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Location: US - Culver City, California, United States; US - United States Scopely is looking for a QA Manager, Live Operations to join our team on a soon-to-be announced AAA mobile game title. This role can be remote in the US and Canada, or hybrid in Culver City. At Scopely, we care deeply about what we do and strive to inspire play every day—whether through our work alongside talented colleagues or through our deep connections with our global player communities. We are a team of game lovers developing, publishing, and innovating within the mobile games industry, connecting millions of players around the world every day. What You Will Do The QA Manager will lead and develop a distributed QA team while driving scalable quality practices, release excellence, and cross-functional collaboration to deliver high-quality live game experiences for our game community. Manage, mentor, and support the growth and development of a talented QA team Build on existing team metrics to measure product quality and operational excellence Advocate for quality and serve as a spokesperson for continuous improvement initiatives Clearly communicate issues, risks, concerns, and successes to stakeholders, partners, and executives Foster strong collaboration across internal and external development, QA, and localization teams Partner with team leads to create effective plans, assignments, and schedules for all quality-related activities Continuously evaluate and improve QA, release, and deployment processes Champion QA and release excellence across the organization Help establish scalable quality practices that support the continued growth of the title Partner closely with engineering, live operations, marketing, and customer support teams What We’re Looking For 5+ years of professional experience in quality assurance 2+ years of management experience across the full game development lifecycle Proven experience working on a live mobile game with a large and active player base Deep understanding of QA methodologies, frameworks, and industry best practices Demonstrated ability to drive change and influence teams toward exceptional product quality Experience embedding QA practices within multidisciplinary development teams Experience in live operations and partnering with Marketing, Customer Service, and Live Support Experience building and leading distributed or remote teams Strong knowledge of software testing, QA processes, software development, change management, and process improvement Proficiency with bug-tracking systems and test-plan management tools Strong communication, organization, and stakeholder-management skills Bonus Points Experience working in mobile free-to-play or core gaming environments Familiarity with release management, automation, and quality metrics For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $98,600 — $145,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Ми шукаємо фахівця спеціаліста до Device підрозділу на позицію Project Manager.   Підрозділ Device розробляє пристрої безпеки та автоматизації Ajax — від концепту до сертифікації. Команда об’єднує Embedded, Hardware та Mechanical інженерів, які працють над створенням енергоефективних рішень на базі сучасних мікроконтроллерів. Дивізіон фокусується на масштабованості виробництва (DFM) та стабільності радіозв'язку, перетворюючи складні інженерні виклики на масовий продукт світового рівня. Завдання: Вести кілька R&D-проєктів: планувати етапи, терміни та контролювати їх виконання. Формувати й уточнювати вимоги до продукту разом із технічними та бізнес-командами. Координувати роботу Hardware, Firmware, QA, Design та Production/NPI команд. Визначати пріоритети, ставити задачі та контролювати їх виконання. Виявляти ризики, блокери та bottlenecks, знаходити шляхи їх вирішення. Вести проєктну документацію та підтримувати її актуальність у Jira / Confluence. Взаємодіяти з лідерами суміжних команд, виробництвом, закупівлями та іншими стейкхолдерами. Необхідні навички та знання: 3+ роки досвіду в Project Management, бажано у продуктовій компанії та/або R&D. Досвід ведення технічних / інженерних проєктів буде великою перевагою. Розуміння основних принципів Project Management та вміння застосовувати їх на практиці. Досвід роботи з Jira, Confluence або аналогічними інструментами. Здатність працювати з великою кількістю інформації, залежностей та паралельних задач. Вміння бачити ризики й проблеми заздалегідь, а не лише реагувати на них після виникнення. Сильні комунікаційні навички: вміння домовлятися, фасилітувати взаємодію та доносити цілі до команди. Лідерська позиція та здатність драйвити команду без мікроменеджменту. Буде плюсом: Досвід роботи з Hardware / Embedded / IoT / Electronics / R&D продуктами. Загальне розуміння циклу розробки електронних пристроїв, від вимог і прототипу до тестування та серійного виробництва. Базове розуміння електроніки, радіозв’язку або wireless-технологій. Досвід взаємодії з Hardware та Firmware командами. Технічна освіта. Досвід роботи з NPI, виробництвом, закупівлями або сертифікацією продуктів. Інтерес до електроніки та технологічних продуктів. Пропонуємо: Можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво; Місце у стрімко зростаючій компанії з вмотивованою професійною командою; Конкурентну заробітну плату; Медичне страхування; Корпоративні заняття з англійської мови; Можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax; Знижки від компаній-партнерів; Знижки на продукти компанії. Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role - Solutions Engineer for Financial Services Neo4j is the world’s leading graph database, and our Solutions Engineering (PreSales) team plays a pivotal role in helping customers unlock its potential every day. Neo4j has established itself as a premier data and AI platform for enterprise use cases across Knowledge Graphs, Network & Grid Topology, Root-Cause & Impact Analysis, Fraud & AML, Customer 360, Asset Intelligence, and modern AI workloads including GenAI, LLM-driven applications, and emerging Agentic AI architectures. As part of Neo4j’s Solutions Engineering (PreSales) organization, you will work directly with strategic and enterprise Financial Sector customers. You’ll provide technical and architectural leadership, helping customers design Neo4j-powered solutions that deliver measurable business value. The role of a Solutions Engineer (PreSales) encompasses a broad range of responsibilities, starting with understanding a customer’s unique requirements and environment. You’ll translate these into tailored solution architectures that incorporate Neo4j’s advanced graph technology, guiding stakeholders throughout the sales cycle. Daily work includes demonstrating Neo4j’s capabilities, whiteboarding solution designs, and engaging with technical decision-makers to align solutions with their strategic priorities. You’ll bridge the gap between business and technology, combining technical strength with the ability to articulate clear value and outcomes. Main Responsibilities Act as a central player in Neo4j Solution Engineering engagements, supporting customers across the entire customer lifecycle — from early discovery to architecture design, proof-of-value, and