Product Manager II, Trading, Data & Pricing
- Remote, United States
- Full-time
- Lead
- Posted 3 days ago
or apply from Claude / ChatGPT / Muse
Product role on a trading and data platform team, shaping data products and pricing for a fantasy sports site. Works closely with data science, engineering and game operations.
About the role
Joining a team of over 550 people, the role covers data products built on machine learning predictions and recommender outputs, plus pricing and revenue opportunities.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Lead
- Employment
- Full-time
- Skills
- Product management, Machine learning, Data analysis, Data visualization, APIs
- Posted
- 26 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Set vision, strategy and roadmap for data products such as recommender outputs and ML predictions
- Find and execute revenue opportunities in pricing and upsells within the trading and data segment
- Run the product lifecycle from ideation to launch with engineers and data scientists
What they look for
- 3 or more years in product management or a related field
- Experience with internal data engineering and data science teams and outside data providers
- Familiarity with near real time consumer facing machine learning in production
- Solid grasp of data analysis principles for product decisions
- A track record of shipping products that reached a large audience
Nice to have
- Experience with data teams that build sports projection models
- Familiarity with data visualization tools and APIs
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
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- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
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- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
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Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job ebllj4lo7dQuestions about this job
Can I do this job remotely, and from which countries?
The posting lists it as remote for people in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a lead role. The posting asks for: 3 or more years in product management or a related field; experience with internal data engineering and data science teams and outside data providers; familiarity with near real time consumer facing machine learning in production. Skills it names include Product management, Machine learning, Data analysis, Data visualization.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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