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We are looking for a Senior Product Manager to join our fast-growing AI & Data Science group. Reporting to our AI Product Director, you will be supporting the team building products for the next era of AI & Agentic Ecommerce - Where AI agents discover, negotiate, and purchase on behalf of users. You will lead the development of agent-ready experiences, ensuring interoperability with industry protocols, while driving measurable conversion, fraud, and cost outcomes for merchants. The ideal candidate will have a strong background in product management, a deep understanding of AI technologies, a passion for data driven insights, and the ability to translate complex technical concepts into market-leading products.
Responsibilities:
Define and execute the product roadmap for AI & Data Science solutions, aligning with company goals and market needs.
Drive the development and strategic vision for agentic commerce, agent-aware checkout and payment flows. Ensure protocol interoperability and compliance with leading industry standards such as AP2, Visa Trusted Agent Protocol, and Mastercard Agent Pay. Incorporate robust risk and trust signal mechanisms like agent verification, velocity controls, anomaly detection, and human-in-the-loop reviews, all while upholding Responsible AI guardrails.
Collaborate with cross-functional teams, including data science, engineering and commercial teams to bring products from conception to launch.
Conduct market research and competitive analysis to identify trends, opportunities, and challenges in the AI & Agentic Commerce space.
Work closely with data scientists and engineers to define product requirements, prioritize features, and ensure technical feasibility.
Develop and implement go-to-market strategies, ensuring products meet user needs and achieve commercial success.
Monitor product performance, gather feedback from users and stakeholders, and iterate quickly to enhance product offerings.
Stay abreast of advancements in AI & Agentic technologies to continually innovate and improve our product portfolio.

we are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization.
The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions.
This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities:
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.

We are always looking for exceptional talent to join us on the journey!
We are always looking for exceptional talent to join us on the journey!


Your Mission

As an MLOps Engineer at Nuvei, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across .
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

As VP Revenue Operations, your goal is to architect and lead the operating system that powers our revenue engine. You will own the end-to-end RevOps function across Sales, Marketing, Customer Success, Channels, and Deal Desk - building the planning cycles, KPI models, systems, and analytics that turn strategy into predictable, scalable execution.

You will be a critical member of the extended management group and a strategic partner to the sales, CS, CEO, and CFO. We are an aggressive and ambitious emerging brand in the Enterprise ITSM space. We have already proven to be a giant killer who wins accounts from much larger competitors. We need to scale our GTM motion with rigor, increase pipeline conversion and forecast accuracy, and turn data into a true competitive advantage.

This position reports to our CFO, an industry veteran with deep domain and product knowledge. He will partner with you closely as you set the operating cadence, mature the tech stack, and lead the RevOps team - including a Revenue Operations Manager and a growing bench of analysts and Salesforce / business application specialists.

Responsibilities
Own the end-to-end Revenue Operations function across Sales, Marketing, Customer Success, Channels, and Deal Desk.
Architect and run the annual and quarterly GTM planning cycles - segmentation, territories, quotas, headcount, and capacity modeling
Design, implement, and continuously improve forecasting models, pipeline analytics, and revenue KPIs across the funnel.
Lead the Salesforce and broader business applications strategy, integrating Marketing automation, CS platforms, finance and HR systems into a unified data backbone.
Optimize Quote-to-Cash and Deal Desk workflows, including pricing approvals, contract management, and revenue recognition in partnership with Finance and Legal.
Establish and maintain executive dashboards and a single source of truth for pipeline health, sales efficiency, customer acquisition, retention, and churn.
Partner with Sales Enablement to translate the Sales Methodology into systems, stages, exit criteria, and coaching dashboards.
Design and operate the leadership cadence: forecast calls, pipeline reviews, QBRs, and board prep.
Own commissions design and administration in partnership with Finance, ensuring incentives drive the right behaviors.
Hire, mentor, and develop a high-performing RevOps team - RevOps Manager, analysts, and Salesforce/business application specialists.
Provide investor-grade visibility on the revenue engine to the CEO, CFO, and Board.

We need an experienced Team Lead who has managed developers before and knows how to get things done. You'll own the delivery and day-to-day leadership of a 7-person team working across two demanding domains - AI and Connect.

Beyond managing the team, you'll be expected to lead the vision. That means staying ahead of the AI curve, identifying where the product should go next, and actively pushing for innovation - not waiting to be told. The team works with LLMs, RAG pipelines, integration infrastructure, and APIs. You need to own the technical design decisions, set the architectural direction, and ensure the team is building things the right way - not just on time.

You'll report directly to the Director of the Growth Group and work closely with Product, Architecture, and peer engineering leads.

