PfizerSr. Manager, AI Product Engineer
Pfizer is hiring a Sr. Manager, AI Product Engineer. Level rates it ; you can apply on Pfizer.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions Python, APIs and software engineering among its tools and skills.
- Level classes it as a senior role.
- Pfizer has 572 other open roles on Level.
- Posted in the last few days.
AI in this role
Design and build AI-native product capabilities, models, and retrieval flows within Pfizer's AI Development Pod.
ROLE SUMMARY
At Pfizer, our purpose is breakthroughs that change patients’ lives and our colleagues make this happen. All over the world, our colleagues work together to touch millions of lives.
The Sr. Manager, AI Product Engineer is a senior hands-on engineer in an AI Development Pod in the AI Product & Innovation Studio, building and delivering Spark and new, yet to be imagined platforms which will drive the company’s AI vision and strategy. The role owns the technical quality and delivery of significant product areas within the pod and helps set the bar for what is good enough to put in colleagues’ hands.
Operating globally, the Sr. Manager works with AI Product Owners and the pod’s Director, AI Product Engineer to turn the “what” into working software: designing, building, testing and shipping features, and mentoring other AI Product Engineers. The bar is working software, honest estimates, and no unowned prototypes.
ROLE RESPONSIBILITIES
- Design and implement core product capabilities, including AI-native flows (models, tools, retrieval, evaluation) that must work under real colleague use.
- Act as technical lead for a product slice: break down work, review code, and keep quality high without becoming a bottleneck.
- Partner with AI Product Owners to shape scope for learning speed and operability; surface technical risk early.
- Raise the engineering bar through pairing, critique, and examples — especially for Manager, AI Product Engineers.
- Work with DevOps on CI/CD, environments, and production readiness for what you own.
- Contribute to shared studio patterns so the two development pods do not diverge accidentally.
- Instrument features; use data and failure traces to improve the product, not only to debug.
- Communicate clearly in demos and design reviews; write the minimum design notes others can act on.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, or related field — or equivalent practical experience.
- 6+ years of professional software engineering with a track record of shipping and iterating production systems.
- Hands-on experience integrating AI/ML or generative AI into product features.
- Ability to lead technically without formal authority: sequencing, review, and coaching.
- Strong fundamentals: APIs, data, testing, and debugging of distributed web systems.
- Excellent collaboration with product and design in iterative, ambiguous environments.
- Clear written and verbal communication.
PREFERRED QUALIFICATIONS
- Advanced degree.
- Experience as a tech lead on a squad or pod.
- Familiarity with modern AI platforms and at least one major cloud.
- Healthcare, pharma, or other regulated-industry experience.
- Mentoring or informal people-development experience.
- Previous consulting or senior product-engineering experience is a plus.
Please apply by sending your CV in English.
Work Location Assignment: Hybrid
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Information & Business Tech
How we rate this
Sr. Manager, AI Product Engineer at Pfizer rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Engineering, Machine learning, Generative AI, Distributed Systems, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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