Director of Engineering

Remote-first within the United States., Mandatory Eastern time zone hours, or Central at minimum.Full-TimeDirector

SalaryBase salary range: $215,000 - $240,000

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Job Details

Experience: 10+ years of software engineering experience, including 5+ years managing engineers and 2+ years in a senior engineering leadership role (Director, or senior-most technical leader)
Required Skills: AWSGraphQLNode.jsPostgreSQLTypeScriptNext.js

Bring 10+ years of software engineering experience.
Have 5+ years of experience managing engineers.
Have 2+ years in a senior engineering leadership role, such as Director or senior-most technical leader.
Have ideally worked at an early-stage startup or in a fast-moving environment.
Have owned technical strategy, architecture, and roadmap for a production consumer product.
Have built or scaled the team that delivered a production consumer product.
Be comfortable reviewing pull requests, reading code deeply, and responding to incidents.
Have experience with application security and third-party compliance, including security reviews, vendor questionnaires, and audits.
Have a track record of cross-department communication and relationships leading to business success.
Bring practical enthusiasm for AI-assisted development.
Know TypeScript, Next.js, Node, GraphQL, Postgres, and AWS.

Set technical strategy, make architectural decisions, and own the engineering roadmap.
Lead engineering delivery, including release management, deployment, CI/CD, release cadence, rollbacks, and production stability.
Manage security reviews, vendor and carrier questionnaires, and audits.
Prioritize technical debt and refactoring alongside feature delivery.
Establish QA and testing processes, automated coverage, manual QA, and release quality standards.
Manage on-call rotations, escalation paths, incident response, and postmortems.
Develop engineers through 1:1s and performance feedback, and hire and onboard new team members.
Evaluate internal software and manage engineering tooling, infrastructure spending, and cloud costs.
Own and evolve AI policies and practices, and lead the rollout of AI usage across the company.
Partner with product, design, partnerships, legal, and data teams on priorities, integrations, and delivery.

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