[Remote] Email Developer at Stable Auto

Michigan, United States

Stable Auto Logo
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries

Requirements

  • 3–5+ years building in SFMC (Content Builder, Journey Builder, Automation Studio, Contact Builder, DE relationships)
  • Strong AMPscript and SSJS skills (including WSProxy patterns)
  • Solid SQL experience for SFMC Data Views and production DEs
  • Comfortable with REST/SOAP APIs, JSON, and CloudPages (server-side form handling, tokenized links)
  • Expert in email HTML/CSS (hybrid & fluid responsive), image optimization, fallback techniques, and modular systems
  • Knowledgeable about transactional vs. commercial sends and compliance enforcement
  • Habitual debugger: logs to DEs, uses try/catch patterns, and creates QA proofing data
  • Nice to have: MJML pipelines, build tooling (Node, npm scripts), and design tokenization
  • Nice to have: Einstein features (Send Time Optimization, Content Selection) used in production
  • Nice to have: Automotive/e-commerce lifecycle experience (pre-order, order, accessory, warranty, service)

Responsibilities

  • Build and launch emails in Content Builder using modular, reusable components (MJML/HTML, responsive CSS, design tokens)
  • Hand-code responsive HTML/CSS emails with cross-client compatibility (Outlook, Gmail, Apple Mail)
  • Write AMPscript for personalization, dynamic content blocks, error handling, and data lookups (e.g., LookupOrderedRows, UpsertDE, FormatDate, BuildRowsetFromJSON)
  • Use SSJS & WSProxy for advanced logic, API interactions, and scale (create/update DEs, triggered sends, asset ops)
  • Build and maintain Journeys (entry criteria, pathing, decision splits, event-based triggers)
  • Write SQL against SFMC Data Views/DEs to power segments and QA
  • Integrate with systems via REST/SOAP, SFTP, and CloudPages endpoints; set up triggered sends/transactional definitions
  • QA end-to-end: device rendering (Litmus/Email on Acid), link & image checks, tracking parameters, and fallbacks
  • Document and templatize: maintain a living component library, usage docs, and runbooks for common tasks
  • Convert existing emails into a componentized library (headers, footers, card modules, offer blocks, legal patterns)
  • Build a Journey + Automation for a transactional or lifecycle use case with full QA and rollback plan
  • Ship ad hoc promotional sends
  • Establish a QA checklist and seed-list process; add automated link/image checks where possible

Skills

Stable Auto

Optimizes charging infrastructure for electric vehicle fleets

About Stable Auto

Stable Auto optimizes the charging infrastructure for electric vehicle (EV) fleets, catering to logistics companies, public transportation agencies, and corporate fleets transitioning to electric vehicles. The company provides advanced software and consulting services that utilize machine learning and operations research to help clients identify the best locations for charging stations, determine optimal charging times, and minimize both capital and operational expenditures. By simulating real-world fleet behaviors, Stable Auto delivers actionable insights that enhance performance and reduce costs. Their revenue model includes subscription fees for their software platform and consulting fees for tailored advisory services. The team consists of experts in machine learning, operations, and energy, enabling them to offer practical solutions that improve fleet management.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$18.4MTotal Funding
SERIES_ACompany Stage
Automotive & Transportation, Consulting, AI & Machine LearningIndustries
11-50Employees

Benefits

Flexible Work Hours
Remote Work Options
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Parental Leave

Risks

Increased competition from established players like Shell may limit market share.
Low utilization rates of EV chargers threaten the profitability of infrastructure investments.
Rapid growth in public fast charging sites may reduce demand for consulting services.

Differentiation

Stable Auto uses machine learning to optimize EV fleet charging infrastructure.
The company offers customized solutions tailored to each client's specific needs.
Stable Auto's team includes experts from top companies and academic institutions.

Upsides

Partnerships with companies like Blink Charging enhance Stable Auto's market presence.
The rise of vehicle-to-grid technology offers new revenue streams for fleet operators.
AI-driven predictive maintenance reduces downtime and maintenance costs for charging stations.

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