Product Marketing Manager (Testora)

Gismart, a prominent international developer of mobile applications, is seeking a talented Product Marketing Manager to join their team and focus specifically on the Testora application. Testora is dedicated to fostering personal development by providing users with tools for self-discovery. Gismart has established itself as a significant player in the mobile app market, boasting over a billion downloads across its portfolio, which spans Health & Wellness, Utilities, and Music categories. The company is committed to promoting global well-being through its innovative digital products.

About the role

This is a remote position, offering flexibility and the opportunity to contribute to a global organisation from anywhere. The Product Marketing Manager will play a crucial role in driving the growth and success of the Testora app. You will be at the forefront of understanding the market, identifying user needs, and translating those insights into actionable growth strategies. This role requires a blend of strategic thinking, analytical prowess, and a creative approach to problem-solving.

The core of this role revolves around identifying and capitalising on opportunities for Testora's expansion. This involves a multifaceted approach:

• **Market and User Insight:** You will conduct thorough research into the competitive landscape and delve deep into user behaviour and preferences. This will involve gathering qualitative and quantitative data to pinpoint areas with the greatest potential for growth and improvement.
• **Hypothesis Generation:** Based on your research findings, you will formulate and prioritise product growth hypotheses. These will be educated guesses about what specific changes or features could lead to increased user engagement, retention, or acquisition.
• **Experimentation and Analysis:** A key responsibility will be to design, implement, and rigorously analyse growth experiments. This data-driven approach allows for the validation or refutation of your hypotheses, providing concrete evidence to guide product development and marketing efforts.
• **Collaboration:** You'll likely work closely with product, design, and engineering teams to ensure that growth initiatives are effectively integrated into the product roadmap.

What they're looking for

Gismart is searching for an individual with a proven track record in fast-paced environments, demonstrating a capacity to achieve measurable results. Key qualifications and attributes include:

• **Experience:** A minimum of two years of experience in a relevant field, showcasing a history of successful outcomes.
• **Problem-Solving Acumen:** Strong analytical and problem-solving skills are essential, with a particular emphasis on identifying the root causes of challenges and opportunities.
• **Data Proficiency:** You should be comfortable working with product metrics and making data-driven decisions. An understanding of how to translate raw data into actionable hypotheses is crucial.
• **Adaptability and Learning:** The ability to learn quickly and embrace new tools and technologies, including AI and automation, is highly valued.
• **Language Skills:** Proficiency in English at an Upper-Intermediate (B2+) level is required for effective communication within the international team.

For professionals in South Africa, roles like this, focusing on product marketing and growth within the tech sector, can offer a rewarding career path. While specific salaries vary widely based on experience, company size, and exact responsibilities, it's a field that often attracts competitive remuneration. Common employers in this space range from well-established tech giants to innovative startups. Advancement typically involves moving into more senior product management or marketing leadership positions, or specialising in growth hacking and user acquisition strategies.

• 2+ years of experience in a fast-paced environment with proven results.
• Strong problem-solving skills, with a focus on root cause analysis.
• Proficient in working with product metrics and data-driven hypotheses.
• Fast learner open to utilizing AI and automation tools.
• Upper-Intermediate (B2+) English proficiency.