
Senior Product Manager (Data)
Forge
Job description
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The Senior Product Manager, Data owns the development and improvement of Forge’s data products, including pricing, indices, derived data, reference data, and data distribution
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This role is accountable for delivering accurate, reliable, and valuable products, working closely with engineering, data research, and data operations to turn customer and business needs into shipped solutions
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Own the roadmap, backlog, requirements, priorities, and success measures for one or more Forge data products
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Define and deliver data products that are accurate, reliable, usable, and relevant to customer and business needs
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Own data distribution through APIs and file-based feeds, including production monitoring, alerting, SLA performance, and coordination of issue resolution
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Partner with engineering, data research, and data operations across discovery, development, launch, and iteration
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Align internal stakeholders on priorities, dependencies, tradeoffs, risks, and outcomes
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Gather input from clients and external partners, when appropriate, and translate it into actionable product requirements
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Metrics for Success:
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Products meet defined accuracy, quality, and reliability targets, including distribution SLAs
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Roadmap delivers measurable customer and business value
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Internal — and, where relevant, external — stakeholders trust the product direction and communication
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Scope / Impact Examples:
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Ownership spans one or more Forge Data product areas (e.g., pricing, indices, derived data, reference data, distribution)
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Coordinates cross-team initiatives with dependencies across engineering, data research, and data operations
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Represents Forge Data in internal planning forums and selected client or partner conversations
Benefits
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Health and wellness: Medical, dental, and vision are available to all employees.
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Smart savings: 401k plan, life insurance, HSA and FSA, and pre-tax mass transit and parking benefits.
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Ownership: Equity is offered to all qualifying employees.
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Life balance: New parent leave and generous time off.
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We grow with you : We encourage and support your growth through education, training, and mentorship.
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Relationship building: Team lunches, employee interest groups, and company celebrations.
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Community and culture: Employee-led resource groups, volunteering, and community service.
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Rewards and recognition: Continuous recognition of our employees’ milestones, wins, and hard work.
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Food and snacks: Healthy snacks, drinks, and weekly lunches when in the office.- Product Execution: Converts business and customer problems into clear requirements and delivered solutions
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Data Product Management: Understands how data is sourced, transformed, validated, distributed, and used; sets standards for accuracy, timeliness, and transparency
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Financial Data Fluency: Understands financial market data products and the needs of institutional data users
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Stakeholder Alignment: Builds trust and drives alignment across product, engineering, data, and commercial teams without direct authority
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Product Experience: You’ve managed financial data products through a complete life cycle for at least 5 to 8 years