We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together.
Alteryx is looking for a motivated and seasoned Senior Engineering Manager with a strong background in Machine Learning (ML), GenAI, and cloud-based technologies. As part of the AI/ML Products group, you will lead a high-performing team to build scalable, distributed systems that form the execution layer of Alteryx’s analytics cloud. This is an excellent opportunity for professionals passionate about creating innovative solutions and mentoring future leaders.
Responsibilities:
- Lead the design, development, and deployment of Gen AI/ML solutions within the Advanced Analytics Org.
- Drive the technical strategy and roadmap, aligning with product and business objectives.
- Collaborate with Product, UX, and cross-functional engineering teams to define and deliver scalable AI/ML features.
- Manage, mentor, and grow a team of 15-18 engineers, fostering technical excellence, innovation, and career development.
- Architect and implement distributed systems, microservices, and event-driven architectures to support Gen AI/ML solutions.
- Own the delivery of Gen AI/ML models and systems using LLMs, RAG, LangChain, LangGraph, and knowledge graphs.
- Drive the adoption of MLOps practices, ensuring reliable model deployment, monitoring, and retraining pipelines.
- Actively contribute to system design, architecture reviews, and code reviews.
- Leverage cloud services (primarily AWS) and infrastructure-as-code to enable scalable, resilient Gen AI/ML platforms.
- Represent the team in engineering leadership forums, release planning, and executive briefings.
- Foster a collaborative and high-performance engineering culture, balancing innovation with timely delivery.
- Stay ahead of industry trends and drive the adoption of emerging technologies and techniques in GenAI, NLP, and AI/ML.
- Ensure delivery quality by promoting best practices in TDD, CI/CD, DevOps, and scalable infrastructure design.
- Translate complex technical concepts into clear, concise information for senior leadership and non-technical stakeholders.
Requirements:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, or related field.
- 12+ years of experience in software engineering, Gen AI/ML, or a related technical domain.
- 6+ years of experience leading engineering teams, mentoring engineers, and driving AI/ML innovation.
- Expertise in distributed systems, microservices, event-driven services, and orchestration frameworks.
- Strong programming skills in Python with deep experience in ML frameworks such as PyTorch, TensorFlow, JAX.
- Solid understanding of data-centric AI techniques, knowledge graphs, and retrieval-augmented generation (RAG).
- Strong grasp of OOP, design patterns, and test-driven development (TDD)methodologies.
- Proficiency in working with SQL databases (Oracle, Snowflake), NoSQL, Graph, and Vector databases.
- Extensive hands-on experience with AWS services (CloudFormation, EC2, EKS, SageMaker) and infrastructure-as-code tools.
- Proven track record delivering ML-driven solutions using LLMs, LangChain, LangGraph, and GenAI technologies.
- Expertise in NLP techniques, model experimentation, and fine-tuning large language models for production use.
- Strong experience with MLOps practices, Kubernetes, and parallel computing techniques.
- Experience balancing exploration vs. exploitation when introducing new technologies while ensuring production reliability.
- Exceptional communication skills to convey technical ideas to both technical and non-technical audiences.
- Proven ability to work with and influence senior leadership and stakeholders across departments.
- Passion for leading and mentoring engineering teams, fostering a culture of collaboration and innovation.
Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.
This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.
Top Skills
What We Do
Alteryx is a leader in Analytic Process Automation (APA). The Alteryx APA platform unifies analytics, data science and business process automation in one easy-to-use platform to accelerate digital transformation. Every data worker, regardless of technical acumen, is empowered to be curious and solve problems.
Why Work With Us
Alteryx’s mission is to deliver breakthroughs. We promise customers our technology will help them deliver breakthrough outcomes. We make a similar commitment to employees: Working at Alteryx will be your breakthrough.
Whether you are looking to make a change in your career or your life, Alteryx is a place where you will make it happen.
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