Staff Engineer; AI

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 accelerates the customer’s journey to becoming a more connected and intelligent business. The Conga Advantage Platform is recognized worldwide for enhancing this journey, bringing together Configure, Price, Quote, Contract Lifecycle Management, and Document Automation capabilities on a single open platform. It integrates seamlessly with any ERP, CRM, and Cloud. Powered by a unified data model and purpose-built AI, Conga helps companies achieve a unique advantage—one built on seamless connection, actionable intelligence, and scalable growth.

Our approach is grounded in the Conga Way, a framework that reflects our values and drives everything from hiring to decision-making, as well as key programs including recognition. Created with direct input from our colleagues, the Conga Way forms the foundation of our vibrant culture.

Job Title: Staff Software Engineer (AI)
Locations: Boston, MA;
Houston, TX;
Waterloo, Ontario;
Remote US (ET preferred)
Reports to: VP, AI Engineering

A quick snapshot … As a Staff Software Engineer, you’ll be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You ’ll lead high-priority projects, set technical directions for teams, and ensure alignment with organizational goals. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while mentoring and elevating others to meet a very high technical bar.

Why it’s a big deal… You’ll be a strategic technical leader to define and drive the technical vision and roadmap for Conga’s AI/GenAI systems, aligning with company objectives and future growth. You’ll have the opportunity to provide architectural leadership for complex, large-scale AI systems, and act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. You’ll have ownership of high-impact projects, shaping the future of Conga’s products while mentoring engineers, fostering a culture of continuous learning and technical excellence.

Related experience. You have 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. You have a proven track record of designing and deploying scalable, production-grade AI solutions. You’ve led complex technical initiatives that required influencing cross-functional teams while mentoring teammates, navigating change, and creating space for collaboration and growth.

Technical expertise. You have:

• Deep expertise in Python and frameworks such as Tensor Flow, PyTorch, FastAPI, Lang Chain, Lang Graph, and Kube Flow.
• Advanced knowledge of AI/ML algorithms, generative models, and LLMs.
• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern Dev Ops practices.
• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/No
  
  SQL).

Analytical thinker and creative problem solver. You utilize your expertise to navigate ambiguity and deliver impactful solutions. You’re skilled in identifying creative solutions to unique customer requirements, ensuring our customer issues are resolved in a manner that meets or exceeds their expectations without increasing their costs.

Strong communication and interpersonal skills. You’re skilled at reading and adapting to different communication styles. You communicate priorities, trade-offs, and goals clearly, that engages and inspires both technical and non-technical stakeholders.

Education. You’ve completed your Bachelor’s and Master’s degree in Computer Science, Engineering, or a related technical field. Maybe you’ve even gone on to obtain your Ph.D.

Here’s what will give you an edge…

Additional expertise. You’ve had the opportunity to lead the development of generative AI solutions, leveraging advanced techniques such as multi-modal models, reinforcement learning, and responsible…