4 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Define and drive an AI-enabled engineering productivity strategy across Document Automation products and services.
- Identify and prioritize AI opportunities across software discovery, architecture, coding, testing, review, documentation, release, troubleshooting, and support workflows.
- Build prototypes, reference implementations, reusable accelerators, integrations, and agentic workflows for broad team adoption.
- Establish practical standards, guardrails, and secure usage patterns for AI-assisted software engineering.
- Integrate successful practices into delivery workflows, CI/CD pipelines, and quality processes.
- Define baselines and success measures, evaluate adoption and outcomes, and continuously improve engineering practices.
- Mentor Staff, Senior, and other engineers and build an AI engineering community of practice in India.
- Influence technical decisions across services and systems and communicate recommendations to engineering and product leadership.
- Contribute code, review designs, troubleshoot complex issues, and demonstrate new development techniques in product environments.
Requirements
- 10+ years of software engineering experience and a record of designing, building, and operating enterprise-grade SaaS solutions.
- Principal-level experience leading complex initiatives across multiple products, services, or engineering teams and influencing without direct authority.
- Practical experience applying generative AI, large language models, coding assistants, agentic workflows, retrieval techniques, or related technologies to software engineering.
- Strong proficiency in C# and .NET, with experience in distributed systems and modern web application frameworks such as React.
- Meaningful experience building on AWS or Azure and working across frontend, backend, platform, and delivery concerns.
- Deep knowledge of automated testing, observability, secure development, code quality, and modern delivery practices.
- Ability to evaluate privacy, security, intellectual property, reliability, and governance considerations for AI adoption.
- Ability to define outcome measures and prioritize solutions based on value, usability, adoption, and maintainability.
- Strong communication, collaboration, facilitation, and technical leadership skills.
- A bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
- Preferred experience includes GitHub Copilot, Azure Foundry, Azure OpenAI, Amazon Bedrock, OpenAI APIs, AI agents, tool integrations, evaluation frameworks, prompt and context strategies, retrieval-augmented solutions, developer platforms, CI/CD automation, test generation, code review automation, knowledge systems, engineering analytics, and large-scale multi-tenant SaaS.
Categories
About Conga
Conga builds enterprise SaaS for revenue lifecycle management, including CPQ, contract lifecycle management, billing, eSignature, and document generation with deep Salesforce integration. It sells subscriptions to businesses with complex commercial operations, helping unify quoting, contracting, and fulfillment. Founded in 2006 and headquartered in Houston, the privately held company reports more than 10,000 customers worldwide, including over half of the Fortune 100.