About Us:With $295.0 billion of gross assets under management, as of March 31, 2025, British Columbia Investment Management Corporation (BCI) is the provider of investment management services for British Columbia’s public sector and one of the largest asset managers in Canada. BCI seeks investment opportunities around the world and across a range of asset classes that convert savings into productive capital. Our investment returns play a significant role in helping our institutional clients build a financially secure future for their beneficiaries.Headquartered in Victoria, British Columbia, and with teams spanning Vancouver, New York, London, and Mumbai.BCI integrates environmental, social, and governance (ESG) factors into all investment decisions to meet clients' risk and return requirements. Our people shape employee‑focused initiatives, creating a strong culture. To learn more about our culture and values, visit ourBCI Values in Actionpage.POSTING CLOSE DATE: February 26, 2026AI Technical Product ManagerBCI is hiring anAI Technical Product Managerto architect solutions for our $35 billion global Private Equity portfolio. You will have institutional scale combined with a 0-to-1 mindset, backed by the resources to build transformative systems and generate and measure tangible ROI based on your contributions. You will develop LLM‑powered document intelligence, design real‑time analytics dashboards that surface portfolio insights, and create automated workflows that eliminate manual investment operations, with a focus on value‑add and business insights that guide business decisions. You will collaborate with teams across Victoria, London, and New York, combining hands‑on AI/ML engineering with deep operational expertise to deliver high‑impact solutions.The OpportunityReporting to the Manager, Private Equity Operations, the Technical Product Manager is responsible for designing, building, and deploying AI solutions that transform how BCI's Private Equity department operates. This role sits at the intersection of finance operations and applied AI engineering, combining hands‑on technical development with operational engagement. The Technical Product Manager builds production‑grade systems for document intelligence, data extraction, portfolio analytics, and workflow automation using large language models, modern data platforms, and cloud architectures.This role collaborates cross‑functionally with investment teams, value creation, Technology, and Corporate Data & Operations to identify, execute, maintain, and scale the highest‑impact automation opportunities across the PE investment lifecycle.Who You Will Work WithThe Private Equity department manages a diverse international portfolio of approximately $35 billion in global private equity investments comprising of fund, direct and co‑investments. Portfolio growth over the coming years will be driven by an increased emphasis on direct investment, strong partner relationships and actively creating value from the portfolio to deliver superior returns for our clients.Our department currently consists of ~75 professionals spanning offices located in Victoria, London and New York City, organized into six sub‑teams: Direct Investments, Fund Investments, Venture & Growth, Value Creation, Reporting & Analytics, and Operations. Our Direct Investments team can be further broken down into six sector‑focused teams that cover the Business Services, Consumer, Financial Services, Healthcare, Industrials, and Technology, Media & Communications sectors.BCI's Private Equity Operations serves as the operational backbone for the investment lifecycle—from deal execution through portfolio monitoring to exit. As the portfolio scales, Operations is transforming into a strategic capability through AI‑enabled automation, advanced analytics, and portfolio intelligence systems.What You BringBachelor's degree in Computer Science, Engineering, Data Science, or related technical field3‑5 years of software development experience with hands‑on AI/ML implementationProven track record building and deploying AI solutions in production environments,



particularly with LLMs and other relevant modelsStrong experience with Python and SQL for data pipeline development and application logicExperience building and maintaining full‑stack web applications with modern frameworks (Next.Js, TypeScript, Node.Js), Python backend services and SQL Database managementExperience designing and implementing APIs, data integrations, and workflow automationDemonstrated ability to translate complex business requirements into technical solutions with an eye for detailExcellent stakeholder management and communication skills including the ability to explain technical concepts to non‑technical audiencesKnowledge of investment management, private equity operations, or financial services is strongly preferredDemonstrated ability to own the product engineering lifecycle requirements gathering through iterative development and user feedback integrationComfort working in ambiguous, fast‑paced environments with competing prioritiesTechnical RequirementsAI/ML: Experience with large language models (Claude/Anthropic API, ChatGPT/OpenAI API) for document analysis and Anthropic Claude, Open AI, Perplexity API’s information extraction; document intelligence including OCR and PDF processing; prompt engineering for LLM workflows; ML operations andperformance monitoringData & Engineering Platforms: Databricks for data engineering and ETL pipelines; Azure Cloud infrastructure including Functions, API Management and Azure App Services; Terraform for CI/CD pipelines, authentication protocols (SSO, OAuth2); RESTful API design and integration patterns; Git and version control.Analytics & Visualization: Power BI for dashboard development and data modeling; Power Apps and Power Automate for rapid prototyping; full‑stack web application development with modern frameworks (Next.Js, TypeScript, Node.Js) and Python backend services, Excel and VBA for financial modeling (asset, not requirement).What You Will DoBuilds and deploys end‑to‑end AI solutions that transform PE operational workflows (75%):Documents Intelligence and Data Extraction:Develops LLM powered pipelines that extract structured data from GP reports, capital call notices, financial statements, and investment memorandaImplements validation logic, exception handling, and APIs that feed extracted data to downstream systems including SimCorp, Chronograph, and internal databasesPortfolio Analytics & Intelligence:Designs and deploys real‑time Power BI dashboards or web application visualizations that surface portfolio performance, capital deployment, and operational metrics for PE leadershipBuilds automated exception flagging and alerting for key financial parameters such as NAV movements, covenant breaches, and valuation anomaliesCreates predictive models for capital call pacing, distribution forecasting, and portfolio trendsLLM Powered Applications:Leverages Claude (Anthropic) and other foundation models to build intelligent systems for GP communication analysis, investment memo summarization, and natural language querying and other LLM‑powered products for investment teams.Develops agentic AI workflows that automate complex multi‑step processes including quarterly reporting preparation and due diligence document reviewCreates intuitive front‑end interfaces that allows teams to interact with AI systems through natural languageIntegration & Architecture:Serves as technical liaison between PE Operations, Technology, and Corporate Data & Operations to ensure seamless integration of AI solutions with enterprise systemsDesigns scalable, secure,



