Jobs for engineers, developers, marketing & more | Signifyd https://www.signifyd.com/jobs/ Fraud and Consumer Abuse Protection for Companies Thu, 04 Jul 2024 08:00:19 +0000 en hourly 1 https://wordpress.org/?v=6.5.4 https://www.signifyd.com/wp-content/uploads/2020/11/cropped-Signifyd-Logo-Favicon-512x512-solid-32x32.png Jobs for engineers, developers, marketing & more | Signifyd https://www.signifyd.com/jobs/ 32 32 Freelance Design Standards & Documentation Specialist https://www.signifyd.com/jobs/freelance-design-standards-documentation-specialist/ Tue, 02 Jul 2024 17:48:39 +0000 https://www.signifyd.com/jobs/freelance-design-standards-documentation-specialist/ We are looking for a candidate with a keen eye for detail, strong organizational skills, and a passion for maintaining brand integrity across all touchpoints. This position offers the opportunity to contribute to Signifyd’s design ecosystem and make a tangible impact on our brand’s visual identity. If you thrive in a collaborative environment, are adept…

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We are looking for a candidate with a keen eye for detail, strong organizational skills, and a passion for maintaining brand integrity across all touchpoints. This position offers the opportunity to contribute to Signifyd’s design ecosystem and make a tangible impact on our brand’s visual identity. If you thrive in a collaborative environment, are adept at managing multiple tasks concurrently and enjoy taking initiative when you see a need, we want to hear from you. This is a freelance opportunity.

Duties:  

  • Design reviews: Meticulously examine all visual deliverables, such as web pages, emails, e-books, and social media images, to ensure brand consistency and visual coherence. 
  • Developing and refining brand standards: Collaborating with designers to clarify and establish brand guidelines.
  • Documentation: Thoroughly documenting brand standards and processes for easy reference and accessibility. This also includes regularly updating and maintaining the design system to reflect the latest brand standards and design principles.
  • Template and module creation: Crafting templates and example modules for various digital deliverables.

Must have:

  • Experience in graphic design or development for web, digital, email
  • Experience with UX and creating a visual brand
  • Solid proficiency with Adobe Creative Cloud (Photoshop, Illustrator, InDesign)
  • Ability to handle multiple priorities on tight deadlines without compromising quality
  • Ability to jump in and take initiative and create projects where there is a need 
  • Ability to communicate to both technical and non-technical team members and clients in a clear and concise way
  • Ability to project-manage and coordinate between teammates
  • Knowledge of basic HTML and CSS
  • Positive attitude, attention to detail, great work ethic and a drive for excellence
  • Strong organizational skills

Nice to have:

  • A design portfolio
  • Experience with Figma
  • Experience with managing or creating brand guidelines for a company
  • Experience with content writing or copyediting
  • Understanding of AP Style
  • Proficiency in languages beyond English
  • Experience with Atlassian Jira and Confluence
  • Experience with Figma, Frontify, Google Suite, Slack, Zoom

#LI-Remote

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, and abilities, as well as internal equity and alignment with market data.

USA Base Salary Pay Range
$25$35 USD

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Managing Commercial Counsel https://www.signifyd.com/jobs/managing-commercial-counsel/ Mon, 01 Jul 2024 16:49:18 +0000 https://www.signifyd.com/jobs/managing-commercial-counsel/ Come work for the #1 choice for enterprise ecommerce retailers. Signifyd provides an end-to-end Commerce Protection Platform that leverages its Commerce Network to maximize conversion, automate customer experience and eliminate fraud and consumer abuse risk for retailers. Its solutions provide the transparency and control that brands need to succeed in the rapidly changing world of…

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Come work for the #1 choice for enterprise ecommerce retailers. Signifyd provides an end-to-end Commerce Protection Platform that leverages its Commerce Network to maximize conversion, automate customer experience and eliminate fraud and consumer abuse risk for retailers. Its solutions provide the transparency and control that brands need to succeed in the rapidly changing world of commerce. Signifyd was named among the 10 Most Innovative Companies in AI by Fast Company, and Digital Commerce 360 named Signifyd the leading provider of payment security and fraud prevention for ecommerce’s largest brands three years in a row. The company is headquartered in San Jose, CA, with locations in Denver, New York, Mexico City, São Paulo, Belfast and London.

