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Location: Nairobi Workplace: OnSite ABOUT THE COMPANY Eleving Group is a publicly listed international fintech company founded in 2012. We operate across 17 countries on three continents, offering consumer, vehicle, and smartphone financing products to millions of customers worldwide. Mogo's mission is to enable upward social mobility for people in diverse communities around the world by providing entrepreneurs who are excluded from traditional banking systems with access to credit. By combining asset financing, fintech, AI-based underwriting, and proprietary car portals, we enable these local entrepreneurs (motorcycle taxi riders, Uber/Bolt drivers, and small business owners) to find and purchase their own vehicles. ABOUT THE ROLE We are looking for a Product Owner who will own the product backlog for assigned products and be the voice of the user and the business within their development teams. You will translate business strategy into a clear product roadmap, decide what gets built next and why, and measure the outcomes of what we ship — not just whether it was delivered. WHAT YOU WILL DO - Own the backlog: own, prioritise, and continuously refine the product backlog, keeping it visible and understood by the team - Set direction: translate business strategy into a product roadmap and clearly communicate the "why" behind priorities - Write user stories with clear acceptance criteria; keep specifications lean and focused, with sufficient guidance but no excessive detail - Work with your development team day-to-day: sprint planning, refinement, reviews — and be available to answer questions and make decisions quickly - Engage with end users and business stakeholders to surface needs, validate ideas, and align on strategic priorities - Validate technical feasibility with senior engineering staff before committing work to the backlog - Make value-based trade-off calls; deliberately limiting scope to maximise delivered value - Measure outcomes after release: adoption, usage, and business impact, and feed learnings back into the backlog - Use visual communication methods (sketches, flows, prototypes) rather than dense documentation WHAT YOU HAVE - Proven experience as a Product Owner or Product Manager in agile development teams, ideally within fintech, financial services, or comparable fast-paced sectors - Demonstrated ability to prioritise using data and value-based frameworks (e.g. RICE, MoSCoW, cost of delay) and to define and track product metrics and KPIs - Capacity to recognise interdependencies across features and translate them into concrete, achievable user stories - Working familiarity with user experience principles and technical architecture — enough to sketch concepts and assess implementation approaches - Hands-on experience with backlog management tools such as Jira and Confluence (or equivalent) - Strong written and verbal communication skills with a user-focused perspective on product development - Ability to move forward decisively despite incomplete data Nice to have:  - Experience with large-scale software initiatives and financial products

Location: Yerevan Workplace: OnSite HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐THE PRODUCT LEAD ROLE ⭐ The Product Lead for Armenia will drive Alan's product strategy and execution in supporting the transformation of healthcare in Armenia. This role involves leading dedicated product teams (designers, engineers) while coordinating with global product areas and a local operations team to deliver on Alan's contractual obligations and member experience goals. 📈KEY OUTCOMES📈 1. Develop and execute a product strategy that serves both the government's public health objectives and the members' experience, supporting our targets in terms of coverage rollout, member satisfaction, and operational reliability under the concession's contractual commitments. 2. Lead product crews to deliver product enhancements and new features, demonstrating effective leadership and prioritization across parallel workstreams with shared dependencies. 3. Collaborate with global product areas to ensure the Armenian system benefits from global innovations, adapting them as necessary to fit the B2G model and local healthcare context. 4. Partner with the local operations team, government relations, customer care, and the national health IT platform to align product development with operational readiness and regulatory expectations. 5. Implement data-driven decision-making processes, utilizing analytics to inform product strategy and measure the impact of product changes on member access, operational efficiency, and government trust. 6. Foster a culture of innovation and continuous improvement within the product team, encouraging experimentation and learning from both successes and failures. ⭐IS IT WHAT YOU ARE LOOKING FOR?⭐ ️ YOU MAY BE A GREAT FIT AT ALAN IF YOU HAVE: - At least 10 years of experience in a product-related role (Product Manager, Founder, Business strategy) with a track record of delivering complex systems at scale. - A history of working on software products that delight users in a fast-paced environment from ideation to release. - Proven experience in product management, ideally involving B2G, public sector, or regulated environments where the end user and the paying entity are different stakeholders. - Strong analytical and strategic thinking skills, with the ability to translate complex data into actionable product strategies under high uncertainty and political sensitivity. - Excellent leadership and communication skills, capable of leading cross-functional teams and collaborating with stakeholders ranging from engineers to government officials. - Fluent in English. Proficiency in Armenian is a strong plus. - Experience in healthcare, insurance, or government services is a plus, but not required. - (As a plus) Ability to work with distributed teams and coordinate efforts across different geographical locations. We are looking for someone who wants to build something meaningful from the ground up, with a high level of ownership and a lot of room to shape the role. We hire people, not roles. If this opportunity speaks to you, we would love to hear from you.

Требования: — Опыт работы в продуктовой компании, чей основной продукт - скрапер, парсер или агрегатор данных, понимание специфики сбора данных, работы с очередями задач, прокси, обхода антибот-систем и структурирования собранной информации. — Python на уровне Senior (более 6–7 лет коммерческой разработки) и навыки работы с AI для ускорения (используется ClodeCode). — Глубокий опыт разработки и поддержки API. — Понимание принципов работы Kubernetes и контейнеризации. Задачи: — Разработка, тестирование и интеграция API-функционала для продуктов экосистемы. — Работа с бэкенд-частью скрапинг-инфраструктуры: управление задачами парсинга, обработка и отдача собранных данных через API. — Участие в планировании архитектуры, предложение улучшений и рефакторинг. — Поддержка стабильности, мониторинг и сопровождение решений. — Взаимодействие с командами Frontend, DevOps и QA. Условия: — Зарплата от $4,000 до $5,500+ (на руки, в зависимости от глубины экспертизы). — Регулярный пересмотр дохода (раз в 6–12 месяцев). — Fully remote, гибкий график работы. — Официальный долгосрочный контракт с международной компанией (на рынке 11 лет). — Техническая команда из 20+ человек без джунов. — Отпуск 28 дней. — Возможности для самореализации и свобода в принятии технических решений. — Работа с передовыми AI-технологиями, опыт в кибербезопасности и обработке больших данных.

