The Context
Mazorda is a senior-led GTM studio for B2B SaaS and data companies. We run go-to-market systems across demand, RevOps, automation, and AI-powered workflows.
We also build our own products: internal tools, automation platforms, competitor intelligence systems, and AI-powered utilities. Some stay internal. Some become standalone products. All of them solve real problems we hit in our daily GTM work.
Right now, the founder handles most of the product coding. That does not scale. We need a developer who can take full ownership of building these products, from spec to shipped, with senior engineering support from our Principal AI & Automation Engineer.
The Role
You'll be the person who builds the products.
The founder will hand you a problem, a rough spec, or a half-built prototype. Your job is to turn that into a working product: pick the right tools, write the code, integrate the APIs, deploy it, and make it actually usable. You'll own the full stack for each project.
The stack varies by project. Some things are React + TypeScript. Some are Python scripts that talk to five APIs. Some are vanilla HTML dashboards that need to be fast and clean. You do not need to be an expert in everything. You need to be the kind of developer who can pick up what is needed and ship.
You'll work independently on straightforward features and get architectural guidance from Itamar (Principal AI & Automation Engineer) on anything complex. You'll need less guidance over time and own more scope.
What You'll Do
Build Products
- Take specs, prototypes, or rough ideas and turn them into working products.
- Build full-stack features: frontend, backend, APIs, integrations, deployment.
- Work across multiple projects with different tech stacks.
- Ship MVPs fast, then iterate based on real usage.
Integrate Everything
- Connect products to third-party APIs: Clay, Notion, OpenAI, Anthropic, DataForSEO, CRM APIs, and more.
- Build data pipelines and webhooks between services.
- Handle auth, error handling, retries, and the foundations that make products reliable.
Work With AI
- Integrate LLM APIs into products: structured outputs, prompt engineering, response parsing.
- Build features that use AI as core architecture, not decoration.
- Understand token economics, rate limits, and when a simpler approach beats an LLM call.
Own Quality
- Write code that someone else can read and maintain.
- Test your own work. You are not throwing code over a wall to QA.
- Document how things work, especially integrations and deployment steps.
- Debug production issues when they come up.
Who This Is For
You're a good fit if you:
- Can build a working web app end-to-end: frontend, backend, database, deployment.
- Have shipped something real: a product, a tool, a side project, not just completed courses.
- Are functional in both Python and JavaScript/TypeScript: deep expertise in one, working knowledge of the other.
- Have integrated third-party APIs and dealt with webhooks, rate limits, and imperfect documentation.
- Can work with AI/LLM APIs, or are genuinely eager to learn and actually build with them.
- Read docs before asking questions, but ask good questions when docs are not enough.
- Are self-directed: you do not need daily check-ins, but communicate proactively when stuck or when priorities shift.
Enthusiastic juniors with real shipped work are welcome. We care about what you've built, not your years of experience. If you have a GitHub full of side projects that actually work, that tells us more than a resume with three agency names.
Mid-level candidates should be able to take a feature from spec to production with minimal hand-holding.
Tech You'll Likely Use
Not a checklist, just a realistic picture of what's in play:
- Frontend: React, TypeScript, vanilla JS/HTML/CSS, Tailwind, Chart.js.
- Backend: Python, Node.js, REST APIs, webhooks.
- Data: Notion API, Supabase, Airtable, Google Sheets, CSV/JSON pipelines.
- AI/LLM: OpenAI API, Anthropic API, prompt engineering, structured outputs.
- Integrations: Clay, DataForSEO, SerpAPI, Customer.io, CRM APIs (HubSpot, etc.).
- Video: Remotion (React-based video generation).
- Deployment: Vercel, basic Docker, GitHub.
You will not use all of these on day one. Over time, you will touch most of them.
What You Won't Be Doing
- GTM operations or RevOps work (that is a separate role).
- Managing clients or sitting in strategy meetings.
- Maintaining legacy enterprise codebases.
- Waiting for someone to tell you exactly what to build, line by line.
How You'll Work With the Team
- Yaniv (Founder): gives you the problem and the spec. Reviews the product, not the code.
- Itamar (Principal AI & Automation Engineer): your technical sounding board. Reviews architecture, helps with complex integrations, guides AI patterns. You'll grow into needing less support over time.
- The rest of the team: PPC, SEO, content, and ops specialists who use the tools you build. They provide fast, practical feedback.
Simple features: you own end-to-end. Complex architecture: you and Itamar solve it together.
Engagement
- Part-time or full-time, depending on fit and availability.
- Remote-first, timezone-flexible.
- Paid trial task as part of the hiring process.
- Preference for a long-term working relationship.
- Start with internal product work, then grow scope as trust builds.
Compensation
Flexible and discussed openly. Please include your preferred structure and expected rate.
Apply
If this sounds like your kind of work, apply via the button below.