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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.

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

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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