Location: AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role / impact Xero is building the shared platform services that will sit underneath some of our most important product and technology bets. As the Head of Product for AI Shared Services, you will lead the strategy and execution of platform areas such as Eventing, Communications, and Search among others, shaping the next generation of products and standards that teams across Xero rely on. This is a chance to turn fragmented tools and experiments into coherent, reusable capabilities, so Xeros spend less time rebuilding foundations and more time delivering value to Xero’s customers. It is a high impact, high visibility role, with plenty of scope to learn, shape, and grow. The team / how they connect This team looks after the platform foundations that power AI capabilities across Xero, working closely with Product, Engineering, Security, Infrastructure, Data and Operations. The team partners closely with product areas across the business. The team is currently working on / Initially, you will focus on - Setting the strategy for the AI Shared Services domain, alongside a roadmap for the quarters ahead - Establishing the key metrics and dashboards that will help the business track progress and success - Building relationships with stakeholders across the business - Growing adoption of shared AI capabilities across multiple product and engineering teams over time Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we are looking for - You bring strong product leadership across platform products, infrastructure, developer experience or enterprise services - Managing a portfolio of interdependent products - Technical fluency across distributed systems, eventing, communication and data platforms and cloud environments comes naturally to you - Strong commercial judgement helps you build the case for investment in shared capabilities - Leading through ambiguity, competing priorities and dependency complexity is something you handle with a level head - You have a track record of growing people and teams, and helping them see how their work connects to the bigger picture This role calls for someone ready to go bold on a space that is moving fast, breaking down ambiguity into tangible goals, and going further and together with teams across the business to build something that lasts. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

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

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE FINANCIAL SERVICES TEAM - Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity. - Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one. - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone. WHAT YOU'LL DO - Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU'LL BRING - 5-10+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience in financial services, such as banking, fintech, lending, payments, insurance, mortgages, or wealth management. - A track record of taking products from ambiguous customer problems through launch and meaningful scale. - Strong technical fluency and the ability to reason about APIs, data flows, system architecture, AI systems, integrations, and failure modes. - Exceptional product judgment, including the ability to balance customer needs, speed, reliability, risk, and long-term platform leverage. - Experience working directly with enterprise customers and communicating effectively with both executives and deeply technical teams. - A builder mindset: you prototype, investigate, and work hands-on rather than relying solely on process. - Clear, structured communication, with the ability to explain complex technical and AI concepts to diverse audiences and create alignment in fast-moving, ambiguous environments. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Redwood City, United States OR San Francisco, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU The mission of the Global Go to Market (GTM) Enablement team is to empower Box's customer-facing teams with the knowledge, skills, and tools they need to win. As our Sales Productivity Manager , you will sit at the intersection of business strategy, data-driven skill diagnostics, and modern learning design. In this role, you will translate strategic company priorities into practical, high-impact enablement programs for Box Account Executives. Leveraging seller performance data, CRM analytics, and cross-functional partnerships across Sales, Enablement, and Operations, you will build and execute skills-based curricula, world-class onboarding paths, and interactive practice labs. By integrating AI-first tools and establishing rigorous performance benchmarks, you will play a pivotal role in accelerating ramp time, increasing quota attainment, and driving sustained sales excellence across our global teams. WHAT YOU'LL DO Seller Productivity curriculum design: Design and deliver role-specific, skills-based curriculum for AEs focused on core selling competencies: discovery, qualification, demo delivery, value-based selling, objection handling, negotiation, and account planning. Design and deliver AE onboarding. Lead live training and coaching: Facilitate and deliver instructor-led workshops, virtual skill labs, bootcamps, and reinforcement sessions that emphasize practice, feedback, and behavior change. Design and administer skill assessments and proficiency checks to measure competency and guide coaching. Generate consensus: Build consensus and momentum across senior, cross-functional audiences including field leadership and sales operations to diagnose skill gaps using performance metrics, CRM data, call recordings, and seller feedback; prioritize high-impact skills. Program element creation: Create short-form learning assets to support your curriculum: recorded coaching, video role-plays, microlearning modules, practice scenarios, assessments, and facilitator guides. Program management: Establish and maintain a training cadence (onboarding, ramp, role progression support, ongoing practice cycles) and ensure consistent delivery across regions and teams managing to timelines, functional priorities, and project plans. Measure: Define KPIs for training initiatives (ramp time, skill proficiency, call-to-demo conversion, win rates where applicable) and iterate curriculum based on data. AI-First enablement: Leverage Box AI and modern generative AI tools to 10X the onboarding and sales skills building experience WHO YOU ARE 4+ years in sales enablement, sales training, or related roles in B2B SaaS with direct experience training quota-carrying sellers. Instructional design instincts: demonstrated success designing and delivering skills-focused learning that improved seller behaviors and measurable performance outcomes. Strong facilitation and coaching skills: comfortable leading live sessions and conducting role-play–based skills practice. Knowledge of sales methodologies (e.g., MEDDPICC/MEDDIC, SPIN, Challenger, Command of the Message) and ability to translate methodology into practical seller behaviors. Experience using coaching tools and sources of truth for skills diagnostics: call recording platforms, LMS, CRM (Salesforce preferred), and enablement analytics. Project and stakeholder management experience; ability to coordinate across a matrixed organization and multiple regions. Proven ability to work at AI-speed, in fast-paced, matrixed environments Excellent communication skills, both written and oral Bachelor’s degree or equivalent experience. Preferred skills Experience enabling both new business and expansion/renewal sellers. Background in adult learning, instructional design, or certification in relevant fields (ATD, CPLP). Experience running sales role-play programs, certification paths, or coach-the-coach initiatives. Facilitation, curriculum design for skills practice, behavioral assessment, and data-driven iteration. Success metrics (first 6–12 months) Shorter ramp time for new sellers (baseline set in first 30 days). Improved proficiency scores on prioritized skills. Increased conversion metrics tied to trained skills (e.g., demo-to-opportunity). High adoption and satisfaction from sellers and managers. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $121,500 — $152,000 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $121,500 — $152,000 USD