What You'll Do
Lead and Develop Your Team - Manage a team of 7 developers across the AI and Connect domains. Run 1:1s, set clear goals, support growth, and create a culture of ownership and accountability.
Drive Delivery - Own the team's roadmap execution. Ensure features are designed well, delivered on time, and meet a high-quality bar.
Own the Architecture - Lead system and feature design end-to-end. Define the architectural approach, review technical designs, and make sure the team builds solutions that are scalable, maintainable, and aligned with the platform's direction.
Champion AI Innovation - Stay sharp on the latest in LLMs, RAG, and AI tooling. Help the team identify opportunities to push the product forward and maintain our competitive edge.
Collaborate Cross-Functionally - Work closely with Product Managers, other TLs, and stakeholders to align priorities and turn vision into execution.
Raise the Bar - Establish and enforce engineering best practices: code quality, automated testing, CI/CD, and microservices design principles.
Recruit When Needed - Participate in hiring as team needs evolve, and help onboard new team members effectively.

We are looking for a Senior Software Engineer to join our Video/Multimedia Architecture & Algorithms (A&A) team - the people who build tomorrows NVENC and NVDEC, the dedicated video encode and decode engines that power streaming, cloud gaming, video conferencing and broadcast on every modern GPU. You will lead the infrastructure and operations for this groups work. This includes setting up compute resources on-premises and in the cloud. You will develop distributed pipelines for large-scale regressions and experiments across hardware simulations and machine learning workloads. You will maintain the CI/CD and development environments. You will also transform one-off research workflows into reliable, repeatable, automated systems.
This is a hybrid role - 4 days per week from the office.
What You'll Be Doing
Work closely with our Architects and Algorithms Engineers to understand the needs and transform one-off research workflows into dependable, consistent, automated systems
Stand up and operate the compute the group runs on - on-prem GPU clusters, cloud bursts, queues, schedulers (Slurm / Kubernetes), container images, environments
Develop and build decentralized workflows for extensive regression testing and experiments across HW-simulations and ML workloads - and the dashboards that make sense of the results
Lead the teams CI/CD plus the dev environments, container images and tooling everyone in the group lives in every day.

We are looking for an outstanding Senior Software Engineer to join our Video/Multimedia Architecture & Algorithms (A&A) team - the people who build tomorrows NVENC and NVDEC, the dedicated video encode and decode engines that power streaming, cloud gaming, video conferencing and broadcast on every modern NVIDIA GPU. You will be the software-craftsmanship anchor of a small Software team inside A&A. You will craft and implement the core components developed using C++ alongside Python. These components support our research and product paths. You will raise the engineering bar across the group. You will also guide research code through to the shipping NVENC/NVDEC SDK.
This is a hybrid role - 4 days per week from the office.
What You'll Be Doing
Work closely with our Architects and Algorithms Engineers to understand the needs and build, implement and/or optimize the most elegant solutions - in modern C++ and Python
Set the bar for what good software means inside A&A: reviewing code, mentoring engineers from non-software backgrounds, and bringing the rest of the group up with you
Implement detailed, focused tweaks into the SDK and the wider video stack. These changes let researchers test new ideas without forking the world. Walk research code through to a shipping NVENC/NVDEC release when needed.
Profile and optimize critical paths in the codec stack; reach for CUDA when CPU-side optimization is not enough
Build and sharpen the small libraries, frameworks and tools the team uses every day, and make sure they are a joy to work with.

Lead the full design process from discovery and concept validation to polished UX and UI.

Design Product Led Growth (PLG) experiences that boost activation, retention, and monetization.

Create new experiences that make customers and prospects feel the power of an AI-Native ITSM.

Collaborate closely with Product, Engineering, and other designers to define and iterate on the user journey.

Use data, research, and experimentation to validate and optimize design decisions.

Build and maintain a consistent, scalable visual language across the product.

Leverage AI tools throughout your workflow to design, validate, and ship faster.

As an Integration Specialist, you will be the technical "glue" connecting our ITSM platform to the worlds leading cloud and IT ecosystems.

This is a unique, high-visibility role for someone who wants to combine deep technical work (APIs, AI-coding, and Workato) with a strategic, client-facing edge. Youll build the automations, train our teams to sell them, and jump on calls to prove their value to global customers.

Key Responsibilities
Build & Automate: Design and deploy API-based integrations between us and platforms like AWS, Azure, Security tools, Asset management solutions, and more using our Agentic AI tools and low-code tools (Workato).
Technical Sales Support: Join discovery calls with prospective customers to understand their technical environment and demonstrate how our integrations solve their business pains.
Internal Enablement: Act as the subject matter expert by training internal sales and success teams on how to effectively position and "sell" our technical capabilities.
Documentation: Work with our technical writer to create clear technical blueprints and "how-to" guides for both internal implementation and customer-facing use.

We are at a pivotal stage in building and scaling our data domain, and we are looking for a Data Engineer to join our growing BI team. This role goes beyond building pipelines. You will help shape our data platform as a shared product - supporting analytics, reporting, and decision-making across key company data domains such as Product, Sales, HR, and others. Your work will directly influence how stakeholders interact with data today and how the platform evolves in the years ahead.

