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: Paytm Ads is Paytm's digital advertising vertical that offers innovative ad solutions to clients across industries It offers advertisers the opportunity to engage with 300Mn+ users who interact with over 200 payment & retail services, online and offline - offered on the Paytm app. Paytm Ads maps the user transactions to their lifestyle choices and creates customized segmentation cohorts for sharp shooting ad campaigns to the most relevant TG. Expectations/ Requirements We are hiring for the role of Government Ad Sales for FMCG, Consumer. Internet, Gaming verticals. The responsibilities would be as follows: Become an expert in Paytm Ads solutions for businesses of all sizes and adapt recommendations quickly to suit varying client needs Experience in handling Government clients is must. Own end-to-end key business metrics like ads revenue, educate and lead strategic conversations with clients and navigate complex relationships Be the voice of Paytm ads in the industry and present Paytm's advertising solutions to CXOs, media heads, brand managers, agency partners of large brands in the market Build a strong pipeline of media briefs and respond with customized pitches and proposals aligned with the client’s business and marketing objectives Work closely with the campaign delivery and optimization team to monitor and deliver expected results to the advertiser Lead initiatives which require significant cross team collaboration to build innovative advertising solutions for key advertisers Provide constant feedback to the product team to improve advertising performance and customer exper
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About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. Role Overview We are looking for a technically strong and customer-oriented Engineering Manager to lead the development of AI applications for Saudi government clients. This role sits at the intersection of engineering leadership, AI/ML delivery, and direct client engagement—requiring someone who is equally comfortable presenting to a government stakeholder as they are reviewing a system architecture or shipping code. As a founding member of our regional team, you will help define how Scale AI shows up for some of the most ambitious public sector AI initiatives in the Gulf. If you thrive in fast-paced, high-impact environments and want to shape the future of AI in government, we would love to hear from you. What You'll Do Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery Serve as the primary technical point of contact for KSA government stakeholders—translating complex engineering concepts into clear, accessible language for non-technical audiences Design, build, and optimize full stack AI applications end-to-end, fro
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is looking for a Public Sector Partner Manager to build and grow a high-performing ecosystem of Global System Integrators (GSIs) and Influence Partners (IPs) across the UK Public Sector. You will develop strategic partnerships that help government organisations overcome fragmented data, strengthen cyber resilience, modernise operations, and build trusted foundations for AI adoption. Working across Central Government, Defence, Healthcare, Public Safety, Education, and Critical National Infrastructure, you will enable partners to deliver measurable customer outcomes while driving sustainable growth for both Elastic and our ecosystem. Success is measured by the strength of the partner community you build, the capabilities you develop, the customer outcomes you enable, and the long-term value you create. What You'll Do Build and grow strategic GSI and IP partnerships across UK Public Sector. Create executive relationships that drive joint growth and customer success. Develop partner capabilities through enablement, certifications, and solution development. Lead joint go-to-market initiatives with Sales, Solutions Architecture, Services, Marketing, and Customer Success. Drive partner-sourced and partner-influenced pipeline through strategic account planning and pursuit engagement. Foster a culture of collaboration, reuse, and innovation across
Forward is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin — a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment. Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward customers realize an average of $14.2 million in annual benefits through improved efficiency and security. Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations. Forward is currently seeking experienced Java developers to work as part of our Network team. Responsibilities Help bring the best ideas from the software development world into the networking industry. Contribute to our code base, systems and software architecture as a member of our engineering team. Help create and optimize network device models for different device vendors and protocols. Help create infrastructure needed to configure, collect and test network devices. Work with peers who are experts in Networking, Distributed Systems, Big Data and Search. Requirements 5+ years of work experience in software development 3+ years of work experience with Java BS in Computer Science or related degree Solid software engineering experience with large code bases Basic understanding of networking and TCP/IP. Strong verbal and written communication skills. Nice to haves Working knowledge of how switches, routers, firewalls or load balancers work. Experience working with networking protocols such as BGP/OSPF/IS-IS, IPv4/IPv6, MPLS, VLAN, VXLAN, etc. This position is a re