Location: Chicago, Illinois, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU The mission of the Global Go to Market (GTM) Enablement team is to empower Box's customer-facing teams with the knowledge, skills, and tools they need to win. As our Sales Productivity Manager , you will sit at the intersection of business strategy, data-driven skill diagnostics, and modern learning design. In this role, you will translate strategic company priorities into practical, high-impact enablement programs for Box Account Executives. Leveraging seller performance data, CRM analytics, and cross-functional partnerships across Sales, Enablement, and Operations, you will build and execute skills-based curricula, world-class onboarding paths, and interactive practice labs. By integrating AI-first tools and establishing rigorous performance benchmarks, you will play a pivotal role in accelerating ramp time, increasing quota attainment, and driving sustained sales excellence across our global teams. WHAT YOU'LL DO Seller Productivity curriculum design: Design and deliver role-specific, skills-based curriculum for AEs focused on core selling competencies: discovery, qualification, demo delivery, value-based selling, objection handling, negotiation, and account planning. Design and deliver AE onboarding. Lead live training and coaching: Facilitate and deliver instructor-led workshops, virtual skill labs, bootcamps, and reinforcement sessions that emphasize practice, feedback, and behavior change. Design and administer skill assessments and proficiency checks to measure competency and guide coaching. Generate consensus: Build consensus and momentum across senior, cross-functional audiences including field leadership and sales operations to diagnose skill gaps using performance metrics, CRM data, call recordings, and seller feedback; prioritize high-impact skills. Program element creation: Create short-form learning assets to support your curriculum: recorded coaching, video role-plays, microlearning modules, practice scenarios, assessments, and facilitator guides. Program management: Establish and maintain a training cadence (onboarding, ramp, role progression support, ongoing practice cycles) and ensure consistent delivery across regions and teams managing to timelines, functional priorities, and project plans. Measure: Define KPIs for training initiatives (ramp time, skill proficiency, call-to-demo conversion, win rates where applicable) and iterate curriculum based on data. AI-First enablement: Leverage Box AI and modern generative AI tools to 10X the onboarding and sales skills building experience WHO YOU ARE 4+ years in sales enablement, sales training, or related roles in B2B SaaS with direct experience training quota-carrying sellers. Instructional design instincts: demonstrated success designing and delivering skills-focused learning that improved seller behaviors and measurable performance outcomes. Strong facilitation and coaching skills: comfortable leading live sessions and conducting role-play–based skills practice. Knowledge of sales methodologies (e.g., MEDDPICC/MEDDIC, SPIN, Challenger, Command of the Message) and ability to translate methodology into practical seller behaviors. Experience using coaching tools and sources of truth for skills diagnostics: call recording platforms, LMS, CRM (Salesforce preferred), and enablement analytics. Project and stakeholder management experience; ability to coordinate across a matrixed organization and multiple regions. Proven ability to work at AI-speed, in fast-paced, matrixed environments Excellent communication skills, both written and oral Bachelor’s degree or equivalent experience. Preferred skills Experience enabling both new business and expansion/renewal sellers. Background in adult learning, instructional design, or certification in relevant fields (ATD, CPLP). Experience running sales role-play programs, certification paths, or coach-the-coach initiatives. Facilitation, curriculum design for skills practice, behavioral assessment, and data-driven iteration. Success metrics (first 6–12 months) Shorter ramp time for new sellers (baseline set in first 30 days). Improved proficiency scores on prioritized skills. Increased conversion metrics tied to trained skills (e.g., demo-to-opportunity). High adoption and satisfaction from sellers and managers. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Chicago Pay Range $109,500 — $137,000 USD

Location: New York City Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Senior Product Manager at Via, you will lead a complex, scaled portfolio of products and features that impact our end users. You will be joining Via at a time of rapid growth, impacting tens of thousands of riders per day especially those from low-income communities. This is an opportunity to shape the next generation of our mobile apps, provide intuitive and delightful experiences all while keeping our promise to our public sector customers on bettering the transit network as a whole. This includes combining various transportation modes, thoughtfully integrating into existing public transport and translating that experience across users from our public sector customers to riders and drivers. The role is one of thought leadership combined with a pragmatic eye towards building and shipping products that delight our partners. What You'll Do: Define and execute the overarching product strategy for the next-generation Rider and Driver platforms, leveraging AI and emerging technologies to expand reach across broader geographies, diverse user profiles, and multi-provider offerings. Develop scalable functionality that accommodates complex service deployments with diverse policies surrounding mobility, payments, and user communication. Convert user research and operational insights into clear product specifications by pinpointing core problems, formulating hypotheses, and defining success criteria. Analyze qualitative feedback and quantitative metrics to align stakeholders and refine product development cycles. Establish a rigorous, data-informed prioritization framework, evaluating the ROI of feature requests to effectively guide scoping decisions and roadmapping. Serve as the central liaison across cross-functional teams, including Engineering, QA, Operations, and Business, engaging in detailed, day-to-day execution. Who You Are: You are an experienced product manager, with a minimum 5+ years of experience in successful startups or