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Senior Backend Engineer (Data Systems & Product Innovation)

treqs United State
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AI Summary

Hire a product-focused backend engineer to optimize warehouse performance, enhance analytics capabilities, and drive real-time data syncing and generative AI integrations for a no-code data activation platform. Focus on large-scale data processing, system design, and solving unsolved problems in data infrastructure. Senior role with high growth potential and equity.

Key Highlights
Fully remote role open to US and Canadian citizens, Green card holders, and visa transfers (e.g., OPT, H1B)
Deep backend engineering role with no-code product focus on warehouse optimization, analytics, and real-time data syncing
Generative AI integration to simplify data activation for non-technical users
Key Responsibilities
Optimize warehouse performance through query optimization, pre-computed state, and vendor-specific improvements
Develop analytics and experimentation features to enable customer segmentation, audience testing, and downstream impact analysis
Explore real-time data syncing capabilities as warehouses adopt Change Data Capture (CDC)
Integrate generative AI to simplify data activation for non-technical users
Collaborate with product teams to define and iterate on technical specifications based on user feedback
Technical Skills Required
Large-scale data processing systems Systems design for high-performance warehouses Backend engineering (language-agnostic)
Benefits & Perks
Base salary range: $180,000–$320,000
Benefits and meaningful equity
Fully remote work

Job Description


Fully remote role in either US or Canada

Base salary (DOE): $180-320k, bens and meaningful equity

Open to all US and Canadian citizens, Green card holders as well as visa transfers (e.g. OPT, H1B transfers)


Most data sits in a warehouse doing nothing. My client is a a. hugely successful software product company that is building out the team for one of their products.


This product provides a purpose-built no-code suite of features that enables anyone, regardless of their SQL experience, to activate data directly from their warehouse.


We're hiring a product-minded backend engineer to help decide what comes next.


On the table:


  • Warehouse performance — pushing warehouses past what they were built for, through query optimisation, pre-computed state and vendor-specific improvements.
  • Analytics & experimentation — helping customers build segments, test audiences, and see what's actually working downstream.
  • Real-time syncing — as warehouses adopt CDC, how close to real-time can audience computation get?
  • Generative AI — making acting on data feel seamless rather than technical.


You'll likely bring:


  • 6+ years building backend systems, including time at a high-growth startup somewhere between Series A and E
  • Language agnostic
  • Strong systems design fundamentals and a feel for how large-scale data processing behaves under pressure
  • A product brain — comfortable writing specs, iterating on feedback, and getting on a call with a user
  • Clear communication and a genuine appetite for unsolved problems


This is a senior role, but impact and growth potential matter more here than years on a CV so if you're a superstar with 4 years experience in a high-growth startup then we need to talk!


This is a deep backend role, not full-stack, infra, data engineering or DevOps. If that's you, message me anyway — there are other roles I can point you at.


Interested, or know the right person? Get in touch or email [email protected]


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