• Lead end-to-end growth initiatives (referrals, ambassadors, activation): design, build, launch, measure, and iterate • Design and execute A/B experiments on acquisition, activation, and retention • Build automations and custom integrations (APIs, scripts, no-code/low-code) without relying on the product roadmap • Define, instrument, and monitor key metrics: MAUs, K-factor, CAC, LTV, referral rate • Analyze funnels and identify bottlenecks and growth opportunities • Propose and maintain an independent growth roadmap, communicating results to the team

• Design, develop, and maintain scalable services that support the diverse activities of a high-throughput laboratory. • Develop both front-end and back-end applications. • Implement and manage CI/CD pipelines using GitLab. • Develop comprehensive unit tests to ensure high code quality. • Collaborate closely with end-users and product managers to iterate on requirements and deliverables. • Optimize architecture and infrastructure on the AWS cloud platform for performance, scalability, reliability, and cost-effectiveness. • Proactively monitor system performance, troubleshoot issues, conduct thorough root cause analysis, and implement enhancements to improve efficiency and reliability. • Stay current with emerging technologies and best practices in software engineering and actively contribute to continuous improvement initiatives. • Be the technical lead and mentor more junior engineers. • Visit the lab in San Carlos, CA occasionally to facilitate direct observation of the software in the lab and obtain real-time user feedback.

• Own the architecture, technical design, and delivery for your team's area of the platform, turning roadmap into engineering plans that ship and hold up in production • Drive the hardest technical decisions in your domain and resolve ambiguous, high-risk problems before they become blockers • Design and build core parts of our compound AI system, spanning agents, LLMs, and RAG, with a focus on reliability, evaluation, and scale • Own your team's most complex, mission-critical initiatives end to end, from problem framing through production and iteration • Establish and champion engineering best practices, coding standards, architectural patterns, and AI-native development techniques within your team • Multiply your team's impact by mentoring senior and mid-level engineers, raising the quality bar through code review, design review, and your own hands-on work • Partner closely with your product and design counterparts to uncover requirements and align on priorities • Stay current with the state of the art in software engineering and applied AI, and bring the relevant advances into your part of the platform

• Efficiently develop new software based on given requirements using industry best practices for security, maintainability, performance while following existing internal standards. • Actively participate, lead, relevant sprint processes (e.g. planning, grooming, retrospectives, scrums). Responsible for initial high-level sizing. • Assume a high level of ownership of all work developed by members of the team. • Lead a projects through all phases of the software development lifecycle, including planning, development, testing, and launch. • Provide technical guidance to team members, encourages work productivity. • Lead project team members and respond to team requests (product, designers, staff) in a timely manner. • Maintain and improve the performance and quality of existing software. • Collaborate with stakeholders to review software requirements. • Clearly and regularly communicate with management and technical support colleagues. • Train and integrate new team members and proactively support the continued development of existing team members. • Recommend improvements to existing software programs as necessary. • Create new software development processes and procedures. • Develop and maintain unit tests for existing and created code to ensure compatibility and stability. • Responsible for 3rd level emergency support for maintaining site operation with minimal downtime. • Identify and implement new software tools, development processes, and procedures.