Job Description

About the role

MongoDB ํ”Œ๋žซํผ์— ๋Œ€ํ•œ ๊ฐ•๋ ฅํ•œ ๊ธฐ์ˆ ์  ์ง€์ง€์™€ ๊ณ ๊ฐ์˜ ์š”๊ตฌ์‚ฌํ•ญ์„ ๊ธฐ๋ฐ˜์œผ๋กœ MongoDB๊ฐ€ ์„ฑ์žฅํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๋Š” ๊ธฐ์ˆ ์— ์—ด์ •์„ ๊ฐ€์ง„ ์ „๋ฌธ๊ฐ€ ๋ถ„๋“ค์„ ์ €ํฌ์˜ ํ”„๋ฆฌ์„ธ์ผ์ฆˆ ์กฐ์ง์— ๋ชจ์‹ญ๋‹ˆ๋‹ค.

MongoDB Partner Solutions Architect๋Š” CSP, SI, ISV ๋“ฑ ๋‹ค์–‘ํ•œ ํŒŒํŠธ๋„ˆ์‚ฌ์˜ ํ”„๋ฆฌ์„ธ์ผ์ฆˆ ์•„ํ‚คํ…ํŠธ, ์—”์ง€๋‹ˆ์–ด, ์˜์—… ์ „๋ฌธ๊ฐ€๋“ค์ด MongoDB๋ฅผ ์ ๊ทน์ ์œผ๋กœ ์ง€์ง€ํ•˜๋ฉฐ ๊ณต๋™ ๊ณ ๊ฐ๊ณผ์˜ ์ ‘์ ์„ ํ™•์žฅํ•˜๋„๋ก ์ด๋•๋‹ˆ๋‹ค. ์ด ํŒ€์€ ํญ๋„“์€ ๊ธฐ์ˆ  ํ™˜๊ฒฝ์„ ์ดํ•ดํ•˜๋Š” ์ˆ™๋ จ๋œ ์†Œํ”„ํŠธ์›จ์–ด ์•„ํ‚คํ…ํŠธ๋“ค๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์œผ๋ฉฐ, MongoDB๋งŒ์˜ ๊ฐ€์น˜ ์ œ์•ˆ์„ ์ „๋žต์  ๊ณต๋™ GTM(Go-To-Market) ํ™œ๋™์— ๋…น์—ฌ๋‚ผ ๊ธฐํšŒ๋ฅผ ๋ฐœ๊ตดํ•ฉ๋‹ˆ๋‹ค. ํŒŒํŠธ๋„ˆ ๋ฆฌ๋”๋“ค๊ณผ ๊ธด๋ฐ€ํžˆ ํ˜‘์—…ํ•ด ๊ฐ ์กฐ์ง์˜ ์˜์—…ํŒ€๊ณผ ์•„ํ‚คํ…ํŠธ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜๋Š” ๊ด‘๋ฒ”์œ„ํ•œ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ๋ฅผ ๊ธฐํšยท์‹คํ–‰ํ•˜์—ฌ ๊ณต๋™ ๊ธฐํšŒ๋ฅผ ๋น ๋ฅด๊ฒŒ ์ฐฝ์ถœํ•ฉ๋‹ˆ๋‹ค. ์Šคํƒ€ํŠธ์—…๋ถ€ํ„ฐ ์„ธ๊ณ„ ์ตœ๋Œ€ ๊ทœ๋ชจ์˜ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ IT ์กฐ์ง์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ์‚ฐ์—…๊ณผ ์‚ฌ์šฉ ์‚ฌ๋ก€๊ฐ€ ๋‹ค์–‘ํ•œ ๊ณ ๊ฐ์„ ๋Œ€์ƒ์œผ๋กœ, ํŒŒํŠธ๋„ˆ์‚ฌ ์•„ํ‚คํ…ํŠธ๋“ค๊ณผ ๊ณต๋™ ์†”๋ฃจ์…˜์„ ์„ค๊ณ„ํ•˜๋Š” ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ์ˆ  ์กฐ์–ธ์ž ์—ญํ• ์„ ๋งก๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.

