Engineering Lead, MongoDB
Search Query Platform & Availability
CA$162-225k
More information about location
Developer data platform
Be an early applicant
Developer data platform
1001+ employees
Be an early applicant
CA$162-225k
More information about location
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- You have 2 or more years of experience managing a team of software engineers
- You have strong technical judgment that you use to effectively guide engineering decisions without necessarily writing code yourself
- You have first-hand experience developing complex systems like databases, distributed systems, or high-performance applications and you use this context to understand the challenges your team faces
- You enjoy coaching, career development, and creating growth opportunities to help your team reach their full potential
- You care about building a diverse, inclusive environment where engineers can do their best work
- You put the customer first and don't hesitate to cross team boundaries in search of the right solution
What the job involves
- We are seeking a Lead Engineer to lead the MongoDB Search Query Platform & Availability team, ensuring querying and indexing tasks are highly available
- Enable the vector and lexical search teams to more effectively enhance the product by solving common platform challenges at scale
- Lead and grow a team, managing all aspects of people management including hiring, growth, compensation, and performance management
- Be directly responsible for the results your team delivers
- Play a key role in defining the roadmap for the next 12 months
- Drive improvements to processes and tools especially those that allow us to confidently make changes to high risk parts of our codebase
- Handle (or lead the effort to handle) time-sensitive customer escalations
- Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
- Work with product managers, program managers, and other teams to specify, prioritize and deliver new features that delight our users
- Ensure high quality and velocity in the design and implementation of new functionality in Search and Vector Search
- Be open to occasional (twice a year) travel to the US
- Success Measures:
- In the first month:
- You have understood the high level architecture of the Search and Vector Search and the team's responsibilities
- You are starting to develop relationships with key stakeholders
- You have gained familiarity with the required day-to-day processes to manage the team
- In three months:
- You have taken over management of your team, and are starting to build trust with your reports
- You have hired two new engineers to the team
- You have assumed responsibility for the day-to-day processes necessary to keep the lights on
- You are involved in reviewing the design for new features and helping the team navigate technical challenges
- In six months:
- You have established your role as a leader in the organization such that team members naturally go to you for guidance
- You have hired and onboarded two new engineers to the team
- You are beginning to involve yourself in planning and roadmapping efforts
- You are leading the planning and execution of a new major feature
- You have produced a roadmap that has buy in from your counterparts
- In twelve months:
- You have performed a full annual cycle of performance and growth conversations with your team members
- You have contributed to the vision for the future of the Search team and helped develop a plan to achieve that vision
- You have increased the capability and velocity of your team in measurable ways
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- Rich health insurance coverage
- Virtual & on-site fitness classes
- Health screenings & telemedicine
- Access to transgender-inclusive health insurance coverage
- Global and internal mobility opportunities
- Equity & Employee Stock Purchase Program
- Pension & retirement programs
- Income Protection
- Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
- Employee Assistance Program
- Mental health counseling
- Free meditation app access
- Fertility & adoption financial assistance
- Parental counseling for new parents
- 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
- 4 weeks of emergency care leave
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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