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Location: Paris; Amsterdam; London; Lausanne Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry.   WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Work across a diverse set of complex real world problems such as robotics, engineering, finance, cybersecurity, physics and more. - Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. - Manage research projects and communications with client research teams.   WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Ex-founder or builder - PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Experience working on large code bases or large machine learning models at scale. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Pasig City, Philippines JOB DESCRIPTION Summary: The ERP System Operations Project Manager leads the international arm of ClinChoice’s Global ERP Administration function and collaborates with the company’s international cross-functional teams to support users in their day-to-day use of Microsoft Dynamics 365. The role also works with the company’s ERP development team and third-party vendor to maintain and optimize ERP system operations. Responsibilities: Lead the International ERP Administration team and oversee first-level technical and functional support for international users of Microsoft Dynamics 365 modules. Collaborate closely with international cross-functional teams across multiple entities and with key ERP stakeholders to diagnose system issues, recommend solutions, and continuously identify opportunities to improve ERP performance. Analyze business requirements; prepare functional specifications and design documentation; and manage change requests, service requests, and budget alignment and Manage the full system project lifecycle, including project kickoff, planning, issue tracking, timeline management, and testing coordination. Oversee testing activities and release schedules to ensure the successful delivery of system enhancements. Manage ERP timesheet operations and support resource planning. Monitor company-wide timesheet and resource-planning processes to ensure satisfactory monthly completion and approval rates. Continuously evaluate and optimize timesheet-management processes and training programs. Manage ERP user permissions and oversee the development, maintenance, and review of system-related standard operating procedures. Manage the tracking and prioritization of open requests, ensuring the timely resolution of critical system issues. Lead and facilitate ERP project meetings with stakeholders at all organizational levels. Design, develop, and deliver company-wide application training programs, including monthly ERP timesheet training for new hires, line managers, and project functional leads. Evaluate, initiate, and lead cross-functional standardization and automation initiatives that drive continuous business process improvement and operational efficiency. Skills and Qualifications: Bachelor’s degree or higher in information systems, computer science, accounting, finance, or a related field. Minimum of 5 years of experience in ERP operations or finance systems support . Hands-on experience with Microsoft Dynamics 365 is highly preferred . Strong written and verbal communication skills, with excellent analytical and problem-solving abilities. Proven ability to lead cross-functional initiatives and manage multiple projects simultaneously. Experience managing system implementation, maintenance, and continuous improvement initiatives. Advanced proficiency in Microsoft Office applications, including Excel, Word, PowerPoint, and Outlook. Ability to work effectively as a collaborative team member and support operations across multiple time zones. Business-level proficiency in English is required , and proficiency in Mandarin Chinese is preferred for daily collaboration with the ERP vendor and the China IT team, along with availability across time zones during the financial close period. Flexibility to support U.S. and European time zones.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid The role / impact We are looking for a Principal Engineer to join the teams behind the Xero Accounting App (XAA), our flagship mobile experience that helps small business owners stay on top of their finances wherever they are. You will define the standard for engineering excellence at Xero, strengthening technical capabilities and evolving the architectural direction to support our global product roadmap. Core Tech Stack (Non-Negotiable): React Native, TypeScript, and cloud-native backend APIs form the foundation of this role. You will be architecting, building, and leading across all three domains as an integrated system. You will bridge the gap between product vision, strategy, and execution, shaping the React Native technical roadmap to ensure our architectural decisions align with strategic goals. We need a leader who can solve complex mobile engineering problems at scale, seeking clarity within complexity and demonstrating smart ways to simplify while breaking down silos and driving cross-functional collaboration between mobile and backend teams. The ideal candidate is someone who, - Drives architectural strategy across all mobile squads and domains. - Shapes the mobile technical roadmap in close partnership with product, design. - Leads the most complex and ambiguous technical initiatives across the organisation. - Sets the engineering standard for the entire mobile organisation across code quality, reliability, operational maturity. - Acts as a force multiplier at the organisational level by coaching Lead and Senior Engineers. - Anticipates industry shifts, evaluates emerging technologies, and future-proofs the mobile platform. Initially, you will focus on - React Native Excellence: Establishing reference patterns, best practices, and architectural standards for high-performance React Native applications. Optimize for bundle size, performance, native module integration, and TypeScript-first development—raising the bar across the codebase. - Cross-Boundary Technical Leadership: Leading collaboration across mobile and backend teams, ensuring API contracts are designed with mobile consumption patterns in mind, and removing friction at the feature boundary. You'll advocate for the mobile perspective in system design while owning the React Native side fully. - TypeScript-First: Championing strict TypeScript practices across the React Native codebase, establishing type safety standards, and mentoring engineers on patterns that catch errors at compile time rather than at runtime. - Systemic Operational Excellence: Leading strategic prevention of issues by defining