์ €ํฌ๋Š” ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ์—…๋ฌด ๋ฐฉ์นจ์— ๋”ฐ๋ผ ๋Œ€ํ•œ๋ฏผ๊ตญ ์„œ์šธ ์˜คํ”ผ์Šค๋กœ ์ถœํ‡ด๊ทผ์ด ๊ฐ€๋Šฅํ•˜์‹  ๋ถ„์„ ๋ชจ์‹œ๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. (์„œ์šธ์‹œ ๊ฐ•๋‚จ๊ตฌ ์˜๋™๋Œ€๋กœ 517 ์•„์…ˆํƒ€์›Œ)

As an ideal candidate, you will have

  • 8๋…„ ์ด์ƒ์˜ ๊ณ ๊ฐ ๋ฐ ํŒŒํŠธ๋„ˆ ๋Œ€๋ฉด ์—ญํ•  ํ˜น์€ ์†Œํ”„ํŠธ์›จ์–ด ๊ฐœ๋ฐœ ๊ด€๋ จ ๊ฒฝํ—˜
  • 2๋…„ ์ด์ƒ์˜ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ ์†Œํ”„ํŠธ์›จ์–ด ๋ถ„์•ผ์—์„œ (ํŒŒํŠธ๋„ˆ) ํ”„๋ฆฌ์„ธ์ผ์ฆˆ ๊ฒฝํ—˜
  • AWS, Microsoft, Google ๋“ฑ ํด๋ผ์šฐ๋“œ ์ œ๊ณต ์—…์ฒด, ISV ๋˜๋Š” ๊ธ€๋กœ๋ฒŒ/๋กœ์ปฌ SI์™€ 2๋…„ ์ด์ƒ ํ˜‘์—… ๊ฒฝํ—˜
  • Python, Node.js, SQL ๊ฐ™์€ ์ตœ์‹  ์Šคํฌ๋ฆฝํŠธ ์–ธ์–ด ๋˜๋Š” C/C++, Java, C# ๊ฐ™์€ ๋ฒ”์šฉ ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์–ธ์–ด๋กœ ์‹ค๋ฌด ๊ฐœ๋ฐœ ๊ฒฝํ—˜
  • ํด๋ผ์šฐ๋“œ์™€ ์˜จํ”„๋ ˆ๋ฏธ์Šค ํ™˜๊ฒฝ์—์„œ ํ™•์žฅ์„ฑ๊ณผ ๊ณ ๊ฐ€์šฉ์„ฑ์„ ๊ฐ–์ถ˜ ๋ถ„์‚ฐ ์‹œ์Šคํ…œ ์„ค๊ณ„ ๊ฒฝํ—˜
  • ํŒŒํŠธ๋„ˆยท๊ณ ๊ฐ๊ณผ ํ•จ๊ป˜ ๋ณต์žกํ•œ ๊ธฐ์กด ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ์•„ํ‚คํ…์ฒ˜๋ฅผ ๊ฒ€ํ† ํ•˜๊ณ , ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•ด ๊ฐœ์„  ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•œ ๊ฒฝํ—˜
  • ๊ธฐ์ˆ ยท๋น„์ฆˆ๋‹ˆ์Šค ๋ฆฌ๋” ๋ชจ๋‘์—๊ฒŒ ๋ณต์žกํ•œ ๊ฐœ๋…์„ ๋ช…ํ™•ํ•˜๊ณ  ์„ค๋“๋ ฅ ์žˆ๊ฒŒ ์ „๋‹ฌํ•  ์ˆ˜ ์žˆ๋Š” ๋›ฐ์–ด๋‚œ ๋ฐœํ‘œยท์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ยท๋Œ€์ธ๊ด€๊ณ„ ๋Šฅ๋ ฅ
  • ์˜์—…ํŒ€๊ณผ ๊ณ ๊ฐ/ํŒŒํŠธ๋„ˆ ์ „๋žต์„ ์ˆ˜๋ฆฝํ•˜๊ณ , MongoDB ๋ฐ ์—์ฝ”์‹œ์Šคํ…œ ์ž์›์„ ์ •๋ ฌํ•ด ์ƒํ˜ธ ์ด์ต์ด ๋˜๋Š” ํ”Œ๋žœ์„ ๋งŒ๋“ค์–ด๊ฐ€๋Š” ์ „๋žต์  ์‚ฌ๊ณ 
  • ์ตœ๋Œ€ 25%์˜ ์ถœ์žฅ์ด ๊ฐ€๋Šฅํ•˜์‹  ๋ถ„

