Hey everyone! I wanted to share about Sigma Computing (Series C) as a really good startup to join. We’re trying to hire aggressively so I wanted to help out. Currently ~150 employees trying to scale to 300+ Details about Sigma. We have a strong technical team (CTO/Cofounder used to be CTO of Salesforce, VP Eng is from Lyft/Facebook, VP of Product from Google, Backend Director is from Databricks, Frontend Director is from Uber, Director of Product Engineering is from Facebook) plus a number of engineers from FAANGMULA. We also share some of the same of board members as Snowflake. We got product market fit earlier this year with our newest release. So its one of the best time to join Linked to the Series C announcement by Mike Speiser below. He helped incubate/start Snowflake and Sigma and a few other unicorns. We’re going to scale fast this upcoming year. (Lots of really exciting features coming soon too.) I’m expecting a lot of upside! https://www.linkedin.com/pulse/sigmas-radically-better-take-business-intelligence-mike-speiser/ One other nice thing is that they let us sell a portion of our vested shares at the preferred price at each funding. So you won’t have to wait forever to IPO to sell a portion. https://carta.com/blog/tender-offer-faq/ Keep in mind there’s always a risk going for a startup but if you’re ok with taking a chance why not see how it goes. (High impact projects, raises/promotions, no politics 🚀) If we don’t scale as a rocket ship then you can join FAANG after. (IMO this is a small risk with a chance for a lot of upside!) But remember to always try to get multiple offers and negotiate! Just keep Sigma as one of the top startups in your list to get an offer from. You can decide after if it’s the right for you. Our offer should be comparable. Our offer won’t be an exact match to FAANG since options for startups are usually a bit lower but there’s at least a 10X-20X upside to the options. (Look at all the old Snowflake/Databricks/Lacework posts when they were still Series C there were a lot of people who missed out on millions because their offer was lower) Sigma will become the next deca unicorn! DM for referral or apply directly on our website! TC: Future multi millionaire 😉 (Too easy to identify me so let’s just leave it as that. If Sigma does well then… FIRE 🔥)
Every startups says that “I am different”
Btw charts are ugly in the dashboard. Improve the UI/UX
We’re definitely still trying to improve on the charts! One of our upcoming focus. Our main focus has been making it super easy to deep dive into their data and do ad hoc analysis. (which no other tool does well) Sigma has a lot of key features coming soon that’ll make us a bigger differentiator. I might be biased on Sigma heh. But I believe in us! One of the things that’s different about us is we make it so that users don’t need to write SQL and we make it so that you can do 90% of what complex SQL does via the UI. I’ve seen a lot of customers who say they saved at least a week of time using Sigma when previously writing the SQL would have taken much longer. But our main target is the business users and letting them explore data directly on the cloud DWH. There are so many excel users out there and with the move to the cloud. Excel just can’t support that large amount of data. Which is why Sigma is so compelling to companies that has tried out Sigma. Data scientist gets way too many asks and so they want to allow finance and business analysts or marketing department answer their own questions without needing to constantly export data from the DWH and send it to others for them to explore in excel. (We also help give permission controls on who get access to what and allow the Data Scientist to do data modeling for everyone)
Good luck. I am a data scientist and work closely with BIE so I have very strong sense of charts/dashboards. I often ask BIE to fix the dashboards up to the standards if it looks off to me
The BI space is one of the most crowded Magic quadrants in all of tech. I appreciate the enthusiasm but it’s very hard to stand out in this sector.
Agreed there is definitely a lot players in the BI space but we’ve been winning a majority of our deals. And we’re targeting a different segment that other tools haven’t even thought about. The business users. Sigma is probably going to shape how companies use BI tools in the future Current products would need to re-architecture at least 50% of their product to even compete with us. I bet we’re going to see a consolidation of tools in the future. And with the upcoming key features it’s definitely going get even better for us. Our customers love us when switching from other BI tools so I truly believe we’ll win in this space. Similar to what happened with Snowflake against Redshift/BigQuery etc There’s still a risk when joining. But I am very excited about Sigma because of our close connections with Snowflake (we’re basically going to ride on their success) and our product is awesome.
I’m rooting for you. It’s just very hard to win in a crowded, mature, and differentiated magic quadrant. Snowflake is great, but they aren’t the only one who can pull along a BI vendor. In the BI space Quicksite rides on AWS, PoweBI on Azure, Tableau on Salesforce, etc.
Stopped reading at “somebody from Salesforce is the CTO”
He’s actually great and super smart! He’s one of my favorite people to work with!
So are you guys worth $3 billion?
Are you snowflake only or also runs on Databricks sql, redshift, etc. I need a visual query tool that works.
We support Snowflake, Redshift, Postgres, BigQuery and we’re adding Databricks support in the upcoming year!
If you won’t give tc at least give equity numbers
Check out this post! "Doordash vs Sigma Computing (Software Engineering Career)" https://us.teamblind.com/s/SGMWfe8z That post shows someone with 1.5 YOE who got an offer from Sigma at Series B. Just think of it as if you have more YOE you’ll have more equity % With Series C raise they increased everyone’s salary and all base offers were increased. Note startup does have faster raises/promotions because of high impact projects. Salary should go up faster. (Tho expect for C increased base salary and lower equity % since higher valuation and dilution) As with most startups your offer won’t be exact with FAANG but in the end it’ll be much greater than FAANG similar to all the people who joined Databricks/Snowflake earlier (and are now multi millionaires). Also note between our Series B and C our stock price went up by >20X
Hey Sigma at least share your equity as % points and your seniority level otherwise gtfo. This is Blind and there’s a tax.
So it's a spreadsheet plugin for a data warehouse? What happens is SnowFlake and Databricks release the same feature
That’s a great point! Tho you could also say the same for any other product like Snowflake. They were built on top of AWS/GCP/Azure. Amazon built Redshift and Google built BigQuery. In the end Snowflake still came out on top with their huge exit. As Mike Speiser mentioned it’s actually really hard for huge companies to execute these technical problems well and have an innovative solution. They usually build only the current things better which isn’t so great. Which is why so many people still use excel/spreadsheets+ for the last 20 years. We’re positioned well with our highly technical team and we have many key features coming really soon. Others can definitely try to build the same product. But we’re always going to keep innovating. Plus we have a really close connection with Snowflake! They had invested a large amount in our C round. We also share the same board members as Snowflake so they definitely want us to do well so they benefit too 😉
This is just my opinion so take it with a grain of salt. I think there will be two likely scenarios for Sigma employees 1. We do well hit all our numbers have a big exit (20X+ upside) and become multi millionaires or… 2. (Worst case scenario) we don’t execute as well as we wanted, get acquired by ❄️ with 3X+ upside and become Snowflake employees with RSUs instead and go from there But way more likely for the first scenario
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