Engineering Manager, Customer Trust

This full-time, remote leadership role sits within a high-visibility product area focused on helping organizations build and demonstrate customer trust.
You’ll lead two engineering squads with a combined team of 11 engineers, overseeing products that automate security assessments and enable transparent trust communication.
The role is strongly execution-oriented, with established product-market fit and clear roadmaps that require disciplined, high-quality delivery.
You’ll partner closely with product and design to shape priorities, make tradeoffs, and ensure engineering plays an active role in product decisions.
You’ll remain technically engaged through architecture discussions, technical specifications, and engineering decision-making without being expected to write all the code yourself.
Beyond delivery, you’ll develop and retain high-performing engineers while helping strengthen engineering practices and culture across the organization.
This opportunity is ideal for an experienced engineering manager who combines strong execution, technical judgment, product thinking, and a passion for using AI to improve how teams work.

• Engineering management experience: At least 2 years of full-time experience managing engineering teams, ideally with teams of 6–8 or more engineers.
• Execution leadership: Demonstrated success leading high-execution teams with disciplined delivery practices, including technical specification reviews, weekly goal tracking, project visibility, and timeline accountability.
• People leadership: Proven experience managing, mentoring, and developing senior individual contributors and creating an environment where engineers can perform at their best.
• Product engineering background: Experience leading teams that build customer-facing software, rather than primarily infrastructure or platform-focused products.
• Technical expertise: Strong technical judgment and comfort participating in architecture discussions, reviewing technical specifications, and making informed engineering tradeoffs.
• Product and technical strategy: Ability to shape product direction and long-term technical strategy in close partnership with product management.
• Decision-making: Strong judgment and decision-making skills, with the ability to balance ambiguity, available data, speed, quality, and business priorities.
• AI fluency: Regularly uses AI in day-to-day work to amplify capabilities and improve outcomes, while actively developing AI fluency through experimentation and applying sound judgment to maintain a high quality standard.
• Communication and collaboration: Strong interpersonal skills and the ability to work effectively across engineering, product, design, go-to-market, and other business functions.
• Leadership mindset: Ability to foster a culture of ownership, accountability, collaboration, continuous improvement, and sustainable performance.