You may also have

  • ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ํŒ๋งค ๋˜๋Š” ์ฃผ์š” ํด๋ผ์šฐ๋“œ(AWS, Google Cloud, Azure)์—์„œ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ตฌ์ถ• ๊ฒฝํ—˜
  • ๋ฐ์ดํ„ฐ ๋ชจ๋ธ๋ง ๋ฐ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๊ธฐ๋ฐ˜ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ ๊ฒฝํ—˜
  • ๋ ˆ๊ฑฐ์‹œ ์‹œ์Šคํ…œ๊ณผ ํ”Œ๋žซํผ์„ ํ˜„๋Œ€์ ์ด๊ณ  ํ™•์žฅ ๊ฐ€๋Šฅํ•œ ๊ธฐ์ˆ  ์Šคํƒ์œผ๋กœ ์ „ํ™˜ํ•œ ๊ฒฝํ—˜

What you do at MongoDB

  • MongoDB ํŒŒํŠธ๋„ˆ์™€ ํ˜‘๋ ฅํ•ด ๊ธฐ์ˆ  ์ž๋ฃŒ ๋ฐ ๊ต์œก ํ”„๋กœ๊ทธ๋žจ์„ ์ œ์ž‘ํ•˜๊ณ , ๊ณต๋™ ์†”๋ฃจ์…˜์— ๋Œ€ํ•œ ๊ด€์‹ฌ์„ ๋†’์—ฌ ์˜์—… ํ™œ๋™์„ ๋Š˜๋ฆฝ๋‹ˆ๋‹ค

    • MongoDB๋ฅผ ์—์ฝ”์‹œ์Šคํ…œ ์ œํ’ˆยท์„œ๋น„์Šค์™€ ํ†ตํ•ฉํ•œ ๋ ˆํผ๋Ÿฐ์Šค ์•„ํ‚คํ…์ฒ˜ ์ œ์ž‘
    • ์„œ๋กœ์˜ ๊ฐ•์ ์„ ํ™œ์šฉํ•ด ์ƒˆ๋กœ์šด ์‚ฌ์šฉ ์‚ฌ๋ก€์™€ ์‹œ์žฅ์„ ์—ฌ๋Š” ๊ณต๋™ ์˜์—… ์ „๋žต ๊ตฌ์ถ•
    • ํ”„๋ฆฌ์„ธ์ผ์ฆˆ ์•„ํ‚คํ…ํŠธ๋“ค์ด ์ผ๊ด€๋œ ๋ฉ”์‹œ์ง€๋ฅผ ์ „๋‹ฌํ•  ์ˆ˜ ์žˆ๋„๋ก โ€˜ํ•จ๊ป˜ํ•˜๋ฉด ๋” ์ข‹์€โ€™ ๊ธฐ์ˆ  ์Šคํ† ๋ฆฌ ๊ฐœ๋ฐœ
    • ์˜จ๋ผ์ธยท์˜คํ”„๋ผ์ธ ๊ธฐ์ˆ  ์›จ๋น„๋‚˜์™€ ๋ฐœํ‘œ ์ง„ํ–‰
  • ํŒŒํŠธ๋„ˆ ๋ฆฌ๋” ๋ฐ ์ „๋ฌธ ์ธ๋ ฅ๊ณผ ํ•จ๊ป˜ ๊ธฐ์ˆ  ๊ต์œก๊ณผ ์ „๋žต ๊ณ„์ • ๋งคํ•‘ ์„ธ์…˜์„ ์ œ๊ณตํ•˜๊ณ , ์ƒํ˜ธ ์ด์ต์ด ๋˜๋Š” ์˜์—… ๊ธฐํšŒ๋ฅผ ๋ฐœ๊ตดํ•ฉ๋‹ˆ๋‹ค

