Tech Lead

DeepRec.ai

Greater London

On-site

GBP 90,000 - 130,000

Full time

4 days ago
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Job summary

DeepRec.ai is seeking a hands-on Tech Lead to own the technical direction, architecture, and delivery of our data platform. You will oversee data, backend and product, guiding a small but highly technical engineering team and translating product requirements into practical technical plans.

You will stay hands-on, writing and reviewing production code, establish testing, releases, observability, and security practices, and collaborate with enterprise customers to meet security and data protection

Qualifications

  • Must have hands-on engineering leadership experience (Tech Lead, Founding Engineer, Staff Engineer or similar).
  • Proven track record turning data-driven prototypes into production products.
  • Strong experience with data platforms, pipelines and cloud data warehouses.
  • B2B SaaS architecture experience including multi-tenancy, security and data protection.
  • Strong TypeScript and React/Next.js experience.
  • Experience in fast-moving startup or scale-up environments.
  • Entrepreneurial mindset with independent, ambiguity-tolerant working style.
  • Experience using AI-assisted development tools.

Responsibilities

  • 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.

Skills

Tech Leadership
Data platforms
Data pipelines
B2B SaaS architecture
TypeScript
React/Next.js
Startup Experience
AI-assisted development

Tools

Snowflake

Job description

Tech Lead – Data Platform12-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.
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.
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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