{"id":2987509,"url":"https://alion.io/job/farcana-product-manager","title":"Product Manager","company":{"id":4430105,"name":"Farcana","domain":"farcana.com","url":"https://alion.io/company/farcana","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"PeopleForce","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Arab Emirates"],"countries":["AE"],"hiring_countries":["AE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":96000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4091},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Kubernetes","optional":false},{"name":"OpenAI","optional":false},{"name":"Quantization","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"vLLM","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-21T08:50:01Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T01:41:09Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products, including FAR Labs and Gamed. Each explores a different space, but all share the same approach: move fast, stay curious, and build things people actually use.\nWe operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin. AI is embedded across everything we build, from infrastructure to product decisions.\n02. ABOUT THE ROLE\nFAR Labs is building FAR AI, an AI inference platform for developers, AI-native companies, and enterprises running production workloads.\nThe product covers the full path from model access and deployment to inference performance, APIs, usage visibility, billing, monitoring, and infrastructure control. Our customers care about latency, batched throughput, reliability, cost, security, privacy, and the ability to understand and control their AI workloads.\nWe are looking for a Senior Product Manager who has already worked on an AI inference platform, AI infrastructure product, GPU cloud, ML platform, developer API, or a closely related technical B2B product.\nYou will work directly with the CEO, Head of Product, engineering leads, and commercial team. You will turn customer and business problems into clear product decisions, requirements, metrics, and releases that Engineering can execute.\nThis is a senior individual contributor role. You will not simply collect requirements or manage tickets. You will own major product areas end to end, challenge assumptions, work directly with customers, and remain accountable for whether the product solves a real problem.\nYour previous title may have been Senior, Staff, or Principal Product Manager, Technical Product Manager, Product Lead, Product Engineer, Head of Product. We care more about the product you owned than the title you held.\n03. WHO YOU ARE\nInference industry experience: You have worked on a product where customers deploy, serve, route, monitor, optimize, or pay for production AI inference workloads.\nTechnically credible: You can work fluently with engineers on model serving, GPU infrastructure, APIs, batching, caching, quantization, routing, capacity, observability, and reliability.\nCustomer-driven: You can speak with AI engineers, platform teams, CTOs, and enterprise buyers, understand their workloads, and separate real demand from feature requests.\nStrong product operator: You can take an unclear problem and turn it into scope, requirements, metrics, acceptance criteria, dependencies, and a practical release plan.\nCommercially aware: You understand that infrastructure performance only matters when it creates customer value and sustainable unit economics.\nEvidence-driven: You use customer interviews, workload data, benchmarks, competitive research, and product metrics to make decisions.\nClear communicator: You can explain complex technical products in language that Engineering, Business, Support, and customers can all understand.\nBuilder: You are comfortable establishing product practices from scratch and improving them as the company grows.\n04. RESPONSIBILITIES\nProduct ownership: Own major parts of FAR AI from discovery through launch, adoption, measurement, and iteration.\nCustomer discovery: Work directly with AI-native companies and enterprise teams to understand their models, workloads, deployment requirements, security needs, performance expectations, and reasons for switching providers.\nProduct requirements: Turn customer and business needs into clear PRDs, product boundaries, acceptance criteria, success metrics, and release decisions.\nInference platform strategy: Help define how FAR AI develops across model APIs, managed deployments, developer interfaces, routing, observability, usage, billing, and infrastructure control.\nDeveloper experience: Shape the API, documentation, onboarding, account experience, usage visibility, error handling, and operational tools customers need to reach production.\nPerformance and economics: Partner with Engineering and Product Analytics to define and interpret metrics such as TTFT, inter-token latency, batched throughput, goodput, utilization, reliability, cost per workload, breakeven point, and gross margin.\nBenchmarking: Define fair benchmark methodology and compare FAR AI with market alternatives under equivalent conditions. Turn technical results into clear product and commercial decisions.