
51 - 200 employees
Founded 2017
đ€ Artificial Intelligence
âïž SaaS
đ° $40M Series A on 2022-04
Artificial Intelligence âą 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.
đ„ 10 minutes ago
đ Anywhere in the World
đ” $170k - $200k / year
â° Full Time
đĄ Mid-level
đ Senior
đ» Solutions Engineer
đ» Ghost score 0%
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51 - 200 employees
Founded 2017
đ€ Artificial Intelligence
âïž SaaS
đ° $40M Series A on 2022-04
Artificial Intelligence âą 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.
âą Own customer outcomes end to end, including discovery, modelling, implementation, performance tuning, production hardening, and success measurement âą Design and ship decision solutions using ontologies, rules, graph analytics, optimization formulations, and predictive models âą Scope and build platform capabilities when customer workflows are blocked, then contribute generalized versions upstream âą Provide Product with reproductions, patterns, and specific failure modes to influence the roadmap âą Conduct technical discovery through workshops, demos, and proofs of concept âą Document work in the repository and create reusable reference implementations âą Root-cause failures and avoid compounding technical shortcuts âą Deploy working decision systems against customersâ real data in their Snowflake accounts
âą 5+ years building and shipping production software, including experience inside customer or partner environments âą Demonstrated end-to-end ownership from an ambiguous problem statement to production âą Strong SQL âą Deep familiarity with cloud data platforms, including Snowflake, BigQuery, Databricks, and Redshift âą Strong programming ability, primarily Python âą Comfort with declarative or logic-style languages is advantageous âą Ability to read unfamiliar source code, interpret stack traces, and debug systems not personally written âą Ability to work with both VP-level business stakeholders and staff data engineers âą Comfort operating in high-autonomy, high-velocity, low-instruction environments âą 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
âą Equity âą Comprehensive benefits âą Open PTO âą Flexible schedules âą Recharge weeks âą Global benefits âą Mental-health support âą Learning stipends âą Regular team offsites and global events âą Transparent, inclusive, and globally connected culture
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