{"id":168899,"url":"https://alion.io/job/satsure-ai-product-lead","title":"AI Product Lead","company":{"id":59505,"name":"SatSure","domain":"satsure.co","url":"https://alion.io/company/satsure","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"C","score":58,"open_postings":27,"ghost_share":0.704,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Product","role_family":"Product","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Multimodal AI","optional":false},{"name":"Computer Vision","optional":true},{"name":"Embeddings","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-06-29T11:50:01Z","employer_posted_date":"2026-06-29","last_verified_at":"2026-11-14T22:10:06Z","board_verified":true,"closed_at":null,"days_open":138,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":137},"description":"About SatSure\nSatSure builds decision intelligence systems using artificial intelligence, large-scale data platforms, and complex real-world datasets.\nWe are working on Dhaarini, an internal AI initiative focused on creating reusable capabilities from multimodal and temporal data.\nDhaarini is not a single model or a standalone application. It is intended to support capabilities such as reusable representations, multimodal retrieval, temporal understanding and AI services that can be used across SatSure’s platform and products.\nRole\nWe are looking for an AI Product Lead to help structure and drive Dhaarini’s AI capability development.\nYou will work directly with the CTO and collaborate with AI scientists, ML engineers, platform teams and product managers.\nThe role is suited to someone who understands AI development well enough to frame the right problems, define clear success criteria and help move useful experiments toward reusable product capabilities.\nYou are not expected to be the deepest researcher or system architect. You will, however, need to be comfortable working with technical teams, asking difficult questions, and bringing product clarity to an area where the answers may not always be obvious.\nThis is an individual-contributor role with cross-functional responsibility.\nResponsibilities:\nShape the AI capability roadmap\nWork with the CTO and AI leaders to define and prioritise Dhaarini’s AI capabilities.\nTranslate broad technical ideas into clear problem statements and capability requirements.\nBalance longer-term capability development with near-term validation.\nSupport build, adapt or use-existing decisions based on evidence and feasibility.\nStructure experimentation and evaluation\nConvert ideas into clear hypotheses, experiments and decision points.\nWork with technical teams to define baselines, evaluation criteria and success measures.\nEnsure experiments answer meaningful technical or product questions.\nCapture learnings and support decisions on whether work should progress, change direction or stop.\nSupport capability productisation\nIdentify when a capability is ready to move beyond experimentation.\nDefine its intended usage and product requirements.\nWork with platform and engineering teams to move validated capabilities toward integration.\nReduce the number of useful experiments that remain limited to notebooks, demos or isolated implementations.\nDrive cross-functional execution\nKeep AI, platform and product teams aligned on shared priorities.\nIdentify dependencies, risks and unresolved decisions early.\nRun reviews focused on evidence, learnings and next steps.\nEscalate important trade-offs with clear context and recommendations.\nWhat success looks like\nWithin the first 6-12 months, you should have:\nEstablished a clear Dhaarini AI capability roadmap.\nIntroduced a consistent way to frame and evaluate experiments.\nHelped validate two or more important technical hypotheses.\nMoved at least one reusable capability toward platform integration.\nCreated a clear adoption path for at least one capability.\nReduced repetitive or disconnected experimentation across teams.\nExperience: \n5-7 years of experience across AI products, ML products, data products, technical product management, or applied AI.\nMust have:\nExperience working directly with AI/ML, data science or engineering teams.\nAt least one example of taking an AI or data capability from problem definition toward production or operational use.\nPractical understanding of the AI lifecycle, including data, experimentation, evaluation, deployment, and monitoring.\nAbility to turn ambiguous technical ideas into clear priorities, requirements, and decisions.\nStrong product judgement and cross-functional execution skills.\nAbility to understand technical discussions and challenge assumptions constructively.\nStrong written and verbal communication.\nHigh ownership and comfort working in an evolving, zero-to-one environment.\nWe are looking for someone who has worked directly with the AI product lifecycle, not only integrated third-party AI services into conventional software products.\nGood to have:\nExperience with computer vision, multimodal AI, embeddings or retrieval systems.\nExperience with MLOps, AI platforms or large-scale data systems.\nExperience working with multimodal or time-series data.\nExperience in a startup, deep-tech or early-stage product environment.\nBenefits:\nMedical Health Cover for you and your family, including unlimited online doctor consultations\nAccess to mental health experts for you and your family\nDedicated allowances for learning and skill development\nComprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement 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