Responsibilities
- Own product areas end-to-end, including problem discovery, solution design, implementation, shipping, and impact measurement.
- Speak directly with customers to understand workflows and pain points.
- Decide what to build, skip, or sunset based on user feedback and business impact.
- Build and ship across frontend, backend, and AI systems.
- Contribute customer insights and product strategy to roadmap discussions with the founders.
- Iterate rapidly using usage data and customer feedback.
Requirements
- 3–7 years of software engineering experience with strong full-stack expertise in React, TypeScript, Python, and AWS.
- Demonstrated product sense and experience influencing what gets built.
- Ability to turn ambiguous customer problems into scoped, shipped solutions.
- Experience building or working closely with AI/LLM-powered systems, or strong interest and ability to learn quickly.
- Bias toward action, rapid shipping, and continuous iteration.
- Curiosity and willingness to learn complex market research workflows.
- Preferred experience includes working at a Series A–B B2B SaaS startup with high ownership.
- Preferred experience includes building developer tools, copilots, workflow automation, or productivity software.
- Preferred hands-on experience with LLM architectures such as agents, context engineering, and evaluation frameworks.
Benefits
- Full family health insurance.
- $1,000 USD annual reimbursement for skill development.
- Dedicated mentor and coach support.
- Free lunch and dinner at the office.
- Monthly food and snacks allowance.
- Bangalore-based role with office-provided meals.
Tech Stack
Categories
About Metaforms
Metaforms is the Agentic OS for Market Research. In plain language, we make research delivery faster and easier, with AI agents that work alongside your team at every step — from designing the research to the final report. These agents help draft questionnaires, program surveys, test live links, handle revisions and trackers, validate data, clean and code open ends, create tables, and prepare reporting output. They run inside a shared unified workflow, so the context your team adds in an earlier stage is preserved across the lifecycle of the project. Your team gets value from Metaforms without changing the platforms, templates, workflows, and review habits it already works with. We support all major survey programming platforms such as Decipher, Confirmit, Qualtrics, and Dimensions. Metaforms is the best way any market research team can integrate AI in their delivery operations. It lets seasoned research professionals hand work to agents without handing over judgment, because every output still passes through them. An agent programs a small batch of questions, your team checks it and gives feedback, and the next batch uses that feedback. If the output needs a frequent correction, that correction can become an AI rule. If a setup is going to repeat, it can become a template. This is what makes agents useful in real research operations. Your standards become part of the next piece of work the agents generate. And this is also how agents become dependable enough for real production work. They do the heavy lifting, your team checks and corrects what comes out, and the whole system sharpens as your team feeds it better rules.