Engineering Manager

WorkSpan; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

WorkSpan is seeking an Engineering Manager to lead a team of software engineers building scalable SaaS products, driving engineering excellence and AI-enabled development.

The ideal candidate has a strong software engineering background in Java or Python, with around 10 years of experience and 2–4 years in people management, and excels in mentoring, delivery, and cross-functional collaboration with product and sales.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical discipline.
• Around 10 years of software engineering experience with at least 2–4 years in engineering leadership.
• Proficient in modern languages such as Java, Python, Go, or C#.
• Experience with cloud-native, distributed SaaS architecture.

Responsibilities

• Lead a team of software engineers to build scalable SaaS products.
• Drive engineering excellence, delivery predictability, and AI-enabled development.
• Collaborate with product, customer success, and sales to align roadmaps.
• Mentor engineers and manage performance and career development.
• Champion AI-assisted software development and adoption of AI tools.

Skills

Software engineering 10+ years

Engineering team management 2-4 years

Java

Python

Go

C#

Education

Bachelor's or Master's in Computer Science or related

Tools

Cursor AI coding assistant

Claude AI assistant

Job description

The next era of growth is being driven by business interoperability. Cloud, genAI, solutions combining services and software- more and more, companies outpace their competition not just through building superior products, but by creating stronger partnerships, paths to market, and better business models for winning together. Cloud providers, service providers, tech partners and resellers are teaming up to win more deals together through co-selling.

WorkSpan is building the world’s largest, trusted co-selling network.

WorkSpan already has seven of the world’s ten largest partner ecosystems on our platform and $50B of customer pipeline under active management. AWS, Google, Microsoft, MongoDB, PagerDuty, Databricks and dozens of others trust WorkSpan to accelerate and amplify their ecosystem strategies. With a $30M series C and backing from world class investors Insight Partners, Mayfield, and M12, WorkSpan is poised to drive the future of B2B. Come be a part of it.

Join our team for the opportunity to:

• Own your results and make a tangible impact on the business
• Develop a deep understanding of GTM working closely with leadership across sales & marketing
• Work with driven, passionate people every day
• Be a part of an ambitious, supportive team on a mission

Role Overview

We are looking for an Engineering Manager who is passionate about technology, people, and execution. You will lead a team of software engineers building scalable SaaS products while driving engineering excellence, delivery predictability, and AI-enabled software development.

The ideal candidate has a strong software engineering background in modern programming languages such as Java or Python, understands how AI is transforming software development, and can leverage AI tools to significantly improve engineering productivity and product innovation.

This role requires someone who can balance technical leadership, stakeholder management, execution, and people development while fostering a culture of ownership and accountability.

Technical Leadership

• Lead the design, development, and delivery of scalable cloud-based SaaS applications.
• Guide architecture discussions and ensure engineering best practices across the team.
• Drive technical excellence through clean architecture, code quality, testing, security, and observability.
• Mentor engineers on system design, coding standards, and software craftsmanship.
• Stay current with emerging technologies and recommend pragmatic adoption where appropriate.
• Champion AI-assisted software development using tools such as Cursor, Claude, or similar AI coding assistants.
• Identify opportunities to leverage AI to improve engineering productivity, code quality, testing, documentation, and release management.
• Drive implementation of AI-powered product capabilities and collaborate with product teams to build intelligent customer experiences.
• Promote AI-first engineering practices that reduce development time while maintaining high quality.

Delivery & Execution

• Own end-to-end delivery of engineering initiatives with predictable execution.
• Improve engineering velocity by streamlining development processes and eliminating bottlenecks.
• Balance speed with quality while ensuring timely releases.
• Manage technical risks proactively and communicate mitigation plans effectively.
• Foster a culture of continuous improvement using metrics and data-driven decision-making.
• Build, mentor, and grow a high-performing engineering team.
• Conduct regular coaching, performance reviews, and career development conversations.
• Hire exceptional engineering talent and help create an inclusive, collaborative culture.
• Encourage ownership, accountability, innovation, and continuous learning.

Stakeholder Management

• Partner closely with Product Management, Customer Success, Professional Services, Sales, and Executive Leadership.
• Translate business priorities into engineering execution plans.
• Communicate project status, risks, dependencies, and trade-offs effectively.
• Build strong cross-functional relationships and influence decisions across teams.
• Drive accountability across engineering initiatives from planning through production support.
• Collaborate effectively with multiple engineering teams and external stakeholders.
• Ensure customer issues are prioritized appropriately and resolved with urgency.
• Promote operational excellence through effective incident management and continuous improvement.

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical discipline.
• Around 10 years of software engineering experience with at least 2–4 years managing engineering teams.
• Strong hands-on programming experience in at least one modern language such as Java, Python, Go, or C#.
• Experience building cloud-native, distributed SaaS applications.
• Strong understanding of software architecture, APIs, microservices, databases, and scalable system design.
• Demonstrated experience delivering complex software projects on schedule.
• Experience using AI tools to improve software development workflows and engineering productivity.
• Excellent stakeholder management and communication skills.
• Proven ability to influence without authority across cross-functional teams.
• Strong people management, coaching, and mentoring skills.
• High sense of ownership, accountability, and bias for execution.