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Staff Data & AI Engineer

Medium

A distancia

MXN 400,000 - 600,000

Jornada completa

Hoy
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Descripción de la vacante

A technology company is seeking a Staff Data & AI Engineer to design and implement advanced data solutions in Mexico. This remote role involves building data pipelines, developing AI applications, and enhancing sales efficiency. Candidates must have strong skills in Python, SQL, and AI application development, along with excellent communication abilities. The position provides flexibility, competitive salary, and comprehensive benefits, including 35 days of paid leave and home office stipends.

Servicios

Fully remote work
Competitive salary
35 days of paid time off annually
Comprehensive medical coverage
Parental leave for all parents
Learning & development stipends
Annual bonus potential
Company retreats at global locations

Formación

  • Strong proficiency in Python and data manipulation.
  • Experience designing dimensional models and complex analytical queries.
  • Hands-on experience shipping AI applications preferred.
  • Deep understanding of sales workflows and pipeline analytics.
  • Excellent communication to translate concepts for non-technical stakeholders.

Responsabilidades

  • Build and maintain production-grade data pipelines.
  • Develop AI applications to automate sales workflows.
  • Maintain data infrastructure and analytics backbone.
  • Translate sales workflows into scalable technical solutions.
  • Collaborate with Sales and RevOps teams for alignment.

Conocimientos

Python for AI/ML applications
Advanced SQL and data modeling
AI applications development
Familiarity with modern data tooling
Understanding of GTM operations
Strong systems thinking
Excellent communication skills
CEFR Level C2 English proficiency

Herramientas

Snowflake
BigQuery
Redshift
Airflow
Tableau
Descripción del empleo

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data & AI Engineer in Mexico.

This role offers the opportunity to design and implement advanced data and AI solutions that directly enhance sales effectiveness and revenue growth. You will work in a fully remote, collaborative environment, building production-grade data pipelines, AI-powered applications, and analytics systems that transform raw signals into actionable insights for go-to-market teams. The position blends data engineering, AI development, and sales enablement, providing a unique chance to create scalable, intelligent tools that accelerate customer acquisition and pipeline productivity. You will work closely with sales, RevOps, and special projects teams to translate complex business requirements into high-impact technical solutions. This is a high‑autonomy role where innovation, rapid prototyping, and problem‑solving drive measurable business outcomes.

Accountabilities
  • Build and maintain production‑grade data pipelines capturing signals from community engagement, product usage, social platforms, and third‑party tools.
  • Develop AI‑powered applications to automate sales workflows, personalize outreach, and provide actionable insights for go‑to‑market teams.
  • Maintain the data infrastructure and analytics backbone, ensuring seamless integration between CRM systems, data warehouses, and enrichment providers.
  • Design, prototype, and deploy agentic AI solutions, predictive models, and scoring systems to optimize lead prioritization, pipeline forecasting, and GTM execution.
  • Translate complex sales workflows and business requirements into scalable technical solutions.
  • Develop dashboards, reporting systems, and measurement frameworks to track adoption, productivity, and revenue impact.
  • Ship internal tools such as Slack bots, Chrome extensions, enrichment workflows, and AI research assistants that enhance daily sales operations.
  • Collaborate closely with Sales, RevOps, and Special Projects teams to align solutions with strategic priorities and operational needs.
Requirements
  • Strong proficiency in Python for AI/ML applications, API integrations, and data manipulation (pandas, polars) with experience in LLM libraries (OpenAI, Anthropic, LangChain, etc.).
  • Advanced SQL and data modeling skills, including experience designing dimensional models, dbt projects, and complex analytical queries.
  • Hands‑on experience shipping AI applications or agent frameworks and deploying multi‑agent systems is highly preferred.
  • Familiarity with modern data tooling: data warehouses (Snowflake, BigQuery, Redshift), orchestration tools (Airflow, Dagster), BI platforms (Looker, Tableau, Hex), and enrichment tools.
  • Deep understanding of GTM operations, including sales workflows, lead scoring, pipeline analytics, and territory planning.
  • Strong systems thinking, with the ability to build scalable, maintainable, and reliable solutions with data quality, monitoring, and error handling in mind.
  • Excellent communication skills to translate technical concepts into business value for non‑technical stakeholders.
  • CEFR Level C2 / ILR Level 5 English proficiency (spoken, written, reading).
  • Bonus: Experience in SaaS analytics engineering, AI agent development, workflow automation, and sales tech stack integration.
Benefits
  • Fully remote work with flexibility across time zones.
  • Competitive U.S.-benchmarked salary and startup equity.
  • 35 days of paid time off annually plus paid sabbatical after 5 years.
  • Comprehensive medical coverage or reimbursement options for you and your family.
  • Parental leave for all parents.
  • Home office and learning & development stipends.
  • Annual bonus potential.
  • Twice‑yearly company retreats at global locations.
  • Autonomy and trust to own projects and deliver measurable impact.
Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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