[Remote] Engineering Manager
Note: The job is a remote job and is open to candidates in USA. Signifyd develops AI and machine learning technology that helps ecommerce merchants prevent fraud and deliver frictionless customer experiences. The Engineering Manager will lead an ML-focused engineering team, drive delivery and technical decision-making, partner with AI and cross-functional stakeholders, and develop engineers while ensuring reliable production systems.
Responsibilities
- Manage, coach and grow a team of engineers, providing regular feedback, career development while ensuring performance remains high
- Build a healthy team culture with clear ownership, sustainable pace and high standards for quality and craftsmanship
- Recruit and onboard new engineers as needed and develop technical leadership within the team
- Manage competing priorities and expectations across multiple stakeholder groups, building trust through fostering mutual understanding, delivering consistently and communicating transparently
- Represent the team's roadmap, capacity and risks in cross-functional planning and prioritization discussions
- Drive technical discussions and design reviews, with enough depth to understand the implications of key decisions on reliability, scalability and production outcomes
- Partner with engineers on architecture and design choices, asking the right questions rather than dictating solutions
- Ensure the team's technical decisions are well understood by, and defensible to, other stakeholders
- Model and champion effective use of AI tools across the team's day-to-day work, including AI-assisted research, administrative workflows, and code generation
- Help the team develop good judgment about how to balance the productivity gains AI can bring against the risks it introduces
- Continuously look for ways AI tooling can improve team efficiency, code quality, and decision-making, and share what's working with peers
- Manage effectively through the major changes AI is bringing to the industry
- Own delivery of the team's roadmap balancing feature work, technical debt and reliability commitments
- Establish and maintain appropriate quality, testing and monitoring practices
- Provide clear, proactive communication on progress, risks and blockers to stakeholders and leadership
- Define metrics as needed and develop an understanding of why we did or didn’t hit our targets
Skills
- 5+ years working as a software engineer
- Some of that experience should be in the ML sphere
- This should not be your first time managing
- Comfortable engaging in technical discussions on architecture, data flows, and system design
- Demonstrable experience using AI tools in a professional capacity for research, administration and code generation with a clear point of view on how to use them responsibly and cost-effectively
- Strong knowledge of software development best practices, cloud computing platforms, big data technologies, MLOps toolkits, and SLO-driven reliability management
- Strong track record managing relationships with a diverse set of technical and non-technical stakeholders
- Ability to communicate clearly across audiences and influence without authority
- Comfortable navigating competing priorities and pushing back constructively when needed
- Genuine care for engineer growth and development, with experience giving structured feedback and building career paths
- Ability to build trust and psychological safety within the team while holding a high bar for output and accountability
- At least 4 years of experience managing engineers directly in an ML focused domain
- Experience working with at least one of Databricks, Spark, Airflow, Vertex and the GCP technology stack in general is preferred
Benefits
- Discretionary Time Off Policy (Unlimited!) for employees in US offices
- 401K Match for employees in US offices
- Stock Options for employees in US offices
- Annual Performance Bonus or Commissions for employees in US offices
- Paid Parental Leave (12 weeks) for employees in US offices
- On-Demand Therapy for all employees & their dependents
- Dedicated learning budget through Learnerbly for employees in US offices
- Health Insurance for employees in US offices
- Dental Insurance for employees in US offices
- Vision Insurance for employees in US offices
- Flexible Spending Account (FSA) for employees in US offices
- Short Term and Long Term Disability Insurance for employees in US offices
- Life Insurance for employees in US offices
- Company Social Events for employees in US offices
- Signifyd Swag for employees in US offices
- This role is eligible for a stock option grant of 3,000 stock options, based on the position level and internal compensation guidelines.
- This role is eligible for an annual performance bonus of up to 10% of base salary.
Company Overview
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