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Requirements:
Experience: 5+ years in software engineering with a focus on backend development.
Curious, independent, and persistent - driven to solve hard problems.
Experience in owning and delivering projects and features end to end.
Strong proficiency in Node.js and TypeScript.
Familiarity with AWS, PostgreSQL, Redis, Kubernetes (K8s), and microservices architecture.
Solid understanding of RESTful APIs, cloud infrastructure, and database design.
Problem-Solving, excellent analytical and problem-solving abilities.
Strong communication skills with the ability to work effectively in a team.
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Bonus: Experience with open-source projects and contributions.

Requirements:
B.Sc. or M.Sc. in aerospace, mechanical, electrical, or systems engineering, or equivalent demonstrated practice.
6+ years in systems engineering or integration on aircraft, UAV, spacecraft, or comparably complex electromechanical programs - including at least one carried from requirements through test.
Working command of ARP4754A development assurance and ARP4761 safety assessment - you have written FHAs and derived requirements, not just read about them.
Hands-on experience with requirements management tools such as DOORS, Jama, or Polarion, and a record of building traceability that survives external scrutiny.
Demonstrated ownership of interface control across mechanical, electrical, and software boundaries: ICDs, signal lists, connector-level definition, and disciplined change control.
Experience planning and executing ground or flight test campaigns - test plans, procedures, instrumentation requirements, and rigorous post-test reconciliation against requirements.
Enough fluency in structural dynamics, vibration, or acoustics to interrogate a noise requirement and recognize when a subsystem's verification evidence does not actually close it.
Clear written English - your requirements, interface documents, and verification reports are the program's backbone and, eventually, its certification record.

Requirements:
5+ years of experience in merchant risk, payment operations, or chargeback and dispute management
Prior experience in a solutions, implementation, or technical account management role at a payments company, acquirer, or risk platform
Deep understanding of the merchant lifecycle: onboarding, underwriting, monitoring, chargeback representment, and dispute resolution
Experience working with or alongside LLM providers (e.g., OpenAI, Anthropic, Google DeepMind) in a product or solutions capacity
Ability to work across product, engineering, and customer-facing teams without formal authority
Strong written and verbal communication; able to translate operational complexity into clear requirements
Experience with hybrid work environments and managing multiple customer implementations simultaneously

Requirements:
M.Sc. in computer science, electrical engineering, or robotics - or a B.Sc. with equivalent demonstrated depth in perception systems.
4+ years building computer vision or perception software that shipped on real autonomous platforms - aerial, automotive, or robotic.
Strong modern C++ (C++17 or later) for real-time perception pipelines, plus fluent Python for training, tooling, and analysis.
Deep grounding in state estimation and sensor fusion: Kalman filtering variants, factor-graph optimization, or visual-inertial odometry in production.
Solid geometric computer vision fundamentals - multi-camera calibration, epipolar geometry, structure from motion - not just learned end-to-end models.
Hands-on deep learning for perception in PyTorch, including optimization and deployment to embedded accelerators via TensorRT, ONNX Runtime, or equivalent.
Demonstrated rigor in validating perception systems: ground-truth methodology, failure-mode characterization, and metrics you would defend at a safety review.
Field experience: you have debugged your own algorithms on real hardware outdoors, where the sun, the dust, and the multipath do not care about your test set.

Requirements:
Bachelors degree in Accounting or relevant field
Completed an internship/ previous relevant job experience
Big 4 firm experience
Proficiency in Microsoft Excel
Fluency in English (spoken and written)
Advantages
Experience in VC
Knowledge in tax regulation including global taxation
Strong analytical skills
Ability to manage processes
Team player, fast data learning ability, detail-oriented, and a good multitasker.

Requirements:
B.Sc. in Aerospace or Mechanical Engineering; M.Sc. with a structures or structural dynamics focus preferred.
5+ years designing and analyzing composite airframe or primary structure on aircraft, rotorcraft, UAS, or comparable flight vehicles.
Strong hands-on FEA capability in Nastran, ANSYS, or Abaqus across statics, buckling, and dynamics - with demonstrated correlation of models to physical test data.
Solid command of classical laminate theory, composite failure criteria, and the design of bolted and bonded joints in laminated structure.
Working fluency in structural dynamics: modal analysis, frequency response, and damping characterization, and an understanding of how these connect to radiated noise.
Experience carrying structure through physical test - static, fatigue, or modal/GVT - from test planning and instrumentation through post-test reporting.
Proficiency in Python or MATLAB for analysis automation, data reduction, and test-data processing.
Fluency in 3D CAD (CATIA, NX, or SolidWorks) and GD&T, with the ability to release production-ready structural definition.