long-term adoption. Build and nurture strong relationships with strategic and enterprise customer teams. Partner closely with Account Executives to communicate the technical and business impact of graph solutions. Ensure strong technical alignment and smooth integration of Neo4j into customer environments. Provide architectural recommendations aligned with customer strategies and IT landscapes. Design and present Neo4j-based prototypes that demonstrate both technical feasibility and business value. Key Role Characteristics Experience: At least 5 years in PreSales / Solutions Engineering or Professional Services, ideally with enterprise customers in Financial Services. Database Expertise: Strong understanding of database platforms, particularly NoSQL. Knowledge of GenAI, LLM architectures, RAG, or Agentic AI frameworks. Solution Design: Ability to translate business requirements into effective solution architectures. Technical Proficiency: Familiarity with a programming or scripting language (Java, Python, JavaScript, etc.). Consultative Skills: Proven experience guiding technical teams through complex, consultative engagements. Adaptability: Strong desire to learn and quickly adopt emerging technologies. Problem-Solving: Passion for tackling complex technical challenges with innovative solutions. Enablement: Ability to lead technical workshops and small-group sessions. Sales Alignment: Comfortable managing the technical aspects of enterprise sales cycles. Beneficial Qualifications Hands-on experience with graph technologies (Neo4j, Cypher, GDS, GraphQL). Experience with vector search, embeddings, or semantic retrieval. Background in graph data science, network analysis, or ML pipelines. ETL, data integration, or data virtualization expertise. Familiarity with complex enterprise IT environments. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Germany Workplace: Hybrid FORWARD DEPLOYED ENGINEER, (F/M/X) GERMANY - HYBRID THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Fluent German (C2) and English - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. If this sounds like the kind of work you want to do, we should talk. Apply here. Everyone will receive a response. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team The Compliance function at OKX is responsible for promoting a strong compliance culture and supporting the business in meeting its regulatory obligations and managing enterprise risk. The Product Compliance team is responsible for embedding compliance into the product lifecycle and supporting the compliant development, launch and ongoing operation of OKX products and features globally across all markets in which our products and services are offered. We work closely with Product, Engineering, Legal, Risk, Central Compliance and local Compliance teams to identify regulatory and compliance requirements, assess product risks and develop practical solutions that support responsible commercial growth. About the Opportunity We are seeking an experienced, hands-on and commercially minded Senior Compliance Manager to join our Product Compliance team. This is a senior individual-contributor role focused primarily on the day-to-day review of new products, material product changes and existing product enhancements. The emphasis is on delivering timely, well-reasoned product compliance assessments using a risk-based approach, ensuring that material compliance risks are sufficiently mitigated and the firm’s regulatory positioning protected. You will act as a trusted compliance partner throughout the product development lifecycle, helping Product and Engineering teams navigate complex regulatory requirements while enabling commercially viable outcomes. You will be expected to distinguish between legal or regulatory constraints that cannot be crossed, risks that can be addressed through proportionate controls, and residual risks that require documented escalation or risk acceptance. What You’ll Be Doing Own and deliver day-to-day compliance reviews of new products, features, market expansions and material changes to existing products across OKX's global business and product suite. Review product requirements, technical documentation, user journeys, onboarding flows, trading or transaction mechanics, reward structures, disclosures and operational processes. Apply a risk-based waterfall that distinguishes hard legal or regulatory blockers from risks that may be addressed through controls, product conditions, jurisdictional restrictions, monitoring or escalation. Conduct and document product compliance risk assessments covering areas such as regulatory perimeter and licensing, AML/CFT, sanctions, KYC, consumer protection, financial promotions, trading and market conduct, asset safeguarding, data privacy and third-party risk. Produce clear, concise and evidence-based and solutions-based compliance recommendations setting out identified risks, required mitigants, residual exposure and the proposed approval or escalation route. Work directly with Product, Engineering, Legal, Risk, Central Compliance and local Compliance teams to develop practical and scalable solutions to identified compliance requirements. Maintain complete and accurate documentation and audit trails for product reviews, decisions, conditions, exceptions, approvals and subsequent changes. Support post-launch monitoring, control testing and assurance in partnership with Audit, Product and other Compliance teams, and drive remediation of identified issues. Promote a compliance-by-design culture within the product lifecycle; communicate the Product Compliance framework and program requirements to relevant stakeholders and deliver targeted training or guidance to Product, Engineering and business teams as required. Support special projects and priority product launches in a fast-paced and continually evolving environment. What We Look For In You At least 8 years of relevant experience in Compliance, Legal or Risk within financial services, fintech, payments or the cryptocurrency industry. Bachelor's degree in law, finance, business, economics, engineering or a related field, or equivalent practical experience. Significant hands-on experience in product compliance, regulatory advisory or product risk assessment, including advising on new products and material product changes. Strong understanding of the digital-asset industry and the products offered by crypto platforms, including trading, custody, payments, staking or earn products, lending, structured products, wallets or DeFi. Strong working knowledge of relevant regulatory and compliance requirements, including licensing and regulatory-perimeter considerations, AML/CFT, sanctions, KYC, consumer protection, financial promotions and trading or market-conduct requirements. Demonstrated ability to analyze products or initiatives involving significant complexity and risk and translate regulatory requirements into practical product requirements and controls. Experience in and demonstrated success in leveraging AI-enabled technology to maintain risk assessment standards, including ongoing tuning of agentic skills aligned with the Company’s risk appetite. Excellent risk judgment and the ability to balance compliance rigor with a