Our Product Management team is looking for a Senior Product Analyst to independently lead the adoption of analytics and insights, and champion a data-driven agenda across the product organization. The ideal candidate will possess deep expertise in product analytics, exceptional problem-solving skills, and a proven ability to influence product strategy.

What you will do

• Independently drive data-driven recommendations and insights, partnering with leadership to shape strategic decision-making processes and product roadmap prioritization.
• Design, execute, and own complex analysis on large datasets to identify product opportunities and key drivers of business value.
• Act as the primary data consultant and thought leader for product managers and engineering, guiding them in defining key performance indicators (KPIs) and designing instrumentation to ensure a robust data infrastructure.
• Evangelize the data-driven agenda by clearly and compellingly communicating complex analytical findings to executive and cross-functional audiences, leading to measurable product improvements.

What we expect

• At least 5 years of progressive experience in Product Analytics, with a significant track record in a B2B SaaS environment.
• Demonstrated ability to operate independently and define the core analytical questions that will unlock product growth.
• Proven ability to effectively influence senior product and business stakeholders through data storytelling, and drive data-driven decisions.
• Exceptional presentation skills, with the ability to clearly and confidently articulate complex data and insights to various audiences, including executive leadership.
• Experience working collaboratively in cross-functional teams, with strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams.
• Passion for continuous learning in a fast-paced, highly-collaborative environment.
• Hands-on experience in product analytics tools (preferably “Pendo”) and Jira - Must 
• High level of SQL and data processing skills.
• Fluent in English - writing and speaking - Must

What is the Role

We are actively seeking a Customer Architect with an understanding of technology and hands-on experience in key IT domains, notably Observability, Cybersecurity, and Enterprise Search. You should possess a strong technical background, preferably with experience in cloud-based software solutions. 

We value individuals who are passionate about staying at the forefront of technology trends with a growth mindset and excited to learn and implement new technologies. While previous experience with Elastic solutions is not a prerequisite, an eagerness to adopt our suite of solutions and apply them effectively to solve our customers' challenges is critical. This key role involves not only driving the consumption of our Elastic solutions by aligning them with customer business objectives but also onboarding customers, securing adoption, and facilitating expansion. 

As a Customer Architect, you will be the Trusted Technical Advisor, working in tandem with the customer and complementary groups like Field and Services Teams to ensure that Elastic solutions are exceeding customer’s expectations. . Your technical expertise, eye for business, and ability to deliver value will accelerate and improve the customer experience leading to customer continued satisfaction and expansion within the elastic portfolio. 

In your role, a crucial part of your responsibility is defining and communicating the technical success criteria for our customers. This involves crafting detailed Technical Success Plans tailored to the specific customers goals and critical metrics.

The Technical Success Plans act as a roadmap, outlining the optimal consumption and deployment of Elastic solutions in the customer's environment. They detail the necessary steps for implementation, highlight achievements for successful consumption or expansion, and provide and effectiveness aligned to the customer’s business goals. By actioning this plan , you will be seen as the trusted advisor, guiding the customer towards achieving their desired outcomes, thereby ensuring their success and satisfaction.

From providing technical guidance and sharing standard methodologies to aligning technical objectives with the customers' business goals, your work is instrumental in facilitating smooth adoption, sustained usage, and increased consumption of our solutions. This hands-on role requires you to be proactive, with a keen understanding of our customers' technical landscape and a commitment to making their journey with Elastic solutions successful and valuable.

Your chief aim will be to ensure the customer derives significant value, eliminate technical frictions, and propel the uptake and application of Elastic solutions, with the ultimate goal of growing annual recurring revenue (ARR).

What Will You Be Doing

• Collaborate closely with the account team, including the Account Executive and the Solutions Architect (Pre-sales engineer), to provide ongoing technical coverage and support, while the account team focuses on identifying new deals.

• Define the technical success plan for each customer, outlining the optimal use of Elastic solutions to achieve their business objectives.

