--- title: 'Solution Engineer at RZR Global Inc.' canonical: 'https://feeny.ai/job/solution-engineer-rzr-global-inc-san-francisco-p5ma2mdxbf25' type: 'job' last_seen: '2026-10-15' --- # Solution Engineer at RZR Global Inc. - **Company:** RZR Global Inc. - **Location:** San Francisco, CA - **Posted:** 2026-03-18 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.greenhouse.io/rzr/jobs/4186024009 ## Job description ## About Us RZR Global is an AI company that builds advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world using trillions of contextual bidding signals coupled with proprietary behavioral models. Our audience engagement platform includes a full-service agency team and a Unified Creative Strategy that delivers ad creative ideation and execution. We have worked with hundreds of advertisers over 14 years and see 5M mobile ad requests per second from over 10B devices, driving performance for publishers and brands. The company is headquartered in San Francisco, CA, with offices in the United States, EMEA, and APAC. ## Role Overview The Solution Engineer will act as the technical bridge between Sales, Customers, and Product/Engineering teams. The role supports both pre-sales technical consulting and post-sales solution deployment and support, ensuring successful adoption of Aarki’s advertising platform. The individual will help partners and advertisers integrate with Aarki’s DSP infrastructure, troubleshoot campaign or data issues, guide technical implementations, and provide technical insights that improve product adoption and customer success. ## Key Responsibilities Pre-Sales Support - Partner with Sales teams to provide technical consultation during advertiser and partner onboarding. - Translate customer requirements into scalable technical solutions using Aarki’s platform. - Conduct product demonstrations and explain platform capabilities to internal and external stakeholders. Post-Sales Technical Support - Provide technical account management for advertisers and ecosystem partners. - Troubleshoot campaign delivery, tracking, data ingestion, and integration issues. - Ensure successful product adoption by guiding customers through integrations and technical setup. Technical Implementation - Support integrations with advertiser systems, data partners, attribution providers, and measurement vendors. - Manage deployment of campaign features such as targeting, tracking pixels, audience ingestion, and reporting pipelines. Internal Collaboration - Act as liaison between Sales, Product, and Engineering teams. - Escalate and document product issues impacting customer deployments. - Provide field feedback to improve product capabilities. Customer Success Enablement - Monitor and analyze campaign performance and system metrics. - Proactively identify optimization opportunities and technical improvements. - Create documentation and best practices for technical implementations. Required Skills / Experience - 4–6 years of experience in Solutions Engineering, Sales Engineering, Technical Account Management, or other customer-facing technical roles. - Experience working with AdTech / MarTech platforms or similar data-driven or real-time systems is preferred. Basic understanding of programmatic advertising, DSP ecosystem, or similar distributed platforms is preferred. - Familiarity with at least one programming language such as Python, Java, or JavaScript. - Strong SQL skills for data analysis, debugging, and troubleshooting, along with experience in PostgreSQL or MySQL. - Experience with APIs, data pipelines, and system integrations. - Familiarity with attribution, audience targeting, or data onboarding workflows is a plus. - Exposure to mobile apps, SDK integrations, or tracking implementations is preferred. - Experience using logs, dashboards, or analytics tools for monitoring and debugging along with analytical thinking and structured problem-solving ability. - Customer-first mindset with the ability to communicate technical concepts clearly to non-technical stakeholders. - Ability to work cross-functionally with Sales, Product, Engineering, and Customer Success teams. RZR is an equal opportunity employer RZR is a place where everyone can grow. However you identify, and whatever background you bring with you, we invite you to apply if this role excites you. RZR provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. ## About RZR Global Inc. ## Company Overview - **One-liner**: RZR is an AI‑supervised growth marketing intelligence platform that unifies mobile user acquisition, retargeting, CTV, and influencer campaigns into a single performance system. - **Entity Type**: Private (no funding round disclosed) - **Headquarters**: San Francisco, California, United States - **Founded**: Not publicly available; the company has been operating for over a decade (previously known as Aarki) - **Founders**: Not publicly available ## Core Business - **Primary industry**: Advertising Services / Programmatic AdTech - **Target customers**: B2B – mobile app marketers, gaming studios, consumer brands, entertainment, food & beverage, retail - **Mission statement**: “To make brands impactful at scale.” ## Products & Services - **[Encore](https://www.rzr.com/encore/encore)**: Proprietary AI‑supervised machine learning bidding engine. Uses multi‑stage deep neural networks to predict install probability, purchase probability, and expected lifetime value at the impression level. Powers bid decisions across mobile UA, retargeting, and CTV. - **User Acquisition**: Identifies and acquires high‑LTV users before competitors bid on them, optimizing across SKAN, Android, and real‑time attribution environments. - **Retargeting**: Re‑engages lapsed users with the highest probability to return, spend, and stay active. - **CTV**: Reaches audiences in the living room with full‑screen creative and feeds warm audiences into mobile activation. - **Influencer**: Activates social proof at scale; performance data feeds back into the optimization loop. ## Market Standing - **Valuation / Market Cap**: Not disclosed - **Key Metric**: 65 employees (as of 2026); four owned‑and‑operated data centers processing 6M+ queries per second - **Notable Investors / Partners**: Not publicly available - **Growth Signals**: Global expansion with offices in San Francisco, New York, London, Bangalore, Beijing, Manila, and Seoul; recent rebrand from Aarki to RZR signals strategic evolution toward a multi‑channel, retention‑led platform. ## Competitive Advantages - **Proprietary neural architecture** built on over a decade of performance data - **AI‑supervised machine learning** – human analysts monitor calibration, reallocate budgets, and direct traffic toward highest‑value cohorts, keeping models aligned to real business goals - **Cross‑channel learning** – audience signals, bidding logic, and performance learnings carry across mobile UA, retargeting, CTV, and influencer campaigns - **Owned infrastructure** – four data centers give full control over latency, scale, and data privacy - **iOS privacy resilience** – uses contextual signals and synthetic data to maintain prediction accuracy without IDFA ## Strategic Focus - **Retention‑led growth** across every channel, optimizing for lifetime value rather than single events - **Connected intelligence** – unifying mobile, TV, and social into one learning system - **Expanding CTV and influencer** as high‑attention channels that feed back into the mobile performance loop - **Continued investment in AI/ML** to compound performance over time ## Why Work Here - **Culture**: “Intelligence is measured by the impact it creates.” The company emphasizes hiring smart people who make intelligent decisions. - **Global team**: Offices in 7 countries across North America, Europe, Asia, and the Middle East – opportunities for cross‑cultural collaboration. - **Engineering focus**: Deep work in neural architecture, real‑time bidding, large‑scale data processing (6M+ queries/sec), and multi‑stage ML models. - **Remote / hybrid**: Not explicitly stated; given multiple office locations, a hybrid or office‑based model is likely. - **Perks**: Not publicly detailed, but the company highlights a “connected team delivering retention‑led growth at global scale” and a mission‑driven environment. ## Sources 1. [RZR Homepage](https://www.rzr.com/) 2. [RZR About Page](https://www.rzr.com/about) 3. [RZR Product Page](https://www.rzr.com/product) 4. [RZR Encore Page](https://www.rzr.com/encore/encore) 5. 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