138.5K
NODatabricks asked this problem #faang #dsa #javascript #systemdesign
@notaboringdeveloper
#Databrick
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THHere are the top 7 AI roles in 2026 with real salary ranges and companies hiring right now:
1. Technical Developer Advocate
$200K–$320K+
Help developers adopt AI platforms. Build demos, tutorials, code examples.
Hiring: Google, LangChain, Anthropic, PayPal, Databricks, NVIDIA.
2. AI Researcher
$250K–$500K+
You push the boundaries of what models can do. Focus on fine-tuning, safety, evaluation, and research-heavy experimentation.
Hiring: OpenAI, Meta, Cohere.
3. AI Engineer
$200K–$350K+
Build AI features. RAG systems, agents, LLM integrations in production.
Hiring: PayPal, Capital One, Databricks.
4. Technical Program/Account Manager
$250K–$400K+
Own post-adoption success. Help customers scale and optimize AI systems.
Hiring: PayPal, Alibaba Cloud, AssemblyAI, Snowflake, Anthropic.
5. AI Product Manager
$200K–$400K+
Define what gets built. Translate AI capabilities into products users need.
Hiring: NVIDIA, Uber, Google DeepMind, Scale AI.
6. AI Infrastructure Engineer
$180K–$350K+
Build systems that run AI at scale. Inference, GPUs, distributed systems.
Hiring: Perplexity, Baseten, DoorDash, Adobe, xAI.
7. Forward Deployed Engineer
$180K–$300K+
Work directly with customers. Build custom AI solutions for real-world problems.
Hiring: Handshake, Weights & Biases, LangChain, Cognition, Rippling, Galileo, xAI.
@the.datascience.gal
164.7K
FO“The data architecture inside most organizations is an absolute mess.”
At #FortuneBrainstormAI, Databricks CEO Ali Ghodsi said most organizations are frustrated with the reality of AI.
“Most organizations are frustrated. There’s a big gap between the CEO, leadership, and the board,” he said.
🔗 Click the link in the bio to read more.
@fortunemag
21.7K
DADatabricks CEO and co-founder Ali Ghodsi joined @Bloomberg Tech to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams.
@databricksinc
115.2K
ECMicrosoft fabric is just Databricks from Temu. @irungracepace showing up for the last quarter second 😂
@eczachly
22.2K
HUStart learning “Databricks” to upskill
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#dataengineering #data #dataengineer #datasciencejobs #dataanalytics
{hustle, corporate, work, women in tech, working women, fyp, data engineering job, skill upgrade, job}
@hustleuphoney
19.4K
BL"Just using AI as the goal doesn't make sense to me."
Databricks co-founder Arsalan Tavakoli-Shiraji tells @TomMackenzieTV why he focuses on "boring AI" to drive meaningful business output.
Tap the link in our bio for more.
@bloombergtv
765
THDatabricks is all the rage now. Save this if you’re also preparing for a Databricks certification
@thinking.mori
830
BGDatabricks CEO Ali Ghodsi explains why the LLM you’re using matters less than the data you own.
#ai #tech #databricks #alighodsi #innovation
@bg2clips
330.7K
ANIf you can’t explain these 20 terms, you’re not a Data Engineer yet. 🛑
Data isn’t just about numbers; it’s about the infrastructure that powers them. Swipe through to level up your fundamentals. 📈
Don't forget to save this—your future self will thank you. 💾
#DataScience #DE #TechCommunity #Azure #Databricks
@analyst_shubhi
1.6K
PRDatabricks & Scale AI: explaining billion-dollar startups so you can pick the best company to join! save this if you’re researching startups to join or invest in 🔖
𝗗𝗔𝗧𝗔𝗕𝗥𝗜𝗖𝗞𝗦
💰 $𝟭𝟯𝟰𝗕 𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 | $𝟱𝗕 𝗿𝗮𝗶𝘀𝗲𝗱 (𝗦𝗲𝗿𝗶𝗲𝘀 𝗟)
𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Every major company is sitting on a goldmine of proprietary data. But most of it is trapped in silos, unusable for AI. You can’t build powerful AI agents on data you can’t actually access or trust.
𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: A unified Data + AI platform that lets companies store, process, and deploy AI models directly on top of their own data. Over 60% of the Fortune 500 runs on it.
𝗪𝗵𝗮𝘁’𝘀 𝘂𝗻𝗶𝗾𝘂𝗲: They invented the “lakehouse” architecture, combining the flexibility of a data lake with the reliability of a data warehouse. It became the industry standard.
━━━━━━━━━━━
𝗦𝗖𝗔𝗟𝗘 𝗔𝗜
💰 $𝟮𝟵𝗕 𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 | $𝟭𝟰.𝟯𝗕 𝗿𝗮𝗶𝘀𝗲𝗱 (𝗠𝗲𝘁𝗮 𝗮𝗰𝗾𝘂𝗶𝗿𝗲𝗱 𝟰𝟵%)
𝗣𝗿𝗼𝗯𝗹𝗲𝗺: AI models are only as good as the data used to train them — and turning raw, messy real-world data into clean, labeled, high-quality training sets at scale is hard.
𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: The infra layer for AI training data: data labeling, model evaluation, RLHF pipelines, and enterprise AI deployment.
𝗪𝗵𝗮𝘁’𝘀 𝘂𝗻𝗶𝗾𝘂𝗲: Scale built the evaluation and alignment tooling that tells AI labs how good their models actually are. That’s become a separate, critical business as frontier labs race to measure model quality.
━━━━━━━━━━━
𝘁𝗵𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲:
think of Databricks like the power grid ⚡ — the infrastructure every company needs to run AI at all.
Scale AI is the fuel refinery 🛢️ — turning raw crude (messy data) into the high-quality training fuel that actually makes the models smart.
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save this if you’re researching startups to join or invest in!
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silicon valley startups, startups to join, career tips, tech jobs, startup funding, AI startups 2026, companies that could make you a millionaire, AI infrastructure, data and AI, enterprise AI, what is a data lakehouse, what does Scale AI do, startup breakdown, how to pick which startup to go to, #NVIDIAGTC 2026
@productplaybook_
12.8K
JE🚀 Announcing Databricks integration with PyCharm Professional!
Build your data and AI apps on the Databricks Data Intelligence Platform directly within a professional Python IDE. Write code more efficiently using powerful code assistance and run it in the cloud without extra configurations!
* Connect to your cluster via PyCharm.
* Run Python scripts on a remote cluster.
* Run Jupyter notebooks or Python scripts as workflows.
* Synchronize project files to your Databricks workspace.
Watch the plugin in action and install it by visiting 🔗 http://jb.gg/pc-db 🔗
#PyCharm #Databricks #DataAnalytics
@jetbrains
✨ Guida alla Scoperta #Databrick
Instagram ospita thousands of post sotto #Databrick, creando uno degli ecosistemi visivi più vivaci della piattaforma.
L'enorme raccolta #Databrick su Instagram presenta i video più coinvolgenti di oggi. I contenuti di @analyst_shubhi, @fortunemag and @notaboringdeveloper e altri produttori creativi hanno raggiunto thousands of post a livello globale.
Cosa è di tendenza in #Databrick? I video Reels più visti e i contenuti virali sono in evidenza sopra.
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📹 I video verticali di alta qualità (9:16) funzionano meglio per #Databrick - usa una buona illuminazione e audio chiaro
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Esplorare Databrick#what is databricks#databricks careers#databricks certification#user defined functions in azure databricks#databricks#azure databricks#databricks learning#databricks training