Location: San Francisco, CA

Hybrid | Full-time

Compensation: $160K – $300K + Equity

Our client is a venture-backed technology firm based in San Francisco that is redefining the global research industry through AI-powered user interviews. By leveraging advanced AI-moderated technology, the platform enables global enterprises to achieve deep qualitative insights at unprecedented speed and scale. Currently serving world-class brands across the technology and consumer sectors, our client is disrupting a $140B market by replacing slow, high-cost legacy services with high-performance automated solutions.

Following a breakout year characterized by 8x growth, the organization recently secured a $30M Series B funding round led by top-tier Silicon Valley investors. The engineering team is currently scaling to support the rapid adoption of AI-moderated research as the new industry standard. This is a high-impact opportunity for a Backend Software Engineer to join a lean, elite team of 30 in San Francisco and take ownership of mission-critical infrastructure.

Key Responsibilities

• Strategic Technical Leadership: Collaborate directly with the CTO and CEO to influence strategic technical decisions and the long-term product roadmap.
• System Architecture: Design, develop, and optimize backend services, robust APIs, and real-time data processing infrastructure.
• AI Implementation: Refine and implement in-house Large Language Model (LLM) integrations and proprietary real-time interview technology.
• Full-Cycle Ownership: Lead engineering projects from initial conception through production deployment, ensuring maximum scalability and reliability.
• Customer-Centric Development: Interface directly with users to gather feedback, identify pain points, and iterate on the core product to meet enterprise-grade requirements.

Requirements

• Professional Experience: 3+ years of software engineering experience focused on building and maintaining production-grade backend systems.
• Technical Proficiency: Strong expertise in Python and Django, with a proven track record of building robust APIs.
• Data Management: Extensive knowledge of SQL databases, with a strong preference for PostgreSQL.
• Cloud Infrastructure: Professional experience deploying and managing backend services on AWS.
• Preferred Skills: Familiarity with WebRTC, real-time data streaming, or AI/ML infrastructure is highly desirable.
• Location: Based in or willing to relocate to San Francisco for a hybrid work schedule.

Benefits

• Executive Exposure: Daily collaboration with the founding team to shape the core product vision.
• Industry Impact: Direct interaction with design and research leaders at the world’s most recognizable global brands.
• Compensation: Competitive cash salary ranging from $160,000 to $300,000, complemented by a significant equity package.
• Holistic Package: Comprehensive benefits and a culture that celebrates diversity and inclusion.
• Growth Environment: The opportunity to work in a high-growth, well-funded startup environment that is leading a new category in AI technology.