Signifyd is seeking a highly skilled, creative and collaborative Managing Commercial Counsel, reporting to our Head of Commercial Legal, responsible for reviewing, drafting, revising, negotiating and advising on a broad range of complex commercial transitions. Someone who gets deals done. This is a unique opportunity to join a dedicated legal team and work at the forefront of helping to deliver fraud detection and prevent solutions to merchants around the world!

You will primarily support our global sales team to structure, draft and negotiate a variety of go-to-market agreements. This role will manage a team of contracts managers that support the Sales teams and acts as the primary Legal support on review and negotiation of buy and sell side commercial transactions in the U.S., EMEA, Mexico, and Central and South America.  In addition to our go-to-market teams, you will work closely with other key stakeholders to structure and negotiate complex, often bespoke agreements, for enterprise and strategic partnerships engagements.

The ideal candidate is a mid-level to senior attorney. You should enjoy close collaboration with legal and sales colleagues and generally, approach legal issues practically and with a problem-solving mindset.

Primary Responsibilities

  • Independently draft and negotiate a variety of commercial transactions, including complex subscription agreements, partnership deals, working closely with our Sales organization to close revenue deals.
  • Lead and manage a highly effective team of contracts managers supporting go-to-market portfolio of ecommerce merchants in the U.S., EMEA, Mexico, and South America.
  • Support other cross-functional teams, such as marketing, partnerships and product with commercial and vendor transactions.
  • Assist with additional legal projects as necessary to support Signifyd’s rapid growth and expansion.
  • Manage numerous projects simultaneously with deadlines and pressures.
  • Exercise sound legal judgment and ability to solve problems in a practical manner.

What we’re looking for:

  • JD degree, with admission to a state bar.
  • 5-10+ years of experience, with a strong background in commercial and tech transactions and revenue generating deals.
  • A clear concise communicator who can explain complex and nuanced issues in plain and simple terms.
  • Experience supporting a global sales organization and keeping pace with a steady volume of commercial transactions in a fast-paced, high-growth environment.
  • Strong organizational and project management skills.
  • Must be comfortable working in lean teams and wearing multiple hats. 
  • Can successfully manage workload and priorities with minimal oversight.
  • An approachable team player, problem-solver, and a good sense of humor.

Preferred qualifications:

  • Has lead, trained, and developed a team of contract managers or similar teams
  • Familiarity with (i) payments, fintech or financial institutions and/or (ii) machine learning models. 
  • Bonus points for attorneys who can also conduct commercial negotiations in Spanish or Portuguese
  • Experience supporting sales for enterprise SaaS, especially negotiating referral, and partnership deals.
  • Experience with global privacy frameworks (i.e. GDPR, CCPA, LGPD)

Work Locations & Travel Requirements:

This position is open to the following preferred office locations:

  • Preference for attorneys on the East Coast (particularly in New York City in close proximity to the Signifyd office)
  • San Francisco, California
  • Denver, Colorado
  • Salt Lake City, Utah

Signifyd currently embraces a largely remote work model, with options to go into the office if you are near a Signifyd location.

#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

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, and abilities, as well as internal equity and alignment with market data.

USA Base Salary Pay Range
$180,000$195,000 USD

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Senior Enterprise Customer Success Manager https://www.signifyd.com/jobs/senior-enterprise-customer-success-manager-2/ Wed, 26 Jun 2024 20:51:06 +0000 https://www.signifyd.com/jobs/senior-enterprise-customer-success-manager-2/ RESUMES MUST BE SUBMITTED IN ENGLISH  As a Senior Enterprise Customer Success Manager (CSM) at Signifyd, you’ll be responsible for the success, net retention and expansion within the accounts in your portfolio. You will combine technology expertise, business acumen and passion for customer success to drive our customers’ and company’s expected outcomes.  We are looking…

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RESUMES MUST BE SUBMITTED IN ENGLISH 

As a Senior Enterprise Customer Success Manager (CSM) at Signifyd, you’ll be responsible for the success, net retention and expansion within the accounts in your portfolio. You will combine technology expertise, business acumen and passion for customer success to drive our customers’ and company’s expected outcomes.  We are looking for team members who are excited to learn our platform and become fluent in the functional areas (fraud, e-commerce and payments) where we deliver value. As a trusted advisor with deep product and industry knowledge, you’ll be able understand customers’ business objectives and help them optimize performance. You’ll collaborate internally with management & broader cross-functional groups to provide an outstanding customer experience and drive continuous improvement for Signifyd. 

