FP&A, Controllership) to translate ambiguous operational friction into crisp technical roadmaps. Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment. Requirements Experience & Mindset Experience: 5+ years of hands-on software development and full-stack AI application deployment. Product-Shaped Builder: Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4. Ambiguity Tolerance: Proven ability to navigate vague business problems without predefined specifications. Stakeholder Communication: Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts. Must-Have Technical Stack Languages & Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React). AI Platforms: Direct hands-on experience with Databricks Genie . LLM Engineering: Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses. Cloud & DevOps: Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.). Domain Competency (Finance Focus) Solid foundational understanding of core Finance business processes (FP&A, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital). Nice-to-Haves & Certifications Prior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Databricks, OpenAI, Anthropic). Industry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance. Experience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials). Certifications: Databricks Certified, or Azure AI Engineer Associate (AI-102). What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems. Not a non-coding Architect: This is a 100% hands-on builder role. Not a pure Backend or MLOps Engineer: You must be comfortable owning the user-facing interface and direct business interaction.

Location: Lao People's Democratic Republic Be the Voice That Makes a Difference. As a Crisis Helpline Responder, you’ll provide immediate, compassionate support to individuals experiencing distress or crisis. Your work will directly contribute to safety, stabilization, and connection to life-saving resources. This is a remote, part-time role with flexible scheduling. Local language fluency is preferred, but all qualified, mission-aligned candidates are encouraged to apply. Why This Role Matters You’ll serve as a lifeline for individuals facing suicide risk, self-harm, and acute emotional crises—making a real, immediate impact every shift. Responsibilities Respond to crisis hotline calls with empathy and professionalism Provide evidence-based crisis counseling and de-escalation support Conduct risk assessments and arrange emergency services or referrals when required Maintain accurate and confidential call documentation Develop tailored crisis management and safety plans Ensure smooth handovers between shifts Dedicate each shift exclusively to Intellect crisis support services Requirements 1–3 years of helpline experience (paid or volunteer) Proven ability to manage high-risk situations Emotional resilience and calm decision-making under pressure Fluency in Lao and English ; additional languages are a plus

Location: Lao People's Democratic Republic; Cambodia; Thailand; China Be the Voice That Makes a Difference. As a Crisis Helpline Responder, you’ll provide immediate, compassionate support to individuals experiencing distress or crisis. Your work will directly contribute to safety, stabilization, and connection to life-saving resources. This is a remote, part-time role with flexible scheduling. Local language fluency is preferred, but all qualified, mission-aligned candidates are encouraged to apply. Why This Role Matters You’ll serve as a lifeline for individuals facing suicide risk, self-harm, and acute emotional crises—making a real, immediate impact every shift. Responsibilities Respond to crisis hotline calls with empathy and professionalism Provide evidence-based crisis counseling and de-escalation support Conduct risk assessments and arrange emergency services or referrals when required Maintain accurate and confidential call documentation Develop tailored crisis management and safety plans Ensure smooth handovers between shifts Dedicate each shift exclusively to Intellect crisis support services Requirements 1–3 years of helpline experience (paid or volunteer) Proven ability to manage high-risk situations Emotional resilience and calm decision-making under pressure Fluency in Lao; additional languages are a plus