
501 - 1000 employees
Founded 2014
âď¸ SaaS
đ Compliance
đ¤ Artificial Intelligence
SaaS ⢠Compliance ⢠Artificial Intelligence
Optro is an enterprise software company (formerly AuditBoard) that provides an AI-powered Governance, Risk, and Compliance (GRC) platform for large organizations. Its cloud-based system connects audits, controls, risk assessments, third-party risk, and compliance frameworks into a unified operational model that continuously monitors evidence, surfaces control failures, and automates assurance workflows. Optro targets enterprises and regulated organizations seeking to scale risk programs, improve visibility and compliance, and leverage domain-trained AI to move from reactive oversight to proactive risk management.
đĽ 12 hours ago
đ¨đŚ Canada â Remote
đľ CA$128k - CA$176k / year
â° Full Time
đ Senior
đĄ Marketing
đť Ghost score 0%
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501 - 1000 employees
Founded 2014
âď¸ SaaS
đ Compliance
đ¤ Artificial Intelligence
SaaS ⢠Compliance ⢠Artificial Intelligence
Optro is an enterprise software company (formerly AuditBoard) that provides an AI-powered Governance, Risk, and Compliance (GRC) platform for large organizations. Its cloud-based system connects audits, controls, risk assessments, third-party risk, and compliance frameworks into a unified operational model that continuously monitors evidence, surfaces control failures, and automates assurance workflows. Optro targets enterprises and regulated organizations seeking to scale risk programs, improve visibility and compliance, and leverage domain-trained AI to move from reactive oversight to proactive risk management.
⢠Own end-to-end marketing performance measurement across campaigns, channels, and programs from first touch through closed-won revenue ⢠Build, maintain, and improve attribution and funnel models used for budget allocation ⢠Communicate model assumptions and limitations to stakeholders ⢠Apply machine learning and LLM-based approaches to propensity scoring, pipeline forecasting, channel mix optimization, and anomaly detection ⢠Build AI-assisted insight generation for automated "what changed and why" analysis ⢠Evaluate, pilot, and scale AI capabilities in marketing and analytics tooling ⢠Make build-versus-buy recommendations based on measured impact ⢠Set standards for responsible AI use, including output validation, assumption documentation, drift monitoring, and data-handling partnership with Security and Legal ⢠Partner with Demand Generation and Events to set targets, forecast pipeline contribution, and track performance ⢠Design and maintain dashboards and self-serve reporting ⢠Own the marketing data stack, including Salesforce, marketing automation, and downstream warehouse tables ⢠Partner with Marketing Operations and Data Engineering on data quality and instrumentation ⢠Deliver executive-level analysis and readouts for QBRs, board materials, and annual planning ⢠Develop budget scenarios and ROI cases for new investments ⢠Raise analytical standards through mentorship, documentation, and clear presentation practices ⢠Report into Marketing Operations and support the full marketing organization
⢠7+ years of experience in marketing analytics, marketing operations, or a closely related analytics function ⢠At least 2 years leading analysts, cross-functional projects, or both ⢠B2B SaaS experience strongly preferred ⢠Deep, hands-on SQL skills, including independently pulling, joining, and validating data ⢠Demonstrated ownership of B2B funnel and attribution measurement ⢠Experience building or substantially rebuilding a multi-touch attribution or pipeline model ⢠Hands-on experience applying machine learning or AI to a business problem, including propensity or lead scoring, forecasting, segmentation, or automated insight generation ⢠Clear judgment on when a model is appropriate ⢠Exposure to ABM platforms such as 6sense or Demandbase, or to media mix modeling and incrementality testing at scale ⢠Fluency with Salesforce, a marketing automation platform such as Marketo or HubSpot, and a BI tool such as Tableau, Looker, or Power BI ⢠Strong executive communication skills ⢠Partnership with marketing ops, demand gen, sales ops, and finance ⢠Experience with dbt, Python or R, and a cloud data warehouse such as Snowflake, BigQuery, or Redshift is nice to have ⢠Experience supporting an enterprise, multi-product go-to-market motion is nice to have ⢠Experience building with LLM APIs or AI-assisted analytics tooling is nice to have ⢠Background checks are required ⢠Must be legally authorized to work in the country where the job is based
⢠Competitive compensation & bonus program ⢠$200/mo (USD) LYBL benefit for anything that enhances your life ⢠Comprehensive employee health and life insurance coverage ⢠Statutory vacation + Flexible vacation ⢠Time off for your birthday & volunteering ⢠Employee resource groups ⢠Opportunities for team and company-wide get-togethers ⢠Career opportunity at a fast-growing SaaS company
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