large companies operating on a global scale. You have owned a broad set of products, led a product domain/line across a company, and built category-leading products. You are able to digest market research & customer feedback along with having a crisp understanding of technical requirements and constraints to paint a vision of what a great product could look like. You have a strong understanding of how AI and emerging technologies can transform product experiences, and a track record of identifying and shipping AI-powered solutions that create meaningful value for users and the business. You have demonstrated success in handling an end-to-end product lifecycle with the ability to drive product planning, development, and launch. Excellent analytical abilities and a strong business acumen. A great multitasker who thrives in a dynamic, fast-paced work environment. Pro-active and independent achiever, self-learner, able to handle a task from idea to production. Team player, with great communication/listening skills and a can-do attitude. You have a passion for public transit, mapping, SaaS and accessibility - working experience in these areas is a plus. What We Offer: Base Salary Range: $150,000 - $220,000 per year plus variable pay and equity as part of a total compensation package. Final compensation will be determined by the candidate’s experience, knowledge, and skills. Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (mental health, pet insurance, and other wellness perks) 20 days of paid time off (PTO) annually There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: New York City Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Director of Product at Via, you will lead a complex, scaled portfolio of products and features that impact our end users. You will be joining Via at a time of rapid growth,  impacting tens of thousands of riders per day especially those from low-income communities. This is an opportunity to shape the next generation of our mobile apps, provide intuitive and delightful experiences all while keeping our promise to our public sector customers on bettering the transit network as a whole. This includes combining various transportation modes, thoughtfully integrating into existing public transport and translating that experience across users from our public sector customers to riders and drivers. This role is one of thought leadership combined with a pragmatic eye towards building and shipping products that delight our partners. What You’ll Do: Define and lead the vision and strategic roadmap for our next-generation mobile platform, driving seamless and intuitive journeys for millions of riders and drivers on a single unified platform. Leverage data analytics, AI, user research, and innovative thinking to spearhead product features that deliver delightful and high-impact mobile experiences. Manage full-stack development from front-end user interfaces to back-end architecture, robust API integrations, and third-party partner connections. Actively collaborate on user-first design and interface details to ensure smooth, highly accessible, and intuitive interactions across all platforms. Assess the value relative to cost for all product requirements, efficiently scoping and descoping items as needed to optimize resource allocation. Serve as the primary liaison across Engineering, QA, Operations, and Business teams to direct cohesive, day-to-day execution. Who You Are: You are an experienced product manager, with 7-10 years of experience in successful startups or large companies operating on a global scale. You have owned a broad set of products, led a product domain/line across a company, and built category-leading products. You are able to digest market research & customer feedback along with having a crisp understanding of technical requirements and constraints to paint a vision of what a great product could look like. You have a strong understanding of how AI and emerging technologies can transform product experiences, and a track record of identifying and shipping AI-powered solutions that create meaningful value for users and the business. You have demonstrated success in handling an end-to-end product lifecycle with the ability to drive product planning, development, and launch. Excellent analytical abilities and a strong business acumen. A great multitasker who thrives in a dynamic, fast-paced work environment. Pro-active and independent achiever, self-learner, able to handle a task from idea to production. Team player, with great communication/listening skills and a can-do attitude. You have a passion for public transit, mapping, SaaS and accessibility - working experience in these areas is a plus. What We Offer: Base Salary Range: $200,000 - $300,000 per year plus variable pay and equity as part of a total compensation package. Final compensation will be determined by the candidate’s experience, knowledge, and skills. Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (mental health, pet insurance, and other wellness perks) 20 days of paid time off (PTO) annually There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Colombia; Costa Rica Workplace: remote Provectus is a Premier AWS Partner and an Anthropic partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Healthcare and Life Sciences, Retail, and Entertainment. We build custom systems on live client data, not off the shelf products and not demos. We are opening a Solution Owner seat on our Delivery team in Colombia and Costa Rica. This is an early career seat, but it is not a training seat. You will sit between the client and the engineering team on a real engagement, own a slice of scope, and be expected to figure out the next step yourself. The profile we are looking for is specific: you started technical, as a software, data, or ML engineer, and you have already moved toward the business side of building products, or you are ready to make that move now. You are the person on the team who automates their own work with AI tools before anyone asks. What You Will Do: Own a defined slice of a client engagement, from use case framing through backlog, release, and result Run discovery sessions and workshops with client stakeholders, and turn what you hear into written scope engineers can build against Translate technical constraints into business language, and business goals into technical requirements Maintain a groomed backlog with sized, technically specific stories, and drive sprint planning and release cadence Prototype rapidly on live client data using our delivery stack, including Claude, Claude Code, MCP servers, and Skills Work alongside GenAI and agentic AI builds, including RAG, agent workflows, and LLM integrations, closely enough to judge quality and explain trade offs Define success metrics for your slice of scope and report progress honestly, including when something is not working Build reusable artifacts, demos, and documentation so the next engagement starts faster than yours did Partner with Principal Architects, Forward Deployed Engineers, and account teams across US and LATAM time zones What You Will Bring: 2 to 4 years of total professional experience, including hands on engineering time as a software, data, or ML engineer At least 1 year in a product, delivery, or client facing role such as Product Owner, Technical Product Owner, Business Analyst, Delivery Lead, or equivalent Daily use of GenAI