4 months ago
Base Salary
$200k - $270k/yr
Responsibilities
- Architect and scale core systems for ingesting and processing social data.
- Design data pipelines for AI agents and real-time analytics.
- Lead major technical decisions and establish scalable architecture patterns.
- Improve reliability, performance, and cost efficiency of data and AI infrastructure.
- Mentor engineers and review system designs and code.
- Collaborate with product and engineering leadership to solve complex technical problems.
Requirements
- 5+ years of experience in building and operating production software systems.
- Strong experience in designing and scaling distributed systems or data infrastructure.
- Proven ability to architect systems and drive major technical decisions.
- Experience mentoring engineers and influencing engineering direction.
- Comfortable in fast-moving startup environments with high ownership.
- Strong product intuition and ability to collaborate with product and design teams.
- Interest in AI-native engineering workflows.
Benefits
- Competitive compensation and early equity.
- Health, vision, and dental benefits plus 401(k) match.
- Clear career growth opportunities as the company scales.
- Free lunch in Palo Alto.
- Exposure to cutting-edge AI tooling and shaping its use in marketing.
- Collaborative team environment defining a new category of AI-native marketing infrastructure.