cloud‑native architectures that support BCI's growing PE portfolioInnovation & Continuous Improvement:Stays current with emerging AI technologies and evaluates their applicability to PE operationsConducts proofs‑of‑concept for recent automation opportunities identified through operational engagementDocuments technical solutions, creates knowledge artifacts, and provides training to the PE team on AI‑powered toolsEngages directly with Private Equity operational workflows to build deep business understanding (25%):Operational Context and Requirements Gathering:Participates in PE operational workflows including accounting notices, and quarterly reporting and valuations to build deep understanding of business requirements and pain pointsIdentifies high‑impact automation opportunities through hands‑on experienceCollaborates with the operations team to translate business needs into technical specificationsProcess Improvement & Testing:Executes operational workflows with a continuous improvement mindset, documenting inefficiencies, data quality issues, and automation candidatesServes as the primary user acceptance tester for new automation solutions, ensuring they meet business requirements and operate correctly in production contextsProvides technical consultation on complex transactions or reporting scenariosDevelops make or buy recommendations and ROI measurement for automation initiativesCross‑Functional Collaboration:Partners with investment teams to understand due diligence workflows, deal execution requirements, and portfolio monitoring needsSupports value creation initiatives by deploying automation frameworks to portfolio companiesBuilds relationships with Technology and Corporate Data & Operations to align on enterprise data strategy, security standards, and platform roadmapsWhere You Will WorkThis role will be based in our office in downtown Victoria, BC. Relocation support is available if needed.Salary RangeThe annualized salary range for this role is CAD $103,000 - $124,000BCI offers a competitive total rewards package, including a performance‑based incentive plan, comprehensive health & dental benefits, a defined benefit pension plan, and paid time off. We pay our people competitively in the markets in which we operate and with consideration for internal equity and job structure. The base salary will consider factors such as the individual's skill set, experience, and internal equity. We aim for actual pay to be around the market median for expected performance and the upper quartile for excellent performance. Actual salaries may vary based on experience and expertise.Next StepsTo apply online, please submit your resume promptly. Applications will be actively reviewed, and those selected for an interview will be contacted. We welcome all qualified candidates who are legally authorized to work in the country where this job is located. If you do not have authorization, or if your work permit has restrictions or is due to expire within 12 months, please inform our recruitment team if shortlisted.At BCI, we value diversity and foster an inclusive culture where all employees can thrive. We are performance and client‑focused, valuing integrity, and we want to know you if you share these values. We recognize that some skills can be learned on the job and encourage everyone to apply. If you require accommodations for the recruitment process, such as alternate formats of materials or accessible meeting rooms, please contact us [email protected] .To learn more about working with BCI, including our comprehensive benefits packages, our commitment to equity, diversity and inclusion and the recruitment process visit ourBCI Careers Page .BCI does not accept unsolicited resumes or candidate submissions from third‑party recruitment agencies, executive search firms, or staffing suppliers unless they have an existing contractual agreement with our organization. Our approved vendor relationships are established for particular recruitment requirements and do not extend to general job postings on our website or other platforms. Any candidate information or resumes submitted by suppliers not approved by BCI will be deemed unsolicited and will not be reviewed or considered. BCI will not be liable for any fees, commissions, or charges related to unsolicited candidate submissions or recruitment services.#J-18808-Ljbffr

📌 Ai Technical Product Manager - C$103,000 - C$124,000 A Year (Toronto)
🏢 British Columbia Investment Management
📍 Toronto