Engineering Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee a team of engineers collaborating with the AI division and the wider engineering organization.

• Transform ideas from initial concept to production while ensuring the seamless operation of existing systems.

• Engage daily with data scientists, machine learning engineers, product managers, and cross-functional stakeholders.

• Propel delivery, encourage innovation, and offer leadership to team members.

• Manage, mentor, and develop engineers through constructive feedback and career growth initiatives.

• Recruit and onboard engineers as necessary, fostering technical leadership within the team.

• Balance stakeholder priorities and expectations effectively.

• Represent the team's roadmap, capacity, and potential risks during planning discussions.

• Facilitate technical discussions and design reviews.

• Collaborate on architectural and design choices.

• Ensure that technical decisions are well-understood and justifiable to stakeholders.

• Advocate for the effective use of AI tools for research, administrative tasks, and code generation.

• Weigh AI productivity benefits against associated risks.

• Enhance team efficiency, code quality, and decision-making through AI tools.

• Take ownership of roadmap delivery, encompassing feature development, technical debt, and reliability commitments.

• Establish standards for quality, testing, and monitoring practices.

• Relay progress, risks, and obstacles to stakeholders and leadership.

• Define metrics and evaluate performance against set targets.

⛳️ Requirements

• Minimum of 5 years of experience as a software engineer, with some experience in the machine learning domain.

• At least 4 years of direct experience managing engineers in a machine learning-focused area is preferred.

• Previous engineering management experience; this should not be your initial management role.

• Comfortable engaging in technical dialogues regarding architecture, data flows, and system design.

• Proven professional experience utilizing AI tools for research, administrative tasks, and code generation.

• A clear perspective on the responsible and cost-effective use of AI tools.

• Extensive knowledge of software development best practices, cloud computing platforms, big data technologies, MLOps toolkits, and SLO-driven reliability management.

• Experience with at least one of the following: Databricks, Spark, Airflow, Vertex, or the GCP technology stack is preferred.

• A strong history of managing relationships with a variety of technical and non-technical stakeholders.

• Ability to communicate effectively across different audiences and influence without direct authority.

• Comfortable handling competing priorities and providing constructive pushback.

• Experience delivering structured feedback and developing career paths for team members.

• Capability to build trust and psychological safety while upholding high output and accountability standards.

🏝️ Benefits

• Discretionary Time Off Policy (Unlimited!)

• 401K Match

• Stock Options

• Annual Performance Bonus or Commissions

• Paid Parental Leave (12 weeks)

• On-Demand Therapy for all employees & their dependents

• Dedicated learning budget through Learnerbly

• Health Insurance

• Dental Insurance

• Vision Insurance

• Flexible Spending Account (FSA)

• Short Term and Long Term Disability Insurance

• Life Insurance

• Company Social Events

• Signifyd Swag