• Ensure a successful technical customer journey, from onboarding to adoption, while continuously driving the consumption of Elastic solutions.

• Understand and articulate the value proposition of Elastic solutions and align them with the customer's business goals.

• Work closely with customers to identify and eliminate technical frictions, promoting a smoother adoption and implementation of Elastic solutions.

• Liaise between customers and support, as necessary, to ensure an optimized support resolution experience smoothing the adoption curve for the customer.

• As a hands-on technical authority, collaborate with the Service Team to deliver personalized, frictionless solutions that meet the unique needs of each customer.

• Develop a comprehensive understanding of the customer's business needs and translate these into technical requirements for Elastic solutions.

• Find opportunities for expansion, at which point the account team takes over to expand the subscription, aiming to grow annual recurring revenue (ARR).

• Foster ongoing customer relationships, ensuring that customers continue to increase their utilization of Elastic solutions, further driving ARR.

• Continuously review and assess customer consumption of Elastic solutions, proactively suggesting upgrades and enhancements that increase value and drive further consumption.

• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement

What You Bring

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field highly preferred.

• Fluency in English is required for this role. 

• Validated experience in a similar role such as Solutions Architect, Technical Consultant, or Pre-sales Engineer, with hands-on experience with Elastic solutions or equivalent technologies.

• Experienced with one or more Elastic solutions (Observability, Security, Enterprise Search) or the Elastic stack (Elasticsearch, Logstash, Kibana) and how to align them with business objectives is a plus. 

• Excellent communication and presentation skills.

• Strong social skills, with the ability to establish relationships with customers and team members.

• Demonstrated problem-solving skills, with a track record of delivering innovative solutions.

• Ability to lead multiple projects simultaneously and meet deadlines.

#LI-PF1

To thrive in this role, you'll need:

• Attribution Mastery: 5+ years in PM with deep expertise in the tension between MTA, MMM, and Incrementality. You know why "Last-Click" is a lie and how to sell the alternative.
• Strategic Domain Ownership: Ability to own a domain end-to-end - define the vision, align stakeholders across R&D, Sales, and Marketing, and drive commercial outcomes.
• Commercial Storytelling: A proven track record of translating technical measurement outcomes into "reasons to buy" for C-level marketing executives.ֿ
• Enterprise Discovery & Client-Facing: Experience presenting directly to enterprise advertisers and conducting measurement-focused discovery. You'll work closely with the Client Measurement Director and enterprise business teams (Sales, Account Management) to drive adoption. Willingness to travel globally.
• Data Fluency & Technical Partnership: A systems-thinking mindset with the ability to partner deeply with Data Science and Engineering. Comfortable navigating technical trade-offs (e.g., precision vs. latency) and leveraging AI tools to accelerate discovery and analysis.

Bonus points if you have:

• Background in Measurement Consulting or a lead role at a major Attribution/MMM vendor
• Experience building self-service SaaS tools that automate complex data workflows
• A track record of influencing $50M+ in annual ad spend through measurement-led insights

How you’ll make an impact:

• Define the "Truth" Framework: Own the product vision for how we prove causality (Lift, MMM, and Incrementality) across the advertiser journey - unlocking advertiser trust and convincing them to scale budgets
• Strategic Commercial Influence: Act as the "Measurement Consultant" for our biggest clients. Translate complex data science into compelling narratives that help Sales teams unlock enterprise budgets
• Scale Through Ecosystem Integration: Define our position in the measurement stack. Decide when we build proprietary tools (in-house geo-holdout testing, advanced attribution), when we partner (GA4, CM360, Measured, Rockerbox), and when we disrupt
• Source of Truth Strategy: Build integrations with leading measurement platforms so advertisers can validate Realize performance in their preferred system - meeting them where they are
• Co-prioritize with Customer Measurement: Balance enterprise demand with product scalability, working alongside the Measurement Director to align on roadmap priorities

Why Taboola?