frameworks for SLOs, quality standards, crash analytics, and reliability metrics specific to mobile performance and UX. - Capability Elevation: Acting as a force multiplier by coaching lead engineers in React Native architecture, recruiting top React Native + TypeScript talent, and engaging with the broader React Native community. - API & Backend Exposure: Practical experience working across the feature boundary with backend services and BFF/API layers. You can reason about API contracts, mobile consumption patterns, and troubleshoot integration issues—but you're not expected to be a deep backend engineer owning infrastructure, databases, or full service architecture. - AI-Led Engineering for Mobile: Define and execute a vision for AI-assisted development that transforms how React Native code is written, tested, and optimized—delivering step-function improvements in mobile development velocity. Additional Strengths: - You bring extensive experience building and leading mobile applications in high-growth, large-scale environments—understanding the unique challenges of scaling React Native codebases, build pipelines, and release automation. - Your approach ensures React Native architecture and product strategy are inextricably linked, translating technical possibility into beautiful, performant customer experiences. - You focus on strategic prevention rather than reacting to incidents, using delivery and production metrics (crash rates, API latency, bundle size trends) to identify systemic improvements. - A natural ability to thrive in ambiguity allows you to act as a stabilising force, translating shifting business directions into high-level React Native technical roadmaps. WHY THIS MATTERS React Native powers ~70% of the Xero Accounting App. Success in this role means establishing the technical standard for how we build mobile at Xero—defining architecture patterns, TypeScript practices, performance benchmarks, and the processes that support high-velocity mobile development. You'll influence hiring, technical culture, and the mobile engineering roadmap for years to come. This is not a backend role; it's about owning mobile excellence end-to-end. Where and how you can work Our teams are located in Australia and this hybrid role is based in Melbourne or Sydney, offering the flexibility to balance deep-focus work with high-bandwidth collaboration in our beautiful offices. Please 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 our culture.

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You’re currently pursuing a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas - You have experience developing and evaluating large-scale models or machine learning systems - You’re familiar with distributed training, large-scale inference, or multi-GPU environments - You have publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR - You have strong programming and engineering skills and can translate research ideas into working implementations - You have a collaborative, mission-driven mindset and can work effectively across research and engineering teams

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By delivering actionable insights and innovative hardware, WHOOP helps members achieve their goals and push the boundaries of human potential. As a Mechanical Engineer on the Hardware Advanced Development Team at WHOOP, you will contribute to the design and development of WHOOP’s innovative hardware solutions. You will push the boundaries of technology by driving product innovation from conceptual prototypes to manufacturing-ready designs. You’ll work alongside a multidisciplinary team of engineers and designers to help bring innovative concepts to life, supporting prototyping, mechanical design, and testing efforts. This is a great opportunity for an engineer with a solid technical foundation to grow their skills in a dynamic, fast-paced environment while contributing to impactful projects in early-stage product development. RESPONSIBILITIES: - Contribute to mechanical design and development of early-stage projects to shape the future of WHOOP hardware. - Design, prototype, and test complex mechanical components around microelectronics, meeting stringent technical, performance, and industrial design requirements to guide projects from concept through manufacturing release. - Develop and present multiple design solutions for novel and complex technical challenges, articulating them clearly to cross-functional teams and documenting design process and specifications thoroughly. - Support the design and execution of comprehensive testing and validation plans, employing advanced design of experiments (DOE) methodologies to drive understanding, uncover insights, and deliver actionable results that enhance product quality, performance, and manufacturability. - Partner with the Hardware Product Team to lead engineering evaluation of new technologies, addressing risks that build confidence in NPI readiness. - Operate and maintain in-house prototyping tools, including 3D printers and CNC machines, to create proof-of-concept prototypes and support early-stage development. - Collaborate with senior engineers to evaluate new technologies and manufacturing methods. - Up to 10% travel to contract manufacturers and suppliers. QUALIFICATIONS: - Bachelor’s degree in Mechanical Engineering or related field. - 0-3 years of experience in the design of complex mechanical products, preferably for consumer electronics, wearables, or medical devices. - Experience with SolidWorks, or transferable CAD program - Hands-on experience with rapid prototyping tools to craft proof-of-concept models. - Strong communication skills and comfort working on cross-functional teams. - Working understanding of SolidWorks best practices, including advanced assemblies, surfacing, configuration management and applying DFx feedback. - Familiarity with validation testing methods and statistical analysis tools. - Experience with high-volume manufacturing processes (e.g., injection molding, sheet metal design, metal injection molding) and manual assembly. - Prior experience in high-quality consumer electronics or wearable technologies is preferred. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $90,000 - $130,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote - Bengaluru, India MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical leadership position focused on defining, validating, and guiding AIStor architectures for AI, analytics, cloud-native applications, and large-scale data infrastructure. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team to ensure customers are successful through technical discovery, architecture design, proof-of-value execution, production onboarding, performance validation, and long-term expansion. Success in this role requires deep technical curiosity, hands-on architecture skills, strong communication, and the ability to connect AIStor’s capabilities to the data-intensive workloads that matter most to our customers. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, application requirements, data architecture, infrastructure constraints, and success criteria. Define scalable AIStor architectures that map directly to those requirements. AI and Analytics Workload Design: Define and validate AIStor architectures for AI/ML training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in object storage, S3-compatible architectures, distributed systems, metadata, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & Advisory Customer Technical Advisor: Build trusted relationships with customer technical stakeholders, including infrastructure, platform, analytics, AI, security, application, and operations teams. Guide customers toward informed architecture decisions and proactively identify opportunities to improve performance, resilience, scale, and operational efficiency. Proof-of-Value Execution: Lead technical evaluations, system configurations, performance testing, interoperability validation, and proof-of-value engagements that demonstrate AIStor’s value in real customer environments. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering teams to help customers move from evaluation to production and from initial deployment to broader adoption across additional workloads, teams, and use cases. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns, including hybrid cloud, private cloud, public cloud, and edge infrastructure models. Solution Integration and Ecosystem Collaboration: Work with technology partners, reseller partners, and customer teams to support complete solutions involving analytics engines, AI platforms, Kubernetes distributions, data protection tools, identity systems, observability platforms, and public cloud services. Technical Presentations and Enablement: Build and deliver compelling architecture presentations, whiteboard sessions, demonstrations, best practices, workshops, and technical enablement sessions for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations. Product Intelligence & Market Expertise Product and Engineering Feedback: Advocate for customer requirements internally by capturing field feedback, competitive insights, workload patterns, integration needs, and enhancement opportunities. Work with Product and Engineering teams to help inform roadmap priorities and improve customer outcomes. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competitive storage trends. Help internal teams and customers understand where AIStor is differentiated. Your Skills and Experience: Strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications. Strong understanding of object storage concepts and S3-compatible architectures; experience with HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design is highly valuable. 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience with Linux, networking, storage systems, virtualization, containers, Kubernetes, and modern data center infrastructure. Experience designing or supporting AI, machine learning, analytics, data lakehouse, or large-scale data pipeline environments. Familiarity with ecosystem technologies such as Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks is a strong plus. Experience with public cloud and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to conduct technical discovery, design architectures, build demonstrations, guide proof-of-value execution, analyze performance, and communicate tradeoffs clearly. Comfortable working with heterogeneous enterprise environments involving compute, storage, networking, security, identity, observability, backup, disaster recovery, and application teams. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate complex technical concepts to both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a software engineer on the AI Solutions team, you will co-lead customer engagements with an AI Solutions Strategist. The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness. This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage. WHAT YOU’LL DO - Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost. - Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers. - Create and maintain solution architecture artifacts: - System context and data flow diagrams - Integration plan across Ramp and customer systems - Security model covering permissions, access patterns, and auditability - Evaluation plan covering quality metrics, acceptance tests, and red-teaming - Operational plan covering monitoring, alerting, incident response, and runbooks - Leverage core Ramp primitives to build efficiently, reusing existing product capabilities wherever possible. - Prototype and validate workflows with end users to de-risk the approach and prove product-market fit. - Drive projects from bootcamp and technical discovery through implementation, production launch, and operational handoff. - Ensure deployed workflows are reliable, supportable, measurable, and adopted by customer teams. - Convert deployments into reusable patterns, components, and playbooks for future AI Solutions projects. WHAT YOU NEED - Experience shipping production software in high-ownership environments. - Ability to work directly with enterprise customers from discovery through production implementation. - Experience in solutions architecture, technical consulting, forward deployed engineering, or pre-sales engineering. - Strong fundamentals in ML/GenAI, including problem decomposition, evaluation, and deployment trade-offs. - Strong coding ability in at least one of: Python, TypeScript/JavaScript, Java, Go, or similar. - Ability to design secure, scalable systems and produce clear technical documentation. - Comfort working across APIs, integrations, data pipelines, customer systems, and cloud infrastructure. - Experience with cloud architecture on AWS, GCP, or Azure, and distributed systems patterns. - Experience building LLM systems, including RAG, agents, monitoring, and evals. - Willingness to travel up to ~50% as needed, flexible based on project needs and client needs - Nice to have: Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Lisbon, Portugal JoomPulse is an AI analytics tool for Mercado Livre and Shopee sellers, providing insights into the most profitable products and fastest-growing categories — helping sellers boost their profits with data-driven