Systems Engineer at CEO Lawyer Personal Injury Law Firm

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Systems Engineering, AWS, Python, JavaScript, SQL, ETL, APIs, Automation, React, Data Integrity, AI, Data Warehousing, HubSpot, Lead Capture, Frontend Development, Integration Engineering

Industry

Description

About the Role We're looking for a Software Engineer to own the technical foundation of our intake and GTM systems—integration engineering, automation, and applied AI working together to make lead flow fast, accurate, and intelligent. This is not a ticket-execution role. You'll own projects end-to-end, make architectural decisions, and ship work that directly impacts case acquisition and revenue. If you enjoy ambiguity, building systems that scale, and taking ownership of outcomes, this role is designed for you. What You'll Do Intake & GTM Systems Engineering Own, extend, and optimize our AWS-based orchestration layer that powers lead routing, intelligent filtering, and automated chase sequences across the full intake lifecycle Design, build, and maintain integrations across our core GTM stack: HubSpot, Filevine, PandaDoc, Aloware, Zoom, and CTM—ensuring seamless data flow and system reliability Monitor data integrity across platforms, proactively diagnosing sync issues, schema changes, and upstream anomalies before they impact business operations Develop and deploy automations that improve speed-to-contact, conversion rates, and overall intake efficiency Frontend & Internal Tooling Build and extend custom HubSpot UI extensions that streamline intake workflows and surface critical data to operators Develop internal tools, dashboards, and React-based components that empower teams to self-serve—reducing dependency on engineering for day-to-day needs Build and maintain landing pages with forms for lead capture—clean, performant, conversion-optimized (React, Tailwind) Support marketing with ad platform integrations (Google Ads, Meta) for attribution, conversion tracking, and campaign optimization AI Agents & Intelligent Automation Design and build AI-powered agents for lead qualification, automated follow-up sequencing, and intelligent document processing Leverage LLMs and emerging AI tools to accelerate experimentation, streamline workflows, and create intelligent automation across the GTM stack Develop systems that extract and surface actionable insights from lead, case, and operational data—enabling smarter decision-making at scale Data Infrastructure & Intelligence Partner in the design and building of a centralized data warehouse to support business intelligence, reporting, and strategic decision-making Architect and maintain ETL pipelines that consolidate data from HubSpot, Filevine, and other operational systems into reliable, queryable datasets Collaborate with stakeholders across the firm to translate ambiguous business questions into testable data models and reporting frameworks Develop predictive models for case settlement valuations, leveraging historical case data and outcome patterns to inform case strategy End-to-End Ownership Manage multiple projects and shifting priorities in parallel, balancing speed with quality Move fluidly between AWS infrastructure, API integrations, SQL analysis, and frontend development as the work demands Perform end-to-end testing across systems (e.g., lead submission → HubSpot → orchestration layer → Filevine → case creation) Document architectural decisions, system behaviors, and operational tradeoffs—building institutional knowledge that scales beyond any single person What You Must Have Strong systems and solutions DNA—you've built or owned technical systems, not just administered them 2-4 years of experience in software engineering, growth engineering, or technical operations Hands-on builder mindset with a bias toward iteration and experimentation Strong proficiency in Python and/or JavaScript for automation, integrations, and data transformation Technical comfort with APIs, integrations, automation tooling, and system logic Solid data fluency with SQL, JSON, and ETL pipelines AWS or Azure experience (Lambda, SQS, Step Functions, S3 or equivalents) Clear communication skills and the ability to translate business needs into technical designs Ability to work US-based hours (core collaboration hours in Central/Eastern time) Nice to Have Frontend experience with React and Tailwind CSS Experience building landing pages and lead capture forms Experience building workflow automations (n8n, Make, Airflow, or similar) Familiarity with ad platform APIs and conversion tracking (Google Ads, Meta) HubSpot development experience (UI extensions, custom integrations)* Data warehousing experience (dimensional modeling, dbt, or similar) Experience designing or implementing webhook-based workflows Direct experience designing AI agents or automated qualification systems Pay rate based on experience!

Responsibilities

The Systems Engineer will own and optimize AWS-based orchestration for lead routing and automate processes to enhance intake efficiency. They will also design and build integrations across the GTM stack and develop AI-powered agents for lead qualification.