Responsibilities:

  • Oversee the customer lifecycle and ensure ongoing client satisfaction and retention of a portfolio of assigned clients
  • Leverage knowledge of the Signifyd platform to advise on best practices around product usage with end-users
  • Identify, establish, and strengthen relationships with current and potential stakeholders within your accounts
  • Successfully close renewals and seek out additional expansion opportunities within your book of business
  • Ensure swift resolution of account issues by leveraging resources from cross-functional teams, as needed
  • Work closely with Marketing to identify and convert successful customers into advocates
  • Embody Signifyd values and serve as a role model for other team members
  • Develop collateral and conduct periodic business reviews with client executive teams
  • Act as a face of the company at trade shows and other key industry events, both virtually and in person 

Requirements for position:

  • 5+ years of Customer Success Management and/or Account Management; technology background required
  • Proven customer management experience with large and complex accounts
  • Excellent communication and presentation skills
  • Professional fluency in Portuguese, English and Spanish
  • An analytical and metrics-driven work style
  • Ability to analyze complex situations and develop associated action plans and lead teams to achieve key objectives
  • Deep experience generating and manipulating data for internal and external presentations (GSuite, Microsoft Excel, Looker, etc.)
  • Driven, resourceful, detail-oriented, and highly organized
  • Self-starter who thrives under ambiguity in a fast-paced, deadline-oriented environment
  • Background in e-commerce, fraud or payments industries is a plus

 

#LI-Remote

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.

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Staff Software Engineer, ML Engineering https://www.signifyd.com/jobs/staff-software-engineer-ml-engineering/ Tue, 25 Jun 2024 15:17:14 +0000 https://www.signifyd.com/jobs/staff-software-engineer-ml-engineering/ Who Are You We seek a highly skilled and experienced Staff Software Engineer to join our dynamic and growing ML Engineering team. As a Staff Software Engineer for ML Engineering, you will build platforms that empower fellow engineers and Data Scientists to create market-leading fraud prevention products. We want you to help us lead the…

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Who Are You

We seek a highly skilled and experienced Staff Software Engineer to join our dynamic and growing ML Engineering team. As a Staff Software Engineer for ML Engineering, you will build platforms that empower fellow engineers and Data Scientists to create market-leading fraud prevention products. We want you to help us lead the scaling of our business, make data-driven decisions, and contribute to our overall ML and data strategy. The ideal candidate must: 

  • Effectively communicate complex data problems by tailoring the message to the audience and presenting it clearly and concisely. 
  • Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
  • Ability to work independently in a dynamic environment and proactively approach problem-solving.
  • Be committed to driving positive business outcomes through expert data handling and analysis.
  • Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
  • Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.
  • Design and build clear, understandable, simple, clean, and scalable solutions.

What You’ll Do

  • Be an individual contributor who can navigate between design/architecture and execution of the design.
  • Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence, working closely with Engineering and Data Science teams across Signifyd’s R&D group.
  • Work alongside ML Engineers, Data Scientists, and other Software Engineers to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
  • Take full ownership of significant portions of our ML processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.
  • Own the significant advancement of our model training and data processing ecosystem, including the evolution of our feature stores and data processing pipelines.
  • Architect, deploy, and optimize ML and Data solutions on AWS, developing scalable data processing solutions to streamline data operations and analysis and enhance data solution deployments.
  • Implement data and ML processing solutions for offline, batch, and real-time use cases.
  • Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
  • Identify and address gaps in team capabilities and processes to enhance team efficiency and success.
  • Automate monitoring of model performance and user behavior.
  • Influence the tooling, frameworks, and ML practices with the ML teams.

