Software Engineer, Backend

Conductor is the leading enterprise AEO platform. Today’s top enterprise brands use Conductor to grow authority and visibility in both AI and traditional search engines. From tracking visibility in LLMs to real‑time monitoring of technical site health and scaled AI content creation, Conductor provides a single source of truth that fuels digital growth—all from one platform.

Conductor is a mission‑driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of everyone in our orbit—our customers, our customers’ customers, our employee‑owners, and our communities.

Reporting to the Engineering Director, the successful candidate will take on a strategic leadership role in designing, developing, and implementing innovative solutions to our customers’ problems, while adhering to the standards and principles of our R&D department. The Staff Engineer will work closely with AI/ML engineers, product managers, application developers, UI/UX designers, and other stakeholders to create scalable, high‑performance, reliable, and secure SaaS applications.

The ideal candidate is passionate about solving problems, influencing strategic thinking, and mentoring others within the team.

Reporting to the Engineering Director, this engineer’s key responsibilities are:

• Lead the technical architecture, design, and implementation of large‑scale distributed systems and data platforms to support customer needs and business growth.
• Oversee the planning, execution, and successful delivery of complex engineering projects, ensuring adherence to engineering best practices and quality standards.
• Design and build scalable, high‑performance backend systems and APIs that handle millions of requests and large datasets efficiently.
• Architect robust data processing pipelines and ETL workflows using modern cloud technologies and distributed computing frameworks.
• Drive technical decision‑making across the engineering organization, evaluating trade‑offs and establishing engineering standards and practices.
• Lead cross‑functional collaboration with product, AI/ML engineering, data engineering, and infrastructure teams to deliver comprehensive solutions.
• Build and maintain CI/CD pipelines, monitoring systems, and deployment automation to ensure reliable software delivery.
• Implement AI/ML capabilities including LLM integration, vector databases, and intelligent content processing workflows.
• Mentor senior and junior engineers, fostering technical excellence and knowledge sharing within the engineering organization.

• Completed studies in Computer Science, Mathematics, engineering or a related field or equivalent professional experience.
• 8+ years of experience in software development, with experience in product‑driven companies
• Strong expertise in system design, distributed computing, and scalable architecture patterns for handling large datasets and high‑throughput applications.
• Proficiency in multiple programming languages with strong Python coding skills. Experience with Java is highly valued.
• Strong database experience including both SQL and No
  
  SQL systems, with knowledge of data modeling and optimization techniques.
• Experience with AI/ML technologies including LLMs, vector databases (e.g., Milvus), embeddings, and ML frameworks.
• Knowledge of MLOps practices, model deployment, and AI system integration in production environments.
• Experience working across the full software development lifecycle including CI/CD, monitoring, testing, and production deployment.
• Proven track record of technical leadership, mentoring engineers, and driving engineering excellence within teams.
• Up‑to‑date with rapidly‑evolving technologies and demonstrated ability to evaluate and adopt new tools and frameworks.
• Analytical, proactive, structural and implementation‑oriented thinking, combined with a solution‑ and goal‑oriented hands‑on personality, who is comfortable working across stacks in an organization without silos and taking ownership of end‑to‑end problem‑solving.
• Professional verbal and written communication skills in English, with the ability to clearly articulate technical…