Engineering Manager, Understanding

Tbwa Chiat/Day Inc
London
4 days ago
Create job alert

Algolia is a fast-growing company that helps users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Today, Algolia powers 1.5 Trillion searches a year – that’s 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined!

As an Engineering Manager in the AI Search Group, you will lead an engineering team working on a variety of topics.

Join the AI Search Group and help us enhance the core keyword search engine capabilities.

The AI Search Group is committed to enhancing the relevance of search results both before (Understanding) and after (Re-Ranking) a query is made.

We, (the team working on the Understanding & Re-Ranking scopes), are seeking individuals with a strong sense of curiosity and a problem-solving mindset—people who thrive on exploring new ideas and tackling challenges head-on. If you are passionate about uncovering insights and finding innovative solutions to enhance the value our customers receive from Algolia through the application of AI or other creative methods, and if you possess the grit to persevere through obstacles, we would love to hear from you!

Our team consists of engineers (partly remote in Europe timezone, partly working in our Paris office), and we bring together a variety of skills and backgrounds. Your experience, knowledge, and unique perspective will contribute to this diversity and empower the team to create impactful products.

Your role will consist of:

  • Defining the overall technical direction and strategy for your team
  • Mentoring and nurturing front and back software engineers and machine learning engineers, helping them grow in their career
  • Being responsible for technical decisions taken by the team
  • Working alongside the engineers to design and implement monitoring and alerting to ensure high availability, performance and reliability of your team’s services
  • Improving engineering quality, processes and tooling
  • Collaborating with product managers and designers to help define the team roadmap (we follow a bottom-up approach)
  • Interfacing with a wide range of teams to build and evangelize a solid growth foundation

You might be a fit if you:

  • Have 2+ years of engineering management experience and 5+ years of engineering experience
  • Are an excellent communicator able to translate product requirements into technical tasks and vice-versa
  • Have a mindset to take data driven decisions and analyzing impact of the changes you introduce
  • Are fluent in Agile methodology and can lead a project from the idea to production

Nice to have:

  • You have knowledge about challenges associated to running APIs & idempotent data processing pipelines at scale
  • You have experience with Go or Python
  • Are capable of jumping in the trenches with the engineerings — coding, managing incidents, handling on-call

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.

While we have a global presence with physical offices in Paris, NYC, London, Sydney and Bucharest, we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees.

ABOUT US:

Algolia prides itself on being a pioneer and market leader offering an AI Search solution that empowers 17,000+ businesses to compose customer experiences at internet scale that predict what their users want with blazing fast search and web browse experience. Algolia powers more than 30 billion search requests a week – four times more than Microsoft Bing, Yahoo, Baidu, Yandex and DuckDuckGo combined.

Algolia is part of a cadre of innovative new companies that are driving the next generation of software development, creating APIs that make developers’ lives easier; solutions that are better than building from scratch and better than having to tweak monolithic SaaS solutions.

In 2021, the company closed $150 million in series D funding and quadrupled its post-money valuation of $2.25 billion. Being well capitalized enables Algolia to continue to invest in its market leading platform, to better serve its thousands of customers–including Under Armor, Petsmart, Stripe, Gymshark, and Walgreens, to name just a few.

WHO WE'RE LOOKING FOR:

We’re looking for talented, passionate people to build the world’s best search & discovery technology. As an ownership-driven company, we seek team members who thrive within an environment based on autonomy and diversity. We're committed to building an inclusive and diverse workplace. We care about each other and the world around us, and embrace talented people regardless of their race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability and socioeconomic background.

READY TO APPLY?

If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

#J-18808-Ljbffr

Related Jobs

View all jobs

Engineering Lead / Integration Lead

Software Engineering Manager

Software Engineering Manager (AI & Data)

Machine Learning Engineering Manager

Security Manager, Traffic Quality Forensics

Software Engineer (Data)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.