What we’re looking for

As a key member of the Strategic Finance team, you will report directly to the Finance Director and serve as the architect of our financial future. We are at a transformative juncture as we migrate from Anaplan to Pigment, and we are hiring this role to lead that transition from the ground up. This is a rare, high-impact opportunity to own the roadmap for our core financial models, define how SurveyMonkey scales its planning capabilities, and serve as the primary technical lead and Pigment subject matter expert for a tool at the center of our global decision-making.

What you’ll be working on

• Lead the end-to-end migration and implementation of SurveyMonkey’s financial models from Anaplan to Pigment, ensuring data integrity and optimized architectural design.
• Architect, build, and maintain complex core models within Pigment, including consolidated P&L, workforce planning, and operational drivers to support company-wide forecasting.
• Serve as the primary System Administrator for the planning platform, managing data integrations, troubleshooting formula logic, and overseeing user permissions and governance.
• Partner with stakeholders across Finance, Accounting, and Business Systems to translate evolving business requirements into scalable technical solutions and automated reporting dashboards.
• Continuous process improvement of the planning cycle by identifying manual bottlenecks and implementing automated workflows to increase the speed and accuracy of the monthly close and budget cycles.

We’d love to hear from people with

• 5+ years of professional experience in FP&A, Finance Operations, or Strategic Finance, with at least 2 years specifically focused on financial systems administration.
• Proven expertise in architecting and maintaining complex, multi-dimensional EPM models (relevant platform certification or equivalent implementation experience strongly preferred).
• Direct experience leading a successful EPM migration (e.g., Anaplan to Pigment, Anaplan to Hyperion, etc.) with a deep understanding of common data architecture challenges during platform transitions.
• Strong technical command of data integration tools and the ability to manage data flows between ERP systems (like NetSuite) and planning environments.
• A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

The base pay provided for this position ranges from CAD $108,800/year - $147,200/year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution. While this role is remote, it may require in-person participation. You will be encouraged to attend company events throughout the year. These events will take place at a designated SurveyMonkey office or location.

#LI-remote

What we’re looking for

As a key member of the Strategic Finance team, you will report directly to the Finance Director and serve as the architect of our financial future. We are at a transformative juncture as we migrate from Anaplan to Pigment, and we are hiring this role to lead that transition from the ground up. This is a rare, high-impact opportunity to own the roadmap for our core financial models, define how SurveyMonkey scales its planning capabilities, and serve as the primary technical lead and Pigment subject matter expert for a tool at the center of our global decision-making.

What you’ll be working on

• Lead the end-to-end migration and implementation of SurveyMonkey’s financial models from Anaplan to Pigment, ensuring data integrity and optimized architectural design.
• Architect, build, and maintain complex core models within Pigment, including consolidated P&L, workforce planning, and operational drivers to support company-wide forecasting.
• Serve as the primary System Administrator for the planning platform, managing data integrations, troubleshooting formula logic, and overseeing user permissions and governance.
• Partner with stakeholders across Finance, Accounting, and Business Systems to translate evolving business requirements into scalable technical solutions and automated reporting dashboards.
• Continuous process improvement of the planning cycle by identifying manual bottlenecks and implementing automated workflows to increase the speed and accuracy of the monthly close and budget cycles.

We’d love to hear from people with

• 5+ years of professional experience in FP&A, Finance Operations, or Strategic Finance, with at least 2 years specifically focused on financial systems administration.
• Proven expertise in architecting and maintaining complex, multi-dimensional EPM models (relevant platform certification or equivalent implementation experience strongly preferred).
• Direct experience leading a successful EPM migration (e.g., Anaplan to Pigment, Anaplan to Hyperion, etc.) with a deep understanding of common data architecture challenges during platform transitions.
• Strong technical command of data integration tools and the ability to manage data flows between ERP systems (like NetSuite) and planning environments.
• A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

The base pay provided for this position ranges from CAD $108,800/year - $147,200/year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from our Ottawa office up to 1 day per week.

