{"id":888267,"url":"https://alion.io/job/recruitis-technical-product-manager-machine-learning-platforms","title":"Technical Product Manager, Machine Learning Platforms","company":{"id":688309,"name":"Recruitis","domain":"recruitis.io","url":"https://alion.io/company/recruitis","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":52,"open_postings":10,"ghost_share":0.8,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bangkok, Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":44000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4457},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-08-27T03:01:22Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-11-03T16:29:54Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":68},"description":"About our Client\nOur client is a technology-led organisation operating large-scale software platforms and complex production environments. The company is continuing to strengthen the internal systems and tools that allow engineering teams to deploy, manage, and scale services efficiently.\nAbout the Role\nWe are looking for a Technical Product Manager to own and evolve the ML and LLM Ops platforms used across the organisation. You will shape how teams build, evaluate, deploy, monitor, and scale machine learning models and LLM-powered applications, working at the intersection of platform engineering, applied AI teams, and the emerging generation of AI coding assistants and agents.\nThis is a deeply technical product role. The goal is not only to support ML and LLM applications in production, but to reduce the friction of building them, so that development becomes faster, safer, and increasingly automated. It suits someone from an ML, data, or platform engineering background who has moved into product and enjoys owning technical infrastructure used by engineers.\nResponsibilities\nOwn the product vision and roadmap for the ML and LLM Ops platforms, from concept and specification through to launch and post-launch analysis.\nShape how teams productionise ML models and LLM applications, covering the full model lifecycle: training, evaluation, versioning, deployment, monitoring, retraining, and observability.\nGather requirements from ML engineers, data scientists, backend engineers, and AI application teams, and translate them into clear priorities and technical product plans.\nIdentify platform gaps, scalability constraints, and optimisation opportunities, and turn them into roadmap items.\nBalance experimentation flexibility against governance, safety, reliability, and cost efficiency.\nPartner with engineering on architecture, API design, infrastructure trade-offs, and technical debt.\nDrive the evolution of the platform towards AI-native development, so that tooling, APIs, and abstractions support meaningful contributions from AI coding assistants and autonomous agents, with the right guardrails in place.\nDefine and track metrics covering deployment velocity, platform adoption, model performance, reliability, and cost.\nDrive adoption through documentation, enablement, and internal advocacy.\nQualifications\n5+ years of experience in ML engineering, data science, platform engineering, or a comparable technical domain.\n2+ years of technical product or programme management experience in a high-scale, fast-moving environment.\nHands-on exposure to ML Ops or LLM Ops concepts, including model lifecycle, evaluation, monitoring, versioning, and deployment pipelines.\nFamiliarity with common LLM application patterns such as RAG, fine-tuning, prompt management, and evaluation frameworks.\nComfortable discussing system design, APIs, infrastructure trade-offs, and scalability directly with senior engineers.\nStrong analytical mindset, with the ability to reason about performance and cost trade-offs.\nAble to influence without authority across engineering, data science, and business stakeholders.\nComfortable operating in ambiguity and in a rapidly changing technology landscape.","description_format":"text","description_chars":3204,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Human Resources"],"lifecycle":[{"event":"open","at":"2026-09-14T05:11:28Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long 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