  • ํŒŒํŠธ๋„ˆ์˜ ๊ธฐ์ˆ  ์˜์—… ๋™๊ธฐ๋ฅผ ์ดํ•ดํ•ด, ํ‘œ์ค€ ๋งˆ์ผ€ํŒ… ๋ฉ”์‹œ์ง€์™€ ์ฐจ๋ณ„ํ™”๋œ ๋งž์ถคํ˜• GTM ์ „๋žตยท๋ฉ”์‹œ์ง€๋ฅผ ์„ค๊ณ„ํ•ฉ๋‹ˆ๋‹ค

  • ๊นŠ์ด ์žˆ๋Š” ์ „๋ฌธ์„ฑ์ด ์š”๊ตฌ๋˜๋Š” ๊ณ ๊ฐ ์ฐธ์—ฌ์— MongoDB ํŒŒํŠธ๋„ˆ์˜ ์ฃผ์ œ ์ „๋ฌธ๊ฐ€๋กœ ์ฐธ์—ฌํ•ด ๊ธฐ์ˆ ์  ์„ฑ๊ณต์„ ์ด๋•๋‹ˆ๋‹ค

What you will learn

MongoDB ์ œํ’ˆ๊ตฐ

  • ํ•ต์‹ฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ์„œ๋ฒ„: MongoDB ํ•ต์‹ฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์˜ ๊ธฐ๋ณธ ๋ฐ ๊ณ ๊ธ‰ ๊ธฐ๋Šฅ ์ˆ™๋‹ฌ

  • Atlas ๋ฐ ๊ณ ๊ธ‰ ์„œ๋น„์Šค: Atlas(์™„์ „ ๊ด€๋ฆฌํ˜• ํด๋ผ์šฐ๋“œ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ์„œ๋น„์Šค), Atlas ์ŠคํŠธ๋ฆผ ์ฒ˜๋ฆฌ, Atlas ๋ฐ์ดํ„ฐ ๋ ˆ์ดํฌ, Atlas ์ „์ฒด ํ…์ŠคํŠธ ๊ฒ€์ƒ‰, Atlas ๋ฒกํ„ฐ ๊ฒ€์ƒ‰ ๋ฐ ์ฐจํŠธ์— ๋Œ€ํ•œ ์ „๋ฌธ์„ฑ ํ™•๋ณด

  • Relational Migrator: ๊ด€๊ณ„ํ˜• ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์˜ ์›ํ™œํ•œ ๋งˆ์ด๊ทธ๋ ˆ์ด์…˜ ํˆด

์‹œ์žฅ ๊ด€๋ จ ๊ธฐ์ˆ 

  • ํ•˜์ดํผ์Šค์ผ€์ผ๋Ÿฌ ์ƒํƒœ๊ณ„: ํ•˜์ดํผ์Šค์ผ€์ผ๋Ÿฌ ํ”Œ๋žซํผ์˜ ํด๋ผ์šฐ๋“œ ์„œ๋น„์Šค๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ณต์žกํ•œ ์‹œ์Šคํ…œ ์„ค๊ณ„ ์ „๋ฌธ์„ฑ ํ™•๋ณด

  • Apache Kafka, Kubernetes ๋“ฑ์˜ ํŒŒํŠธ๋„ˆยท๋ณด์™„ ๊ธฐ์ˆ 

ํ˜„๋Œ€์  ์•„ํ‚คํ…์ฒ˜ ์„ค๊ณ„

  • ์„ค๊ณ„ ํŒจํ„ด ๋ฐ ๋ฐฉ๋ฒ•๋ก : ๋งˆ์ดํฌ๋กœ์„œ๋น„์Šค, DevOps, ํด๋ผ์šฐ๋“œ ๋ฐ ๋ณด์•ˆ์˜ ๋ชจ๋ฒ” ์‚ฌ๋ก€ ์ˆ˜์šฉ

  • ์ตœ์‹  RAG ๋ฐ AI ์•„ํ‚คํ…์ฒ˜: ์ƒ์„ฑํ˜• AI ์—ฌ์ •์—์„œ ๊ณ ๊ฐ์„ ์ง€์›ํ•˜๊ณ , ํ•ด๋‹น ๋ถ„์•ผ์˜ ์„ ๋„์ ์ธ ํŒŒํŠธ๋„ˆ์™€ ํ˜‘๋ ฅ

