Engineering Manager, Trust & Safety

Sniffies is hiring an Engineering Manager to lead a team of 7–9 engineers focused on trust and safety. The role oversees engineering execution, code quality, platform reliability, hiring, and the growth of the team while partnering with product, trust and safety, and infrastructure stakeholders.

Responsibilities:

• Work with frontend and backend engineers to ensure feature velocity, sound architecture, and system reliability
• Lead code reviews, particularly for backend work, to safeguard quality and build architectural understanding across the team
• Remove blockers for engineers by working with internal systems, external vendors, and cross-functional partners
• Take ownership of core technical problems within your team
• Hold regular 1:1s to understand each engineer's strengths, technical interests, and career goals
• Assign work that balances company objectives with individual growth
• Build and improve onboarding, documentation, and feedback processes that scale with the team
• Identify resourcing gaps and write clear, compelling job descriptions
• Lead hiring, including sourcing, interviewing, and evaluating candidates
• Establish and evolve development processes that improve reliability, observability, and code quality
• Encourage a culture of testing, documentation, and thoughtful tech debt management

Requirements:

• 7+ years of software engineering experience, including 2+ years in technical leadership or engineering management
• Strong full-stack fundamentals, with deeper expertise in backend systems, distributed architecture, and platform reliability
• Proven experience leading code reviews and maintaining high-quality software delivery in production
• A track record of growing and mentoring engineers at different levels
• Clear communication and a builder's mindset: you're motivated by outcomes, not just output
• Experience addressing spam, bots, fraud, or abuse (strongly preferred)
• Familiarity with modern web stacks such as Node.js, TypeScript, and React
• Experience with observability tooling
• Experience with ML-based spam detection systems