Senior Product Manager Core Protections jobs at Mcafee in Canada

About the role

• Work closely with developers to develop, automate, and execute test plans
• Work closely with other SDETs to make test automation framework changes, perform code reviews, and implement test automation best practices
• Use and automate a variety of debugging tools to assist in triage and collecting system information
• Use creativity, product, and operating system knowledge to develop and execute a variety of exploratory test scenarios
• Help build CI/CD pipelines using Jenkins to automate the software development lifecycle
• Identify and implement opportunities to improve and automate the CI/CD process
• Provide build verification and sign-off

About you

• You have 2+ years of quality testing and automation experience
• You have experience working with python and C++
• You understand and can apply software testing best practices
• Knowledge of Windows Operating System and architecture
• Knowledge of Windows SysInterals tools a bonus
• Knowledge of Windows WHQL and HLK processes a bonus
• Knowledge of anti-malware applications, network applications, cloud programming a bonus
• Knowledge of executable file-formats (MZ, PE, COFF, ELF, MACH-O) is a bonus
• You like working in a team and have excellent communication skills
• You like finding creative solutions to solve hard problems

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

About the role:

• Develop and train optimal ML models in big data environment for use in product features and with the purpose of maximizing business & product outcomes
• Curate and manage telemetry, dataflows and workflow automation to operationalize and systemize creation and use of up-to-date ML models in a continuous improvement strategy
• As an embedded and integral part of a product team, perform the duties and rituals of an agile development lifecycle
• Work with team and cross-team members to design, develop, debug and release production quality products

About you:

• 2 to 5 years of proven track record of ML and deep learning industry experience
• Excellent oral, written, and interpersonal skills
• Advanced degree in Data Science, Statistics, Computer Science or a related field
• Expertise in data science lifecycle and data modeling
• Proficiency in SQL, Python and/or R
• Using databases and big data systems
• General programming skills a plus, including C/C++, JS and other common languages
• Collaborating, analyzing, documenting and converging on software design and data modeling in a large group

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

• Leadership & Team Development : Lead and mentor a high-performing team of ML scientists. Foster a collaborative culture that promotes innovation, continuous learning, and technical excellence.
• Strategic Vision : Drive the ML Science strategy for pricing, recommendation systems, and personalized consumer experiences, aligning efforts with McAfee’s objectives to optimize customer value.
• Model Development : Oversee the design, implementation, and delivery of ML models using user behaviour and subscription data to enhance personalization and product value. Familiarity to traditional and classical ML is a plus.
• Reinforcement Learning Implementation : Guide the team in applying reinforcement learning techniques, such as contextual bandits, SARSA, and Q-learning. Implementexploration-exploitationstrategies like epsilon-greedy, Thompson sampling, and Upper Confidence Bound (UCB) to optimize decision-making frameworks for pricing and recommendation engines.
• Cross-Functional Collaboration : Work closely with teams across Marketing, Product, Sales, and Engineering to ensure that ML solutions align with strategic objectives and deliver measurable business impact.
• Optimization & Experimentation : Lead the team in creating algorithms for optimizing consumer journeys, increasing conversion rates, and driving monetization strategies. Design and execute controlled experiments (A/B and multivariate tests) to validate and improve model performance.
• Research & Knowledge Sharing : Stay at the forefront of ML science, contributing to the development of new algorithms and applications. Share knowledge through internal presentations, publications, and participation in academic or industry forums.
  

