Accountabilities:
The Engineering Manager, Maps & Search will own the technical direction, execution, and growth of a team responsible for a critical search and discovery platform. This role requires balancing hands-on technical contribution with engineering leadership, strategic planning, and continuous improvement.
Lead, mentor, and grow a high-performing engineering team through hiring, onboarding, coaching, feedback, and career development.
Maintain a hands-on approach by contributing to architecture discussions, code reviews, technical decisions, debugging, and complex engineering challenges.
Own the architecture, scalability, reliability, and performance of a high-throughput search platform handling significant traffic volumes.
Drive improvements across search relevance, ranking, retrieval, latency, and overall user experience.
Define technical roadmaps in partnership with product and design teams, translating business objectives into scalable engineering solutions.
Lead initiatives from concept through production, ensuring quality, reliability, operational excellence, and successful delivery.
Explore and implement AI-powered discovery capabilities, including intelligent ranking and LLM-driven workflows.
Establish engineering best practices around system design, development processes, and operational maturity.
Support incident response, capacity planning, and reliability improvements for critical production systems.
Communicate technical strategies and trade-offs clearly to engineering teams, product stakeholders, and leadership.
Foster a collaborative engineering culture focused on innovation, ownership, and continuous learning.
Requirements:
The ideal candidate has extensive software engineering experience combined with proven leadership capabilities, strong technical judgment, and experience building scalable systems in fast-moving environments.
8+ years of professional software engineering experience, including significant senior or staff-level experience.
2+ years of experience managing engineering teams and developing high-performing engineers.
Proven experience leading teams responsible for search, relevance, ranking, retrieval, or discovery systems.
Strong understanding of search technologies and concepts, including indexing, ranking, performance optimization, and user intent.
Deep expertise with TypeScript, Node.js, and React, with strong full-stack understanding across frontend and backend systems.
Experience designing and operating scalable microservice architectures in cloud-native environments.
Strong knowledge of GraphQL, event-driven architectures, Kafka, databases, and distributed systems.
Experience working with technologies such as PostgreSQL, OpenSearch, AWS, Kubernetes, Lambda, and Redis.
Proven ability to operate high-traffic, low-latency production systems with strong understanding of SLOs, incident management, and capacity planning.
Experience delivering high-impact technical initiatives from strategy through production within SaaS or technology-driven environments.
Familiarity with AI-assisted development workflows and a strong interest in how AI is transforming software engineering.
Strong communication skills with the ability to explain complex technical concepts and trade-offs.
Ability to thrive in ambiguous, fast-paced environments with a high level of ownership and accountability.
A collaborative mindset with a passion for mentoring, innovation, and building great engineering teams.
Benefits:
Competitive compensation package based on experience and qualifications.
Opportunity to work on highly visible products serving a large and growing user base.
Remote-friendly work environment with flexibility and autonomy.
Chance to contribute to cutting-edge AI-powered technology initiatives.
Collaborative culture focused on innovation, ownership, and professional growth.
Opportunities to work with modern engineering technologies and scalable cloud infrastructure.
Supportive environment that values creativity, teamwork, and continuous improvement.
Equal opportunity workplace committed to building diverse and inclusive teams.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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