Snowflake | Forward Deployed Engineer, Product Manager | Menlo Park, CA | Warsaw, Poland | London, UK | ONSITE
I’m part of Snowflake’s Applied AI / Forward Deployed Engineering team, and we’re hiring for multiple roles on the team.
We work directly with strategic customers to design, build, deploy, and improve production AI systems on Snowflake. That includes LLM applications, RAG and agentic workflows, evaluation frameworks, guardrails, observability, and production iteration using Snowpark, Cortex, and Snowflake’s native AI capabilities.
For the FDE role, we’re looking for strong engineers who can build and ship customer-facing AI systems end to end, especially if you’ve worked on LLM apps and care deeply about evals and quality. For the Senior role, we’re looking for someone who can lead multi-engineer AI engagements, mentor other engineers, and still be hands-on in architecture and implementation. The roles are customer-facing and involve travel, including at least 25% onsite time with strategic customers.
If you like working in ambiguity, building real AI systems instead of demos, and partnering closely with customers to get things into production, these roles are a good fit.
Snowflake | Forward Deployed Engineer | Menlo Park, CA | ONSITE
I’m part of Snowflake’s Applied AI / Forward Deployed Engineering team, and we’re hiring for two roles: Forward Deployed Engineer and Senior Forward Deployed Engineer.
We work directly with strategic customers to design, build, deploy, and improve production AI systems on Snowflake. That includes LLM applications, RAG and agentic workflows, evaluation frameworks, guardrails, observability, and production iteration using Snowpark, Cortex, and Snowflake’s native AI capabilities.
For the FDE role, we’re looking for strong engineers who can build and ship customer-facing AI systems end to end, especially if you’ve worked on LLM apps and care deeply about evals and quality. For the Senior role, we’re looking for someone who can lead multi-engineer AI engagements, mentor other engineers, and still be hands-on in architecture and implementation.
Both roles are customer-facing and involve travel, including at least 25% onsite time with strategic customers.
If you like working in ambiguity, building real AI systems instead of demos, and partnering closely with customers to get things into production, these roles are a good fit.
Snowflake | Forward Deployed Engineer | Menlo Park, CA | ONSITE
I’m part of Snowflake’s Applied AI / Forward Deployed Engineering team, and we’re hiring for two roles: Forward Deployed Engineer and Senior Forward Deployed Engineer.
We work directly with strategic customers to design, build, deploy, and improve production AI systems on Snowflake. That includes LLM applications, RAG and agentic workflows, evaluation frameworks, guardrails, observability, and production iteration using Snowpark, Cortex, and Snowflake’s native AI capabilities.
For the FDE role, we’re looking for strong engineers who can build and ship customer-facing AI systems end to end, especially if you’ve worked on LLM apps and care deeply about evals and quality. For the Senior role, we’re looking for someone who can lead multi-engineer AI engagements, mentor other engineers, and still be hands-on in architecture and implementation.
Both roles are customer-facing and involve travel, including at least 25% onsite time with strategic customers.
If you like working in ambiguity, building real AI systems instead of demos, and partnering closely with customers to get things into production, these roles are a good fit.
What I understand is Codex takes more time to gather context to make the relevant changes; with more context it may give a more precise response than Claude Code.
With Claude Code, I can 'tune' the prompt by feeling how much context the model needs to perform it's task. I can mention more files or tell it to read more code as needed.
With one hour of experience of Codex CLI, every single prompt - even the most simple ones - are 5+ minutes of investigation before anything gets done. Unbearable and totally unnecessary.
It has the same context. It does not take that long to ingest a bunch of files. OpenAI is just not offering the same level of performance, probably due to oversubscription.
I have used Github Copilot extensively within VS Code for several months. The autocomplete - fast and often surprisingly accurate - is very useful. My only complaint is when writing comments, I find the completions distracting to my thought process.
I tried Gemini Code Assist and it was so bad by comparison that I turned it off within literally minutes. Too slow and inaccurate.
I also tried Codestral via the Continue extension and found it also to be slower and less useful than Copilot.
So I still haven't found anything better for completion than Copilot. I find long completions, e.g. writing complete functions, less useful in general, and get the most benefit from short, fast, accurate completions that save me typing, without trying to go too far in terms of predicting what I'm going to write next. Fast is the key - I'm a 185 wpm on Monkeytype, so the completion had better be super low latency otherwise I'll already have typed what I want by the time the suggestion appears. Copilot wins on the speed front by far.
