Jobs at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Marketing Project Manager/Growth Marketing Manager based in United Arab Emirates. This role combines strategic marketing project management with hands‑on growth experimentation across digital products. You’ll analyze markets, competitors, traffic sources, and acquisition funnels to uncover high‑impact growth opportunities. You’ll turn insights into clear hypotheses, prioritize experiments, and lead cross‑functional initiatives from concept through execution. Working closely with brand, performance, and product teams, you’ll help optimize conversion, ROAS, and customer journeys. You’ll also leverage AI tools and automation to accelerate research, reporting, creative workflows, and operational efficiency. The role offers significant ownership in a fast‑paced, international environment where data, experimentation, and continuous improvement drive decisions. It is well suited to a proactive marketer who enjoys connecting strategy, analytics, execution, and measurable business outcomes. Accountabilities • Analyze markets, competitors, traffic sources, and digital acquisition trends to identify opportunities for new funnels, creative concepts, and growth initiatives. • Translate research and performance insights into actionable hypotheses, prioritizing experiments based on potential impact and clearly defined success metrics. • Lead cross‑functional marketing projects designed to validate new funnels and optimize existing ones for conversion, ROAS, acquisition, and retention. • Collaborate with brand, performance marketing, and product teams to ensure growth initiatives are aligned with broader business objectives. • Design, coordinate, and monitor A/B tests and other growth experiments, documenting results and translating findings into actionable recommendations. • Use AI tools and automation to streamline market research, reporting, analysis, creative production, and recurring marketing workflows. • Build dashboards, reporting frameworks, and performance‑tracking processes to monitor funnel performance and experiment outcomes. • Identify delivery bottlenecks and operational inefficiencies, recommend process improvements, and drive projects through to completion within agreed timelines. • Prepare recurring reports, growth playbooks, market analyses, experiment summaries, and recommendations for future initiatives. • Maintain clear project documentation, priorities, milestones, and communication across stakeholders using appropriate project management tools. Requirements • 3+ years of experience managing growth or marketing projects within digital products or similarly fast‑paced environments. • Strong understanding of digital acquisition and retention funnels, including Paid Social, PPC, CRM, SMM, SEO, and brand campaigns. • Demonstrated experience designing, coordinating, or managing A/B tests and growth experiments. • Strong analytical capabilities and practical experience with marketing research and analytics tools such as Google Analytics, Similarweb, Ahrefs, Meta Ads Library, or comparable platforms. • Hands‑on experience with project management systems such as Notion, Asana, Jira, ClickUp, or similar tools. • Proven ability to integrate AI and automation into marketing workflows, with experience using tools such as ChatGPT, AI agents, n8n, Replicate, Fal.ai, custom GPTs, or comparable technologies. • Strong communication and reporting skills, with the ability to synthesize complex information into clear business insights and decisions. • Excellent prioritization, organization, and project coordination skills, with the ability to manage multiple initiatives simultaneously. • Proactive ownership mindset, strong follow‑through, and comfort working independently in a rapidly changing environment. • Ability to collaborate effectively with multidisciplinary teams and communicate clearly with both technical and non‑technical stakeholders. Benefits • Fully remote, full‑time opportunity with the flexibility to work from locations supported by the organization. • Compensation range or initial pay level shared with candidates during the recruitment process and before employment begins. • 28 calendar days of vacation per year. • 7 wellness days annually for personal, household, or recovery needs. • Referral bonuses of up to $5,000 for successful candidate recommendations. • 50% reimbursement for professional training, international conferences, and relevant industry events. • Corporate discounts for English‑language lessons. • Health support, including reimbursement of up to $1,000 gross per year for eligible employees who are not covered by corporate medical insurance, applicable toward health insurance or eligible medical expenses for the employee and close relatives. • Workplace support, including equipment and coworking resources where available, or reimbursement of qualifying home‑office and coworking expenses of up to $1,000 gross once every three years. • Internal recognition and rewards program allowing employees to exchange earned rewards for merchandise, team‑building activities, massage certificates, and other benefits. • International and collaborative working environment with opportunities for professional growth and exposure to innovative marketing and AI‑driven workflows. #J-18808-Ljbffr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Manager, Data Activation based in United Arab Emirates. This role offers the opportunity to shape the strategy and execution of a critical data activation product within the advertising and marketing technology ecosystem. You will work closely with executive leadership to define the roadmap while owning delivery from concept through launch and optimization. The role focuses on connecting proprietary consumer intelligence to major platforms used for audience activation and media buying. You will help build scalable partner integrations, improve activation operations, and influence API and integration architecture. Working across Product, Engineering, Sales, Customer Success, and Solutions Engineering, you will balance strategic priorities with complex technical and business requirements. This is an ideal opportunity for a product leader who combines AdTech expertise, strategic thinking, and strong execution. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 Accountabilities: • * Partner with executive leadership to define, refine, prioritize, and execute the Data Activation product strategy and roadmap. • Translate strategic objectives into business cases, functional requirements, user stories, acceptance criteria, and actionable Jira artifacts. • Build and own a scalable partner integration platform supporting DSPs, SSPs, identity providers, data platforms, CTV platforms, Retail Media Networks, and other activation endpoints. • Define integration architecture, data flows, partner onboarding frameworks, and repeatable implementation processes. • Collaborate with Engineering and Product leadership on API strategy and next-generation integration architecture. • Own activation product operations, including taxonomy governance, audience segment quality assurance, partner certification workflows, and operational processes. • Establish product success metrics, evaluate launch performance, and incorporate insights into future roadmap decisions. • Partner with Customer Success, Sales, and Solutions Engineering to support customer growth, adoption, and successful product implementations. • Evaluate, prioritize, and manage incoming product requests while balancing customer needs, strategic priorities, technical considerations, and business objectives. • Drive scalable product frameworks and processes that improve operational efficiency and create lasting business value. Requirements • Significant Product Management experience in digital advertising, AdTech, marketing technology, streaming, or a closely related environment. • Proven experience managing partner integrations involving DSPs, SSPs, identity providers, data collaboration platforms, or similar technologies. • Strong understanding of identity resolution concepts, including HHID, UID2, MAID, HEM, identity graphs, and related activation workflows. • Hands-on familiarity with platforms and ecosystems such as The Trade Desk, LiveRamp, Adobe Experience Platform, Salesforce CDP, Google DV360, Meta, and clean room technologies. • Deep knowledge of programmatic advertising, audience activation, taxonomy management, and measurement. • Ability to participate effectively in API design discussions and integration architecture decisions. • Strong expertise in writing product requirements, user stories, acceptance criteria, and managing Jira backlogs. • Excellent written communication, stakeholder management, prioritization, and cross-functional collaboration skills. • Experience with CTV, Retail Media Networks, or Walled Garden activation is preferred. • Familiarity with clean room environments and data collaboration platforms is an advantage. • Experience developing scalable and repeatable product frameworks. • Experience using AI tools to analyze data and support product decisions is a plus. • SQL or scripting experience is an advantage. • Ability to navigate ambiguity, manage competing priorities, and combine strategic thinking with hands-on execution. Benefits • Competitive salary and comprehensive benefits package. • Medical, dental, and vision coverage. • Open paid time off. • Fully remote, flexible work environment. • Professional growth and development opportunities. • Opportunity to influence product strategy and work directly with executive leadership. • Exposure to innovative AI-powered marketing, consumer data, and advertising technology products. • Opportunity to work with enterprise customers and leading advertising and data platforms. • Occasional travel opportunities for team or client meetings.

Engineering Manager, Data Platform & ML Ops This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager, Data Platform & ML Ops based in United Arab Emirates. This role offers the opportunity to lead a high-performing engineering team building the foundation for advanced data and machine learning capabilities. You will oversee critical platforms that power analytics, intelligent products, and scalable ML operations. The position combines technical leadership, people management, and strategic decision-making in a fast-moving environment. You will guide engineers, influence architecture, and establish best practices across data infrastructure and ML systems. Working closely with cross-functional teams, you will transform complex data challenges into impactful solutions. This is an ideal opportunity for an experienced engineering leader passionate about innovation, reliability, and team growth. Accountabilities: As an Engineering Manager, you will lead the development and evolution of data platforms and ML operations capabilities while supporting engineering excellence and business impact. You will be responsible for building strong teams, driving technical strategy, and ensuring reliable systems that enable data-driven products. • Lead and mentor a team of engineers working across data platforms and machine learning operations. • Own the reliability, scalability, and continuous improvement of internal data infrastructure supporting analytics and product initiatives. • Oversee the complete ML lifecycle, including experimentation, training pipelines, model deployment, and production monitoring. • Provide technical guidance by contributing to architecture discussions, reviewing solutions, and helping teams make effective engineering decisions. • Collaborate with data scientists, product managers, analysts, and engineering leaders to turn data and ML investments into measurable outcomes. • Establish engineering standards, processes, and best practices across data engineering and ML operations. • Support team development through coaching, feedback, knowledge sharing, and career growth opportunities. • Drive innovation and continuous improvement within a rapidly evolving