If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:

• Adam Singolda, Taboola Founder and CEO says: "You can copy anything from another business but you can't copy a company's culture."
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-DN1 #LI-Hybrid

To thrive in this role, you'll need:

• Attribution Mastery: 5+ years in PM with deep expertise in the tension between MTA, MMM, and Incrementality. You know why "Last-Click" is a lie and how to sell the alternative.
• Strategic Domain Ownership: Ability to own a domain end-to-end - define the vision, align stakeholders across R&D, Sales, and Marketing, and drive commercial outcomes.
• Commercial Storytelling: A proven track record of translating technical measurement outcomes into "reasons to buy" for C-level marketing executives.ֿ
• Enterprise Discovery & Client-Facing: Experience presenting directly to enterprise advertisers and conducting measurement-focused discovery. You'll work closely with the Client Measurement Director and enterprise business teams (Sales, Account Management) to drive adoption. Willingness to travel globally.
• Data Fluency & Technical Partnership: A systems-thinking mindset with the ability to partner deeply with Data Science and Engineering. Comfortable navigating technical trade-offs (e.g., precision vs. latency) and leveraging AI tools to accelerate discovery and analysis.

Bonus points if you have:

• Background in Measurement Consulting or a lead role at a major Attribution/MMM vendor
• Experience building self-service SaaS tools that automate complex data workflows
• A track record of influencing $50M+ in annual ad spend through measurement-led insights

How you’ll make an impact:

• Define the "Truth" Framework: Own the product vision for how we prove causality (Lift, MMM, and Incrementality) across the advertiser journey - unlocking advertiser trust and convincing them to scale budgets
• Strategic Commercial Influence: Act as the "Measurement Consultant" for our biggest clients. Translate complex data science into compelling narratives that help Sales teams unlock enterprise budgets
• Scale Through Ecosystem Integration: Define our position in the measurement stack. Decide when we build proprietary tools (in-house geo-holdout testing, advanced attribution), when we partner (GA4, CM360, Measured, Rockerbox), and when we disrupt
• Source of Truth Strategy: Build integrations with leading measurement platforms so advertisers can validate Realize performance in their preferred system - meeting them where they are
• Co-prioritize with Customer Measurement: Balance enterprise demand with product scalability, working alongside the Measurement Director to align on roadmap priorities

Why Taboola?

If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:

• Adam Singolda, Taboola Founder and CEO says: "You can copy anything from another business but you can't copy a company's culture."
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-DN1 #LI-Hybrid

An overview of this role

As the Principal Engineer, Software Supply Chain Security, you’ll own the technical strategy that secures how software is built and delivered on GitLab’s DevSecOps platform. You’ll provide architectural leadership across multiple engineering teams. You’ll also partner closely with infrastructure and CI/CD teams to harden our pipelines, infrastructure, and access layers. Your work will shape GitLab’s enterprise security posture in the rapidly growing software supply chain security market. You’ll focus on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab’s global zero trust architecture. You’ll mentor Staff Engineers and individual contributors, and you’ll guide critical technical decisions. You’ll also act as a spokesperson with customers and external stakeholders for GitLab’s secure, mission-critical SaaS that runs millions of pipelines.

Some examples of our projects:

• SLSA Level 3 compliance and provenance attestation across GitLab’s CI/CD platform
• Integrated secrets management and runner security for container-isolated, secure pipelines

