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We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group.

In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools.

The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.

We are seeking a Director of Product to oversee and guide the entire product lifecycle and strategy for our vision technology solutions designed specifically for the rail industry.

Responsibilities:
Develop and execute a comprehensive product roadmap that aligns with company objectives and market needs.
Conduct in-depth market research to identify trends, opportunities, and the competitive landscape.
Work closely with sales, marketing, and customer support teams to ensure product alignment with market needs and customer expectations.
Collaborate closely with R&D and other cross-functional teams to define and prioritize the product roadmap according to strategy.
Prioritize product features and enhancements based on customer feedback, market analysis, and business goals.
Communicate product strategy and updates effectively to internal and external stakeholders.
Build and maintain strong relationships with key customers and industry partners.
Define and track key performance indicators (KPIs) to measure product success and impact.
Ensure products meet regulatory and safety standards specific to the rail industry.

We're looking for a Director of Product Management to own our financial-products portfolio end to end and to lead the new, standalone initiatives that leverage HB's financial products across the member base. You'll be the owner of HB's financial products and the market pulse on what's coming next that can help our members - new payment methods, new banking and capital capabilities, new ways money moves for service businesses.

This is a senior individual-leadership role. You'll lead through ownership, clarity, and influence.

What you'll own
The portfolio - payments processing, Balance (banking), Capital (lending), instant payouts, territory expansion and new business opportunities

New standalone initiatives - identify, scope, and drive new bets that leverage HB's financial products for the member base, from idea through PMF.

The market pulse - track where payments, fintech, and embedded finance are moving; bring the developments that can help HB members before competitors do.

The vendor stack - Stripe, Plaid, Unit, QuickBooks. Contract negotiation, escalations, roadmap alignment and more

The economics - GPV, take-rate, unit economics, margins, fraud loss appetite, vendor cost. You own and defend the numbers.

We're looking for a Senior Applied AI Scientist to sit at the frontier of AI security - turning emerging threats into the detection models that protect how AI is used inside the world's largest organizations. You'll be part of the AI Security Research department, working hand-in-hand with security researchers to translate threat intelligence into trainable signals that catch malicious behavior and security risks across the AI-powered workflows of Fortune 500 companies.
You'll bring deep technical versatility - reaching for classical ML, deep learning, or agentic based approaches based on what the problem demands, and the evaluation rigor to know when a model is truly ready for the real world. If you want to define what AI security engineering looks like, not just practice it, this role is for you.
What Youll Do:
Build, train, and ship detection models end-to-end, from raw data to production
Choose the right method for each problem - traditional ML, deep learning, fine-tuned LLMs, agents or heuristics - based on theoretical insights turned into practical results.
Partner with security researchers to turn security research outputs and domain expertise into detection capabilities
Own evaluation: design benchmarks, build labeled datasets, and define production standards
Monitor models in production across all paradigms - ML, deep learning, LLM-based, and agentic systems to track degradation and ensure reliability
Iterate fast, with a tight feedback loop between model performance and product outcomes

we are looking for a Senior Backend Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principles
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews, and Code Reviews

Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.
Responsibilities:
Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.

As a Full Stack Software Engineer, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.

We are seeking a Data Analytics Team Lead to manage and deliver data analytics projects in the public transportation sector. This role combines hands-on analytical work with team leadership, managing and mentoring a team of analysts while delivering advanced analytics that generate meaningful business, operational, and strategic insights - including spatial based insights that are central to transportation planning and operations.
The ideal candidate is both a strong individual contributor and an effective people leader, with deep analytical and technical expertise, including geospatial/GIS analysis, and the ability to translate complex data into clear, actionable recommendations.
Key Responsibilities:
Lead, mentor, and manage a team of 4 data analysts, ensuring high-quality delivery and supporting professional growth, perform hands-on data analysis and guide the team in solving complex analytical problems
Delivering business, operational, and strategic insights derived from data analysis, including geospatial based analysis
Own end-to-end analytical workflows - from data ingestion and modeling to visualization, mapping, and client delivery
Serve as a trusted partner to the client, building strong working relationships, understanding evolving business needs, and translating them into analytical solutions.
Support the professional growth of team members through coaching, mentoring, knowledge sharing, and analytical guidance.
Develop analytical solutions using Python, SQL, Excel, Power BI, and GIS/mapping tools
Collaborate with business and technical clients across the organization
Drive adoption of AI-powered analytics, automation, and scalable data solutions.

We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team.

In this role, you won't be managing a team; youll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow.

