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AI & Machine Learning 1h ago

Senior Solution Consultant

United StatesUnited States
Full-time
$125,500 - $200,000 base salary + commission + equity
Senior-Level

Job Description

Key Skills Required

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Machine LearningBestseller 🔥
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DevOpsBestseller 🔥
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Solutions ArchitectAI EngineerSaaS

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What You’ll Do

  • Act as the technical advisor for Healthcare customers evaluating Blitzy

  • Lead technical discussions around software architecture, CI/CD, cloud infrastructure, APIs, and developer workflows

  • Run proofs-of-concept and demonstrate measurable business impact

  • Help customers integrate Blitzy into their existing development environments

  • Partner closely with Sales, Product, and Engineering teams throughout the customer lifecycle

  • Translate customer feedback into product improvements and roadmap insights

  • Build trusted relationships with technical stakeholders and executives

What Success Looks Like

  • You engage inbound prospects with confidence, quickly diagnosing their pain points and mapping them to Blitzy’s platform capabilities

  • You deliver compelling platform demos to Senior Developers, CTOs, and CIOs that convert technical curiosity into commercial momentum

  • You own complex enterprise sales cycles end-to-end—from first touch through PoC to contract close

  • You build trusted advisor relationships with key stakeholders inside accounts, positioning Blitzy as a strategic development partner

  • You drive post-sale adoption and expansion, ensuring customers successfully grow Blitzy usage across teams and products

  • You act as the technical conduit between our CTO, AI Engineering team, and the customer’s experience on the platform

  • You track and optimize your pipeline with precision, learning from every win and loss to sharpen your approach

  • You compete every day—you hate losing and are driven to be the best in your field

What We’re Looking For

  • 7+ years of experience in software engineering, solutions consulting, solutions architecture, or technical leadership

  • Strong understanding of enterprise software development and modern engineering practices

  • Experience with cloud infrastructure, APIs, DevOps, CI/CD, and microservices

  • Ability to communicate technical concepts clearly to both engineers and executives

  • Experience working with enterprise customers or complex technical environments

  • Strong problem-solving skills and ability to operate in fast-paced environments

  • Experience as an Engineering Manager, Technical Lead, or Solutions Architect

  • Experience with AI/ML technologies or AI-driven products

  • Background working with enterprise SaaS or developer tooling

  • Experience helping companies modernize engineering workflows

  • Previous experience at companies like Microsoft, Google, AWS, Salesforce, or enterprise consultancies

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