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#HIRING at Plurio by Elly Analytics
Location: Remote — Americas (US) timezone Reports to: Head of Engineering Type: Full-time Created: April 2026
Plurio is an AI agent for performance marketing teams. We're not another dashboard or analytics tool — we're building AI that actually does the work: analyzes campaigns, spots problems, reallocates budgets, and explains what's happening in plain language.
We've raised $4.5M total, with the most recent $3.5M announced in March 2026. We work with marketing teams spending $100K–$5M/month on paid ads (Meta, Google, TikTok) — companies with complex funnels, long conversion chains, subscription and repeat-purchase models, and LTV-driven optimization (think EdTech, FinTech, Consumer Apps, Healthcare, Home Services).
The team is 30+ people, fully remote, and radically AI-first — everyone works in Cursor with a shared workspace. We don't just sell AI; we run on it.
Plurio’s attribution engine is a core part of the product. It processes complex customer journeys and determines how marketing spend translates into real business outcomes.
It already works in production and supports real clients, but it has grown into a system with complex logic, heavy queries, and non-trivial performance trade-offs. As we scale, these challenges become more visible and more important to solve.
We are looking for someone to take ownership of how this engine evolves. This includes improving performance, simplifying where possible, and making the system easier to reason about, while preserving the flexibility our clients rely on.
This is a hands-on role at the intersection of data modeling, SQL performance, and real-world business logic. You will be working on a system where changes are not isolated, and every decision has real impact.
Attribution engine evolution Lead the technical side of rebuilding the attribution algorithm and related logic while keeping client-facing flexibility — schema, batch logic, performance, and safe rollout.
SQL Server as a product Own T-SQL, schema, and indexing for analytical and transactional workloads; read query plans, find regressions, and tune with measurable before/after.
Performance and safe change Lead performance tuning (indexes, statistics, partitioning where it fits), capacity thinking, and careful rollout of DB changes in live systems — using SQL Profiler, actual execution plans (including dynamic SQL), and columnstore where they apply.
ETL and data paths Improve ETL and data pipelines that feed downstream analytics — including data consumed by AI-driven reporting and agent workflows — without making this an “AI product engineer” job title.
Collaboration with engineering Partner on data model and service boundaries: migrations, backward compatibility, clear contracts between app and database.
C# at mid level Ship and review C# in ASP.NET Core (or similar) — async paths, data access through any ORM you have used in production, tests — where the work sits between API and database. Deep staff-level C# architecture is not the primary expectation.
Quality and operations Participate in code review, incident analysis, and technical discussion; use Git and CI/CD the way the team does. AI-assisted coding is part of how we work — we actively use various AI tools (Cursor, Copilot-class tools, and more) and provide team access to premium services; use them where they improve quality and speed, not as a substitute for judgment.
Requirements: — A minimum of five years of hands-on experience in MS SQL is required. — A minimum of two years of hands-on experience in C# development is required. — Solid knowledge and application of SQL Profiler, reading dynamic query plans, and columnstore. — Experience and interest in AI-assisted coding (we actively use various AI tools and provide team access to premium services). — Experience working with any ORM in C#. — Proficiency in using version control systems, particularly Git. — You live and work in an Americas (US) timezone with reliable overlap on US business hours — required.
from 5 years
Experience
Full-time
Employment
Remote
Work Format
Senior
Grade
B2 - Upper-Intermediate
English Level
Backend
Specialization
AI
Industry
Startup
Company Type
By country
B2 - Upper-Intermediate
English Level
Backend
Specialization
AI
Industry
Startup
Company Type