Senior Product Manager, Workspaces (AI)

Location: Full-time, in-person in New York City, United States

Salary: $180K–$240K base salary, plus equity and bonus eligibility

Company

hirify.global is building an AI-native primary intelligence platform for enterprises, investment firms, and asset managers, automating expert research from study design and recruitment through AI-moderated interviews and insight synthesis.

What you will do

• Own Workspace strategy, outcomes, customer understanding, and outcome-oriented roadmap.
• Design collaborative workflows for enterprises, private equity firms, hedge funds, venture capital firms, and credit investment firms.
• Partner with design and engineering on research organization, navigation, search, sharing, and knowledge reuse.
• Turn AI capabilities and shared context into dependable research workflows with clear expectations for accuracy, transparency, and user control.
• Drive team activation, recurring collaboration, retention, and expansion through research, analytics, and experimentation.
• Work with design, engineering, data science, research, and marketing to ship, roll out, and iterate focused product improvements.

Requirements

• At least five years of relevant product management experience, including meaningful ownership of a knowledge-intensive workspace, productivity tool, or collaborative workflow product.
• Experience leading product strategy through launch and adoption with measurable customer or business results.
• Experience designing collaborative experiences that help people contribute, coordinate, and build on shared knowledge.
• Demonstrated impact on activation, recurring team usage, retention, or expansion, with an understanding of invitations, sharing, collaboration, and product-led growth.
• Strong product judgment and experience simplifying sophisticated workflows, including information architecture, discovery, reuse, prototyping, and acceptance criteria.
• Sound judgment about AI capabilities and limitations, with hands-on use of AI tools for research, prototyping, data analysis, or software development.
• Fluency in product analytics and experimentation, commercial judgment, clear recommendations under incomplete information, and willingness to update decisions as evidence changes.
• Ability to work effectively with engineers on technical constraints and tradeoffs, communicate clearly, handle disagreement directly, and turn ambiguity into focused priorities.

Nice to have

• Experience scaling products recognized for exceptional craft, collaborative workflows, and strong product-led growth.
• Experience shipping AI-native collaboration or knowledge products involving people and AI agents.
• Technical fluency in APIs, data systems, integrations, permissions, or AI evaluation.
• Experience with financial research, investment workflows, or products built on a small, early-stage team.

Culture & Benefits

• Full-time, in-person work in New York City with a small, early-stage team.
• High standards, fast decisions, frequent releases, and short feedback loops.
• High ownership and autonomy in a builder-oriented environment.
• Health coverage, flexible PTO, and paid holidays.
• Meaningful early-stage equity grant tied to company growth.