About the team OpenAI’s Education team is building products and experiences that help learners, educators, and institutions benefit from AI in ways that are rigorous, useful, and grounded in real learning outcomes. The work spans both consumer and B2B education, with close collaboration across engineering, learning science, design, data, and research. This team sits in a highly strategic investment area for OpenAI, with strong opportunities to shape how product ideas flow across consumer and institution-facing experiences. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the role We’re looking for a product-minded Full Stack Engineer to help build OpenAI’s education products from the ground up. You’ll own end-to-end development across the stack, from early concepting and prototyping through production launch and iteration. This is an opportunity to work on a highly strategic, early-stage product area where engineering judgment, product sense, and customer empathy all matter. You’ll partner closely with leaders across the education org, including learning scientists, researchers, designers, and cross-functional partners, to turn emerging ideas into durable product experiences for schools, universities, and other education stakeholders. In this role, you will: Build and ship product experiences across the full stack for OpenAI’s education offerings Own projects end-to-end, from ideation and technical design through implementation, launch, and iteration Work closely with learning scientists and researchers to translate learning goals and evidence into product decisions Collaborate with design, data, and cross-functional partners to build thoughtful, high-quality user experiences Help define the engineering foundation for a growing education pod, including patterns, systems, and technical
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Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. What you will be doing? We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems. Key Responsibilities Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs. Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices. Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability. Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines. Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives. Mentorship: Lead project workstreams and
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary: Introduction As a Principal Engineer in the Advanced Package Technology Development team at Micron, you will join a dynamic group focused on innovation and collaboration. This role lets you influence solutions that align with company goals. It contributes to increased revenue and strategic successes. You will work at our Boise campus and help develop leading technology in the industry. Responsibilities and Duties include, but not limited to: Deliver high-value, differentiated technology solutions by finding opportunities and driving technical innovation to provide business value. Collaborate continuously with internal and external partners to ensure seamless technology integration. Consult and influence technical and strategic decisions at senior management levels. Lead multi-disciplinary technical teams and task forces to achieve strategic goals. Maintain effective communication with collaborators. Analyze and understand competitive trends to improve Micron’s competitive edge. Participate actively in technology events, contributing to industry knowledge. Guide the development of packaging technology roadmaps. Assess competitive metrics through data intelligence for strategic adv
FEQ227R255 The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, l
About the Role We are seeking a Cloud Infrastructure Engineer to help design and evolve the platforms that power OpenAI’s products. In this role, you will be a hands-on technical leader, driving the architecture, scalability, reliability, and security of critical infrastructure systems. You will help define how we build and operate infrastructure at the next order of magnitude, while influencing technical direction across teams. This role is both deeply technical and highly strategic, requiring strong ownership, sound judgment, and the ability to partner effectively across engineering, product, and research organizations. In this role, you will: Design and build scalable, reliable, and secure infrastructure platforms that power OpenAI products Evolve cloud infrastructure abstractions that enable rapid product development across teams Architect systems to support significant growth, performance, and operational complexity Improve server orchestration, networking, distributed systems reliability, and infrastructure security posture Influence technical direction and infrastructure strategy across multiple teams Partner closely with product, research, and engineering teams to align infrastructure with evolving needs Own operational excellence, including participation in on-call rotations, incident response, and production readiness Mentor engineers and raise the overall technical bar of the organization Contribute to a culture of high ownership, low ego, and thoughtful collaboration You might thrive in this role if you: 8+ years of experience building and operating large-scale infrastructure systems Deep expertise in Kubernetes and container orchestration at scale Strong experience designing cloud abstractions and platform infrastructure (AWS, GCP, Azure, or similar) Proven track record of leading complex technical initiatives across teams Experience operating highly reliable, secure, and scalable distributed systems Security engineering experience or security backgroun