pragmatic, risk-based approach that supports responsible commercial outcomes. Proven ability to develop and deliver repeatable product compliance solutions, controls and review processes aligned with broader group requirements. Strong project-management and execution skills, including the ability to manage multiple concurrent reviews, maintain accurate documentation and meet product-launch deadlines. Excellent written and verbal communication skills, with the ability to present clear recommendations and lead discussions with Product, Engineering, Legal, Risk, senior management and other Compliance stakeholders. Strong stakeholder-management skills and the ability to influence product decisions and constructively challenge proposals without compromising Compliance rigor. Self-motivated, proactive and comfortable operating independently within a fast-paced, globally dispersed team. High personal integrity and sound professional judgment, including the ability to identify when an issue requires escalation. Nice to Haves Direct product compliance or regulatory advisory experience at a crypto exchange, fintech or technology-led financial-services company. Experience supporting multi-jurisdictional product launches and applying regulatory requirements across the United States, European Union, Middle East or Asia-Pacific. Practical knowledge of CeFi trading products, including spot, derivatives, leverage, custody, institutional products and OTC flows. Familiarity with Web3 products, blockchain technology, smart contracts, DeFi protocols and digital-asset transaction flows. Experience developing compliance risk-assessment frameworks, controls, and key risk indicators. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Sydney ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY   As a AI Deployment Strategist, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes.   You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives.   WHAT YOU WILL DO   Strategic Advisory & C-Suite Partnership • Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO). • Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy. • Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform.   Presales: Shaping the Vision • Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation. • Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value. • Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted.   Postsales: Driving Deployment & Adoption • Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows. • Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results. • Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success.   Commercial Growth & Thought Leadership • Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth. • Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement. • Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions.     ABOUT YOU   • You have 8+ years of experience in technical management consulting, enterprise technology, or a customer-facing strategic role, with a focus on AI/ML, data architecture, or digital transformation. • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You possess a deep, practical expertise in AI/ML concepts, enterprise data architecture, and modern software development with hands-on development of AI solutions—enough to credibly engage with technical teams and executives alike. • You have a proven track record of engaging and influencing C-suite executives, with the ability to navigate complex conversations and align AI strategies with business objectives. • You excel at structuring ambiguous problems into actionable programs and thrive in fast-paced, high-stakes environments. • You are equally comfortable in presales and postsales: shaping deals, designing solutions, and ensuring their successful deployment. • You have experience managing high-value accounts, understanding deal mechanics, and building compelling cases for investment. • You are a collaborative leader who can motivate cross-functional teams and drive results through influence, not authority. • You are open to frequent travel as the role demands   We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.     HIRING PROCESS   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE You will be a front-line manager to a group of Account Executives (AEs) who will be hunting, pitching, and closing new business for Ramp. You will be responsible for 1:1 coaching, mentoring, and strategy development, working closely with leaders across Sales, Marketing, Product, and the executive team to drive positive outcomes for this segment. As a key member of the sales leadership team, you will have the opportunity to help build and refine Ramp’s sales development motion. WHAT YOU'LL DO - Manage, develop and execute career development and leadership plan for a group of Account Executives and provide daily 1:1 mentoring and coaching - Set and maintain a high-performing culture and morale by overseeing the daily activities and quota performance management of individual AEs to ensure key performance metrics are met - Hire and train new AEs on Ramp’s product, buyer personas, competition, and tools through various methods (ie. role-plays) - Strategize with sales and marketing counterparts on pipeline and prospecting initiatives to meet company objectives - Build dashboards and report on customer and team performance and forecast to senior leadership - Improve team output and efficiency over time by optimizing systems and processes - Build and execute on pipeline with new clients and partners to run the end-to-end sales process - Establish a library of playbook resources for the AE team - Partner with Ops to create and polish existing metrics that evaluate the individual and team’s performance - Represent the AE team cross-functionally with leaders of other departments WHAT YOU’LL NEED - Minimum 5 years of quota carrying sales experience as an individual contributor - Minimum 3 years of experience building and leading successful, high-performing sales teams - Demonstrated success in fast-paced, results-oriented GTM environments, ideally at SaaS companies, and history of consistently performing above quota in an outbound sales environment - Passion and excitement for hiring, with a thoughtful approach to team planning and development - Experience working cross-functionally to build successful top of the funnel activities to drive more pipeline; Strong collaboration and influencing skills demonstrated through excellent communication and presentation skills - Ability to articulate contractual, technical, and financial value points to customers, including executive leaders - Proficiency in data analytics tools (ie. Salesforce, Looker, and Excel) and familiarity with email and call automation platforms - Ability to leverage data to drive decisions, create systems, and identify process improvements to improve efficiency NICE TO HAVES - Experience with financial services sales in a full-cycle sales role - Financial services or Fintech experience at a high-growth startup BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers.   Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them.   This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office.   