Job Description
About the role
MongoDB ํ๋ซํผ์ ๋ํ ๊ฐ๋ ฅํ ๊ธฐ์ ์ ์ง์ง์ ๊ณ ๊ฐ์ ์๊ตฌ์ฌํญ์ ๊ธฐ๋ฐ์ผ๋ก MongoDB๊ฐ ์ฑ์ฅํ ์ ์๋๋ก ๋๋ ๊ธฐ์ ์ ์ด์ ์ ๊ฐ์ง ์ ๋ฌธ๊ฐ ๋ถ๋ค์ ์ ํฌ์ ํ๋ฆฌ์ธ์ผ์ฆ ์กฐ์ง์ ๋ชจ์ญ๋๋ค.
MongoDB Partner Solutions Architect๋ CSP, SI, ISV ๋ฑ ๋ค์ํ ํํธ๋์ฌ์ ํ๋ฆฌ์ธ์ผ์ฆ ์ํคํ ํธ, ์์ง๋์ด, ์์ ์ ๋ฌธ๊ฐ๋ค์ด MongoDB๋ฅผ ์ ๊ทน์ ์ผ๋ก ์ง์งํ๋ฉฐ ๊ณต๋ ๊ณ ๊ฐ๊ณผ์ ์ ์ ์ ํ์ฅํ๋๋ก ์ด๋๋๋ค. ์ด ํ์ ํญ๋์ ๊ธฐ์ ํ๊ฒฝ์ ์ดํดํ๋ ์๋ จ๋ ์ํํธ์จ์ด ์ํคํ ํธ๋ค๋ก ๊ตฌ์ฑ๋์ด ์์ผ๋ฉฐ, MongoDB๋ง์ ๊ฐ์น ์ ์์ ์ ๋ต์ ๊ณต๋ GTM(Go-To-Market) ํ๋์ ๋ น์ฌ๋ผ ๊ธฐํ๋ฅผ ๋ฐ๊ตดํฉ๋๋ค. ํํธ๋ ๋ฆฌ๋๋ค๊ณผ ๊ธด๋ฐํ ํ์ ํด ๊ฐ ์กฐ์ง์ ์์ ํ๊ณผ ์ํคํ ํธ๋ค์ ๋์์ผ๋ก ํ๋ ๊ด๋ฒ์ํ ์ด๋์ ํฐ๋ธ๋ฅผ ๊ธฐํยท์คํํ์ฌ ๊ณต๋ ๊ธฐํ๋ฅผ ๋น ๋ฅด๊ฒ ์ฐฝ์ถํฉ๋๋ค. ์คํํธ์ ๋ถํฐ ์ธ๊ณ ์ต๋ ๊ท๋ชจ์ ์ํฐํ๋ผ์ด์ฆ IT ์กฐ์ง์ ์ด๋ฅด๊ธฐ๊น์ง ์ฐ์ ๊ณผ ์ฌ์ฉ ์ฌ๋ก๊ฐ ๋ค์ํ ๊ณ ๊ฐ์ ๋์์ผ๋ก, ํํธ๋์ฌ ์ํคํ ํธ๋ค๊ณผ ๊ณต๋ ์๋ฃจ์ ์ ์ค๊ณํ๋ ์ ๋ขฐํ ์ ์๋ ๊ธฐ์ ์กฐ์ธ์ ์ญํ ์ ๋งก๊ฒ ๋ฉ๋๋ค.
