Senior AI Product Manager

What We Offer:

• A key role in a fully remote startup at the forefront of AI-powered mental health solutions, offering significant flexibility and autonomy.

• The opportunity to work with a close-knit, 30-person team that has achieved strong product-market fit, profitability, and is experiencing rapid growth.

• A collaborative, international environment with a clear path for career progression, including potential opportunities to advance into senior leadership roles.

Responsibilities:

• Product Execution: Drive the execution of product strategy by translating it into actionable tasks and leading the development process from concept to post-launch analysis.

• Data-Driven Insights: Utilize strong statistical knowledge and data analysis skills to validate ideas, make informed decisions, and guide product development. Focus on delivering MVPs that quickly bring value to market.

• Cross-Functional Leadership: Lead a product team of 5 to 7 people, including UX designers, developers, and machine learning experts. Collaborate closely with external stakeholders such as marketing, sales, and customer success to ensure alignment and effective product delivery.

• Operational Efficiency: Manage product operations with precision, including accurate estimation of technical efforts and effective use of tools like Mixpanel/Metabase, Google Sheets, Miro/Figma, Google Analytics, Notion, and Clarity/Hotjar.

• Continuous Improvement: Analyze product performance post-launch, gather insights, and iterate rapidly to enhance product offerings and maintain market competitiveness.

Requirements:

• Experience: At least 5 years in product roles (Product Owner, Analyst, Manager), with a minimum of 3 years specifically in product management, ideally in fast-paced environments.

• Technical Acumen: Solid understanding of software development processes and architecture, with the ability to effectively communicate with engineering teams.

• Agile Expertise: Proven experience with Agile methodologies, capable of leading teams through iterative development cycles efficiently.

• Data Proficiency: Strong background in data analysis, with experience validating product ideas through rigorous qualitative and quantitative research.

• Tool Mastery: Proficient in using product management and analytics tools such as Mixpanel/Metabase, Google Sheets, Miro/Figma, Google Analytics, Notion, and Clarity/Hotjar.

• Leadership and Collaboration: Demonstrated ability to lead a small, cross-functional team and work effectively with external stakeholders in marketing, sales, and customer success.

Personal Qualities:

• Self-Starter: Highly motivated and proactive, capable of driving projects forward independently.

• Strategic Mindset: Able to align day-to-day execution with broader business goals, focusing on delivering value.

• Adaptable and Resilient: Comfortable with change and uncertainty, thriving in a dynamic, remote work environment.

• Detail-Oriented: Strong attention to detail, with a commitment to delivering high-quality products.

• Aligned with Company Values: Deeply aligned with Mentalyc’s mission to empower therapists and improve mental health outcomes through innovative technology.

• Contract-Based Employment: Ability to work on a contract basis, especially if located outside the U.S., with a long-term commitment to becoming a key player in the company’s future success.

• Time Zone Compatibility: Able to work within overlapping time zones with a distributed product team across Europe, Africa, and the eastern parts of the Americas, and with clients predominantly in the U.S.

Nice to Have:

• Background in Statistics, Math, ML, or Psychology: A solid background in statistics, mathematics, machine learning, or psychology, combined with practical experience. Coding experience is a plus but not required.

• Industry Experience: Experience working on tools for mental health therapists or electronic health records (EHRs).

• Growth Expertise: Experience with product-led growth and growth marketing, including segmentation, targeting, and other strategies to drive user acquisition and retention.