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Solution Engineer

Job not on LinkedIn

đŸ”„ 25 minutes ago

🌏 Anywhere in the World

đŸ’” $170k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ’» Solutions Engineer

đŸ‘» Ghost score 0%

infoinfo

Amazon Redshift

BigQuery

Cloud

Python

SQL

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Logo of RelationalAI

RelationalAI

51 - 200 employees

Founded 2017

đŸ€– Artificial Intelligence

☁ SaaS

💰 $40M Series A on 2022-04

Artificial Intelligence ‱ SaaS

RelationalAI is a technology company that enhances decision-making across organizations by utilizing a Knowledge Graph Coprocessor within the Snowflake data cloud. This innovative solution operationalizes the rules, relationships, and decision systems crucial for businesses, integrating powerful decision-making tools such as graph analytics, rules-based reasoning, and mathematical optimization. By utilizing advanced techniques like AI, graph neural networks, and predictive analytics, RelationalAI helps businesses detect fraud, identify influential customers, and optimize operations. The platform aims to simplify intelligent application development and improve business intelligence through expressive and scalable rule-based reasoning and graph analytics.

📋 Description

‱ Own customer outcomes end to end, including discovery, modelling, implementation, performance tuning, production hardening, and success measurement ‱ Design and ship decision solutions using ontologies, rules, graph analytics, optimization formulations, and predictive models ‱ Scope and build platform capabilities when customer workflows are blocked, then contribute generalized versions upstream ‱ Provide Product with reproductions, patterns, and specific failure modes to influence the roadmap ‱ Conduct technical discovery through workshops, demos, and proofs of concept ‱ Document work in the repository and create reusable reference implementations ‱ Root-cause failures and avoid compounding technical shortcuts ‱ Deploy working decision systems against customers’ real data in their Snowflake accounts

🎯 Requirements

‱ 5+ years building and shipping production software, including experience inside customer or partner environments ‱ Demonstrated end-to-end ownership from an ambiguous problem statement to production ‱ Strong SQL ‱ Deep familiarity with cloud data platforms, including Snowflake, BigQuery, Databricks, and Redshift ‱ Strong programming ability, primarily Python ‱ Comfort with declarative or logic-style languages is advantageous ‱ Ability to read unfamiliar source code, interpret stack traces, and debug systems not personally written ‱ Ability to work with both VP-level business stakeholders and staff data engineers ‱ Comfort operating in high-autonomy, high-velocity, low-instruction environments ‱ Experience with optimization, constraint solving, rule engines, graph algorithms, ML on structured data, semantic modelling, data pipelines, governance, or enterprise technology/AI/analytics platforms preferred

đŸ–ïž Benefits

‱ Equity ‱ Comprehensive benefits ‱ Open PTO ‱ Flexible schedules ‱ Recharge weeks ‱ Global benefits ‱ Mental-health support ‱ Learning stipends ‱ Regular team offsites and global events ‱ Transparent, inclusive, and globally connected culture

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