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Requirements:
Bachelor's degree in Industrial Engineering & Management (Information Systems track), Computer Science, or a related field - or equivalent significant technological experience
Up to ~2 years of experience in a technology / IT / information systems role
Hands-on experience with leading GenAI tools (ChatGPT, Claude, Copilot, etc.)
Familiarity with Prompt Engineering principles
Strong ability to learn new technologies independently and quickly
Good communication skills and the ability to explain technical topics simply
Priority ERP must
Nice to Have:
Understanding of enterprise systems and organizational business processes, with basic orientation toward IT infrastructure and information security
Experience with CRM, BI, or other cross-functional business applications
Experience with Make / Zapier or other Low-Code/No-Code automation platforms
Relevant IT certifications (MCSA, CCNA, Microsoft, Cisco, or equivalent)
Experience delivering training or knowledge-sharing sessions to colleagues
Good level of English.

Requirements:
4+ years of experience in Forward Deployed Engineering, Technical Product Management, Solutions Engineering, or other highly technical customer-facing roles.
Proven track record of working directly with clients, external partners, or internal business stakeholders to understand operational needs and deliver solutions.
Hands-on coding experience with a strong ability to write clean, functional code.
Solid understanding of modern web application architecture, APIs, integrations, and relational data structures.
Strong product sense and process design skills with the ability to turn ambiguous business needs into functional app designs.
Proven experience building software using modern AI-driven tools, Vibe Coding practices, or low-code/no-code ecosystems.
High autonomy, maturity, and a proactive mindset to lead projects end-to-end from scratch without hand-holding.

Requirements:
Proven experience as a Motion Designer with a strong design-first approach and deep expertise in typography, color theory, and composition, demonstrated through impactful and complex projects.
Proficiency in Figma and Adobe applications (like Photoshop, Illustrator, and After Effects), familiarity with 3D workflows, and an openness to AI-enhanced design tools
A sharp eye for aesthetics-able to craft beautiful, effective, and brand-consistent motion work
Strong conceptual thinker-capable of ideating, sketching, and designing motion-based storytelling
Excellent communication skills in English, both written and spoken
Proactive and independent-takes initiative, adapts quickly, and leads motion design projects from start to finish.

Requirements:
Ideally, were looking for:
University degree in computer science, electronic engineering, or a telecommunications-related field
3+ years of experience in a similar role, including direct customer contact
Prior experience supporting software (SaaS)
Solid technical troubleshooting and problem-solving skills, able to work through issues independently
2+ years of hands-on API experience
2+ years of hands-on SQL experience
Working knowledge of back-office tools such as Jira & Sale
These would also be nice:
Experience with video streaming technologies (ABR, HSS, HLS, DASH, MPEG2-TS, CDNs)
Experience with AWS Cloud solutions or equivalent
Scripting
Networking and security.

Requirements:
3-4 years of experience as a System Administrator in enterprise, cloud‑based, or multi‑site environments.
Strong expertise with AWS services (IAM, VPC, routing, ingress/egress, EC2 lifecycle, S3, Route 53, and security controls).
Solid identity and security knowledge: Okta, Entra ID, Active Directory, Zscaler, RADIUS/NPS, and multi‑tenant Microsoft 365 (including Teams + SBC/Direct Routing).
Proven experience handling Backups/DR/BCP, DNS/domain management, SSL/TLS, and certificate lifecycle management.
Strong troubleshooting skills across identity, networking, cloud platforms, Linux/Windows/macOS, security controls, and endpoints.
These would also be nice:
Experience integrating or automating security workflows (SIEM/EDR/SOAR, identity governance) using APIs and scripting.
Ability to produce high‑quality documentation: runbooks, knowledge articles, process documentation, architecture diagrams.
Familiarity with Terraform/IaC or other automation frameworks for cloud or infrastructure deployment.