Role Summary Lead a high-stakes team of Product Managers responsible for successful delivery and integration of Scale products into complex customer environments. Own the feedback loop that converts bespoke field wins into scalable, repeatable product strategy, partnering deeply with Sales/GTM and EPD (Eng/Product/Design). Core Responsibilities Hire, mentor, and deploy PMs across strategic accounts (e.g., Fortune 100, government). Identify patterns across deployments; decide which bespoke solutions should move from custom to core product. Primary product partner to Sales/GTM leadership to align roadmap with market demand. Provide strategic + technical oversight to unblock high-priority deployments in “red zones.” Champion the voice of the field within internal EPD teams. Ideal Background 10+ years of product leadership, including 4+ years managing Product Management teams. Experience in forward-deployed models or top-tier technical consulting / implementation. High technical IQ: comfort with APIs, data pipelines, SQL; understands how data quality affects model performance. Extreme ownership + systems thinking; navigates complex stakeholder landscapes from engineers to C-suite. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be
We are Datadog's in-house product experts. The Datadog Federal Support Engineering team is dedicated to serving as highly trusted technical advisors for our Public Sector customers, who operate within some of the most highly regulated and security-constrained environments. These customers include various government agencies and organizations with critical, sensitive missions. As a Federal Support Engineer 3, this role places you at the forefront of supporting these customers' mission-critical workloads. These complex workloads are often deployed across sophisticated hybrid and multi-cloud architectures, requiring deep expertise in cloud technologies, monitoring, and security best practices. Your primary responsibility is to ensure the complete success of these customers across their entire lifecycle with Datadog. Whether you’re looking to learn from the best or be the best, the Federal Support team is dedicated to furthering personal development and team success. 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: Engage with public sector customers via multiple channels (ticketing system, live chat, calls, and screensharing tools) to identify and resolve technical support requests. Troubleshoot, investigate, and resolve complex technical issues in highly constrained environments across Datadog's 1000+ integrations, often with limited logs or sanitized data. Handle urgent escalation cases that may result in customer-facing troubleshooting calls, and internal or external incident management Become a subject matter expert in many Datadog product areas Partner with Product, Engineering, and Account teams to to validate bugs and advocate for customer-impacting improvements Provide mentorship to junior members of the team and serve
Employment Type: Full-time & Permanent. Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance). Salary: USD 65,000 per annum + performance based bonus - 0% tax environment. Employee Share Scheme : Opportunity to join Cobblestone Employee Share Scheme. Annual Leave: 30 Calendar Days. Public Holidays: As declared by UAE Government annually (8 to 14 days). Probation Period: 3 to 6 Months (as per UAE Labour Law). Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental). Residency Visa Sponsorship: Provided by the Company. Relocation Support: Available for candidates relocating to Dubai. End of Service Gratuity: As per UAE Labour Law. About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. Cobblestone Values Excellence in Hiring & Teamwork Lifelong Learning Through Continuous Reflection Independent Thinking Through a Meritocracy of Ideas Winning What we offer in this role A full-time position on our Commercial team Committed and remarkably talented colleagues. Highly competitive compensation dependent on performance An exciting, challenging and fulfilling career. Investment in your development to ensure that you always remain the best in business. Equity participation for strong contributors, ensuring our interests are all aligned long term. Key Responsibilities: Support traders within your designated market team to develop and refine trading strategies Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your market Build and maintain
Employment Type: Full-time & Permanent. Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance). Salary: USD 65,000 per annum + performance based bonus - 0% tax environment. Employee Share Scheme : Opportunity to join Cobblestone Employee Share Scheme. Annual Leave: 30 Calendar Days. Public Holidays: As declared by UAE Government annually (8 to 14 days). Probation Period: 3 to 6 Months (as per UAE Labour Law). Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental). Residency Visa Sponsorship: Provided by the Company. Relocation Support: Available for candidates relocating to Dubai. End of Service Gratuity: As per UAE Labour Law. About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. Cobblestone Values Excellence in Hiring & Teamwork Lifelong Learning Through Continuous Reflection Independent Thinking Through a Meritocracy of Ideas Winning What we offer in this role A full-time position on our Commercial team Committed and remarkably talented colleagues. Highly competitive compensation dependent on performance An exciting, challenging and fulfilling career. Investment in your development to ensure that you always remain the best in business. Equity participation for strong contributors, ensuring our interests are all aligned long term. Key Responsibilities: Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies Strategy Re
