Senior Solution Consultant

🔥 0 minutes ago

⛰️ Colorado – Remote

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💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

💼 Consultant

👻 Ghost score 0%

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Logo of Blitzy

Blitzy

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

Blitzy is an enterprise AI-driven autonomous software development platform. It reverse-engineers very large codebases to construct a dynamic knowledge graph of dependencies and architecture, then orchestrates thousands of specialized AI agents across multiple foundation models to autonomously plan, build, refactor, and validate production-ready code — claiming delivery of ~80%+ of projects as compiled, tested repositories. Designed for IP-sensitive organizations, Blitzy offers SOC 2 Type II and ISO 27001 compliant deployments (cloud, VPC, or on-prem options), evaluation pilots and multi-tier enterprise pricing, and emphasizes high code quality, security, and system-level reasoning.

📋 Description

• Act as the technical advisor for Enterprise customers evaluating Blitzy • Run proofs-of-concept demonstrating measurable business impact • Help customers integrate Blitzy into existing development environments • Lead technical discussions on software architecture, CI/CD, cloud infrastructure, APIs, and developer workflows • Deliver demos to Senior Developers, CTOs, and CIOs • Build trusted advisor relationships with technical stakeholders and executives • Drive post-sale adoption and expansion across teams and products • Serve as the technical conduit between the CTO, AI Engineering team, and customer platform experience • Partner with Sales, Product, and Engineering throughout the customer lifecycle • Translate customer feedback into product improvements and roadmap insights • Track and optimize the pipeline, learning from wins and losses

🎯 Requirements

• 7+ years in software engineering, solutions consulting, solutions architecture, or technical leadership • Deep understanding of enterprise software development and modern engineering practices • Direct experience across cloud infrastructure, APIs, DevOps, CI/CD, and microservices • Ability to communicate technical concepts clearly to both engineers and executives • Proven problem-solving skills • Experience operating in fast-paced environments and complex enterprise technical environments • Hands-on experience with AI/ML technologies or AI-driven products, ideally in enterprise SaaS or developer tooling • Background helping companies modernize engineering workflows • Previous experience at companies like Microsoft, Google, AWS, Salesforce, or enterprise consultancies

🏖️ Benefits

• Uncapped Commission • Equity

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