tools in your own workflow, Claude and Claude Code preferred, with concrete examples of workflows you redesigned Ability to read code and technical documentation well enough to hold a real conversation with senior engineers Practical Agile and Scrum experience: backlog, sprints, planning, retrospectives Written and spoken English at B2 or above, comfortable leading a client call without a manager in the room Self direction as a default. You are given a goal and ambiguity, not a task list, and you move anyway Based in Colombia or Costa Rica Nice to Have: Exposure to Financial Services and Insurance or Healthcare and Life Sciences clients Working understanding of GenAI concepts: prompt engineering, RAG, embeddings, vector databases, agentic patterns Familiarity with AWS, especially Bedrock, SageMaker, Lambda, or S3 Experience shipping an LLM or RAG feature that reached real users Experience building your own automations, scripts, MCP integrations, or internal tools Consulting or professional services background Certifications such as CSPO, SAFe PO/PM, or AWS Cloud Practitioner What We Offer: Real client delivery on frontier AI from month one, not shadowing Direct access to Principal Architects and Forward Deployed Engineers as your working peers Anthropic and AWS partnership work, with early access to tooling and premium AI subscriptions Internal training programs and full support for AWS and Claude certifications A clear growth path toward Senior Solution Owner or Solutions Architecture Remote work with flexible hours across US and LATAM overlap Long term B2B collaboration Equipment budget and all the tooling you need

Location: Berlin, Germany; London, United Kingdom About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Join us in shaping the experience that millions of customers land on every time they open DoorDash, Wolt, or Deliveroo. As part of our Core Consumer organisation, our Homepage team owns one of the single biggest levers we have on what customers find and one of the hardest surfaces in the app to get right. Working at the intersection of ranking, personalisation, and AI/ML, you'll help decide what each customer sees and why, across three brands and dozens of markets. You'll be building on a global stack, and your roadmap will be a mix: global platform problems that apply worldwide, global capabilities we're accelerating into EMEA, and EMEA-specific problems worth solving properly rather than working around. We're looking for a Senior Product Manager to join our Homepage team. In this role, you'll shape how customers discover restaurants, grocery and retail venues, dishes and products — and help define what discovery looks like as AI-driven and agentic experiences change the way people decide what to order. What You'll Be Doing You'll be joining a team working on one of the most-used surfaces in the app. Here's what your day-to-day might look like: Building new end-to-end features and user experiences on Homepage that shape how customers discover restaurants, grocery and retail venues, dishes, and products. Working on ranking, personalisation, and AI/ML problems in the Homepage domain, including how we decide what each customer sees and why. Exploring where AI-driven and agentic experiences change the way customers discover what to order. Making discovery work across three brands and many markets, without flattening into one-size-fits-all. What You'll Need to Thrive Our ideal candidate will bring strong product judgment and curiosity to grow into the rest: Proven experience as a Product Manager on consumer-facing products - discovery, homepage, feed, or ranking-driven experiences are especially relevant. You are a product manager more than a feature owner. Someone who finds the customer problems that matter most and makes the case for solving them. You work backwards from the customer problem, and weigh it against what the business needs most right now. You're comfortable holding several business objectives at once and making a call when they pull in different directions. You work well with a wide range of stakeholders and build trust with people whose priorities differ from your own. You think strategically and can move between long-term direction and what we should ship next. You're comfortable with ambiguity and genuinely flexible (this industry is changing fast, AI most of all). You're curious about what AI actually changes for customers, and can tell real value from hype. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. Every one of those deployments involves custom engineering: integrating with the customer's coding agents and security stack, running in their cloud or on-prem environment, and tuning monitors to their workflows. We are looking for a Forward Deployed Engineer to own that work end to end. You will be the technical face of Watcher to customers across the entire lifecycle: running technical evaluations and POCs with prospects, deploying Watcher into customer environments, building the integrations and custom capabilities they need, and providing white-glove support that turns early customers into long-term partners. You are an engineer first. When a customer needs something, your default is to build it, and then to work with the product team to decide what becomes part of the core product. This is truly a "start-up role." You will be one of the first dedicated customer-facing engineers, you will have significant say in shaping how Apollo deploys and supports Watcher, and you can earn more responsibility quickly. As we grow, this role can develop toward leading forward-deployed engineering, solutions architecture, or core product engineering, depending on your interests. KEY RESPONSIBILITIES Deployment and integration engineering (~40%) Own customer deployments end to end: cloud, on-prem, and self-hosted backends, from architecture discussion through production rollout. Build integrations between Watcher and customer environments: coding agent setups (Claude Code, Codex, Cursor), SIEM and security operations tooling, identity and access systems, CI/CD pipelines. Configure and tune monitors, policies, and permissions for each customer's workflows, and validate that monitoring quality holds on their real traffic. Debug issues in environments you don't control, often under time pressure, and drive them to resolution with the product team. Pre-sales and technical evaluation (~30%) Run technical evaluations and POCs with prospects: scope the pilot, deploy Watcher on their agent traffic, and demonstrate concrete value (caught failures, security coverage, developer experience). Serve as the technical counterpart to security and engineering leaders during evaluations: answer architecture and security questions, run demos on the prospect's actual use cases rather than canned examples. Work with our AI Security & Control Engineer on security questionnaires, architecture reviews, and customer pen-test support during procurement. Feed honest signal back into the team about why deals progress or stall technically. White-glove support and product feedback (~30%) Be the named technical contact for key customers. Own their escalations, incident communication, and feature requests. Build customer-specific capabilities where warranted, and drive the "should this be product?" conversation with the Engineering Manager and product engineers so one-off work compounds into the roadmap. Turn