A career that’s the whole package!
At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.
Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.
Job Title: Principal Software Engineer (AI,Fullstack)
Locations: Bengaluru
Reports to: Director of Software Engineering
A quick snapshot...
As a Principal Software Engineer within the Document Automation pillar, you will lead the practical adoption of AI-enabled engineering practices across multiple products, services, and teams. Your focus will be improving how software is designed, built, tested, reviewed, documented, released, and supported. You will combine hands-on engineering and prototyping with broad technical leadership to create reusable approaches, establish effective standards, and help teams achieve measurable improvements in productivity, quality, and delivery effectiveness.
Why it’s a big deal…
This role will help shape how Doc Auto uses AI across the software development lifecycle. You will identify high-value opportunities, validate them through hands-on implementation, and scale successful practices across the pillar. Your impact will extend beyond individual code contributions: you will mentor senior technical talent, build alignment across teams, and serve as the AI engineering champion for our India organization while keeping solutions secure, responsible, maintainable, and grounded in measurable business outcomes.
What you'll accomplish…
- Define and drive an AI-enabled engineering productivity strategy across multiple Document Automation products and services.
- Identify and prioritize opportunities to apply AI across discovery, requirements refinement, architecture, coding, testing, code review, documentation, release, troubleshooting, and support workflows.
- Build prototypes, reference implementations, reusable accelerators, integrations, and agentic workflows that teams can adopt at scale.
- Establish practical standards, guardrails, and secure usage patterns for AI-assisted software engineering.
- Partner with engineering leaders and teams to integrate successful practices into everyday delivery workflows, CI/CD pipelines, and quality processes.
- Define baselines and success measures, evaluate adoption and outcomes, and use evidence to continuously improve approaches.
- Mentor Staff, Senior, and other engineers; facilitate hands-on learning; and build a sustainable community of practice in India.
- Influence technical decisions across services and systems, build consensus where approaches differ, and communicate recommendations to engineering and product leadership.
- Remain hands-on by contributing code, reviewing designs, troubleshooting complex issues, and demonstrating new development techniques in real product environments.
Are you the person we’re looking for?
Principal-level technical leadership. You have a record of leading complex initiatives across multiple products, services, or engineering teams. You can work through ambiguity, anticipate future needs, build consensus, and influence decisions without relying on direct authority.
AI-enabled software engineering expertise. You have practical experience applying generative AI, large language models, coding assistants, agentic workflows, retrieval techniques, or related technologies to improve software engineering outcomes. You understand both the potential and limitations of these tools.
Hands-on software architecture and development. You have 10+ years of software engineering experience and a strong track record designing, building, and operating enterprise-grade SaaS solutions. You are comfortable moving from strategy to prototype to production-ready implementation.
Full-stack and cloud engineering. You have strong proficiency in C# and .NET, experience with REST APIs and distributed systems, and practical experience with modern web application frameworks such as React or comparable technologies. You also have meaningful experience building on AWS or Azure and understand how frontend, backend, platform, and delivery concerns work together.
Modern delivery practices. You have deep knowledge of CI/CD, automated testing, observability, secure development, code quality, and agile delivery. You can recognize workflow bottlenecks and implement scalable improvements that teams will use.
Responsible and secure AI adoption. You can evaluate privacy, security, intellectual property, reliability, and governance considerations and translate them into practical engineering guardrails.
Measurement and product thinking. You can define useful baselines and outcome measures, distinguish activity from impact, and prioritize solutions based on value, usability, adoption, and maintainability.
Communication and collaboration. You communicate complex technical ideas clearly to engineers, leaders, and cross-functional stakeholders. You are comfortable facilitating alignment, challenging assumptions constructively, and presenting recommendations with confidence and credibility.
Education. A bachelor's degree in Computer Science, Engineering, or a related field is preferred.
Here’s what will give you an edge…
- Experience leading AI adoption or developer productivity initiatives in a large engineering organization.
- Hands-on experience with tools and platforms such as GitHub Copilot, Azure Foundry, Azure OpenAI, Amazon Bedrock, OpenAI APIs, or comparable technologies.
- Experience designing AI agents, tool integrations, evaluation frameworks, prompt and context strategies, or retrieval-augmented solutions.
