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Prolific is building human data infrastructure for AI development. As a marketplace connecting researchers and companies with global participants, Prolific enables collection of high-quality, ethically sourced human behavioral data—the cornerstone of developing accurate, nuanced, and aligned AI systems.
As Senior Product Engineer II, you will be the senior technical contributor for your team, partnering with the Engineering Manager to set technical direction and ensure delivery excellence. You will balance hands-on contribution with technical leadership, serving as the go-to person for technical decisions and architecture within your team's domain. You are increasingly outward-facing, representing your team's technical work beyond its boundaries.
Key responsibilities include:
- Define Technical Direction: Partner with the EM to shape the team's technical roadmap, strategy, and architectural direction.
- Drive Engineering Excellence: Own code quality, testing, reliability, performance, and engineering standards across the team.
- Lead Technical Discovery: Guide technical planning, discovery, solution design, and decision-making, balancing short- and long-term needs.
- Collaborate and Influence: Facilitate cross-team technical collaboration, contribute to engineering-wide initiatives, and act as a technical liaison.
- Grow the Team: Actively mentor and develop engineers at any level, within and beyond the team.
You will work with modern cloud and development technologies including AWS and GCP, Python, JavaScript, TypeScript, Vue.js, Django Rest Framework, container-based and serverless architectures, MongoDB, DynamoDB, CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge, and DataDog.
Prolific offers competitive salary, benefits, and remote working within an impactful, mission-driven culture focused on the intersection of AI innovation and human data quality.
REQUIREMENTS:
- Proven experience leading technical direction, making architectural decisions, and solving complex engineering problems
- Deep expertise in software engineering, architecture, testing, reliability, performance, and maintainable system design
- Ability to connect technical decisions to customer and business outcomes while balancing delivery with long-term technical health
- Strong communication skills with the ability to build consensus, influence across teams, and explain technical concepts to non-technical stakeholders
- Strong track record of developing engineers, working effectively with engineering managers and wider engineering communities, and contributing to a culture of learning and excellence
- Expertise in some (and willingness to learn) of the key technologies: cloud platforms (AWS, GCP), programming languages (Python, JavaScript, TypeScript), frameworks (Vue.js, Django Rest Framework, container/serverless), databases (MongoDB, DynamoDB), and DevOps/monitoring tools (CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge, DataDog)