What You’ll Need

  • Ideally has 5-10 years of experience in data/ML engineering, including at least five years of experience as a software or machine learning lead. Have successfully navigated the challenges of working with large-scale data processing systems.
  • Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark experience.
  • Experience in building low-latency, high-availability data stores for use in real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL.
  • Hands-on expertise in data technologies with proficiency in Spark, Airflow, Databricks, AWS services (S3, EMR, SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
  • Significant experience in programming languages such as Java, Python, or Scala and experience understanding Cloud infrastructure environments including Kubernetes and Serverless.
  • Working knowledge of ML algorithms, clustering algorithms, and binary classifiers (such as XGBoost)
  • Experience using feature stores: homegrown solutions or commercial and open-source products like Tecton and Chronon.
  • Experience with the latest technologies and trends in Data, ML, and Cloud platforms.
  • Demonstrable ability to lead and mentor engineers, fostering their growth and development. 
  • You have successfully partnered with Product, Data Engineering, Data Science, and Machine Learning teams on strategic data initiatives.
#LI-Hybrid

Benefits:

  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 3%
  • ‘Day one’ access to great health insurance scheme
  • Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads)
  • Paid team social events
  • Mental wellbeing resources
  • Dedicated learning budget through Learnerbly
  •  

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Senior Software Engineer, ML Engineering https://www.signifyd.com/jobs/senior-software-engineer-ml-engineering/ Tue, 25 Jun 2024 15:16:13 +0000 https://www.signifyd.com/jobs/senior-software-engineer-ml-engineering/ Who Are You We seek a skilled and highly motivated Senior Software Engineer to join our dynamic and growing ML Engineering team. As a Senior Software Engineer for ML Engineering, you will be part of the team that builds platforms that empower fellow engineers and Data Scientists to create market-leading fraud prevention products. We want…

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Who Are You

We seek a skilled and highly motivated Senior Software Engineer to join our dynamic and growing ML Engineering team. As a Senior Software Engineer for ML Engineering, you will be part of the team that builds platforms that empower fellow engineers and Data Scientists to create market-leading fraud prevention products. We want you to help us scale our business, make data-driven decisions, and contribute to our overall ML and data strategy. The ideal candidate must:

  • Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
  • Ability to work independently in a dynamic environment and proactively approach problem-solving.
  • Be committed to driving positive business outcomes through expert data handling and analysis.
  • Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
  • Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.

What You’ll Do

  • Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence, working closely with Engineering and Data Science teams across Signifyd’s R&D group.
  • Work alongside ML Engineers, Data Scientists, and other Software Engineers to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
  • Contribute to all processes of the ML lifecycle: data collection, annotation, modeling, evaluation, deployment, and monitoring.
  • Write production-quality code for ML models as online services and APIs.
  • Implement data and ML processing solutions for offline, batch, and real-time use cases.
  • Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
  • Identify and address gaps in team capabilities and processes to enhance team efficiency and success.
  • Automate monitoring of model performance and user behavior.
  • Take ownership of solutions from analysis to implementation.
  • Influence the tooling, frameworks, and ML practices with the ML teams.
  • Stay updated with the latest in Data Science and ML tooling & communities
  • Present complex analyses clearly and concisely.

What You’ll Need

  • Ideally has 3-7 years of experience in data/ML engineering. Has experience navigating the challenges of working with large-scale data processing systems.
  • Experience in contributing toward or building low-latency, high-availability data stores for real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL.
  • Hands-on expertise in data technologies with proficiency in Spark, Airflow, Databricks, AWS services (S3, EMR, SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
  • Experience in programming languages such as Java, Python, or Scala and experience understanding Cloud infrastructure environments including Kubernetes and Serverless.
  • Working knowledge of ML algorithms, clustering algorithms, and binary classifiers (such as XGBoost)
  • Solid knowledge of ML principles applied to recommendation systems.
  • Familiarity with relational databases (Postgres, MySQL, etc).
  • Experience using feature stores is a plus: homegrown solutions or commercial and open-source products like Tecton and Chronon.
#LI-Hybrid

Benefits:

  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 3%
  • ‘Day one’ access to great health insurance scheme
  • Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads)
  • Paid team social events
  • Mental wellbeing resources
  • Dedicated learning budget through Learnerbly
  •  

