Engineering Manager, Algolia

• 2+ years in a managing/leading role
• Designed and operated data pipelines with high volume and throughput
• Experience designing data intensive applications leveraging relational (e.g. PostgreSQL) or NoSQL (e.g. Bigtable) databases
• Experience designing new applications with reliability, operability, and availability in mind
• Experience writing robust Go code
• Experience with GCP (especially Bigtable/BigQuery), Kubernetes, and Terraform
• 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

• The Data team aims to help Algolia grow as an agile business. To achieve that, we are building a powerful and flexible Data Platforms, allowing every product team in the company to to collect, compose, and consume data
• To that end, we are looking for an Engineering Manager to join the team and help us scale our Data Platform
• You will work on features and services that are critical for Algolia, from data pipelines ingesting very large amounts of logs from all our products to APIs that are relied upon to alert and charge customers based on their usage
• You will also play a role in training, mentoring and leading team members
• Help the team plan, execute and ship releases respecting timelines and high-quality development, working closely with the product and leadership teams
• Hire, coach and mentor engineers to excel at their work and grow
• Be a key contributor to the design, development, operation and deployment of all features of the Usage Platform processing pipelines and APIs
• Be responsible for the quality and the robustness of the APIs and services
• Improve engineering quality, processes and tooling
• Work closely with the team’s Product Manager to help define the roadmap and assist internal stakeholders (other product teams) with releasing new products

• Health Insurance
• Mental Health Care
• Accidental Death & Dismemberment Insurance
• Dental Insurance
• Disability Insurance
• Flexible Spending Account (FSA)
• Health Savings Account (HSA)
• Life Insurance

Total funding: $334m

While in-site searching has been available for some time from web search servers such as Google and Bing, its functionality is limited due to it relying on general web scraping techniques which can miss relevant information. By contrast Algolia indexes only the company's site, allowing its search to serve accurate results extremely swiftly, which helps to drive sales conversions aside from making sites far more usable. The efficacy of this solution can be seen from its customer base of over 10,000 companies including the likes of Slack, Zendesk and Lacoste.