Senior Technical PM - Mobile & App Store

About the role

The role defines consumer mobile strategy and execution alongside engineering. You own product direction for mobile and app store delivery in a remote setup across US time zones.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Consumers advance engagement, retention, and delight through ownership of the mobile product roadmap.

Technical approaches are reviewed, architecture discussions are contributed to, and unambiguous specifications are written by engineering teams.

Identification, scoping, and delivery of AI-powered features enhance the consumer experience.

Measurable outcomes are defined, and the team is held accountable for success metrics.

Consumer-facing design is shaped by balancing user experience goals with technical constraints.

Stakeholders at all levels receive clear communication of product strategy.

Requirements

The posting states a bachelor's degree requirement. A proven track record as a Senior PM or above focuses on consumer mobile products.

Mastery of mobile app store ecosystems for iOS App Store and Google Play is required beyond mere awareness.

Fluency in Python or Java is required and assessed during the process.

Shipping AI or ML features in a consumer product is required.

Strong B2C product instincts are required, understanding consumers rather than only users.

Building structure in an early-stage product environment, instead of inheriting it, is required.

Prior remote work experience is required, with fluency in remote collaboration tools such as Slack, Zoom, Google Workspace, or similar.

Nice to have

App Store Optimisation management within a broader growth strategy is preferred.

Background in consumer subscription or freemium business models is preferred.

Familiarity with mobile CI/CD pipelines and release tooling is preferred.

Experience working closely with data science or ML teams is preferred.

Skills & tools

Python and Java form the core coding requirements for this role.

Mobile analytics tools such as Firebase and Amplitude are used for measurement.

AI/ML APIs and tooling support feature development.

Project management happens through Linear, Jira, or similar systems.

Communication relies on Slack, Zoom, and Google Workspace.

Practical notes

Completing the application form in full is mandatory, including a short technical assessment. Successful applicants receive an email confirmation of next steps. Incomplete applications are not considered.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Mobile product management in this role relies on real operational experience with app store ecosystems. The work combines consumer insights with technical credibility. AI features are integrated into core product experiences. Remote collaboration across US time zones is central. The role uses a mix of product, analytics, and engineering tools.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.

About the company

A New York-based startup - supported by top-tier venture investors - builds enterprise software that empowers global brands to monitor and optimize advertising budgets of $1 million+ annually. Rapid expansion has prompted the formation of a first-generation go-to-market team tasked with accelerating revenue growth.