์˜์—… ๊ธฐ์ˆ  ๋ฐ ์†Œํ”„ํŠธ ์Šคํ‚ฌ

  • ํšจ๊ณผ์ ์ธ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜: ํ”„๋ ˆ์  ํ…Œ์ด์…˜, ๋ฐ๋ชจ ๋ฐ ํ™”์ดํŠธ๋ณด๋“œ ๊ธฐ์ˆ  ์ˆ™๋‹ฌ

  • ๊ณ ๊ฐ ์ƒํ˜ธ์ž‘์šฉ: ๋ฐœ๊ฒฌ ๋ฐ ์ด์˜ ์ œ๊ธฐ ์ฒ˜๋ฆฌ ์ „๋žต ๊ฐœ๋ฐœ

์—…๊ณ„ ํ†ต์ฐฐ

  • ๋‹ค์–‘ํ•œ ์‹œ์žฅ ๋ถ„์•ผ: ๋‹ค์–‘ํ•œ ์‚ฐ์—… ์ „๋ฐ˜์˜ ํฅ๋ฏธ๋กœ์šด ์‚ฌ์šฉ ์‚ฌ๋ก€์— ๋Œ€ํ•œ ๊ฒฝํ—˜

MongoDB ์†Œ๊ฐœ

MongoDB๋Š” ๋ณ€ํ™”๋ฅผ ์œ„ํ•ด ๋งŒ๋“ค์–ด์กŒ์Šต๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ๊ณ ๊ฐ๊ณผ ๊ตฌ์„ฑ์›์ด ์‹œ์žฅ์˜ ์†๋„์— ๋งž์ถฐ ํ˜์‹ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํž˜์„ ์‹ค์–ด์ค๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” AI ์‹œ๋Œ€๋ฅผ ์œ„ํ•œ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ์ƒˆ๋กญ๊ฒŒ ์ •์˜ํ•˜์—ฌ, ํ˜์‹ ๊ฐ€๋“ค์ด ์†Œํ”„ํŠธ์›จ์–ด๋กœ ์‚ฐ์—…์„ ์ฐฝ์กฐํ•˜๊ณ , ๋ณ€ํ™”์‹œํ‚ค๊ณ , ํ˜์‹ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ฉ๋‹ˆ๋‹ค. MongoDB์˜ ํ†ตํ•ฉ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ํ”Œ๋žซํผ์€ ์‹œ์žฅ์—์„œ ๊ฐ€์žฅ ๋„๋ฆฌ ๋ณด๊ธ‰๋˜๊ณ  ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ๋ถ„์‚ฐ๋œ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์ž…๋‹ˆ๋‹ค. ์ด ํ”Œ๋žซํผ์€ ์กฐ์ง์ด ๊ธฐ์กด ๋ ˆ๊ฑฐ์‹œ ์›Œํฌ๋กœ๋“œ๋ฅผ ํ˜„๋Œ€ํ™”ํ•˜๊ณ , ํ˜์‹ ์„ ์ˆ˜์šฉํ•˜๋ฉฐ, AI๋ฅผ ๋งˆ์Œ๊ป ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. ํด๋ผ์šฐ๋“œ ๋„ค์ดํ‹ฐ๋ธŒ ํ”Œ๋žซํผ์ธ MongoDB Atlas๋Š” AWS, Google Cloud, Microsoft Azure์—์„œ ๋ชจ๋‘ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์œ ์ผํ•œ ์ „ ์„ธ๊ณ„ ๋ถ„์‚ฐ ๋ฉ€ํ‹ฐํด๋ผ์šฐ๋“œ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์ž…๋‹ˆ๋‹ค.

