DeepRec.ai
Tech Lead
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Tech Lead – Data Platform
12-month contract | Fully Remote
We are working with an early-stage technology company building a data-intensive B2B SaaS product for enterprise customers. The platform combines large-scale data pipelines, analytical and modelling capabilities, and a modern web application. The engineering team is small, highly technical, and moving quickly as the product scales.
We are looking for a hands-on Tech Lead to take ownership of the technical direction, architecture, and engineering delivery across the platform.
What you'll do
- Own the technical architecture across data, backend, and product.
- Lead a small engineering team across delivery, priorities, and technical direction.
- Translate product requirements into practical technical plans.
- Remain hands-on, writing and reviewing production code.
- Establish strong engineering practices around testing, releases, observability, and security.
- Work with enterprise customers on technical and security requirements.
- Help shape the product and technology roadmap.
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Must-have
- Significant hands-on engineering experience as a Tech Lead, Founding Engineer, Staff Engineer, or similar.
- Proven experience building and taking a data-driven product from prototype into production.
- Strong experience with data platforms, production pipelines, and cloud data warehouses.
- Strong B2B SaaS architecture experience, including multi-tenancy, security, and data protection.
- Strong TypeScript and React/Next.js experience.
- Experience working in a fast-moving startup or scale-up environment.
- Entrepreneurial mindset with the ability to operate independently and comfortably with ambiguity.
- Strong software engineering practices and experience using AI-assisted development tools.
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Nice to have
- Experience working in an early-stage startup through Series A or similar growth stage.
- Snowflake or equivalent cloud data warehouse experience.
- Experience with complex operational or event-based data.
- Process mining, simulation, or Operations Research experience.
- Experience building analytical or data-intensive B2B products.
- Experience working with production AI/LLM features.
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