Full-Time | Remote About the Role We are seeking a skilled DevSecOps Engineer to design, deploy, and maintain secure, cloud-native infrastructure supporting Department of War customers. You will work across container platforms, CI/CD pipelines, and government cloud environments to deliver hardened, compliant software systems at scale. This role sits at the intersection of platform engineering, security, and DevSecOps and requires a strong understanding of DoW policies, toolchains, and accreditation processes. Key Responsibilities Design and maintain Kubernetes-based infrastructure, including cluster provisioning, RBAC configuration, network policy, and workload management Package and deploy applications using Helm charts; maintain chart repositories and manage release lifecycle across environments Implement and enforce policy controls using Istio service mesh, OPA Gatekeeper, Kyverno, and related Kubernetes admission controllers Build and maintain CI/CD pipelines using GitLab CI, GitHub Actions, Jenkins, or equivalent tooling; integrate automated security scanning and compliance gates Deploy and operate workloads on AWS GovCloud and Azure Government; architect for high availability, disaster recovery, and cross-region compliance requirements Manage and harden container images; integrate with Iron Bank, Platform One, and other DoW-approved registry sources Configure and maintain observability stacks including Prometheus, Grafana, and Datadog; develop alerting, dashboards, and SLO frameworks Participate in ATO processes, support STIG/CIS compliance scanning, and contribute to System Security Plans (SSPs) and documentation artifacts Collaborate with development, security, and program teams to establish and refine DevSecOps practices across the software delivery lifecycle Support air-gapped and classified environment deployments; design solutions for offline image transfer, registry mirroring, and artifact management Coordinate with government platform teams and managed
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con
Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward Networks is looking for a Systems (Sales) Engineer Do want to create a category and help build a special company? Do you want to help sell a platform that solves real networking problems? Join a company that has been in market 5+ years and has some of the top Federal agencies and F500/Global 2000 already buying and referenceable. If you have 5-10 years of wildly successful experience as a Sales Engineer selling to large enterprise accounts..you may be the one! We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it. Responsibilities: Serve as the primary technical resource for the sales organization working with large enterprise accounts. Work with the sales team as the product advocate and key technical adviser Drive and manage the te
About Team & About Role The Site Reliability Engineering (SRE) team at Rubrik ensures the absolute reliability, availability, performance, and security of our enterprise infrastructure services, spanning both global SaaS platforms and government-compliant environments. We operate at the intersection of software development and systems engineering, prioritizing hyperscale platform automation, self-healing architectures, and structural resiliency. As a Staff Site Reliability Engineer, you will serve as a primary technical leader and architect across our broader distributed cloud systems. You will drive long-term technical roadmaps, establish cross-organizational reliability standards, and solve complex distributed systems challenges that safeguard both enterprise and public sector environments. Beyond the core SRE charter, this Staff role also leads the Application-SRE team — a US-based group that partners closely with engineering, Sales, and Support to unblock POCs, drive complex customer escalations to resolution, and convert recurring field signals into engineering and reliability roadmap items. You will be the technical leader and project owner for Application-SRE: setting direction, tracking commitments, and ensuring the team operates as a high-leverage bridge between the field and the broader engineering org. What You'll Do As a Staff Site Reliability Engineer, you will possess engineering-wide influence and take ownership of the following critical areas: Infrastructure Strategy & Architecture: Formulate and execute the architectural vision for Rubrik's Cloud Platform, optimizing backend infrastructure systems like Kubernetes, MySQL, and cloud-native services for performance, security, and multi-region scale. Hyperscale Automation & Platform Tooling: Build, scale, and maintain sophisticated custom internal tools, platform controllers, and automation frameworks in Go or Python to systematically eliminate operational toil. AI Infrastructur
We are seeking a Salesforce Engineer III to design, build, and support secure, scalable Salesforce solutions that support critical business operations. This is a senior individual contributor role requiring strong hands-on technical expertise, sound engineering judgment, and experience working in regulated environments. This position supports systems and data subject to FedRAMP and other U.S. government compliance requirements. Due to the nature of the work, U.S. citizenship is required. This role will be based remotely in the United States. What You’ll Do Design, build, and maintain Salesforce solutions across sales, service, customer, and operational workflows Implement functionality using Salesforce configuration, Flows, Apex, Lightning Web Components (LWC), SOQL, and platform automation Develop and support integrations between Salesforce and external enterprise systems Translate business requirements into secure, scalable, and maintainable technical solutions Participate in technical design reviews, sprint planning, code reviews, testing, deployments, and production support Troubleshoot and resolve issues related to automation, integrations, data integrity, and system performance Create and maintain technical documentation, support UAT and regression testing, and assist with user enablement Ensure all solutions comply with Salesforce best practices, internal security standards, and regulatory requirements Leverage AI-powered development tools to improve productivity and analysis, while adhering to security and compliance guidelines Responsibilities Technical Delivery: Own end-to-end delivery of Salesforce features using a mix of declarative and programmatic solutions Secure Engineering: Design and implement solutions that meet FedRAMP, security, and compliance requirements, including least-privilege access and auditability Integration Design: Build and maintain secure integrations between Salesforce and downstream systems Engineering Excellence: Maintain high st
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