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Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is The World’s Identity Company. We free everyone to safely use any technology anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebratea a variety of perspectives and experiences. We are not looking for someone who checks every single box—we’re looking for lifelong learners and people who can make us better with their unique experiences. We are seeking an independent Staff Software Engineer who effectively balances technical excellence with a disciplined approach to the software development lifecycle. What you'll be doing Design, build, and evolve intelligent customer experience solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities. Architect and develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and customer-facing solutions. Build robust backend services and integrations to support customer workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features. Lead the design and delivery of complex customer experience initiatives from technical discovery through production deployment, ensuring scalability, reliability, and maintainability. Develop and refine prompt e

Command by Asana is a new product for R&D teams to keep delivery on track as scope shifts, give managers visibility into progress, and enable humans and agents to work from cleaner context and ship with fewer iterations. We are looking for a collaborative Engineering Manager to lead one of the teams bringing this vision to life. In this role, you will build and empower a talented team of engineers, partner cross-functionally to shape the product roadmap, establish technical foundations, and deliver a superlative user experience. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve - Support, mentor, and grow a talented team of engineers to build a new product from the ground up. - Partner cross-functionally with Product Management, Design, and Data Science to define roadmap priorities and deliver intuitive product capabilities. - Guide architectural and technical decisions to ensure system reliability, performance, and long-term scalability. - Drive operational excellence and continuous delivery processes, enabling the team to iterate quickly and ship value continuously. - Champion accountability for key outcomes, linking your team's everyday work to Asana's broader strategic goals. About you - Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. - Experience guiding and developing software engineering teams in building scalable web applications, ideally with experience leading 0-1 product development. - Solid technical background with a deep understanding of softwar

Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities Apply state-of-the-art ML and LLM techniques to solve problems spanning: Personalization (LLM memory, context summarization, retrieval and ranking); Contextual recommendations and Monetization applications Build frontier agent capabilities on top of Perplexity Computer Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. Proven collaborator and communicator; excels in high-velocity, cross-functional teams. Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus

Databases and data stores are at the center of our applications, for legacy applications and modern AI applications alike. Yet most observability and optimization approaches lack a holistic approach or application context. Datadog has been on a mission to revolutionize how databases are operated, flipping what is often seen as a black box of complexity prone to security and performance risks, into a well oiled machine enabling our builders and businesses to move faster and smarter. We’re looking for an experienced product manager passionate about joining this mission to lead this product opportunity. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead ambitious investments that rethink how customers operate and get value from their databases, diving into ambiguity, working with our customers on new models, and shipping new products and changes to existing products. Develop a deep understanding of our customers and their issues, what problems are really behind those issues, and how we can improve how databases are operationalized across SRE teams, DBAs and application developers. Continuously refine your understanding of database management systems and datastores from SQL and OLTP based to NoSQL e.g. AWS RDS, PostgreSQL, SQL Server, MongoDB, MySQL, etc Define, build and launch the next generation of database monitoring and optimization capabilities for our customers Join a talented engineering team with a record of disrupting observability approaches to further the mission of demystifying and optimizing databases using your team’s creativity, alongside your customers’ problems, as a key resource. Collaborate with other Product teams in Datadog to maintain and improve all Datadog products, improve the seamless integration across th

tl;dr You like to be up to the collection, analyse, and visualisation of data in a business context. Our working language is in English, but it's always easier when you speak the local language(s) ;) The team The DS team is a melting pot of around 100 Data Scientists with various backgrounds, previous experience and affinities. Some have been here since their graduations, others did work in startups, consulting firms or other companies before. Some had an engineering background from the start, others did first a business major before specializing in Data Science. Some studied statistics, others engineering systems. Every day is an opportunity to excel, to learn more and to face new challenges. Thanks to a tailor-made skills development program, you will be able to become a Swiss Army knife in data, all while developing very precise skills in our different expertise. Mission You design and deliver data solutions to and with our clients, which means developing data preparation pipelines, training algorithms, deploying them in infrastructures, and interacting with clients. You contribute to Artefact's internal and knowledge growth as well, by working on internal projects, recruitment interviews, coaching juniors, animations of knowledge-sharing events. Desirable skills If you are an aspiring data and machine learning expert, or if you are already there; If you want to understand our clients' businesses: you are a problem solver, curious, open-minded, and willing to discover the subtleties of different sectors; If you embrace the One-Team spirit; ... contact us! Why should you join us Artefact is the place to be: come and build the future of data and marketing Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration: We believe in bringing talented people together, in winning together, and in learning from each