deployment experience into leverage: documentation, deployment tooling, and runbooks that make every subsequent deployment faster and less bespoke. Represent the voice of the customer in planning: you will know better than anyone what real security and platform teams need from Watcher. REPRESENTATIVE PROJECTS Land a lighthouse enterprise: Run a POC for a large enterprise with a strict security posture: scope the pilot with their security team, stand up a self-hosted backend inside their infrastructure, integrate with their SIEM, tune monitors on their traffic, and present results that convert the pilot into a production contract. Build a reusable deployment path: After your first several deployments, turn the bespoke steps into a repeatable, documented, partially automated deployment package (infrastructure templates, integration modules, validation checks) that cuts time-to-production for new customers by more than half. Ship a customer-driven capability into the product: Take a recurring customer request (e.g. a custom alert routing scheme or a new agent integration), build it for the customer who needs it, generalize it with the product team, and ship it as a core Watcher feature. Rescue a wobbly account: A customer's monitors are noisy, their engineers are annoyed, and their security lead is questioning the renewal. Diagnose the root causes of their traffic, retune the configuration, fix the underlying issues with the product team, and win back their confidence. JOB REQUIREMENTS Must-haves Strong engineering foundation. 3+ years building and shipping production software. You can work across the stack (Python and TypeScript primarily), read unfamiliar code fast, and are comfortable with cloud infrastructure, networking basics, and deployment tooling. You will regularly build under constraints you don't choose, in environments you don't control. Genuinely good with customers. You communicate clearly with both hands-on engineers and security leadership, you stay calm and constructive when something is on fire, and customers come away trusting you. This is not a tolerance requirement; you should like this part of the job. High agency and ownership. When a customer is blocked, you don't wait for a ticket to be routed. You find the problem, fix it or escalate it with a proposed solution, and follow through until it's resolved. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters, including occasionally at customer-driven hours. Judgment on custom vs. core. You can tell the difference between a request worth building bespoke, a request that should become a product, and a request to push back on, and you can deliver that pushback to a customer gracefully. Strong written communication. Deployment docs, incident updates, and POC reports need to be clear and precise. Comfortable leveraging AI heavily for engineering and customer work, while holding the output to a high standard. Strong nice-to-haves Prior FDE, solutions engineering, or professional services experience, especially at a developer-tools, security, or infrastructure company. Experience deploying software into enterprise environments: on-prem, VPC deployments, SSO/identity integration, security reviews, procurement processes. Familiarity with the enterprise security stack (SIEM, DLP, endpoint tooling) and with how security teams evaluate vendors. Experience with coding agents as a power user or builder. You have used Claude Code, Codex, Cursor, or similar tools heavily, or built agent tooling yourself. Pre-sales exposure: you have run POCs or technical evaluations and know how to demonstrate value on a prospect's terms. Willingness to travel occasionally to customer sites. Explicitly not required Formal AI safety background. We need excellent customer-facing engineers who can learn the AI safety context. Sales experience or quota history. You support deals technically; you don't carry a number. Deep expertise in every technology we use. We care about demonstrated ability to learn fast in unfamiliar environments, which is the core skill of this job. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $222,000 - $290,000; London : £149,000 - £195,000. We will be looking to meaningfully raise salaries soon. Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London or San Francisco office, with occasional travel to customer sites. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Provide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm Monitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load Support and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues Triage incidents affecting model availability — provider instability, connection resets, timeouts, regional slowness — determine whether the cause is platform-side or upstream, and drive to resolution with vendors where required Support the tooling layer built on top of LLM gateway: integrations, developer workspaces (e.g. Coder), coding assistants and API clients, including diagnosing issues introduced by upstream vendor releases running against a gateway-fronted API Coordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption Support release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback Build tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work Contribute to the design and implementation of monitoring, dashboards and alerting — for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting Own and improve operational documentation, runbooks and user-facing status communication Your present skillset Experience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end Strong Linux and Windows system administration skills Proficiency scripting and automating in Python, Bash and/or PowerShell Solid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting, and the ability to analyse system data to distinguish a platform-wide problem from a localised one Comfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles Familiarity with large language model concepts and hosting environments — inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching Exposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads Ability to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents Awareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers Beneficial Experience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms Experience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules Experience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar) Experience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency) Experience acting as the operational interface to third-party vendors and cloud providers during degradations QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises. We are looking for a product engineer to build and scale Watcher end to end. This role includes backend and frontend components. You will own features across the full stack, from agent hooks and ingestion pipelines to monitoring dashboards and enterprise integrations. You can expect to  own features from customer conversation to production deployment. This is truly a “start-up role”: you will own big chunks of the product, make decisions fast, and ship at high volume. You will join a small team with significant ability to shape the product and tech, and you can earn more responsibility quickly. This is an individual contributor role but could lead to management responsibilities eventually, if desired. KEY