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About Us

Confiant is cybersecurity built for advertising. We secure the ad economy from the inside out, providing real-time intelligence and precise controls that detect and block malvertising, scams, disruptive creatives, and compliance risks before they reach users. By disrupting the business models of bad actors, Confiant empowers digital media to enforce standards, ensure quality, and uphold trust across the ad economy. We protect what matters most — revenue, reputation, and relationships — securing the foundation that allows good advertising to thrive.

Role Overview

As an Engineering Manager at Confiant, you’ll lead a small team of engineers working on high-impact systems. Your mission is to make your team effective by enabling others to do their best work. You’ll balance deep technical context with people leadership, process design, and delivery craft.

You’ll be part of a lean, senior team of managers and engineers — including peers who bring deep technical knowledge and domain expertise. We’re looking for someone who brings emotional maturity, crisp communication, and a steady hand in the face of ambiguity. You should be as comfortable leading through complexity as you are empowering others to do so.

This is a role for a seasoned people manager who has operated in messy environments, cleaned up ambiguity without creating chaos, and helped technical teams scale beyond the limitations of any one individual.

You’ll report to the Head of Engineering and partner closely with Product, Security, and other engineering leads (managers and technical leads) to create a high-performing, resilient development culture.

Key Responsibilities

• Drive Execution

  • Translate product vision into day-to-day clarity for your team

  • Remove blockers, create focus, and keep progress visible and sustainable

  • Partner with Product and Security leads to scope work and balance tradeoffs

• People Leadership

  • Coach, mentor, and support the growth of 3–6 engineers, helping them thrive and evolve.

  • Create psychological safety, model calm under pressure, and ensure accountability without blame

  • Run effective 1:1s, feedback loops, and career development plans tailored to individual needs.

  • Foster a culture of collaboration, curiosity, and continuous improvement

• Process & Delivery

  • Drive team execution by aligning sprint work to goals, removing blockers, and clarifying scope

  • Collaborate with Product and Security partners to refine priorities and delivery plans
    Improve team processes iteratively — planning, retros, standups, quality, on-call, etc.

  • Use delivery and system health metrics to guide improvements

• Technical Awareness

  • Maintain high-context understanding of your team’s systems and domains

  • Support technical design and decision-making without becoming the bottleneck

  • Partner with technical leads to ensure architecture evolves sustainably

Experience & Qualifications

• Have 1–3+ years of experience as a manager, ideally in a small-to-mid-sized startup or scale-up environment in high-scale systems

• Have a strong technical background (IC → EM path) and understand where to engage vs. step back

• Are a calm, thoughtful communicator, especially in ambiguous or high-pressure situations

• Have experience mentoring engineers and shaping team dynamics

• Are drawn to messy, complex systems — both technical and human — and find clarity through structure, empathy, high cadence communication and iteration

Nice To Haves:

• Experience in cybersecurity, adtech, or distributed, high-scale systems

• Operating in a remote-first environment

• Experience navigating post-founder-led transitions or scaling an engineering org

Benefits

• Fully Remote

• Unlimited Paid Time Off

• Sabbatical

• Stock Option Plan

• Exceptional Health Care Plans (Medical, Dental & Vision)

• FSA & Commuter Benefits

• Employee Sponsored Disability & Life Insurance

• 401(k) Plan with Automatic Employer Contribution

• Enhanced and Extended Family Leave

• Learning & Development Budget

• Yearly Office Supply Stipend

• Free Global Co-Working Membership

Confiant may use artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications. These AI/ML tools assess applications against the characteristics and qualifications relevant to the job requisition. These tools are designed to help identify potentially qualified candidates, but they do not make automated hiring decisions. The AI/ML-generated assessments are one of several factors considered in the hiring process. Our human recruiters thoroughly evaluate your skills and qualifications to determine your suitability for the role.

If you are a New York City resident, you have a right to take at least 10 business days to decide whether to proceed with submitting your information through this process. By continuing, you confirm your understanding of this notice. If you choose to proceed before the 10-business-day period expires, you are making a knowing and voluntary decision to do so.