
9fin · London
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 mi...
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.
About the role
We're building the data platform that powers both our internal analytics and, increasingly, our customer-facing data products —
screeners, embedded analytics, and data feeds/sharing. This role owns the movement, storage, and productisation of data end to
end: from ingesting high-volume operational data out of our Product Engineering services into the lake, to serving it back to
customers under a production SLA.
This is a platform and product leadership role, not an analytics or BI modelling role. Our Analytics team already owns dbt, the
semantic layer, and internal BI — you partner with them and consume their definitions; you don't rebuild what they own.
What you'll own
file transfer), landing data from Product Engineering services into the lake
people data) off the customer edge
What we're looking for
data-sharing product — not only an internal warehouse
file-based feeds, schema evolution, backfills
not just dimensional modelling
engineering that comes with scale
How you'll work
Peer to the Head of Analytics — you own platform and external data products; they own meaning and internal BI. You consume their
semantic layer as a contract, and neither team duplicates the other.
Partner with Product Engineering (our Core and Market Vertical domain teams) as your data producers — defining versioned data
contracts and a paved-road ingestion path rather than tapping their raw tables.
Our benefits
We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We
also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
Financial & Insurance
Time off
Training & Culture
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.
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. WHY THIS ROLE EXISTS The API motion is fundamentally different to the platform motion. APIs and Private 9fin require credibility with CTOs, CIOs, Quant Desks, Data, Research, Compliance and Technology Leaders. With the launch of these two new institutional products, we want to create a function to support technical validation to ensure that we launch and scale quickly. This added complexity in how we sell also demands stronger sales enablement and a more robust go-to-market layer. This role is the single point of accountability for all three: improving the API motion, sharpening our Private 9fin product motion, and unlocking enterprise-scale deals where the customer relationship spans both front office workflows and back end system of record integration. In the first six months you will operate as a player/coach, personally leading discovery, technical validation and solution design on the first 10–20 API opportunities. You will help our sales leaders re-develop a best in class onboarding experience for our prospective and current clients across our new products. From month six, as pipeline scales, you will build and coach the API Product Specialist team in the US and EU, and shape the dedicated onboarding function for scalability. This role will partner directly with our newly created Customer Partnerships role - something we haven’t announced publicly yet, but interviewees will get to find out how. WHAT YOU’LL OWN This is a build role. 9fin’s platform business is category defining; our Data Feed Products are a new revenue line, and the Head of Pre-Sales owns the technical sales motion behind them. What the function becomes, how it sells, who it hires, the standards it operates to is yours to design. You will start as a player-coach. You define what a high quality API deal looks like at 9fin: how we qualify, how we run technical validation, how we navigate procurement, how we land and expand. You will be evaluated on how many of those deals you close and how quickly we can repeat the motion without you in the room. As pipeline converts, you move from IC to leader. You hire the Product Specialists who will carry the motion in the US and EU, bring on a dedicated Sales Enablement Manager to industrialise what you’ve built, and shape the Private 9fin onboarding function. You own the operating cadence of the pre-sales org and you are the person Sales leadership trusts to call deal risk early. This is where your playbook becomes the team’s playbook. WHAT YOU’LL DO * Partner with EMEA and US Sales as the technical owner on every Data Feed Products opportunity, from first technical conversation to signed contract and go-live handover. * Run technical discovery with CTOs, Heads of Data, Quants and Engineering Leaders. Map the buyer’s stack, data flows, latency tolerance, licensing model and integration constraints. * Design and run technical validation – sandbox access, sample pulls, notebook walkthroughs, PoC plans and integration timelines and create a scalable process to close validation in weeks, not months. * Facilitate architecture conversations across the technical stack we sell into: REST, streaming (WebSocket, Kafka), bulk file (S3, SFTP), Snowflake / data share, AWS PrivateLink, authentication(OAuth2, mTLS, API keys), rate limits, schema versioning, entitlements. * Share ownership of the InfoSec, procurement and vendor onboarding work stream and pre-empt the questions Tier 1 buyers will ask. * Codify the technical validation playbook; use case library, reference architectures, sample notebooks, RFI/RFP response templates, objection handling – so the motion is scalable and repeatable. * Hire, onboard and coach the founding Product Specialist team (US and EU), the Sales Enablement Manager and Client Onboarding & Implementation Managers. Set the bar for what good looks like. * Run the closed loop with Product and Engineering. Field objections, schema gaps and integration friction land with the roadmap clearly enough that the next release closes them. * Define and own the operating cadence – deal desk, win/loss review, pipeline coverage, ICP refresh – feeding into the sales leadership. WHO YOU ARE MUST-HAVES * 10+ years in technical sales, with at least 3+ years leading or building a pre-sales, solutions engineering or technical account team selling to financial institutions. * Shipped revenue against an API or data product sold into banks and/or buy-side firms. You have personally closed deals where the buyer was a CTO, head of data, quant lead or technology leader. * Have run vendor selection procurement processes end-to-end at Tier 1 banks and/or large buy-side firms. * Credible in a room with buy-side and sell-side. You don’t need a crash course on what the buyer does. * Player coach instinct. Comfortable owning live deals personally in month one and coaching a team against your own playbook in month nine. * Data-driven operator – you run your function on win/loss, cycle time and ICP evidence rather than anecdote. STRONGLY PREFERRED * Experience at a modern capital markets technology or financial data vendor for selling data products into capital markets. * Built a pre-sales function from scratch in a growth-stage