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Senior Engineering Manager https://www.signifyd.com/jobs/senior-engineering-manager/ Fri, 21 Jun 2024 16:03:44 +0000 https://www.signifyd.com/jobs/senior-engineering-manager/ Who Are You We seek a highly skilled and experienced Senior Engineering Manager to join our dynamic Integrations and Growth team. As a Senior Engineering Manager, you will play a crucial role in strengthening and expanding the core of our APIs. We want you to be a leader in scaling our APIs and eCommerce integrations…

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Who Are You

We seek a highly skilled and experienced Senior Engineering Manager to join our dynamic Integrations and Growth team. As a Senior Engineering Manager, you will play a crucial role in strengthening and expanding the core of our APIs. We want you to be a leader in scaling our APIs and eCommerce integrations to support our customers, engineers, and data science teams. You will lead a team of talented software engineers and architects to envision how our microservice architecture will evolve to support the expansion of Signifyd’s core products. The ideal candidate must: 

 

  • Have a deep understanding of eCommerce integrations and public-facing APIs.
  • Collaborate with cross-functional teams to define project requirements and deliverables.
  • Effectively communicate complex problems by tailoring the message to the audience and presenting it clearly and concisely. 
  • Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
  • Have the ability to work independently in a dynamic environment and proactively approach problem-solving.
  • Be an example for fellow engineers and leaders by showcasing customer empathy, creativity, curiosity, and tenacity.

What You’ll Do

  • Provide vision and set the direction for the team, motivating them, providing guidance, championing innovation, and promoting a positive culture for the team’s success.
  • Encourage collaboration across the organization, breaking down silos and ensuring the best outcomes for Signifyd.
  • Promote talent development by championing career growth, fostering personal development, and embracing diverse hiring practices.
  • Have an ability to debug organisational issues and know how to adjust to realise improvements
  • Ensure software and architecture excellence is maintained by reviewing designs against technical strategy, regularly reviewing system health metrics and adopting Signfiyds testing best practices.
  • Oversee the development and maintenance of public-facing APIs, ensuring they are reliable, scalable, and well-documented
  • Collaborate with external partners and clients to understand their integration needs and provide technical support as needed.
  • Collaborate with internal teams to educate and improve knowledge sharing on areas of the platform that fall into your direct area of ownership
  • Have crisp communication on topics ranging from design to organisational change ensuring that there is alignment, understanding and context
  • Drive results by aligning delivery to measurable business and internal KPIs 

What You’ll Need

  • 7+ years of industry experience, most recently in a senior management position
  • Demonstrable ability to hire, lead and coach managers and senior engineers, fostering their growth and development.
  • Experience in building and contributing to a team culture that spans across geographic regions  that achieves a well-designed system through a commitment to learning and continuous improvement
  • Strong communication skills to convey complex technical concepts effectively to diverse audiences, both verbally and in writing. An active listener with an ability to convey empathy and adapt their style of communication to the audience
  • Hands on experience in architecting and deploying low-latency, high-quality, high-scale solutions

#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

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, and abilities, as well as internal equity and alignment with market data.

USA Base Salary Pay Range
$216,000$260,000 USD

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Senior Data Scientist, Hungary https://www.signifyd.com/jobs/senior-data-scientist-hungary/ Mon, 17 Jun 2024 16:16:31 +0000 https://www.signifyd.com/jobs/senior-data-scientist-hungary/   The Data Science team builds production machine learning models that are the core of Signifyd’s product. We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account…

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The Data Science team builds production machine learning models that are the core of Signifyd’s product.

We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking less profitable for criminals.

The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.

We value collaboration and team ownership — no one should feel they’re solving a hard problem alone.

Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.

The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren’t new to us and we strive to iteratively improve our remote culture.

