Product Solutions Engineer – Senior AI‑Driven Advertising Platform Support, Technical Troubleshooting, and Client Experience Leadership at careerzynith

About careerzynith

careerzynith is a global technology leader that builds innovative products and services used by billions of people every day. From cutting‑edge advertising platforms to intelligent search experiences, careerzynith’s mission is to make information universally accessible and useful. Our gTech Technical Services division (rebranded as careerzynith Technical Services) partners with product, design, and business teams worldwide to ensure that every user interaction is smooth, reliable, and delightful. As part of this dynamic ecosystem, the Product Solutions Engineer role sits at the intersection of technology, data, and customer advocacy, driving the continuous improvement of careerzynith’s advertising and platform solutions.

Why This Role Matters

In today’s fast‑moving digital advertising landscape, advertisers rely on careerzynith’s platforms to reach audiences at scale. When issues arise—whether they involve complex data pipelines, AI‑powered bidding models, or cross‑device tracking—our customers expect rapid, knowledgeable, and empathetic support. As a Product Solutions Engineer, you will be the trusted liaison who translates technical challenges into actionable solutions, collaborates with product engineers to resolve bugs, and helps shape the next generation of careerzynith advertising products.

Key Responsibilities

• Customer‑Facing Technical Support: Deliver world‑class support to advertisers and internal stakeholders across careerzynith Advertising, careerzynith Video, careerzynith Search, and the careerzynith Marketing Platform.
• Complex Issue Investigation: Diagnose, reproduce, and resolve high‑impact technical problems that span multiple systems, including backend services, data pipelines, and AI models.
• Cross‑Functional Collaboration: Partner with product managers, engineers, design teams, and business analysts to surface root causes, prioritize fixes, and influence product roadmaps.
• Automation & Tooling: Design and implement internal tools, scripts, and dashboards that streamline issue triage, improve visibility, and reduce mean‑time‑to‑resolution.
• Knowledge Sharing: Create clear documentation, run internal training sessions, and mentor junior engineers on troubleshooting methodologies and best practices.
• Data‑Driven Insights: Leverage SQL, Python, and data‑visualization techniques to extract actionable insights from logs, metrics, and user reports.
• Product Quality Advocacy: Feed real‑world findings back into the product development cycle, ensuring that future releases are more robust and user‑centric.
• Continuous Learning: Stay current with emerging technologies in AI, cloud infrastructure, and advertising ecosystems to maintain a competitive edge.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
• Technical Experience: Minimum 3 years of professional experience coding in at least one widely used programming language such as Java, C/C++, or Python.
• Web Technologies: Hands‑on experience with HTML, CSS, JavaScript, HTTP, and related web standards.
• Data Skills: Proficiency in SQL or SQL‑like query languages for data extraction, analysis, and reporting.
• System Understanding: Solid grasp of backend concepts (e.g., caching, memory management), mobile application frameworks, and distributed system design.
• Problem‑Solving Acumen: Demonstrated ability to troubleshoot complex production issues using tools such as Chrome DevTools, log analyzers, and monitoring platforms.
• Communication Excellence: Ability to convey technical concepts to both technical and non‑technical audiences with clarity and confidence.

Preferred Qualifications & Skills

• Experience with API design, SDK development, or data modeling for large‑scale advertising platforms.
• Familiarity with machine learning concepts, especially those applied to ad ranking, bidding, or recommendation systems.
• Background working within the careerzynith Advertising organization or similar ad‑tech environments.
• Exposure to cloud services (e.g., careerzynith Cloud, AWS, Azure) and container orchestration (Kubernetes, Docker).
• Track record of building automation scripts or internal tooling that improves operational efficiency.
• Strong analytical mindset with the ability to translate raw data into strategic recommendations.

Core Competencies for Success

• Customer Empathy: A genuine desire to understand advertiser pain points and deliver solutions that exceed expectations.
• Collaboration: Comfortable working in matrixed, global teams, building consensus across diverse functional groups.
• Adaptability: Thrive in a fast‑changing environment where priorities shift based on product releases and market demands.
• Attention to Detail: Meticulous in documenting findings, reproducing bugs, and ensuring that no edge case is overlooked.
• Innovation Mindset: Proactively suggest improvements to processes, tools, and product features.

Career Growth & Learning Opportunities

careerzynith invests heavily in employee development. As a Product Solutions Engineer, you will have access to:

• Mentorship programs with senior engineers and product leaders.
• Internal technical workshops on AI, data engineering, and cloud architecture.
• Opportunities to transition into product management, engineering, or specialized analytics roles after gaining deep domain expertise.
• Funding for certifications (e.g., Certified Kubernetes Administrator, Google Cloud Professional) and conference attendance.
• Rotational assignments across different product lines, allowing you to broaden your impact and network.

Work Environment & Culture at careerzynith

Our offices in Reston, USA, feature open‑plan workspaces, collaborative breakout zones, and quiet rooms for focused work. The culture emphasizes:

• Inclusivity: Diverse teams where every voice is heard and respected.
• Innovation: A “fail fast, learn fast” mentality that encourages experimentation.
• Well‑Being: Flexible work hours, generous paid time off, on‑site wellness programs, and a supportive remote‑work policy.
• Community: Employee resource groups, volunteer initiatives, and regular social events that foster camaraderie.

Compensation, Perks & Benefits

careerzynith offers a competitive compensation package that includes:

• Base hourly rate of $26/hour (full‑time, 40‑hour week) with eligibility for performance‑based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options with company matching contributions.
• Paid parental leave, family‑care assistance, and flexible scheduling.
• Employee stock purchase plan (ESPP) and equity grants for eligible staff.
• Generous tuition reimbursement and continuous learning stipends.
• On‑site amenities such as catered meals, fitness centers, and relaxation lounges.

How to Apply

If you are passionate about solving complex technical challenges, love working at the intersection of advertising technology and AI, and thrive in a collaborative, fast‑paced environment, we want to hear from you. Join careerzynith’s mission to empower advertisers worldwide and help shape the future of digital marketing.

Apply Now