company rather than inherited one at scale. * Familiarity with the credit asset class – leveraged finance, high-yield, private credit, distressed, and the data pain points those teams have. * Fluent in how data and quant teams actually consume APIs today. Parquet, DuckDB, Polars, Snowflake shares, not just pandas in a Jupyter notebook. You can rip through a notebook live on a call. * Exposure to MEDDPICC / MEDDICC. NICE TO HAVE * Prior IC background in a technical sales or product role before moving into pre-sales. * Deep fluency in the technical architecture of financial data delivery: REST, streaming (WebSocket, Kafka), bulk file (S3, SFTP), Snowflake / data share, private cloud delivery (AWS PrivateLink). You can whiteboard an integration with a quant team without reaching for an engineer * Experience running dual-attribution comp models across Sales and specialist pre-sales teams without creating friction. OUR BENEFITS We’re a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance * Competitive salary benchmarked at 75-90th% of market * Pension (your minimum contributions are 4% with 9fin matching up to 7%) * Private Medical Insurance * Paid sick leave with Income Protection for long periods of illness * Group Life Assurance * Season Ticket Loan & Cycle to Work schemes Time off * 25 holiday days per year * Local public holidays (with the ability to exchange them for alternative days) * Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work * Work abroad for up to 3 months a year * 1 month paid sabbatical after 5 years of service * Enhanced parental leave & flexible working arrangements available Training & Culture * Professional learning and development budget * AI experimentation budget of £800 (UK) per employee to trial AI tools * Quarterly team socials * Summer and Winter company 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.
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.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. "The front page of the internet,” Reddit brings over 500 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy. Reddit is looking for an Ads Measurement Lead in London to help our advertising partners succeed on our platform. This role will be an integral part of the Marketing Sciences team, and overall Marketing organization – driving our value proposition to agencies and brands by demonstrating the power and performance of Reddit as a media platform. In short, we’re looking for a measurement lead with a marketers mindset. This Lead will be a key partner to our sales team, fusing best practices, industry knowledge, and critical thinking in order to help clients achieve their brand and performance goals on Reddit. This role will be focused on supporting the Sales team to help grow full funnel revenue through measurement, partnerships and signals excellence. As Reddit is a rapidly growing company, your primary responsibilities will evolve over time and there is a significant opportunity to drive impact within Reddit and support your own career growth. This role reports directly to the Head of Measurement, EMEA. Responsibilities: * Daily responsibilities will span across advertising measurement, performance optimizations, vendor development, advertising strategy, teaching and supporting our sales team, and research. * Measurement knowledge including attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion and mobile tracking, 1st and 3rd party insights storytelling, and custom research. * Collaborate closely with Client Account Managers to gain a deep understanding of clients’ campaign setups, measurement stack and performance goals, as well as collaborate closely with Product & PMM. * Translate global best practices into EMEA context, creating playbooks and best practices for EMEA specific campaigns. * Translate data insights into actionable recommendations with clear justifications and expected outcomes, maintaining regular communication of vertical updates and optimization suggestions to our team. * Leverage measurement results to drive sales impact - developing benchmarks, case studies, media & creative best practices, and refinement/optimization to our audience and targeting strategy to improve efficiency and effectiveness. * Partner with Sales, Marketing, and Brand Strategy to develop compelling storylines that highlight opportunities for Reddit advertisers and our competitive advantage. Join key client meetings as a subject matter expert to provide technical guidance and objection handling. * Develop and support our go-to-market teams in EMEA with your measurement expertise, industry knowledge, and insights specific to market nuances. * Support the execution of innovative primary research that amplifies our narrative and value proposition to advertisers, and the development of insights products that position Reddit as a curator of business-critical learnings to advertisers. * The ideal candidate is someone who possesses the ability to collaborate effectively, identify & understand issues, and work effectively to create long-term solutions. Required Qualifications: * A data-driven storyteller that’s passionate about measurement to inspire and drive action. * 5+ years in ad research or ad tech – at a research vendor, media owner, client or agency partner. * You are familiar with the ad measurement landscape and the primary vendors, products, and services that advertisers use to measure performance & brand - and how it all works from a technical perspective. * A knowledge of experimentation and familiarity with the underlying statistical methods * Expertise in these three areas of measurement across verticals: * Reach: impressions, viewability, on-target percentage, brand safety, etc. * Resonance: brand awareness, consideration, intent, etc. * Reaction: attribution, conversion, sales lift, tune-in, foot traffic, etc. * Experience optimizing toward DR focused KPIs, as well as knowledge of holistic media planning to support brand awareness and performance campaigns in tandem * Experienced in executing incrementality testing, developing test+learn agendas and working with engineering + product teams on advanced measurement cases. * You have a strong background in the execution, analysis, and presentation of quantitative advertising research. * Proven ability to weave primary research, 1st party platform data, and 3rd party/syndicated research together into a cohesive and compelling story of strategic importance. * Experience working with measurement vendors to bring new services and capabilities to life at a technology company. * Exceptional written and oral communication skills – you’re articulate and engaging * Motivated self-starter who thrives in unstructured environments on an evolving team * BA/BS degree Benefits: * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Group Personal Pension Scheme with Employer match * Private Medical and Dental Scheme * Income Replacement Programs * Bike to Work scheme * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.