Senior Engineer, Business Systems (USA Only - 100% Remote)

Close is a CRM company focused on helping SMBs succeed and scale through communication-first sales software. They are seeking a Senior Engineer to join their Finance + Data Team to own the technical infrastructure of their internal business systems, ensuring they are connected and intelligent, while also creating automation and AI-enabled tools to enhance workflows and decision-making.

Responsibilities:

• Spend your first few months getting hands-on with our data infrastructure, diagnosing what’s broken, and establishing the foundation everything else builds on
• Audit and rebuild our event tracking foundation so every downstream system is working from a single source of truth
• You’ll verify our top of funnel tracking, fix what’s misconfigured, and ensure we’re tracking the right events the right way
• Collaborate with Product and Engineering on product analytics instrumentation, providing input on naming conventions, event schemas, and validation while owning the GTM-side tracking implementation to ensure our data is clean and queryable from day one
• Diagnose and fix the broken handoffs between our GTM tools (Segment, Customer.io, as our CRM, our warehouse)
• Map the full GTM data architecture and create the technical documentation that becomes the team’s operating reference, identifying what’s redundant, what’s broken, and what should be built next
• Once the foundation is solid, you’ll shift from fixing to building: creating the automation and intelligence layer that makes our GTM teams faster and smarter
• Build automation that saves Sales and Marketing teams hours every week
• Build AI-enabled tools that surface business intelligence in the flow of work, lead scoring models, Slack bots that answer data questions, or dashboards that update themselves
• Own the technical implementation of our GTM tools
• Maintain the infrastructure that powers product analytics for the entire company
• Create AI agents that can generate business reviews, answer complex questions across our data, and surface insights that would otherwise require a human analyst and a week of work
• Build self-serve data tools that enable stakeholders to get insights without waiting for someone to build them a dashboard, from natural language queries over our warehouse to automated reporting that adapts to what leadership needs
• Integrate AI into our core GTM workflows, embedding predictive models, intelligent alerts, and agent-driven automation and operational systems that run the business day-to-day

Requirements:

• A Senior engineer with 5+ years of experience in a hands-on software engineer, data engineer, or systems engineer role with a proven ability to build scalable systems at the intersection of data, business, and product
• Full-stack working experience building backend Python services and frontend TypeScript/JavaScript apps for data analytics and back office applications
• Working knowledge of product analytics instrumentation in SaaS apps
• Querying and implementing ETL processes across disparate databases
• Familiar with modern cloud data stacks (e.g., dbt, Fivetran, Snowflake)
• Experienced with implementing and managing product analytics tools (e.g., Amplitude, Mixpanel, Segment)
• Experienced with (or excited by!) AI and statistical or other machine learning concepts like predictive modeling, AI agents, and automation to enhance workflows and decision-making
• Comfortable owning the full lifecycle: from scoping business needs to designing, building, and delivering and maintaining technical solutions
• Excited by and attuned to the mechanics of modern SaaS businesses
• Driven by a strong sense of accountability and ownership
• Located in the US (ET, CT, MT, PT)