Primer on cord

Primer

Senior Associate, GTM Data & AI

External position
Remote in UK
Hiring internally for Primer?
FinTech · Engineering · Finance
Unified Payment Infrastructure
Active
over 6 months ago
Posted
5 days ago
Checked
cord regularly checks that external positions are still open
12 hours ago

Skills & Experience

Job roles: Data/Insight Analyst
Experience level: Senior
Core skills considered: Artificial Intelligence, Data Analysis, Data Modeling, Data Pipelines, SQL
Other skills considered: APIs, Python, Business Analysis, Data Warehousing, Data Visualisation

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Remote
Work from: Within United Kingdom
Visa sponsorship: Not available

Job Description

Own Primer's GTM intelligence layer. Maintain and continuously improve the dashboards and data models at the core of how our GTM teams operate and make decisions. You'll identify gaps, build new views, and ensure the data our teams rely on is accurate, trusted, and acted upon - not just looked at.

Keep the AI in our BI sharp. Continuously train and improve our BI tool's (Omni) AI model so that natural-language queries, whether through Omni directly or via Claude, return accurate, contextually aware results. You are the steward of how well our BI tool thinks.

Partner with data engineering to optimise performance, and build what's missing. Own and maintain the semantic data layer and transformation logic so that dashboards are fast, consistent, and built on a foundation that scales. Identify where missing data sources are limiting GTM intelligence and work with the data engineering team to build the pipelines that close those gaps. You understand the data landscape end-to-end and can make a clear case for what needs to be optimised or built.

Surface pipeline and account intelligence. Build models and dashboards that go beyond historical reporting - surfacing engagement signals, account health indicators, and expansion opportunities that help GTM reps prioritise the right actions at the right time. Partner with data engineering and product ops to embed analytic events across Primer's web and dashboard environments, capturing user and intent signals that bring a new layer of behavioural intelligence into GTM.

Model Salesforce data correctly. Ensure CRM data is well-structured, correctly modelled, and fully leveraged in reporting. Work with RevOps and GTM leadership to make sure what lives in Salesforce is trusted, clean, and meaningful, so that any reporting built on top of it actually reflects reality.

Build models that drive revenue decisions. Partner with RevOps to develop data models that calculate potential ROI for prospects evaluating Primer products, and build the forecasting infrastructure that improves the accuracy of payment volume and revenue projections.

Own the GTM data foundation. Define and maintain field definitions, naming conventions, and data quality standards across the GTM tech stack. Good AI starts with good data, and good data starts with clear governance.

Build the AI context layer for GTM. Create and maintain the shared knowledge infrastructure that gives AI tools, including Claude, the right context to produce high-quality outputs. You'll build and curate the GTM knowledge base that sits behind our AI.

Build GTM AI workflows, with Claude at the core. Work with GTM stakeholders, and Primer's AI Strategy & Enablement Lead to spot processes where in-house AI workflows, skills and artifacts unlock real self-serve value. Build the more complex workflows hands-on, and upskill others to build the simpler ones themselves. Since Claude is central to AI at Primer, this includes enabling connectors to key business tools and building the skills that make Claude genuinely useful in a GTM role.

Own adoption and impact, not just the build. Shipping something is the start, not the finish. You own the rollout until it sticks, partnering with GTM Enablement on training and documentation so it lands inside existing enablement programmes rather than as a one-off. Collect feedback, iterate, and track and report on GTM AI use cases and their measurable impact.

Promote self-serve data literacy. Coach GTM stakeholders to explore data autonomously. Build the education and support that turns Omni from something people request help with into something they reach for themselves.

Stay ahead of the AI landscape. Proactively assess new AI tools and new features in Primer's existing tech stack. Make clear recommendations on what to adopt, pilot, or ignore. Ensure we're extracting full value from what we already pay for.


What we'd love to see

  • Solid data and analytics foundation. 3-5 years of experience in a data analytics, BI, or revenue operations role. You're comfortable working with complex datasets, building dashboards, and communicating what the numbers mean - without needing someone else to pull the data for you.
  • SQL proficiency. You write SQL fluently. Joins, window functions, aggregations - you can interrogate a data warehouse directly and know how to model data correctly, not just query it.
  • Hands-on AI experience. You use AI tools in your daily work, have built workflows or automations using LLMs, and understand enough about how they work to make them reliably useful rather than impressively unreliable.
  • Strong understanding of APIs and MCPs. You know how to retrieve data from APIs, trigger actions via them, and think in terms of integrations. You don't need to be a software engineer, but you're comfortable operating at the boundary between data and tooling.
  • CRM data experience. You understand how Salesforce (or similar CRM) data is structured, where it tends to go wrong, and how to model it for reliable reporting and AI consumption.
  • Clear communicator with a coaching instinct. You can explain data and AI concepts to non-technical stakeholders clearly, and you care about building their capability - not just doing it for them.
  • High autonomy in ambiguous environments. You don't wait for the problem to be fully defined. You identify the opportunity, make a case for it, and go build it.

Nice to have

  • Payments or fintech experience. Familiarity with the metrics, data models, and commercial dynamics of a payments or B2B SaaS business.
  • Experience with dbt, Snowflake or similar data tooling. You've worked alongside or within data engineering pipelines and understand how data gets from source to warehouse.
  • Python or scripting proficiency. Useful for data manipulation, automation, and building lightweight AI tools beyond what SQL alone can handle.
  • Omni or comparable BI tool experience. You've worked with a modern BI tool and understand how to get the best out of its AI layer.
  • Prompt engineering practice. You have a structured approach to prompt design and can teach others how to improve the quality of their AI interactions.

Company Benefits

  • 100% remote working in select UK & Europe locations
  • Equity
  • Unlimited holiday
  • Medical insurance
  • Private Pension
  • Unlimited L&D budget
  • Co-working space access
  • Team socials - quarterly workations, annual company retreats and virtual events
  • £500 towards your home office setup
  • Location-specific benefits - pension, 401k, health insurance etc.
Senior Associate, GTM Data & AI at Primer
Position posted 5 days ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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