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we are looking for a Product Analyst.
A Product Analyst plays a key role in helping Product teams understand whats happening, why its happening, and what to do next. By proactively identifying trends, asking the right questions, and connecting insights across product and user data, youll help shape product decisions and identify opportunities for improvement.
What You Will Do:
Proactively identify trends, opportunities, and product questions, turning data into actionable insights and recommendations.
Deep dive into user behavior, product performance, adoption, funnels, and usage to understand not only what is happening, but why.
Partner with Product to define meaningful KPIs, monitor performance, and use A/B testing and other analytical methods to identify opportunities for improvement.
Work closely with Product, R&D, and other stakeholders to translate insights into product priorities and decisions.
Build dashboards, reports, and analytical frameworks that help teams understand product performance and make better decisions.
Ensure accuracy and attention to detail, building trust in the data and insights used across the organization.

We are looking for a Product Analyst Team Lead to lead and develop our Product Analytics team. In this role, youll set the teams direction and priorities, develop and grow the team, and work closely with Product and senior leadership to ensure analytics drives meaningful product and business decisions.
What You Will Do:
Manage, mentor, and grow a team of Product Analysts, building a strong and high-performing analytics function.
Define the teams direction, prioritize high-impact initiatives, and proactively identify future product and business needs.
Lead the team in defining KPIs and turning complex product and business questions into actionable insights and recommendations.
Partner closely with Product, R&D, Data, Field, Sales, and senior leadership to influence product and business decisions.
Remain close to the data and lead key analyses when needed, while focusing primarily on leading the team and its impact.

We are looking for an AI-savvy Product Manager to join as we continue expanding and exploring the hottest intersection in the security market: agentic AI and SecOps. The ideal candidate will have both experience in at least one SOC-adjacent domain (threat intelligence, SecOps, hunting, incident response) and strong understanding of agentic AI.
Youll own parts of agentic platform: where agents are managed, how they interact with users, and how they can help SOCs to reduce system-critical metrics and overall threat exposure.
What Youll Be Doing:
Lead critical parts of agentic platform to help drive forward adoption and innovation across the full lifecycle - from UX to prompt engineering
Become an expert in AI SOC offering and in Platform as a whole
Represent the customers voice inside to ensure were staying on the critical path
Work closely with top-notch engineering teams to deliver product capabilities and stay on top of state-of-the-art AI trends
Analyze product data - from classic product analytics to AI evaluations of usage patterns - to proactively bubble up user needs or issues

A Product Analyst at Torq plays a key role in helping Product teams understand whats happening, why its happening, and what to do next. By proactively identifying trends, asking the right questions, and connecting insights across product and user data, youll help shape product decisions and identify opportunities for improvement.

What You Will Do:
Proactively identify trends, opportunities, and product questions, turning data into actionable insights and recommendations.
Deep dive into user behavior, product performance, adoption, funnels, and usage to understand not only what is happening, but why.
Partner with Product to define meaningful KPIs, monitor performance, and use A/B testing and other analytical methods to identify opportunities for improvement.
Work closely with Product, R&D, and other stakeholders to translate insights into product priorities and decisions.
Build dashboards, reports, and analytical frameworks that help teams understand product performance and make better decisions.
Ensure accuracy and attention to detail, building trust in the data and insights used across the organization.

We are looking for a Product Analyst Team Lead to lead and develop our Product Analytics team. In this role, youll set the teams direction and priorities, develop and grow the team, and work closely with Product and senior leadership to ensure analytics drives meaningful product and business decisions.

What You Will Do:
Manage, mentor, and grow a team of Product Analysts, building a strong and high-performing analytics function.
Define the teams direction, prioritize high-impact initiatives, and proactively identify future product and business needs.
Lead the team in defining KPIs and turning complex product and business questions into actionable insights and recommendations.
Partner closely with Product, R&D, Data, Field, Sales, and senior leadership to influence product and business decisions.
Remain close to the data and lead key analyses when needed, while focusing primarily on leading the team and its impact.

We are looking for an AI-savvy Product Manager to join Torq as we continue expanding and exploring the hottest intersection in the security market: agentic AI and SecOps. The ideal candidate will have both experience in at least one SOC-adjacent domain (threat intelligence, SecOps, hunting, incident response) and strong understanding of agentic AI.

Youll own parts of Torqs agentic platform: where agents are managed, how they interact with users, and how they can help SOCs to reduce system-critical metrics and overall threat exposure.

What Youll Be Doing

Lead critical parts of Torqs agentic platform to help drive forward adoption and innovation across the full lifecycle - from UX to prompt engineering
Become an expert in Torqs AI SOC offering and in Torqs Platform as a whole
Represent the customers voice inside Torq to ensure were staying on the critical path
Work closely with Torqs top-notch engineering teams to deliver product capabilities and stay on top of state-of-the-art AI trends
Analyze product data - from classic product analytics to AI evaluations of usage patterns - to proactively bubble up user needs or issues

We're looking for a Production Operations Engineer to join our fast-growing company at a breakthrough stage, as we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality, innovative solutions with the latest technologies - and we never forget to enjoy the ride along the way!
This is a role for someone who owns production stability end to end and knows that the best fixes often happen through other people. You won't be the one writing every manifest or resolving every incident yourself - you'll be the one who sees what production needs, sets the direction, and makes sure R&D teams follow through.
What You'll Be Doing:
Owning production stability: Act as the go-to person for the health of our production environments, proactively identifying risks before they become incidents.
Owning the incident process: Make sure incidents are properly tracked, follow-ups are driven to completion, and R&D teams write and own their postmortems - turning lessons into lasting improvements rather than letting them slip.
Driving change across R&D: Partner with engineering teams to define the reliability and operational improvements production needs, and make sure they get prioritized and implemented.
Raising the operational bar: Champion production-readiness standards, define SLOs and error budgets, and build a culture where teams own the reliability of what they ship.
Connecting the dots: Communicate clearly with stakeholders across R&D and leadership, translating between technical detail and business impact.

