Product Manager – Sell-Side D2C (Dealer to Client) Fixed Income Trading
AI in this role
Our D2C platform provides mission critical trading through venue connectivity, RFQ workflow management, trading rule engines, and intuitive user interfaces. It enables dealers to efficiently price, negotiate, execute, and manage client trades while seamlessly integrating with Bloomberg and third-party trading ecosystems, including TOMS OMS.
The Role
We are looking for an experienced Product Manager to join our team to define and drive the strategy for Bloomberg's Sell-Side D2C fixed income trading platform.
This is a highly visible role with significant ownership. You will shape the future of Bloomberg's D2C trading capabilities while ensuring our existing client base continues to receive best-in-class solutions. Working closely with Engineering, Sales, Professional Services, Clients, and other TEMS product teams, you will translate market needs into innovative products that help dealers better serve their customers.
Success in this role requires a deep understanding of fixed income electronic trading, strong product management skills, and the ability to balance long-term product vision with day-to-day delivery.
We Will Trust You to
- Define and execute the product strategy and roadmap for Bloomberg's Sell-Side TEMS D2C trading platform.
- Partner with Engineering to scope, prioritize, and deliver high-quality solutions.
- Collaborate with other TEMS Product Managers to deliver seamless end-to-end trading workflows.
- Gather client feedback and market intelligence to identify opportunities and influence product direction.
- Translate business requirements into clear functional specifications, including workflow design and service level expectations.
- Drive product delivery from concept through release, balancing client needs, engineering effort, and strategic priorities.
- Present product strategy, business cases, and development progress to senior management.
- Represent Bloomberg with clients, prospects, venue partners, and industry participants.
- Work closely with Sales, Professional Services, and Client Support teams to ensure successful product adoption and client outcomes.
You Will Need to Have
- 5+ years of experience in Fixed Income Dealer-to-Client (D2C) electronic trading.*
- 2+ years of Product Management experience
- Strong knowledge of one or more fixed income asset classes, including Rates, Credit, Muni, or Derivatives.
- Experience defining and delivering software products throughout the full software development lifecycle.
- Strong analytical, communication, and stakeholder management skills.
- Ability to work effectively across Product, Engineering, Sales, and client-facing teams.
We Would Love to See
- Experience with fixed income electronic trading platforms, execution management systems (EMS), or order management systems (OMS).
- Deep understanding of the RFQ lifecycle and major electronic trading venue protocols and specifications.
- Knowledge of market structure, electronic trading workflows, and regulatory requirements affecting fixed income markets.
- Technical understanding of low-latency or high-performance distributed systems.
- Experience working directly with trading desks, dealers, or institutional fixed income clients.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
How we rate this
Product Manager – Sell-Side D2C (Dealer to Client) Fixed Income Trading at Bloomberg rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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