
Pinterest · Toronto
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will...
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for
memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love,
and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s
unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re
looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll
explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know,
but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 535 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build
personalized experiences to help Pinners create a life they love. With just over 3,500 global employees, our teams are small,
mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute
large-scale recommendation systems in ways you won’t find anywhere else.
The Content Shopping Mining ML team builds machine learning systems that understand shopping-related content across the web,
turning unstructured merchant pages into high-quality structured product data like price, title, availability, and images. This
helps improve product experiences on Pinterest, including content quality, distribution, recommendations, and search; for example,
see the team’s KDD 2025 paper, Cross-Domain Web Information Extraction https://arxiv.org/pdf/2508.01096.
as reducing low-quality content and improving search relevance.
improvement.
natural language processing, personalization, reinforcement learning, or graph representation learning.
engineering workflow acceleration.
This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for
the positions.
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best
qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color,
ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions),
sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or
mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other
consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of
criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job
application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is
true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation
may disqualify me from employment consideration or result in termination if discovered after hire.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. ABOUT THE ROLE We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution — requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer’s Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection — including scenarios where an agent may have been compromised or infiltrated. Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors — Account Takeover (ATO), resource draining, and fraudulent account creation — as well as their evolving equivalents in multi-agent and autonomous system environments. KEY RESPONSIBILITIES * Product Strategy & Roadmap: Define and champion a clear product strategy and roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders. * Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization. * Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences. * Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery. * Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings. * Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption. * Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars). * Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer. Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption. * AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation. REQUIRED QUALIFICATIONS * AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime. * Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection. * Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments. * Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field. * General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2). * Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization. * Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle. * Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned. * Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs. * Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role. * Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization. #LIHybrid #P-1164.1 Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can. The annual base salary range for this position for candidates located in Canada is between: $146,000—$218,000 CAD The Okta Experience * Supporting Your Well-Being * Driving Social Impact * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
REQ ID - FEQ427R319 Location: Toronto, ON We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region. The impact you will have: * You work with multiple clients as the main technical voice for Databricks. * You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy * You implement the technical strategy in the account, with a close understanding of the strategy. * You build a movement of technical champions within the account. * You align technical strategies around Databricks solutions. * You work with your sales team and technical peers to drive business outcomes for our clients What we look for: * Proficiency at establishing virtual teams, and leading them to ultimate success within the account. * Experience working very large (> $1m ARR), global accounts. * Form relationships with executives and influencers. * Present a convincing point-of-view to important decision-makers that leads them down a path of success. * Technical in big data, data science and cloud (Azure & AWS). * An ability in data-driven business transformation, and driving change with data. * Production programming experience in Python, R, Scala or Java * Nice to have: Databricks, Snowflake, AWS or Azure Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $139,700—$192,050 CAD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Location: Toronto, ON REQ ID - FEQ327R207 We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region. The impact you will have: * You work with multiple clients as the main technical voice for Databricks. * You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy * You implement the technical strategy in the account, in close understanding of the strategy. * You build a movement of technical champions within the account. * You align technical strategies around Databricks solutions. * You work with your sales team and technical peers to drive business outcomes for our clients What we look for: * Proficiency at establishing virtual teams, and leading them to ultimate success within the account. * Experience working very large (> $1m ARR), global accounts. * Form relationships with executives and influencers. * Present a convincing point-of-view to important decision-makers that leads them down a path of success. * Technical in big data, data science and cloud (Azure & AWS). * An ability in data-driven business transformation, and driving change with data. * Production programming experience in Python, R, Scala or Java * Nice to have: Databricks, Snowflake, AWS or Azure Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $139,700—$192,050 CAD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.