์ ํฌ๋ ํ์ด๋ธ๋ฆฌ๋ ์ ๋ฌด ๋ฐฉ์นจ์ ๋ฐ๋ผ ๋ํ๋ฏผ๊ตญ ์์ธ ์คํผ์ค๋ก ์ถํด๊ทผ์ด ๊ฐ๋ฅํ์ ๋ถ์ ๋ชจ์๊ณ ์ ํฉ๋๋ค. (์์ธ์ ๊ฐ๋จ๊ตฌ ์๋๋๋ก 517 ์์ ํ์)
As an ideal candidate, you will have
- 8๋ ์ด์์ ๊ณ ๊ฐ ๋ฐ ํํธ๋ ๋๋ฉด ์ญํ ํน์ ์ํํธ์จ์ด ๊ฐ๋ฐ ๊ด๋ จ ๊ฒฝํ
- 2๋ ์ด์์ ์ํฐํ๋ผ์ด์ฆ ์ํํธ์จ์ด ๋ถ์ผ์์ (ํํธ๋) ํ๋ฆฌ์ธ์ผ์ฆ ๊ฒฝํ
- AWS, Microsoft, Google ๋ฑ ํด๋ผ์ฐ๋ ์ ๊ณต ์ ์ฒด, ISV ๋๋ ๊ธ๋ก๋ฒ/๋ก์ปฌ SI์ 2๋ ์ด์ ํ์ ๊ฒฝํ
- Python, Node.js, SQL ๊ฐ์ ์ต์ ์คํฌ๋ฆฝํธ ์ธ์ด ๋๋ C/C++, Java, C# ๊ฐ์ ๋ฒ์ฉ ํ๋ก๊ทธ๋๋ฐ ์ธ์ด๋ก ์ค๋ฌด ๊ฐ๋ฐ ๊ฒฝํ
- ํด๋ผ์ฐ๋์ ์จํ๋ ๋ฏธ์ค ํ๊ฒฝ์์ ํ์ฅ์ฑ๊ณผ ๊ณ ๊ฐ์ฉ์ฑ์ ๊ฐ์ถ ๋ถ์ฐ ์์คํ ์ค๊ณ ๊ฒฝํ
- ํํธ๋ยท๊ณ ๊ฐ๊ณผ ํจ๊ป ๋ณต์กํ ๊ธฐ์กด ์ ํ๋ฆฌ์ผ์ด์ ์ํคํ ์ฒ๋ฅผ ๊ฒํ ํ๊ณ , ๊ธฐ์ ์ ํ์ฉํด ๊ฐ์ ๋ฐฉํฅ์ ์ ์ํ ๊ฒฝํ
- ๊ธฐ์ ยท๋น์ฆ๋์ค ๋ฆฌ๋ ๋ชจ๋์๊ฒ ๋ณต์กํ ๊ฐ๋ ์ ๋ช ํํ๊ณ ์ค๋๋ ฅ ์๊ฒ ์ ๋ฌํ ์ ์๋ ๋ฐ์ด๋ ๋ฐํยท์ปค๋ฎค๋์ผ์ด์ ยท๋์ธ๊ด๊ณ ๋ฅ๋ ฅ
- ์์ ํ๊ณผ ๊ณ ๊ฐ/ํํธ๋ ์ ๋ต์ ์๋ฆฝํ๊ณ , MongoDB ๋ฐ ์์ฝ์์คํ ์์์ ์ ๋ ฌํด ์ํธ ์ด์ต์ด ๋๋ ํ๋์ ๋ง๋ค์ด๊ฐ๋ ์ ๋ต์ ์ฌ๊ณ
- ์ต๋ 25%์ ์ถ์ฅ์ด ๊ฐ๋ฅํ์ ๋ถ
You may also have