What you’ll do

• Lead the end-to-end software supply chain security architecture for GitLab’s CI/CD platform, including SLSA Level 3 implementation and CI infrastructure hardening.
• Drive cross-team technical strategy and decisions across our Software Supply Chain Security (SSCS) stage teams, aligning engineering work to SSCS strategic plans.
• Collaborate with infrastructure and CI/CD teams to design and land long-term initiatives for secure, scalable runner architecture, container isolation, and pipeline security at scale.
• Propose and validate technical implementations that support architectural changes to improve CI/CD scaling and performance on critical paths.
• Teach, mentor, and coach Staff Engineers and individual contributors, raising the bar on supply chain threat modeling, secrets management, artifact signing, and SBOM lifecycle practices.
• Partner with Engineering Managers and senior leadership to define roadmaps, break down complex initiatives, and enable Staff Engineers to lead sub-department-wide efforts.
• Engage with customers and external stakeholders as a technical consultant and spokesperson for GitLab’s software supply chain security capabilities and roadmap.
• Collaborate with product, security, and compliance stakeholders to ensure features meet enterprise security, governance, and regulatory expectations in the software supply chain security market.

What you’ll bring

• Deep expertise in software supply chain security, including threat modeling for supply chain attack vectors, SLSA implementation and attestation systems, and SBOM generation and lifecycle management.
• Strong knowledge of artifact signing and verification using the Sigstore ecosystem, including Cosign, Fulcio, Rekor, and in-toto attestations.
• Experience designing and hardening CI/CD security, such as runner isolation, pipeline security controls, and secrets management in large-scale environments.
• Background in distributed systems and infrastructure, including building resilient CI/CD platforms that process high pipeline volumes and optimizing performance for critical paths.
• Practical experience with container security and Kubernetes security, including admission controllers, policy controllers, workload isolation, and registry hardening.
• Proficiency in Go or Rust in a production environment, combined with expert-level understanding of CI/CD workflows and DevSecOps best practices.
• Experience operating as a Principal or Staff Engineer across multiple development teams, providing architectural leadership and partnering with Engineering Managers and senior leaders.
• Demonstrated capacity to clearly communicate complex problems and solutions.

About the team

Our Software Supply Chain Security stage engineering teams are responsible for authentication and access within GitLab. We also build features that help customers manage vulnerabilities, dependencies, security policies, and compliance frameworks across their organizations. Our group includes four core teams (Authentication, Authorization, Pipeline Security, and Compliance) and more than 40 engineers. We work asynchronously across regions and partner closely with product, security, and infrastructure to deliver secure-by-default features for customers in highly regulated industries.

About the Role

Fireblocks is seeking a highly technical, partner-facing Integration Engineer to join our Network team. In this role, you will be the primary technical driver for onboarding partners to the Fireblocks Network and maintaining quality and product excellence with existing partners. 

You aren't just following a manual; you are a technical consultant, a troubleshooter, and a bridge builder. You will work closely with R&D, Product, and Business, ensuring that every provider integration is seamless, secure, and scalable.

What You’ll Do

• Own the Integration Lifecycle: Lead partners from initial discovery through to production go-live, serving as their dedicated technical Point of Contact.
• Act as Tier 1 R&D: Deep-dive into the code to answer complex architectural questions. You’ll debug, write code, analyze API logs, and solve technical hurdles.
• Bridge the Gap: Translate business needs into technical requirements. You’ll help partners understand how to map their existing infrastructure to our protocol.
• Collaborate Cross-Functionally: Work hand-in-hand with Product to relay feedback from the field and with Business to ensure the provider’s commercial goals are met.
• Scale the Process: Develop technical documentation, tools, and integration best practices to streamline the onboarding process and making it more intuitive.

Who You Are

• Passionate About Tech: You can discuss technical details with R&D engineers as well as explain in simple terms to customers and partners. 
• Problem Solver: You have a "builder" mindset. You are customer-focused and proactive in finding a solution or mitigation to every issue that comes your way.
• Client-Centric: You understand that your success is directly tied to the success of our partners.

Qualifications

• B.Sc. in Computer Science or equivalent
• Experience: 2+ in Software engineering (ideally in FinTech, Cyber, or Crypto).
• Tech Stack: Strong proficiency with REST APIs, JSON, Webhooks, and at least one programming language such as; Java, C#, Typescript.
• Knowledge: Familiarity with digital assets, blockchain technology, or institutional finance workflows is highly preferred.
• Communication: Exceptional English communication skills, both written and verbal.

