Nitrogen

• Advances Nitrogen's AI capabilities with your expertise designing and shipping agentic systems into production use. • Owns the successful delivery of AI features end-to-end: from agent design and orchestration, through evaluation and hardening, to reliable production systems advisors depend on. • Builds the foundations that make agents dependable: memory systems, evaluation frameworks, and the patterns that improve agent decisions at scale. • Sets a high bar for technical productivity through deep, fluent, and consistently advancing use of agentic AI developer tools. • Pioneers AI-augmented engineering practices on the team, including prompts, harness configurations, and multi-agent orchestration, and shares them so the whole team moves faster. • Delivers high-quality, production-grade features at a velocity that meaningfully exceeds traditional engineering throughput, while reliably meeting commitments. • Provides architectural leadership across AI systems and the services and data flows that support them. • Maintains a deep understanding of what our domain-specific data means to our customers and their product experience. • Proactively identifies and addresses technical debt and developer experience gaps, advocating for AI-enhanced solutions. • Mentors and elevates the technical skills of fellow engineers, particularly in building and shipping AI systems. • Demonstrates a continuous improvement mindset in both personal development and all technical workflows.

• Owns the product vision and roadmap for Nitrogen's complex planning products: Tax, Income, Legacy, and Insurance. • Drives the full product lifecycle — conceptualization, prioritization, execution, go-to-market collaboration, and post-launch iteration — across these product areas. • Maintains industry-leading depth in relevant planning domains, sufficient to be trusted by advisors, partners, and the financial media. • Translates inherently complex planning concepts into product experiences that feel simple and intuitive to advisors and end clients. • Represents Nitrogen externally as a domain authority — in customer conversations, on conference stages, in podcasts, written content, and media interviews. • Builds and maintains a continuous feedback loop with customers, prospects, and industry experts to inform product direction. • Manages and develops Product Owners, setting clear expectations, ensuring high-quality execution, and growing them as product professionals. • Partners closely with Engineering, Design, and GTM teams to ensure products ship on predictable cadence and land successfully in market. • Makes rigorous, evidence-based prioritization decisions and communicates them clearly across stakeholders, including when telling people no. • Maintains a working understanding of the regulatory, tax-code, and insurance-industry landscape, anticipating changes that affect roadmap. • Defines and tracks success metrics for each product area and uses them to drive continuous improvement. • Aligns the planning product roadmap with broader company strategy and revenue objectives.

• Advances Nitrogen's data platform and service capabilities with your expertise in building large-scale, modern data and API systems. • Owns the successful delivery of data flows end-to-end: ingesting raw data from external partners, standardizing it in our warehouse, and exposing it through APIs and downstream production systems. • Champions good data governance, industry best practices, and efficient processing techniques. • Delivers high-quality, production-grade features, and reliably meets commitments. • Sets a high bar for technical productivity and efficiency through deep, consistent use of AI and agentic developer tools. • Provides architectural leadership across data pipelines, APIs, and services to ensure scalable designs and high-quality implementations. • Develops a deep understanding of what our domain-specific data means to our customers and their product experience. • Proactively identifies and addresses technical debt and developer experience gaps across data and service layers, advocating for AI-enhanced solutions where appropriate. • Mentors and elevates the technical skills of fellow engineers. • Demonstrates a continuous improvement mindset in both personal development and all technical workflows. • Ensures your technical contributions align with company objectives and expectations.

WHAT WE DO Nitrogen has been revolutionizing how financial advisors and wealth management firms engage with their clients since the launch of Riskalyze in 2011. Today, Advisors tell us it's a constant challenge to clearly show the value of their advice and keep clients committed to their plan. Our AI-powered suite connects risk alignment, portfolio research, income planning and tax intelligence into persuasive visuals that turn every meeting into a moment of clarity -- so clients trust you, understand you, and stay aligned for the long term. We invented the Risk Number®, built on top of a Nobel Prize-winning academic framework, and are the champions of the Fearless Investing Movement — tens of thousands of financial advisors are committed to our mission of empowering the world to invest fearlessly. Nitrogen is an equal opportunity employer. We encourage people from underrepresented groups to apply. We are committed to being fair and intentional in our hiring decisions by reviewing every application thoroughly. THE TEAM Our Data and Services Team empowers the world to invest fearlessly by leveraging AI tools and deep technical expertise to build robust data pipelines, APIs, and data-powered systems that serve advisors and their firms across the wealth management industry. As a Senior Staff Data Engineer on the Data & Services team, you'll lead the design and evolution of the systems that move, transform, and expose data across our platform. This includes building and scaling ingestion pipelines from external financial partners, developing and maintaining APIs and services that power those integrations, and shaping the data layer that drives internal analytics and product experiences. You'll operate across the full lifecycle of these systems—from ingestion to consumption—ensuring our data infrastructure is resilient, well-modeled, and built for long-term maintainability. Senior Staff Data Engineer: - Advances Nitrogen's data platform and service capabilities with your expertise in building large-scale, modern data and API systems. - Owns the successful delivery of data flows end-to-end: ingesting raw data from external partners, standardizing it in our warehouse, and exposing it through APIs and downstream production systems. - Champions good data governance, industry best practices, and efficient processing techniques. - Delivers high-quality, production-grade features, and reliably meets commitments. - Sets a high bar for technical productivity and efficiency through deep, consistent use of AI and agentic developer tools. - Provides architectural leadership across data pipelines, APIs, and services to ensure scalable designs and high-quality implementations. - Develops a deep understanding of what our domain-specific data means to our customers and their product experience. - Proactively identifies and addresses technical debt and developer experience gaps across data and service layers, advocating for AI-enhanced solutions where appropriate. - Mentors and elevates the technical skills of fellow engineers. - Demonstrates a continuous improvement mindset in both personal development and all technical workflows. - Ensures your technical contributions align with company objectives and expectations.