decisions. JoomPulse is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies that was founded in 2016 in Latvia. Joom Group also includes the following businesses: Joom, a global cross-border marketplace; JoomPro, the first and only end-to-end cross-border B2B marketplace; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. Currently, we are looking for an Senior Product Analyst. The JoomPulse Product Analyst owns the three things that decide whether the product grows: The quality of the data on the platform The product analytics that tell us whether new features and new data actually move conversion and retention The market analysis that turns our marketplace data into insight for large corporate data clients and for the press This person makes sure we can trust our own data, makes sure every significant feature and data release is measured against its real effect on conversion and retention, and packages our marketplace data into external-facing market analysis (category trends, pricing, market dynamics) that lands with corporate clients and journalists. Responsibilities Transform imperfect data into clear, actionable insights that drive decisions Conduct product research (identify growth opportunities, answer high-level questions, and formulate hypotheses for the team) Analyze user behavior patterns and independently uncover insights that are meaningful for the product Influence goal setting and project prioritization within the team based on data Develop self-service capabilities in the domain (structure data to make it easily usable by AI tools, and automate routine analysis so the team can independently answer basic questions) Identifying growth opportunities for the product, analysis and sales forecasting, including identifying seasonality and trends Requirements 5+ years of experience in data analysis Ability to write complex SQL queries (complex joins, window functions, CTEs, query optimization) Product-analytics depth (retention (paid & usage), cohort analysis, funnels, activation, ARPU/LTV, engagement) Knowledge of mathematical statistics and practical experience applying it Hands-on with a cloud warehouse (BigQuery or equivalent) BI and data storytelling (builds and maintains dashboards (Metabase / Looker Studio or equivalent)) Skill in selecting appropriate data evaluation methods: analytics, research, or using external data Ability to tackle complex problems in situations with incomplete data Attention to detail and ability to see tasks through to completion Preferred Built a data-quality or data-observability system from scratch and owned it Owned product analytics on a data / analytics product specifically Python (pandas / numpy) for analysis and automation and PySpark / big-data processing for the more technical work B2B SaaS experience Experience in marketplace analytics and deep understanding of marketplaces base metrics and ranking algorithms We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year, and 22 days of paid annual leave Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work B efore applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: Remote - EMEA Workplace: Remote ABOUT US Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. JOB SUMMARY We’re looking for a highly technical, systems-minded Senior Product Manager to lead two critical search intelligence teams: Machine Learning & Recall and Query. Search at Constructor is fundamentally an ML challenge, and this role sits at the absolute entry point of our discovery pipeline, right where shopper intent meets candidate retrieval. In this role, you will bridge the Query team (understanding what a shopper means across intent, entities, and language) with the Machine Learning & Recall team (retrieving the exact right set of candidate products across massive catalogs). You will define strategy across both domains, balancing state-of-the-art techniques, such as vector search, semantic parsing, dense embeddings, and LLM-assisted query interpretation, with low-latency production execution. You won’t be measured on shipping features for the sake of it; you’ll be measured on candidate quality, query accuracy, and driving business outcomes like conversion rate, search-attributed revenue, and revenue per visit. WHAT YOU’LL DO - Set a unified roadmap: Define the multi-quarter vision and strategy across both the Machine Learning & Recall and Query teams, ensuring query understanding and candidate generation evolve hand-in-hand. - Drive Query intelligence: Lead the Query team to push boundaries in tokenization, spell correction, entity extraction, intent classification, and LLM-assisted query parsing across multiple languages. - Advance Recall systems: Lead the Machine Learning & Recall team in evolving candidate generation architecture, seamlessly combining traditional keyword search with modern dense embeddings, vector retrieval, and hybrid recall models. - Move core business metrics: Own measurable lift in search-attributed conversion, revenue per visit, and GMV across all retail customer verticals. - Turn research into production wins: Work shoulder-to-shoulder with ML researchers, data scientists, and software engineers to take SOTA models from research to low-latency, cost-effective production systems. - Balance ML performance trade-offs: Make data-backed decisions balancing model complexity, accuracy, inference latency, compute costs, and real-time execution constraints. - Build evaluation frameworks: Establish robust offline and online measurement systems to evaluate retrieval precision and query understanding accuracy against customer revenue outcomes. - Orchestrate pipeline handoffs: Ensure candidate product sets and query context flow cleanly into downstream ranking and search quality models without signal loss. - Solve systemic issues: Lead technical triage when query interpretation or retrieval anomalies occur, building durable, automated fixes rather than one-off patches. WHAT SUCCESS LOOKS LIKE Within your first year, you will have: - Evolved our hybrid recall framework to measurably improve candidate generation precision for long-tail queries and complex catalog structures. - Driven quantifiable lift in search-attributed conversion and revenue per visit across major customer verticals. - Stood up an integrated evaluation framework connecting query parsing and candidate recall directly to business outcomes. - Optimized inference latency and compute infrastructure to ensure high-capacity ML models run fast and cost-effectively in production. BENEFITS - Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year. - A competitive compensation package including stock options. - Company-sponsored US health coverage (100% paid for employee). - Fully remote team - choose where you live. - Work-from-home stipend! We want you to have the resources you need to set up your home office. - Apple laptops provided for new employees. - Training and development budget for every employee, refreshed each year. - Parental leave for qualified employees. - Work with smart people who will help you grow and make a meaningful impact. THIS POSITION IS FULLY REMOTE — CONSTRUCTOR.IO http://Constructor.io IS A REMOTE-FIRST COMPANY. DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Tokyo 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. