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We are looking for an experienced Senior Product Manager to join our growing Product team. This role combines strong product ownership, deep technical expertise, and customer-facing capabilities. The ideal candidate is a versatile, hands-on professional who can bridge customer needs, business requirements, and complex technical solutions.
This position is ideal for someone with a strong background in Networking and Cyber Security, who enjoys working across product discovery, engineering execution, customer engagements, and go-to-market activities. The successful candidate will be comfortable operating in a fast-paced, high-growth environment, managing multiple initiatives, and collaborating with teams across the organization.
Responsibilities:
Own product initiatives end-to-end, from discovery and requirements definition through execution, delivery, and adoption
Drive both inbound and outbound product management activities, including roadmap definition, customer feedback analysis, market understanding, and go-to-market collaboration
Translate complex customer and business requirements into clear product specifications, including PRDs, user stories, acceptance criteria, and prioritized backlogs
Work closely with R&D teams to define solutions, review technical designs, discuss architecture trade-offs, and ensure secure-by-default product decisions
Act as a technical product expert during customer engagements, supporting pre-sales activities, product demonstrations, technical discussions, and strategic customer meetings
Collaborate with Sales, Solution Engineering, Customer Success, and Product Marketing teams to enable customer-facing activities, technical collateral creation, and successful product launches
Create and maintain high-quality technical documentation, including solution briefs, use cases, technical specifications, architecture overviews, knowledge base articles, API documentation, and customer-facing technical materials
Partner with UX teams on user flows, discovery, and delivering intuitive product experiences
Identify opportunities to enhance and expand platform capabilities across multiple cybersecurity domains
Leverage AI tools to improve product workflows, technical research, documentation, analysis, and overall productivity
Manage multiple projects and priorities simultaneously while maintaining focus on business impact and customer value

Were looking for a Senior Backend Engineer to join mobility 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 millions of clients, 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:
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

we are looking for a Big Data Engineer.
As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:
Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

we are looking for a Senior AI Software Engineer.
As a Senior AI Software Engineer, you'll help build that platform end to end - the agents, connectors, automation, and infrastructure that let the entire company unlock major productivity gains. You'll be designing and shipping AI that takes real work off people's plates, turning manual processes into automated ones, and building the systems that let teams do their best work faster.
Developing our use of Claude and Databricks - currently the backbone of that internal AI stack - is a key part of the mandate. Every one of our 500+ team members already uses Claude and BI in Databricks for analysis, automation, and research, and demand for deeper integrations is growing faster than our R&D team can deliver. You'll be tasked with driving these capabilities and impact to the next level - from surface-level usage to genuinely agentic, high-leverage workflows embedded across the business.
This is a hybrid role: part platform engineer, part internal-facing integration lead. You'll report to the COO and partner across AI Operations, R&D, Data Science, GTM, and other teams, owning the path from integration request to production-grade system. You'll also help build the triage and review process so the broader org can self-serve safely.
If you want to build the AI backbone of a fast-moving company - and see your work adopted by hundreds of people within days rather than quarters - this is that role.