WHAT YOU'LL DO - Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API. - Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters. - Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down. - Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality. - Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters. - Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. - Mentor senior and staff engineers, and raise the bar for how the whole org builds.   WHAT YOU HAVE - 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above. - Depth in full stack, backend, or agents/AI — and enough range to be useful outside it. - Experience building scalable, extensible systems that support multiple product lines. - Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail. - Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs. - You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short. - A history of influencing and aligning engineers and leaders well outside your direct scope. - Strong programming skills and general Computer Science knowledge. - Grit — experience working at early-stage startups is a plus.   COMPENSATION $231,000 – $340,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-PM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them. This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office. WHAT YOU'LL DO - Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API. - Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters. - Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down. - Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality. - Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters. - Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. - Mentor senior and staff engineers, and raise the bar for how the whole org builds. WHAT YOU HAVE - 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above. - Depth in full stack, backend, or agents/AI — and enough range to be useful outside it. - Experience building scalable, extensible systems that support multiple product lines. - Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail. - Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs. - You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short. - A history of influencing and aligning engineers and leaders well outside your direct scope. - Strong programming skills and general Computer Science knowledge. - Grit — experience working at early-stage startups is a plus. COMPENSATION $231,000 – $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-PM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Platform Engineer (AI & Automation) at OnePay, you are the technical force responsible for transforming AI strategy into production reality. You will embed within cross-functional teams to design, build, and deploy the agentic systems and intelligent tooling that automate complex workflows and 10X their impact. WHAT YOU’LL DO - Operate as an AI-native engineer, utilizing tools like Cursor and Claude Code to rapidly prototype, deploy, and ship production-grade AI agents and automation workflows that solve high-stakes business problems in cross-functional organizations. - Lead structured discovery sessions with business stakeholders and Subject Matter Experts to surface requirements, assess feasibility, and translate manual processes into clear, performant technical specifications and agentic architectures. - Build, maintain, and secure robust integrations between the core SaaS stack and custom AI services, instrumenting monitoring, guardrails, and evaluation frameworks to ensure all AI-driven workflows are accurate, compliant (including PII handling and audit logging), and resilient at scale. - Act as a technical force multiplier by empowering and educating internal partners to adopt AI-first mindsets, and create reusable playbooks, architecture decision records, and handoff documentation to enable teams to maintain and extend what you build. YOU BRING - 5+ years of professional engineering experience shipping production code to write clean, maintainable, and well-tested code. - Hands-on expertise with modern AI tooling, including LLM APIs, agent frameworks (LangGraph, Claude SDK), developer tools (Cursor/Claude Code), MCP server development, and familiarity with LLM evaluation techniques (prompt regression testing, human-in-the-loop review, and automated eval pipelines). - Systems integration experience, including a working knowledge of REST APIs, data pipelines (SQL), and cloud infrastructure (GCP/AWS). - A "Product Mindset"—proactively finding friction points, designing solutions, and presenting trade-offs to all audiences—along with the drive and proactivity to "walk across org lines" to get things done. TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Principal Solutions Engineer, Acceleration, you’ll help define how 1Password brings emerging technologies to market. Working across Product Management, Product Marketing, Enablement, Engineering, Sales, Customer Success, and strategic customers, you’ll validate new capabilities, shape product direction through field feedback, and turn what works into repeatable customer-facing motions. Your work will help customers adopt innovations that strengthen secure access for people, machines, and artificial intelligence (AI) agents while advancing 1Password’s mission to make secure access simpler. Reporting to the Vice President, Global Solutions Engineering, this remote role is open to candidates in the United States or Canada and may involve up to 30% travel. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Canada and the US. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - 8+ years of experience in customer-facing technical roles within enterprise Business-to-Business Software as a Service (B2B SaaS), including leading initiatives beyond an individual sales territory. - A track record of translating emerging technologies into customer value, repeatable field motions, and clear recommendations that shape product or go-to-market direction. - Experience partnering effectively with Product Management, Engineering, Product Marketing, and other cross-functional teams to validate capabilities and incorporate customer feedback. - Strong executive communication, storytelling, and presentation skills, with the ability to influence audiences ranging from technical practitioners to senior executives, analysts, and strategic partners. - Deep knowledge of modern identity architectures and developer or AI-powered workflows, including Open Authorization (OAuth), OpenID Connect (OIDC), System for Cross-domain Identity Management (SCIM), application programming interfaces (APIs), Model Context Protocol (MCP), continuous integration and continuous delivery (CI/CD), infrastructure automation, AI agents, and modern cloud platforms. - Experience with Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identify Pain, Champion, and Competition (MEDDPICC), or a similar enterprise sales methodology, along with the ability to work autonomously and influence without direct authority. Bonus points for: - Experience with private previews, beta programs, or early-stage products; technical enablement and customer-facing content; or domains such as Artificial Intelligence Security (AI Security), Developer Security, Privileged Access, Software as