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Lead recruiting across Japan, supporting both technical and non-technical hiring, including Engineering, Product Management, Sales, G&A, and leadership roles. - Build and develop a high-performing recruiting team while fostering a culture of excellence, collaboration, and continuous improvement. - Partner closely with senior leaders to translate business priorities into scalable hiring strategies and market plans. - Serve as a trusted advisor on the Japan talent market, providing insights on the competitive landscape, compensation trends, hiring strategies, and organizational design. - Develop innovative sourcing strategies to attract exceptional talent. - Personally recruit and close senior and business-critical hires when needed. - Continuously improve recruiting operations, interview quality, and candidate experience while ensuring hiring decisions remain thoughtful, efficient, and consistent. - Partner cross-functionally with People, Compensation, Immigration, and Recruiting Operations to support the continued growth of our Japan business. - Use recruiting data and market insights to influence hiring priorities, capacity planning, and long-term workforce strategy. WHAT YOU’LL BRING - 10+ years of recruiting experience, including experience leading recruiting teams in Japan. - Experience hiring across both technical and business functions within high-growth technology companies. - Deep understanding of the Japan talent market, including experience building engineering and enterprise sales organizations. - Strong people leadership skills with a track record of coaching and developing recruiters. - Experience partnering directly with executives and senior hiring managers on organizational growth and talent strategy. - Excellent judgment, prioritization, and problem-solving skills in fast-changing environments. - Passion for delivering an exceptional candidate and hiring manager experience. - Native fluency in Japanese and strong written and verbal English communication, with the ability to influence and build trust across global and local stakeholders. 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 through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - 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 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 even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Data Scientist, you will help measure the impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement and insights. This is an opportunity to work on high-impact initiatives affecting millions of PlayStation players while developing your expertise in experimentation, causal inference and applied data science. What You'll Be Doing: Apply measurement methodologies across experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Contribute to the development and adoption of best practices for experiment design, statistical analysis and causal measurement. Partner closely with product managers, engineers, analysts and business stakeholders to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence. Collaborate with engineering teams by providing feedback on experimentation and measurement capabilities to improve tooling and workflows. Develop reusable analytical solutions, dashboards and code that improve the quality, consistency and efficiency of measurement. Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Contribute to a culture of evidence-based decision-making by sharing knowledge, collaborating across teams and promoting analytical best practices. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems. Good understanding of experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches. Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights. Strong proficiency in Python and SQL for analytical workflows. Experience developing robust analytical solutions using sound statistical principles and software engineering best practices. Strong stakeholder management and communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences. Curiosity, creativity and a pragmatic approach to solving ambiguous business problems. A collaborative mindset with a passion for continuous learning and improving analytical capabilities. Preferred: Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity. Experience developing reusable analytical frameworks, libraries or internal tooling. Experience presenting analytical findings and recommendations to cross-functional stakeholders. What You'll Influence: Measurement for PlayStation's product and commercial initiatives. High-quality experimentation and causal inference across product and business teams. Product and commercial decisions through rigorous analytical evidence. The continued evolution of PlayStation's measurement and experimentation capabilities. Why You'll Love This Role: Help shape how PlayStation measures product and commercial success across a global business. Work on challenging real-world problems using experimentation, causal inference and machine learning. Collaborate with talented scientists, engineers and product teams on high-impact initiatives. Learn from experienced data scientists while developing your expertise in modern measurement and experimentation. Contribute to the adoption of evidence-based decision-making across PlayStation. Continue growing your technical and business skills in a collaborative, supportive environment. Benefits: Discretionary bonus opportunity Hybrid Working (FlexModes) Private Medical Insurance Dental Scheme 25 days annual leave On-site gym Subsidised café Complimentary soft drinks On-site bar Secure cycle storage and shower facilities Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. We’re looking for a Senior Product Manager to join our team and help shape the future of business messaging and AI-powered customer engagement. This is a career-defining opportunity to lead a world-class team of engineers, designers, and researchers to deliver products that touch millions of people every day. What will I be doing? Be