Requirements:
Bachelors degree in Accounting or relevant field
Completed an internship/ previous relevant job experience
Big 4 experience
Proficiency in Microsoft Excel
Fluent English/Professional working proficiency
Hard-working and eager to learn
Experience in VC - Advantage

Requirements:
6+ years of experience in security research / digital forensics with knowledge in fields of OS internals and reverse engineering and/or malware detection and analysis.
Software development experience in C, C++, Python, JavaScript, Go, Rust and/or other programming languages.
Excellent problem-solving abilities, attention to detail, and a passion for delivering exceptional user experiences and interacting with customers.

Requirements:
3+ years experience doing QA in a cybersecurity focused role.
Solid understanding of QA methodologies, testing types, and best practices.
Familiarity with mobile operating systems (iOS, Android) and common associated tools such as ADB.
Familiarity with CI/CD pipelines.
Detail-oriented with strong analytical and problem-solving skills.
Excellent communication and collaboration, comfortable working in a fast-paced environment.
Ability to learn quickly, adapt to new frameworks, and handle multiple tasks simultaneously.
Working knowledge of Python and JavaScript.
Comfortable working from the Unix/Linux command line.

Requirements:
3+ years of experience in security research / digital forensics with knowledge in fields of OS internals and reverse engineering and/or malware detection and analysis.
Software development experience in C, C++, Python, JavaScript, Go, Rust and/or other programming languages.
Excellent problem-solving abilities, attention to detail, and a passion for delivering exceptional user experiences and interacting with customers.

Requirements:
Really comfortable in a very entrepreneurial environment.

Can think along with architectural and impactful decisions.

Willing to learn new languages when the product requires it.

Comfortable researching and tackling hard problems and algorithms (eg parsing with ASTs).

Willing to experiment (and also willing to perhaps throw away some code)

Fluent in English

Requirements:
Hands-on experience building with LLMs, agentic architectures, and AI workflows-such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, or equivalent.

Strong experience using coding agents such as **Claude Code, Codex, or Cursor** as part of your day-to-day engineering workflow.

A solid grasp of the mechanics of data science and applied AI: evaluation design, experimental rigor, noisy metrics, statistical reasoning, feedback loops, and evidence-based decision-making.

The judgment to distinguish an impressive demo from a system that reliably works in production.

Strong software engineering skills and an experiment-driven mindset: form a hypothesis, build, measure, learn, and iterate.

Comfort working independently in a fast-moving environment with high ownership and little unnecessary process.

Clear communication and good product instincts.

Requirements:
Required Managerial Skills:
Product Lifecycle Management:
Proven experience in managing the end-to-end product lifecycle, from ideation and discovery to launch and post-launch optimization.
4 years of experience in enterprise software companies
Experience as a PM in Cyber/Compliance/IT products companies - advantage
Backlog Prioritization:
Proficiency in maintaining a prioritized product backlog, balancing customer needs, technical debt, and business objectives.
Vendor and Resource Management:
Proven experience in managing external service providers, including contract negotiation, performance oversight, and relationship management.
Performance Leadership:
Expertise in setting clear KPIs, providing constructive feedback, and mentoring engineering leads to drive team productivity and professional growth.
Market & Competitive Analysis:
Ability to conduct market research and competitive analysis to inform product strategy and differentiation.
Required Technical Skills:
Software Architecture & Frameworks:
Deep background in enterprise architecture utilizing C# / .NET (.NET Framework 4.8 and .NET Core/.NET 7+), REST APIs, and gRPC microservices communication.
Experience with modern web front-end applications
Security & Enterprise Infrastructure:
Strong knowledge of Windows Server administration, Active Directory (AD), Group Policy Objects (GPO), and Linux environments.
Solid understanding of cybersecurity hardening guidelines (e.g., CIS Benchmarks, NIST, PCI DSS, HIPAA).
Familiarity with enterprise, air-gapped, or highly restricted on-premises deployment environments.
Required Soft Skills:
Executive & Remote Leadership:
Proven ability to lead, mentor, and govern remote or third-party/offshore engineering organizations.
Strong strategic planning capability with the ability to balance technical debt reduction against new business feature delivery.
Communication & Stakeholder Management:
Fluent in English (both written and spoken).
Exceptional capacity to articulate complex technical decisions to C-level stakeholders, external developers, and enterprise clients.
Problem-Solving & Analytical Thinking:
Strong analytical skills with a proactive approach to issue resolution, system reliability, and process improvement.
Stakeholder Communication:
Expertise in presenting product roadmaps and status updates to diverse stakeholders, ensuring transparency and alignment across the organization.
Advantage:
Background working for an enterprise cybersecurity software vendor, system integrator, or B2B SaaS company.