Note: The job is a remote job and is open to candidates in USA. TradeStation is an online brokerage firm focused on delivering an exceptional trading experience for active traders and institutions. They are seeking an AI-native Product Manager for their Active Trader Product team, who will drive the customer experience and manage product specs using AI tools to enhance efficiency in product development.
Responsibilities
- Write high-quality, machine-readable product specs using the TradeStation GitHub Spec Kit workflow (∕speckit.specify, ∕speckit.plan, ∕speckit.tasks) that agents can execute with minimal back-and-forth
- Generate BRDs, epics, and engineering-ready stories in hours using Claude and our internal pm-spec skills, not days
- Own the spec queue for your product area; maintain a pipeline deep enough that engineering agents are never starved for context
- Iterate on specs with AI agents rather than waiting for long sprint cycles — targeting 2–5 day feature cycles from intent to working prototype
- Use Cowork for desktop automation and Claude Code for direct agentic workflows, including prototyping and spec validation
- Manage the product roadmap for the Active Trader segment across TITAN X, HUB, and Mobile, with particular focus on complex options strategies, futures, and derivatives tooling
- Conduct customer discovery with VIP active traders and translate insights directly into spec-ready briefs — using AI to synthesize research, identify patterns, and prioritize with data
- Partner with design and engineering to ship features that deliver measurable improvements in trade volume, post-trade visibility, and retention of high-value active traders
- Use Claude to build and own self success measurement dashboards by leveraging internal MCP connections – monitor KPIs autonomously, surface signals early, and act without waiting for reports
- Contribute to TradeStation’s AI-First operating model by actively participating in spec review sessions, sharing workflows and learnings with the PM team, and help establish best practices for agentic product development
- Evaluate industry and competitive developments in FinTech, AI tooling, and the active trader space — proactively flag shifts that affect the roadmap
- Manage product launches with tight coordination between engineering, marketing, and CX; ensure documentation and communications are generated efficiently using AI tooling
Skills
- Bachelor's degree in business, finance, or related field
- 5+ years of experience in product management, with a focus on active trader in the financial services industry
- Demonstrated daily use of Claude, Claude Code, or equivalent LLM-based agentic tools in a professional context — not just familiarity, but active usage as a core workflow
- Ability to write precise, structured product specs that minimize ambiguity and serve as the primary artifact for engineering execution (replacing traditional user stories + lengthy PRDs)
- Experience with or willingness to rapidly master: GitHub Spec Kit (∕specify, ∕plan, ∕tasks), Claude Code (terminal-based agentic coding), and Cowork (desktop automation)
- Comfort with prompt engineering, context construction, and iterating on AI outputs — you know the difference between garbage-in/garbage-out and a well-structured brief
- Ability to review AI-generated code at a high level for quality and spec fidelity, even without writing it yourself
- Strong command of PM fundamentals: discovery, prioritization, road mapping, KPI definition, stakeholder communication, and go-to-market
- Track record of shipping software features in an agile environment with measurable business impact
- Ability to build self-service analytics dashboards (Amplitude, Databricks, or equivalent) — data fluency is expected, not optional
- Experience working directly with engineering teams and understanding technical trade-offs — you can have a meaningful conversation about API design, latency, and data models
- Working knowledge of active trading, with meaningful understanding of multi-leg options strategies, equity derivatives, and/or futures — enough to write accurate specs without needing a SME for every requirement
- Familiarity with broker-dealer platform conventions, order entry UX, and post-trade analytics
- Appreciation for what 'VIP-level' active trader UX looks like and what separates professional-grade tools from consumer-grade experiences
- A demonstrated growth orientation toward AI: you have proactively invested in building AI fluency and you treat it as a multiplier, not a novelty
- Highly organized with the ability to own multiple spec tracks simultaneously without losing precision
- Strong written communication — your clarity on paper directly determines what gets built
- Demonstrable proficiency with Claude or equivalent AI tooling in a professional product management or development workflow
- Experience writing detailed product specifications that have been used directly as engineering inputs
- Hands-on experience with Claude Code, GitHub Spec Kit, or Cowork preferrable
- Personal trading experience in options or futures — actual market participation creates intuition that is hard to teach preferrable
- Experience in a spec-driven or agentic development environment, where AI agents execute against PM-authored specifications preferrable
- Familiarity with Amplitude, Databricks, or similar analytics platforms for self-service product measurement preferrable
- Currently holding (or previously held) series 4, 7, 63, and 24 licenses
Benefits
- Collaborative work environment
- Competitive Salaries
- Yearly bonus and generous 401k plan
- Comprehensive benefits for you and your family starting Day 1
- Unlimited Paid Time Off
- Flexible working environment
- TradeStation Account employee benefits, as well as full access to trading education materials
Company Overview
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