a Service (SaaS) Manager, or Unified Access Management is preferred. - A track record of public speaking, technical writing, podcasts, analyst engagements, or other forms of technical thought leadership is also valued. What you can expect: - Lead technical validation for emerging products, strategic initiatives, and incubating technologies from early development through general availability. - Partner with Product Management, Product Marketing, and Engineering to shape product direction and turn field feedback into actionable recommendations. - Build repeatable discovery frameworks, demonstrations, technical messaging, reference architectures, and implementation guidance for the global Solutions Engineering organization. - Design and deliver technical enablement, including workshops, labs, certifications, and playbooks that help Solutions Engineers confidently support new capabilities. - Lead strategic customer engagements, private previews, beta programs, and early-adopter initiatives, providing executive-level technical guidance and influencing customer outcomes. - Identify emerging market opportunities and represent 1Password through executive briefings, conferences, webinars, podcasts, customer events, and industry content. - Mentor Solutions Engineers and lead cross-functional initiatives that accelerate adoption, strengthen technical excellence, and scale what works across the organization. USA-based roles only: The annual base salary for this role is between $171,000 USD and $248,000 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $170,000 CAD and $247,000 CAD, and is commission-eligible. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Vancouver, BC At Asana, security is foundational to our mission of helping teams work together effortlessly. Our Security organization protects Asana’s employees, users, and customers by proactively addressing threats, enabling secure product development, and embedding security into the fabric of how we operate. We partner closely with Engineering, Product, IT, Legal, and Compliance to build and maintain trust at scale. As a Security Technical Program Manager, you'll be the connective tissue across the entire Security organization, driving the strategy, programs, and operational rhythms that make the team highly effective and externally visible. This is a high-impact, high-autonomy role. You'll define how Security as a function operates: how it plans, how it measures itself, how it communicates progress, and how it executes on its biggest bets. You won't just run programs, you'll shape the operating model that makes all programs run better. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead high-impact, cross-functional special projects that span organizational boundaries, from standing up new security capabilities and maturity programs to company-wide strategic initiatives Own the Security organization's annual and quarterly planning cycles, translating multi-year security strategy into a prioritized, executable roadmap Drive the prioritization and communication of security asks across stakeholders, building a unified framework that influences how partner teams plan and prioritize security work Define and own the Security team's KPI framework, covering risk posture, program health, and strategic goal progress Build dashboards and reporting cadences that give leadership real-time visibility into what's working, what's at risk, and where decisions are needed Establish and continuously improve the operating cadences (All Hands meetings, program reviews, OKR check-ins) that keep the organization aligned and moving fast Act as a thought partner to security leadership on org design, process improvement, and operational scale About you 8+ years of TPM experience, with meaningful time in a security context (security engineering, GRC, product security, infra security, or similar) Strong understanding of security with the ability to engage technical teams and communicate clearly to executive stakeholders Demonstrated ability to lead large-scale, cross-functional programs from ambiguous inception through delivery Exceptional written and verbal communication, with proven ability to influence without authority at all levels Track record of operating with high autonomy — you create the structure rather than waiting for it Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between CAD $150,000-$170,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to 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 law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote Workplace: Remote Talkiatry is hiring a Staff AI Enablement Engineer to define and drive how generative AI and automation are used across our engineering organization. This is a builder's role first: you'll design and ship working automations and agents, not just write recommendations. It's also a force-multiplier role: your job is to make every engineering team faster and more capable by embedding proven AI practices, tools, and infrastructure into their day-to-day work. You'll work directly with the Engineering and Product leaders and teams to understand their workflows, tooling gaps, and pain points — then design automation, agents, and tooling that measurably reduce toil. You'll also own our engineering-wide point of view on AI coding assistants and agentic developer tools, evaluating what's real versus hype and driving thoughtful, phased adoption suited to our team's current maturity. Beyond developer-facing enablement, you'll have the opportunity to apply AI and ML directly to core business workflows, modernizing existing rules-based systems with more data-driven approaches. ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.   Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.   Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. YOU WILL: - Act as engineering's subject-matter expert on generative AI, agentic systems, and AI-assisted software development — tracking the landscape closely enough to separate durable capability from hype - Diagnose team-level workflows and pain points by meeting with every engineering team, translating findings into a prioritized backlog of AI-enabled solutions - Own the AI enablement roadmap end-to-end — propose it, get buy-in from engineering leadership, execute against it, and report on impact - Evaluate and pilot AI coding assistants and agentic tools, driving adoption decisions grounded in evidence rather than hype, calibrated to our team's size, stack, and current AI fluency - Design, build, and operate a network of specialized automation agents targeting high-friction engineering and operational workflows, on a shared architecture that lets new agents be added quickly and reliably - Instrument and measure the impact of each automation you ship (time saved, quality improvement, adoption) and iterate based on real usage - Partner with teams across the business to modernize existing rules-based or heuristic systems into more data-driven, ML-informed approaches, working closely with data and clinical stakeholders where relevant - Define lightweight adoption frameworks and guardrails (quality, security, cost, and responsible-use considerations) so new tools and agents can be rolled out safely and