• Lead, coach, and support a team of around 9 engineers within the Runtime function • Create a healthy, high-trust team environment with a strong focus on people management and team care • Drive planning, prioritisation, and execution across complex technical workstreams • Negotiate timelines and delivery trade-offs with stakeholders in a clear and pragmatic way • Build enough technical context to understand architecture discussions and help translate them into executable plans • Partner closely with technical leaders and contributors to keep projects moving and unblock delivery • Improve team ways of working, communication, and delivery predictability in a distributed environment • Support hiring, onboarding, and ongoing development of team members as the organisation grows

Role Description As a Senior Engineering Manager for AI Search & Retrieval, you will lead a high-performing team of engineers (including Senior Staff level talent) responsible for shaping the architecture and long-term evolution of our Search platform. You are a proven engineering leader who is passionate about mentoring technical talent, fostering a culture of psychological safety, and rallying a team to deliver on complex technical initiatives that directly contribute to business goals. This role is ideal for someone who balances strong people leadership with deep technical empathy for Search domains, distributed systems, and modern AI/ML production systems. What You’ll Do - Technical Leadership & Domain Strategy - Evolve Search Architecture: Champion the technical roadmap and long-term strategy for core Search infrastructure, spanning indexing, retrieval, ranking, query-time execution, and data processing. - Bridge Engineering & Applied Science: Partner closely with Applied Science and ML teams to productionize advanced ranking models, vector embeddings, and semantic retrieval techniques. - System Excellence at Scale: Ensure search systems meet strict latency, availability, and cost-efficiency SLAs under heavy, real-world enterprise traffic. - Modernize Data Pipelines: Direct the implementation of scalable data streaming and ingestion platforms to ensure search indexes are accurate, automated, and optimized. - Team and Project Management - Execute with Predictability: Collaborate closely with Product Management and cross-functional stakeholders to translate ambiguous business needs into clear, actionable technical roadmaps. - SDLC & Operational Health: Manage the full project lifecycle using structured development cycles. Set high expectations for code quality, rigorous design reviews, change management, and search evaluation metrics (including A/B testing). - Global Collaboration: Drive alignment and consensus across geographically distributed teams and time zones, proactively resolving dependencies and architectural conflicts. - People Leadership & Culture - Nurture High-Caliber Talent: Build, hire, and mentor a best-in-class search engineering team, fostering an inclusive culture of continuous learning, technical excellence, and high performance. - Coach Technical Leaders: Act as a manager and career coach to senior technical talent (including Staff/Senior Staff engineers), creating growth opportunities, defining clear career paths, and helping them maximize their impact as multipliers. Qualifications - 8+ years of professional software engineering experience, with a proven track record in backend infrastructure, distributed systems, and large-scale computing. - Strong domain expertise in Search or Information Retrieval systems, including understanding of search relevance, ranking, and catalog indexing. - Deep data ecosystem knowledge: Experience with big data processing or streaming technologies (e.g., Spark, Kafka, Flink, Solr, Lucene, or Elasticsearch). - 4+ years of hands-on experience architecting and operating production systems within AWS, GCP, or another major cloud provider. - Strong foundations in core production languages, with Java and/or Python strongly preferred. - 4+ years of experience successfully leading, hiring, coaching, and developing high-performance engineering teams. - Ability to possess and articulate a strong product and architectural vision for AI-driven platforms, balancing precision, recall, latency, and operational costs. - Proven ability to handle complex, high-volume production environments with excellent prioritization, time management, and a focus on measurable execution. - Exceptional communication skills, with the ability to explain complex technical tradeoffs to business stakeholders and advocate for engineering health. Bonus Points - Hands-on experience with vector search, embeddings, or semantic retrieval. - Familiarity with offline search evaluation frameworks and online A/B experimentation. - Experience in a high-growth, fast-paced SaaS, e-commerce search, or startup environment. What Success Looks Like in the First 30/60/90 Days - First 30 Days: Immersion & Foundation - Cultural & Process Acumen: Achieve a deep understanding of our core company values, the development lifecycle, and quality/release processes. - Product Architecture Mastery: Develop a high-level comprehension of the AI Search & Retrieval architecture, its key components, and underlying data flows. - Team & Project Mapping: Establish trusted working relationships with all team engineers. Gain a clear handle on all in-flight search initiatives, priorities, and individual ownership. - First 60 Days: Ownership & Optimization - Deep Component Knowledge: Attain a thorough understanding of search relevance systems, upstream/downstream dependencies, and how the platform delivers customer business value. - Process Ownership: Fully own and optimize the team’s operating norms and processes (e.g., sprint planning, bug triage, query performance review, and on-call rotations). - Internal Network: Establish key, cross-functional working relationships with Product, Applied Science, and Engineering leaders outside the immediate team. - First 90 Days: Strategic Impact & Talent Development - Operational Credibility: Successfully shepherd a small feature, enhancement, or optimization through to production deployment, validating system and process knowledge. - Team & Quality Assessment: Develop a clear, objective insight into the team's technical strengths, weaknesses, and key skill or capacity gaps. - Strategic Improvement Plan: Collaborate with Product and Engineering leadership to propose concrete suggestions for improving search relevance, system latency, or team efficiency. - Talent Management Kick-off: Actively manage engineers' careers, establishing robust rapport and defining tailored growth opportunities for each team member. Benefits - A great deal of freedom and trust; no corporate rules or long approval processes. - Flexible working hours to accommodate your working style. - Virtual-first work environment with several Bloomreach Hubs available across three continents. - Company events to experience the global spirit of the company. - 5 paid days off to volunteer. - $1,500 professional education budget annually. - Employee Assistance Program with counselors for non-work-related challenges. - Subscription to Calm - sleep and meditation app. - ‘DisConnect’ days for additional time off each quarter. - Extended parental leave up to 26 calendar weeks for Primary Caregivers. - Restricted Stock Units or Stock Options depending on role, seniority, and location. - Participation in the company's success through the company performance bonus. - Employee referral bonus of up to $3,000. - Celebration of work anniversaries - Bloomversaries!

