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We are looking for a brilliant and highly motivated Full Stack Engineer who is passionate about technology and eager to make an impact. In this role, you will work on our web applications, contributing to both backend services and frontend applications to ensure seamless performance and scalability. You will be responsible for designing and implementing new APIs, optimizing existing systems, and building high-quality, maintainable solutions that enhance the overall user experience.

What will your day to day look like:
Full-Stack Development: Build and deploy frontend and backend code that supports growth initiatives, ensuring scalability and performance.
Rapid Prototyping: Quickly turn ideas into MVPs for testing and validation, using an agile and iterative approach.
Data-Driven Decision Making: Work closely with analytics tools to gather insights, track KPIs, and make informed decisions that fuel growth.
Collaborate with Cross-Functional Teams: Partner with marketing, product, design, and data teams to identify opportunities and run experiments.
Contribute to the Growth Strategy: Bring your technical expertise and creativity to brainstorm and prioritize growth opportunities that align with business goals.

As a PM at Riverside, you'll stay laser-focused on users, uncovering deep insights through qualitative discovery and user interviews to solve real problems. You'll empower engineers and designers as equals, fostering a self-managing team that collaborates effectively and drives meaningful impact.

Own the IoT product line lifecycle from strategic planning through execution, launch, and lifecycle management.
Define and maintain the portfolio roadmap, balancing short-term customer needs with long-term strategic priorities.
Translate market needs, customer use cases, and competitive input into product requirements, business cases, pricing and COGS targets, and time-to-market plans.
Lead PLM-owned stages in the feature and release lifecycle, including feature requests, high-level business case creation, GTM readiness, and go / no-go decisions.
Define product functionality through technical specifications and use cases, and work closely with R&D to ensure high-quality end-to-end delivery.
Drive commercialization of IoT portfolio, including offers around secure and resilient SCADA transport, smart IoT solutions, and industrial and utility connectivity use cases.
Work with marketing and product marketing on positioning, launches, presentations, data sheets, webinars, GTM toolkits, and sales enablement content.
Partner with sales and account teams to support customer opportunities, RFIs / RFPs, partner discussions, and strategic deals.
Manage and prioritize initiatives tied to IoT differentiation, including security-by-design, certifications, protocol conversion, edge intelligence, and resilient communications.
Monitor market trends, competitor activity, and adjacent technologies such as private LTE / 5G, edge computing, AI / ML integration, and industrial IoT applications to shape roadmap decisions.

Were hiring a Senior Product Manager who moves the needle. Someone who thinks big, challenges assumptions, and brings bold, out-of-the-box features that truly elevate the product. Were looking for a builder who sees the full picture and knows how to turn vision into meaningful impact at scale.

Input comes at you from everywhere: CS, Support, Sales, Marketing, the CEO, the CTO, the data, and above all, customers. Your job is to turn all of it into a prioritized roadmap our ~15-person engineering team ships - and then to own what happens after: adoption, impact, iteration. You'll work directly with the CEO and CTO. [You'll be our first dedicated PM / the senior-most product owner]

Responsibility
Sit with customers - bookkeepers, agency owners, IT providers - map how money really moves through their firms, and turn that into a product.
Run the roadmap: intake from every team, ruthless prioritization, tradeoffs made explicit - including telling the CEO "not this quarter," with reasons. Translate insights and push initiatives forward end-to-end - from idea to release and adoption.
Write specs that engineers respect: enough clarity to build from, enough room to push back on. Maintain and prioritize a dynamic roadmap based on impact, effort, and strategic goals.
Pull your own data, define success metrics before launch, and kill the things that don't work.
Ship AI features in a domain where being wrong has a cost - and design for that: confidence thresholds, review loops, easy undo.

Were looking for a Senior Backend Engineer whos eager to become one of our core team members and establish themselves as a significant building block of our products and company at this exciting and critical point in time before we reach greater heights.

Responsibility
Research, design, and implement high-performance resilient APIs and services
Contribute to a positive and collaborative team environment by sharing your knowledge and expertise
Collaborate with engineers and product managers to deliver robust solutions in short development iterations
Develop maintainable and clean code with heavy reliance on developer testing
Make thoughtful trade-offs based on business priorities, user needs, and a sustainable technical foundation

we are looking for a Senior Full Stack Developer
Responsibility
Plan, implement, and take full ownership of core features, ensuring the successful completion of the entire development cycle from design to deployment
Lead architectural decisions and create comprehensive implementation plans to ensure scalable and secure feature delivery.
Orchestrate parallel development streams to maintain high velocity across multiple branches and complex pull requests.
Drive technical excellence by proactively exploring and sharing new technologies, AI tools, and libraries to continuously improve code quality, build performance, and system scalability.
Collaborate with cross-functional teams to contribute to high-level system design and product strategy.
Create and integrate user interfaces from scratch, ensuring intuitive, high-performance, and responsive designs.
Contribute to back-end logic in NodeJS servers and monitor/fix production issues as they arise.