I've also tried pretty much everything out there for writing algorithms and doing larger code refactorings, and answering questions, and find myself using Continue with Claude Sonnet, or just Sonnet or o1-preview via their native web interfaces, most of the time.
I see, perhaps with Gemini because the model is larger it takes longer to generate the completions. I would expect with a larger model it would perform better on larger codebases. It sounds like for you, it's faster to work on a smaller model with shorter more accurate completions rather than letting the model guess what you're trying to write.
The Aider leaderboards seem like a good practical test of coding usefulness: https://aider.chat/docs/leaderboards/. I haven't tried Cursor personally but I am finding Aider with Sonnet more useful that Github Copilot and its nice to be able to pick any model API. Eventually even a local model may be viable. This new Gemini model does not rank very high unfortunately.
Thanks for the link. That's unfortunate, though perhaps the benchmarks will be updated after this latest Gemini release. Cursor with Sonnet is great, I'll have to give Aider a try as well.
It's on the leaderboard, it's tied with qwen 2.5 72b and far below SOTA of o1, claude sonnet, and deepseek. (also below very old models like gpt-4-0314 lol)
I know you aren't necessarily talking about in-editor code assist but something about in-editor AI cloud code assist makes me super uncomfortable.
It makes sense I need to be careful not to commit secrets to public repositories but now I have to avoid not only saving credentials into a file but even to paste them by accident into my editor?
I tried it briefly and didn't like it. On the other hand, I found Gemini pro better than sonnet or 4o at some more complex coding tasks (using continue.dev)
I tried Cursor the other day. It was actually pretty cool. My thought was, I'll open this open source project and use it to grok my way around the codebase. It was very helpful. After that I accidentally pasted an API secret into the document; had to consider it compromised and re-issued the credential.
Carta | Software Engineer, Engineering Manager, Data Scientist | SF, Palo Alto, Seattle, New York, Rio, Waterloo | ONSITE (after COVID), VISA | FULLTIME
Carta is hiring experienced software engineers at the Senior, Staff, Senior Staff, and Principal levels in San Francisco, Palo Alto, Seattle, New York City, Waterloo, and Rio de Janeiro to build products and services powered by Carta’s ownership graph: the central registry of asset ownership across the globe.
Carta recently raised a $500M Series G led by Silver Lake. We launched CartaX, a platform for recurring secondary auctions for private companies enabling liquidity for startup employees.
Our stack is Python (Python 3!), Django, React, Postgres, Redis. Note the positions will be on-site but during the current COVID crisis we are remote.
We offer competitive benefits:
* Health, dental, vision, and life insurance
* Unlimited PTO
* US & Rio: 401k matching program
* Canada: RRSP matching
* US & Rio: Commuter benefits
* Catered lunch and unlimited snacks
* Cell phone stipend
* Unlimited reimbursement for work related books
Carta | Software Engineer, Engineering Manager, Data Scientist | SF, Palo Alto, Seattle, New York, Rio, Waterloo | ONSITE (after COVID), VISA | FULLTIME
Carta is hiring experienced software engineers at the Senior, Staff, Senior Staff, and Principal levels in San Francisco, Palo Alto, Seattle, New York City, Waterloo, and Rio de Janeiro to build products and services powered by Carta’s ownership graph: the central registry of asset ownership across the globe.
Carta recently raised a $500M Series G led by Silver Lake. Earlier in the year we launched CartaX, a platform for recurring secondary auctions for private companies enabling liquidity for startup employees.
Our stack is Python (Python 3!), Django, React, Postgres, Redis. Note the positions will be on-site but during the current COVID crisis we are remote.
We offer competitive benefits:
* Health, dental, vision, and life insurance
* Unlimited PTO
* US & Rio: 401k matching program
* Canada: RRSP matching
* US & Rio: Commuter benefits
* Catered lunch and unlimited snacks
* Cell phone stipend
* Unlimited reimbursement for work related books
Carta | Software Engineer, Engineering Manager, Data Scientist | SF, Palo Alto, Seattle, New York, Rio, Waterloo | ONSITE (after COVID), VISA | FULLTIME
Carta is hiring experienced software engineers at the Senior, Staff, Senior Staff, and Principal levels in San Francisco, Palo Alto, Seattle, New York City, Waterloo, and Rio de Janeiro to build products and services powered by Carta’s ownership graph: the central registry of asset ownership across the globe.
