Own and deliver medium-complexity features end-to-end (discovery → delivery → launch) in 1–3 month cycles
Define hypotheses, validate them using customer feedback and business/product data
Create and maintain a prioritized backlog (1–3 months horizon), aligned with engineering capacity and constraints
Write clear specs / exploration docs that engineering can build from, with success criteria and risks
Execute on technical/data-heavy initiatives requiring cross-functional coordination
Define success metrics and track feature performance post-launch
Analyze product data to identify optimization opportunities and guide iterations
Use SQL to query databases and extract insights for decision-making
Partner with Engineering to scope technical feasibility, manage constraints, and ship
Collaborate with other PMs to ensure coherence across the product
Build strong relationships with Ops , Data , and Revenue
Communicate clearly across technical and non-technical stakeholders
Execute AI/ML product experiments with guidance from senior team members
Requirements
3+ years experience as a Product Manager in B2B SaaS
Highly data-driven: perform ongoing data analysis to size problems, define/track success, and ensure alignment with KPIs & OKRs
SQL: comfortable pulling insights directly from the database (using SQL queries)
Data empathy: able to deeply understand data , leverage it to innovate, and translate data constraints/quality into product decisions
Experience executing a roadmap and leading initiatives with autonomy (1–3 month cycles, end-to-end)
Excellent communication and stakeholder management
Proficiency in using product management tools (e.g., Productboard, Jira, Notion, Figma, Metabase, Looker) for backlog prioritization and data analysis.
Customer-oriented + business-minded : you can connect product decisions to impact for users and for Trustpair
Problem-solver : able to structure and deliver ambiguous projects with a high ownership mindset
Driven to understand how CFOs, Treasurers, and Procurement teams work, and how technology can help reduce risk of fraud
Demonstrated ability to leverage AI technologies to drive significant impact
Fluent in English
Tech Stack
SQL
Benefits
A product with strong product–market fit , very low churn and global ambition
Real ownership with room to propose initiatives and shape the roadmap
A discovery + experimentation culture focused on measurable customer value
At Trustpair, we see AI as a tool to save time, sharpen focus, and boost impact
whether you're already hands-on with AI or eager to learn, you’ll join a team that values and encourages AI-driven ways of working
A collaborative environment with a flat structure, where everyone’s voice is heard
Flexible remote policy
A talented team with senior colleagues you can learn and work with
Inclusive environment with cultural diversity and parity