Senior Product Manager, Recommendations

Inkitt

San Francisco (CA)

Sur place

USD 175 000 - 190 000

Plein temps

14 jours+

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Avantages offerts par ce poste

401k plan
Health benefits
Professional coaching
Team-building events
Unlimited access to company apps
Self-development book budget
Charity donation at anniversary
Free lunch in the office
Gym access for employees
Dog-friendly office

Résumé du poste

A cutting-edge technology company in San Francisco seeks a Senior Product Manager to lead innovative product strategies. You will drive A/B testing, leverage machine learning, and enhance user experiences across multiple apps. Ideal candidates will have over 5 years of product management experience in a dynamic environment, focusing on personalization and recommendation systems. This role offers competitive compensation and a vibrant workplace culture.

Qualifications

  • 5+ years of proven experience in product management.
  • Expertise in search, recommendation engines, and data analytics.
  • Proactive in fast-paced environments.

Responsabilités

  • Drive innovation for A/B tests and recommendations.
  • Leverage algorithms and data to enhance user engagement.
  • Define product strategy across multiple apps.

Connaissances

Product management experience
Machine learning concepts
Deep understanding of user needs
Creative problem solving

Description du poste

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This range is provided by Inkitt. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$175,000.00/yr - $190,000.00/yr

Inkitt is building the Disney of the 21st Century, standing at the forefront of technology and entertainment. Leveraging AI and predictive algorithms, Inkitt discovers unknown stories and turns them into blockbuster hits, producing a new $1M ebook every 4 weeks and selling directly to consumers through its Galatea app. Inkitt has become the 11th most bestseller-generating publisher in the world, boasting a 40x higher hit-rate than traditional publishers. Recently raising a Series C and backed by some of the top VC’s such as: Khosla, Kleiner Perkins, and NEA Ventures, our recent expansion into CandyJarTV is only the beginning of our journey to becoming the next-gen entertainment powerhouse.

Inkitt is building the Disney of the 21st Century, standing at the forefront of technology and entertainment. Leveraging AI and predictive algorithms, Inkitt discovers unknown stories and turns them into blockbuster hits, producing a new $1M ebook every 4 weeks and selling directly to consumers through its Galatea app. Inkitt has become the 11th most bestseller-generating publisher in the world, boasting a 40x higher hit-rate than traditional publishers. Recently raising a Series C and backed by some of the top VC’s such as: Khosla, Kleiner Perkins, and NEA Ventures, our recent expansion into CandyJarTV is only the beginning of our journey to becoming the next-gen entertainment powerhouse.

What You’ll Do:
  • Drive innovation, definition, roadmap, and design of A/B tests and recommendations experiments to accelerate story discovery and subscriptions
  • Leverage advanced algorithms, machine learning concepts, and recommendation engines to drive engagement and satisfaction across our mobile apps
  • Develop and execute the product strategy for personalization features across our Inkitt, Galatea, and CandyJarTV apps, ensuring alignment with overall business goals and crafting personalized experiences for our users
  • Spearhead a small cross-functional team to explore, execute, iterate, and deliver great search/recommendation experiences
  • With a deep understanding of our users’ needs, wishes, and problems, you will work with our Data Science team to build a long term roadmap and champion our customers’ needs at all times
  • Define metrics and make product and strategic decisions based on A/B testing and/or qualitative feedback
What You'll Bring:
  • 5+ years of proven experience in product management, with a solid track record in building or managing data/algorithm-driven software products
  • Domain knowledge and expertise in one or more of the following areas: search, recommendation engines, personalization, data analytics, statistics, machine learning, information architecture, consumer behavior
  • Experience in building or managing data/algorithm-driven software products
  • Startup Hungry: You are proactive; able to thrive in a fast-paced evolving work environment
  • Think out of the box: You have experience with identifying various business problems or product flaws by coming up with creative solutions. Passion for creating and designing useful innovative products
  • Technical: You have an excellent understanding of how recommendation systems work under the hood
  • Empathy: Deeply understand our readers, writers, engineers, designers, business stakeholders
  • Location: Onsite in San Francisco, CA
Who We Are Looking For:
  • Autonomous
  • Bring solutions instead of problems
  • Data driven
  • Quick to action
  • A high functioning workaholic
  • Looking for exponential career growth
  • Have lots of fun building a generational AI x Entertainment company
What We’ll Offer:
  • 401k plan, designed to help you save for the future
  • Health benefits tailored to your needs, including medical, dental, and vision coverage
  • Professional coaching for everyone
  • Team-building events, including our annual Tulum trip
  • Unlimited access to our Galatea app and CandyJarTV app
  • Unlimited budget for self-development books
  • Charity donation of your choice at your one year anniversary
  • Free lunch in office everyday
  • Class Pass membership for US based employee and gym access for Berlin employees
  • Dog-friendly offices in Berlin and San Francisco

At Inkitt, we strive to build a company culture and provide employment opportunities based on diversity and inclusion. We believe every author should have an equal opportunity to succeed, as should our team members. As a growing team from 20+ countries, we welcome everyone to apply.

We look forward to hearing from you!

Check out ourCareers Blog

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Salary offers are determined based on the candidate’s experience, skills, and alignment with the requirements of the role, as well as internal equity and market benchmarks.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Product Management and Marketing
  • Industries
    Entertainment Providers

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