How you’ll have an impact:

  • Build production machine learning models that identify fraud
  • Write production and offline analytical code in Python
  • Work with distributed data pipelines
  • Communicate complex ideas to a variety of audiences
  • Collaborate with engineering teams to strengthen our machine learning platform

Past experience you’ll need:

  • A degree in computer science or a comparable analytical field
  • 6+ years of post-undergrad work experience required
  • Building production ML models
  • Using visualizations to communicate analytical results to members outside your team
  • Hands-on statistical analysis with a solid fundamental understanding
  • Writing code and reviewing others’ in a shared codebase, preferably in Python
  • Practical SQL knowledge
  • Designing experiments and collecting data
  • Familiarity with the Linux command line

Bonus points if you have:

  • Previous work in fraud, payments, or e-commerce
  • Data analysis in a distributed environment
  • Passion for writing well-tested production-grade code
  • A Master’s Degree or PhD

Check out how Data Science is powering the new era of Ecommerce

Check out our Director of Data Science featured in Built In

#LI-Hybrid

Benefits:

  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 3%
  • ‘Day one’ access to great health insurance scheme
  • Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads)
  • Paid team social events
  • Mental wellbeing resources
  • Dedicated learning budget through Learnerbly
  •  

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Staff Data Scientist, Hungary https://www.signifyd.com/jobs/staff-data-scientist-hungary/ Mon, 17 Jun 2024 16:13:49 +0000 https://www.signifyd.com/jobs/staff-data-scientist-hungary/ Signifyd helps businesses of all sizes minimize their fraud exposure and grow their sales. Signifyd improves the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals. The Data Science organization at Signifyd is responsible for building, maintaining, and monitoring production…

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Signifyd helps businesses of all sizes minimize their fraud exposure and grow their sales. Signifyd improves the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals.

The Data Science organization at Signifyd is responsible for building, maintaining, and monitoring production ML models and risk management tools that are the core of Signifyd’s product. The Senior Analyst will be part of the Merchant Solutions team within the Data Science organization. The Merchant Solutions team maintains a balance between custom and scalable solutions for Signifyd’s customers, and the Senior Analyst will be a direct influencer on how to balance the team’s approach of custom vs scalable solution development. In addition to influencing the team’s approach, the Senior Analyst will also help ensure solutions are achieving their desired results and make recommendations to adjust approaches as needed.

In terms of culture, we value collaboration and team ownership — no one should feel they’re solving a hard problem alone. Working across job functions, team boundaries, and hierarchies is not only encouraged but is required to be successful at Signifyd. We’re all in the same boat, and value team members that both seek to influence the direction of travel, and actively contribute to helping Signifyd improve the e-commerce shopping experience. 

How you’ll have an impact:

  • Build production machine learning models that identify fraud
  • Collaborate with engineering teams to strengthen our machine learning platform
  • Own and ship multiple large products, complex libraries or major pieces of software
  • Deepen our understanding of the key entities used in our decisions
  • Write production and offline analytics code in Python
  • Communicate complex ideas to a variety of audiences
  • Lead a wide range of complex situations across multiple axes: scale, uncertainty, and  interconnectedness

Past experience you’ll need:

  • A degree in computer science or a comparable analytical field
  • 6+ years of post-undergrad work experience required
  • Building production ML models
  • Using visualizations to communicate analytical results to members outside your team
  • Hands-on statistical analysis with a solid fundamental understanding
  • Writing code and reviewing others’ in a shared codebase, preferably in Python
  • Practical SQL knowledge
  • Designing experiments and collecting data
  • Familiarity with the Linux command line

Bonus points if you have:

  • Previous work in fraud, payments, or e-commerce
  • Data analysis in a distributed environment
  • Passion for writing well-tested production-grade code
  • A Master’s Degree or PhD

Check out how Data Science is powering the new era of Ecommerce

Check out our Director of Data Science featured in Built In

#LI-Hybrid
 

Benefits:

  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 3%
  • ‘Day one’ access to great health insurance scheme
  • Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads)
  • Paid team social events
  • Mental wellbeing resources
  • Dedicated learning budget through Learnerbly
  •  

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Head of Data Science, Hungary https://www.signifyd.com/jobs/head-of-data-science-hungary/ Mon, 17 Jun 2024 16:03:17 +0000 https://www.signifyd.com/jobs/head-of-data-science-hungary/ Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of retail’s most recognizable brands, we are focused on using technology to increase customer lifetime value and protect eCommerce businesses from fraud so they can focus on selling. We…

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Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of retail’s most recognizable brands, we are focused on using technology to increase customer lifetime value and protect eCommerce businesses from fraud so they can focus on selling.

