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Inkitt

Senior Product Manager, Recommendations

Hybrid Product
Added
15 days ago
Location
Type
Full time
Salary
$175K - $190K

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Related skills

machine learning recommendation engines search personalization data analytics

Inkitt is building the Disney of the 21st Century, standing at the forefront of technology and entertainment. Leveraging AI and predictive algorithms,

Inkittdiscovers unknown stories and turns them into blockbuster hits, producing a new $1M ebook every 4 weeks and selling directly to consumers through its

Galateaapp. 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

CandyJarTVis 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

    • Additional Information

    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💼

    Follow us onInstagram&LinkedIn!💻

    Compensation

    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.

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