the Product Manager for the Messenger, Fin’s most important channel Deeply understand the customer problems you’re tackling through research, data, and direct customer interactions — then frame those problems clearly for your team. Manage the roadmap; defining what should be built, when and why - and communicate it to generate alignment and excitement. Collaborate with engineers and designers to imagine, build, and ship solutions, from bold future visions to small, focused iterations. Leverage AI to increase your own efficiency, accelerate product development, and multiply your team’s impact. Evaluate impact through quantitative and qualitative measures, both in beta and after full release. Own and maintain the quality of your product area, ensuring every release delivers world-class software. Collaborate with peers across the business to ensure we deliver products with clear GTM strategy and execution, getting hands on wherever necessary to ensure we deliver. Be a leader in your team or projects by role-modelling our company values and R&D principles. What skills do I need? There is no minimum years of experience for this role. We’re interested in your impact, drive, and potential. Instead of years, we’ll be looking for evidence that you’ve applied and grown these skills: Sharp Customer Focus & Problem Framing - able to independently understand, define and articulate complex customer problems and opportunities using data analysis and qualitative inputs. Compelling Roadmaps - define the roadmap of features, products or areas of focus for your given area, communicating what, when and why to generate excitement with customers and the teamExcellent Product Judgment - skilled at balancing customer needs, business impact, and technical constraints to define, advocate for, and deliver the right product. Build World-Class Product - able to deeply collaborate with engineering and designers to quickly ship effective solutions. But, also able to independently accelerate the process leveraging AI. AI Tech - Able to understand AI systems and LLMs, assess feasibility and trade-offs, and make informed product decisions in close collaboration with engineering. Technical fluency - Comfortable engaging with engineers and customers on the modern tech stack — from APIs and SaaS infrastructure to low-code tooling and system architecture. Outcome Oriented - define, fight for and share progress against the customer and business impact of your product area or project. Leadership - Excellent communicator. High ownership. Ability to influence and drive alignment. #LiHyrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Mexico City Workplace: hybrid Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for a Solution Consultant  to support the development of the LATAM region by providing technical expertise and experience to the team, customers, and partners. As a Solution Consultant, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical adviser and product advocate. Using technical creativity and business acumen, you will illustrate the value that Creatio’s platform can provide. You must be able to engage and articulate product positioning to both business and technical users in competitive scenarios. You will also rapidly identify all technical issues of assigned accounts to assure complete customer satisfaction through all stages of the sales process.The role is hybrid based in Mexico City.Team composition:Reporting to our VP of Solution Consulting Americas.Responsibilities:Customer Oriented Responsibilities:Lead discovery sessions with prospects to identify pain points, business goals, and key use cases.Align Creatio’s platform capabilities with prospect requirements, positioning no-code automation, AI-driven workflows, and CRM functionalities effectively.Develop value-driven demos, leveraging storytelling techniques to connect with different personas (C-suite, IT, end-users).Deliver engaging, industry-specific demos, adapting content for each audience and addressing technical objectionsDeliver product demos and technical briefs for key customer accountsAct as a trusted advisor, guiding customers on best practices for digital transformation with a low-code/no-code CRM.Partner Oriented Responsibilities:Help partners define best approaches in sales strategies based on product specifics and capabilities.Company and Team-Oriented Responsibilities:Work closely with Account Executives to strategize on deal progression and competitive positioning.Contribute to internal knowledge bases, demo libraries, and best practices for presales teams.Stay updated on Creatio’s latest features, market trends, and competitor offerings.Requirements:2-3 years of experience in solution consulting, presales, or technical sales within enterprise SaaS (CRM, BPM, or automation solutions preferred).Expertise in business process automation, CRM platforms, or customer experience solutions.Exceptional presentation skills, with the ability to tell compelling stories through customized demos.Ability to navigate complex sales cycles and influence senior decision-makers. In-depth knowledge of the LATAM market dynamics, including industrytrends, and competitor landscape.Storytelling mindset – ability to create engaging, value-driven narratives in demos. Curiosity & problem-solving – proactive approach to understanding customer needs. Collaboration & adaptability – ability to work cross-functionally in a fast-paced, global team.Willingness to travel as needed to meet with clients and attend industry events. Requirement to work in the Creatio Mexico City office once a month.Experience with no-code/low-code platforms, AI automation, or API integrations is a plus.Experience working with and designing database solutions is a plus.Fluency in English.Nice to have:Bachelor's degree in a related field.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Who We’re Looking For: We are looking for a Solution Consultant  to support the development of the LATAM region by providing technical expertise and experience to the team, customers, and partners. As a Solution Consultant, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical adviser and product advocate. Using technical creativity and business acumen, you will illustrate the value that Creatio’s platform can provide. You must be able to engage and articulate product positioning to both business and technical users in competitive scenarios. You will also rapidly identify all technical issues of assigned accounts to assure complete customer satisfaction through all stages of the sales process.The role is hybrid based in Mexico City.Team composition:Reporting to our VP of Solution Consulting Americas.

