{"id":2811502,"url":"https://alion.io/job/hcltech-technical-project-manager-11","title":"Technical Project Manager","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":172000,"period":"year","method":"role_country_seniority_unknown","sample_n":163},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Function Calling","optional":false},{"name":"Java","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Tool Use","optional":false},{"name":"JavaScript","optional":true},{"name":"Red Teaming","optional":true}],"status":"live","first_seen_at":"2026-10-18T09:41:23Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-20T03:24:54Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Summary\nMust-Have Skills\nTechnical program management: Proven experience leading highly technical cybersecurity, research, software engineering, AI, or emerging-technology programs from research hypothesis through prototype, proof of concept, testing, benchmarking, recommendation, and operationalization.\nProgram execution: Strong capability in roadmaps, prioritization, milestones, dependencies, deliverables, success criteria, risk management, resource planning, delivery tracking, metrics, and cross-functional issue resolution.\nCybersecurity expertise: Strong knowledge of application security, AI security, vulnerability research, threat modelling, secure development, network security, infrastructure security, and security architecture.\nAI and agentic systems: Strong understanding of LLMs, AI agents, tool calling, orchestration frameworks, APIs, agentic security workflows, AI-enabled security automation, and security harnesses.\nTechnical engineering fluency: Ability to work effectively with researchers and engineers across software, models, APIs, security tools, cloud platforms, containers, automation frameworks, and security test environments.\nProgramming knowledge: Strong technical understanding of modern software development, including Python and working familiarity with languages such as Java, Node.js, Go, and C/C++.\nResearch-to-delivery translation: Demonstrated ability to convert research hypotheses and emerging-technology opportunities into structured workstreams, experiments, prototypes, measurable deliverables, and enterprise recommendations.\nProduct and technology evaluation: Experience coordinating hands-on technical evaluations, proofs of concept, benchmarking, vendor assessments, architecture reviews, demonstrations, and technical due diligence.\nEvaluation frameworks: Ability to define requirements, benchmarks, and decision criteria covering security effectiveness, technical capability, scalability, architecture, integration complexity, operational applicability, and enterprise applicability.\nRisk and recommendation skills: Ability to identify product limitations, security concerns, technical risks, integration requirements, and operational-readiness gaps, then produce evidence-based recommendations.\nStakeholder management: Strong collaboration across cybersecurity engineering, security research, application security, architecture, infrastructure, cloud, vendors, startups, and leadership stakeholders.\nCommunication and documentation: Strong technical writing, documentation, presentation, and communication skills, including the ability to explain complex research findings to engineering teams, security leadership, and innovation or investment stakeholders.\nKnowledge transfer: Ability to ensure research findings, source code, prototypes, evaluation artifacts, decisions, risks, and technical knowledge are documented and transferred appropriately.\nEducation: Master’s degree in Cybersecurity, Computer Science, Artificial Intelligence, Computer Engineering, or a related technical field.\nKey Responsibilities\nTechnical program management: Proven experience leading highly technical cybersecurity, research, software engineering, AI, or emerging-technology programs from research hypothesis through prototype, proof of concept, testing, benchmarking, recommendation, and operationalization.\nProgram execution: Strong capability in roadmaps, prioritization, milestones, dependencies, deliverables, success criteria, risk management, resource planning, delivery tracking, metrics, and cross-functional issue resolution.\nCybersecurity expertise: Strong knowledge of application security, AI security, vulnerability research, threat modelling, secure development, network security, infrastructure security, and security architecture.\nAI and agentic systems: Strong understanding of LLMs, AI agents, tool calling, orchestration frameworks, APIs, agentic security workflows, AI-enabled security automation, and security harnesses.\nTechnical engineering fluency: Ability to work effectively with researchers and engineers across software, models, APIs, security tools, cloud platforms, containers, automation frameworks, and security test environments.\nProgramming knowledge: Strong technical understanding of modern software development, including Python and working familiarity with languages such as Java, Node.js, Go, and C/C++.\nResearch-to-delivery translation: Demonstrated ability to convert research hypotheses and emerging-technology opportunities into structured workstreams, experiments, prototypes, measurable deliverables, and enterprise recommendations.\nProduct and technology evaluation: Experience coordinating hands-on technical evaluations, proofs of concept, benchmarking, vendor assessments, architecture reviews, demonstrations, and technical due diligence.\nEvaluation frameworks: Ability to define requirements, benchmarks, and decision criteria covering security effectiveness, technical capability, scalability, architecture, integration complexity, operational applicability, and enterprise applicability.\nRisk and recommendation skills: Ability to identify product limitations, security concerns, technical risks, integration requirements, and operational-readiness gaps, then produce evidence-based recommendations.\nStakeholder management: Strong collaboration across cybersecurity engineering, security research, application security, architecture, infrastructure, cloud, vendors, startups, and leadership stakeholders.\nCommunication and documentation: Strong technical writing, documentation, presentation, and communication skills, including the ability to explain complex research findings to engineering teams, security leadership, and innovation or investment stakeholders.