Senior Engineering Manager

Overview

Come join Intuit’s DevX team as Manager-2 focused on building the next generation App Intelligence platform. AI Native experiences are a critical part of Intuit’s strategy to be an AI driven expert platform. This fabric that powers both development environments to app runtime at Intuit is the backbone that enables our product teams to ship remarkable AI powered products. The cutting-edge large scale platform will offer experiences that enable App creators to build and publish new apps with next-gen AI capabilities.

On the technology stack, the leader will be overseeing platform development that spans the latest in information representation, Knowledge Graphs, Applied AI and rethinking how they could be seamlessly blended with state of the art contextual data from varied sources. If you are passionate about data-driven experiences and building the next generation of products this job is for you! Discover what it’s like to be part of a fast-paced team dealing with challenging engineering problems where self‑motivated engineers can do the best work of their life.

• Leading software development by gathering functional / non-functional requirements, driving technical decisions, teaming and capacity planning.
• Lead design, product development of Knowledge platforms and Applied AI to modern development experiences and AI Native UX.
• Manage a team of ICs with focus on individual project priorities, deadlines and deliverables
• Result oriented mindset with an affinity to produce high quality platforms
• Define, implement, and automate the continuous deployment of highly available, production workloads with zero downtime, along with operational metrics for monitoring
• Acting as the technical subject matter expert:
  Mentoring highly talented engineers while demonstrating technical expertise and drive solutions for challenging problems
• Experience with Agile Development, SCRUM, or Extreme Programming methodologies
• Engage with the open-source community, collaborate with third-party partners and contributors
• Evangelize the product through blogs, social media, demos and presentations at conferences, and meet‑ups

• BS/MS in Computer Science or equivalent work experience
• 12+ years of experience with at least 3+ years working as manager leading applied AI / ML products and experiences.
• Experience building large, high traffic platforms in at least three of Python, LLMs, RAG, Knowledge Graphs etc
• Hands on expertise in data modeling & preprocessing, including data cleaning like tokenization, stemming, lemmatization, etc. and organization using tools like Vector Stores, Semantic Clustering Techniques, Graph DBs etc
• Seasoned in Python, Pandas, Num Py and deep learning frameworks like Tensor Flow, PyTorch, etc
• A solid grasp of AI concepts like supervised and unsupervised learning, CNNs, RNNs, Model evaluation frameworks, encoders, decoders, positional encodings and feed‑forward networks.
• Knowledge of generative AI with Transformer models e.g. GPT‑4 and Diffusion models e.g. Stable Diffusion
• Familiarity with cloud AI platforms like AWS, Azure, GCP especially in deploying and managing AI releases
• Problem‑Solving and Critical Thinking:
  The ability to analyze problems, identify root causes, and devise effective solutions as a fundamental to AI engineering
• Passionate about data‑driven decision making, as well as automating anything and everything
• Excellent communication skills:
  Demonstrated ability to explain complex technical issues to both technical and non‑technical audience
• Driven, motivated team player with a “Get the Stuff Done” mentality!
• Working proficiency and communication skills in verbal and written English

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location.

To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: