MLOps Manager

We are seeking a highly motivated and experienced MLOps Engineering Manager to lead the development and growth of our new MLOps team. This is a unique opportunity to build a world-class MLOps function from the ground up and play a critical role in driving the success of our AI/ML initiatives across the organization. You will be responsible for defining the MLOps vision, strategy, and execution, ensuring seamless collaboration with data science, data engineering, and product teams.

About Intapp:

Intapp, based in Silicon Valley, is a leader in Vertical AI SaaS solutions, collaborating with the world’s top firms globally across accounting, consulting, investment banking, legal, private capital, and real assets. With 20+ years of industry expertise, Intapp's "Intelligence Applied" approach is transforming how businesses operate and leverages a strategic partnership with Microsoft in delivering industry cloud solutions. The company culture promotes accountability, responsibility, and growth in a diverse, inclusive, and collaborative environment. Since going public in 2021 and trading on the NASDAQ, Intapp has expanded to over 1,200 employees globally with development centers in Palo Alto, Charlotte, Belfast, Berlin and Lisbon.

About Lisbon:

Intapp is excited to expand its Research & Development center in Lisbon, aiming to add 50 new team members in the next year. Lisbon’s tech ecosystem and vibrant community make it an ideal destination for engineers and tech professionals from around the world. The city's reputation for innovation aligns perfectly with Intapp’s mission to leverage AI and cloud-based solutions. Lisbon offers an ideal work-life balance and quality of life, making it an attractive city for top talent. Joining Intapp in Lisbon provides a unique opportunity to help shape the new flagship development center and contribute to high-impact projects in a thriving tech environment.

What you will do:

• Build, lead, and mentor a high-performing MLOps team, attracting and retaining top talent.

• Define and implement the organization's MLOps strategy and roadmap, aligning with business objectives and AI/ML initiatives.

• Establish key performance indicators (KPIs) to measure the effectiveness of the MLOps function.

• Design, build, and maintain a scalable, reliable, and secure MLOps platform leveraging cloud technologies.

• Optimize infrastructure costs and performance.

What you will need:

• Experience in an MLOps leadership role, with a proven track record of building and scaling high-performing teams.

• Strong technical expertise in MLOps principles and technologies, including CI/CD for ML models, data versioning, model monitoring, and experimentation tracking.

• Hands-on experience with relevant technologies, such as Kubernetes, Docker, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP).

• Experience with data engineering, machine learning, and software engineering best practices.

• Excellent communication, collaboration, and leadership skills.

• Strong analytical and problem-solving skills.

Technical Expertise:

• Deep understanding of MLOps principles and best practices, including CI/CD for ML models, data versioning, model monitoring, and experimentation tracking.

• Hands-on experience with relevant technologies, such as Kubernetes, Docker, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP).

• Experience with data engineering, machine learning, and software engineering best practices.

What you'll gain at Intapp:

Our culture at Intapp emphasizes accountability, responsibility, and growth.  We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We’re committed to creating a modern work environment that’s connected yet flexible, supporting both professional success and work-life balance. In return for your passion, commitment, and collaborative approach, we offer:

• A state-of-the-art facility with fully stocked kitchen – only 2-minute walk to/from Gare do Oriente

• A hybrid work system supporting agile and flexible hours.

• Attractive compensation – including competitive base pay and performance based variable pay

• Equity/Stock in Intapp

• Opportunity to travel to other development centers for product training and cross-site collaboration.

• One time home office stipend

• Generous paid parental leave (including adoptive leave), marriage leave, bereavement leave, carer's leave and paid sick days.

• Meal allowance.

• Reimbursement for training towards continuing education

#Li-MT1

Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks if applicable to the position.

Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at https://www.intapp.com/working-at-intapp/. If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.