Why loveholidays?
At loveholidays, we’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
About the team
The Revenue Management Engineering team is responsible for our yielding systems, which have high throughput and need to be low latency, whilst enabling non-engineers to make configuration changes. This ensures our trading teams can optimise our pricing to maximise revenue. We have a range of market leading payment plans and this team ensures they are balanced perfectly for customer value and business success. We are constantly adding more automation and future-looking features to make this tooling fit for tomorrow, not just today.
It is part of the Selling department, which is responsible for building the best holiday search experience for customers - searching through billions of offers and ensuring a seamless checkout experience through both our app and web. Areas of responsibility include search, checkout, revenue management, content, performance marketing and customer relationship management.
What you can expect:
Reporting to the Head of Product for Selling, you will:
- Lead your team of software engineers to discover and solve key customer / company problems to deliver our strategy and drive our key metrics; for example: implementing forecasting tools for potential pricing model changes to help understand their impact.
- Working closely with the revenue management team, you’ll become the expert in your area, deeply understanding our operating model, where the key customer / company opportunities for improvement lie.
- Working closely with the data science team, bring data to bear to solve for these opportunities with cutting edge analysis and machine learning.
- You’ll be given autonomy to drive the what and the how within the scope defined, playing a key role alongside revenue management leadership in deciding on the direction the team should take. We want you to work with the team to decide how best to solve the problems and hit our targets.
- Collaborate with other cross-functional teams to support loveholidays’ mission to open the world to everyone.
Your day-to-day:
- At loveholidays, we always strive to improve, and we like people willing to get hands on and drive change. In this role, that might look like jumping on a conference call with other teams in Selling to help design a merchandising approach that maximises customer value, or joining a trading call to address an emergent opportunity.
- Explore all the data points: talk to stakeholders and collect / analyse their feedback on what the key revenue management opportunities are; interrogate and create dashboards in Looker to understand trends over time.
- Use data modelling practices to analyse your findings and create suggestions for strategic and operational improvements and changes.
- Collaborate with your lead engineer and the commercial revenue management team to design the vision for this area, and then devise the strategy and roadmap to get us there.
- Produce written documentation to support your work, report on your findings and to present to stakeholders when necessary.
- Work with internal stakeholders and the broader loveholidays teams to prioritise the highest impact work, balancing strategic goals with immediate improvement.
- Ensure plans are made and processes are created to evaluate the impact of the changes made, including taking responsibility for overseeing and reporting on this evaluation.
Your skillset:
- Data proficiency is critical. You’ll need to identify opportunities from dashboards of numbers, drill into it and find the opportunity - with support from data analysts and the commercial team.
- Excellent analytical skills and an informed, evidence-based approach.
- You drive product development and delivery through solid prioritisation and incremental delivery, setting the pace of the team and unblocking execution.
- A passion for building exceptional internal products that can scale effectively across multiple points of sale, and ensuring we manage our profitability whilst keeping customer value top of mind. This isn’t the front-end of the loveholidays platform, but it is one of the most important areas to support our future growth plans.
- Excellent communication with stakeholders and senior team members, bridging commercial and technical teams by translating complex concepts and requirements.
Desirable
- Experience with pricing and trading, and deep technical and mathematical thinking.
- Experience in analytics tools like BigQuery to unlock insights and give the team visibility into metrics.
- Experience with AI and machine learning approaches to testing at scale.
- Experience with highly technical teams and working in a distributed technical department where you have to see and understand the overall picture.
- Experience with establishing teams across new areas of ownership.
- A proven track-record of end-to-end ownership and delivery of products solving customer / company problems.
Perks of joining us:
- Company pension contributions at 5%
- Individualised training budget for you to learn on the job and level yourself up
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum
- Ability to buy and sell annual leave
- Cycle to work scheme, season ticket loan and eye care vouchers
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
The interview journey:
- Talent acquisition screening - 30 mins
- 1st stage with Hiring Manager - 45 mins
- Final stage with key stakeholder/s including a task to present, in office - 1 hour followed by a behavioural / Culture fit with team - 45 mins
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