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We are looking for a Senior Product Designer who thinks in systems, not just screens. Youll play a key role in shaping the future of our AI-driven trust platform, crafting intuitive experiences and interfaces for complex challenges in the B2B SaaS Enterprise space.

What you'll be doing:
Crafting complex features, data visualisations and AI capabilities for our next-gen platform that not only look great but drive real value and operational efficiency for our merchants.
Contributing to the growth and scalability of our internal design system (ShadCN based), ensuring consistency between design and engineering.
Partnering closely with Merchants, Product, Engineering and GTM to define solutions.
Accelerating our design-to-build workflow by utilising GenAI tools such as Claude-Code, Codex, and Lovable.
Collaborating across our global teams to align on a shared product vision.

We are looking for a Product Analytics Manager to serve as the analytical focal point of our product organization. You will define what success looks like-setting clear, measurable benchmarks for both internal and external performance-then regularly track progress, diagnose root causes of issues, and recommend strategic actions. You will build our product analytics function from the ground up, defining key KPIs and constructing the supporting infrastructure. Your analyses will guide decisions across the product organization, prioritizing initiatives that close gaps and unlock opportunities.

What you'll be doing:
Define and monitor core product KPIs (Top 4 + product-specific), set benchmarks, and build dashboards that highlight performance and flag gaps.
Diagnose issues and recommend prioritized, data-driven solutions to course-correct.
Oversee external benchmark tracking (e.g., our Performance) and compare against market and industry standards.
Maintain alignment across systems by enforcing metric definitions, approving deviations, and validating new metrics.
Shape KPI-focused narratives to support product marketing efforts, highlighting measurable results aligned to strategic outcomes.
Design new attributes for cross-product analysis and craft compelling visual and verbal stories that translate analytics into stakeholder action.

We are looking for a Technical Program Manager with a can-do attitude who loves to get things done. Who has a high-level view and is detail-oriented. Someone who demonstrates asense of urgency and ownership to drive projects to completion.
In this role you will be:
Thinking strategically with the ability to define, influence, and implement processes and routines.
Driving the engineering organization to be data-driven by collecting and visualizing data.
Working with stakeholders to understand their business requirements and translate them into technical and functional specifications.
Coaching teams in Agile frameworks and Scrum ceremonies.
Guiding development teams to higher Scrum maturity and continuous improvement.
Facilitating internal communication and effective collaboration.

hiring a talented Android SDK Engineer to join our team of engineers. In this role, you will be responsible for designing and building the next generation of our Android SDK, a high-performance product used by many of the most popular apps and games in the market.
Our SDK operates at an extreme scale, generating billions of ad requests and events daily. Your work will impact millions of users by delivering various ad formats through industry standards such as VAST and MRAID.
Beyond mobile, this is a unique opportunity to join a lean team working on diverse projects involving Go-lang, React, and big-data frameworks that empower both our internal systems and external customers.


Your Responsibilities
Play a key role in designing and implementing an industry-leading SDK used by nearly a billion users daily.

Contribute to the building and maintenance of SDK adjacent systems, including an analytics big-data platform and multiple Kubernetes-based microservices.

Produce clean, scalable, and testable code that meets high engineering standards.

Work within a dynamic, cross-functional team, collaborating with product managers, support teams, and QA and automation engineers worldwide.

About the DevOps Tech Lead Role:

Technical Guidance & Mentorship: Serve as the technical authority for the DevOps team, mentoring engineers on best practices, complex problem-solving, and architectural decisions

Deep Hands-On Contribution: Dedicate a significant portion of your time to hands-on coding, infrastructure development, and process automation. You will be a key individual contributor

Advanced System & Cloud Architecture: Take a leading role in designing, implementing, and evolving our cloud architecture for massive scale, ensuring best-in-class resilience, performance, and cost-efficiency

Technical Ownership: Own the technical design and operational health of critical infrastructure components, driving the resolution of complex production issues

Innovation & Automation: Proactively identify and implement automation and innovative tooling to improve system reliability, shorten development cycles, and eliminate manual work (toil)

Cross-Functional Collaboration: Collaborate with engineering, data, and product teams to design next-generation systems, ensuring seamless integration and operational excellence. Actively participate in aligning tools and processes with multiple DevOps teams across the company

Developer Enablement & Scalable Tooling: Focus on building lasting, reusable solutions and internal tools that empower developers. Champion a mindset of creating self-service "paved roads" that improve the developer experience and help engineering teams ship features faster and more securely

We are seeking a highly analytical and experienced Senior Product Analyst to serve as a critical strategic partner to our Data Science (DS) and Product teams. This role is focused on driving tangible business value by transforming complex data into diagnostic, prescriptive, and action-oriented insights, specifically within the realm of Programmatic Exchanges, User Acquisition (UA) monetization, user and performance analytics. The ideal candidate is driven by deep intellectual curiosity and a fact-finding approach, excelling in causal analysis, bridging technical data insights with business strategy, owning the end-to-end "analytics-to-action" pipeline, and thriving on framing data-driven decisions for senior stakeholders.

What You Will Do As Senior Product Analyst:
Strategic Partnership & Consulting: Act as a primary analytical consultant to Product Managers and Data Scientists, embedding within teams focused on programmatic ad exchanges (e.g., SSPs, DSPs, auction mechanics) and UA campaign optimization/monetization performance.

Cross-Functional Catalyst & Fact-Finder: Act as the analytical bridge connecting Data Engineering (for data integrity), Data Science (for model interpretation and feature engineering), and Product/Marketing (for strategic direction). Proactively investigate data anomalies, system dependencies (e.g., a defunct tagging system), and underlying business mechanisms, driven by curiosity to arrive at the ultimate root cause and develop an evidence-based action plan.

Causal Analytics & Root Cause Identification: Design, execute, and interpret sophisticated analytical projects, with a strong emphasis on causal inference techniques (e.g., difference-in-differences, propensity score matching, robust experimentation analysis) to isolate the true impact of product changes, marketing spend, and market dynamics.

Diagnostic & Prescriptive Insight Generation: Move beyond descriptive reporting to identify the mechanism behind performance shifts (the "So What"). Develop clear, data-driven prescriptions and actionable solutions (the "Now What"), ensuring insights lead directly to measurable business outcomes (e.g., revenue lift, efficiency gains).

Own the Analytics-to-Action Pipeline: Fully own the lifecycle from raw data to executive recommendation. This includes defining key metrics, building robust data models, developing dashboards, interpreting results, and packaging findings into compelling executive narratives, culminating in "Prescriptive Framing" for decision-makers.

Programmatic Expertise: Dive deep into programmatic data streams (bid request signals, response, fill rates, eCPM, latency, etc.) to optimize monetization strategy, inventory quality, and exchange performance.

UA/Growth Performance: Analyze UA campaign algorithm effectiveness, ROAS opportunity, LTV/CAC models, channel efficiency, and attribution integrity to maximize ROI and define optimal investment strategies.

Experimentation Design & Analysis (A/B Testing): Partner on design, setup, and lead robust statistical analysis of complex A/B tests and quasi-experiments across product and growth initiatives.

Were on a mission to build the first holistic smart payment solution-one that maximizes authorization rates for our merchants by intelligently determining and executing the optimal strategy for every transaction. Our Payments team is designing and running highly critical, production-grade infrastructure, and were looking for a deeply technical engineer to help shape it from the ground up.

In this role, youll lead the design and development of payment products, build resilient infrastructure, dive deep into technical complexity to solve production challenges, and work closely with teammates, stakeholders, and customers to understand their needs. Youll have end-to-end ownership-from architecture and coding to deployment and monitoring-while helping set the technical direction for a growing initiative.

This is an early-stage effort, giving you the chance to be a founding member, influence architectural decisions, and directly impact merchant success. We value thoughtful technology choices, resourcefulness, and a fast-moving, problem-solving mindset. Our engineers are creative, independent, and adaptable, working with a diverse stack of technologies to deliver maximum value to our clients.

What you'll be doing:
Build and enhance payment products-creating new systems from scratch while improving and integrating with existing ones.
Design and implement resilient, production-grade infrastructure that can handle critical workloads.
Lead technical initiatives within the Payments team, collaborating with teammates and stakeholders across our company.
Work across a diverse tech stack and programming languages.
Brainstorm and shape features with product managers and peers, guiding decisions with your technical expertise.
Work closely with customers to understand their needs and translate them into impactful payment solutions.
Mentor and support fellow engineers.
Dive deep into technical complexity to diagnose and solve production issues
Take initiative-if you see a way to make our systems or workflow better, own it and make it happen.

hiring a QA Engineer that will join our Engineering department and contribute significantly to the testing of our next-generation products. This position requires a talented software engineer who possesses the drive to explore new technologies and a commitment to maintaining high standards of excellence.

Your Responsibilities
Play a key role in quality assurance processes across all phases of the lifecycle: design, development, integration, release, and deployment.

Ensure project goals, schedules, and quality objectives are consistently met.

Provide detailed test results and product feedback to facilitate continuous process and product improvements.

We're looking for a seasoned Senior Data Scientist to be a hands-on technical powerhouse and strategic driver on our team. You wont just build models; you will personally architect and implement the next generation of our decision engines, owning our most complex modeling challenges from whiteboard to production.

As a senior, hands-on member of the team, you will be a go-to expert. While you'll guide and mentor other data scientists, your primary focus will be on leading by example: executing on high-impact projects that define our competitive edge and directly influence our revenue. You'll contribute to the roadmap, not just follow it.


What Youll Do

Architect & Build: Lead the architectural design and hands-on implementation of our most critical ML models, tackling complex challenges in auction dynamics, user valuation, and more at a massive scale.

Influence Strategy: Contribute to and influence the data science roadmap in collaboration with Product and Engineering, ensuring our efforts are focused on maximum business impact.

Outsmart the Competition: Lead the charge in our high-stakes auction environment where your models edge creates outsized financial returns. You will design and own the experimentation framework to prove your impact.

Elevate Our Technical Bar: Set best practices for modeling and coding, and mentor other data scientists through complex technical challenges, code reviews, and model design sessions.

we are looking for a Cyber Security Researcher II.
The Security Researcher role involves developing detection methods and techniques to identify emerging threats for customers. Collaboration with researchers, data engineers, and product teams is essential to convert threat intelligence into actionable analytics. The position emphasizes hands-on work, research-focused tasks, and teamwork to address real-world security challenges effectively.
In this role you will be:
Designing, building, and validating new detections across large-scale customer and cloud telemetry, transforming threat research into impactful results.
Developing AI-powered techniques to improve detection precision, prioritization, and automated investigative functionalities effectively.
Analyzing various data sources like forensics, Active Directory, network, and cloud to identify threats and anomalies.
Collaborating with data scientists, engineers, and researchers to implement detection methods and enhance accuracy, scalability, and resilience.
Leading key research initiatives and proofs-of-concept, shaping Hunt's detection and analytics platform's strategic direction in hybrid and cloud-native environments.
Translating investigations into clear recommendations while communicating insights and findings effectively to customers.