Data Science Product Engineer

AppOmni prevents SaaS data breaches by delivering end-to-end SaaS security. Our platform gives security teams clear visibility into posture, access, third-party connections, AI-related activity, and with built-in discovery to identify unsanctioned SaaS and Shadow AI tools. Backed by continuous monitoring and real-time threat detection, AppOmni helps enterprises identify and resolve risks early, keeping their SaaS applications secure. Recognized as a Frost Radar™ 2025 Leader and Great Place To Work®, AppOmni continues to set the standard for innovation and customer value in SaaS security. The largest and fastest-growing global enterprises across industries trust AppOmni to secure their SaaS applications. About the Role The Senior Data Science Product Engineer plays a key role in the company’s AI strategy. This role offers the opportunity to make a meaningful impact across the whole platform. The Senior Data Science Product Engineer is a hybrid position covering the fronts of technical implementation, technical leadership and product management. This position focuses on envisioning, leading, managing, designing, deploying, and maintaining Data Science and Machine Learning systems , focusing on product roadmap ownership, high-level architecture and practical development, and hands-on implementation. What You’ll Do Technical Leadership: Leading development efforts, mentoring engineers and product managers, and making key architectural decisions that involve Data Science, Machine Learning and AI. Cross-functional collaboration: Partner with Sales, Marketing, Customer Support and other departments across the organization for a full end to end ownership from the product and technical perspective as well as internal enablement and customer support. Develop greenfield projects and implement proof of concepts, including hands-on coding and connection to the product vision. Architect end-to-end Data Science and Machine Learning systems by choosing the best implementation approach out of the holistic AI available tools (Data Science, Statistics, Machine Learning and Generative AI) for the problem to be solved, considering all relevant trade-offs and risks, while maximizing add-on value and minimizing costs, and work hands-on directly in the code with other engineers. Manage and lead the UX and UI development for the visualization aspects, Use data-driven solutions to address complex cybersecurity problems. Be responsible for the pipeline metrics and work hands-on with MLOps to optimize model and pipeline performance through proper monitoring, data mining, fine-tuning, prompt engineering, and hyperparameter tuning to meet latency and cost requirements. Drive technical strategy by evaluating third-party tools versus building in-house solutions to maximize ROI. Establish data governance and security standards to ensure the ethical and compliant use of sensitive information within Machine Learning and AI models. Be able to create, lead and implement incremental roadmap and engineering development plans based on a product long term vision. What We’re Looking For At least 5 years (or 3 if holding advanced degree) of hands-on experience in product development as an engineer and individual contributor, of which at least 3 years in the area of software, data science or machine learning. At least 5 years (or 3 if holding advanced degree) of experience managing, taking to production and giving production support on a combination of several global multi-million dollar products or projects with more than 20 engineers involved and more than 10 other employees in other cross functional teams, and projects or products involving a small team with less than 5 engineers. At least 4 years of experience in cybersecurity, automotive, energy or health care industries. Experience handling large volumes of unlabeled data with complex schemas and with application of statistics and unsupervised machine learning Have experience both as an individual contributor as well as project or product leader. Handled with other subject matter experts, budgets, legal contracts and statements of work with engineering contracting houses, suppliers and customers. Established and managed internal KPI (key performance indicators) for products and projects, including internal data analytics and dashboards involving financial metrics. Nice to have: worked in both big enterprises (more than 100k employees) as well as small companies (less than 500 employes) Familiar with waterfall and agile processes and compliance or certification frameworks such as APQP, IATF 16949, ISO, NIST, EU AI Act or similar. Experience with ML services in Cloud Platforms like GCP and infrastructure as codeStrong programming skills to be able to code and review code in Python, including a good understanding of libraries like Pandas, PySpark, TensorFlow, PyTorch, Keras, Langchain, Langsmith. Excellent communication and collaboration skills to work effectively with Product, Engineering, Field, and other cross-functional teams. Problem-solving and critical thinking with the ability to analyze complex problems, identify potential issues, and develop innovative solutions. Strong self-management skills and able to prioritize tasks and manage time 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 also in a related field of Engineering, Computer Science, Machine Learning or Artificial Intelligence. Culture Our team is collaborative and supportive as we move quickly to research and develop new ideas, deliver new features to our customers, and iterate on ideas and innovations. We accomplish this by focusing on our five core values: Trust, Transparency, Quality, Customer Focus, and Delivery. Our team is determined to make a difference to positively impact our way of life by securing the technology that is changing the world. AppOmni is proud to be Certified by Great Place to WorkⓇ, as we seek to build a culture where all employees feel appreciated and supported, especially with clear and honest leadership, employee recognition, and an environment that fosters innovation and collaboration. Diversity fuels innovation and drives growth by bringing various perspectives and skills. We’re committed to fostering an inclusive environment where employees feel valued, heard, and empowered to reach their full potential. Join us in building a workplace where we can all thrive. Compensation & Benefits AppOmni is committed to supporting our employees’ financial, professional, and personal well-being. To do this, we take a holistic view of compensation, one that values not just the immediate financial package, but also long-term growth of both our employees and our company. We’re committed to pay equity and transparency and encourage all candidates to discuss their salary expectations with us early in the application process. Our total rewards package includes: Base Salary: The annual base salary compensation range in the U.S. for this role is: $180,000 - $220,000. Final offer amounts are determined by factors such as the final candidate’s skills, qualifications, and experience, as well as business considerations and peer compensation. Stock Options: Our vision is to not just grow as a company but to grow together. By offering stock options, we invite you to be an integral part of our journey forward. Benefits: 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. AppOmni is an equal-opportunity employer. Applicants will not be discriminated against because of race, color, creed, national origin, ancestry, citizenship status, sex, sexual orientation, gender identity or expression, age, religion, disability, pregnancy, marital status, veteran status, medical condition, genetic information, or any other characteristic protected by law. AppOmni is also committed to providing reasonable accommodations to qualified individuals with disabilities and disabled veterans in our job application procedures.