Technical Product Manager

Own your future

Transcenda is a US-headquartered product development company with 280+ team members across the US, Europe, and LATAM. We partner with FORTUNE® 500 companies and high-growth startups to build software products from strategy and design through engineering and launch.

Our client is a talent acquisition software company focused on helping enterprise recruiting teams attract, engage, evaluate, schedule, and hire candidates more effectively. The platform is especially strong in campus recruiting, early-career hiring, recruitment events, candidate relationship management, interview scheduling, candidate engagement, and recruiting analytics. Company positions itself as a purpose-built recruiting CRM for campus and early-talent teams, used by large organizations to reduce manual recruiting work, improve candidate experience, and manage candidate pipelines from first contact through hiring decisions.

Must haves

• Product Management experience with customer-facing SaaS or enterprise software products.
• Strong technical product sense and ability to work closely with engineering.
• Hands-on use of AI tools for product work, especially prototyping, discovery, design, or codebase/product understanding.
• Ability to create quick prototypes or working concepts instead of only writing requirements.
• Experience working with ambiguous, early-stage, or experimental product initiatives.
• Ability to understand existing product workflows and identify where new functionality can be introduced.
• Experience translating customer/stakeholder feedback into product direction and priorities.

As a plus

• Background building AI-driven features or embedding LLM functionality into existing product workflows.
• Previous ownership of beta, alpha, early-access, customer lab, or product experimentation programs.
• Familiarity with enterprise SaaS platforms and complex customer workflows.
• Exposure to data-heavy products, reporting workflows, governance, risk, compliance, financial reporting, or sustainability reporting.
• Hands-on use of tools such as Figma Make, Claude Code, Codex, Cursor, Lovable, v0, Replit, or similar AI-assisted prototyping/development tools.

Key responsibilities

• Use AI-assisted tools to quickly create prototypes, product concepts, and workflow explorations.
• Understand existing product workflows and identify where experimental AI functionality can be introduced.
• Define how selected customers will access, test, and provide feedback on early product functionality.
• Partner closely with engineering to shape feasible, iterative product solutions.
• Translate customer and stakeholder feedback into clear product requirements and priorities.
• Support the rollout of pre-release or early-alpha features to customers willing to test experimental functionality.
• Work in a fast-moving environment where prototypes, feedback, and iteration are preferred over heavy upfront documentation.