- ๋ฐ์ดํฐ๋ฒ ์ด์ค ํ๋งค ๋๋ ์ฃผ์ ํด๋ผ์ฐ๋(AWS, Google Cloud, Azure)์์ ์ ํ๋ฆฌ์ผ์ด์ ๊ตฌ์ถ ๊ฒฝํ
- ๋ฐ์ดํฐ ๋ชจ๋ธ๋ง ๋ฐ ๋ฐ์ดํฐ๋ฒ ์ด์ค ๊ธฐ๋ฐ ์ ํ๋ฆฌ์ผ์ด์ ๊ฐ๋ฐ ๊ฒฝํ
- ๋ ๊ฑฐ์ ์์คํ ๊ณผ ํ๋ซํผ์ ํ๋์ ์ด๊ณ ํ์ฅ ๊ฐ๋ฅํ ๊ธฐ์ ์คํ์ผ๋ก ์ ํํ ๊ฒฝํ
What you do at MongoDB
MongoDB ํํธ๋์ ํ๋ ฅํด ๊ธฐ์ ์๋ฃ ๋ฐ ๊ต์ก ํ๋ก๊ทธ๋จ์ ์ ์ํ๊ณ , ๊ณต๋ ์๋ฃจ์ ์ ๋ํ ๊ด์ฌ์ ๋์ฌ ์์ ํ๋์ ๋๋ฆฝ๋๋ค
- MongoDB๋ฅผ ์์ฝ์์คํ ์ ํยท์๋น์ค์ ํตํฉํ ๋ ํผ๋ฐ์ค ์ํคํ ์ฒ ์ ์
- ์๋ก์ ๊ฐ์ ์ ํ์ฉํด ์๋ก์ด ์ฌ์ฉ ์ฌ๋ก์ ์์ฅ์ ์ฌ๋ ๊ณต๋ ์์ ์ ๋ต ๊ตฌ์ถ
- ํ๋ฆฌ์ธ์ผ์ฆ ์ํคํ ํธ๋ค์ด ์ผ๊ด๋ ๋ฉ์์ง๋ฅผ ์ ๋ฌํ ์ ์๋๋ก โํจ๊ปํ๋ฉด ๋ ์ข์โ ๊ธฐ์ ์คํ ๋ฆฌ ๊ฐ๋ฐ
- ์จ๋ผ์ธยท์คํ๋ผ์ธ ๊ธฐ์ ์จ๋น๋์ ๋ฐํ ์งํ
ํํธ๋ ๋ฆฌ๋ ๋ฐ ์ ๋ฌธ ์ธ๋ ฅ๊ณผ ํจ๊ป ๊ธฐ์ ๊ต์ก๊ณผ ์ ๋ต ๊ณ์ ๋งคํ ์ธ์ ์ ์ ๊ณตํ๊ณ , ์ํธ ์ด์ต์ด ๋๋ ์์ ๊ธฐํ๋ฅผ ๋ฐ๊ตดํฉ๋๋ค
ํํธ๋์ ๊ธฐ์ ์์ ๋๊ธฐ๋ฅผ ์ดํดํด, ํ์ค ๋ง์ผํ ๋ฉ์์ง์ ์ฐจ๋ณํ๋ ๋ง์ถคํ GTM ์ ๋ตยท๋ฉ์์ง๋ฅผ ์ค๊ณํฉ๋๋ค
๊น์ด ์๋ ์ ๋ฌธ์ฑ์ด ์๊ตฌ๋๋ ๊ณ ๊ฐ ์ฐธ์ฌ์ MongoDB ํํธ๋์ ์ฃผ์ ์ ๋ฌธ๊ฐ๋ก ์ฐธ์ฌํด ๊ธฐ์ ์ ์ฑ๊ณต์ ์ด๋๋๋ค
What you will learn
MongoDB ์ ํ๊ตฐ
