16 hours ago
Base Salary
$190k - $240k/yr
Responsibilities
- Define and execute the data platform roadmap across product, engineering, and company-wide data needs.
- Design scalable production database schemas, indexing strategies, query patterns, and access patterns.
- Lead multimodal indexing and search across images, documents, and text, including retrieval quality, performance, and reliability.
- Build and own data pipelines across production databases, product events, and third-party systems.
- Build the warehouse, governed metrics, analytical models, and self-serve data exploration tools.
- Instrument the customer lifecycle from first lead through delivered value.
- Establish standards for data quality, data contracts, and observability.
- Make pragmatic architecture and build-versus-buy decisions balancing speed, scalability, and cost.
Requirements
- 8+ years of experience in software engineering, data engineering, or related roles involving ownership of complex data systems.
- Proven success defining and building data architecture in fast-moving, high-growth environments.
- Deep expertise in relational database design, including schemas, indexing, query patterns, and consistency tradeoffs.
- Strong experience building production data pipelines, warehouses, and analytical data models.
- Experience building production search systems, including embedding-based or hybrid retrieval and evaluating retrieval quality.
- Track record of shipping reliable production code and making sound architecture decisions across complex systems.
- Strong judgment in ambiguous environments, with the ability to prioritize, make pragmatic tradeoffs, and build without an established playbook.
- Ability to work effectively across engineering, leadership, and non-technical teams to turn business needs into durable data systems.
- Preferred experience as an early data hire at a high-growth B2B SaaS or AI-native company.
- Preferred experience with multimodal retrieval, LLM or agent data infrastructure, and data foundations for customer and revenue analytics in B2B SaaS.
Benefits
- Performance-based annual bonus and meaningful equity awards.
- Fully covered medical, dental, and vision insurance for employees, with 75% coverage for dependents.
- Fertility and family-planning support, a 401k plan, and unlimited PTO.
- Seattle HQ office with a gym, sauna, bike parking, and free lunch three days per week.
- Flexible work hours and a collaborative culture focused on learning and impact.
Tech Stack
Categories
Data Engineering
About Gradial
Gradial builds an enterprise marketing operations platform that orchestrates tools, workflows, and teams to automate content and campaign execution for marketing organizations. It sells its software to enterprises seeking to streamline complex martech stacks and speed time from idea to launch. Founded in 2023 and headquartered in Seattle, Washington, the company is privately held and focuses on improving omni-channel content operations for large brands.