[Hiring] Staff Engineer, Data Architecture & AI Platform @Fello

Role Description

You're a real software engineer first. You spent years building and scaling production systems before LLMs made it easy, and a big part of that time was on database, data platform, or infra problems, not a one-year detour. You've since gone deep on AI: agents, tool use, structured outputs, retrieval, memory. You know where a schema, a rule, or a small model beats a prompt, and you don't ship coding-agent output you can't explain.

You're opinionated about structure. When the team wants to ship a new definition of a field that already exists, you're the one who says "no, we use the canonical one, here's why." You're comfortable being the person who slows things down for the right reasons, and you explain your reasoning well enough that people start thinking that way themselves.

You want to stay deep in the technical work rather than move into pure management. You're happy juggling several products at once without a roadmap handed to you, and you give and take blunt technical feedback without it becoming a thing.

Responsibilities

• Own the data architecture across all GTM apps.
• Build and enforce a data dictionary.
• Design our ledger system for scale.
• Bridge R&D and Turbo.
• Design for scale before it hurts.
• Give agents proper data access.
• Own access and security.
• Build and harden agents that execute real workflows, with guardrails.
• Make the deterministic-vs-probabilistic call on every system.
• Set the engineering bar.
• Mentor a fast, young, AI-native team.
• Work across multiple products at once (CS, sales, marketing, metrics) and keep the architecture coherent across all of them.

Qualifications

• 7+ years of software engineering, mostly pre-LLM.
• Deep data architecture experience.
• Real distributed backend experience.
• Hands-on cloud depth, ideally AWS.
• Strong Postgres skills.
• Hands-on production experience with modern LLMs.
• Reliability instincts: structured prompting, output validation, evals, observability.
• A security posture that isn't an afterthought.
• Experience leading or mentoring engineers.

Nice to Have

• Time on a database, data platform, or infra team at scale.
• Having designed a monorepo or internal platform other teams build on.
• Chat-first assistants that take real actions.
• Small language models or decision models replacing LLM calls on high-volume tasks.
• Agent observability and evals in production.
• Vector search and retrieval at scale.
• CRM and revenue ops data models.
• Real estate or proptech context.

Benefits

• Competitive Compensation: Attractive salary and benefits package.
• Flexible Work Environment: Fully remote work with flexible hours to promote work-life balance.
• Professional Growth: Opportunities for career advancement and professional development.
• Health & Wellness: Comprehensive health and vision insurance plans.
• Paid Time Off: Generous PTO and paid holidays to recharge and relax.
• Collaborative Culture: A supportive team environment that values innovation and collaboration.
• Equity Options: Opportunity to own a part of Fello and share in our success.
• Cutting-Edge Projects: Work on innovative products that leverage AI and advanced technologies.