Here are a few of the things you'll do:

Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving us toward an AI-first, autonomous fraud detection ecosystem.

AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors.

Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.

Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one.

Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats.

Data Excellence: Set the standard for the fraud teams technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference.

As a Backend Software Engineering, your job responsibilities will include:
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations. You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.

What You'll Do:
MCP Development & Implementation

Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities
Architecture & Design

Architect scalable MCP solutions that handle high-volume data access patterns
Design efficient protocol implementations that minimize latency and maximize throughput
Create reusable MCP components and libraries for internal and external use
Establish best practices for MCP server development and deployment
Integration & Collaboration

Integrate to our identity platform
Work with DevOps teams to deploy and monitor MCP services in production environments
Partner with security teams to ensure MCP implementations meet compliance and security requirements
Integrate MCP solutions with existing infrastructure and third-party services
Quality & Performance

Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests
Monitor and optimize MCP server performance and resource utilization
Debug complex issues in distributed MCP environments
Maintain detailed documentation for MCP servers and integration patterns
Contribute to Open Source

Engage with the open-source community, contributing to the development and improvement of MCP

We are looking for an exceptional Software Engineer to help us with our mission to ease the Authentication burden for every developer out there.
You should be able to build high-quality, innovative and fully performing software in compliance with coding standards and technical design. The position will have significantly more Frontend work than Backend.

What You'll Do:
Build high-quality, innovative and fully performing software in compliance with coding standards and technical design
Take on significant Frontend work while contributing across the full stack
Contribute to architectural and technological decisions
Work closely with developers, engineers and designers

We're looking for an outstanding Web Developer to own the frontend experience of our no-code Authentication solution - shipping web components that developers drop straight into their apps.
You'll work closely with developers, engineers, and designers, and while backend work is on the table, your playground is the frontend.

What You'll Do:
Build and maintain web components for our no-code platform
Write clean, testable, and efficient code using best practices (yes, we actually mean it)
Contribute to architectural and technological decisions- your opinion matters here
Conduct design and code reviews
Work daily with TypeScript, React, and CSS

We are looking for a Staff DevOps Engineer who will help us maintain high availability of our platform and improve our CI/CD pipelines.

What You'll Do:
Build automations on top of Pulumi
Solve difficult problems regarding the architecture and deployment of the Descope Product
Build infrastructure for dev teams to ship features faster and more reliably
Build infrastructure to support very high workloads and traffic

Were looking for a Senior Product Manager to own the shared infrastructure layer that powers our Maritime Behavior product group - the platform that the maritime Activities and Risk building blocks are built on top of. This infrastructure is what turns maritime facts and signals into the higher-order behavioral insights our customers rely on, and a big piece of it is the ML pipelines that let the team take a new detection or risk model from research into production with minimal friction.

This is a deeply technical role. Youll spend most of your time partnering with engineering - architects, engineers, and the other PMs in the team - on how the infrastructure is designed and how it scales. Your two main areas of focus are architecture and design partnership (shaping how the infra is built) and the non-functional posture of the system (performance, scale, reliability, cost). The internal product roadmap and the APIs other teams consume are a by-product of getting these two right.

The infra is primarily consumed by other product teams inside the company, but parts of it are exposed externally - APIs, feeds, and capabilities that customers depend on - so youll need to think about both internal developer experience and external contract stability.

Were hiring for technical depth and architectural judgment over maritime domain knowledge. If youve built shared platforms used by other product teams and youre at home in deep system-design conversations, we want to hear from you.

What youll do:
Own the product vision, roadmap, and backlog for the Activities and Risk infrastructure layer - covering data and streaming pipelines, ML model lifecycle, and the core services that the behavior products build on.
Drive the ML pipeline product: make it fast and frictionless for the team to take a new detection or risk model from research into production, with strong evaluation, observability, and rollout primitives.
Partner deeply with architects and engineering leads on system design - drive trade-offs on architecture, technology choices, scaling strategy, and where to invest engineering effort.
Own the non-functional posture of the infrastructure - latency, throughput, reliability, cost, and observability - and define the metrics and SLAs the team is held to.
Work hand-in-hand with other PMs (Activities, Risk, Maritime intelligence) to understand what they need from the infrastructure and turn those needs into a coherent platform roadmap.
Shape the API and event contracts the infrastructure exposes - both to other internal teams and to external customer surfaces - so theyre versioned, stable, and easy to build on.
Communicate roadmap, technical trade-offs, and progress clearly to engineering, product, and company leadership.