• Builds SQL-based transformation workflows that parse, cleanse, and model complex data with accuracy and resilience within established patterns and standards. • Writes and maintains production-ready dbt models in Snowflake, including tests and documentation appropriate to the change. • Contributes Python workflows that complement SQL/dbt transformations and automate repeatable data tasks. • Supports the successful delivery of daily financial data feeds that standardize raw data from numerous sources into our warehouse. • Supports exports of fresh, correct datasets to downstream production systems, validating outputs and surfacing issues early. • Resolves data issues through analysis and lineage tracing, escalating with clear evidence and proposed fixes when needed. • Delivers high-quality features that meet expectations for correctness, maintainability, and operational safety. • Develops a working understanding of domain-specific custodial data and how it affects customer experience and product behavior. • Uses AI-assisted development tools effectively to increase productivity and code quality (we use Devin and Cursor heavily). • Demonstrates continuous improvement in independence, throughput, and quality across delivery cycles. • Ensures day-to-day technical contributions align with team priorities and company objectives.

WHAT WE DO Nitrogen has been revolutionizing how financial advisors and wealth management firms engage with their clients since the launch of Riskalyze in 2011. Today, Advisors tell us it's a constant challenge to clearly show the value of their advice and keep clients committed to their plan. Our AI-powered suite connects risk alignment, portfolio research, income planning and tax intelligence into persuasive visuals that turn every meeting into a moment of clarity -- so clients trust you, understand you, and stay aligned for the long term. We invented the Risk Number®, built on top of a Nobel Prize-winning academic framework, and are the champions of the Fearless Investing Movement — tens of thousands of financial advisors are committed to our mission of empowering the world to invest fearlessly. Nitrogen is an equal opportunity employer. We encourage people from underrepresented groups to apply. We are committed to being fair and intentional in our hiring decisions by reviewing every application thoroughly. WHAT YOU’LL BE WORKING ON As a Customer Support Representative, you are helping to empower the world to invest fearlessly as the face of Nitrogen by serving and responding to every customer request with excellence and delight. - Provide fast and delightful initial responses to customer requests (first response) via live chat, email, and phone. - Relay tones of delight, helpfulness, and a positive attitude with customers during every interaction (CSAT/Delight). - Resolve first-level questions, and provide expectations related to product issues in a timely manner (full resolution). - Develop ways to reduce or deflect the number of tickets we process. - Identify and escalate technical issues to internal stakeholders and report to QA and engineering teams when needed (bug reporting). - Provide valuable product ideas to the product team. You are the “voice of the customer.” (product idea submissions) - Triage customer inquiries quickly to help maximize renewals and minimize churn (straight retention). - Discover growth opportunities and work with teammates in Sales and Customer Success (net retention). - Improve and leverage user-facing educational resources (e.g., KBs, Academy, webinars). - Train and mentor new Customer Support Reps through feedback loops like Peer Reviews, the Buddy System, and team collaboration (continued learning).

• Provide fast and delightful initial responses to customer requests (first response) via live chat, email, and phone. • Relay tones of delight, helpfulness, and a positive attitude with customers during every interaction (CSAT/Delight). • Resolve first-level questions, and provide expectations related to product issues in a timely manner (full resolution). • Develop ways to reduce or deflect the number of tickets we process. • Identify and escalate technical issues to internal stakeholders and report to QA and engineering teams when needed (bug reporting). • Provide valuable product ideas to the product team. You are the “voice of the customer.” (product idea submissions) • Triage customer inquiries quickly to help maximize renewals and minimize churn (straight retention). • Discover growth opportunities and work with teammates in Sales and Customer Success (net retention). • Improve and leverage user-facing educational resources (e.g., KBs, Academy, webinars). • Train and mentor new Customer Support Reps through feedback loops like Peer Reviews, the Buddy System, and team collaboration (continued learning).