At a Glance
- Tasks: Collaborate with sales teams to enhance efficiency using AI and data-driven solutions.
- Company: Join Wayflyer, a fast-growing tech company revolutionising financing for SMBs.
- Benefits: Enjoy 25 days paid leave, private healthcare, equity options, and remote work flexibility.
- Other info: Work in a vibrant culture with opportunities for growth and collaboration across global teams.
- Why this job: Make a real impact by bridging AI technology and sales operations in a dynamic environment.
- Qualifications: Strong analytical skills, experience with AI tools, and a passion for problem-solving.
The predicted salary is between 50000 - 70000 £ per year.
Company Mission
Our mission is to give the world access to the best products by empowering great businesses to reach their growth potential.
About Wayflyer
Today's SMBs need a capital provider that keeps pace with their growth ambitions. Traditional financing options are slow, cumbersome and often out of reach. That’s why we built Wayflyer. Our unique technology allows us to assess businesses in minutes, generate financing offers that reflect their growth potential and send funds in as little as 24 hours. Since launching in April 2020, we’ve deployed over $5bn to thousands of businesses worldwide, backed by Tier 1 banks like J.P. Morgan. We’ve become a trusted financing partner for some amazing brands, like True Classic, Little Words Project and Kekoa Foods.
Culture & Values at Wayflyer
At Wayflyer, we value being sound people, excellent operators, and ambitious overachievers, working together with integrity, creativity, and bold optimism to deliver exceptional results.
Your Role at a Glance
This isn’t a desk job with dashboards. You’ll spend your time embedded with our sales team—sitting in on calls, joining pipeline reviews, and understanding how deals actually move. You’ll spot the friction, the repetition, and the missed opportunities that others walk past and then you’ll fix them using data feeds and AI. You’ll be the bridge between what AI can do and what our revenue team actually needs. You don’t need to be a machine learning engineer, but you do need to be deeply curious about AI tools, relentless about finding practical applications, and comfortable getting your hands dirty with data when needed.
Responsibilities
- Embed with sales, RevOps, and marketing teams to observe workflows first-hand – shadow users, watch, and map out where time is being wasted or decisions are being made on gut feel.
- Identify the highest-impact opportunities for AI to improve sales efficiency, conversion, forecasting, or rep productivity.
- Build and deploy AI-powered solutions using tools like Claude, automation platforms (Zapier, n8n, Pipedream), and lightweight Python/SQL where needed.
- Design AI-assisted workflows for things like lead scoring, call prep, deal summarisation, objection handling, pipeline hygiene, and rep coaching.
- Prototype fast, test with real users, iterate based on feedback – not months-long projects, but rapid experiments that ship in days.
- Measure the impact of everything you deploy – time saved, conversion improved, revenue influenced – and use that to prioritise what to build next.
- Stay on top of the rapidly evolving AI landscape and bring new ideas back to the team constantly.
- Work with RevOps and Sales leadership to embed successful solutions into standard workflows and systems (HubSpot, Snowflake, internal tools).
- Champion AI adoption across the revenue org – run demos, train reps, remove friction, and make sure tools actually get used.
What Makes You a Great Fit
You’re analytically strong – comfortable with SQL/Python, and spreadsheets – but you see data as a means to an end, not the end itself. You’ve used AI tools extensively in a professional context and have strong intuitions about what they’re good at and where they fall short. You’re a people person who can build trust with sales reps, managers, and leadership – not someone who just emails recommendations from a distance. You have experience in revenue analytics, sales operations, commercial analytics, or a similar function in a high-growth tech or SaaS environment. You understand modern GTM systems like HubSpot and how data flows across sales, marketing, finance, and customer success. You’re comfortable building lightweight automations and integrations – using APIs, automation platforms, or custom scripts. You’re a self-starter who thrives with ambiguity. You don’t wait for a brief – you go find the problem, then fix it. You think in systems but act with urgency. You care about doing things properly but ship fast.
Perks of Being at Wayflyer
- Time Off That Matters: Recharge with 25 days of paid annual leave, plus public holidays.
- Your Wellbeing: Access support and resources to support your wellbeing, including our Wellbeing @ Wayflyer ERG.
- Comprehensive Health & Protection: Stay covered with private healthcare, life insurance, and critical illness cover.
- Secure Your Future with Our Pension Plan: Our pension plan helps you build a strong foundation for tomorrow, starting today.
- Family-First Policies: We provide a generous parental and adoptive leave program for both primary and secondary caregivers, ensuring you have the dedicated, fully paid time you need to focus on your family.
- Share in Our Success: With our equity scheme, you’re not just an employee; you’re a stakeholder in our journey.
- Work From Abroad!: Enjoy the freedom to work remotely from anywhere in the world for up to 60 calendar days a year.
Global Offices and Working Policy
Dublin, Our Buzzing HQ: Our headquarters operates a hybrid model. The number of in-office days depends on your team, but the majority of teams and our SLT are typically in 3-4 days per week, giving you valuable exposure to senior leadership. London, One Big Family: Home to around 30 employees, our brand-new London office also runs on a hybrid model. You’ll often find our CEO working alongside the team with regular visits. Sydney, Small but Mighty: Our close-knit Sydney office has around 20 employees and follows a flexible hybrid model, fostering strong collaboration. Charlotte, our new US-HQ: Charlotte is our US headquarters and the foundation of our North American growth. From our Uptown office, our teams collaborate closely, build relationships and drive impact across the region, with a setup designed for both focus and flexibility. Remote, Across the US & Europe: The majority of our Tech org works remotely across the UK and Europe, coming together throughout the year for off-sites, company kick-off and technical kick-off. We also have a growing number of remote team members across the US.
How We Handle Your Personal Data
By submitting your application, you acknowledge that Wayflyer Limited will process your personal data for the purpose of evaluating your suitability for the role. Such processing is based on the need to take steps prior to entering into a potential employment agreement. To learn more about how we handle your personal data, you can contact our privacy team at privacy@wayflyer.com or review our privacy notice at https://wayflyer.com/privacy-notice.
AI Operations Analyst employer: Wayflyer
Wayflyer is an exceptional employer that fosters a dynamic and collaborative work culture, where employees are empowered to innovate and make a real impact. With generous benefits including 25 days of paid leave, comprehensive health coverage, and the opportunity to work remotely from anywhere in the world, Wayflyer prioritises employee wellbeing and growth. The company's commitment to equity and a family-first approach ensures that every team member feels valued and invested in our collective success.
StudySmarter Expert Advice🤫
We think this is how you could land AI Operations Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wayflyer!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wayflyer.
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We think you need these skills to ace AI Operations Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wayflyer, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wayflyer. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wayflyer
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wayflyer!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
