About the role

Dash AI is an intelligent assistant designed to integrate with your workflow seamlessly. It connects with your work apps to instantly answer work-related questions, generate content, debug code, summarize emails and projects, find documents, and more. It's like having a copilot for work that's just one click away.

We’re on a path to redesigning the future of knowledge sharing at work. We have a unique opportunity to build a category-defining product (and company!) that millions use daily.

We have reached a pivotal stage in our journey:

• After launching our knowledge assistant for work in July, we're now growing our customer base and product rapidly

• We've raised over $9.5m from top investors in Silicon Valley, such as Y Combinator, and founders/operators from companies like Dropbox, Retool, and Twitch.

• We have a small but exceptional team with high talent density from Stanford AI Lab, Meta AI, DoorDash, Instacart, and Amazon.

Joining right now would mean you ride the wave of explosive top-of-the-funnel growth yet get meaningful equity in a pre-series A startup.

Our team's mission is to make humanity omniscient with an AI that can answer any work-related question. In this role, you’ll explore and push the boundaries of what’s possible with ML and how it can improve our daily work lives. As an early engineer to join our team, you'll have the opportunity to materially impact and scale the company's product, team, and culture. You'll get to drive key product initiatives end to end and work alongside exceptionally strong co-workers who learn quickly and ship quality work.

Responsibilities

1. Design, develop, and deploy improvements to our core Dash AI assistant. Examples of projects we're tackling include query understanding, intent classification, retrieval, ranking, fine-tuning LLaMa with QLoRA, and prompt engineering.

2. Write clean, efficient, scalable code, adhering to best practices and industry standards.

3. Perform thorough code reviews and provide constructive feedback to peers.

4. Create and maintain comprehensive documentation for AI-driven features, systems, and processes.

5. Continuously research and stay up-to-date with the latest trends, techniques, and best practices in AI, full-stack development, and software engineering.

6. Contribute to improving product development, proposing and implementing new ideas and technologies.

7. Mentor and guide junior developers, helping them grow professionally and technically.

Requirements

1. Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.

2. 5+ years of full-stack software development experience, strongly focusing on AI-driven products and applications.

3. Experience working on high-impact, customer-facing products or applications.

4. Proficiency in modern programming languages and frameworks like Python or similar.

5. Experience with natural language processing (NLP) and computer vision techniques.

6. Demonstrated expertise in AI and machine learning concepts, techniques, and tools.

7. Experience with RESTful API design and development.

8. Strong understanding of databases and data modeling, including experience with SQL and NoSQL databases.

9. Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud.

10. A proactive and results-oriented mindset with a strong sense of ownership and accountability.

What you’ll love about us

We're working hard to create an environment where people feel empowered to do their best work, make a significant impact, and enjoy what they do. As an early employee, you'll have a massive say in defining the engineering organization, our vision, and our culture. You'll also have uncapped opportunities for growth, learning, and exposure to different business areas.

Here are Dashworks' essential benefits:

• A competitive salary - regularly reviewed to make sure you're always getting what you deserve.

• Meaningful pre-Series A share options - you'll own a part of Dashworks and share in our success

• Healthcare, vision, dental, and mental health coverage

• Home office setup + hardware/software coverage: get a laptop and whatever hardware, software, or services you need and are reasonable to do your job

• Option to work from our sunny loft in SOMA in SF. We'll cover travel expenses if you plan to come to work in person.

• Unlimited PTO

• Quarterly team retreats

Interview Process

1. 30-minute chat for us to learn about your ideal role and past technical achievements and for you to learn about our vision, current stage, and next milestones

2. Two 1-hour long technical interviews involving system design, coding, and debugging

3. 30-minute interview to see if we have a mutual cultural fit

4. Chatting with two of your references: your previous coworkers/managers. We offer you to chat with our references as well: investors, advisors, customers

5. Offer: 3 alternatives with a range of equity and base compensation options. We’ll also answer all your questions about business, finances, cap table, engineering, and anything else you need to make this life-changing decision (for both you and us!)

We move fast through the entire process and aim to complete all the above steps within 3-5 days. We will make an offer to only exceptional candidates whom we have strong conviction in their technical skills and fit for the role.