About the role:

Forter is looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, we’ll provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.

ML is central to Forter’s work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial—our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.

Why should you join us?

You’ll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML—building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.

What you will be doing:

• Designing and building the data-heavy components of our ML infrastructure, allowing Forter’s models to make billions of real-time decisions every year.
• Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
• Optimizing the "Feature Store" concept—ensuring that the data used for training matches the data used in production for real-time serving.
• Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
• Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
• Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

Who are you?

• 5+ years of experience with large-scale data processing, with deep expertise in Apache Spark.
• 5+ years developing complex software with at least one general-purpose language (preferably Python or Scala).
• Backend and server-side development experience of complex, highly scalable systems.
• Strong understanding of Data Engineering patterns (Partitioning, Sharding, Schema evolution) and how they apply to model performance.
• Interest in Machine Learning concepts—you don't need to be a researcher, but you should understand how data flows into a model.
• Experience working with public clouds (AWS / GCP / Azure).
• Fluent in written and spoken English.

It’d be really cool if you also:

• Are familiar with Databricks or Airflow for orchestrating complex ML workflows.
• Are comfortable in a containerized environment (Kubernetes/Docker).
• Have experience with low-latency, real-time data serving or streaming (Kafka).

About the role:

Forter is looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives in Forter, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.

Today, AI is central to how Forter operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.

Why should you join us?

This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, we’ll build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.

This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving Forter from the AI experimentation phase to building and leveraging AI-powered products.

What you will be doing:

• Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
• Develop and maintain our internal MCP server that easily and securely exposes Forter’s vast data stores to AI agents.
• Create and implement robust evaluation frameworks and AI guardrails to safeguard Forter’s value and ensure model reliability.
• Establish deep expertise and sustainable AI engineering practices.
• Promote AI readiness and track adoption across the company to build lasting impact.
• Build and optimize RAG (Retrieval-Augmented Generation) systems.
• Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
• Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
• Partner with teams across Forter to accelerate AI adoption and productization efforts.

Who are you?

• 5+ years of strong backend and server-side development experience, building complex, highly scalable systems.
• Proven experience with at least one general-purpose language (preferably Python, but not a must).
• Strong product management skills, with the ability to gather and refine requirements from non-technical internal users.
• A strong sense of ownership, with some DevOps experience and a willingness to develop, deploy, and run projects end-to-end.
• Strong familiarity with AI coding tools like Copilot, Cursor, or similar.
• Experience working with public clouds (AWS / GCP / Azure).
• Fluent in written and spoken English.

It’d be really cool if you also:

• Are familiar with agentic coding tools like Claude code or Copilot CLI.
• Have familiarity with Strands Agents (or similar agentic technologies), RAGs, and Bedrock.
• Have experience with MCP (Model Context Protocol).
• Are comfortable in a containerized environment.

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

About the role:

Forter is looking for a Senior Software AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives in Forter, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.

Today, AI is central to how Forter operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.

Why should you join us?

This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, we’ll build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.

This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving Forter from the AI experimentation phase to building and leveraging AI-powered products.

What you will be doing:

• Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
• Develop and maintain our internal MCP server that easily and securely exposes Forter’s vast data stores to AI agents.
• Create and implement robust evaluation frameworks and AI guardrails to safeguard Forter’s value and ensure model reliability.
• Establish deep expertise and sustainable AI engineering practices.
• Promote AI readiness and track adoption across the company to build lasting impact.
• Build and optimize RAG (Retrieval-Augmented Generation) systems.
• Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
• Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
• Partner with teams across Forter to accelerate AI adoption and productization efforts.

Who are you?