repeatably - Champion AI/automation best practices across engineering through documentation, demos, brown bags, and hands-on pairing with teams - Make the tradeoffs of any given AI approach (build vs. buy, cost, latency, quality, risk) legible to both engineers and leadership YOU HAVE: - 8+ years in software engineering, with a track record of shipping production systems end-to-end - Hands-on experience building with LLMs and agentic systems — prompt engineering, context/tool design, evaluation, and orchestration - Real, production-level experience with modern AI coding assistants and agentic dev tools — not just awareness of them — and a clear point of view on when and how they add value - Working knowledge of applied ML fundamentals sufficient to help move a heuristic system toward a proper ML-based approach (features, evaluation, model selection, collaborating with/acting as a data scientist) - Demonstrated ability to drive technical adoption across an engineering organization without direct authority — through credibility, clear communication, and working software, not mandates - Strong product instincts for internal tooling: you talk to your "users" (fellow engineers), prioritize ruthlessly, and ship iteratively - Excellent written and verbal communication; comfortable presenting roadmap, tradeoffs, and results to engineering leadership - Prior experience in a staff/principal-level IC role, ideally with cross-team or platform scope NICE TO HAVE: - Experience building internal AI enablement programs, developer-experience platforms, or lightweight AI governance frameworks - Experience in healthcare, healthtech, or another regulated industry - Familiarity with vector search / RAG, model evaluation frameworks, and observability for LLM-based systems - Experience with conversational AI / virtual assistant products WHY YOU'LL LOVE WORKING HERE - Meaningful mission — your work directly helps a lean engineering team spend more time on what moves the business - Shape how an entire engineering org builds with AI — real autonomy and direct access to engineering leadership - A mandate to build things that matter, not produce slideware - Impact that spans developer productivity, operations, and the broader patient experience - Competitive compensation, benefits, and remote flexibilityn WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands - It all comes back to care: we’re a mental health company, and we put our team’s well-being first Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job This role unites Security and Infrastructure under a single organizational mandate to ensure security practices align directly with rapid engineering execution and platform scalability. Flo Health protects the data of over 80 million monthly active users, holding ISO 27001 and ISO 27701 certifications alongside privacy-first features such as Anonymous Mode. The VP of Security & Infrastructure is accountable for maintaining and elevating these security, privacy, and architectural standards across the organization. We are building organisation where secure is the default path and the fast path. Core Ownership & Responsibilities 1. Security Strategy & Governance Security Stategy and Roadmap: Develop, evolve and communicate Flo’s security strategy and roadmap, promoting strong shared security ownership culture. Security Programme: Oversee all aspects of Flo’s security programme, risk management, security architecture, product security, and security operations, including embedded security engineering functions. Data Protection & Governance: Define and enforce standards for storing, protecting, and deleting personal and health data across production systems, analytics warehouses, AI model training sets, backups, and search indexes. Regulatory & Compliance Engineering: Deliver and oversee the performance of technical controls, automated evidence extraction, and ongoing compliance for ISO 27001, ISO 27701, SOC 2 Type 2, HIPAA, EU AI Act, and Cyber Resilience Act. Third-Party & Supply-Chain Risk: Establish evaluation criteria and ongoing governance controls for vendors, SDKs, and external partners accessing internal environments or data. Vulnerability Management: Oversee the management life cycle of code, third party and platform vulnerabilities, ensuring remediation paths are transparent, risk-based, and tracked to closure. Security Operations & Incident Response: Oversee detection engineering, continuous threat monitoring, and serve as the accountable executive for major incident escalations. 2. Platform & Infrastructure Engineering Cloud & Developer Infrastructure: Own GCP and AWS multi-account architecture, Kubernetes, Terraform, and developer platform delivery to drive down lead times and change failure rates. Secure SDLC: embed technical security requirements across the development lifecycle, optimising automated security controls within CI/CD pipelines, and ensuring well informed platform and product security architecture decisions drive strong protection, resilience and scalability. Corporate IT & Access Controls: Manage IT service provision, including identity, hardware devices, collaboration tools and joiner-mover-leaver lifecycle workflows through automated, self-service access controls. 3. User Identity & AI Security Product Identity & Access Management: Direct cross-functional roadmaps for user facing security services and account safety, including authentication, sessions management, and cryptography,while balancing conversion metrics with security controls. AI & Machine Actor Security: Establish governance, scoping, permissioning, appropriate security guardrails and auditing for AI-assisted engineering agents and consumer-facing AI features. 4. External Trust and Transparency Advocate for Security In FemTech: Set and continually raisethe bar as market leader, executing transparent and proactive external communications and raising Flo's security profile through external events and industry engagement. Key Qualifications & Technical Requirements Leadership Experience: Proven track record of managing combined or parallel Security and Production Infrastructure functions at consumer scale (tens of millions of active users). Product Integration: Demonstrated experience partnering with Product, Design, and Mobile/Backend Engineering teams to ship user-facing features to roadmap. Audit Track Record: Successful execution and ongoing maintenance of ISO 27001, SOC 2, HIPAA, or equivalent certification frameworks through external audits. Data Privacy Systems: Deep technical experience implementing GDPR, automated data deletion, retention policies, DPIAs, and cross-border transfer controls programmatically. AI Governance & Security: Practical implementation experience securing AI models, autonomous code/development agents, and automated permission/audit systems. Preferred Qualifications: Experience with consumer sign-in optimization, health/biometric data protection, in-house offensive security engineering, and mobile platform security. Annual Salary Range (ranges may vary based on skills and experience) £200,000 — £220,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Singapore Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role As a Founding Sales Engineer, you