{"id":1360498,"url":"https://alion.io/job/pearson-software-engineering-manager-agentops","title":"Software Engineering Manager , AgentOps","company":{"id":34029,"name":"Pearson","domain":"pearson.com","url":"https://alion.io/company/pearson","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":94,"open_postings":20,"ghost_share":0,"stale_share":0.05,"repost_share":0,"time_to_fill_p50_days":83,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":72000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AgentOps","optional":false},{"name":"AI Agents","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"CrewAI","optional":false},{"name":"Cursor","optional":false},{"name":"GCP","optional":false},{"name":"Google ADK","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-08-11T12:48:54Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-09-30T19:37:04Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Drive the future of Agentic AI at Pearson as part of the 'AgentOps' team. Inspire innovation. Empower learning.\nWhy Join AgentOps\nWork on cutting-edge agentic AI systems at enterprise scale\n\nHelp build a symbiotic workforce of humans and AI agents\n\nSolve real business problems across enterprise\n\nBe part of shaping next-gen AI engineering practices\n\nWhy This Role Matters\nAre you an Manager who leads from the front - still hands-on in the code, but at your best when you grow the people around you ? Do you thrive at the intersection of platform engineering, orchestration, and operations ?\nJoin our AgentOps team and lead the group that builds and operates Pearson's internal agentic AI platform that runs agent crews across business units - with the reliability, observability, and governance that production demands.\nThis is a genuine player-coach role. You will set technical direction by - designing systems, reviewing code, and shaping how we build - while you hire, coach, and deliver through a high-performing team. Without this role, agentic use cases stall between a promising prototype and a dependable production service, and the engineers building them lack the direction and support to do their best work.\nIn this key position, you turn Pearson's AgentOps platform strategy into practical business outcomes and through this, help people realize the lives they imagine through learning.\nWhat You'll Do\nLead & Grow the Team\nHire, coach, and develop a team of AgentOps Forward Deployed Engineers, owning performance, growth, and career progression.\n\nFoster an inclusive, high-performing culture of continuous improvement, strong engineering craft, and psychological safety.\n\nSet clear goals, run a healthy delivery cadence, and remove blockers so the team ships with quality and speed.\n\nBuild & Ship the Platform (hands-on)\nStay technically hands-on - lead design reviews and set the patterns and standards the team builds to.\n\nTake high-impact agentic use cases from prototype to production, with reusable connectors, shared services, and clean crew hand-offs.\n\nEstablish standardized practices for agent development, orchestration, and LLMOps across the team.\n\nOperate & Observe\nInstrument crews end to end with observability - traces, cost, tokens, latency, and error rates - so teams can see and trust what agents do.\n\nOwn the reliability, performance, and cost targets that keep agentic workloads dependable, scalable, and operationally ready in production.\n\nGovern & De-risk Agentic Work\nEstablish guardrails, constraints, and risk controls for agent-driven work - from acceptance criteria to safe, governed enterprise integration.\n\nOwn the identity, authentication, and access model for agents and connectors - separating credentials, RBAC, and audit.\n\nEnsure agent crews meet regulatory, security, and data-privacy requirements as they scale across business units.\n\nCollaborate & Influence\nManage intake, prioritization, and cross-team dependencies, translating business needs into clear acceptance criteria for your team.\n\nPartner with product, research, cloud, data science, and engineering leaders across OCTO.\n\nAct as a trusted advisor to senior leadership on agentic AI capabilities, trade-offs, and operational risk.\n\nDrive Innovation\nStay ahead of emerging trends in agent orchestration, multi-agent frameworks, and LLMOps, and evaluate them pragmatically.\n\nPilot new tools and patterns that raise the platform's capability, reliability, and developer experience.\n\nWho You Are\nA player-coach who leads by doing - technically credible enough to earn your engineers' trust, and genuinely energized by growing them.\n\nA pragmatic operator who turns complex agentic systems into reliable, production-ready services.\n\nA people leader who builds inclusive, high-performing teams and gives clear, kind, direct feedback.\n\nA collaborator who influences across functions and thrives in ambiguity.\n\nWhat You Bring\nSelected on demonstrated capability, not years.\nHas led, coached, or mentored engineers - as a manager, tech lead, or team lead - and is ready to own hiring, performance, and growth for a team.\n\nBuilds LLM-powered systems, AI agents, or workflow automation in production, and stays hands-on with the code.\n\nStrong Python and backend/platform engineering on cloud-native, distributed systems.\n\nHave worked on agent orchestration or multi-agent frameworks (e.g. CrewAI, LangGraph, ADK) and LLM observability tooling.\n\nExpertise in one of the public cloud platforms (AWS/Azure/GCP)\n\nUnderstands the agent lifecycle end to end - orchestration, identity/auth, observability, guardrails, and operating AI reliably in production.\n\nSets standards and designs with clear trade-off awareness across quality, latency, cost, resilience, and maintainability.\n\nExcellent communication and stakeholder-engagement skills, from hands-on engineers to senior leadership.\n\nBachelor's or Master's in Computer Science, AI/ML, or a related field, or equivalent practical experience.\n\nEven better\nExperience productionizing Agentic Applications\n\nVersed with MCP, A2A ,context engineering, and HITL agent execution.\n\nAI observability and evaluation frameworks (Langfuse / LangSmith / Arize Phoenix).\n\nFluent in AI-pair-programming (Cursor, Claude Code) as a delivery mode, and able to raise a team's floor with it.\n\nWhat You'll Gain\nThe chance to lead a team building enterprise agentic AI used across Pearson.\n\nRoom to stay technical while you grow as a people leader.\n\nOpportunities to shape strategy and influence outcomes across OCTO.\n\nAccess to cutting-edge tools, platforms, and thought leadership.","description_format":"text","description_chars":5609,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-27T23:45:59Z"}],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.786,"p_room":0.72,"age_days":49,"expected_fill_days":83,"reasons":["conf:5","win:mid","crowd:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pearson-software-engineering-manager-agentops","json_url":"https://alion.io/job/pearson-software-engineering-manager-agentops.json","meta":{"generated_at":"2026-10-01T03:21:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2805,"day_limit":5000,"remaining_today":2195,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}