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Job Views:  
720
Applications:  234
Recruiter Actions:  33

Posted in

IT & Systems

Job Code

1360874

Principal Product Manager - Content Recommendation

Posted 10 months ago
Posted 10 months ago

Hiring for a leading AI-powered employee experience platform headquartered in Silicon Valley, CA with offices in the UK, Canada, and India, and is backed by Sapphire Ventures, Norwest Venture Partners, Salesforce Ventures, andTola Capital.

The Opportunity

- As a Principal Product Manager, expect your creative, analytical, and leadership skills to be called upon from day one. You'll work alongside incredibly talented product managers, designers, data scientists and engineers, collaboratively building world-class ML products that solve our customer's greatest challenges and transform the way that teams work.

- This is a great opportunity to join a team as a founding PM responsible for a product that is defining the way companies engage and connect with their employees.

- In this role, you'll be tasked with developing and carrying out the plan to provide more relevant content recommendations in main feed, carousel, tile, email or newsletter. You'll work cross functionally with engineering, data science, research, and product experience teams to develop and execute on plans on


- You'll coordinate understanding and analysis priorities, own the product roadmap and develop execution plans for the team, ship major improvements to main feed and content recommendation and represent the product to leadership and external audiences.

Your Job Responsibilities

What you will be doing:

- Work with a cross-functional team of passionate engineers, data scientists, product managers, and UX designers through iterative releases

- Define and analyze metrics that inform the success of products

- Develop detailed product requirements

- Lead the ideation, development, and launch of innovative product features. You'll own and drive specific projects from start to finish

- Author application documentation, training guides, and related materials

- Set product direction and make decisions based on user feedback, user research, and data insights to deliver a phenomenal product experience for our customers

Your Skillset:

What makes you a great fit for the team:

- 9-15+ years of tech industry experience, 10+ years of which are within Product Management with SaaS or software solutions

- 5+ years of experience shipping machine learning and content recommendation products

- Strong understanding of behavioral economics: encouraging positive end-user behavior without mandating it

- Proven experience as a Product Manager in a technology company, preferably with social aspects features and products, communication tools, smart feed or content recommendations

- Bachelor's degree in Computer Science, Engineering, Business or a related field

- Entrepreneurial: Willing to work in a fast-paced environment, with competing priorities, and willing to make calls with limited information. Comfortable operating in a dynamic, fluid organization

- Technical: Comfortable with delving into the product, the platform, and the implementation details. Able to engage with engineers and data scientists beyond just product and user experience needs

- Metrics-driven: Having an inclination for identifying, defining, tracking and acting upon metrics

- Communicator: Strong written and verbal communication skills. Ability to convey strategy and rationale for priorities, and tradeoffs at a high level. Engage with engineering and design through detailed technical specifications and/or wireframes.

- A self-starter: High degree of self-direction and independent drive We'd especially like to hear from you if you have experience with:

- Content recommendation and personalized user experience: how to promote recommended content over multiple real-estate items, platforms and channels

- Smart feed or social aspects communication

- Behavioral economics business problems, like influencing user behaviors.

- New user onboarding tools and features like Pendo, "Walk me", etc.

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Posted By

Job Views:  
720
Applications:  234
Recruiter Actions:  33

Posted in

IT & Systems

Job Code

1360874

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