About Hexnode Hexnode is a global leader in Unified Endpoint Management (UEM), trusted in over 100 countries and managing millions of devices worldwide. With continuous innovation across Apple, Windows, Android, macOS, Linux, and tvOS ecosystems, Hexnode is redefining enterprise mobility and cybersecurity. As we expand our Extended Detection and Response (XDR) capabilities, we are building a next-generation data platform designed for massive scale, real-time intelligence, and high-performance security analytics. The Role We are looking for a Senior Data Platform Engineer to architect, scale, and optimize the core data infrastructure powering our XDR product. In this role, you will take ownership of the strategic evolution of our data layer — ensuring seamless ingestion, storage, indexing, search, and retrieval of high-volume security telemetry and device data. You will play a key role in transforming our platform into a highly scalable, cost-efficient, secure, and analytics-ready ecosystem that supports real-time detection, investigation, and advanced data science workflows. This is a high-impact individual contributor role focused on architecture, platform modernization, and long-term scalability. Key Responsibilities Architect and evolve the data layer to support high-throughput ingestion, real-time processing, and low-latency search across massive datasets. Evaluate existing search and storage platforms and drive modernization initiatives toward more scalable, performant, and cost-effective solutions. Design and implement optimized indexing, partitioning, and data structuring strategies for efficient querying and retrieval. Build and manage scalable data lake architectures that support advanced analytics, threat intelligence, and data science workflows. Define strategies for lifecycle management, retention, tiered storage, and cost optimization across the data platform. Ensure high availability, fault tolerance, and disaster recovery across distributed systems. I
About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. At Ubiquiti, pre-sales engineering is not a support function—it’s a strategic lever. You’ll work at the intersection of customers, partners, and product, helping define how modern IT infrastructure is designed, deployed, and scaled. The Role We’re looking for a Pre-Sales Engineer who thrives in ambiguity, thinks in systems, and enjoys turning complex, real-world problems into simple, scalable solutions. You’ll work across Ubiquiti’s expanding ecosystem—including routing, switching, security, SD-WAN, cameras, and access control—partnering with enterprise customers, MSPs, and internal teams to design architectures and influence product direction. This is not a traditional, script-driven sales engineering role. You’ll be expected to operate with autonomy, challenge assumptions, and contribute to how UniFi evolves—not just how it’s sold. What You'll Do Own problem discovery and design scalable solutions across networking and physical security, even when requirements are unclear Create presentations, demos, and training content that translate complex systems into clear, compelling narratives Translate customer and partner needs into structured, actionable feedback that informs product direction Scale the Partner Program by onboarding new MSPs/SIs and growing existing partners through repeatable, high-quality deployments Support
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is critical for continued growth. The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled Engineering Manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders. We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S. Target Skills and Expertise The Engineering Manager (EM) will be responsible for defining the team’s vision, setting strategic direction, and executing a technical roadmap for conversion modeling at Reddit. This involves: Model Architectures: Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling. ML Frameworks: Proficiency with mainstream ML libraries (TensorFlow, PyTorch). End-to-End ML Lifecycle: Experience in training, testing, and deploying production-grade machine learning models. Data Pipelines: Experience orchestrating large-scale data generation an
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. The Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing
CAPCO POLAND We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions. Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry. We also are: Experts in banking and payments, capital markets, wealth and asset management Focused on maintaining our nimble, agile, and entrepreneurial culture Committed to growing our business and hiring the best talent to help us get there THINGS YOU WILL DO Main task is to support financial management activities within large-scale, global transformation programmes, focusing on cost control, financial reporting, resource allocation ensuring alignment with strategic objectives and stakeholder expectations. Key Responsibilities: Support programme financial planning, budgeting, and forecasting processes. Manage recourses tracking, including identification, validation, and reporting of financial metrics. Collaborate with project teams, finance departments, and senior stakeholders to ensure financial transparency and accountability. Develop and maintain financial dashboards and executive-level reports. Participate in programme governance forums, including Steering Committees, providing financial insights and updates. Requirements: Minimum 5 years of experience in a PMO in financial environment within a project or programme environment. Proven experience supporting international transformation programmes. Proficiency in project and financial management tools (e.g., MS Project, Power BI, Excel, SAP). Strong analytical skills and ability to communicate financial data effectively to diverse audiences. Banking/Financial experience is a must You are open to work in hybrid setting two office days per week Fluent in English Agile, JIRA, Confluence experience