• 8+ years of experience in machine learning, with 3+ years in a leadership role managing ML scientists. You’ve demonstrated the ability to drive technical innovation and mentor teams.
• Proven track record in at least one of the following: Implementing AI/ML personalization techniques to enhance consumer/customer product experiences; Developing AI/ML-based dynamic pricing and personalized offer strategies for pricing optimization, or Creating customer/consumer churn and propensity models specifically for digital subscription use cases
• Expertise in classical ML and deep learning techniques (XGBoost, Random Forest, SVM, deep neural networks, etc.), reinforcement learning techniques (contextual bandits, SARSA, Q-learning), and proficiency in Python, SQL, and ML frameworks.
• You are proficient with ML libraries like PyTorch, Scikit-learn, and others. You have a strong background in feature engineering, model validation, and evaluation metrics.
• You possess a deep understanding of the mathematical and statistical principles behind machine learning algorithms (e.g., linear algebra, calculus, probability) and are driven by solving complex problems. You have a track record of researching and applying new ML techniques to solve real-world challenges.
• You are an effective communicator who can explain complex ML concepts to technical and non-technical stakeholders. You excel in collaborating with cross-functional teams to align ML models with business goals.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

• Leadership & Team Development : Lead and mentor a high-performing team of ML scientists. Foster a collaborative culture that promotes innovation, continuous learning, and technical excellence.
• Strategic Vision : Drive the ML Science strategy for pricing, recommendation systems, and personalized consumer experiences, aligning efforts with McAfee’s objectives to optimize customer value.
• Model Development : Oversee the design, implementation, and delivery of ML models using user behaviour and subscription data to enhance personalization and product value. Familiarity to traditional and classical ML is a plus.
• Reinforcement Learning Implementation : Guide the team in applying reinforcement learning techniques, such as contextual bandits, SARSA, and Q-learning. Implement exploration-exploitation strategies like epsilon-greedy, Thompson sampling, and Upper Confidence Bound (UCB) to optimize decision-making frameworks for pricing and recommendation engines.
• Cross-Functional Collaboration : Work closely with teams across Marketing, Product, Sales, and Engineering to ensure that ML solutions align with strategic objectives and deliver measurable business impact.
• Optimization & Experimentation : Lead the team in creating algorithms for optimizing consumer journeys, increasing conversion rates, and driving monetization strategies. Design and execute controlled experiments (A/B and multivariate tests) to validate and improve model performance.
• Research & Knowledge Sharing : Stay at the forefront of ML science, contributing to the development of new algorithms and applications. Share knowledge through internal presentations, publications, and participation in academic or industry forums.
  

• 8+ years of experience in machine learning, with 3+ years in a leadership role managing ML scientists. You’ve demonstrated the ability to drive technical innovation and mentor teams.
• Expertise in classical ML and deep learning techniques (XGBoost, Random Forest, SVM, deep neural networks, etc.), reinforcement learning techniques (contextual bandits, SARSA, Q-learning), and proficiency in Python, SQL, and ML frameworks.
• You are proficient with ML libraries like PyTorch, Scikit-learn, and others. You have a strong background in feature engineering, model validation, and evaluation metrics.
• You possess a deep understanding of the mathematical and statistical principles behind machine learning algorithms (e.g., linear algebra, calculus, probability) and are driven by solving complex problems. You have a track record of researching and applying new ML techniques to solve real-world challenges.
• You are an effective communicator who can explain complex ML concepts to technical and non-technical stakeholders. You excel in collaborating with cross-functional teams to align ML models with business goals.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

About the role:

• Lead a team of SDEs and SDETs focused on delivering a best in class web application for our customers to manage their subscription and account.

• Be hands on to provide technical / design guidance & support, be active in code reviews to hold a high bar for code quality.

• As scrum master, collaborate with TPMs on project management and execution, holding the team accountable to project milestones.

• As coach and mentor for the team, guide each member with their career and job skill development, to ensure team is well equipped to deliver impactful business outcome.

• Effective communicator and excellent at collaborating with stakeholders, driving consensus and solving problems with urgency and efficacy.

About You:

• You have 3+ years of experience as an Engineering Manager, with experience managing SDEs and SDETs.

• You have 7+ years of experience in application development in ReactJS, Redux, HTML/CSS.

• You have a strong knowledge of distributed systems, performance at internet scale and mastery at UI concepts.

• You have strong knowledge of object-oriented concepts.

• You have experience with the software development process, optimization techniques, and testing methodologies.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement