Product Manager
New
A
Arcesium LLCFinancial Technology
Remote eligible states include: NY, NJ, MA, IL, FL, PA, CT, NC, GAFull-TimeMiddle
Salary240,000 - 290,000 USD per year
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Job Details
- Experience
- 3–6 years
- Required Skills
- SQLProduct ManagementRESTful APIsPrototypingSaaSGenerative AI
Requirements
- 3–6 years of product management experience, preferably within SaaS platforms serving asset managers or related financial services sectors.
- Bachelor’s degree in accounting, finance, engineering, computer science, or a related field preferred.
- Experience building or supporting financial technology products.
- Foundational domain knowledge in hedge funds, private credit, private equity, institutional asset management, or related sectors.
- Hands-on experience with investment accounting (IBOR or ABOR preferred).
- Demonstrated experience across the product lifecycle, including requirements analysis, planning, delivery support, and post-release feedback.
- Hands-on experience using generative AI tools to build functional prototypes or proof-of-concepts.
- Comfort with lightweight scripting, SQL, APIs, or no-code/low-code tools to independently prototype workflows and validate ideas.
Responsibilities
- Support the execution of the UBOR product roadmap, ensuring alignment between strategic priorities, client needs, and delivery timelines.
- Translate product vision into detailed requirements and specifications, working with stakeholders to gather inputs and communicate direction.
- Balance customer requests with longer-term product objectives.
- Partner with Engineering, QA, and Subject Matter Experts to translate specifications into effective design and delivery.
- Collaborate with Sales and Marketing to ensure product capabilities are clearly positioned and communicated.
- Represent UBOR in client meetings as appropriate to present roadmap updates, collect feedback, and ensure alignment.
- Contribute to business case development for product enhancements and R&D investments.
- Rapidly prototype workflows, user experiences, reporting logic, or automation concepts using AI-assisted coding and modern development tools.
- Validate product ideas through lightweight prototypes or proof-of-concepts before committing full engineering resources.
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