\nKnowledge transfer: Ability to ensure research findings, source code, prototypes, evaluation artifacts, decisions, risks, and technical knowledge are documented and transferred appropriately.\nEducation: Master’s degree in Cybersecurity, Computer Science, Artificial Intelligence, Computer Engineering, or a related technical field.\nSkill Requirements\nSecurity Technical Program Manager Must-Have and Nice-to-Have Skills Must-Have Skills Technical program management: Proven experience leading highly technical cybersecurity, research, software engineering, AI, or emerging-technology programs from research hypothesis through prototype, proof of concept, testing, benchmarking, recommendation, and operationalization. Program execution: Strong capability in roadmaps, prioritization, milestones, dependencies, deliverables, success criteria, risk management, resource planning, delivery tracking, metrics, and cross-functional issue resolution. Cybersecurity expertise: Strong knowledge of application security, AI security, vulnerability research, threat modelling, secure development, network security, infrastructure security, and security architecture. AI and agentic systems: Strong understanding of LLMs, AI agents, tool calling, orchestration frameworks, APIs, agentic security workflows, AI-enabled security automation, and security harnesses. Technical engineering fluency: Ability to work effectively with researchers and engineers across software, models, APIs, security tools, cloud platforms, containers, automation frameworks, and security test environments. Programming knowledge: Strong technical understanding of modern software development, including Python and working familiarity with languages such as Java, Node.js, Go, and C/C++. Research-to-delivery translation: Demonstrated ability to convert research hypotheses and emerging-technology opportunities into structured workstreams, experiments, prototypes, measurable deliverables, and enterprise recommendations. Product and technology evaluation: Experience coordinating hands-on technical evaluations, proofs of concept, benchmarking, vendor assessments, architecture reviews, demonstrations, and technical due diligence. Evaluation frameworks: Ability to define requirements, benchmarks, and decision criteria covering security effectiveness, technical capability, scalability, architecture, integration complexity, operational applicability, and enterprise applicability. Risk and recommendation skills: Ability to identify product limitations, security concerns, technical risks, integration requirements, and operational-readiness gaps, then produce evidence-based recommendations. Stakeholder management: Strong collaboration across cybersecurity engineering, security research, application security, architecture, infrastructure, cloud, vendors, startups, and leadership stakeholders. Communication and documentation: Strong technical writing, documentation, presentation, and communication skills, including the ability to explain complex research findings to engineering teams, security leadership, and innovation or investment stakeholders. Knowledge transfer: Ability to ensure research findings, source code, prototypes, evaluation artifacts, decisions, risks, and technical knowledge are documented and transferred appropriately. Education: Master’s degree in Cybersecurity, Computer Science, Artificial Intelligence, Computer Engineering, or a related technical field. Nice-to-Have Skills Advanced education: PhD in Cybersecurity, Computer Science, Artificial Intelligence, Computer Engineering, or a related technical field. Emerging cybersecurity domains: Exposure to quantum or post-quantum cryptography, blockchain security, and other frontier cybersecurity technologies. Advanced AI security: Experience with AI red teaming, autonomous penetration testing, agent security, AI-native security tooling, or advanced AI frontier models applied to cybersecurity. Cybersecurity innovation: Published research papers, patents, conference presentations, open-source security projects, vulnerability research, or other demonstrated technical innovation. Startup and investment ecosystem: Experience with cybersecurity startups, founding or early-stage products, accelerators, venture capital, corporate venture teams, or technical pitching to investment stakehold\nOther Requirements\nNice-to-Have Skills\nAdvanced education: PhD in Cybersecurity, Computer Science, Artificial Intelligence, Computer Engineering, or a related technical field.\nEmerging cybersecurity domains: Exposure to quantum or post-quantum cryptography, blockchain security, and other frontier cybersecurity technologies.\nAdvanced AI security: Experience with AI red teaming, autonomous penetration testing, agent security, AI-native security tooling, or advanced AI frontier models applied to cybersecurity.\nCybersecurity innovation: Published research papers, patents, conference presentations, open-source security projects, vulnerability research, or other demonstrated technical innovation.\nStartup and investment ecosystem: Experience with cybersecurity startups, founding or early-stage products, accelerators, venture capital, corporate venture teams, or technical pitching to investment stakeholders.\nOperationalization: Experience transitioning successful cybersecurity research prototypes into production-ready or enterprise capabilities.\n Certifications: CISSP, OSCP, CSSLP, CISM, or equivalent cybersecurity certification.","description_format":"text","description_chars":11251,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Security","IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-18T09:41:23Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":1,"expected_fill_days":18,"reasons":["conf:2","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-technical-project-manager-11","json_url":"https://alion.io/job/hcltech-technical-project-manager-11.json","meta":{"generated_at":"2026-10-20T08:17:58Z","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":8889,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":225},"rest":"https://alion.io/mcp/rest/get_company?id=225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhcltech-technical-project-manager-11"},{"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%2Fhcltech-technical-project-manager-11"},{"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%2Fhcltech-technical-project-manager-11"},{"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/hcltech-technical-project-manager-11\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhcltech-technical-project-manager-11"}]}