Job Description
Head of Engineering
- Title of Role: Head of Engineering
- Location: San Francisco, onsite
- Company Stage of Funding: Seed — Data, Software Development
- Office Type: Onsite
- Salary: $200K–$400K
We're representing a dynamic startup that is accelerating the transition to specialized language models. This company is focused on leveraging cutting-edge technology to enhance data and software development processes. With a small, agile team, they are poised to make a significant impact in the AI, data, and developer tools industries.
What You Will Do
- Lead and mentor a small engineering team, fostering a culture of innovation and collaboration.
- Drive the development of specialized language models, ensuring high performance and scalability.
- Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions.
- Implement best practices in software development, including code reviews, testing, and deployment.
- Utilize data-driven metrics to assess team performance and project outcomes, making adjustments as needed.
- Participate in architectural discussions and contribute to the overall technical vision of the company.
Ideal Candidate Background
- 4-10 years of experience in software engineering, with a focus on leading teams.
- Proven track record in developing and deploying software solutions in a fast-paced environment.
- Strong understanding of engineering principles and best practices in software development.
- Experience with AI or data-driven applications is highly desirable.
Preferred
- Familiarity with specialized language models or related technologies.
- Experience in a startup environment, particularly in early-stage companies.
- Knowledge of agile development methodologies and project management tools.
Compensation and Benefits
The base salary for this role ranges from $200K to $400K, along with meaningful equity options that provide flexibility on the cash/equity split. This is a unique opportunity to join a pioneering team at the forefront of AI and data innovation.
