Senior Product Manager

Datarails is a SaaS B2B solution that tackles one of the biggest challenges in financial departments: the overflowing amount of data that, up until now, was managed by tons of Excel sheets. We take this scattered and unstructured data and consolidate into a single source of truth enabling finance professionals to follow it, manage it, and create the ever-needed order within the realm of finances.

Requirements:

6+ years of experience as a Product Manager with a proven track record of delivering impactful products that customers love and adopt.
Strong ownership abilities and entrepreneurial qualities: Self-driven and proactive with the ability to work autonomously and break complex problems down into manageable components and goals.
Experienced in leading cross-functional teams, including data science and research teams, with excellent communication skills.

Demonstrated expertise in developing analytical products that handle complex data ingestion, provide robust analysis capabilities, and offer insightful data visualizations.
Proven experience working with SaaS B2B products and complex systems.
A user-centric approach with the ability to blend technical expertise and UX.
Thrives in fast-paced environments, balancing the delivery of MVPs with an unwavering commitment to world-class products.
Background in finance, accounting, or economics, with advanced skills in Excel (an advantage).
Proficient in understanding and working with AI/ML-based products (an advantage)

What You'll Do:

Own the features and product development throughout the full lifecycle (e.g., ideation, design, implementation, launch).
Identify research and product opportunities where AI (ML/LLM) can enhance the planning and analysis processes for finance teams.
Develop and maintain a comprehensive product roadmap, ensuring alignment with business stakeholders.
Collaborate with and manage relationships across leadership, researchers, engineers, and designers to achieve the product vision.
Analyze data and conduct market research to identify trends and understand the competitive landscape to inform product development decisions.