Apps Growth Consultant

Google
London, UK
2 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence App Store (IOS) Big Data Data Visualization Mobile Application Software SQL Databases Large Language Models Google Play

Job description

The Global Business Consulting (GBC) team identifies growth opportunities in partners’ products, markets, and improvement opportunities in user experience and quality. Apps Growth Consulting as part of GBC focuses on consultations enabling developers to identify optimum strategies for facilitate agreements, user acquisition and engagement, app economies, subscriptions, and more.

Members of the Apps Growth Consulting team are equal parts consultants, analysts and product managers comfortable leveraging our domain expertise to transform data into information, narrate and present the insights to partners’ product, marketing, data teams and executives.

As an Apps Growth Consultant you will leverage your strong domain expertise in mobile apps development, analytics and operations to help partners to build and grow successful mobile businesses on Google Play. In this role you will collaborate with cross-functional team members to elevate developer’s knowledge, thereby enabling product improvements which enhance value for users and drive sustainable business growth.

You will accomplish this goal by leveraging your expert knowledge in apps vertical and the wealth of Google’s data to identify meaningful growth opportunities and guide adoption of the optimum solution(s) which remedies the deficiency or capitalizes on the opportunity for the partners’ products. Additionally, you will impact the global apps ecosystem by abstracting solutions into reusable strategies and methodologies, leveraging these consulting resources and AI capabilities to enhance developer sophistication and ecosystem health.

Responsibilities

  • Analyze the performance of partner’s apps to identify areas for optimization and growth.
  • Create and deliver insights which communicate growth opportunities to Google Play and partner side product, analytics and executive leadership.
  • Provide thought leadership through the creation and delivery of original strategy consulting materials enabling optimal capitalization on growth opportunities.
  • Partner with developers during extended consulting engagements to assist with designing, executing, iterating and quantifying the impact of product improvements and collaborating with analysts and data engineers to scale consulting insights and materials, leveraging AI capabilities and internal platforms.
  • Consolidate category insights and trends into guidance materials that benefit the wider developer ecosystem.

Requirements

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor’s degree in a quantitative field (e.g., engineering, mathematics, economics, etc.) or equivalent practical experience.

  • 6 years of experience in a design, product management or operations role at a mobile apps company., * MBA or Advanced degree in a related field.
  • 5 years of experience in a product management or business operations role at a mobile app developer.
  • Experience working with data visualization tools to deliver results.
  • Experience working with LLM tools, creating context documents, evaluating outputs.
  • Experience using SQL to retrieve data from large data warehouses, or excellent technical abilities and a desire to learn SQL.
  • Knowledge in one or more of the following areas: product strategy and roadmap development; app monetization (subscriptions, in app purchases or ads), user engagement (onboarding, conversion strategies, churn reduction, etc.), CRM and lifecycle management.

About the company

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:06 min

Developer experience and project variety at scale

Alexandra Petri · World Congress 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

3:36 min

Configuring Android production bundles and Google Play integrations

Edoardo Dusi · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

Videos

See all

Related articles

See all