[Hiring] Senior AI Product Engineer @AppOmni

Role Description

The Senior AI Product Engineer plays a key role in the company’s AI strategy, offering the opportunity to make a meaningful impact across the whole platform. This position focuses on:

• Technical development, leadership, and product management.
• Designing, deploying, and maintaining AI systems (including Data Science and Machine Learning).
• Product roadmap ownership, high-level architecture, practical development, and hands-on implementation.

What You’ll Do

• Lead development efforts, mentor engineers and product managers, and make key architectural decisions involving Data Science, Machine Learning, and AI.
• Partner with Sales, Marketing, Customer Support, and other departments for full end-to-end ownership from the product and technical perspective.
• Develop greenfield projects and implement proof of concepts, including hands-on coding and connection to the product vision.
• Architect end-to-end AI systems by choosing the best AI approach for the problem to be solved.
• Bridge the gap between data science and product by translating complex problems into holistic AI solutions.
• Use data-driven solutions to address complex cybersecurity problems.
• Be responsible for pipeline metrics and work hands-on with MLOps to optimize model and pipeline performance.
• Drive technical strategy by evaluating third-party AI tools versus building in-house solutions.
• Establish data governance and security standards for the ethical and compliant use of sensitive information within AI models.
• Create and implement incremental development and implementation plans based on a product long-term vision.

Qualifications

• At least 5 years (or 3 if holding an advanced degree) of hands-on experience in product development as an engineer and individual contributor.
• At least 5 years (or 3 if holding an advanced degree) of experience managing, taking to production, and giving production support on global multi-million dollar products or projects.
• At least 4 years of experience in cybersecurity, automotive, energy, or health care industries.
• Experience handling large volumes of unlabeled data with complex schemas.
• Experience as both an individual contributor and project or product leader.
• Established and managed internal KPI (key performance indicators) for products and projects.
• Nice to have: experience in both large enterprises (more than 100k employees) and small companies (less than 500 employees).
• Familiar with waterfall and agile processes and certification frameworks such as APQP, IATF 16949, ISO.
• Experience with ML services in Cloud Platforms like GCP.
• Strong programming skills in Python, with a good understanding of libraries like Pandas, PySpark, TensorFlow, PyTorch, Keras, Langchain, Langsmith.
• Excellent communication and collaboration skills.
• Problem-solving and critical thinking abilities.
• Strong self-management skills and ability to prioritize tasks effectively.
• Proactive approach to work and ability to take initiative.
• Degree in a relevant field such as Engineering or Computer Science; nice to have: advanced degree in a related field.

Benefits

• Base Salary: $180,000 - $220,000, determined by skills, qualifications, and experience.
• Stock Options: Opportunity to be an integral part of the company's journey forward.
• Generous PTO, company and floating holidays, parental and family leave.
• Health insurance (medical, dental, vision with HSA option), EAP, company-provided life insurance, AD&D, STD/LTD, supplemental life insurance options.
• 401(k) with Roth, and a monthly wellness benefit reimbursement.