Remote Product Manager, AI
Remote Product Manager, AI
Posted 42 days ago
SENIORITY
Lead
About the role
- MCPs (Model Context Platforms)AI agents for research and analysis
- Investor-facing portal experiences
- Data feeds and programmatic access
- Own AI product strategy for investor workflows: Define how AI transforms the way public market investors consume, analyze, and act on data.
- Build AI-native products, not just features: Design end-to-end experiences across agents, copilots, and structured outputs, not just UI layers on top of models.
- Translate frontier AI into real-world utility: Evaluate and integrate LLMs, retrieval systems, and agent architectures into production-grade products.
- Work directly with customers: Partner with hedge funds and asset managers to deeply understand workflows, pain points, and trust requirements.
- Drive rapid experimentation and iteration: Run tight feedback loops across prompts, evals, and product UX to continuously improve performance and usefulness.
- Collaborate across disciplines: Work closely with engineering, data, research, and design to ship high-quality, high-impact products, while communicating clearly with both technical and non-technical partners.
- Define quality, reliability, and trust: Establish evaluation frameworks for AI outputs, ensuring accuracy, consistency, and investor-grade reliability.
- Shape the future of the platform: Contribute to how MCPs, agents, and APIs evolve into a unified, reliable, and safe AI product ecosystem.
- Qualifications & Skills 4-6+ years of product management or similar experience.
- Experience building AI copilots, agents, or internal AI tools
- Familiarity with how AI/ML models and AI agents are built and maintained.
- Strong product instincts with a track record of building 0→1 or ambiguous products
- Strong user research and customer discovery skills with deep curiosity about AI systems (LLMs, agents, retrieval, evals)
- Generalist knowledge of both engineering and design.
- Able to design and evaluate prompts, contexts, and model behaviors.
- Analytical thinker, comfortable with data and experimentation.
- Great communicator and collaborator.
- High ownership mindset with a bias toward action and learning
- Familiarity with financial markets or investor workflows
- Experience with data platforms, APIs, or developer-facing products
- Background in analytics, research, or quantitative environments
- Our compensation package includes comprehensive benefits, perks, a competitive salary, and equity:
- The annual base salary for this position is anticipated to be $140,000 - $150,000, with a 10% performance bonus, and equity.
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
