Nitrogen

Analytics Engineer

• Builds SQL-based transformation workflows that parse, cleanse, and model complex data with accuracy and resilience.
• Writes and maintains production-grade Python workflows to complement SQL/dbt transformations and automate complex data tasks.
• Owns the successful delivery of daily financial data feeds that standardize raw data from numerous sources into our warehouse, and export fresh datasets out to production systems.
• Resolves customer impacting problems through deep analysis, tracing through the data lineage and using your domain knowledge to intuit the cause and solution.
• Builds customer-facing data insights products through advanced SQL modeling or machine learning models when appropriate.
• Delivers high-quality, production-grade features, and reliably meets commitments.
• Maintains a deep understanding of what our domain-specific data means to our customers and their product experience.
• Sets a high bar for technical productivity and efficiency through expert use of AI and cutting-edge tools.
• Proactively identifies and addresses technical debt and developer experience needs, and advocates for AI-enhanced solutions where appropriate.
• Demonstrates a continuous improvement mindset in both personal development and all technical workflows.
• Ensures your technical contributions align with company objectives and expectations.

Staff Analytics Engineer

Account Executive

• Work with prospective customers by telephone and email, following up with them to answer questions, learn about their business and educate them on the capabilities of the product.
• “Be the closer” - build a relationship with the prospective customer, learn their business objectives, convince them that Nitrogen can move the needle for them, and bring them aboard.
• Own your pipeline - Proactively generate new business through outbound prospecting and targeted outreach to build and maintain a healthy sales pipeline, in addition to managing inbound marketing generated leads.
• Our World class Marketing ORG will deliver weekly high valued leads to your pipeline, the goal is to convert them into Qualified Pipeline for your territory.
• Effectively and independently distill and deliver the Nitrogen value proposition, demonstrating Nitrogen SaaS platform via online demos.
• Develop into an industry expert in identifying customer ‘pain’ & helping to solve customer challenges.
• Develop a sustained pipeline and close new business at or above quota.
• Identify and qualify opportunities, pursue conversion of qualified leads to customer solutions with subscription-based revenue.
• Negotiate pricing and contractual terms to close sales as required.
• Responsible for maintaining SFDC to reflect an accurate pipeline and Forecast.
• Responsible for meeting or exceeding departmental goals for sales quota.

Senior Account Executive – Advisor Sales

Full-stack Engineer

• You empower the world to invest fearlessly by building and shipping high-quality features and improvements to our SaaS product.
• Primarily focused on backend development, with the capability to support frontend development from time to time.
• Self-driven and independent Senior Software Engineer with a proven ability to take ownership of tasks from inception to completion.
• Demonstrates a high level of technical expertise and can work autonomously while collaborating effectively with other teams.
• Ability to adapt and work seamlessly with modern codebases and a mix of legacy frameworks.
• Enthusiasm for bringing incremental improvements to established systems.
• Delivers against commitments with elite quality and velocity.
• Promotes a culture of collaboration by communicating clearly and effectively in-person, as a public speaker, and in writing.
• Integrates technical experience and understanding of business requirements to create performant, reliable, and highly usable products.
• Has experience in performant design and performance optimization of existing systems.
• Proactively acquires domain knowledge to align technical decision-making with business objectives.
• Excels at solving complex problems by balancing innovation with existing solutions and best practices.
• Leverages expertise to identify and mitigate risks to delivery and quality early in the development process.