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 About This Role ClickUp is looking for a Senior Database Reliability Engineer to join our Database Operations team. You’ll be responsible for the performance, integrity, security, and availability of our PostgreSQL databases running on Linux in AWS. This role focuses on day-to-day database administration, operational excellence, and ensuring data is consistently reliable and well-managed across environments. Key Responsibilities Administer, monitor, and maintain PostgreSQL databases (250GB+) in production environments (AWS RDS, Aurora, EC2) Ensure database availability, performance, and data integrity through proactive monitoring and maintenance Perform routine database administration tasks including patching, upgrades, vacuuming, reindexing, and statistics management Execute and manage backup, restore, and disaster recovery procedures, including regular testing of recovery plans Handle user access management, roles, and database security to ensure compliance with best practices Perform capacity planning, storage management, and growth forecasting Troubleshoot database issues, including performance bottlenecks, locking/contention, and failed jobs Support application teams with query tuning, schema changes, and release deployments Manage database migrations, upgrades, and change requests with minimal downtime Maintain documentation for database configurations, standards, and operational procedures Participate in on-call rotations and provide support for production incidents Qualifications 7+ years of experience in a senior database administrator or Database Engineering role Strong hands-on PostgreSQL ad

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, our Solutions Consulting team bridges technical expertise with business context to help customers realize what's possible with our platform. As a Senior Solutions Consultant based in Seoul and supporting enterprise accounts in Korea, you'll partner with Sales to shape technical deal strategies and lead complex customer evaluations. You'll connect customer business goals with Figma's capabilities, align stakeholders across Product, Design, Engineering, IT, and Security, and guide customers toward secure adoption at scale. Beyond individual opportunities, you'll contribute reusable approaches and coach teammates to strengthen the team's effectiveness. This role will be based out of our Seoul hub. What you’ll do at Figma: Lead discovery for complex enterprise opportunities, uncover business priorities and technical requirements, and deliver tailored demonstrations and solution recommendations that connect Figma's capabilities to measurable customer outcomes Partner with Sales to define technical deal strategies, map stakeholders and decision criteria, agree on evaluation success measures, and lead evaluations through to a clear customer decision Own the customer IT and Security relationship throughout the deal cycle, coordinate security questionnaires, RFIs, RFPs, identity and enterprise requirements, and engage specialists to resolve complex questions and adoption risks Synthesize customer feedback across Korean accounts, identify recurring workflow and security needs, and partner with i

Senior Data Analyst – Power BI About the Role We are looking for a Senior Data Analyst with strong hands-on expertise in Power BI, data visualization, and business intelligence to work on a broad range of analytics problems across various industries. The candidate should be able to translate business requirements into actionable insights, develop interactive dashboards, and effectively communicate findings and recommendations to clients. Key Responsibilities Engage with clients to understand their business context, objectives, and analytical requirements. Understand business processes and map end-to-end workflows using visual formats. Translate business problems into analytical frameworks and develop effective BI solutions using Power BI. Design, develop, and maintain interactive dashboards and reports to support business decision-making. Collaborate with Data Scientists, Data Engineers, and business stakeholders to integrate analytics into business processes. Define KPIs, metrics, and reporting requirements based on business objectives. Assess data quality, usability, and sufficiency to achieve desired business outcomes. Perform data analysis, identify trends and patterns, and generate actionable insights. Present analytical findings and recommendations through effective data visualization and storyboarding. Ensure the accuracy, consistency, and quality of dashboards and reports. Desired Skills & Competencies Strong hands-on experience with Power BI, including: Power BI Desktop and Power BI Service. Dashboard development, publishing, and workspace management. Data modelling, relationships, and schema design. DAX measures, calculated columns, and complex calculations. Power Query for data transformation and cleansing. Row-Level Security (RLS) implementation. Data refresh configuration and report performance optimization. Proficiency in MS SQL for data extraction, transformation, validation, and analysis. Experience in translating business requirements int

About the Role The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. Key Responsibilities Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unn

NVIDIA's Digital Marketing Operations team is seeking a Senior Data Engineer to help build the shared data infrastructure that powers customer engagement, campaign intelligence, and marketing analytics at scale. Our data platform transforms customer behavioral signals, audience definitions, consent records, campaign metadata, and activation outputs into trusted, governed data products for marketing, analytics, personalization, campaign operations, and regional teams worldwide. These products enable audience segmentation, campaign performance measurement, privacy-compliant data activation, identity resolution, and the continued growth of NVIDIA's marketing technology ecosystem. We would love for you to apply today! What You'll Be Doing: Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams. Shape its architecture and interfaces while anticipating needs related to scale, reliability, performance, privacy compliance, security, cost, and compatibility. Lead complex, cross-functional initiatives. Collaborate across engineering, marketing, and operations stakeholders to translate requirements into clear data architectures, write high-quality code in the critical path, and drive integrations safely into production. Architect, implement, and evolve batch and streaming pipelines that ingest, transform, reconcile, and serve customer behavioral, audience, campaign, consent, and activation data at scale. Build reliable, maintainable systems leveraging distributed processing frameworks, workflow orchestration tools, cloud data warehouses, object storage, and pub/sub messaging platforms. Build and evolve shared data quality frameworks and engineering standards that improve pipeline reliability, consistency, and efficiency across teams. Lead production incident investigations across pipelines, distributed processing, storage, an

