At a Glance
- Tasks: Lead product strategy for innovative data APIs and enhance user experience.
- Company: Join a cutting-edge AI platform transforming global debt markets.
- Benefits: Enjoy competitive salary, hybrid work, and generous holiday allowance.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in a fast-growing company with global reach.
- Qualifications: 5+ years in product management with API and data platform experience.
The predicted salary is between 75600 - 92400 £ per year.
About the company: The company is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. The company replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, the company powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We’re at a defining inflection point. With proven product-market fit and strong, global market pull, the company is accelerating toward becoming the category-defining platform for debt markets worldwide.
What You'll Do:
- Product Strategy & Execution: Define the product vision and strategy for the company's external data distribution: APIs, data shares, and future delivery mechanisms (cloud sync, pub/sub). Own the data catalogue decisions: which datasets to expose, in what format, through which channels, and in what order, balancing client demand, data readiness, and commercial potential. Design the developer experience end-to-end: API design, documentation, developer portal, sandbox/playground, error handling, rate limiting, and versioning. Work with analytics engineering and domain teams to define schemas, data models, and transformation logic that make the company's data consumable and valuable outside the application. Use a partner model to validate early: select and work closely with 1-2 clients during development to co-develop and prove out each data product before broader launch. Shape the commercial model for API products: packaging, tiering, usage-based pricing, distribution controls, and entitlement structures that capture the value of programmatic data access.
- Data Quality, Infrastructure & Compliance: Partner with the Head of Analytics to ensure data products meet the reliability, freshness, and accuracy standards that enterprise clients building automated systems expect. Define SLAs for data delivery (latency, uptime, completeness) and build the monitoring and metering infrastructure to back them up. Own the entitlements and access control layer: ensuring the right clients can access the right data under the right contractual terms, with appropriate usage limits and controls. Work with Legal to define data usage policies, including restrictions on redistribution, AI training and model embedding, and onward use, protecting the company's data IP while enabling legitimate client workflows. Establish feedback loops between API consumers and domain teams so that usage patterns and client requests improve the underlying data over time.
- Cross-Functional Leadership & GTM: Coordinate across platform engineering, analytics engineering, domain squads, and the Head of Analytics to align priorities and ship a cohesive product without a dedicated squad. Influence teams you do not manage; build relationships that make cross-functional delivery work despite competing priorities. Support the shift to a solution-selling GTM motion: work with Sales and Customer Success on partner selection, POC design, technical onboarding, and commercial structuring for API deals. Engage directly with enterprise clients and their technical teams during pilots and integrations; this is a client-facing role, not a back-office one. Communicate strategy, progress, and trade-offs transparently to leadership, engineering, and commercial teams. Translate technical API and data infrastructure concepts into language that non-technical stakeholders (Sales, Legal, Finance) can act on.
What We're Looking For:
- 5+ years of product management experience, with at least 2 years building API products, data platforms, or data distribution products at a B2B company.
- Experience designing APIs for external consumers: you have opinions on schema design, versioning strategies, rate limiting, and what makes developer documentation actually useful.
- Track record of shipping data products where you managed the full lifecycle: from defining what data to expose, through schema design, to commercial packaging and client onboarding.
- Understanding of data infrastructure concepts: data pipelines, warehouses, ETL/ELT, data modelling, and platforms like Snowflake.
- Comfortable with SQL and Python and capable of interrogating data to validate quality, understand usage patterns, and inform product decisions.
- Experience working in a solution-selling or partner-led GTM model: you have been involved in POCs, pilots, or co-development with enterprise clients, not just self-serve product launches.
- Proven ability to lead cross-functionally without a dedicated team: you coordinate across engineering, data, and commercial functions through influence, not authority.
- Strong commercial instinct: you understand how enterprise data buyers evaluate providers, and you can shape a product that competes on data quality, coverage, and ease of integration.
- Clear communicator who can translate between technical and commercial audiences.
Nice to Have:
- Familiarity with credit markets, debt instruments, or how buy-side/sell-side firms consume financial data.
- Experience with Snowflake data sharing, marketplace listings, or similar cloud data distribution mechanisms.
- Experience building entitlements, licensing, or access control systems for data products.
- Understanding of data licensing, redistribution terms, or AI usage policies in the context of enterprise data products.
Benefits:
- Pension with 7% company matching.
- Private medical insurance, paid sick leave, income protection, group life assurance.
- Season ticket and cycle-to-work schemes.
- Hybrid flexibility with up to 3 months annual work abroad.
- 25 holiday days plus local public holidays (exchangeable).
- One-month paid sabbatical after 5 years; enhanced parental leave.
- Professional development budget and regular social events.
The company is an equal opportunities employer. At the company, we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognise that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.
Senior Product Manager (Data API) in London employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager (Data API) in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like United States Digital Space LLC!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at United States Digital Space LLC would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at United States Digital Space LLC through your school's career services!
We think you need these skills to ace Senior Product Manager (Data API) in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Manager (Data API), let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Manager (Data API) position at United States Digital Space LLC. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at United States Digital Space LLC
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.