technical environment. Requirements: The ideal candidate is an experienced engineering leader with a strong background in data engineering, ML engineering, or related software engineering disciplines. You should combine technical expertise with proven people leadership skills and the ability to deliver scalable, reliable solutions. • At least 2 years of experience managing engineering teams focused on data platforms, machine learning, or related technologies. • 5+ years of professional experience in data engineering, ML engineering, or software engineering roles, preferably within SaaS environments. • Strong understanding of both data infrastructure and machine learning systems, with the ability to provide technical direction across both areas. • Experience leading engineers across multiple technical disciplines and supporting high-performing teams. • Proven ability to deliver reliable data products and platforms with a focus on quality, scalability, and user impact. • Experience driving technical change and innovation in fast-paced, growing organizations. • Familiarity with analytical storage technologies such as ClickHouse, Databricks, Snowflake, or BigQuery. • Experience with ML lifecycle tools, including training pipelines, model serving, and production monitoring. • Knowledge of cloud-based data and ML infrastructure, particularly AWS environments. • Strong communication, collaboration, and stakeholder management skills. Benefits: • Remote-friendly work environment with flexibility to work from your preferred location. • Competitive compensation package aligned with experience, skills, and market conditions. • Opportunity to work on advanced data and machine learning systems at significant scale. • Chance to lead and grow a talented engineering team while shaping technical strategy. • Exposure to modern technologies across data platforms, ML operations, and cloud infrastructure. • Inclusive workplace culture that values diverse perspectives and backgrounds. • Professional growth opportunities through continuous learning and technical challenges. • Opportunity to contribute to innovative products focused on solving complex real-world problems. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Advertising & Publisher Monetization based in United Arab Emirates. This is an exciting opportunity for a product management professional to lead the strategy and optimization of advertising monetization across a large portfolio of high-traffic digital platforms. In this role, you will shape the product roadmap for advertising experiences, balancing revenue growth with exceptional user experience and site performance. Working cross-functionally with engineering, analytics, ad operations, marketing, and revenue teams, you will drive data-informed decisions that improve monetization outcomes. You will lead experimentation initiatives, evaluate emerging advertising technologies, and implement scalable solutions that maximize publisher performance. This position is ideal for someone who thrives on solving complex business challenges through analytics, innovation, and product leadership in a fast-paced digital environment. \n Accountabilities: As the Senior Product Manager, you will own the advertising monetization strategy across multiple digital properties, driving initiatives that improve revenue, user engagement, and operational efficiency through continuous optimization and experimentation. Define and manage the advertising product roadmap, prioritizing initiatives that increase monetization while maintaining a high-quality user experience. Collaborate with Ad Operations to optimize ad placements, layouts, refresh strategies, lazy loading, video advertising, native formats, and other monetization opportunities. Partner with engineering teams to implement advertising technologies and support new monetization capabilities. Work closely with analytics, SEO, marketing, and revenue teams to identify growth opportunities and monitor advertising performance. Analyze key performance indicators such as RPM, eCPM, fill rate, CTR, viewability, revenue per session, Core Web Vitals, and user engagement. Lead A/B testing programs to evaluate advertising layouts, page templates, navigation, and optimization strategies. Evaluate advertising platforms, header bidding solutions, SSPs, exchanges, and strategic monetization partners. Develop detailed product requirements, user stories, acceptance criteria, and implementation plans. Present performance insights, experimentation results, and strategic recommendations to leadership. Monitor industry trends in programmatic advertising, privacy regulations, AI-powered optimization, identity solutions, and publisher technologies. Requirements The ideal candidate is a data-driven product leader with deep expertise in digital publishing and advertising technology, capable of balancing commercial objectives with exceptional user experiences. 5+ years of product management or product ownership experience within digital publishing, advertising technology, e-commerce, or consumer web platforms. Bachelor's degree in Business, Computer Science, Marketing, Engineering, or a related field. Strong understanding of programmatic advertising ecosystems, publisher monetization strategies, and digital advertising operations. Experience working with platforms such as Google Ad Manager, header bidding solutions, SSPs, exchanges, or similar monetization technologies. Proficiency with analytics and experimentation platforms such as GA4, Domo, Looker, VWO, Optimizely, or equivalent tools. Strong knowledge of advertising performance metrics, including RPM, eCPM, fill rate, viewability, latency, CTR, and revenue per session. Familiarity with Core Web Vitals, SEO best practices, page performance optimization, and advertising technology integrations. Proven experience leading experimentation initiatives that deliver measurable business and revenue improvements. Excellent project management, prioritization, communication, and cross-functional collaboration skills. Analytical