Senior Manager, Software Engineering
Bengaluru, Karnataka, India
Diligent Corporation
Diligent, a modern governance company, is the only comprehensive governance software provider featuring tools to improve and simplify modern day governance.About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.Learn more at diligent.com or follow us on LinkedIn and Facebook
Position Overview
You will work closely with technology and business teams to understand requirements, design robust architectures, and influence technology choices to deliver innovative solutions. In addition to leading SaaS software development, you will drive initiatives in Data Engineering, Data Warehousing, and Artificial Intelligence (AI). You will collaborate with principal engineers and leadership, and have opportunities to cross-collaborate with inter-disciplinary teams to solve unique challenges in the GRC & ESG domain.
Key Responsibilities
- Shape the product and technical vision for the team, collaborating with product, business, and engineering leadership across the company.
- Manage and mentor a team of engineers developing highly scalable, performant, maintainable, and well-tested SaaS features.
- Lead the design and implementation of modern data warehouse solutions, ensuring data quality, scalability, and security.
- Oversee the integration of advanced AI and machine learning models into SaaS products to deliver intelligent features and insights.
- Hire, mentor, and lead a world-class group of engineers with expertise in SaaS, data engineering, and AI.
- Foster a culture of innovation, experimentation, and continuous improvement.
- Evaluate engineering requirements and design proposals, especially in the context of data-driven and AI-powered applications.
- Assess and develop the technical performance of individual contributors within the team.
- Stay current with the latest frameworks and technologies in SaaS, Data Engineering, and AI, influencing technology choices for the application stack.
- Facilitate daily stand-ups, risk identification and mitigation, dependency resolution, and follow-ups for gap closure.
- Partner with Product Management and Business teams to drive the agenda, set priorities, create project plans, and deliver outstanding products.
Required Experience/Skills
- 10 to 15 years of relevant experience in developing enterprise SaaS applications using MERN/.NET, MySQL, MS SQL, and caching technologies.
- 2+ years of experience leading engineering teams building scalable platforms and architectures, including data engineering and AI initiatives.
- Proven experience designing, building, and maintaining data warehouse solutions (such as Snowflake, Redshift, or BigQuery) and data pipelines (ETL/ELT).
- Hands-on experience with AI/ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn) and integrating AI models into production SaaS environments.
- Strong background in data modeling, data governance, and data quality best practices.
- Experience with cloud platforms (AWS/Azure), CI/CD, DevOps, scripting, and SQL/NoSQL databases.
- Demonstrated success in migrating monolithic applications to microservices and on-premises solutions to cloud environments.
- Passion for building a data-driven culture, growing talent, and making a significant impact through technology.
- Strong communication skills for engaging with end users, technical, and business teams to gather requirements and describe product features and technical designs.
- Ability to seek clarity in ambiguous situations and drive projects to completion.
- Experience in Agile development and knowledge of Scrum and Kanban methodologies.
- Self-motivated learner and builder with a strong customer focus and a commitment to delivering high-quality solutions.
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure BigQuery CI/CD Data governance Data pipelines Data quality Data warehouse Data Warehousing DevOps ELT Engineering ETL Kanban LLMs Machine Learning Microservices ML models MS SQL MySQL NoSQL Pipelines PyTorch Redshift Scikit-learn Scrum Security Snowflake SQL TensorFlow
Perks/benefits: Career development Flex hours Flex vacation Health care Startup environment Wellness
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