will be part of our fast growing Go To Market organization and will play a crucial role in expanding our business and ensuring our clients understand and utilize our technology to its full potential. Your work will have a direct impact on our bottom line and customer satisfaction Requirements: Based in Singapore Proven Sales Engineer experience in cloud, AI, or related tech fields. Exceptional presentation skills for conveying complex ideas in a compelling manner. In-depth knowledge of cloud tech, Kubernetes, and AI/ML concepts. Successful track record in building client relationships and exceeding sales goals. Excellent communication, negotiation, and problem-solving skills. Willingness to travel as needed. Fluency in scripting languages (Python, Bash, Powershell, etc.). Responsibilities : Guide sales teams with technical expertise to ensure clients grasp the value of our products. Conduct captivating product demonstrations, simplifying complex technology for diverse audiences. Customize and deliver persuasive presentations tailored to meet client needs. Evaluate client technical needs, proposing solutions and collaborating with technical teams for customization. Stay ahead of market trends, competitors, and customer needs to keep our solutions relevant and competitive. Represent Cast AI at conferences and trade shows, networking with potential clients and gathering market insights. What’s in it for you? Competitive salary. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Premium health insurance. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. #LI-Remote

Location: Chicago, New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The AML Officer - North America & Caribbean is a senior role responsible for designing, owning, and continuously strengthening Cumberland's AML/CTF and sanctions compliance programs across its U.S., Canadian, and Caribbean-domiciled entities. This position serves as the primary AML authority and point of accountability for regulatory engagement, program governance, risk assessment, and BSA/AML policy across the region. The role oversees the full lifecycle of the AML program, from policy and procedure development through program execution, regulatory reporting, and examination management, across a portfolio of entities operating under U.S. federal and state (NYDFS), Canadian (FINTRAC), British Virgin Islands (BVIFSC), and Cayman Islands (CIMA) regulatory frameworks. Th  AML Officer works closely with the Global Head of Financial Crimes, senior leadership, legal counsel, outside advisors, and regulators to ensure the firm meets its obligations and leads with a culture of compliance. Key Responsibilities Program Ownership & Governance AML Program Leadership: Serve as the senior AML authority for all North American and Caribbean entities; own the design and execution of the AML/CTF and sanctions compliance program for these entities. Policy & Procedure Authority: Develop and maintain AML/CTF and sanctions policies and procedures across all regional entities; ensure policies reflect current regulatory requirements, enforcement trends, and the firm's evolving business activities. Risk Assessment: Lead the development and annual refresh of enterprise-wide AML risk assessments; identify inherent and residual risk across customer, product, geographic, and channel dimensions; present findings and risk ratings to senior management and boards. Lead control enhancement and remediation strategy for self-identified issues. Program Governance: Establish and maintain program governance frameworks including issue management, findings tracking, escalation protocols, and management reporting; ensure open items are remediated on schedule and program gaps are surfaced proactively. Senior Management & Board Reporting: Prepare and deliver periodic AML program reports to senior management, boards, and governance committees across entities; provide clear, data-driven assessments of program health, risk posture, and remediation status. Regulatory Compliance & Examination Management Regulatory Relationship Management: Serve as the primary AML point of contact for regulators across the region, including FinCEN, NYDFS, FINTRAC, BVIFSC, and CIMA. Examination Preparation & Response: Lead preparation for regulatory examinations and internal/external audits; coordinate document production, draft cover narratives, manage examiner meetings, and oversee remediation of examination findings. Regulatory Reporting Oversight: Oversee the timely and accurate filing of required regulatory reports across jurisdictions, including SARs (FinCEN), STRs (FINTRAC), and equivalent suspicious transaction reporting obligations in BVI and Cayman; review and approve material filings. Regulatory Change Management: Monitor and assess emerging AML regulatory developments across all applicable jurisdictions; evaluate impact on the firm's program and business activities; translate regulatory changes into actionable policy and procedure updates. Jurisdictional AML Program Management United States - Federal: Maintain deep expertise in U.S. federal AML obligations under the Bank Secrecy Act (BSA), USA PATRIOT Act, FinCEN regulations, and OFAC sanctions requirements; oversee program components including CIP, CDD, EDD, transaction monitoring, SAR filing, and recordkeeping for U.S.-domiciled entities. United States - New York (NYDFS): Manage compliance with NYDFS-specific requirements applicable to Cumberland's New York licensed entity, including NYDFS Part 504 (Transaction Monitoring and Filtering Program requirements), BitLicense obligations under 23 NYCRR 200, and annual certification obligations; serve as the NYDFS AML contact and manage examination and inquiry responses. Canada (FINTRAC): Oversee AML/CTF compliance for DRW's Canadian operations under the Proceeds of Crime (Money Laundering) and Terrorist Financing Act (PCMLTFA) and FINTRAC regulations; ensure obligations are met with respect to client identification, beneficial ownership, transaction reporting, and STR filing; maintain FINTRAC registration and manage examination readiness. British Virgin Islands (BVIFSC): Oversee AML/CTF and sanctions compliance for BVI-domiciled entities under the Proceeds of Criminal Conduct Act, the Anti-Money Laundering and Terrorist Financing Code of Practice, and applicable BVIFSC guidance; manage BVIFSC relationship, examination responses, and STR obligations to the BVI Financial Intelligence Agency (FIA); ensure policies reflect 2025 BVIFSC inspection findings and updated AML/CTF/sanctions requirements. Cayman Islands (CIMA): Maintain program compliance for Cayman-domiciled entities under the Proceeds of Crime Law (PCL), Anti-Money Laundering Regulations (AMLRs), and Guidance Notes on the Prevention and Detection of Money Laundering and Terrorist Financing; ensure obligations are met with respect to customer due diligence, suspicious activity reporting to the Cayman Islands Financial Reporting Authority (CIFRA), and CIMA oversight requirements. Investigations & Financial Intelligence Escalation Authority: Serve as the final escalation point for complex or sensitive AML investigations, alert dispositions, and SAR/STR filing decisions across all regional entities; provide guidance