mindset with the ability to transform complex data into actionable product strategies and business decisions. Benefits Competitive salary aligned with experience and qualifications. Fully remote work opportunity. Opportunity to lead monetization strategy across high-traffic digital platforms with significant business impact. Collaborative environment with cross-functional exposure to product, engineering, analytics, marketing, and revenue teams. Opportunity to work with modern advertising technologies, AI-driven optimization, and large-scale experimentation. Professional growth through ownership of strategic product initiatives and data-driven decision-making. \n How Jobgether works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager - Infrastructure based in United Arab Emirates. This is an opportunity to lead a high-impact infrastructure team building the foundation that enables engineering organizations to deliver software faster and more reliably. The role focuses on evolving internal platforms, CI/CD systems, and automation capabilities to support large-scale engineering operations. You will guide a remote team of infrastructure engineers while driving improvements in scalability, efficiency, and developer experience. The position combines technical leadership, people management, and strategic platform ownership in a fast-moving technology environment. You will play a key role in reducing operational complexity through automation and AI-driven engineering practices. This role is ideal for a servant leader who enjoys empowering teams, solving complex infrastructure challenges, and shaping the future of engineering productivity. Accountabilities: The Engineering Manager - Infrastructure will lead the development and continuous improvement of a scalable infrastructure platform while enabling engineering teams to work efficiently and autonomously. The role requires a balance of technical expertise, leadership, and strategic thinking to create reliable systems, reduce operational overhead, and support business growth. • Lead and mentor a high-performing remote infrastructure engineering team, fostering autonomy, collaboration, accountability, and continuous improvement. • Define and execute strategies for CI/CD platforms, artifact distribution systems, and infrastructure capabilities to support increased engineering scale. • Drive automation initiatives focused on reducing manual processes, improving reliability, and creating a zero-toil engineering environment. • Guide the adoption of AI-driven engineering practices to improve areas such as dependency management, incident resolution, cloud optimization, and developer support. • Own the evolution of internal infrastructure platforms as products, ensuring they provide a seamless and effective experience for engineering teams. • Translate technical needs into actionable roadmaps while collaborating with stakeholders across engineering and product teams. • Review and contribute to technical architecture decisions, ensuring solutions are scalable, secure, and aligned with long-term goals. • Support improvements to cloud infrastructure, Kubernetes environments, infrastructure-as-code practices, and CI/CD workflows. • Promote engineering excellence through strong processes, technical reviews, and effective remote collaboration practices. Requirements: The ideal candidate is an experienced engineering leader with strong infrastructure knowledge, a track record of developing engineering talent, and the ability to operate effectively in remote, asynchronous environments. They should combine technical depth with strong communication and strategic leadership skills. • Proven experience leading and growing engineering teams, including mentoring engineers toward senior and advanced roles. • Strong stakeholder management skills with the ability to align technical initiatives with business objectives. • Senior-level technical expertise with cloud platforms such as AWS, GCP, or similar environments. • Hands-on experience with Kubernetes and modern infrastructure management practices. • Experience with Infrastructure as Code tools such as Terraform, ArgoCD, or comparable technologies. • Background scaling CI/CD systems, including solutions such as GitHub Actions with self-hosted runners or similar platforms. • Backend engineering experience with proficiency in at least one programming language, such as Python. • Ability to review complex architectures and contribute technically when needed, including workflow automation initiatives. • Experience building efficient teams in remote-first and async working environments. • Strong understanding of automation, platform engineering, and developer experience principles. • Excellent written and verbal communication skills. Preferred qualifications: • Experience transforming teams into AI-native or automation-first engineering organizations. • Background in technical product management or strong product-oriented thinking. • Experience implementing FinOps practices and improving cloud cost accountability. Benefits: • Competitive compensation package with location-based salary ranges. • Equity opportunities through a company stock option program where applicable. • Fully remote work environment with flexibility to work from anywhere. • Home office support, co-working space assistance, and flexible time off. • Comprehensive healthcare and wellbeing programs, including mental health support. • Retirement and pension plans, with company contributions where applicable. • Life and disability insurance coverage where relevant. • Annual company gatherings, team offsites, and opportunities for in-person collaboration. • Learning and development budget of up to $1,000 annually for courses, certifications, books, and professional growth. • Opportunity to join an ambitious technology organization working on large-scale engineering challenges. • Inclusive workplace culture focused on collaboration, diversity, and equal opportunity. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.