Workplace: fully We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production. This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications. What you'll do Develop, train, and evaluate machine learning models. Prepare and analyze datasets for model training. Improve model performance through experimentation and testing. Deploy and maintain ML models in production environments. Collaborate with software engineers to integrate ML solutions into products. Monitor model performance and continuously improve accuracy. Stay up to date with new machine learning techniques and technologies. What we're looking for Basic understanding of machine learning concepts and algorithms. Experience with Python. Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. Comfortable working with data and writing clean, maintainable code. Familiarity with Git. Good problem-solving skills. Strong written and verbal English communication. Nice to have Experience with large language models (LLMs). Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with SQL. Experience deploying ML models. Personal projects or open-source contributions related to AI or machine learning. Requirements 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required. Passion for learning and building AI solutions. What we offer Fully remote work. Flexible working environment. Opportunity to work on real AI products. Challenging technical problems with room to grow. Collaborative and fast-moving team. Competitive compensation based on experience.

Location: Athens; Limassol; Nicosia; Thessaloniki Workplace: hybrid The Role:  We are looking for a Senior Data Scientist specializing in Graph AI to join our growing Data Science team. In this role, you will design and deploy production-grade graph machine learning solutions, working with Graph Neural Networks (GNNs), graph databases, and large-scale datasets to solve complex real-world problems.   You will play a key role in shaping the company's Graph AI capabilities, collaborating with cross-functional teams and mentoring other data scientists while delivering innovative, business-impacting solutions. The main responsibilities of the position include: Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions Transform large, complex datasets into graph representations and extract actionable insights using advanced analytics, graph algorithms, and statistical techniques. Drive the adoption of Graph AI across the organisation by identifying new use cases and contributing to the evolution of the company's data science strategy. Communicate complex technical concepts and model outcomes clearly to both technical and business audiences. Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality . Leverage technologies such as Python, Graph Neural Networks, graph databases, modern ML frameworks, and cloud-based data platforms to build innovative data solutions Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics Lead and supervise a team of data scientists working on graph-related tasks Partner closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to translate business challenges into scalable Graph AI solutions. Main requirements: University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field At least 6 years of experience in data science, machine learning and AI , including hands-on experience in designing, training and optimising Graph Neural Networks (GNNs) for production applications. Experience working with relational and non-relational databases Solid experience working with graph databases (e.g., Neo4j, Neptune) and proficiency in graph query languages (e.g., Cypher or Gremlin). Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly Strong programming skills in Python and experience with Pandas, NumPy , and similar data analysis libraries Strong analytical thinking, problem-solving ability, and attention to detail . Excellent communication skills and the ability to work collaboratively in a team environment Fluent in English Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Lagos, Nigeria About Renmoney Renmoney is a leading Nigerian financial institution committed to making financial services simple, accessible, and impactful for millions of individuals and small businesses. We leverage technology, data, and innovation to provide lending, savings, payments, and emerging financial solutions that improve our customers' financial wellbeing. Our ambition is to build one of Africa's most trusted and customer-centric financial services platforms. As we continue to scale, we are seeking an exceptional Chief Financial Officer to help shape our next phase of growth. Please note that this is a Lagos-based executive role, requiring an on-site presence in Nigeria. The Role The Chief Financial Officer (CFO) is a key member of the Executive Committee and strategic partner to the CEO, Board, investors, and regulators. The CFO is responsible for safeguarding the financial strength of the business while driving sustainable growth, capital optimisation, investor confidence, and long-term value creation. The role provides leadership across Finance, Treasury, Financial Planning & Analysis (FP&A), Tax, Procurement, Investor Relations, Regulatory Reporting, Capital Management, and Financial Operations. The successful candidate will build a high-performing finance organisation that delivers timely insights, enables effective decision-making, strengthens governance, and supports the company's strategic ambitions. Key Responsibilities Strategic Leadership Serve as a trusted adviser to the CEO, Board, and Executive Committee on all financial and strategic matters. Contribute to the development and execution of the Company's long-term strategy and growth plans. Drive enterprise-wide performance management and ensure resources are allocated to the highest-return opportunities. Provide strategic challenge and independent insight to support decision-making across all business functions. Promote a culture of accountability, transparency, execution excellence, and value creation. Financial Strategy & Performance Lead the Company's financial planning, budgeting, forecasting, and performance management processes. Develop financial models and strategic scenarios to support growth initiatives, product expansion, and investment decisions. Deliver insightful management reporting and performance analysis to the Executive Committee and Board. Establish clear profitability and return-on-capital metrics across products, channels, and customer segments. Drive continuous improvement in forecasting accuracy and financial discipline. Treasury, Funding & Capital Management Develop and execute the Company's funding and capital strategy. Ensure effective liquidity management and maintenance of adequate capital buffers. Lead relationships with banks, institutional lenders, development finance institutions, investors, and funding partners. Identify and execute opportunities to diversify funding sources and reduce cost of funds. Monitor capital adequacy and ensure alignment with regulatory and growth requirements. Support fundraising initiatives, including debt and equity transactions. Investor Relations & Stakeholder Management Build and maintain strong relationships with shareholders, investors, lenders, auditors, rating agencies, and key stakeholders. Present financial performance, strategic initiatives, and funding opportunities to existing and prospective investors. Ensure timely, accurate, and transparent communication with stakeholders. Support future capital raising and strategic partnership