{"id":1133313,"url":"https://alion.io/job/sage-care-inc-product-manager-agent-intelligence","title":"Product Manager, Agent Intelligence","company":{"id":7617,"name":"Sage Care","domain":"sagecare.com","url":"https://alion.io/company/sage-care-inc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":127,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Product","role_family":"Product","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Human-in-the-Loop","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-04T17:01:01Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-30T05:42:23Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":54},"description":"About Sage Care\nSage Care is a fast-growing, early-stage healthcare startup transforming care navigation with AI. Our platform helps patients find the right care, enables providers to focus on the people who need them most, and improves access, quality, and economic outcomes at scale.\nFounded by leaders from Apple, Uber, and Carbon Health, Sage Care is backed by top-tier investors including General Catalyst and Chelsea Clinton. We work with health systems across the U.S. and have expanded internationally to the MENA region, where we are partnering with healthcare organizations to deploy our AI-powered care navigation platform.\nAbout the Role\nWe’re hiring a Product Manager for Agent Intelligence to own the systems that measure, understand, and improve agent performance.\nThis is a high-ownership role at the intersection of product, data, evaluation, and AI quality. You will define the roadmap for the intelligence layer that turns agent interactions into structured insights, reliable evaluations, and product improvements.\nYou’ll partner closely with engineering, design, operations, customer teams, and other product leads to define quality standards, identify failure patterns, and close the loop between real-world conversations and better agent behavior.\nThis role is ideal for a product manager who is excited to build 0-to-1 systems, work with large-scale conversational data, and create the foundation for agents that become more accurate, reliable, and effective over time.\nResponsibilities\nDefine Agent Quality\nCreate evaluation rubrics for agent calls and conversations, including correctness, completeness, workflow adherence, customer experience, and outcome quality.\n\nEstablish scoring standards that work across workflows, customers, and use cases.\n\nDefine what “good” looks like for both individual interactions and overall agent performance.\n\nBuild Evaluation Systems\nOwn the systems and processes used to measure agent performance.\n\nDevelop human-in-the-loop review workflows, automated evaluation pipelines, and scenario-based testing.\n\nHelp Sage Care and its customers understand where agents are performing well, where they are failing, and why.\n\nTurn Conversations into Insights\nBuild ways to analyze, cluster, and explore large volumes of conversational data.\n\nIdentify recurring issues, edge cases, workflow gaps, and opportunities for improvement.\n\nTranslate raw interaction data into clear product insights and prioritization inputs.\n\nClose the Feedback Loop\nConvert failures into test scenarios, product requirements, training examples, and improvement opportunities.\n\nPartner with product, engineering, and operations teams to make sure insights lead to action.\n\nTrack whether product changes improve agent performance, reliability, and customer outcomes.\n\nAdvance Learning Systems\nWork on retrieval, ranking, personalization, and feedback systems that make agents more effective.\n\nHelp build the foundations for agents that learn from usage, customer feedback, and operational review.\n\nIdentify opportunities to use automation and AI to improve evaluation, quality monitoring, and product development workflows.\n\nQualifications\nRequired\nExperience as a Product Manager, ideally working on technical, data-intensive, AI, automation, or platform products.\n\nStrong analytical skills and comfort working with data, metrics, and ambiguous problem spaces.\n\nAbility to define quality standards, measurement frameworks, evaluation processes, or operational workflows.\n\nExperience working closely with engineering and cross-functional teams.\n\nStrong written and verbal communication skills.\n\nAbility to turn messy, unstructured information into clear product direction.\n\nHigh ownership mindset and ability to drive both strategy and execution.\n\nEven Better\nExperience with AI products, conversational interfaces, LLMs, machine learning workflows, or agent systems.\n\nExperience with evaluation frameworks, experimentation, quality operations, or human-in-the-loop systems.\n\nFamiliarity with retrieval, ranking, personalization, feedback loops, or data labeling workflows.\n\nExperience working with large-scale conversational, support, call, or customer interaction data.\n\nExperience in healthcare, senior care, care operations, or regulated environments.\n\nExperience building 0-to-1 products or internal platforms in a fast-moving startup environment.\n\nWhat Success Looks Like\nAgent quality is clearly defined, measurable, and trusted across teams.\n\nFailures are identified quickly, consistently, and at scale.\n\nFeedback from real conversations is converted into test cases, product improvements, and learning loops.\n\nProduct and engineering teams can see whether changes improve agent performance.\n\nSage Care agents become more accurate, reliable, and effective over time.\n\nWhy This Role Matters\nAgent Intelligence is a core part of Sage Care’s product advantage. As our agents handle more complex conversations, the ability to measure performance, detect failures, and improve continuously becomes essential to delivering safe, reliable, and high-quality care navigation.\nThis role is responsible for building the system that helps Sage Care understand and improve every agent interaction.\nHow We Work\nAt Sage Care, our values shape how we build, collaborate, and serve.\nDo Good Through Serving People: We serve users, teammates, and communities with integrity, compassion, kindness, and optimism.\n\nInnovate with Safety, Evidence, and Transparency: We move quickly while prioritizing trust, safety, ethical decision-making, and evidence-based approaches.\n\nLead with Curiosity and Kindness: We ask questions before making assumptions and approach discovery, debate, and problem-solving with humility and care.\n\nWe, Not Me: We believe the best work happens through collaboration, mutual respect, and constructive feedback.\n\nEfficiency and AI in All We 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