• 5+ years of strong backend and server-side development experience, building complex, highly scalable systems.
• Proven experience with at least one general-purpose language (preferably Python, but not a must).
• Strong product management skills, with the ability to gather and refine requirements from non-technical internal users.
• A strong sense of ownership, with some DevOps experience and a willingness to develop, deploy, and run projects end-to-end.
• Strong familiarity with AI coding tools like Copilot, Cursor, or similar.
• Experience working with public clouds (AWS / GCP / Azure).
• Fluent in written and spoken English.

It’d be really cool if you also:

• Are familiar with agentic coding tools like Claude code or Copilot CLI.
• Have familiarity with Strands Agents (or similar agentic technologies), RAGs, and Bedrock.
• Have experience with MCP (Model Context Protocol).
• Are comfortable in a containerized environment.

Benefits include:

• Competitive salary and bonus plan
• Restricted Stock Units (RSUs)
• Private health insurance, including vision and dental coverage
• Generous PTO policy
• Half day Fridays, every Friday

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

About the role:

Forter is looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives in Forter, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.

Today, AI is central to how Forter operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.

Why should you join us?

This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, we’ll build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.

This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving Forter from the AI experimentation phase to building and leveraging AI-powered products.

What you will be doing:

• Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
• Develop and maintain our internal MCP server that easily and securely exposes Forter’s vast data stores to AI agents.
• Create and implement robust evaluation frameworks and AI guardrails to safeguard Forter’s value and ensure model reliability.
• Establish deep expertise and sustainable AI engineering practices.
• Promote AI readiness and track adoption across the company to build lasting impact.
• Build and optimize RAG (Retrieval-Augmented Generation) systems.
• Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
• Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
• Partner with teams across Forter to accelerate AI adoption and productization efforts.

Who are you?

• 5+ years of strong backend and server-side development experience, building complex, highly scalable systems.
• Proven experience with at least one general-purpose language (preferably Python, but not a must).
• Strong product management skills, with the ability to gather and refine requirements from non-technical internal users.
• A strong sense of ownership, with some DevOps experience and a willingness to develop, deploy, and run projects end-to-end.
• Strong familiarity with AI coding tools like Copilot, Cursor, or similar.
• Experience working with public clouds (AWS / GCP / Azure).
• Fluent in written and spoken English.

It’d be really cool if you also:

• Are familiar with agentic coding tools like Claude code or Copilot CLI.
• Have familiarity with Strands Agents (or similar agentic technologies), RAGs, and Bedrock.
• Have experience with MCP (Model Context Protocol).
• Are comfortable in a containerized environment.

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

About the role: 

Forter is looking for a Senior Engineer with a data engineering background to join our growing ML Platform team. This is a great opportunity, whether you have experience with ML and are looking for a ML focused product or are an experienced Data Engineer looking to enter the world of ML. Together we’ll provide tools to develop more effective models, get them into production faster, and ensure that they continue to perform well over time.

ML is central to Forter’s work. It enables us to process billions of $ worth e-commerce transactions, make decisions in real time, identify fraud rings, and quickly detect new attack methods. Precision is crucial - bad decisions by our models cost us directly and put money into the pockets of fraudsters.

Our adoption by merchants around the world provides us with billions of fresh data points each day. Our team of data scientists, analysts, and cyber intelligence specialists continually identify new signals, engineer new features, and research new models. But as the volume of data and the number and complexity of models grows, so do the engineering challenges. 

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.

Why should you join us?

You’ll be part of a highly proficient engineering team that is a focal point for all ML engineering activity, striving to constantly bring innovation and leverage ML capabilities across all company teams and products.

This role presents a unique opportunity to enter the ML domain. For those already experienced in ML infrastructure, it offers the chance to grow within a team that specializes in high-scale, Big Data and ML systems.