ํต์ฌ ๋ฐ์ดํฐ๋ฒ ์ด์ค ์๋ฒ: MongoDB ํต์ฌ ๋ฐ์ดํฐ๋ฒ ์ด์ค์ ๊ธฐ๋ณธ ๋ฐ ๊ณ ๊ธ ๊ธฐ๋ฅ ์๋ฌ
Atlas ๋ฐ ๊ณ ๊ธ ์๋น์ค: Atlas(์์ ๊ด๋ฆฌํ ํด๋ผ์ฐ๋ ๋ฐ์ดํฐ๋ฒ ์ด์ค ์๋น์ค), Atlas ์คํธ๋ฆผ ์ฒ๋ฆฌ, Atlas ๋ฐ์ดํฐ ๋ ์ดํฌ, Atlas ์ ์ฒด ํ ์คํธ ๊ฒ์, Atlas ๋ฒกํฐ ๊ฒ์ ๋ฐ ์ฐจํธ์ ๋ํ ์ ๋ฌธ์ฑ ํ๋ณด
Relational Migrator: ๊ด๊ณํ ๋ฐ์ดํฐ๋ฒ ์ด์ค์ ์ํํ ๋ง์ด๊ทธ๋ ์ด์ ํด
์์ฅ ๊ด๋ จ ๊ธฐ์
ํ์ดํผ์ค์ผ์ผ๋ฌ ์ํ๊ณ: ํ์ดํผ์ค์ผ์ผ๋ฌ ํ๋ซํผ์ ํด๋ผ์ฐ๋ ์๋น์ค๋ฅผ ํ์ฉํ์ฌ ๋ณต์กํ ์์คํ ์ค๊ณ ์ ๋ฌธ์ฑ ํ๋ณด
Apache Kafka, Kubernetes ๋ฑ์ ํํธ๋ยท๋ณด์ ๊ธฐ์
ํ๋์ ์ํคํ ์ฒ ์ค๊ณ
์ค๊ณ ํจํด ๋ฐ ๋ฐฉ๋ฒ๋ก : ๋ง์ดํฌ๋ก์๋น์ค, DevOps, ํด๋ผ์ฐ๋ ๋ฐ ๋ณด์์ ๋ชจ๋ฒ ์ฌ๋ก ์์ฉ
์ต์ RAG ๋ฐ AI ์ํคํ ์ฒ: ์์ฑํ AI ์ฌ์ ์์ ๊ณ ๊ฐ์ ์ง์ํ๊ณ , ํด๋น ๋ถ์ผ์ ์ ๋์ ์ธ ํํธ๋์ ํ๋ ฅ
์์ ๊ธฐ์ ๋ฐ ์ํํธ ์คํฌ
ํจ๊ณผ์ ์ธ ์ปค๋ฎค๋์ผ์ด์ : ํ๋ ์ ํ ์ด์ , ๋ฐ๋ชจ ๋ฐ ํ์ดํธ๋ณด๋ ๊ธฐ์ ์๋ฌ
๊ณ ๊ฐ ์ํธ์์ฉ: ๋ฐ๊ฒฌ ๋ฐ ์ด์ ์ ๊ธฐ ์ฒ๋ฆฌ ์ ๋ต ๊ฐ๋ฐ
์ ๊ณ ํต์ฐฐ
- ๋ค์ํ ์์ฅ ๋ถ์ผ: ๋ค์ํ ์ฐ์ ์ ๋ฐ์ ํฅ๋ฏธ๋ก์ด ์ฌ์ฉ ์ฌ๋ก์ ๋ํ ๊ฒฝํ
MongoDB ์๊ฐ
