[All remote jobs](https://jobicy.com/jobs.md)[![Signifyd logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/9be4f098-221.jpg)](https://jobicy.com/company/signifyd.md)[Signifyd](https://jobicy.com/company/signifyd.md) # Engineering Manager Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/signifyd.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished23 Oct 2026Apply before22 Nov 2026Listing views50Application actions4Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Signifyd is seeking an Engineering Manager to lead an engineering team building and operating machine-learning models and services for ecommerce fraud prevention. The manager owns roadmap delivery, reliability, technical decision-making, hiring, coaching, and cross-functional alignment with AI, product, risk, and data-science stakeholders. The role requires substantial prior software engineering and direct people-management experience in an ML-focused environment, plus practical familiarity with cloud, big-data, MLOps, and SLO-driven operations. This is a US-remote leadership position with a published annual base-salary range that varies by pay zone, alongside bonus and equity eligibility. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior people and technical leadership role requiring sound judgment across ML systems, production reliability, organizational priorities, and team development. The manager must make defensible technical decisions while aligning several stakeholder groups with competing needs. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$217,500US market range (per year)$200k–$245k0$269.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly publishes a US annual base-salary range of $200,000–$235,000 USD, with $217,500 as the midpoint. The estimated US market range for a senior Engineering Manager leading ML-focused teams is $200,000–$245,000 USD annually; this is an AI estimate rather than verified compensation research. ## Core skills Skills and capabilities most closely associated with this opportunity. [Engineering leadership](https://jobicy.com/jobs?search_keywords=Engineering%20leadership.md)[People management](https://jobicy.com/jobs?search_keywords=People%20management.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[Software architecture](https://jobicy.com/jobs?search_keywords=Software%20architecture.md)[Cloud computing](https://jobicy.com/jobs?search_keywords=Cloud%20computing.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Apache Airflow](https://jobicy.com/jobs?search_keywords=Apache%20Airflow.md)[System design](https://jobicy.com/jobs?search_keywords=System%20design.md)[Reliability engineering](https://jobicy.com/jobs?search_keywords=Reliability%20engineering.md)[SLO management](https://jobicy.com/jobs?search_keywords=SLO%20management.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Technical roadmap delivery](https://jobicy.com/jobs?search_keywords=Technical%20roadmap%20delivery.md) Sample interview questionsHow have you balanced feature delivery, technical debt, and reliability commitments for an engineering team?I establish an outcome-based roadmap that reserves explicit capacity for reliability and technical-debt work, then review service health, delivery risk, and customer impact regularly. I make trade-offs visible to stakeholders early and use agreed metrics to decide when operational work must take priority. Describe a technical decision you led for a machine-learning platform without dictating the implementation to your team. I frame the decision around the business outcome, constraints, reliability requirements, and viable options. I facilitate design review, ask questions about data quality, scalability, observability, and operational ownership, and document the rationale so the team retains ownership while stakeholders understand the decision. How do you develop engineers working in an ML-focused domain? I set clear expectations for scope, technical depth, collaboration, and operational ownership, then use regular one-to-ones and actionable feedback to create individualized growth plans. I also create opportunities for engineers to lead design reviews, own production improvements, and collaborate with data scientists and product partners. What is your approach to using AI-assisted development tools responsibly? I encourage teams to use AI tools where they improve research, documentation, and implementation speed, but pair usage with code review, testing, security controls, and verification of outputs. The goal is to gain productivity without weakening engineering judgment, intellectual-property safeguards, or production quality. How would you build trust with product, risk, AI, and engineering stakeholders who have competing priorities? I would create a shared view of goals, capacity, dependencies, and risks through regular planning and concise status communication. When priorities conflict, I would clarify impact and decision criteria, propose options, and communicate the resulting commitments and trade-offs consistently. Opportunity details ## About this role. At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values [here](https://www.signifyd.com/about/#values)! ### Role Overview Signifyd uses the latest in AI and machine learning technology to give our ecommerce customers the confidence they need to do business free from fears of fraud and other forms of ecommerce abuse. In order to do this we have to continually innovate and nowhere is this more important than in our modeling space. The modeling group creates, deploys and runs the models and services that keep us a step ahead and right now we need an engineering manager to help us build our next generation technology. The successful candidate will lead a team of engineers who will partner with our AI group and engineering as a whole to help bring ideas from conception to production, while ensuring the systems we already have continue to run smoothly. It’s a role for someone who can operate comfortably on both sides of the technical/business line, contributing to technical discussions but people-focused enough to build the relationships between engineering, our AI lab, product and our risk management organization. You will work daily with data scientists, machine learning engineers, product owners and other cross-functional stakeholders whose work depends on your team’s systems. Success means being a trusted translator and partner across all of these groups, not just a manager of your own team’s output. Your core responsibilities are delivery, fostering innovation and people leadership. How hands-on you get as part of that is up to you but you will be expected to drive closure on technical decisions and implementation. ### Key Responsibilities (outcome and accountability) ### 1. Team Leadership & Growth * 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. ### 2. Stakeholder & Relationship Management * 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. ### 3. Technical Engagement & Decision-Making * 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. ### 4. AI-Enabled Ways of Working * 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. ### 5. Delivery & Operational Rigor * 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. ### Qualifications & Skills (experience / depth) ### Experience * 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 and we’d prefer at least 4 years of experience managing engineers directly in an ML focused domain. ### Technical & AI Fluency * 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. * Experience working with at least one of Databricks, Spark, Airflow, Vertex and the GCP technology stack in general is preferred. ### Stakeholder Management & Communication * 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. ### Leadership * 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. #LI-Remote Benefits in our US offices: * 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 Compensation: In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions. Base Salary Ranges by Pay Zone: * Tier 1 (NYC/SF Bay Area/Seattle): $210,000 – $235,000 annually * Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $205,000 – $230,000 annually * Tier 3 (US – All Other): $200,000 – $225,000 annually Equity: This role is eligible for a stock option grant of 3,000 stock options, based on the position level and internal compensation guidelines. Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary. We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, abilities, and location, as well as internal equity and alignment with market data. USA Base Salary Pay Range $200,000—$235,000 USD [Signifyd’s Applicant Privacy Notice](https://drive.google.com/file/d/1HSnMY6HGjB1FNRX4Ez9bUre5mrPPcHIq/view?usp=sharing) Show more [Apply now >](https://jobicy.com/jobs/156639-engineering-manager-12.md) > Annual salary information is not provided for this position. 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