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Bengaluru, Karnataka, India
Hybrid
We're looking for a Senior Manager, Software Engineering to join Procore's Customer Adoption team in Bangalore, a new team with a mission to develop experiences that help customers achieve their outcomes with Procore's products. Procore software solutions aim to improve the lives of everyone in construction, and the people within Product & Technology are the driving force behind our innovative, top-rated global platform. We're a customer-centric group that encompasses engineering, product, product design and data, security, and business systems.
In this Senior Manager role, you'll hire, lead, and grow a high-performing software engineering team responsible for shaping the end-to-end onboarding and adoption experience for Procore customers worldwide. You'll set the technical direction across both front-end and back-end services, with a particular focus on building customer-facing experiences and robust APIs that integrate with Data and AI platforms. You'll drive delivery of high-impact features, continuously raise the bar on performance, scalability, and reliability, and partner closely with Product, Design, Data Engineering, Machine Learning, and Customer Success leaders to define technical architecture, scope, and execution. Along the way, you'll mentor engineers and tech leads to do their best work and excel in their careers.
Lead and grow a full stack engineering team in Bangalore, including managing senior engineers and tech leads, and supporting their professional and technical growth through coaching, performance reviews, and career development.
Own the technical strategy and delivery roadmap for the Adoption and Onboarding team's full stack services and customer-facing experiences, in close partnership with Product and Design leadership.
Drive architecture and design decisions across the front-end and back-end stack, with deep ownership of application design, versioning, performance, and experience for both internal and external consumers.
Partner closely with Data Engineering and Machine Learning teams to integrate data pipelines, models, and AI-powered features into the onboarding and adoption experience, ensuring clean contracts, reliable delivery, and strong observability across system boundaries.
Ensure backend services are scalable, secure, observable, and aligned with Procore-wide Engineering direction and platform standards.
Lead engineering-led initiatives that improve developer productivity, code quality, and platform health, and challenge the status quo when better approaches exist.
Champion the responsible and effective adoption of AI-assisted development tools (such as Claude Code, Cursor, and similar) across your team, establishing best practices for productivity, code review, and quality.
Partner with peer Engineering Managers and Senior Managers globally to align on cross-team initiatives, dependencies, and shared platform decisions.
Establish and monitor KPIs and SLOs for the team's services and APIs, and ensure a strong incident response posture so customer-impacting issues are resolved quickly.
Communicate clearly and frequently with engineering leadership on operational performance, delivery progress, risks, and strategic initiatives.
Foster a collaborative, inclusive, and innovative team culture where engineers feel supported, challenged, and able to do their best work.
Bachelor's degree in Computer Science, a related discipline, or equivalent experience.
3+ years of experience as an Engineering Manager leading high-performing software teams, including experience managing senior engineers or tech leads.
8+ years of experience as a software engineer building data-intensive applications and scalable backend services.
Strong hands-on background and current proficiency across the full stack, with deep experience in React, Node.js, and TypeScript.
Demonstrated experience designing, building, and operating REST and GraphQL APIs at scale, including schema design, performance optimization, authentication, and API lifecycle management.
Proven track record of partnering with Data Engineering and Machine Learning teams to ship production features, including integrating data pipelines, model serving, and ML-driven experiences into customer-facing products.
Demonstrated experience adopting AI coding tools (for example Claude Code, Cursor, GitHub Copilot, or similar) in a production engineering environment, and a clear point of view on how to use them to improve team velocity and quality.
Experience managing globally distributed teams and partnering across time zones, with a passion for helping engineers grow their careers.
Proven track record of close collaboration with Product and Design to shape roadmaps and execution plans for customer-facing products.
Strong grasp of the full software development lifecycle, including CI/CD, testing strategy, deployment, runtime platforms, monitoring, and incident response.
Experience operating in an Agile/Scrum environment.