Job Description

60000 - 100000 a year (US Dollars)

Description

Location

While we are an all-remote company and hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with PST for at least 30 hours/week.

Preferred locations:

• Remote - San Francisco

Why this job is exciting

Imagine being part of a team where your work will redefine the coding experience for developers around the world. As a Software Engineer on the Cody Core team, you will work on Cody, an AI coding assistant that lives in your editor. You will work at the forefront of integrating advanced AI technologies into everyday coding practices. This role offers a unique opportunity to innovate and push the boundaries of what an AI coding assistant can achieve, all while working with a talented and passionate team. You'll have the chance to see your contributions directly impact developers, enhancing their productivity and transforming how they interact with their code.

Within one month, you will…

• Familiarize yourself with Cody, understanding the architecture and the problems it solves for our users.
• Start contributing to our current focus areas by working on tasks related to the end-to-end user experience.
• Engage with your team members, learning from their experiences and sharing your insights to contribute to the project's direction.

Within three months, you will…

• Be contributing actively to the world’s best coding assistant.
• Take ownership of smaller features and implement them, with a focus on improving user engagement and satisfaction.
• Begin to influence the project's future direction by providing insights based on your work and user feedback, collaborating closely with product management and design teams.

Within six months, you will…

• Be fully ramped up and able to anticipate the needs of Cody users.
• Establish yourself as a key contributor to the team, known for your expertise in both the technical and product aspects of our work.
• Participate in initiatives that push the boundaries of what Cody can do, making coding more accessible and enjoyable for developers everywhere.

About you

You are a full-stack software engineer with at least 2 years of industry experience. You are comfortable with frontend and backend work as needed, can pick up frameworks quickly, and can deliver high-quality work.

Beyond your technical proficiency, you are a forward-thinking and adaptive contributor, ready to navigate a complex project. Your vision extends beyond code: you are passionate about the broader impact of your work on making coding accessible and enjoyable for a diverse global community. You actively seek out opportunities to challenge the status quo, drive meaningful change, and foster an inclusive, high-performing team culture. You are an experienced remote/async worker.

• 2–5 years experience as a full-stack engineer
• Experience with Typescript or Go is required (both preferred)
• Familiarity with code intelligence tools and AI-assisted development platforms such as Sourcegraph Cody, GitHub Copilot, or similar
• Alignment with our values
• Growth mindset

Nice to haves:

• Experience writing extensions for one or more of the following: Visual Studio Code, JetBrains IDEs, Visual Studio, or Eclipse
• Familiarity with compilers, language server protocols, code intelligence, or related technologies
• Experience working closely with Product and Design teams
• Previous role in a startup environment, comfortable with rapid iteration and adaptable to shifting priorities

Level

This job is an IC2. You can read more about our job leveling philosophy in our Handbook.

Compensation

We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation, our compensation ranges are visible to every single Sourcegraph teammate.

To determine your salary, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure we’re always paying above market regardless of where you live in the world. Both U.S. and international locations are divided into one of four zones, determined by the cost of labor index for each area. The starting salary for a successful candidate will be based on level, job-related skills, experience, qualifications, and location zone. Please note that these salary ranges may be adjusted in the future.

The target compensation for this role is $145,000 USD base.

Please speak with a recruiter for additional information regarding zone locations. In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.

Interview 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 5.5 hours in total.

Introduction Stage - we have initial conversations to get to know you better…

• [30m] Recruiter Screen
• [15m] Hiring Manager Intro - Erika

Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…

• [60m] Pairing Exercise
• [45m] Code Walkthrough
• [60m] Resume Deep Dive
• [60m] Cross-functional Team Collaboration Interview

Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically…

• [30m] Values
• [30m] Leadership with 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.

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