We process billions in ecommerce transactions annually through our Commerce Network of thousands of merchants selling in more than 100 countries. We use machine learning and artificial intelligence in new and creative ways to maximize our customers’ revenue and their security. None of that happens without the right people.

The Data Science organization at Signifyd is responsible for building, maintaining, and monitoring advanced, production grade ML models and risk management tools that are at the core of Signifyd’s products. We make fraud prevention at scale possible. Our models, features, and analysis keep us many steps ahead of fraudsters and their constantly evolving tactics. Our research and experiments develop into new products that improve the merchant payments experience.  We are fearless in our approach to advancing company goals. In summary, Data Science enables Signifyd to take on risks that others cannot. 

About The Role

We are seeking a Head of Data Science Platforms (HDSP) who loves developing people as much as they love developing models and catching fraud.  They should believe quality and velocity are not at odds, that you can build systems which ensure high quality while moving fast. 

The responsibilities of the Head of DS fall into three categories:

  1. Attract, hire, and develop great people.  To have great ideas, you must have a lot of ideas.  To execute on those ideas, you must have a lot of great people.  The HDSP is responsible for building a team that generates great ideas and has the skills to execute on them.
  2. Create a culture that rewards curiosity, cooperation, and continuous improvement.  We get better through thousands of small experiments and improvements executed over a long period of time by many people.
  3. Remove blockers.  We hire motivated people who want to move quickly and produce.  Blockers come in the form of technical debt, miscommunication, or skill deficiencies.  The HDSP should be relentlessly focused on eliminating blockers that stop people from moving quickly, whether that means prioritizing tech debt, developing consensus, or teaching new skills.

This role reports to the SVP of Data Science.  

Responsibilities

  • Develop a culture that is comfortable with decentralized decision-making and which builds systems that are optimized for change and adaptability.  
  • Establish resourcing and talent plans to deliver against a rapidly changing roadmap.
  • Crisply communicate technical concepts to non-technical internal stakeholders as well as customers.
  • Establish and lead a Budapest team; enable smooth collaboration across offices and time zones.
  • Collaborate with the other VPs in R&D (the VPs of Product and Engineering), as well as other members of the Senior Leadership Team to develop a common roadmap and execution plan.
  • Build and maintain a Feature Engineering and ML Platform to enable faster feature generation, the use of larger training sets, and more frequent model iteration.
  • Support with building, maintaining, and executing our roadmap
  • Close the loop from tagging of MOs, to new feature generation, to model development or rules
  • Establish common hiring and career development standards and oversee their implementation in Budapest.
#LI-Hybrid

Benefits:

  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 3%
  • ‘Day one’ access to great health insurance scheme
  • Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads)
  • Paid team social events
  • Mental wellbeing resources
  • Dedicated learning budget through Learnerbly

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Staff Product Manager of Risk https://www.signifyd.com/jobs/staff-product-manager-of-risk/ Mon, 17 Jun 2024 14:58:19 +0000 https://www.signifyd.com/jobs/staff-product-manager-of-risk/ About Signifyd At Signifyd, we empower businesses to embrace the future of commerce, eliminating fraud and promoting trust and convenience across e-commerce transactions. Our innovative solutions drive growth for retailers by making their customers feel safe and valued. We are on a mission to build trust and convenience at every step of the e-commerce experience.…

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About Signifyd

At Signifyd, we empower businesses to embrace the future of commerce, eliminating fraud and promoting trust and convenience across e-commerce transactions. Our innovative solutions drive growth for retailers by making their customers feel safe and valued.

We are on a mission to build trust and convenience at every step of the e-commerce experience. If you are passionate about product innovation and eager to develop solutions that address real-world challenges in e-commerce fraud, we would love to hear from you.

We are on a pivotal moment of our trajectory in rapid expansion, reaching true scale and competing for key areas of the market. We need strong strategic leaders to help drive the new future of our offering. 

