Forward Deployed Engineer, Sourcegraph
$136-240k
+ Equity
More information about location
4 days a week in office
Universal code search and code intelligence for developers
Open for applications
Universal code search and code intelligence for developers
101-200 employees
Open for applications
$136-240k
+ Equity
More information about location
4 days a week in office
101-200 employees
Company mission
To make it so everyone, in every community, in every country, and in every industry can create products using the best technology.
Role
Who you are
- You are a driven engineer who thrives with customers, loves working with cutting-edge technology, and is excited about shaping the future of developer tools:
- You're passionate about developer tools and solving complex technical challenges
- You excel in fast-paced, changing environments and enjoy working directly with customers
- You're comfortable balancing technical work with relationship building and strategic thinking
- You're excited about the prospect of frequent travel and intense on-site engagements
- You're eager to learn and adapt to diverse technologies and business environments
- You enjoy the idea of having a direct impact on product development and company growth
- You have a strong software engineering background with hands-on coding experience
- You possess excellent problem-solving skills and ability to think on your feet
- You have strong communication skills, both technical and non-technical
- You have experience with developer tools, code search, and AI-assisted coding
What the job involves
- As a Forward Deployed Engineer (FDE) at Sourcegraph, you’ll report directly to our CEO and get to work with the most successful and sophisticated software companies in the world (our customers) and build code AI capabilities that all of their devs love and use in ways far beyond anything else out there
- Your code will be informed by what our biggest customers need and will ship to all customers and users, so you must have exacting standards
- You’ll be working directly with our biggest customers, so you need to know how to work with eng leaders and devs and pitch and sell and react on the fly
- You’ll learn and do more in your first 6 months of being an FDE here than you will anywhere else
- 📅 Within one month, you will…
- Get yourself intimately familiar with our entire tech stack and product feature set
- Shadow experienced team members FDE, Engineering, and Technical Success to learn about customer engagements
- Learn how to pitch our product and familiarize yourself with our go-to-market motion to understand how FDEs fit into the larger customer success strategy
- Get deployed to your first customer to lead an engagement from end-to-end
- 📅 Within six months, you will…
- Work with our largest and most sophisticated customers, building new capabilities and improving existing capabilities in our product
- Identify and capitalize on new opportunities across all of our customers
- Contribute to the refinement and scaling of the FDE program based on your experiences
- Become a go-to expert for complex customer integrations and technical challenges
- Grow our customers' love for Sourcegraph
Application process
- Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook)
- It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
- We expect the interview process to take 3.5 hours in total
- 👋 Introduction Stage - we have initial conversations to get to know you better…
- [30m] Recruiter Screen
- [30m] Hiring Manager Screen with CEO/Co-founder
- 🧑💻 Team Interview Stage - we then schedule an all-day onsite interview to delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
- [60m] Coding exercise
- [45m] Cross-functional team collaboration / Values
- [45m] Decomp interview with CEO/Co-founder
- We check references and conduct your background check
- Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process
Our take
Inspired by code search engines like OpenGrok, Livegrep, and Google Code Search, Sourcegraph has developed a robust tool that allows developers to swiftly search through code across an entire organization, including third-party libraries and any programming language. While similar systems are used by large-scale organizations, Sourcegraph aims to make this powerful code search capability accessible to every developer.
Searching through extensive codebases, especially during debugging, can be time-consuming and tiresome. Sourcegraph streamlines this process, saving time and reducing stress for both individuals and businesses. The platform offers a free version for all developers, while revenue is generated through enterprise-specific features tailored for large corporations.
Recently the company launched Cody, an open-source AI tool that enhanced coding practices. Utilizing models like GPT-4 Turbo and StarCoder, Cody offers smart code suggestions and contextual insights within popular code editors. As software development continues to evolve, Cody exemplifies Sourcegraph's dedication to driving progress and shaping the future of development with innovative AI solutions.
Steph
Company Specialist at Welcome to the Jungle
Insights
-20% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2021
$125m
SERIES D
Dec 2020
$50m
SERIES C
Total funding: $223m
Company HQ
SoMa, San Francisco, CA
Leadership
Quinn Slack
(CEO)Previously co-founded Blend Labs, an Enterprise Technology company with ~500 employees dedicated to improving home lending. They also worked at Palantir Technologies, where they created a technology platform to help two of the top five U.S. banks recover from the housing crisis.
Beyang Liu
(CTO)Previously a Software Engineer at Palantir Technologies, where they developed new data analysis software on a small, customer-facing team working with Fortune 500 companies. Beyang studied Computer Science at Stanford, where they published research in probabilistic graphical models and computer vision at the Stanford AI Lab.
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