Manager, Software Engineering (AI Platform)

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.

A quick snapshot

Conga is hiring a Manager, Software Engineering to join our exceptionally talented AI Engineering team. In this role, you’ll lead a team of software engineers building the AI/ML foundations that power product features across the company - from personalization and forecasting to NLP, recommendations, and generative AI.

You’ll collaborate closely with Engineering Managers, Architects, Data Scientists, Product Managers, and Directors across the AI Pillar. This is a highly cross‑functional, collaborative environment where you’ll grow as a leader, mentor others, and help shape Conga’s next generation of AI solutions.

This role requires strong engineering leadership, hands‑on experience with AI/ML systems, and excellent people and time‑management skills. You’ll guide your team to deliver high‑quality software solutions, influence technical strategy, and help drive Conga’s AI roadmap forward.

Why it’s a big deal

As a Manager, Software Engineering in the AI Platform, you’ll be responsible for building the core AI/ML foundations that power Conga’s products. Your leadership directly impacts how quickly and reliably we deliver intelligent features to customers.

You’ll drive strategy and execution for critical AI/ML platform components, including:

• Feature stores
• Distributed model training
• Model versioning and evaluation
• Monitoring, drift detection, and automated retraining
• Responsible AI, explainability, and fairness frameworks

You’ll also partner closely with Data Science and domain engineering teams to understand use cases and build scalable foundations for real‑time and batch applications.

Your work will shape how Conga builds, deploys, and governs AI at scale - making this role central to our long‑term innovation strategy.

Are you the person we’re looking for?

You’re an experienced engineering leader.

You bring 8+ years of software engineering experience and at least 3 years managing teams. You’ve led software development initiatives, coached engineers, and built high‑performing, collaborative teams.

You understand both SDLC and MLL.

You have a deep understanding of the Software Development Lifecycle and Machine Learning Lifecycle - from experimentation and model training to deployment, monitoring, and governance.

You build scalable AI/ML foundations.

You’ve implemented AI/ML solutions in production environments and understand how to integrate models into real‑time and batch applications. You’re familiar with ML frameworks like TensorFlow, PyTorch, MLflow, scikit‑learn, or HuggingFace.

You’re highly technical and hands‑on.

You’re comfortable with Python (preferred), Java, C#, or Scala. You understand modern engineering practices: object‑oriented programming, concurrency, microservices, REST APIs, and test‑driven development.

You champion engineering excellence.

You drive robust design, peer reviews, and efficient CI/CD practices. You understand testing concepts (white/black box, coverage, mocking) and tools like PyTest, xUnit, or Selenium.

You’re cloud‑native and infrastructure‑savvy.

You have hands‑on experience with GCP (BigQuery, GKE, GCS, DataFlow, Kubeflow, Vertex AI) or equivalent AWS/Azure services. You’re familiar with IaC and CI/CD tools like Terraform, GitHub Actions, Concourse, or Ansible.

You lead with clarity, empathy, and accountability.

You mentor engineers, foster teamwork, and encourage continuous improvement. You communicate clearly, break down complex tasks, and help teams deliver high‑quality outcomes on time.

You influence across teams and levels.

You collaborate with Product, Data Science, ML‑Ops, and DevOps partners. You translate business needs into engineering outcomes and guide architectural decisions for scalable, secure AI/ML systems.

What will give you an edge

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Computational Linguistics, Electrical Engineering, or a related field
• Experience with AI product lifecycle management, model governance, and release management
• Strong architectural instincts and experience providing technical oversight for AI/ML systems
• A track record of hiring, coaching, and developing engineering talent
• Experience working in agile, cross‑functional environments

Additional Information

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.

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