- Experience with developer platforms, internal tooling, CI/CD automation, frontend and API test generation, code review automation, knowledge systems, or engineering analytics.
- Experience working across modern web interfaces, service APIs, backend systems, and cloud infrastructure without being limited to a single layer of the stack.
- Experience supporting large-scale, multi-tenant SaaS products and modernizing established codebases and engineering workflows.
- A demonstrated ability to coach others and turn experimentation into repeatable, broadly adopted engineering practices.
How success will be measured…
- Adoption of effective AI-enabled practices across Doc Auto teams and workflows.
- Demonstrated improvements in delivery efficiency, quality, developer experience, or operational effectiveness.
- Reusable tooling, standards, and patterns that reduce duplicated effort across products and services.
- Growth in practical AI capability among engineers and technical leaders in India.
- Strong partnership and alignment across engineering, product, quality, security, and architecture stakeholders.
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Did we pique your interest?
If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you!
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Don’t meet every requirement for the role?
Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.
Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
Conga's Applicant Privacy Statement
The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant-privacy-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.
Skills Required
- 10+ years of software engineering experience
- Experience leading complex initiatives across multiple products, services, or engineering teams
- Practical experience applying generative AI, large language models, coding assistants, agentic workflows, retrieval techniques, or related technologies to software engineering
- Strong experience designing, building, and operating enterprise-grade SaaS solutions
- Strong proficiency in C# and .NET
- Experience with REST APIs and distributed systems
- Experience with React or comparable modern web application frameworks
- Meaningful experience with AWS or Azure
- Deep knowledge of CI/CD, automated testing, observability, secure development, code quality, and agile delivery
- Ability to evaluate privacy, security, intellectual property, reliability, and governance considerations for AI adoption
- Ability to define baselines, outcome measures, and value-based priorities
- Strong communication, collaboration, consensus-building, and stakeholder presentation skills
- Bachelor's degree in Computer Science, Engineering, or a related field
- Experience leading AI adoption or developer productivity initiatives in a large engineering organization
- Experience with GitHub Copilot, Azure Foundry, Azure OpenAI, Amazon Bedrock, OpenAI APIs, or comparable technologies
- Experience designing AI agents, tool integrations, evaluation frameworks, prompt and context strategies, or retrieval-augmented solutions
- Experience with developer platforms, internal tooling, CI/CD automation, test generation, code review automation, knowledge systems, or engineering analytics
- Experience supporting large-scale, multi-tenant SaaS products and modernizing established codebases and engineering workflows
- Demonstrated ability to coach engineers and create repeatable engineering practices
Conga Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Conga and has not been reviewed or approved by Conga.
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Fair & Transparent Compensation — Key roles like sales and senior engineering are associated with strong total compensation and OTE ranges. Market positioning for similar postings is described as competitive for mid‑to‑senior roles in mid‑market SaaS.
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Healthcare Strength — U.S. medical coverage is offered through major carriers with HSA‑eligible options, prescription coverage, telehealth, and a health navigation resource. Company HSA contributions are available for eligible plans.
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Parental & Family Support — Paid parental leave is provided in the U.S. with meaningful bonding time. Inclusive family‑forming benefits are available through Carrot, covering adoption, surrogacy, fertility treatments, and pregnancy.
Conga Insights
What We Do
Conga crushes complexity within an increasingly complex world. With our revenue lifecycle management solution, we transform your unique complexities for order configuration, execution, fulfillment, and contract renewal processes with a single critical insights data model that adapts to ever-changing business requirements and aligns the understanding and efforts of every team. Our approach is grounded in the Conga Way, a framework of entrepreneurial spirit and achieving together to champion our 11,000+ customers. We’re committed to our customers and to removing complexity in an increasingly complex world. Our solutions quickly adapt to changing business models so you can normalize your revenue operations.
Why Work With Us
Under the leadership of our CEO, Noel Goggin, we're building an environment that fosters the natural attributes of Conganeers: curious, driven, gritty, creative, collaborative, caring, hard-working, servant oriented, humble, and honest. If you want to work hard and help create raving fans of our customers, we want you to join our global team!
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