Carta recently raised a $500M Series G led by Silver Lake. Earlier in the year we launched CartaX, a platform for recurring secondary auctions for private companies enabling liquidity for startup employees.
Our stack is Python (Python 3!), Django, React, Postgres, Redis. Note the positions will be on-site but during the current COVID crisis we are remote.
We offer competitive benefits:
* Health, dental, vision, and life insurance
* Unlimited PTO
* US & Rio: 401k matching program
* Canada: RRSP matching
* US & Rio: Commuter benefits
* Catered lunch and unlimited snacks
* Cell phone stipend
* Unlimited reimbursement for work related books
Carta | Software Engineer, Engineering Manager, Data Scientist | SF, Palo Alto, Seattle, New York, Rio, Waterloo | ONSITE (after COVID), VISA | FULLTIME
Carta is hiring experienced software engineers at the Senior, Staff, Senior Staff, and Principal levels in San Francisco, Palo Alto, Seattle, New York City, and Rio de Janeiro to build products and services powered by Carta’s ownership graph: the central registry of asset ownership across the globe.
Last year we raised a $180mil Series F led by Andreessen Horowitz. This year we launched CartaX, a platform for recurring secondary auctions for private companies enabling liquidity for startup employees.
Our stack is Python (Python 3!), Django, React, Postgres, Redis. Note the positions will be on-site but during the current COVID crisis we are remote.
We offer competitive benefits:
* Health, dental, vision, and life insurance
* Unlimited PTO
* US & Rio: 401k matching program
* Canada: RRSP matching
* US & Rio: Commuter benefits
* Catered lunch and unlimited snacks
* Cell phone stipend
* Unlimited reimbursement for work related books
Carta | Software Engineer, Engineering Manager, Data Scientist | SF, Palo Alto, Seattle, New York, Rio, Waterloo | ONSITE (after COVID), VISA | FULLTIME
Carta is hiring experienced software engineers at the Senior, Staff, Senior Staff, and Principal levels in San Francisco, Palo Alto, Seattle, New York City, and Rio de Janeiro to build products and services powered by Carta’s ownership graph: the central registry of asset ownership across the globe.
Last year we raised a $180mil Series F led by Andreessen Horowitz. This year we launched CartaX, a platform for recurring secondary auctions for private companies enabling liquidity for startup employees.
Our stack is Python (Python 3!), Django, React, Postgres, Redis. Note the positions will be on-site but during the current COVID crisis we are remote.
We offer competitive benefits:
* Health, dental, vision, and life insurance
* Unlimited PTO
* US & Rio: 401k matching program
* Canada: RRSP matching
* US & Rio: Commuter benefits
* Catered lunch and unlimited snacks
* Cell phone stipend
* Unlimited reimbursement for work related books
I’m part of Snowflake’s Applied AI / Forward Deployed Engineering team, and we’re hiring for multiple roles on the team.
We work directly with strategic customers to design, build, deploy, and improve production AI systems on Snowflake. That includes LLM applications, RAG and agentic workflows, evaluation frameworks, guardrails, observability, and production iteration using Snowpark, Cortex, and Snowflake’s native AI capabilities.
For the FDE role, we’re looking for strong engineers who can build and ship customer-facing AI systems end to end, especially if you’ve worked on LLM apps and care deeply about evals and quality. For the Senior role, we’re looking for someone who can lead multi-engineer AI engagements, mentor other engineers, and still be hands-on in architecture and implementation. The roles are customer-facing and involve travel, including at least 25% onsite time with strategic customers.
If you like working in ambiguity, building real AI systems instead of demos, and partnering closely with customers to get things into production, these roles are a good fit.
* Senior Forward Deployed Engineer, Menlo Park, CA: https://careers.snowflake.com/us/en/job/SNCOUSA253CD7A2E6945...
* Forward Deployed Engineer, Warsaw, Poland: https://careers.snowflake.com/us/en/job/SNCOUS7EFCFE1247594E...
* Staff Product Manager, London, UK: https://careers.snowflake.com/us/en/job/SNCOUSCACA807AEC0548...