At a Glance
- Tasks: Join Algolia to empower businesses with cutting-edge AI search solutions and drive customer success.
- Company: Be part of a pioneering tech company leading the AI search market.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic, inclusive culture focused on collaboration and personal development.
- Why this job: Make a real impact by helping customers unlock the full potential of our innovative platform.
- Qualifications: 3+ years in a technical customer-facing role and software development experience.
The predicted salary is between 60000 - 80000 £ per year.
At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market‑leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.
We are seeking passionate and industrious Solutions Engineers ready to join a hyper‑growth business and market to help evangelise and drive technical success with our solutions. We are looking for experienced, curious, and driven Solutions Engineers to help customers realise the full value of our platform in a fast‑growing market. This role is a critical part of Algolia’s go‑to‑market organisation, working closely with Sales and Solutions partners to drive revenue, customer adoption, and best practices.
You will play a key role in helping prospects and customers evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre‑sales relationship across opportunities and accounts. You will partner with Account Executives to demonstrate the product and underlying architecture, address technical and business objections, and deliver thoughtful, consultative solutions that result in a strong technical win and clear product fit. You will act as both a deep technical expert and a trusted advisor. This means being equally comfortable presenting an engaging solution to a CTO, collaborating with product managers, or building prototypes and integrations directly with customer engineers using Algolia’s APIs.
You thrive in conversations with engineers, product leaders, and executives, and you know how to translate complex technical concepts into clear business value for diverse audiences. Beyond customer‑facing work, you will serve as an advocate for customer needs internally, partnering with Product and Engineering, contributing to technical content, enabling internal teams, and supporting cross‑company initiatives that improve how customers succeed with Algolia. Our priorities are guided by a simple question: what will help our customers be more successful with Algolia?
Your Role Will Consist Of:
- Work with Sales Teams and prospects on their evaluation and adoption of Algolia solutions
- Understand and qualify customer goals with KPIs and effectively articulate Algolia’s ability to meet them
- Assist in the Sales process including discovery, demo, Proofs of Concept (POC), RFP responses & business justification
- Develop custom search applications leveraging the tools, frameworks, and partners of the Algolia ecosystem.
- Distill and advocate customer interests, needs and product feedback in order to relay to Product and Engineering teams
- Continuously learn and update skills and keep aware of industry trends in the Search and Discovery space, and contribute to thought leadership to make Algolia more accessible to the world.
- Work with the Solution Architects and Customer Success teams on seamless transition to the post sales process to ensure highly successful onboarding
You Might Be a Fit If You Have:
- Obsessed with Solving Customer Problems
- 3+ years experience in a customer‑facing technical role (SE, SA, consultant, PM), ideally in the SaaS space
- Previous software development experience in one or more of the following areas: Back‑End: Java, Ruby, Go, Node, Python, Swift/Objective‑C
- Experience with data formats and data transformation
- Great oral and written communication skills
- Superior organisational skills working with multiple customers and have the ability to switch context quickly throughout the day with various competing demands and attention to detail
- Experience at our current stage and beyond ($150‑300M+ ARR range, high growth, lots of change and building internal infrastructure)
Nice to Have:
- Additional European languages such as Italian, Spanish or German
- A background in the search industry or e‑commerce
- Specific knowledge in frameworks Magento, Shopify, Salesforce Commerce Cloud, commercetools and alike
- Familiarity with emerging concepts in agentic AI systems (e.g., autonomous reasoning, tool use, or multi‑agent orchestration).
- Knowledge in Analytics, SEO
Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
The annual total cash compensation range (base salary and commission) for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job‑related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.
FLEXIBLE WORKPLACE STRATEGY: Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high‑trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid‑remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid‑remote or in‑office schedule.
WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:
- GRIT - Problem‑solving and perseverance capability in an ever‑changing and growing environment.
- TRUST - Willingness to trust our co‑workers and to take ownership.
- CANDOR - Ability to receive and give constructive feedback.
- CARE - Genuine care about other team members, our clients and the decisions we make in the company.
- HUMILITY - Aptitude for learning from others, putting ego aside.
We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.
Solutions Engineer London, England employer: Algolia
At Algolia, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. As a Solutions Engineer in London, you will benefit from our flexible workplace strategy, allowing you to thrive in a high-trust environment while collaborating with talented professionals across the globe. With a strong commitment to personal development and a focus on solving customer challenges, Algolia offers a unique opportunity to make a meaningful impact in the rapidly evolving AI Search industry.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Engineer London, England
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Algolia or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Algolia.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Algolia.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Algolia that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Solutions Engineer London, England
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Algolia.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Algolia and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Algolia
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Algolia uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.