Role Overview

As a Staff Product Manager for our Risk Platform, you will spearhead the development of a cutting-edge platform aimed at detecting and mitigating risks in e-commerce transactions. You will play a pivotal role in enabling both internal and external risk operations teams to identify risk, manage rules and thresholds effectively, ensuring a scalable and adaptable product that aligns with dynamic market needs.We have an amalgamation of different tools and processes we have built with this purpose over the years, and we need now to build out a unified market ready whole product for the most efficient risk teams in the market.

Key Responsibilities

  • Lead the vision, strategy, and roadmap for the Risk Platform, ensuring alignment with business objectives and customer needs.
  • Collaborate with Engineering, Data Science, Customer Success and Risk Intelligence teams to define and prioritize high-impact features that enhance platform capabilities.
  • Engage with key stakeholders to gather insights and feedback, translating complex needs into clear, actionable requirements and product specifications.
  • Oversee the end-to-end lifecycle of product features from ideation through launch, ensuring successful implementation and adoption.
  • Establish and monitor key performance indicators (KPIs) to measure platform effectiveness and drive continuous improvement.
  • Act as a product evangelist, represent Signifyd at internally and externally

Required Skills and Qualifications

  • 7+ years of product management experience, with a strong background in developing platforms or products in high-tech, e-commerce, or similar environments.
  • Proven ability to lead cross-functional teams and projects, demonstrating exceptional collaboration and leadership skills.
  • Deep understanding of risk management, fraud prevention, and e-commerce ecosystems.
  • Strong analytical skills and experience with data-driven decision making.
  • Excellent communication and presentation skills, capable of conveying complex ideas to diverse audiences.

Desirable Attributes

  • Experience with rule-based systems or decision engines.
  • Familiarity with AI and machine learning applications in risk assessment.
  • 3+ years of experience directly in the Risk space

30-60-90 Day Plan

First 30 Days: Understanding and Integration

Objective: Acclimate to the company, understand the product and technology, and establish key internal relationships.

Activities:

  • Onboarding and Training: Complete all necessary onboarding processes, attend product training sessions, and familiarize with Signifyd’s culture and values.
  • Meet the Team: Schedule one-on-one meetings with members of the product, engineering, data science, and risk operations teams to understand roles and gather insights.
  • Platform Deep Dive: Gain a comprehensive understanding of the Risk Platform’s current capabilities, architecture, and customer use cases.
  • Stakeholder Engagement: Begin regular meetings with key stakeholders to understand their expectations, ongoing projects, and how the Risk Platform impacts their work.
  • Initial Product Review: Conduct a preliminary audit of the existing product features and backlog items with the product and engineering teams to assess priorities.

Days 31-60: Strategic Planning and Initial Execution

Objective: Define strategic goals for the Risk Platform and initiate key projects.

Activities:

  • Strategic Roadmap Development: Based on insights gained, start crafting a strategic product roadmap that aligns with business objectives.
  • Customer and Market Analysis: Engage with customer success and sales teams to understand customer feedback, market needs, and competitor landscape.
  • Prioritize Features: Identify quick wins and longer-term strategic initiatives; begin planning for the next development cycle.
  • Process Optimization: Review and propose enhancements to the product development lifecycle to increase efficiency and efficacy.
  • Stakeholder Updates: Provide regular updates to stakeholders about roadmap plans and progress, ensuring alignment and adjusting based on feedback.

Days 61-90: Implementation and Impact

Objective: Implement strategic initiatives and begin tracking their impact.

Activities:

  • Launch Initial Features: Oversee the development and launch of prioritized features identified in the first 60 days.
  • KPIs and Metrics Implementation: Define and begin tracking key performance indicators for newly launched features to measure impact and success.
  • Team Collaboration Strengthening: Continue to foster strong relationships within the team and across departments to facilitate seamless collaboration.
  • Feedback Loops: Establish regular feedback loops with customers and internal teams to refine features and ensure the platform meets user needs.
  • Long-term Planning: Start looking beyond the 90 days to set goals for the next quarter and beyond, ensuring sustainable growth and innovation for the Risk Platform.

#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

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, and abilities, as well as internal equity and alignment with market data.

USA Base Salary Pay Range
$175,000$205,000 USD

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