Staff Data & AI Engineer

Jobgether; Teletrabalho; BRL 322.000 - 430.000; Tempo integral

Resumo da oferta

A tech-focused recruiting firm is seeking a Staff Data & AI Engineer in Brazil to design and implement advanced data and AI solutions that boost sales effectiveness. This remote role involves building production-grade data pipelines and AI-powered applications while collaborating with sales teams for actionable insights. Candidates need strong Python skills, proficiency in SQL, and experience with AI applications. The position offers a competitive salary, flexible work arrangements, and generous benefits, ensuring a fulfilling and dynamic work environment.

Serviços

Fully remote work

Competitive salary and startup equity

35 days of paid time off annually

Comprehensive medical coverage

Parental leave for all parents

Home office stipends

Annual bonus potential

Twice-yearly global retreats

Qualificações

• Strong proficiency in Python, especially for AI/ML applications.
• Experience in shipping AI applications or agent frameworks is preferred.
• Strong systems thinking and ability to provide scalable solutions.

Responsabilidades

• Build and maintain production-grade data pipelines.
• Develop AI-powered applications to automate sales workflows.
• Collaborate closely with Sales and RevOps to align solutions.

Conhecimentos

Python for AI/ML applications

API integrations

SQL and data modeling

AI applications or agent frameworks

GTM operations understanding

Excellent communication skills

English proficiency (CEFR Level C2)

Ferramentas

Data warehouses (Snowflake, BigQuery, Redshift)

Orchestration tools (Airflow, Dagster)

BI platforms (Looker, Tableau, Hex)

Descrição da oferta de emprego

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

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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