์ „ ์„ธ๊ณ„ ์˜คํ”ผ์Šค์—์„œ ์ผํ•˜๊ณ  ์žˆ๋Š” MongoDB๋Š” ์•ฝ 60,000๋ช…์˜ ๊ณ ๊ฐ์„ ๋ณด์œ ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์—ฌ๊ธฐ์—๋Š” ํฌ์ถ˜ 100๋Œ€ ๊ธฐ์—…์˜ 75%์™€ AI ๊ธฐ๋ฐ˜ ์Šคํƒ€ํŠธ์—…์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค. ์ด๋“ค์€ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์œ„ํ•ด MongoDB๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์šฐ๋ฆฌ๋Š” ์ด๋“ค๊ณผ ํ•จ๊ป˜ ์†Œํ”„ํŠธ์›จ์–ด์˜ ์ƒˆ๋กœ์šด ์‹œ๋Œ€๋ฅผ ์—ด์–ด๊ฐ€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

MongoDB์—์„œ ์šฐ๋ฆฌ์˜ ๋‚˜์นจ๋ฐ˜์€ Leadership Commitment์ž…๋‹ˆ๋‹ค. ์ด๋Š” ์šฐ๋ฆฌ๊ฐ€ ์–ด๋–ป๊ฒŒ, ๊ทธ๋ฆฌ๊ณ  ์™œ ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๋Š”์ง€, ์„œ๋กœ์—๊ฒŒ ์–ด๋–ป๊ฒŒ ํ–‰๋™ํ•˜๋Š”์ง€, ๊ทธ๋ฆฌ๊ณ  ์–ด๋–ป๊ฒŒ ์„ฑ๊ณตํ•˜๋Š”์ง€๋ฅผ ์•ˆ๋‚ดํ•ฉ๋‹ˆ๋‹ค. ์ด๊ฒƒ์ด MongoDB๋ฅผ MongoDB๋‹ต๊ฒŒ ๋งŒ๋“œ๋Š” ์š”์†Œ์ž…๋‹ˆ๋‹ค.

์šฐ๋ฆฌ๋Š” ๋ชจ๋“  ๊ตฌ์„ฑ์›์˜ ๊ฐœ์ธ์  ์„ฑ์žฅ๊ณผ ๋น„์ฆˆ๋‹ˆ์Šค ์˜ํ–ฅ๋ ฅ์„ ๋†’์ด๊ธฐ ์œ„ํ•ด, ๋ชจ๋“  ์‚ฌ๋žŒ์—๊ฒŒ ์ง€์ง€์™€ ํ’์š”๋กœ์›€์„ ์ œ๊ณตํ•˜๋Š” ๋ฌธํ™”๋ฅผ ๋งŒ๋“œ๋Š” ๋ฐ ํ—Œ์‹ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ง์› ์ปค๋ฎค๋‹ˆํ‹ฐ(affinity groups)์—์„œ๋ถ€ํ„ฐ ๋‚œ์ž„ ์น˜๋ฃŒ ์ง€์›, ๊ทธ๋ฆฌ๊ณ  ๋„‰๋„‰ํ•œ ๋ถ€๋ชจ ํœด๊ฐ€ ์ œ๋„์— ์ด๋ฅด๊ธฐ๊นŒ์ง€, ์šฐ๋ฆฌ๋Š” ๊ตฌ์„ฑ์›์˜ ์›ฐ๋น™์„ ์ค‘์š”ํ•˜๊ฒŒ ์—ฌ๊ธฐ๋ฉฐ, ๊ทธ๋“ค์˜ ์ง์—…์ ยท๊ฐœ์ธ์  ์—ฌ์ •์„ ๋ชจ๋“  ๋‹จ๊ณ„์—์„œ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. MongoDB์—์„œ ์ผํ•˜๋Š” ๊ฒƒ์ด ์–ด๋–ค ๊ฒฝํ—˜์ธ์ง€ ๋” ์•Œ์•„๋ณด๊ณ , ์„ธ์ƒ์— ๋ณ€ํ™”๋ฅผ ๋งŒ๋“œ๋Š” ์šฐ๋ฆฌ์˜ ์—ฌ์ •์— ํ•จ๊ป˜ํ•ด ์ฃผ์„ธ์š”!

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 โ€œbetter 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 MongoDBโ€™s 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. MongoDBโ€™s unified database platformโ€”the most widely available, globally distributed database on the marketโ€”helps 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 customersโ€”including 75% of the Fortune 100 and AI-native startupsโ€”relying on MongoDB for their most important applications, weโ€™re 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. Itโ€™s what makes us MongoDB.

To drive the personal growth and business impact of our employees, weโ€™re 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 itโ€™s 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

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