We are looking for an experienced Senior Product Manager to own Runtime domain - the core engine that powers millions of workflow executions for security teams worldwide. We seek an experienced, curious, self-motivated product manager to join our team and lead our events pipeline, orchestration, and execution infrastructure.

What Youll Be Doing

Become an expert in all runtime aspects - events pipeline, orchestration, execution, Runners, and the infrastructure that powers them
Own the end-to-end Runner experience - deployment models, resource management, connectivity, and troubleshooting
Perform customer research and technical deep-dives to understand scale requirements, reliability needs, and pain points
Analyze customer escalations to identify patterns and translate them into actionable engineering requirements
Make critical decisions with respect to architectural trade-offs, reliability, performance, and quality to meet business objectives
Work closely with engineering to define, develop, and launch new runtime capabilities across our distributed execution layer

We're looking for a Production Operations Engineer to join our fast-growing company at a breakthrough stage, as we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality, innovative solutions with the latest technologies - and we never forget to enjoy the ride along the way!

This is a role for someone who owns production stability end to end and knows that the best fixes often happen through other people. You won't be the one writing every manifest or resolving every incident yourself - you'll be the one who sees what production needs, sets the direction, and makes sure R&D teams follow through.


What You'll Be Doing:
Owning production stability: Act as the go-to person for the health of our production environments, proactively identifying risks before they become incidents.
Owning the incident process: Make sure incidents are properly tracked, follow-ups are driven to completion, and R&D teams write and own their postmortems - turning lessons into lasting improvements rather than letting them slip.
Driving change across R&D: Partner with engineering teams to define the reliability and operational improvements production needs, and make sure they get prioritized and implemented.
Raising the operational bar: Champion production-readiness standards, define SLOs and error budgets, and build a culture where teams own the reliability of what they ship.
Connecting the dots: Communicate clearly with stakeholders across R&D and leadership, translating between technical detail and business impact.

We are looking for a strong technical leader to lead one of our product-focused R&D teams at Torq.

This team owns meaningful product capabilities used across the Torq platform and works closely with Product, Design, and other engineering teams. The role combines people management, technical leadership, and strong product thinking - from understanding customer needs and shaping solutions to delivering high-quality features in production.

You will lead a team of experienced engineers, develop their skills, set clear priorities, and create an environment of ownership, collaboration, and continuous improvement. At the same time, youll stay close to the technology, lead design decisions, and step into the code when needed.

What Will You Do?
Lead, mentor, and develop a team of engineers.
Own the teams execution, priorities, and long-term direction.
Work closely with Product and Design to turn customer needs into simple, scalable solutions.
Lead features and projects from early definition and design through production.
Drive technical design and architecture decisions while balancing product needs, quality, and delivery.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Build strong collaboration with other teams and lead cross-team initiatives.
Create clear processes and ownership as the team and its scope continue to grow.
Take part in hiring and help shape the teams professional standards and culture.
Use modern AI tools such as Cursor and Claude Code as part of the development workflow while maintaining high-quality engineering standards.

We are looking for a strong technical leader to lead one of our product-focused R&D teams.
This team owns meaningful product capabilities used across the platform and works closely with Product, Design, and other engineering teams. The role combines people management, technical leadership, and strong product thinking - from understanding customer needs and shaping solutions to delivering high-quality features in production.
You will lead a team of experienced engineers, develop their skills, set clear priorities, and create an environment of ownership, collaboration, and continuous improvement. At the same time, youll stay close to the technology, lead design decisions, and step into the code when needed.
What Will You Do?
Lead, mentor, and develop a team of engineers.
Own the teams execution, priorities, and long-term direction.
Work closely with Product and Design to turn customer needs into simple, scalable solutions.
Lead features and projects from early definition and design through production.
Drive technical design and architecture decisions while balancing product needs, quality, and delivery.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Build strong collaboration with other teams and lead cross-team initiatives.
Create clear processes and ownership as the team and its scope continue to grow.
Take part in hiring and help shape the teams professional standards and culture.
Use modern AI tools such as Cursor and Claude Code as part of the development workflow while maintaining high-quality engineering standards.

We are looking for a Hands-On Agentic AI Engineer (Information Systems Team) to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.

The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.



Responsibilities:

Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations

We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic.
This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path.
The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams.


Responsibilities
Build and lead Catos AI Platform team: hiring, mentoring, architecture, technical direction, and execution.
Own the AI security runtime platform for high-throughput, low-latency inline security decisions across Catos global cloud and PoPs.
Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine.
Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health.
Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.
Define the long-term platform strategy for AI runtime and model serving at Cato.

We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.

You wont be working on isolated experiments. Youll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.

This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.




What youll do
End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.

We're hiring an exceptional Applied AI Scientist to join our team!
In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.
In This Role, You Will Be Responsible For:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in Tipalti's proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.