MongoDB๋ ๋ณํ๋ฅผ ์ํด ๋ง๋ค์ด์ก์ต๋๋ค. ์ฐ๋ฆฌ๋ ๊ณ ๊ฐ๊ณผ ๊ตฌ์ฑ์์ด ์์ฅ์ ์๋์ ๋ง์ถฐ ํ์ ํ ์ ์๋๋ก ํ์ ์ค์ด์ค๋๋ค. ์ฐ๋ฆฌ๋ AI ์๋๋ฅผ ์ํ ๋ฐ์ดํฐ๋ฒ ์ด์ค๋ฅผ ์๋กญ๊ฒ ์ ์ํ์ฌ, ํ์ ๊ฐ๋ค์ด ์ํํธ์จ์ด๋ก ์ฐ์ ์ ์ฐฝ์กฐํ๊ณ , ๋ณํ์ํค๊ณ , ํ์ ํ ์ ์๋๋ก ํฉ๋๋ค. MongoDB์ ํตํฉ ๋ฐ์ดํฐ๋ฒ ์ด์ค ํ๋ซํผ์ ์์ฅ์์ ๊ฐ์ฅ ๋๋ฆฌ ๋ณด๊ธ๋๊ณ ์ ์ธ๊ณ์ ์ผ๋ก ๋ถ์ฐ๋ ๋ฐ์ดํฐ๋ฒ ์ด์ค์ ๋๋ค. ์ด ํ๋ซํผ์ ์กฐ์ง์ด ๊ธฐ์กด ๋ ๊ฑฐ์ ์ํฌ๋ก๋๋ฅผ ํ๋ํํ๊ณ , ํ์ ์ ์์ฉํ๋ฉฐ, AI๋ฅผ ๋ง์๊ป ํ์ฉํ ์ ์๋๋ก ์ง์ํฉ๋๋ค. ํด๋ผ์ฐ๋ ๋ค์ดํฐ๋ธ ํ๋ซํผ์ธ MongoDB Atlas๋ AWS, Google Cloud, Microsoft Azure์์ ๋ชจ๋ ์ฌ์ฉํ ์ ์๋ ์ ์ผํ ์ ์ธ๊ณ ๋ถ์ฐ ๋ฉํฐํด๋ผ์ฐ๋ ๋ฐ์ดํฐ๋ฒ ์ด์ค์ ๋๋ค.
์ ์ธ๊ณ ์คํผ์ค์์ ์ผํ๊ณ ์๋ MongoDB๋ ์ฝ 60,000๋ช ์ ๊ณ ๊ฐ์ ๋ณด์ ํ๊ณ ์์ผ๋ฉฐ, ์ฌ๊ธฐ์๋ ํฌ์ถ 100๋ ๊ธฐ์ ์ 75%์ AI ๊ธฐ๋ฐ ์คํํธ์ ์ด ํฌํจ๋ฉ๋๋ค. ์ด๋ค์ ๊ฐ์ฅ ์ค์ํ ์ ํ๋ฆฌ์ผ์ด์ ์ ์ํด MongoDB๋ฅผ ์ฌ์ฉํ๊ณ ์์ผ๋ฉฐ, ์ฐ๋ฆฌ๋ ์ด๋ค๊ณผ ํจ๊ป ์ํํธ์จ์ด์ ์๋ก์ด ์๋๋ฅผ ์ด์ด๊ฐ๊ณ ์์ต๋๋ค.
MongoDB์์ ์ฐ๋ฆฌ์ ๋์นจ๋ฐ์ Leadership Commitment์ ๋๋ค. ์ด๋ ์ฐ๋ฆฌ๊ฐ ์ด๋ป๊ฒ, ๊ทธ๋ฆฌ๊ณ ์ ๊ฒฐ์ ์ ๋ด๋ฆฌ๋์ง, ์๋ก์๊ฒ ์ด๋ป๊ฒ ํ๋ํ๋์ง, ๊ทธ๋ฆฌ๊ณ ์ด๋ป๊ฒ ์ฑ๊ณตํ๋์ง๋ฅผ ์๋ดํฉ๋๋ค. ์ด๊ฒ์ด MongoDB๋ฅผ MongoDB๋ต๊ฒ ๋ง๋๋ ์์์ ๋๋ค.
