About Ceros
At Ceros, we believe that creating powerful digital experiences is essential for helping organizations tell their stories and differentiate their brands. In a world where buyers are inundated with endless digital noise, it’s critical for brands to deliver experiences that inspire, educate, and make a lasting impact on the audiences that matter most.
Our no-code content creation platform empowers businesses to transform the buying journey with rich, interactive experiences that capture the attention of buyers and drive enduring business outcomes. The platform makes it faster, easier, and more cost-effective to create premium digital experiences, allowing businesses to scale it across their go-to-market programs.
Today, Ceros powers some of the most engaging experiences on the web. In 2023 alone, interactive content created with Ceros — from websites to landing pages and pitch decks to case studies— was viewed more than half a billion times, with over 3 million comments added using MarkUp, our visual collaboration tool.
Working at Ceros means making an impact at scale. Our platform supports leading brands including Workday, Colliers, Getty, McKesson, and McKinsey. Ceros is backed by top-tier investors, including Sumeru Equity Partners, Grotech Ventures, and Greycroft.
The Role
We are seeking a Principal Data Engineer to join the Operations team as a strategic leader and hands-on technical expert. In this role, you will own and enhance our data infrastructure while driving cross-functional insights and decision-making across Product, Sales, Customer Success, and Revenue Operations teams.
This role leverages AI-driven techniques to extract meaningful insights from various customer interactions, helping shape product decisions, customer engagement strategies, and revenue operations initiatives. You will determine the most effective approach to enhancing data processes or exploring new tools and technologies while taking ownership of research, strategy, and execution.
Additionally, you will support sales performance analysis, forecasting, and revenue modeling, ensuring clean, well-structured data to drive sales strategies and customer segmentation.
This role balances 60% strategic leadership and collaboration with 40% hands-on technical work, blending data engineering, analytics, and business problem-solving while mentoring other team members.
Must-Have:
- 8+ years of experience in data engineering, product analytics, or SaaS.
- Strong experience with SQL, AWS Redshift, and ETL pipelines.
- Proficiency with BI tools (Looker, Metabase, Mixpanel).
- Experience with AI-driven analytics and NLP techniques.
- Strong communication and stakeholder management skills.
- Highly organized and capable of managing multiple priorities.
Nice-to-Have:
- Experience in SaaS, especially in content creation or enterprise tech.
- Familiarity with customer feedback and conversational intelligence tools.
- Hands-on experience with Python or scripting languages for data automation.
Learn more or apply here