Senior Manager/Director AI Analytics Technical Product Manager

Key Skills

Java Programming, Design of Experiment, Python Programming, SQL, Machine learning techniques, Deep Learning, Natural Language Processing (NLP), NumPy, PyTorch, Tableau, TensorFlow, Scikit-learn, R Programming, ETL frameworks

Job Description

At Salesforce, Enablement is tasked with creating best-in-class learning experiences for the entire Distribution organization. We are looking for a top-notch Artificial Intelligence (AI)/Machine-Learning (ML) Strategic Product Manager to join the Global Enablement Performance and Analytics Strategy team. Our team is tasked with delivering an intelligent data-driven enablement strategy that drives productivity and performance with optimized insights and personalized recommendations for our learners and enablers. We create sustainable and scalable intelligence that measures Enablement impact to maximize efficiency and drive value.

We aim to provide performance driven actionable recommendations and insights to enable our sales teams to increase their productivity, remove obstacles and reduce their time spend on on-sales activities.

You will leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive sales teams’ engagement, enablement program design, and make enablement activities measurable, actionable, relevant, and predictable.

The ideal candidates will have a solid background in statistics, data analytics and data science, and data visualization. They should exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions. They need to be highly analytical and creative in turning large complex data into conclusions, and be able to work with several cross-functional stakeholders and excel in relationship-building and collaboration.

If you are a product manager who is equally at home discussing a project with business owners, data scientists, researchers or developers, thrives on accelerating business growth, is willing to roll their sleeves up and do the hard work, and is extremely creative, collaborative, innovative – yet disciplined, methodical and down to earth – we want to hear from you.

Responsibilities:

• Partner closely cross functionally with the rest of Global Enablement teams to turn data into insights, action, and provide recommendations to influence and shape the enablement program strategy and enhance sales productivity.
• Design and build intelligent recommendations engine to increase enablement consumption and improve seller performance
• Partner with data architects, domain experts, data analysts and other teams to translate business requirements into KPIs and models.
• Understand and managing data pipeline models that connects seller performance data with learner profile and content profile data to generate just in time enablement recommendations driven by productivity.
• Research, prototype and build demonstrations of machine learning ideas for quick validation and feedback
• Apply statistical models and causal inference methods to uncover trends, measure impact, predict future performance, and provide actionable recommendations of the enablement programs.
• Collaborate closely with data scientists and data engineers to provide analysis, reporting and tool-building capabilities that inform our key stakeholders.
• Participate in architecture and code reviews. Identify, document and promote best practices.
• Constantly learn, have a clear pulse on innovation across machine learning, data science, AI fairness.
• Be prepared for changes in business direction and understand when to adjust designs.
• Provide status, action plans and recommendations to senior leadership on an ongoing basis
• Demonstrate operational excellence and strong can-do attitude.

Qualifications (must haves)

• BS degree in a quantitative field (e.g. Computer Science, Economics, Physics); An advanced degree (MS, PhD) preferred
• 4+ years experience in product management, with demonstrated ability to launch and manage new product releases
• 2+ years of experience in product data science in related tech industries
• Python/R, SQL, data visualization tools, data pipeline tools, descriptive machine learning, experimentation and measurement
• Ability to build clear and concise presentations, and communicate effectively at every level of the organization
• Great communication skills: ability to discuss with scientists, engineers, designers, and business managers
• Strong project management skills, Proficiency with software development methodologies such as Agile and experience working with Scrum teams
• A proven record of using data to drive product teams to release new features and achieve ambitious goals
• Practical experience in writing code or leading teams that leverage python data science libraries such as numpy, scikit-learn, pytorch, tensorflow etc.

• Fluent in prototyping/building machine learning models and algorithms and wrangling large datasets
• Exposure to industry or academic research, particularly in NLP, deep learning and neural networks.

Preferred Qualifications

• Experience in a role requiring influencing Learning & Development, Enablement or measuring products/programs impact.
• Knowledgeable about classical machine learning as well as deep learning approaches
• Contribute to the overall product strategy, product roadmap, and business plan for learning recommendation AI-ML Platforms
• Knowledge of MDLC (Model Development Life Cycle), to include Data Modeling, ETL, and Data Engineering
• Familiarity with business intelligence and data visualization tools (such as Tableau).
• Understanding of data governance practices such as metadata management, data lineage, and data glossaries is a plus