we are seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform - with a growing focus on securing modern SaaS and AI-powered application ecosystems. we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. Youll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams. ‍

Responsibilities
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security

We are looking for an experienced Product Manager to join our Product team and lead major parts of SaaS Security platform, with a growing focus on securing AI capabilities embedded in SaaS applications.In this role, you will design, define, and deliver core product features, working closely with engineering, sales, and marketing. You will help shape how organizations secure modern SaaS environments - including AI-powered features such as copilots, agents, and generative AI integrations - and translate emerging market needs into impactful product capabilities.If you thrive in fast-paced environments, enjoy owning complex products, and want to be at the forefront of SaaS Security in the AI era, wed love to talk.Responsibilities

Define and prioritize product features and capabilities, including security and governance for AI features within SaaS applications
Lead discovery for new product initiatives, focusing on risks and attack surfaces introduced by AI adoption in SaaS environments
Create clear product requirement documents (PRDs / FRDs) and manage the product backlog
Work closely with engineering teams to ensure delivery aligns with the product roadmap and customer needs
Conduct market research and customer conversations to understand how AI is being used in SaaS and the resulting security challenges
Collaborate with sales and marketing on product launches, messaging, and enablement.
Monitor competitors and market trends across SaaS Security, AI Security, and identity-related domains
Balance quarterly planning with the flexibility to rapidly adjust priorities in a fast-changing market

Were looking for a Senior Backend Engineer to join core engineering group and build the systems behind one of the worlds largest location-analytics platforms.

In this role, youll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If youre motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.





RESPONSIBILITIES:

Design, build, and evolve large-scale, distributed backend systems that power data and AI products
Own services end-to-end - from architecture and design to production, monitoring, and continuous improvement
Drive performance, scalability, and reliability, using data and metrics to guide decisions
Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
Raise the engineering bar through code reviews, design discussions, and technical mentorship

Were are looking for a Senior Checkout & Payments Product Manager to join our growing product team. In this role, you will lead shopper checkout experience and payments-related products and services that sit at the heart of our value proposition - converting international shoppers and enabling merchants to grow cross-border revenue.
You will develop key product initiatives across checkout and payments, partner closely with engineering, design, professional services, operations, and commercial teams, and guide solutions from ideation through launch and ongoing optimization - balancing conversion, localisation, compliance, and business growth.
Description:
End-to-end shopper checkout experience - from cart entry through address, shipping selection, payment presentation, and order confirmation - optimising for conversion, clarity, and trust
Checkout & Payments product initiatives, conversion, rollouts and merchant adoption
Checkout UX initiatives that reduce friction: address forms, validation, error handling, mobile layouts, accessibility, and trust surfaces
Merchant-configurable and brandable checkout capabilities (layout, theming, fields, payment-method presentation) so enterprise customization becomes productized rather than one-off engineering
Partnership with enterprise merchants, Professional Services, and GTM to turn high-touch requirements into reusable checkout capabilities
Localization of the checkout experience and payment methods across markets - including language, local UX patterns, and market-specific address and payment presentation
Strong knowledge of online payment processing systems, technologies, and industry standards (including PCI-DSS, GDPR, and tokenization), and familiarity with credit cards, digital wallets, bank transfers, and emerging payment trends
AI driven product requirements, detailed specifications, and AI agent based delivery with engineering - from ideation to launch, including UAT and iteration based on customer feedback and data
Checkout and payments KPIs (conversion, step drop-off, time-to-complete, error rates, payment performance) and use of experimentation / funnel analytics to priorities the roadmap

As a Senior DevOps Engineer, you will be a key member of a high-performing team focused on building resilient, highly available, and production infrastructures. Your role is to bridge the gap between development and operations by applying software engineering principles to automate, scale, and optimize our cloud ecosystem.



Utilizing Terraform for lifecycle management and Amazon EKS for orchestration, you will build and scale robust, self-healing environments.



We are looking for an engineer who doesn't just use tools, but understands the Linux foundation they run on. You will work to ensure our systems are transparent, measurable, and elastic through reliable GitOps practices and full-stack observability. You will also implement and maintain essential DevSecOps tools to keep our environments secure.





Key Responsibilities

Linux Systems Engineering: Maintain a deep-dive understanding of Linux internals to identify bottlenecks and optimize configurations.
Container Orchestration: Manage production-grade Amazon EKS clusters and implement modern autoscaling solutions like Karpenter.
Full-Stack Observability: Own the migration and maintenance of the Grafana-based observability suite (Grafana, Tempo, Mimir, Loki).
GitOps & IaC: Lead GitOps initiatives with ArgoCD and architect modular Terraform or Crossplane codebases.
Python Tooling: Develop custom tools and AI agents using Python to automate research and development cycles.
Vulnerability Management: Integrate automated image scanning and Software Composition Analysis (SCA) tools into the SDLC.

Develop and maintain data processing pipelines.
Collaborate with data scientists to optimize data models.
Implement scalable algorithms for data analysis.
Ensure high performance and reliability of data systems.
Participate in code reviews and knowledge sharing sessions.

We are looking for a Global Vice President of Product to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.



If you combine strong product leadership and strategic thinking with the ability to translate company vision into a rigorous, committed product plan that drives real business growth, and if you are motivated by owning a global product organization end-to-end and building the engine behind a $100M+ ARR business, could be your next challenge.





Responsibilities:

Define, together with the leadership team and commit to a product roadmap that aligns with our long-term commercial objectives and company strategy.
Drive a culture of high-velocity execution. Partner deeply with R&D to bridge the gap between "the vision" and "the ship date," ensuring high-quality, on-time delivery.
Work hand-in-hand with Sales and GTM teams. You are responsible for ensuring strong product-market fit and that our roadmap directly translates into revenue and market share.
In a fast-moving, complex enterprise environment, you will drive what gets built, why, and when, balancing innovation with the needs of our global customer base.
Act as a strategic partner to our top-tier clients. You will engage directly with enterprise stakeholders to validate priorities and ensure our roadmap solves the industry's most pressing challenges.
Lead, mentor, and scale a world-class global product team, fostering a culture of accountability, data-driven decision-making, and user-centricity.

We are looking for a VP Data Intelligence & AI Enablement to join our Team.

Why is this role so important?

As VP of Data Intelligence & AI Enablement, you will own the data foundation that powers AI-native future.
You'll lead the BI team and the Data Analyst teams embedded in GTM (Sales, Marketing) and Product- teams that are already AI-fluent, working daily with Cursor, Git, and LLM tooling.
Your mandate is to channel that capability into building production-grade agentic solutions that drive measurable business outcomes across GTM, Product, and G&A.



So, what will you be doing all day?

AI Infrastructure (MCP): Develop the internal data and API layer to make business data accessible, safe, and actionable for AI agents across GTM and Product.

Proactive Intelligence: Shift the company from traditional reporting to automated, AI-pushed insights and dashboards delivered directly to stakeholders.

Semantic Layer & Governance: Build and own the unified semantic layer to ensure a single source of truth and eliminate metric misalignment across Sales, Marketing, CS, and Product.

Scaling Analytics with AI: Lead and upscale the data analysts function into "AI solution builders," implementing automated agentic workflows (using Cursor, Git, LLMs) to handle complex processes.

GTM & Product Analytics: Own the core analytical frameworks for key business metrics (Pipeline, Conversion, CARR, Retention, and Product Usage).

C-Suite Partnership: Serve as the strategic data thought-partner to the executive team (COO, CRO, CPO, CMO, CFO) to align data strategy with business priorities.

We are looking for a Principal Tech Lead to join our team.

So, what will you be doing all day?

As a Principal Tech Lead, your daily impact spans deep-tech execution, organizational mentorship, and bleeding-edge paradigm adoption:

Architectural Governance: Own the end-to-end design, scalability, and performance of complex backend distributed systems. Ensure architectures are resilient, modular, and optimized for intensive data workloads.
Agentic Engineering Innovation: Champion and embed Agentic SDLC paradigms, tools and solutions into the engineering lifecycle. Design frameworks that enable autonomous AI agents to build, test, and deploy features end-to-end, while enforcing rigorous quality gates and deterministic production guardrails.
Cross-Project Orchestration: Maintain an exceptionally large context window to actively guide and facilitate multiple highly technical streams and parallel projects simultaneously without losing focus or delivery speed.
Guild Leadership & Mentorship: Act as the primary technical sounding board for the engineering community. Lead backend guild sessions, introduce emerging technologies, and actively mentor senior and staff engineers to elevate the group's collective capabilities.
High-Velocity Execution: Lead by example. When taking on critical path, hands-on tasks, execute with unmatched speed and quality, demonstrating what peak operational efficiency looks like.