What Youll Be Doing
Architect & Own: Lead the design and development of scalable data warehouse and BI solutions. You will make early-stage architectural decisions and own their long-term impact.
Infrastructure as a Product: Build core data infrastructure and developer experiences that others rely on, ensuring high availability and system reliability.
End-to-End ELT/ETL: Solve complex integration problems by sourcing data from structured and unstructured sources using Rivery, Python, and optimal ETL patterns.
Data Quality & Governance: Implement frameworks for schema evolution, anomaly detection, and data freshness. You will determine security models based on privacy requirements and evolve governance processes.
Strategic Collaboration: Partner with Engineers, Product Managers, and Data Analysts to conceptualize data needs and represent key insights in a meaningful way.
Optimization: Assist in owning production processes, optimizing complex code through advanced algorithmic concepts to manage operational cost-benefit tradeoffs.

We're looking for professionals with strong organizational and follow-up skills who work well in a team environment. Prior lead generation or sales prospecting experience and a college degree will enhance your candidacy for this role.

Responsibilities:

Generate a pipeline by setting qualified discovery and first meetings for Account Executives across a defined territory and ABM target list.
Execute daily outbound prospecting to targeted accounts via cold calling, email, LinkedIn, and personalized sequences.
Manage inbound leads end-to-end: fast follow-up, qualification, routing, and conversion to meetings/opportunities.
Help build and prioritize strategic target account lists in partnership with Sales and Marketing (ABM).
Research and develop account intelligence: org structure, initiatives, triggers, tech stack, and key stakeholders.
Conduct high-quality conversations with senior stakeholders (Director/VP/C-level), uncovering pain, urgency, and decision process.
Qualify using a consistent framework (e.g., MEDDICC/BANT) and document clearly in CRM to support smooth AE handoff.
Maintain a tight handshake with Sales: align on messaging, account plans, next steps, and meeting outcomes; follow through on no-shows and stalled accounts.
Collaborate with Marketing on campaigns, events, and account plays; provide feedback loops on lead quality, messaging, and ICP fit.
Consistently achieve monthly activity and pipeline targets (meetings held, qualified opportunities created, pipeline value).

Were seeking a tech-savvy Product Manager to lead one of our cross-functional squads. In this role, you will drive the development and success of our product, shaping solutions that enhance efficiency and automation for IT teams worldwide.

As the Product Manager, you will own the product vision and roadmap, turning complex challenges into intuitive, impactful solutions. Youll collaborate with engineering, design, and business stakeholders to deliver innovative features that empower thousands of global customers and shape the future of AI-powered IT Service Management.

Responsibilities
Lead a cross-functional squad to own and deliver AI-driven product initiatives end-to-end, from discovery to launch and adoption.
Stay at the forefront of AI technology and trends, bringing innovative capabilities into our product in a practical, customer-focused way.
Partner closely with Product Design to deliver best-in-class AI experiences that are intuitive, trustworthy, and drive adoption.
Define and prioritize product requirements by combining user feedback, market trends, data insights, and stakeholder input.
Drive data-driven decision making by defining success metrics and using product analytics to evaluate impact, adoption, and customer value.
Monitor and continuously improve AI performance over time, including quality, accuracy, latency, reliability, and user trust, ensuring consistent value at scale.
Collaborate with internal teams (engineering, analytics, customer revenue, and marketing) to ensure successful execution and alignment with business goals.

We seek a proactive and relationship-driven Account Executive responsible for spearheading growth initiatives within our SMB client network. Your main duties will include identifying expansion opportunities, nurturing existing relationships, and leveraging these connections to broaden your network, driving account growth.

Key Responsibilities:
Cultivate relationships with existing Mid market clients and innovatively enhance expansion performance through creative strategies.
Create and deliver compelling product and service presentations to existing customers to drive growth.
Identify growth opportunities, engage with existing customers, deliver presentations, and drive closure on business opportunities.
Demonstrate proficiency in technical problem-solving and possess strong technical adaptability skills.
Follow up on marketing & CSM-generated leads to build the expansion sales pipeline.

We are seeking a dynamic and experienced Threat Hunter to lead proactive cybersecurity efforts by uncovering hidden threats across our environment. In this role, you will drive hypothesis-based hunting, perform deep analysis and validation of security telemetry, investigate suspicious network activity, and continuously improve threat detection and response.
You will also assess CVE relevance and exploitability to prioritize real-world risk, and leverage threat intelligence feeds and enrichment pipelines to enhance hunting context, detection accuracy, and response effectiveness.
If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.
Responsibilities:
Apply data analytics to analyze security-related network data, uncover actionable threat intelligence, detect anomalies and malicious behavior, and automate findings into an enhanced detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Work closely with Product and Engineering to translate threat intelligence into product strategy, prioritized features, and defensive enhancements.
Monitor and analyze the latest vulnerabilities, CVEs, exploits, and threat actor TTPs, with a focus on techniques relevant to microsegmentation, identity security, lateral movement, and internal reconnaissance.
Integrate external threat feeds and intelligence sources into our product - including normalization, enrichment, classification, and validation of feed relevance.
Contribute to detection logic, threat models, and internal tooling that turn intelligence into prevention and protection.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.