Requirements:
Ideally, were looking for:
4+ years of hands-on experience managing B2B SaaS performance marketing programs across Google Ads, LinkedIn Campaign Manager, Meta Ads, and Microsoft Ads.
Strong understanding of demand generation, pipeline creation, enterprise marketing, and customer acquisition strategies.
Experience working with HubSpot, Salesforce, and Google Analytics 4 (GA4) to measure, optimize, and report on marketing performance.
Proven ability to manage significant media budgets and optimize campaigns for business outcomes, not just lead volume.
Strong analytical, project management, and communication skills with a data-driven approach to decision-making.
These would also be nice:
Experience building and scaling account-based marketing (ABM) programs and leveraging intent data.
Experience running international campaigns across North America, EMEA, and APAC markets.
Familiarity with AI-powered marketing, automation, and productivity tools that improve campaign performance and efficiency.

Requirements:
4+ years building production backend/platform systems - distributed services, APIs, async processing, and systems that serve multiple consumers. Python primary; experience with high-throughput, low-latency services.
Deep hands-on experience with LLMs in production - not just using them, but building the infrastructure around them: orchestration, tool calling, retrieval pipelines, context management, prompt chaining, and multi-agent coordination. Proficiency with LangChain, LangGraph, or equivalent orchestration frameworks.
Experience building platform primitives - registries, gateways, evaluation frameworks, tracing systems, or similar shared infrastructure that other teams build on top of. You understand contracts, versioning, and what it means to ship a platform rather than a feature.
Demonstrated ability to make build vs. adopt decisions - you have integrated open-source tooling into production systems, understood its boundaries, and built the proprietary layer where needed.
Experience with RAG systems at depth - indexing strategies, retrieval evaluation, chunking, re-ranking, hybrid search, and the failure modes (context pollution, retrieval misses, conflicting sources). Familiarity with vector databases (Pinecone, Weaviate, Qdrant, or similar) and embedding models.
Familiarity with real-time system constraints - you understand how latency budgets, deadlines, and streaming shape architecture differently than batch systems.
Strong systems design skills - you can design a registry, a gateway, a memory service, or an evaluation harness that serves multiple consumers with different needs (internal teams and external customers, real-time and offline paths).
Nice to have:
Experience with evaluation of LLM systems - designing metrics, building test harnesses, measuring behavioral consistency, detecting regressions. Familiarity with DeepEval, Ragas, or similar frameworks.
Experience with multi-tenant platforms - tenant isolation, scoped configuration, and the engineering discipline required when one customers data/behavior must never leak to another.
Background in speech/multimodal AI pipelines - ASR, TTS, avatar rendering, or video generation pipelines. Understanding how these compose with a reasoning layer.
Experience with observability and tracing at the platform level - structured per-decision traces, not just application logs. Familiarity with Langfuse, Opik, OpenTelemetry, or similar.
Familiarity with agentic AI frameworks and patterns - CrewAI, AutoGen, Semantic Kernel, MCP protocol, and the failure modes unique to multi-step AI systems (planning loops, tool selection, delegation, parallel execution).
Experience with guardrails and safety for AI systems - input filtering, output validation, grounding checks, and the latency trade-offs of validation in real-time streaming.

Requirements:
Ideally, were looking for:
At least 3 years of Product Management experience in a B2B SaaS environment with a focus on Product-Led Growth (PLG).
Strong analytical mindset with hands-on experience using data to drive product decisions
Ability to design and execute experiments with clear hypotheses and measurable outcomes
Technical fluency to work closely with engineering on integrations, tracking, and scalable systems
Strong cross-functional collaboration and communication skills across product, marketing, and business teams
These would also be nice:
Experience with subscription, billing, or payments systems
Familiarity with PLG and analytics tools (e.g., Amplitude, Mixpanel, Segment)
Background in media, video, or complex platform products.

Requirements:
4+ years of experience in procurement.
Experience working in global high‑tech companies.
Strong negotiation and analytical capabilities.
Excellent verbal and written communication skills in English.
Familiarity with procurement or ERP systems (e.g. SAP, NetSuite, Intacct, ZIP) - advantage.
Naturally curious and proactive, with a strong interest in exploring new technologies and staying ahead of emerging trends.
These would also be nice:
Experience working with AI‑based tools for sourcing, automation, or vendor evaluation.
Background in procurement of software, hardware, SaaS, or technology services.
Experience working with cross‑functional approval workflows.
Experience working with travel platforms.