RESPONSIBILITIES Ship product end to end (~45%) Feature development Design, build, and ship Watcher features across the stack: agent-side hooks and CLI tooling, ingestion and grading pipelines, real-time monitoring UI (Watcher Live), and the organization-wide Analyzer dashboard. Own features end to end, from ambiguous requirements to production: talk to users, scope the work, make the technical decisions, put that into production, and iterate based on usage. Build Watcher integrations:  We currently support Claude Code and Codex, but we’re planning on increasing our coverage to other coding agents, LLM gateways, and anywhere that could benefit from agent monitoring. Build the policy and configuration layer that lets security teams set org-wide guardrails for  engineers to operate safely within. Productionize research Turn monitoring research (new monitors, grading strategies, backtesting results) into production-ready product features. We are "our own customer": You will use the product you build every day. Infrastructure and scale (~35%) Design and operate backend systems that process large volumes of agent logs in real time. Own reliability: robust error handling, graceful degradation, and observability (logging, metrics, tracing, alerting). We should catch issues before customers do. Architect data models and storage that handle both high-throughput writes and complex analytical queries over historical trajectories. Retention policies have to fit highly sensitive customer data. Make sure Watcher is safe to deploy: Work with our AI Security & Control Engineer on tenant isolation, encryption, and access controls. Watcher touches some of the most sensitive data our customers have. Customer and integration engineering (~20%) Build and maintain integrations with the enterprise security stack, e.g. streaming monitoring alerts into SIEM systems and existing security operations workflows. Support flexible deployment models: cloud-hosted, on-prem, and local backends, so sensitive agent logs never have to leave customer control. Talk to customers, debug issues in their environments, and feed what you learn back into the roadmap. REPRESENTATIVE PROJECTS Secure a new frontier coding agent: Take an agent we don't yet support (e.g. Cursor) from zero to fully monitored. Build the hook/integration layer, normalize its trajectory format into our data model, validate monitor accuracy on real traffic, and ship it to customers. Build the real-time blocking path: Design the low-latency pipeline that lets monitors block dangerous actions (e.g. git push --force, secret exfiltration) before they execute, while keeping p95 latency low enough that developers don't feel it. Handle traffic spikes and partial failures gracefully. Ship an Analyzer capability end to end: Design and build an organization-wide view (e.g. failure trends over time, cross-session pattern detection) from data model through API to UI, based on what security teams actually need. Deploy Watcher inside locked-down enterprises: Build and document the self-hosted/on-prem deployment story so that enterprises with strict data requirements can run Watcher  inside their own infrastructure. JOB REQUIREMENTS Must-haves 4+ years building production software. You have shipped and operated real systems with real users, and you know what it takes to keep them reliable. Full-stack capability. You are strong on the backend (APIs, data pipelines, databases, cloud infrastructure) and productive on the frontend (modern web UI). You don't need to be world-class at both, but you must be able to own a feature across the whole stack. Our stack is primarily Python and TypeScript. High agency and ownership. You are willing to own big chunks of the product, make decisions fast with incomplete information, and be accountable for the outcome. You don't wait to be told what to do and have an accurate sense of the roadmap for the product. High output volume. You have used Claude Code, Codex, Cursor, or similar tools heavily to accelerate or have built agents or agent tooling yourself. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Product sense. You can talk to users, translate vague requirements into concrete designs, and make good calls about what to build and what to cut. Strong nice-to-haves Previous work on developer tools, monitoring/observability systems, or security products. Watcher sits at the intersection of all three. Real-time or large-scale data processing experience (streaming pipelines, message queues, high-throughput log systems). Enterprise or on-prem deployment experience. Shipping software into environments you don't control is its own skill. Experience building LLM-powered applications, e.g. LLM-as-judge setups, evaluation pipelines, or familiarity with frameworks like Inspect. Early-stage startup experience. You have been employee 1-15 somewhere and know what it feels like to build a product with no playbook. Explicitly not required Formal AI safety background. We need excellent product engineers who can learn the AI safety context, not AI safety researchers who need to learn engineering. Management experience. This is an IC role, at least initially. Deep experience in every technology we use. We care about demonstrated ability to learn and ship, not checkbox familiarity with our exact stack. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco: $222,000 – $290,000 London: £149,000 – £195,000. We will be looking to meaningfully raise salaries soon. Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. 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. About The Opportunity P2P Marketplace sits within the Core Platform team where we serve as the backbone of OKX Central Exchange. OKX Core Products are dedicated to building systematic capabilities and infrastructures in the key areas including Compliance, Payment, Risk, User Centre, Customer Support, Asset & Financial Product and Data Analytics. By setting the right platform infrastructure, we allow other products such as Trading, Web3 to excel at the forefront, ensuring the best user experience on our platform. What You'll Be Doing Lead the expansion and management of global fiat payment channels, including payment gateways, settlement partners, banks, and local payment service providers (PSPs). Build and optimize on/off-ramp payment systems to ensure stability, security, and compliance across multiple regions.Drive business negotiations, contracting, and technical integrations with global payment partners. Manage end-to-end onboarding of fiat on/off-ramp vendors for digital asset exchanges — from requirement analysis to integration, testing, and go-live. Monitor global payment regulations, market trends, and provide strategic insights and risk assessments for payment-related decisions. Collaborate closely with Product, Risk, Compliance, Legal, and Finance teams to ensure seamless payment operations and compliance. Analyze payment performance data and identify opportunities to improve conversion rates, cost efficiency, and user experience. What We Look For In You Bachelor’s degree or above in Finance, Economics, Computer Science, International Business, or related fields. Minimum 3 years of experience in the payments industry, with deep understanding of global payment ecosystems and key channels (card schemes, local wallets, bank transfers, etc.). Proven experience in integrating fiat on/off-ramp vendors for crypto exchanges or cross-border financial institutions. Strong knowledge of payment processing, settlement flows, and compliance frameworks (e.g., AML, KYC). Excellent project management and cross-functional collaboration skills; able to lead complex integration projects independently. Proficient in English, with strong communication and negotiation skills for working with international partners. Passionate about fintech innovation, digital assets, and the evolving Web3 ecosystem. Nice-To-Have Proven success in independently sourcing and launching regional payment channels. Familiarity with payment landscapes in Southeast Asia, LATAM, the Middle East, or Africa. Experience working with global card schemes (Visa, Mastercard) or major local payment networks. 