on novel or high-risk fact patterns. SAR/STR Filing Decisions: Review and approve SAR and STR filings across jurisdictions; ensure filings are complete, accurate, timely, and appropriately documented; maintain a filing log and oversee recordkeeping obligations. Sanctions Program Oversight: Oversee OFAC and equivalent sanctions screening programs across entities; review and approve responses to potential matches; ensure screening coverage is appropriate for the firm's counterparty and transaction profiles. Blockchain Analytics Oversight: Direct the use of blockchain analytics tools (Chainalysis, TRM Labs, or equivalent) within the AML program; ensure alert thresholds, risk scoring, and investigation protocols are calibrated appropriately and reviewed periodically. Crypto Financial Crime Typologies: Maintain current, deep knowledge of financial crime typologies specific to digital asset markets; apply typology knowledge to refine the effectiveness of the program. Program Influence & Stakeholder Engagement Training Program: Develop and deliver AML training programs for compliance staff, operations, the business, and senior management; ensure training is current, jurisdiction-specific where required, and appropriately documented; track completion and maintain training records. Cross-functional Engagement: Partner with legal, operations, technology, and trading to ensure AML program requirements are understood and embedded into business workflows; provide timely, well-reasoned guidance on counterparty activity, policy questions, and escalated matter. Program Influence Without Direct Authority: Drive program outcomes and accountability across the AML function through influence, expertise, and collaborative engagement; build strong working relationships with AML analysts, operations teams, and business stakeholders to ensure program standards are consistently applied. Required Qualifications Experience: 10+ years of BSA/AML compliance experience, including at least 3-5 years in a senior AML officer, deputy officer, or equivalent leadership role at a financial institution, digital asset firm, or regulated entity. Multi-jurisdictional AML Expertise: Demonstrated, hands-on knowledge of AML/CTF regulatory frameworks across at least two of the following: U.S. federal (BSA/FinCEN/OFAC), NYDFS, Canada (FINTRAC/PCMLTFA), British Virgin Islands (BVIFSC), or Cayman Islands (CIMA); willingness and ability to rapidly develop proficiency across all five jurisdictions. Program Design & Ownership: Proven track record of designing, implementing, or materially improving an AML/CTF compliance program at regulated financial institutions; experience owning policies, risk assessments, and governance frameworks. Regulatory Engagement: Direct experience preparing for and responding to regulatory examinations, inquiries, or audits; ability to manage examiner relationships professionally and produce high-quality regulatory responses under deadline pressure. Investigations & SAR Authority: Experience serving as a SAR/STR review and approval authority; strong judgment on escalation decisions, complex alert dispositions, and novel financial crime typologies relevant to digital asset trading. Digital Assets Experience: Prior experience in a virtual currency, crypto trading, or digital asset compliance environment; familiarity with blockchain analytics tools such as Chainalysis and Elliptic and the financial crime risks unique to crypto markets. Communication & Executive Presence: Exceptional written and verbal communication skills; demonstrated ability to present complex compliance matters clearly to boards, senior executives, and regulators; experience drafting board-level compliance reports and regulatory submissions. Ability to lead and collaborate efficiently with AML and external resources. Judgment & Independence: Sound independent judgment on ambiguous regulatory questions; comfortable operating in fast-moving, high-accountability environments with limited precedent. Preferred Qualifications Regulatory Experience: Prior experience as a regulator, examiner, or compliance officer embedded in a regulatory examination process at FinCEN, NYDFS, FINTRAC, BVIFSC, CIMA, or a comparable authority. NYDFS Expertise: In-depth knowledge of NYDFS Part 504 certification requirements, BitLicense obligations, and NYDFS examination procedures; prior experience managing a NYDFS examination or enforcement matter. Caribbean Jurisdiction Experience: Hands-on experience operating an AML/CTF program under BVI (BVIFSC) or Cayman (CIMA) regulatory frameworks, including familiarity with local legislative requirements, reporting obligations, and examination practices. Canada FINTRAC Experience: Direct experience managing a FINTRAC-registered AML compliance program, including registration maintenance and FINTRAC examination readiness. Multi-entity Program Management: Experience managing AML programs simultaneously across multiple legal entities, jurisdictions, or business lines with distinct regulatory obligations and risk profiles. Sanctions Expertise: Advanced knowledge of OFAC sanctions compliance, including SDN screening, secondary sanctions considerations, and voluntary self- disclosure processes; experience with equivalent sanctions regimes (UN, EU, UK, Canada) a plus. The annual base salary range for this position is $160,000 to $215,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Machine Learning Engineer, Ranking & Retrieval ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context. Your Impact at ClickUp You'll own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first. Core Responsibilities - Train, deploy, and serve ranking models in production, owning the full ML lifecycle - Build ranker features, training pipelines, and offline evaluation frameworks - Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading) - Run embedding inference at billions-of-documents scale - Improve query understanding through intent modeling and query expansion - Build permissions-aware retrieval that respects multi-tenant boundaries - Create measurement frameworks to evaluate and improve search quality - Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform Technical Requirements - Bachelor's degree in Computer Science, Machine Learning, or related field - 5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval - Proven full ML lifecycle ownership: training, deploying, and serving models in production - Hands-on ranker model training: feature engineering, pipelines, offline evaluation - Experience building hybrid (lexical + vector) retrieval systems - Experience running embedding inference at large scale - Strong query understanding fundamentals: intent modeling, query expansion Preferred Qualifications - Permission-aware retrieval and multi-tenancy experience - Indexing large-scale user-generated content (not small or static datasets) - Hands-on experience with OpenSearch or Elasticsearch - Sharding, index management, and real-time ingestion at scale - Background in NLP, semantic search, or agentic retrieval - Experience with TypeScript in backend systems   Join Our Mission At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive! #LI-REMOTE Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.