Staff Engineer, Data and AI Enablement

Location: Remote, based in the United States, Canada, or Mexico. Hiring is available in specified US states, Canada (AB, BC, ON), and Mexico.

Annual salary: $236,000 in San Francisco and New York; $224,000 in Austin, Boston, Chicago, DC, Los Angeles, and Seattle; $200,500 in other US locations. In Canada: C$221,500 in Vancouver and Toronto; C$205,500 in Victoria and Calgary; C$202,000 in other Canadian locations. In Mexico: MX$1,727,000.

Company

hirify.global is an open platform for democracy that uses technology, data, and AI to help people create change and strengthen civic engagement.

What you will do

• Partner with product managers to turn business and product opportunities into scalable data and AI solutions.
• Build reliable data products and batch or real-time pipelines for reporting, machine learning, experimentation, personalization, and production inference.
• Evolve platform architecture across orchestration, storage, compute, streaming, and data access using cloud-native services.
• Improve data trust through modeling, schema evolution, data contracts, testing, lineage, privacy controls, freshness, and recoverability.
• Create reusable tools, standards, and paved paths that enable teams to build dependable workflows independently.
• Lead architectural decisions, mentoring, design and code reviews, incident response, on-call participation, performance tuning, and cost optimization.

Requirements

• 7+ years of software engineering experience, including distributed systems, data platforms, ML platforms, or comparable production infrastructure.
• Hands-on experience operating large-scale batch or streaming data systems, ideally with Kafka, Spark, and workflow orchestration.
• Experience with cloud-native data infrastructure, infrastructure as code, containers, orchestration, and managed data services.
• Strong software engineering judgment with Python or comparable languages, plus data modeling and SQL expertise.
• Experience taking data or ML/AI systems into production with reliability, observability, deployment, evaluation, and operational ownership.
• Professional-level English is required; resumes and application responses must be submitted in English.

Nice to have

• Experience with embeddings, vector retrieval, LLM evaluation and observability, or agentic workflows.

Culture & Benefits

• Work remotely from eligible locations in the United States, Canada, or Mexico.
• Participate in an open platform serving people across a broad range of viewpoints.
• Equal opportunity employment and reasonable accommodations throughout the recruitment process.
• Benefits and perks vary by location.

Hiring process

• Recruiter screen.
• Hiring manager screen and technical assessment.
• Team interview followed by an executive interview.