Senior Product Manager (Data APIs)

Posted 5 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Senior level
Fintech • Financial Services
The AI-native intelligence platform for modern credit teams.
The Role
Own the 0-to-1 strategy and execution for 9fin’s external data products, including APIs, data shares, and future cloud delivery mechanisms. Define data packaging, schemas, developer experience, pricing, entitlements, SLAs, and compliance policies. Partner with engineering, analytics, domain teams, Sales, Legal, and enterprise clients to validate products through pilots and launch a solution-selling, usage-based commercial model.
Summary Generated by Built In

About 9fin

9fin 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. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.

Today, 9fin 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, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.

The Opportunity
 

9fin has built one of the most comprehensive datasets in credit and debt markets: news, financials, cap tables, instrument data, legal documents, and ESG analysis. Today, most clients access that data through 9fin.com. But a large and growing segment of the market wants to consume our data programmatically to power firm-level workflows at scale: a negative news signal triggers an automated credit review, updated financials trigger a portfolio rebalance, a covenant keyword triggers a sanctions flag.

 

These buyers (quant desks, data engineering teams, systematic investors, risk and compliance functions) will never log into a web application. They need APIs, data feeds, and cloud-native delivery through platforms like Snowflake. At comparable financial data providers, this distribution channel represents 20-30% of total revenue. 9fin is at the beginning of this journey.

 

The challenge is to turn 9fin's integrated dataset into a portfolio of standalone data products with a coherent commercial strategy. You will define how the data gets packaged (what goes together, what stands alone, how it's tiered and priced), the order in which products go to market, and the commercial models that fit each buyer segment: quant desks, data engineering teams, risk and compliance functions, and systematic investors. You will work in lockstep with the Head of Pre-Sales, who owns technical validation and deal execution, to ensure that what you build maps to how these buyers actually evaluate and procure data. The first candidates pan news content, financials and cap tables, instrument data, and legal data (complex, high-value, and genuinely unsolved at the data representation layer).

 

You will work cross-functionally across our platform teams, analytics engineering, and the domain squads that own the underlying datasets. You will also work closely with Sales to support a fundamentally different GTM motion: solution-selling with partner clients, joint POCs, multi-stakeholder deals, and usage-based commercial models rather than seat-based subscriptions.

 

This is a 0-to-1 build. If you have built API or data products before and want to do it again in a market where the opportunity is wide open, this is it.

 
 
What You'll Do
 
Product Strategy & Execution
  • Define the product vision and strategy for 9fin'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 9fin'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 9fin'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
 
  • Competitive, market-benchmarked salary

  • 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

 

9fin is an equal opportunities employer

At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize 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.

Skills Required

  • 5+ years of product management experience
  • At least 2 years building API products, data platforms, or data distribution products at a B2B company
  • Experience designing APIs for external consumers, including schema design, versioning, rate limiting, and developer documentation
  • Track record of shipping data products from data exposure and schema design through commercial packaging and client onboarding
  • Understanding of data infrastructure concepts, including data pipelines, warehouses, ETL/ELT, and data modelling
  • Comfort with SQL and Python for validating data quality, analyzing usage patterns, and informing product decisions
  • Experience with solution-selling or partner-led go-to-market models, including POCs, pilots, or enterprise co-development
  • Ability to lead cross-functionally without a dedicated team through influence
  • Strong commercial understanding of enterprise data buyers and data quality, coverage, and integration considerations
  • Strong communication skills translating between technical and commercial audiences
  • Familiarity with credit markets, debt instruments, or buy-side and sell-side financial data consumption
  • Experience with Snowflake data sharing, marketplace listings, or similar cloud data distribution mechanisms
  • Experience building entitlements, licensing, or data access-control systems
  • Understanding of data licensing, redistribution terms, or AI usage policies for enterprise data products

9fin Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about 9fin and has not been reviewed or approved by 9fin.

  • Healthcare Strength Pay and benefits are presented as including comprehensive medical, dental, and vision coverage, with life, disability, and FSA/HSA options also listed. Built In’s profile additionally describes “100% coverage” for certain health categories, which signals a robust health offering pending plan-detail confirmation.
  • Leave & Time Off Breadth Time off is positioned as generous, including 25 PTO days plus public holidays, paid sick time, and a one-month paid sabbatical after five years. The package is also framed as including a work-from-anywhere allowance in some locations, strengthening the perceived total rewards beyond base pay.
  • Parental & Family Support Parental leave is described as enhanced, with 22 weeks at full pay for birthing parents and 12 weeks at full pay for non-birthing parents. These policies are repeatedly highlighted as a standout element of the overall benefits package.

9fin Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London, England
600 Employees
Year Founded: 2016

What We Do

9fin is the AI-native platform for credit markets. We’re building the data and AI infrastructure behind an essential part of the global economy, one that funds governments, businesses and infrastructure, and keeps capital flowing around the world. By bringing together proprietary data, market intelligence and AI, we give leading financial institutions a complete view of credit and the tools to reduce risk, move faster and make better decisions. More than 350 of the world’s leading credit teams use 9fin, including all of the top 10 investment banks, 80% of trading desks, and asset managers overseeing a combined $17 trillion in AUM. Backed by more than $250 million in funding and valued at $1.3 billion, 9fin is expanding globally, moving deeper across public and private markets, and putting AI into the hands of the world’s most sophisticated credit teams. We’re scaling fast, but we’re nowhere near done. This is the stage where you can genuinely shape what 9fin becomes. You’ll get real ownership, tackle problems that haven’t been solved before, and share in the value you help create. We’re building toward a single goal: becoming the #1 global provider of AI, data, and analytics for the debt capital markets — this decade! If you want to work on meaningful problems at real scale, there’s plenty to do here. We'd love for you to build with us.

Why Work With Us

We're a team with a variety of professional and personal backgrounds. This affords us the opportunity to see things from many different angles. With space to both think deeply but also act quickly, responsibility and flexibility are abundant in equal measures at 9fin.

Gallery

Gallery

Similar Jobs

Snap Inc. Logo Snap Inc.

Scientist

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
London, Greater London, England, GBR
5000 Employees

Hewlett Packard Enterprise Logo Hewlett Packard Enterprise

Distinguished Technologist – Pre-Sales AI & Data Center Networking

Artificial Intelligence • Cloud • Information Technology • Consulting
In-Office
Winnersh, Wokingham, England, GBR
85422 Employees

Hewlett Packard Enterprise Logo Hewlett Packard Enterprise

Technical Account Manager

Artificial Intelligence • Cloud • Information Technology • Consulting
In-Office or Remote
2 Locations
85422 Employees

ZS Logo ZS

Administrative Assistant

Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Hybrid
Cambridge, Cambridgeshire, England, GBR
15000 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account