Senior Engineering Manager

IndiaIndiasenior
EngineeringManagementEngineering Manager
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Quick Summary

Key Responsibilities

Technical Depth & Experience 8+ years of relevant experience in software engineering, with deep expertise in distributed systems, big data processing, and data streaming technologies (e.g., Spark,

Requirements Summary

First 30 Days: Immersion & Foundation The focus is on rapid cultural integration and technical understanding of the product and team. Cultural &amp

Technical Tools
EngineeringManagementEngineering Manager
Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.
  • We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.
  • We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.
  • We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.
And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.

Bloomreach is solving one of the digital world’s most fundamental problems: helping people instantly find what they need when they need it. We are seeking a Senior Engineering Manager to lead our Analytics team responsible for building and evolving a high-scale distributed data processing platform that impacts hundreds of large B2C and B2B merchants. We are looking for a proven engineering leader who is passionate about mentoring and developing high-performing engineers, fostering a team-oriented culture, and rallying others to deliver on engineering initiatives that directly contribute to business goals and product strategies.

  • Define and champion the technical roadmap and design for a scalable data processing and insight platform, ensuring it meets the analytical needs of a high-growth search product.
  • Direct the implementation and maintenance of internal and external APIs, focusing on tackling tough scaling challenges to increase automation, improve operational efficiency, and lower system costs.
  • Establish best practices for data processing, observability, and documentation to measurably improve the team's operational efficiency and the overall stability of the platform.
  • Collaborate closely with Product Management and other stakeholders to translate ambiguous business needs into clear, actionable technical roadmaps and project plans.
  • Manage the full project lifecycle, overseeing planning, capacity, and development schedules to ensure predictable and high-quality feature delivery.
  • Implement and enforce rigorous software development lifecycles (SDLC), setting high expectations for code quality, change management, and security.
  • Drive alignment and consensus across geographically distributed teams and time zones, proactively resolving dependencies and conflicts.
  • Build and mentor a best-in-class data analytics engineering team, fostering an inclusive culture of continuous learning, psychological safety, and high performance.
  • Coach and develop engineering talent, creating growth opportunities and defining clear career paths within the organization.

Requirements

~1 min read

The focus is on rapid cultural integration and technical understanding of the product and team.

  • Cultural & Process Acumen: Achieve a deep understanding of the company's OWN, WE, THINK, NO DRAMA, and TRUTH core values. Become fully familiar with the 6-week development cycle and the quality/release processes.
  • Product Architecture Mastery: Develop a high-level comprehension of the Discovery product architecture and its key components.
  • Team & Project Mapping: Establish working relationships with all team engineers. Gain a clear handle on all in-flight projects, priorities, and individual ownership within the team.

The focus shifts to deep domain knowledge and assuming full ownership of team operations.

  • Deep Component Knowledge: Attain a thorough understanding of the Analytics component architecture, including its upstream/downstream dependencies and how it delivers customer business value.
  • Technology Stack & Trade-offs: Understand the team's entire technology stack (e.g., data stores, frameworks) and the architectural rationale behind its choices.
  • Process Ownership: Fully own and optimize the team’s operating norms and processes (e.g., sprint planning, bug triage, on-call/PagerDuty setup).
  • Internal Network: Establish key, cross-functional working relationships with Product and Engineering leaders outside the immediate team.

The focus is on driving measurable improvements and beginning talent management.

  • Operational Credibility: Successfully check in a small feature or bug fix and shepherd it through to production deployment, validating system and process knowledge.
  • Team & Quality Assessment: Develop a clear, objective insight into the team's strengths, weaknesses, and key quality/skill gaps.
  • Strategic Improvement Plan: Collaborate with Product and Engineering leadership to propose concrete suggestions for improving overall product quality, informed by the 90-day assessment.
  • Talent Management Kick-off: Establish strong rapport and begin actively managing engineers' careers, defining improvement areas and growth opportunities for each team member.

Responsibilities

~1 min read

If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!


Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.

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Listing Details

Posted
April 8, 2026
First seen
March 26, 2026
Last seen
April 13, 2026

Posting Health

Days active
17
Repost count
0
Trust Level
58%
Scored at
April 13, 2026

Signal breakdown

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Bloomreach
Bloomreach
greenhouse

Bloomreach is a cloud-based e-commerce experience platform specializing in marketing automation, product discovery, and content management systems, using AI to personalize customer experiences.

Employees
750
Founded
2009
View company profile
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BloomreachSenior Engineering Manager