Citibank, N.A. seeks a Program Management Senior Lead for its New York, NY location. Duties: Support the HR data transformation agenda through the design and execution of the enterprise wide HR Data Governance and Data Management strategy. Responsible for delivering regulatory aligned HR data capabilities, reducing data risk, and supporting successful outcomes in internal audits and regulatory validations. Contribute to the planning and execution of the HR data transformation portfolio by translating Consent Order requirements into clear, evidence based deliverables and supporting Internal Audit validation and approval for issue closure. Support cross functional initiatives across the Data organization, facilitate engagement with Internal Audit, and establish effective change management approaches to support adoption and sustainability. Collaborate with HR, Compliance, Risk, Technology, and Audit stakeholders to support transparent reporting on progress, risks, and mitigation strategies in alignment with regulatory commitments. Support enterprise wide HR data transformation initiatives with a focus on Data Governance and Data Management. Engage with cross functional stakeholders to support sustainability objectives, enhance decision making, improve efficiency, mitigate risk, and promote data quality. Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders. Synthesize current business intelligence or trend data to support recommendations for action. Coordinate the timely flow of business intelligence information to users. Translate Consent Order milestones into evidence backed closure artifacts and support Internal Audit validation. Ensure HR data provisioning, sharing, and retention align with Citi Data Governance and Privacy Policies by codifying decisions into repeatable controls. Modernize HR data pipelines and metadata, enforcing data go

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Software Engineering Overview Consumer Data Management (CDM) enables secure, compliant, and scalable consumer identity, consent, preference, and engagement capabilities across Mastercard’s ecosystem. We are looking for a Director, Software Engineering based in Dublin to lead engineering teams responsible for building, modernizing, and operating CDM platform capabilities. This role is focused on strong engineering leadership, AI-enabled PDLC/SDLC practices, modern delivery discipline, and building a flexible organization that can scale across platform priorities with quality, resilience, and security. Role • Lead engineering teams that design, build, test, release, and operate scalable, secure, and resilient CDM platform capabilities. • Set technical direction, guide architecture decisions, and translate product priorities into clear engineering outcomes. • Raise the quality bar across design, code quality, testing, performance, secure development, release readiness, and production support. AI-enabled Engineering & Modern Delivery • Drive modern PDLC/SDLC practices across planning, design, build, test, deploy, operate, and continuous improvement. • Apply AI responsibly across the engineering lifecycle, including analysis, design, coding, testing, documentation, operations, and producti

JOB DESCRIPTION: Main Responsibilities •Understand and implement the brand strategies & plan to grow the business and identify opportunities to expand sales and productivity of assigned department. •Develop and execute marketing program to make sure on-time-delivery with high quality. •Lead to build and maintain professional relationship with KOLs through advisory meeting, sponsorship, site visit and attendance at key congress. Utilize KOLs to drive marketing message and brand noise for demand creation. •Create and develop marketing materials including evidence-based messages, clinical tools, product slides, handbook… etc. •Closely work with ethical sales team for developing education contents and activation plans for HCP& patient education to drive downstream. •Monitor and control marketing expenses in line with budget on monthly basis. •Assist Line Manager in other additional tasks as requested Background & Education Required •Bachelor’s degree or above •With 3-5 years’ working experience in Pharmaceutical or Clinical Nutrition or Healthcare market. •Minimum 1 year’s working experience in product management with multi-national companies. Minimum 1 year sales experience background is preferred. •Good command of written and verbal English. The base pay for this position is N/A In specific locations, the pay range may vary from the range posted. JOB FAMILY: Product Management DIVISION: ANI International Nutrition LOCATION: China > Shanghai : 388 W. Nanjing Road, Ciros Plaza<p

Job ID: 111268 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models. Write production modeling code; collaborate with Software Engineers to implement algorithms in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics and analytical tools to track and monitor growth. Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines. Experience with building and evaluating optimization and inference models, and predictive modeling. Experience with writing production quality computer code and using MATLAB, R, and Python. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is

Job ID: 111267 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, Product Designers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Collaborate with Software Engineers to implement algorithms and analytics events in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Physics, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics, analytical dashboards, and tools to track and monitor growth. Experience with statistics, business forecast and estimates, and authoring data pipelines. Experience with writing production queries and experiment design and analysis. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orienta