\nPrioritization: Decide what must ship now, what requires customer validation, and what should remain out of scope. Protect the team from unnecessary complexity.\nRoadmap and delivery: Work with Engineering to break approved requirements into releases, expose dependencies and risks, and keep product outcomes connected to execution.\nCross-functional alignment: Keep Product, Engineering, Commercial, QA, Support, and leadership aligned on what is being built, why it matters, and what evidence will confirm success.\nProduct metrics: Define and track activation, adoption, workload growth, retention, reliability, customer value, and business performance.\nMarket intelligence: Follow inference providers, AI infrastructure platforms, developer tools, model-serving technologies, and enterprise AI requirements. Turn relevant changes into product decisions.\n05. REQUIREMENTS\n6+ years of experience in product management or technical product leadership.\n3+ years working on AI/ML infrastructure, inference platforms, GPU cloud, cloud infrastructure, developer platforms, APIs, or another technically complex B2B product.\nDirect experience shipping a product used for production AI workloads.\nStrong understanding of how model inference works from an API request through model serving and GPU execution.\nWorking knowledge of latency, throughput, batching, caching, quantization, concurrency, utilization, scaling, routing, monitoring, and failure handling.\nExperience working with technical customers such as ML engineers, AI engineers, platform engineers, developers, and CTOs.\nExperience translating customer workloads and technical constraints into clear product requirements.\nProven ownership of products from discovery and definition through release and adoption.\nStrong understanding of product metrics, infrastructure economics, pricing inputs, and cost-performance trade-offs.\nExperience working closely with Engineering, Commercial, QA, Support, Finance, and leadership.\nStrong written communication and the ability to produce clear, decision-ready product documents.\nAbility to operate effectively in a fast-moving startup environment with incomplete information.\nEnglish level: Advanced (C1).\nExperience with vLLM, SGLang, TensorRT-LLM, Kubernetes, GPU infrastructure, OpenAI-compatible APIs, model gateways, or enterprise AI controls is a strong advantage.Experience limited to consumer AI applications, prompt interfaces, or chatbot features without infrastructure or developer-platform ownership is unlikely to be sufficient for this role.\n06. WHAT YOU WILL LEARN\nInference economics: How model architecture, GPU selection, runtime configuration, traffic shape, utilization, and pricing combine into a viable inference product.\nAI infrastructure: How production inference systems manage models, requests, capacity, failures, monitoring, and distributed infrastructure.\nTechnical product leadership: How to align infrastructure engineering, customer needs, product experience, and commercial constraints around one product direction.\nEnterprise AI: How security, privacy, governance, workload visibility, procurement, and operational evidence shape enterprise adoption.\nCategory building: How to build and position a product in a fast-moving market where customer expectations and technical possibilities change quickly.\n07. WHAT WE OFFER\nReal ownership and direct impact on the direction and execution of FAR AI.\nDirect collaboration with the CEO, Head of Product, engineering leads, and senior leadership.\nThe opportunity to shape product strategy, requirements, metrics, customer experience, and ways of working.\nHands-on exposure to technically challenging AI inference, infrastructure, and distributed systems problems.\nDirect contact with technical customers and enterprise decision-makers.\nFast execution, low bureaucracy, and a highly collaborative, idea-driven team.\nCompetitive salary with performance-based incentives.\n24 days annual leave, plus public holidays.\nHealth insurance.\nModern office in Yas Creative Hub.\nContinuous learning through real-world problem solving.\nA diverse, open-minded team where ideas are genuinely heard.","description_format":"text","description_chars":8648,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":6,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Annual leave","Continuous learning","Health insurance"],"hiring_locations":[{"name":"United Arab Emirates","iso":"AE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Web3 & dApps"],"lifecycle":[{"event":"open","at":"2026-10-21T08:50:01Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/farcana-product-manager","json_url":"https://alion.io/job/farcana-product-manager.json","meta":{"generated_at":"2026-10-23T03:40:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6021,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4430105},"rest":"https://alion.io/mcp/rest/get_company?id=4430105"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffarcana-product-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffarcana-product-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffarcana-product-manager"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/farcana-product-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffarcana-product-manager"}]}