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
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!
Preferred Resume Format
We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.
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
- 8+ years of software engineering experience
- At least 3 years managing engineering teams
- Deep understanding of Software Development Lifecycle (SDLC) and Machine Learning Lifecycle (MLL)
- Production implementation of AI/ML solutions and integration into real-time and batch applications
- Experience with ML frameworks: TensorFlow, PyTorch, MLflow, scikit-learn, or HuggingFace
- Comfortable with Java, C#, or Scala
- Python experience (preferred)
- Strong software engineering fundamentals: OOP, concurrency, microservices, REST APIs, test-driven development
- Familiarity with testing tools and practices (PyTest, xUnit, Selenium) and testing methodologies
- Hands-on cloud experience with GCP (BigQuery, GKE, GCS, DataFlow, Kubeflow, Vertex AI) or equivalent AWS/Azure services
- Experience with Infrastructure as Code and CI/CD tools (Terraform, GitHub Actions, Concourse, Ansible)
- Experience building ML platform components: feature stores, distributed training, model versioning, monitoring, drift detection, automated retraining
- Experience with responsible AI, explainability, and fairness frameworks
- Proven ability to mentor, hire, and develop engineering talent and lead cross-functional teams
- Bachelor's or Master's degree in Computer Science, Mathematics, Computational Linguistics, Electrical Engineering, or related field (preferred)
- Experience with AI product lifecycle management, model governance, and release management (preferred)
- Experience working in agile, cross-functional environments (preferred)
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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