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Senior Product Manager

  • Mississauga, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

About the Client:

Our client is a Data Security Platform startup that protects sensitive data before it ever reaches an app, a pipeline, or an AI model.

Their product is used by large enterprises across Finance, Insurance, Telco, and Healthcare to reduce risk, simplify compliance, and make exposed data unusable.

They're bootstrapped and have crossed the $15M ARR mark this year. The mission now is to enable data security in a world where Agentic AI tools are embedded within enterprise systems and have more access to private data than ever before.

The Opportunity:

You will own the roadmap for Agentic Data Security and Posture Management, which is the main focus for the company in 2027.

You will make AI-driven discovery and classification the core of the product: ML- and LLM-based classifiers, embedding similarity, and context-aware sensitivity detection that find sensitive data wherever it lives

You will define what success looks like for AI features: classification accuracy and coverage, false-positive cost, adoption and activation targets, and the leading indicators that show a capability is landing before revenue confirms it.

The Skills/Requirement Needed to Succeed:

  • You currently own a Data Security Product, and have experience building and launching agentic features for it.
  • You have extensive experience in the data security domain - DSPM, DLP, CASB, cloud security, data governance, or an adjacent data/infrastructure domain.
  • You have experience defining agentic AI products - tool use, orchestration, guardrails, human-in-the-loop gating, and prompt-injection hardening.
  • You are able to commute to an office in Mississauga 1 - 2 days/week.

Martyn Bassett Associates:

Martyn Bassett Associates is a team of recruiters solving the ambitious goals of startups and scale-ups by recruiting world-class sales, marketing, and product management talent who deliver growth and scale. We’ve helped over 1500 candidates land their next big opportunity at companies like Shopify, Extreme Networks, Wattpad, Loopio, Readdle, ClearCo, Workleap, Invicti, Resolve Pay, The Herjavec Group, GE Energy, GE Health, Enable, RBC Ventures, Unibuddy, Cognota, Thalmic Labs (now Google Glass), Eloqua (now Oracle Marketing Cloud) to name a few.

More about this job

Responsibilities

Own the roadmap for Agentic Data Security and Posture Management, making AI-driven discovery and classification central to the product. Define success measures for AI features, including classification accuracy and coverage, false-positive costs, adoption and activation targets, and leading indicators of product impact.

Requirements

The role requires current ownership of a data security product and experience building and launching agentic features, along with extensive experience in data security or an adjacent data or infrastructure domain. Candidates should have experience defining agentic AI products, including tool use, orchestration, guardrails, human-in-the-loop gating, and prompt-injection hardening, and be able to commute to the Mississauga office 1–2 days per week.

Skills

  • Data Security Product Management
  • Agentic AI Product Development
  • Data Security Posture Management
  • Data Loss Prevention
  • Cloud Access Security Broker
  • Cloud Security
  • Data Governance
  • Machine Learning
  • Large Language Models
  • Data Discovery and Classification
  • Embedding Similarity
  • AI Feature Metrics
  • AI Orchestration
  • Guardrails
  • Human-in-the-Loop Gating
  • Prompt-Injection Hardening

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Management & Leadership
  • Security & Safety
  • Software
  • Data & Analytics

Keywords

  • Data Security Platform
  • Agentic Data Security
  • Data Security Posture Management
  • DSPM
  • Data Loss Prevention
  • DLP
  • Cloud Access Security Broker
  • CASB
  • Cloud Security
  • Data Governance
  • Agentic AI
  • Machine Learning
  • Large Language Models
  • AI-Driven Discovery
  • Data Classification
  • Embedding Similarity
  • AI Orchestration
  • Guardrails
  • Human-in-the-Loop
  • Prompt-Injection Hardening
  • Classification Accuracy
  • Classification Coverage
  • False-Positive Cost
  • Adoption Targets
  • Activation Targets
  • Enterprise Security
  • Finance
  • Insurance
  • Telecommunications

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