What you will be doing:

• Designing, building, and maintaining the ML infrastructure that allows Forter’s models to make billions of real-time decisions every year. 
• Building a platform that enables managing a full ML model lifecycle - from researching to training, deploying, and serving predictions in real-time. 
• Building distributed data processing pipelines to support model development.
• Acting as a consultant to researchers, data scientists, and expert analysts and enabling them to research new models faster and with greater precision by providing cutting-edge tooling.
• Expanding our ML infrastructure to make it scalable, quick, and efficient to bring diverse models to production and to monitor their performance and drift over time.
• Expanding the pool of internal customers able to use ML at Forter. Work with them to understand their needs and help them make the most of the infrastructure that we’ll provide.
• Acting as an advocate for MLOps, continually improving our processes, and raising our standards.

Who are you?

• 4+ years experience with large-scale data processing, ideally with Apache Spark.
• 5+ years developing complex software projects with at least one of general-purpose languages (preferably Python, but not a must)
• Backend and server-side development experience of complex, highly scalable systems
• Experienced with machine learning concepts and frameworks.
• Motivation to understand the needs of internal users, provide them with great tooling, and teach them how to use it. 
• Experience working with public clouds (AWS / GCP / Azure)
• Fluent in written and spoken English

It’d be really cool if you also:

• Are familiar with Databricks or Airflow.
• Are comfortable in a containerized environment.
• Have experience with maintaining highly available, low latency, real-time services 

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• #3 on Fast Company’s list of “Most Innovative Finance Companies” (2022)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)
• SAP Pinnacle Awards “New Partner Application Award” (2023)
• Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. 

We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.

About the Role:

The Fraud Lead is the principal technical authority for Transmit Security’s fraud detection and response engine. You own the professional logic that powers our product, ensuring that the "Brain" of our platform is technically cohesive, scientifically rigorous, and market-leading.

You act as a System Architect for the fraud domain, connecting the dots between Research, Data Science, and Analytics. Crucially, you serve as the primary technical consultant for our customers, helping them understand, integrate, and optimize the fraud logic that protects their environments. You work alongside a separate Product group (who defines the roadmap) and a Platform Engineering group (who builds the infrastructure).

What you’ll do:

Technical Domain Architecture

• Logic Blueprinting: Design the end-to-end technical logic for detection features—from telemetry ingestion to real-time response actions.
• Cross-Team "Glue": Ensure that Fraud Research insights are effectively operationalized by the Data Science team and surfaced correctly by the Analytics team.
• Architecture Governance: Set the technical standards for how detection logic is built, ensuring it is scalable and compatible with the Platform Engineering team’s infrastructure.

Customer Fronting & Technical Advisory

• Technical Subject Matter Expert: Act as the lead technical consultant for high-value customers. You will lead "deep-dive" sessions with client-side engineers and fraud experts to explain our detection methodologies and data requirements.
• Integration Strategy: Advise customers on how to best leverage our technical logic within their specific business contexts.
• Feedback Loop: Translate complex customer technical needs and "edge case" fraud patterns back into technical requirements for the internal fraud group.

Expert Implementation

• Hands-on Prototyping: Remain an expert practitioner in Python and SQL. You will prototype new detection methodologies and perform technical validation of production models.
• Quality & Observability: Design the technical frameworks that ensure our detection logic remains performant and observable in live customer environments.

What you’ll need:

• Senior Domain Expertise: 8+ years in fraud detection, risk engineering, or cybersecurity, specifically focused on building and shipping B2B products.
• Customer-Facing Experience: Proven ability to present complex technical architectures to external stakeholders (CTOs, CISOs, or Lead Architects).
• Coding Mastery: Expert-level proficiency in Python and SQL is mandatory. You must be able to write production-grade prototypes and audit complex data pipelines.
• Architectural Mindset: Experience acting as a Technical Lead or Domain Architect; ability to design systems that balance detection precision with platform latency.
• Engineering Literacy: Strong understanding of the software development lifecycle (SDLC), APIs, and cloud-native data environments to effectively partner with Platform/Infrastructure teams.
• Data Science Fluency: Deep understanding of feature engineering, model evaluation, and the challenges of deploying ML at scale.

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