Software Engineer

Culture

We treat your time as the scarce asset that it is. We respect people being heads-down and having the time to get into a flow. Distractions and context switching are things we work to minimize. We have meetings for specific purposes, and leverage async channels when appropriate.

Mash has an open and direct culture. We believe that not making a decision is a decision — and a terrible one at that. We have strong conviction and a bias for action. We can agree to disagree, and move forward after reviewing the details. As we learn, we will reevaluate, iterate and push forward.

About Mash

We’re a dynamic team with experience at startups, and scaling products at big tech including Google, Amazon, Ada, D2L, CourseHero, Rakuten, Dayforce, PagerDuty, ROSS Intelligence & Lazer. We have top AI staff, including from programs such as MScAC, and advisors that have built startups and led some of the largest organizations in big-tech over the past 15 years.

We don’t use any seniority titles, and plan not to for as long as feasibly possible (learn more about why).

Mash investors include Whitecap Venture Partners, Castle Island Ventures, Maple VC, Strategic Cyber Ventures, Aquanow, Spacecadet, and angel investors including Sunny Madra (formerly Groq, now NVIDIA), Balaji Srinivasan (former CTO of Coinbase, author of The Network State), Austin Hill (co-founder of Zero-Knowledge Systems and Blockstream), Josh Troy (multi-startup CFO/co-founder, including Urbint) and John Pfeffer (former partner at KKR, co-founder of Pfeffer Capital).

Role & responsibilities

• Discover and understand user needs.
• Build, ship, and maintain features and infrastructure.
• Participate in system architecture and technical design discussions.
• Work closely with a cross-functional team (product, design, engineering).
• Manage infrastructure and CI/CD pipelines.

Our stack

• AI: We keep up with the state of the art and use whatever works best. Lately that means a bespoke agent harness, frontier and open-weight LLMs, decision models, speech-to-text and vision models, traditional NLP models, retrieval systems (graph, vector and keyword), and lots more.
• Application: Python (FastAPI, Pydantic, SQLAlchemy), TypeScript, React Native with Expo, Next.js.
• Data: Postgres, Cloud Storage, Prefect.
• Infrastructure: GCP (Cloud Run, Cloud SQL, Pub/Sub, Eventarc), Terraform, Docker, Dagger, Kubernetes, Tilt, OpenTelemetry.

Skill set

• You love making killer user experiences and apps.
• 4+ years of experience in at-scale software development.
• Skilled in 1 or more system programming language, such as Go, Java, Python, or C#.
• Skilled in web development (JavaScript/TypeScript, HTML, CSS, and frameworks such as NextJS, React, Vue, etc.).
• Experience with relational databases (such as Postgres, MySQL, Microsoft SQL Server, etc.).
• Experience with cloud providers (such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.).
• Bonus: data processing pipelines, LLMs and tooling such as OpenAI, Cohere, LangChain, vector stores, or an impressive personal side-project you’re proud of.

Cultural fit

We’re looking for an individual who:

• Responds well to open-ended problems and thrives on autonomy — is a self-starter and problem solver.
• Thrives in team environments — is focused on team goals.
• Has great communication skills.
• Has a passion for lifelong learning.
• Has strong user empathy, and a user experience first mindset.

How to apply

Please reach out to us at [email protected] — and include a bit about yourself, your resume, and three bullet points about why you are specifically interested in the position.