Senior Manager, Engineering

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Database
The Role
Lead and scale the India-based engineering team for Logi Composer, drive product delivery across geographies, own technical strategy, CI/CD, architecture, and security/compliance, mentor engineers and managers, coordinate with product/DevOps/support, and integrate AI-assisted tools and agentic AI into workflows and product features.
Summary Generated by Built In

About Us:

insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics. We deliver finance teams the insights required to navigate any economic climate and drive greater financial intelligence, while increasing productivity, visibility, accuracy, and compliance. Learn more at insightsoftware.com.

Job Description:

Senior Manager, Engineering – Logi Composer

insightsoftware | Embedded Analytics | Bengaluru, India

About the Role

We are looking for a Senior Manager of Engineering to lead the India-based team responsible for Logi Composer, insightsoftware's flagship embedded analytics platform. The ideal candidate is a hands-on engineering leader who can build and scale a high-performance team, drive complex product deliveries across geographies, and raise the technical bar on a product used by enterprise customers globally. You will report to the Senior Director of Engineering and work closely with Product Management, DevOps, Customer Success, and global peers.

What You'll Do

Team Leadership & Talent Development

  • Lead, mentor, and grow a strong India-based engineering team delivering the Logi Composer platform
  • Drive recruiting, hiring, performance management, and career development for engineers and engineering managers
  • Champion a culture of ownership, continuous improvement, and engineering excellence
  • Proactively manage attrition risk through engagement and growth opportunities

Product Delivery

  • Partner with Product Management and Product Owners to define technical approach, roadmap alignment, and sprint execution within an Agile-Scrum framework
  • Ensure timely, high-quality releases — including performance improvements, backward compatibility, and cloud hosting capabilities
  • Manage delivery commitments, surface risks early, and communicate status clearly to stakeholders

Technical Strategy

  • Drive evolution of tooling, CI/CD pipelines, code quality standards, and development methodology
  • Contribute to architectural decisions including microservice design, framework selection, and deployment models for both On-Premise and SaaS environments
  • Build and deepen the team's data domain knowledge across the embedded analytics stack
  • Foster a culture of innovation — encouraging exploration of emerging technologies and continuous experimentation to keep Composer ahead of market expectations
  • Champion adoption of AI-assisted development tools (e.g., GitHub Copilot, Claude) and drive integration of AI agents into product features and engineering workflows

Stakeholder Management

  • Coordinate across Product, DevOps, Support, and Customer-facing teams on execution, escalations, and roadmap dependencies
  • Collaborate with the QA/Testing team — independent of this reporting structure — to align on quality standards, test coverage, release readiness, and defect resolution
  • Manage vendor relationships and tooling budgets with appropriate business justification
  • Provide regular, concise status reporting to senior leadership on delivery health and risks
  • Engage with Customer Success and Support teams to understand enterprise customer pain points and feed insights back into the engineering roadmap

Security & Compliance

  • Ensure engineering practices adhere to secure coding standards and data privacy requirements relevant to enterprise SaaS products
  • Partner with DevOps and Security teams on vulnerability management, penetration testing readiness, and compliance obligations (e.g., SOC 2, GDPR)

What We're Looking For

Technical Skills

  • JavaScript/TypeScript — particularly React and Node.js; familiarity with npm, webpack
  • Java, REST APIs, microservices architecture, and web application development at scale
  • Relational databases and hands-on SQL; exposure to NoSQL (Elasticsearch, MongoDB, etc.) is a plus
  • CI/CD pipelines, Git, and Atlassian tools (Jira, Confluence, GitHub)
  • Cloud platforms (AWS, Azure, or GCP) and SaaS deployment patterns
  • OOP/SOLID principles, design patterns, data structures, and code testing practices
  • Embedded analytics or BI platform experience strongly preferred; data domain concepts (semantic layers, metrics, ETL) highly desirable
  • Proficiency with AI-assisted development tools such as GitHub Copilot, Claude, or equivalent — with a track record of integrating them into engineering workflows to boost productivity
  • Understanding of Agentic AI — ability to design and embed AI agents into product features or development workflows to drive automation and innovation

Leadership & Soft Skills

  • 8+ years managing software engineering teams of 15+ engineers
  • 2+ years in second-level management (managing engineering managers)
  • Proven track record leading geo-distributed teams and cross-region transitions
  • Excellent written and verbal communication across all levels — developers to executives
  • Strong emotional intelligence and data-driven decision-making with a bias for delivery
  • Demonstrated ability to manage through ambiguity — especially during team transitions, product pivots, or organizational change
  • Experience driving engineering culture in a remote-first or hybrid distributed team environment

Qualifications

  • BS or MS in Computer Science or equivalent professional experience
  • 10+ years of web application development in Agile environments
  • 8+ years engineering management, including 15+ engineer teams and 2+ years second-level management
  • Java 12+ years and ReactJS/microservices 7+ years preferred

Why This Role

  • Lead a strategically important embedded analytics product with a growing enterprise customer base
  • Shape engineering culture and team capability for a newly transitioned India-based team
  • Work within a global engineering organization that values innovation and engineering craft
  • Be at the forefront of AI-driven engineering — leveraging agentic workflows and AI tooling to redefine how software is built
  • Competitive compensation with a clear growth path to Director-level leadership

insightsoftware is an equal opportunity employer committed to creating an inclusive environment for all employees.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Learn more about our high-energy, high-performance global team: Work With Us

insightsoftware About Us: Hear From Our Team

Background checks are required for employment with insightsoftware, where permitted by country, state/province.

At insightsoftware, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

Skills Required

  • 8+ years managing software engineering teams of 15+ engineers
  • 2+ years in second-level management (managing engineering managers)
  • 10+ years of web application development in Agile environments
  • JavaScript/TypeScript (React, Node.js) with familiarity with npm and webpack
  • Java, REST APIs, and microservices architecture experience
  • Relational databases and hands-on SQL
  • CI/CD pipelines, Git, and Atlassian tools (Jira, Confluence), GitHub
  • Cloud platform experience (AWS, Azure, or GCP) and SaaS deployment patterns
  • BS or MS in Computer Science or equivalent professional experience
  • Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude) and track record integrating them into workflows
  • Understanding of Agentic AI and ability to design and embed AI agents into product/features or workflows
  • Experience leading geo-distributed teams and managing cross-region transitions
  • Experience driving engineering culture in remote-first or hybrid distributed teams
  • Embedded analytics or BI platform experience; data domain concepts (semantic layers, metrics, ETL)
  • Exposure to NoSQL databases (Elasticsearch, MongoDB)
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The Company
HQ: Austin, TX
573 Employees

What We Do

We help enterprises transform data into continuous intelligence and competitive advantage, uncovering insights locked deep in enterprise applications and integrating data across applications, platforms and business processes.

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