[Hiring] Senior Software Engineer @Keebo

Role Description

As a Senior Software Engineer, you'll design and scale the systems behind our platform. You'll use AI to multiply your own output and the team's, and work directly with the product to turn customer problems into shipped features.

• Design reliable systems that process large volumes of customer warehouse data
• Use AI coding tools effectively by writing clear specs and context, running agents on parallel workstreams, and reviewing their output critically
• Build shared AI workflows, guardrails, and review standards that make everyone move faster
• Evaluate new tools and models, and share the worthy ones with the team
• Write architecture docs that explain what we're building, the tradeoffs, and why
• Understand customer needs and decide what's worth building
• Mentor engineers, including working effectively with AI coding tools

Qualifications

• 5+ years of software engineering experience, including time at an early-stage startup (Seed through Series B)
• Deep experience with AI coding agents, and examples of how to scale their use across a team
• The judgment to catch AI output that is wrong, incomplete, or risky, especially with customer data, and the habit of adapting as tools change
• A track record of scaling systems as load, data, and customers grow
• Strong architectural skills, with examples
• Sound tradeoffs: you know when to ship something simple and when reliability, data integrity, or architecture can't wait
• Proficiency in Java, Python, Go, or JavaScript/TypeScript, plus strong SQL
• Experience with cloud platforms, containers, and automated deploy pipelines
• Clear, collaborative communication, especially in writing: you explain what matters and why
• Persistence and a constructive attitude when things break or plans change

Bonus Points

• Experience with data cloud platforms. Especially Snowflake or Databricks
• Experience with Angular
• Experience building AI agents, agent tooling, or Model Context Protocol servers
• Knowledge of query optimization, machine learning, or algorithm development

Compensation and Location

• The base salary is $170,000 to $200,000 for US-based candidates, plus equity.
• The role is fully remote and open to candidates living in the United States with authorization to work there.
• Visa support will not be provided.
• Core hours align with US Eastern Time.

What we Offer

• Working with a world-class team of researchers and engineers in machine learning to turn AI algorithms into scalable and automated cloud products
• For full-time positions:
• Equity
• Medical, dental, and vision benefits
• 401(k) retirement program
• Home office stipend
• Paid time off and paid parental leave
• The latest AI tools, and freedom to try new ones

Identity Verification

We verify every candidate's identity and location through on-camera interviews, ID verification, and a background check. Equipment ships only to your verified address. Misrepresenting your identity, location, or work history ends your candidacy or employment. Keebo complies with US sanctions and export control laws.

Equal Opportunity Employer

Keebo is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, gender, national origin, age, disability, genetic information, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We strive to create a diverse and inclusive workplace where everyone feels valued and respected. We encourage individuals from all backgrounds to apply.