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. Why this role exists Higgsfield is one of the fastest-growing generative AI companies in the world. Every generation is a policy decision at scale, and the surface area (NSFW, IP, likeness, anti-fraud, deepfakes, regional law) grows every week. Trust & Safety needs a PM who can turn ambiguous legal, policy, and financial-abuse inputs into shipped systems, not another doc. What you'll actually do • Own the T&S product surface end-to-end: classifiers, appeals, user-facing warnings, moderator tooling, enforcement flows. • Own anti-fraud alongside content safety: multi-account farms, free-trial abuse, refund abuse, chargebacks, prompt-injection cost exploits, reseller wrappers. Fraud is a large and growing share of the T&S problem here. • Translate legal, policy, and financial-risk requirements into concrete product specs the ML and engineering teams can build against. • Set thresholds and enforcement policy in partnership with Applied ML: what gets blocked, what gets warned, what gets appealed, and the dollar and reputational tradeoffs behind each choice. • Run the incident loop when something breaks in production, provider escalations, misuse incidents, fraud spikes, new abuse vectors, and ship the fix. • Design the metrics that matter: dollars saved from fraud, false-positive cost to legit users, false-negative legal exposure, appeal reversal rate, coverage across new models and markets. • Work directly with Legal, Applied ML, Backend, Growth, Payments, and external providers to keep our contractual and regulatory obligations current. Must-haves 1. Founding or early-operator experience. You've spent years trying to build something of your own. You know what it's like to own an outcome when nobody hands you a spec. 2. Shipped T&S, moderation, fraud, risk, or compliance products at scale. You've made real enforcement decisions that affected real users and real money. 3. Comfort with legal, policy, and financial-risk ambiguity. You've worked with counsel, payments providers, or regulators and translated their inputs into product. 4. Strong technical judgment. You can reason about classifier tradeoffs, fraud-detection tradeoffs, threshold selection, and evaluation without needing an engineer to translate. 5. You make decisions in dollars and risk, not opinions. A block rate has a cost, a miss has a cost, a false fraud flag has a cost, you can argue all sides. Who this is not for • You prefer working from complete specifications rather than defining problems yourself. • You want to write strategy docs more than ship enforcement changes. • You are looking for a slower release cycle. We ship weekly, and incidents can compress that to hours. Nice to have • Background at a generative AI, UGC platform, marketplace, or fintech risk team in the US, EU, or Asia. • Direct experience with C2PA, child safety classifiers, IP takedowns, DMCA, GDPR enforcement, chargeback flows, or 3DS. • Comfort with adversarial abuse patterns and how they evolve. What We Offer - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A seat where your policy call ships to millions of generations the same week - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits. This is a fully on-site role based in our Almaty office. Our team works from the office five days per week for the full working day. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.

Location: Brownsville, WI Corporate Office  ; Green Bay, WI  ; Madison, WI  ; Milwaukee, WI  ; Neenah, WI Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as a Staff Data Product Manager can change yours. The Staff Data Product Manager shapes Michels' enterprise data strategy and leads the effort to define, prioritize, and manage the data products that give the organization self-service access to trusted, reusable data. As a founding leader on the Enterprise Intelligence team, this person guides the standup and evolution of the enterprise data platform, working closely with stakeholders to understand their needs, identify high-value opportunities, and make deliberate investments that balance early wins with the durability, governance, and scalability required for the long term. Ultimately, this role determines how effectively data powers analytics, reporting, operational insight, and AI across the Michels Family of Companies. Why Michels? We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We reward hard work and dedication with limitless opportunities We believe it is everyone’s responsibility to promote safety, regardless of job titles. We offer a comprehensive benefits program including (depending on your positions and location you may participate in a different benefit plan): Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan Why you? You thrive in fast-paced environments under tight deadlines You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You have strong time management, verbal, and written communication skills Key Responsibilities: Engage stakeholders across business and technology to surface pain points, clarify needs, and uncover where better data improves decisions. Prioritize the highest-value opportunities, deciding which platform capabilities are worth enabling and which products are worth building and why to maximize business value as the platform is established. Define curated, intuitive data products, including tables and semantic models, across all domains. Translate business needs into actionable stories and acceptance criteria, then guide engineering through development, testing, and delivery. Uphold quality and consistency standards so the data assets are documented, dependable, and suited for self-serve consumption. Measure adoption and outcomes, using those signals to validate value and guide what comes next. Qualifications: Bachelor's degree in Business, Technology, Engineering, Computer Science, a quantitative field, or equivalent practical experience. 7+ years of experience in data product management, guiding cross-functional teams to deliver data products on a scalable cloud data platform for enterprise consumption. Proven experience defining product roadmaps, requirements, user stories, and success metrics while guiding products or platforms through the full lifecycle from discovery through adoption. Strong understanding of data management concepts including data governance, metadata, data quality, data lineage, and the principles required to build trusted and reusable enterprise data assets. Exposure to leading cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, or similar technologies. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/