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. This role is open to people who are currently in a product leadership role or someone in an engineering leadership role that is interested to make the switch into product. This role combines experienced product management leadership with the pivotal responsibilities of a Group Product Lead, offering an opportunity to shape the product strategy and the missions of several teams. You will oversee the product management execution working closely with the product managers for several cross-functional software engineering teams around the world. This position reports to the Head of Product for the Platform Engineering Strategic Business Unit, which is responsible for Appian Cloud offering. An excellent candidate will come with a wide range of experience in a product leadership role in the cloud infrastructure domain at a software-as-a-service firm. The product portfolio owned by this position will cover a wide range of cloud native infrastructure and services – from the highly available, resilient, scalable, and efficient infrastructure components on which all Appian Cloud services operate to the the scalable, enterprise-grade managed services that power the backend data persistence and event streams for customer sites in Appian Cloud. You will provide product management leadership for initiatives that deliver efficient and scalable infrastructure, core compute capacity, and managed data planes as multi-tenant services to accelerate the innovations of Engineering teams throughout the department. Your portfolio will include aspects that intersect with AWS accou
CSQ227R28 As a Manager (Forward Deployed Engineering) , you will hire & manage Big Data Engineers / Architects and participate in technical and design discussions with regions and customers. You will also assist our customers by overseeing projects in their Databricks journey and provide them with the guidance, knowledge, and enable them to accomplish the value and achieve their strategic objectives using our products. This individual is expected to be based in Bengaluru. The impact you will have: Hire great people and provide technical guidance, career development, and mentoring to team members Participate in key technical and design discussions with technical leads in the team as a hands-on manager Experience leading the development of IP, reusable tooling , and assets for field professional services teams and partners Partner with key business stakeholders to prioritise work and create amazing products to support our data platform. Manage a team of technical data engineers to achieve customer, company, and team goals Acts as the first point of escalation for customers when they have questions with our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues. Provide input to grow and improve internal processes and customer success service offerings. Effectively builds and leverages customer relationships throughout the sales and delivery process. What we look for: 12+ years of industry experience 6+ years of successful experience in a customer facing role 4+ years of experience leading a technical team of Data Engineers / Architects Extensive experience in Big Data ecosystem (Spark, Hadoop ecosystem, Cassandra etc) Knowledge of AWS / Azure / GCP Knowledge of Databricks ecosystem is a plus Proven documentation skills, along with strong project management experience. Strong abilities manage multiple engagements , while delivering extremely high levels of customer satis
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a high-impact Professional Services Business Development Director to join our Professional Services Sales team. This role owns the end-to-end sales cycle for Smartsheet’s Services Portfolio and drives customer value by positioning Smartsheet as a strategic partner. We are seeking candidates who operate by: leading complex, multi-solution pursuits, influencing executive stakeholders, and applying value based selling to measurable business outcomes. You will report to the Director, Customer Outcomes and this is a remote eligible role. You Will: Own the services sales cycle: Lead pursuits from early qualification through signed Statement of Work (SOW), with or without AE/SE support Elevate conversations: Uplevel customer and account team discussions across the Customer Outcomes lifecycle to influence platform adoption, multi solution expansion, and long term value creation Drive value-led selling: Apply value frameworks (e.g., Smartsheet Value Selling, MEDDIC, Challenger) to uncover priorities, link them to Smartsheet solutions, and advise the customer through opportunity closed-won Engage executives: Develop trusted relationships with executive sponsors, procurement, and key decision makers to accelerate deal velocity and eliminate last mile friction Generate and progress pipeline: Maintain ~3× coverage by identifying whitespace, creating new opportunities, and advancing stalled pursuits with clear next steps and mutual action plans Forecast with discipline: Use Salesforce and Clari for precise pi
FEQ227R53 As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and our users Become an expert in, pro
About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: The Collections & Credit Risk Recovery team acts as the strategic bridge between creditors and consumers. The team is responsible for managing portfolio health, controlling credit risk across loan buckets, overseeing multi-region collection operations, addressing critical customer escalations, and implementing scalable recovery and repayment strategies across Paytm's digital lending portfolio. About the Role: As a Regional Collections Manager (RCM), you will lead the overall collections performance, portfolio health, and recovery targets for a designated region. You will directly manage a team of Area Collection Managers (ACMs), driving their performance, operational efficiency, and team productivity. This leadership role demands strategic oversight to control flow rates, manage agency ecosystems, handle high-level escalations, and ensure strict adherence to regulatory and compliance guidelines across all areas within the region. Key Responsibilities & Expectations: 1) Regional Target Ownership: Drive regional collection targets, minimize roll-forwards/flow cases, manage non-starters, and maintain portfolio yield across all delinquency buckets (X-Bucket to Write-Offs). 2) Team Leadership & ACM Management: Directly manage, mentor, and track the performance of Area Collection Managers (ACMs). Conduct regular weekly/monthly operational reviews to monitor team productivity, field allocation, and target achievement. 3) Capacity Planning & Resource Allocation: Ensure optimal deployment of internal Collection Executives and external collection agencies ("Feet on Street") based on bucket-wise and segment-wis
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