opportunities. Regulatory Compliance & Governance Ensure full compliance with all regulatory, statutory, tax, and reporting requirements. Maintain strong relationships with regulators, including the Central Bank of Nigeria and other relevant authorities. Lead statutory reporting, annual audits, tax management, and financial governance activities. Ensure effective internal controls, policies, and risk management frameworks are maintained and continuously improved. Promote a strong control environment and a "no surprises" culture. Business Performance & Analytics Drive the use of data and analytics to improve commercial decision-making. Establish robust business intelligence and management reporting capabilities. Monitor business performance, portfolio profitability, customer economics, and operational efficiency. Partner with Business, Risk, Product, Operations, and Technology teams to optimise financial outcomes. Ensure financial insights are translated into actionable business decisions. Portfolio & Risk Management Work closely with Risk and Business teams to optimise portfolio growth and profitability. Monitor portfolio quality, expected losses, provisioning, and risk-adjusted returns. Evaluate the financial implications of credit, liquidity, operational, and market risks. Support sustainable growth through disciplined balance sheet management. Technology & Finance Transformation Drive automation, digitisation, and continuous improvement across finance processes. Ensure finance systems and reporting infrastructure support business scalability. Improve reporting speed, quality, and accessibility through technology and data. Lead finance transformation initiatives that enhance efficiency and effectiveness. Leadership & Talent Development Build, lead, and develop a high-performing finance organisation. Foster a culture of accountability, ownership, continuous learning, and excellence. Develop succession plans and strengthen leadership capability across the finance function. Mentor and coach future finance leaders within the organisation. Collaborate effectively across all business functions to achieve organisational goals. Success Measures Within the first 6–12 months, the CFO will be expected to: Strengthen profitability and forecasting accuracy. Improve capital efficiency and liquidity management. Enhance management reporting and business insights. Successfully execute funding and capital initiatives. Strengthen investor, Board, and regulatory confidence. Improve finance operational efficiency through automation and transformation. Build a high-performing finance leadership team capable of supporting the Company's long-term growth ambitions. Requirements Education & Professional Qualifications Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related discipline. ACA, ACCA, CPA, CFA, or equivalent professional qualification required. MBA or advanced business qualification is an advantage. Experience Minimum 5 years of experience in a CFO, Finance Director, Deputy CFO, or equivalent executive finance role. Minimum 15 years of progressive finance leadership experience preferred. Proven experience working in an international business environment. Strong experience within financial services, banking, fintech, lending, payments, or consumer finance. Demonstrated success managing large balance sheets, funding programmes, and regulatory relationships. Proven experience leading fundraising and investor engagement initiatives; capital management experience is an advantage. Experience driving finance transformation and organisational growth. Key Competencies Strategic & Commercial Strong understanding of growth, profitability, and value creation drivers. Ability to connect financial performance with business strategy is an advantage. Leadership Executive presence and credibility with Boards, investors, regulators, and senior stakeholders. Strong influencing and stakeholder management skills. Proven ability to build and lead high-performing teams preferred. Technical Excellence Deep knowledge of financial reporting, treasury, taxation, and regulatory requirements, with capital management expertise an advantage. Strong financial modelling capability. Experience with modern finance systems and data-driven decision-making. Personal Attributes Collaborative and able to work effectively across multiple functions. Benefits Visa sponsorship for the relocation to Lagos, Nigeria Comfort: comprehensive health insurance, 25+ paid vacations and day-offs, personal development plan, annual performance review Purpose: shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary and performance bonus Growth: thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools. Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Commercial Solutions Engineering team are our in-house, customer-facing product experts.  The Commercial SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful.  We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Commercial SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: Join as an early member of a high growth team working together to solve technical and customer problems the right way Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical presentations to potential and existing customers Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape Drive product conversations based on need and problems learned during customer interactions Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: Ideally located on the Central Region of the US 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running. We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership We are a remote-first company so you would need to learn to work and collaborate with an international team You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the United States the OTE (On-Target Earnings) compensation range for this role is $182,000 - $226,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: New York, New York WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy. You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role. WHAT YOU'LL ACHIEVE - Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline. - Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path. - Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate. - Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps. - Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature. SKILLS YOU'LL NEED TO BRING - 4-7+ years of experience selling technical products to technical buyers - Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles. - Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room. - AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working. - Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria. - Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve. - Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles. NICE TO HAVES - Full-cycle B2B software sales experience or solutions engineering experience with a consistent track record of exceeding quota across new logo acquisition and expansion motions - Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals - Prior experience selling to mid-market and enterprise accounts in productivity, collaboration, or workflow software - Experience in a shared account ownership model, partnering with a post-sale or CS team as part of an integrated customer motion Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $216,000 - $276,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/Notion-Global-Recruiting-Privacy-Policy-a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.