Senior Software Engineer

Wise Pelican•Scottsdale, AZ
•$100,000 - $150,000•Onsite

About The Position

Wise Pelican is hiring a Senior Software Engineer to join its Development team and build product capabilities, especially involving AI and the company’s real estate marketing product. The role translates ideas and customer needs into practical software that improves client workflows and contributes to revenue, customer retention, and internal efficiency. The engineer will ship code, work directly with customers and internal teams, and own projects through production deployment and ongoing improvement. This is a full-time, onsite position in Scottsdale, Arizona, reporting to the Head of Engineering. The engineer will build full-stack solutions with Python, TypeScript, and React, including product features, internal tools, integrations, data workflows, and AI-supported applications. They will define success measures, make practical tradeoffs, turn successful solutions into reusable capabilities, and bring customer and deployment learnings into the product roadmap. Initially, the role will involve learning the product, technical architecture, business model, customer workflows, and AI initiatives; helping set priorities and working practices for the Senior Software Development function; evaluating product and AI opportunities; bringing a prototype, stalled initiative, or high-priority problem into reliable production use; and establishing lightweight project standards. Over time, the engineer will own a portfolio of initiatives and help shape and scale the Forward Deployed Engineering function.

Requirements

  • Strong software engineering foundation and evidence of shipping working software beyond coursework, tutorials, or prototypes that have not reached paying users.
  • Comfort building production applications with Python, TypeScript, and React.
  • Understanding of full-stack fundamentals, including APIs, databases, testing, debugging, deployment, authentication, and cloud-based systems.
  • Ability to work through technical problems independently and recognize when to ask for context, support, or a second opinion.
  • Ability to communicate with customers, executives, developers, and nontechnical stakeholders clearly.
  • Ability to communicate progress, tradeoffs, risks, and changing expectations proactively.
  • Interest in understanding how a business works and connecting technical decisions to revenue, adoption, efficiency, risk, and customer outcomes.
  • Comfort working with unclear problems, asking direct questions, organizing moving pieces, and creating a reasonable path forward.
  • Thoughtful use of numerous AI development tools.
  • Desire to build and deliver solutions rather than only recommend what others should build.

Nice To Haves

  • Experience building or deploying production systems involving LLMs, AI agents, retrieval-augmented generation, evaluations, guardrails, or human-in-the-loop workflows.
  • Experience working directly with customers in implementation, solutions engineering, technical consulting, product development, or a similar role.
  • Experience at an early-stage or bootstrapped company with limited process, specialized teams, or resources.
  • Experience with marketing automation, CRMs, HubSpot, real estate technology, workflow automation, or data-heavy SaaS products.
  • Ability to demonstrate a project in which the candidate identified a problem, built and launched a solution, and evaluated whether it worked.

Responsibilities

  • Identify product and AI opportunities with the Head of Engineering and cross-functional leaders, focusing on revenue, customer success, efficiency, or long-term company value.
  • Work with customers and internal teams to understand workflows, identify problems, and translate ambiguous business needs into technical plans.
  • Build full-stack product features, internal tools, integrations, data workflows, and AI-supported applications using Python, TypeScript, and React.
  • Own projects from discovery and prototyping through testing, production deployment, adoption, and continued improvement.
  • Define success measures before development and assess whether completed solutions achieve intended business or customer outcomes.
  • Make practical tradeoffs involving scope, speed, maintainability, security, and technical quality.
  • Turn successful tailored or internal solutions into reusable components, documented playbooks, and scalable product capabilities.
  • Bring customer and real-world deployment feedback into the product roadmap.
  • Keep stakeholders informed, surface risks early, and create structure to ensure important work is not lost between departments.
  • Learn the company’s product, architecture, business model, customer workflows, and current AI initiatives.
  • Help define the initial purpose, priorities, success measures, and working model for the Senior Software Development function.
  • Review product and AI ideas and prioritize projects with a clear path to revenue, user success, or operational leverage.
  • Take an existing prototype, stalled initiative, or high-priority business problem through to reliable production use.
  • Establish lightweight standards for project discovery, technical scoping, deployment, documentation, feedback, and outcome measurement.
  • Own a portfolio of internal and customer-facing initiatives from business problem through measurable result.
  • Help determine whether customer needs should remain tailored solutions or become part of the core product.
  • Help shape and scale the Forward Deployed Engineering function, including its goals, processes, responsibilities, and future hiring needs.

Benefits

  • Major medical insurance.
  • Dental and vision coverage.
  • Three weeks of paid time off, sick time, parental leave, and seven company holidays per year.
  • Professional development stipends.
  • 401(k) at a tenure milestone.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service