Engineering Manager, Signifyd
$200-235k
+ This role is eligible for a stock option grant of 3,000 stock options. This role is eligible for an annual performance bonus of up to 10% of base salary. Salary dependent on location
Fraud protection & cybersecurity for eCommerce
Be an early applicant
Fraud protection & cybersecurity for eCommerce
201-500 employees
Be an early applicant
$200-235k
+ This role is eligible for a stock option grant of 3,000 stock options. This role is eligible for an annual performance bonus of up to 10% of base salary. Salary dependent on location
201-500 employees
Company mission
To empower brands with the confidence for fearless eCommerce through an end-to-end security platform that helps clients to pre-emptively prevent fraud.
Role
Who you are
- 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
- 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
- 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
- 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
What the job involves
- 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
- 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
- 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
Our take
The growth in eCommerce over the last 20 years has also caused a large rise in consumer fraud. To combat this, Signifyd provides an end-to-end platform for commerce protection.
Its solution targets issues such as money lost to chargebacks, customer dissatisfaction from mistaken declines, and operational costs due to tedious and manual transaction investigations. Its machine learning, data-driven approach helps businesses reduce false positives and wrongly declined orders, permitting them to make instant ship/don’t ship decisions and improve the experience for legitimate customers.
The company has raised significant funding in the past which has supported its development thus far. It has also secured impressive customers such as Samsung, Lenovo and Walmart.
Freddie
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Apr 2021
$205m
SERIES E
May 2018
$100m
SERIES D
Total funding: $411m
Company benefits
- Growth Opportunities
- Equity
- Exciting Workplace
- 4-day Workweek
Company HQ
Downtown San Jose, San Jose, CA
Leadership
Rajesh Ramanand
(CEO & Co-founder)They started their career at FedEx in Payments and Shipping Risk for 8 years prior to joining PayPal as Head of Risk. They left this position after 2 years in June 2011 to co-found Signifyd with Michael.
Michael Liberty
(Chief Risk Officer & Co-founder)Former CPO/COO of the company. Before this, they were the Head of Digital Goods and Platform Risk at PayPal. They also served as the Director of Business Development and then COO of GWC Warranty.
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