Engineering Manager

Ethyca•New York City, NY

7d•Hybrid

About The Position

Ethyca is redefining trust in the age of AI. We build automated data privacy infrastructure that embeds governance directly into data, ensuring policy, consent, and control live wherever data moves. Our clients include The New York Times and the world's most advanced organizations scaling AI responsibly. We're on a mission to make trust, respect, and privacy a default feature of every tech stack. The Role As Engineering Manager, you will own the strategic direction and execution for multiple engineering teams. You'll be responsible for transforming ambitious product vision into shipped reality while multiplying the impact of autonomous A-players on your teams. This role demands someone who thinks like a founder: you'll partner directly with Product and Design to shape what we build, infuse AI into engineering processes to 10x productivity, and ensure our systems scale seamlessly for Fortune 500 enterprises managing billions of data points.

Requirements

7+ years in software engineering with 3+ years managing engineering teams Proven track record leading teams at companies serving enterprise customers at scale Experience leading multiple teams simultaneously with distinct product ownership areas
Built and operated systems serving Fortune 500 customers with stringent SLAs, security requirements, and compliance needs Experience with high-volume data processing (millions of requests/day) and multi-tenancy at scale Understanding of enterprise sales cycles, proof-of-concept processes, and customer success requirements
Strong hands-on engineering background in modern backend technologies (Python, Node.js, etc.) and/or frontend frameworks (React, TypeScript, etc.) Expertise with RESTful APIs, system integrations, and building scalable applications Experience with cloud infrastructure (AWS/GCP), CI/CD pipelines, and production operations
Natural bias to action; you'd rather ask for forgiveness than permission Track record of driving initiatives from concept to completion without being told what to do Comfortable with ambiguity; you create clarity for others when none exists
Exceptional at prioritization; you know what matters and ruthlessly cut what doesn't Systems thinker who builds repeatable processes that scale Strong written and verbal communication; excellent at documentation and stakeholder management

Nice To Haves

Hands-on experience implementing AI tools in engineering workflows Experience building AI-powered product features or infrastructure
Background in or deep collaboration with Product/Design Strong opinions on what makes great user experiences, especially when dealing with big data Ability to push back constructively on product or design decisions and propose better alternatives
Experience at high-growth startups (Series A-C ) where you wore multiple hats History of shipping 0-to-1 products or major features that moved business metrics Entrepreneurial background (founded companies, side projects, open source contributions)
Experience with privacy engineering, data governance, or security compliance Familiarity with GDPR , CCPA , or other privacy regulations Understanding of consent management, data mapping, or subject rights management

Responsibilities

Strategic Leadership & Ownership You're accountable for business results (customer satisfaction, system reliability, and competitive differentiation), not just story points completed Collaborate intensively with Product and Design to shape roadmap, challenge assumptions, and ensure we're building the right things for enterprise customers Understand the complex needs of organizations managing global privacy compliance at scale; ensure our systems meet Fortune 500 requirements for security, performance, and auditability Anticipate technical and organizational scaling challenges 6-12 months ahead and architect solutions proactively
Technical & Architectural Excellence Own architecture decisions for DSR systems, API integrations, and reporting infrastructure that must handle massive scale Drive adoption of best-in-class approaches to code quality, testing, observability, and incident response Lead adoption of AI tools across the development lifecycle, from AI-assisted code generation to intelligent testing and documentation Systems must support enterprise customers with complex global requirements; you ensure technical decisions enable 10x growth without rewrites
Build & Multiply A-Players Attract world-class engineering talent through compelling vision, strong referral network, and excellent candidate experience (target: fill roles within 45 days) Create conditions where senior engineers operate with high agency: set clear goals, provide context, remove obstacles, then get out of the way Maintain 95%+ retention of A-players through meaningful work, growth opportunities, and exceptional team culture New engineers ship meaningful code within 30 days and reach full productivity within 60 days
Execution & Velocity Embody Ethyca's value of rapid iteration: scope ruthlessly, hit deadlines, and ship early and often Continuously eliminate friction in development workflows; every sprint retrospective should yield concrete improvements Work seamlessly with Product, Design, Sales, and Customer Success to ensure engineering efforts ladder to business objectives Proactively surface risks, celebrate wins, and maintain trust through radical transparency with stakeholders
UI/UX Partnership Work alongside Design to ensure engineering constraints inform design decisions early and designs are technically feasible Champion polish and attention to detail; enterprise users expect sophisticated, intuitive interfaces Encourage engineers to build quick proofs-of-concept to validate UX approaches before full implementation