• Lead and support a team of engineers, providing coaching, feedback, and day-to-day guidance while fostering a strong engineering culture. • Contribute directly to the design, development, and delivery of high-quality applications and APIs, remaining hands-on with architecture and coding where needed. • Drive technical discussions and provide leadership on architecture, scalability, quality, and engineering best practices. • Support delivery execution by removing blockers, coordinating with cross-functional partners, and ensuring the team can deliver reliably and sustainably.

Role Description As a Manager / Architect for Engineering, you will lead an engineering team that owns end-to-end a domain within our product suite, building features and capabilities that directly impact revenue outcomes for hotels worldwide. This is a high-impact role that requires you to combine strong technical depth with people management excellence, while actively shaping how your team works in an era where software engineering itself is rapidly evolving. - Lead, coach, and mentor your team members, building a culture of technical excellence and long-term career growth. - Work closely with your product trio (Product Manager, UX Designer) to define, manage, and execute the development roadmap for your domain. - Act as the technical go-to-person for your domain: lead architectural decisions with a long-term perspective, design and scope complex features, and be the first line of contact for escalations. - Build deep knowledge of the repositories and capabilities of related teams (Data Science, Integrations, Backend Platform) and advise them during shared developments. - Play a leading role in delivery: facilitate team processes, ensure the team has the context it needs, and absorb planning complexity. - Make small, hands-on contributions as an engineer to stay grounded in the day-to-day reality of writing software. - Leverage AI to streamline team processes, accelerate product ideation, and improve the quality of outcomes. - Set clear standards for how the team uses AI-assisted development tools responsibly in their daily workflow. Qualifications - An experienced people leader with a track record of managing engineering teams and a passion for coaching and mentoring. - A strong hands-on background in backend development, with deep experience in designing and building scalable APIs, services, and product systems. - The ability to see the bigger picture, breaking down large architectural projects into clear, manageable tasks. - A proactive, "can-do" attitude, with the ability to inspire a positive, solution-oriented mindset within your team. - A hands-on experience in using AI tools to optimize processes, speed up product exploration, and viewing AI as a core component of modern software architecture. - Professional proficiency in Python, with solid experience in backend frameworks such as Django or professional experience in GoLang. - Fluency in English, with excellent communication and stakeholder management skills. Requirements - Experience with frontend development using technologies like TypeScript, React, or Ember. - Experience in data-heavy product domains or within the hospitality technology sector. Benefits - Flexible time off: Autonomy to manage your work-life balance. - Alan Flex benefits: 160€/month for food or nursery. - Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. - Wellbeing support: Subsidized ClassPass subscription. - Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents. - Impactful work: Shape products relied on by 85,000+ users worldwide. - Referral bonuses: Earn rewards for bringing in new talent.