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Why careerzynith?
careerzynith is an AI‑first pioneer dedicated to turning massive, complex customer data into a strategic advantage for the world’s most innovative brands. Our patented Customer Data Cloud platform powers more than 400 global brands—including careerzynith, careerzynith, and careerzynith—to deliver hyper‑personalized experiences that drive loyalty, revenue, and growth. By embedding artificial intelligence at the core of every product, workflow, and decision, we enable our clients to resolve identities, predict behavior, and act on insights faster than ever before.
Our culture is built on curiosity, collaboration, and transparency. We believe that diverse perspectives fuel breakthrough ideas, and we invest heavily in the personal and professional development of every team member. With offices in Seattle, New York City, London, and Melbourne, and a fully remote‑first model for many roles, careerzynith offers a global, inclusive environment where you can shape the future of data‑driven customer experiences.
Role Overview – Customer Solutions Engineer (Professional Services)
As a Senior Customer Solutions Engineer on the Professional Services team, you will partner closely with Technical Consultants, Service Leads, and client stakeholders to design, build, and optimize high‑performance databases and SQL pipelines within the careerzynith platform. Your expertise will directly influence the scalability, reliability, and usability of data solutions that empower marketers, analysts, and product teams to unlock actionable insights without needing deep technical expertise.
Key Responsibilities
- Database & SQL Performance Ownership: Lead the design, implementation, and continuous improvement of database creation and SQL generation processes, ensuring they meet stringent performance and scalability targets.
- Cross‑Functional Collaboration: Work hand‑in‑hand with project teams to prioritize work, define scopes, and allocate engineering time effectively, balancing client expectations with technical feasibility.
- Customer Requirement Translation: Gather, interpret, and provide actionable feedback on customer requirements, turning business goals into concrete technical specifications.
- Production‑Grade Solutions: Deliver marketer‑friendly, production‑ready databases and query libraries that enable non‑technical users to execute high‑value use cases with confidence.
- Platform Optimization Advocacy: Identify opportunities to enhance careerzynith’s data platform, propose product improvements, and collaborate with product engineering to drive roadmap decisions.
- Mentorship & Knowledge Sharing: Coach junior engineers and consultants, fostering a culture of continuous learning and best‑practice adoption across the services organization.
- Technical Thought Leadership: Represent careerzynith in client workshops, webinars, and industry events, showcasing the power of AI‑driven data solutions.
Essential Qualifications
- Minimum 8 years of experience in software development, implementation, or professional services, with a proven track record of delivering complex data solutions.
- Deep expertise in relational databases, advanced SQL query writing, and performance tuning on large‑scale datasets.
- Hands‑on experience with Apache Spark and Spark SQL; familiarity with distributed processing frameworks is a distinct advantage.
- Proficiency in cloud storage technologies (e.g., AWS S3, Azure Blob, Google Cloud Storage) and modern data warehousing platforms such as Databricks or Snowflake.
- Demonstrated ability to consult directly with customers, translating technical concepts into clear business outcomes.
- Relentlessly curious mindset with a creative, versatile approach to solving ambiguous, multi‑dimensional problems.
- Strong communication skills, both written and verbal, with the ability to influence stakeholders at all levels.
Preferred Qualifications & Additional Skills
- Experience building or maintaining data pipelines using orchestration tools like Airflow, Prefect, or Dagster.
- Background in machine learning model deployment or feature engineering within a production environment.
- Knowledge of data governance, security, and compliance frameworks (e.g., GDPR, CCPA).
- Familiarity with containerization (Docker, Kubernetes) and CI/CD best practices.
- Track record of contributing to open‑source projects or publishing technical articles.
- Ability to thrive in a fast‑moving, remote‑first setting while maintaining high levels of productivity and collaboration.
Core Competencies for Success
- Analytical Rigor: Ability to dissect large datasets, identify performance bottlenecks, and devise elegant optimization strategies.
- Customer‑Centric Thinking: Prioritizing client outcomes, anticipating needs, and delivering solutions that drive measurable business impact.
- Strategic Vision: Seeing beyond immediate technical challenges to understand how data architecture supports long‑term product and market goals.
- Collaboration & Influence: Building trust with cross‑functional teams, guiding consensus, and championing best practices.
- Continuous Learning: Staying current with emerging data technologies, AI advancements, and industry trends.
Career Growth & Learning Opportunities
careerzynith invests heavily in the growth of its people. As a Senior Customer Solutions Engineer, you will have access to:
- Mentorship from senior leaders in AI, data engineering, and product strategy.
- Annual learning stipend for conferences, certifications, or advanced coursework.
- Opportunities to lead high‑visibility client engagements, shaping the future of data‑driven marketing for Fortune‑500 brands.
- Clear promotion pathways to Principal Engineer, Solutions Architecture Director, or Product Management leadership roles.
- Cross‑team rotations that broaden expertise across engineering, data science, and go‑to‑market functions.
Compensation, Perks & Benefits
Base Salary: $132,000 – $182,000, calibrated to market, experience, and geographic location.
Cash Incentives: Performance‑based bonuses aligned with individual and company success.
Equity Participation: Every employee receives a new‑hire stock option grant, giving you a direct stake in careerzynith’s growth and innovation.
Comprehensive Benefits Package:
- 100% employer‑paid health, dental, and vision coverage for employees.
- Generous retirement savings options with company matching.
- Flexible paid time off (PTO) and self‑managed vacation policy.
- Remote‑work stipend covering home office setup, internet, and coworking space access.
- Transportation subsidies for office‑based employees.
- Wellness programs, mental‑health resources, and employee assistance services.
- Regular virtual and in‑person events, snack boxes, and community‑building activities.
Work Environment & Culture at careerzynith
Our remote‑first philosophy empowers you to work from anywhere in Colorado, Illinois, Minnesota, or Texas while staying deeply connected to a vibrant, global team. careerzynith’s culture is defined by:
- Transparency: Open communication channels, regular all‑hands updates, and clear visibility into company goals.
- Inclusivity: A commitment to diverse hiring, equitable advancement, and an environment where every voice is heard.
- Innovation: Freedom to experiment, rapid iteration cycles, and encouragement to push the boundaries of AI and data.
- Collaboration: Cross‑functional squads that blend engineering, product, and client expertise to solve real‑world problems.
- Work‑Life Harmony: Flexible schedules, supportive managers, and a focus on outcomes rather than hours logged.
Application Process & Next Steps
If you are passionate about turning massive data sets into actionable intelligence, love solving complex SQL and scalability challenges, and thrive in a collaborative, AI‑driven environment, we want to hear from you. Join careerzynith and help shape the future of customer data platforms for the world’s leading brands.
To apply, click the link below, submit your resume, and include a brief cover letter highlighting your most relevant experience and why you’re excited about the opportunity at careerzynith.
Apply to this Job
Equal Opportunity Commitment
careerzynith is proud to be an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, or any other legally protected characteristic. Applicants with criminal histories will be considered in accordance with applicable laws.
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