์ฐ๋ฆฌ๋ ๋ชจ๋ ๊ตฌ์ฑ์์ ๊ฐ์ธ์ ์ฑ์ฅ๊ณผ ๋น์ฆ๋์ค ์ํฅ๋ ฅ์ ๋์ด๊ธฐ ์ํด, ๋ชจ๋ ์ฌ๋์๊ฒ ์ง์ง์ ํ์๋ก์์ ์ ๊ณตํ๋ ๋ฌธํ๋ฅผ ๋ง๋๋ ๋ฐ ํ์ ํ๊ณ ์์ต๋๋ค. ์ง์ ์ปค๋ฎค๋ํฐ(affinity groups)์์๋ถํฐ ๋์ ์น๋ฃ ์ง์, ๊ทธ๋ฆฌ๊ณ ๋๋ํ ๋ถ๋ชจ ํด๊ฐ ์ ๋์ ์ด๋ฅด๊ธฐ๊น์ง, ์ฐ๋ฆฌ๋ ๊ตฌ์ฑ์์ ์ฐ๋น์ ์ค์ํ๊ฒ ์ฌ๊ธฐ๋ฉฐ, ๊ทธ๋ค์ ์ง์ ์ ยท๊ฐ์ธ์ ์ฌ์ ์ ๋ชจ๋ ๋จ๊ณ์์ ์ง์ํฉ๋๋ค. MongoDB์์ ์ผํ๋ ๊ฒ์ด ์ด๋ค ๊ฒฝํ์ธ์ง ๋ ์์๋ณด๊ณ , ์ธ์์ ๋ณํ๋ฅผ ๋ง๋๋ ์ฐ๋ฆฌ์ ์ฌ์ ์ ํจ๊ปํด ์ฃผ์ธ์!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID - 3263286471
About the role
We are looking for passionate technologists to join our Pre-sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Partner Solutions Architect are responsible for guiding customer-facing architects, engineers, and account managers at our partners (CSPs, SIs and ISVs) to become passionate advocates for MongoDB with our joint customers. Our team is made up of seasoned software architects who use their comprehensive understanding of the technology landscape to identify opportunities to incorporate the unique value proposition of MongoDB into strategic joint go-to-market activities. You’ll work closely with our various partner leaders to design and build wide reaching initiatives for sales reps and architects at their organisations and MongoDB to accelerate joint opportunities. You’ll be a trusted advisor in collaborating with experienced architects at our partners to build joint solutions across a variety of industries and use cases to serve organisations from startups to Fortune 50 enterprises.
We are looking to speak to candidates who are based in Seoul for our hybrid working model.
As an ideal candidate, you will have
- Ideally 8+ years of related experience in a customer facing role or a strong software development background, minimum 2+ years of experience in (partner) pre-sales with enterprise software
- Preferably 2+ years of experience working with cloud providers (AWS, Microsoft or Google), ISVs or Global / Local SIs
- Working knowledge and ability to code with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with partners/customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership.
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
You may also have
- Experience selling databases and/or deploying applications with any of the major cloud providers (AWS, Google Cloud, Azure, etc.)
- Experience with data modeling and programming database-backed applications
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
What you do at MongoDB
You work with counterparts from the MongoDB partners to develop technical collateral and enablement programs to generate enthusiasm for joint solutions with MongoDB that leads to an increase in sales activity. This involves:
- Creating reference architectures that integrate MongoDB with the ecosystem products and services to offer best-in-class solutions for our customers
- Building joint sales plays to use each othersโ strengths to expand into new use cases and markets
- Developing a technical โbetter togetherโ messaging so pre-sales architects at MongoDB and our partners have a consistent narrative to joint customers
- Delivering technical webinars and talks at virtual and in-person events to drive interest in joint solutions
You work closely with the partners leader and specialists at MongoDB to deliver technical enablement and strategic account mapping sessions to account teams to identify mutually beneficial sales opportunities
You develop nuanced messaging and go-to-market motions informed by an empathetic understanding of what motivates technical sellers at MongoDB partners that are distinct from MongoDBโs standard marketing message and unique per partner
You are the subject matter expert for MongoDB partners in the MongoDB Solutions Architecture community, brought in to customer engagements when deep specialized expertise is required to achieve the technical win in the engagement
What you will learn
MongoDB Product Suite Mastery
- Core Database Server: Master the fundamentals and advanced features of MongoDB’s core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries.
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDBโs unified database platformโthe most widely available, globally distributed database on the marketโhelps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customersโincluding 75% of the Fortune 100 and AI-native startupsโrelying on MongoDB for their most important applications, weโre powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. Itโs what makes us MongoDB.
To drive the personal growth and business impact of our employees, weโre committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employeesโ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what itโs like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID - 3263286471