#LI-Hybrid

What we’re looking for

We are looking for a Finance Planning and Analysis (FP&A) Specialist to serve as a key strategic partner for our G&A functions. In this high-visibility role, you will support operational and financial planning, business analysis, and decision-making for senior leadership. You will have a platform to influence significant decisions and lead strategic projects that directly contribute to SurveyMonkey’s growth. This role is ideal for someone who thrives on solving complex problems and connecting financial activities to broader business success.

What you’ll be working on

• Drive Strategic Planning: Lead the annual budgeting and monthly forecasting cycles for G&A functions to ensure departmental resources and headcount align with company-wide financial targets.
• Architect Financial Models: Build sophisticated, scalable models to evaluate new business initiatives, cost-saving opportunities, and the ROI of long-term strategic investments.
• Deliver Executive Insights: Synthesize complex datasets into clear, concise presentations that translate financial metrics into strategic recommendations for the leadership team.
• Optimize Systems and Processes: Partner with cross-functional teams to automate reporting workflows and enhance the data integrity of our ERP and financial planning tools.
• Manage Collaborative Projects: Oversee end-to-end financial workstreams, ensuring all stakeholders are aligned on project milestones and fiscal objectives.

We’d love to hear from people with

• Professional Experience: 3+ years of experience in high-growth corporate finance, investment banking, or management consulting.
• Industry Knowledge: Prior experience working within the technology or SaaS sector, demonstrating an understanding of industry-specific financial drivers.
• Technical Proficiency: Advanced expertise in Excel (complex modeling and data manipulation) and experience navigating ERP or EPM systems (e.g., NetSuite, Workday Adaptive Planning).
• Analytical Rigor: A proven track record of managing large-scale data projects and maintaining high accuracy while meeting tight deadlines.
• Education: A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, this opportunity is hybrid and requires you to work from the SurveyMonkey office in Heredia 2 days per week.

Please apply using an English version of your resume/CV.

#LI - Hybrid

What we’re looking for

We are looking for a Finance Planning and Analysis (FP&A) Specialist to serve as a key strategic partner for our G&A functions. In this high-visibility role, you will support operational and financial planning, business analysis, and decision-making for senior leadership. You will have a platform to influence significant decisions and lead strategic projects that directly contribute to SurveyMonkey’s growth. This role is ideal for someone who thrives on solving complex problems and connecting financial activities to broader business success.

What you’ll be working on

• Drive Strategic Planning: Lead the annual budgeting and monthly forecasting cycles for G&A functions to ensure departmental resources and headcount align with company-wide financial targets.
• Architect Financial Models: Build sophisticated, scalable models to evaluate new business initiatives, cost-saving opportunities, and the ROI of long-term strategic investments.
• Deliver Executive Insights: Synthesize complex datasets into clear, concise presentations that translate financial metrics into strategic recommendations for the leadership team.
• Optimize Systems and Processes: Partner with cross-functional teams to automate reporting workflows and enhance the data integrity of our ERP and financial planning tools.
• Manage Collaborative Projects: Oversee end-to-end financial workstreams, ensuring all stakeholders are aligned on project milestones and fiscal objectives.

We’d love to hear from people with

• Professional Experience: 2+ years of experience in high-growth corporate finance, investment banking, or management consulting.
• Industry Knowledge: Prior experience working within the technology or SaaS sector, demonstrating an understanding of industry-specific financial drivers.
• Technical Proficiency: Advanced expertise in Excel (complex modeling and data manipulation) and experience navigating ERP or EPM systems (e.g., NetSuite, Workday Adaptive Planning).
• Analytical Rigor: A proven track record of managing large-scale data projects and maintaining high accuracy while meeting tight deadlines.
• Education: A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

The base pay provided for this position ranges from CAD $68,595.00 / year - $80,700.00 / year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

#LI-remote

What we’re looking for

We are looking for a Finance Planning and Analysis (FP&A) Specialist to serve as a key strategic partner for our G&A functions. In this high-visibility role, you will support operational and financial planning, business analysis, and decision-making for senior leadership. You will have a platform to influence significant decisions and lead strategic projects that directly contribute to SurveyMonkey’s growth. This role is ideal for someone who thrives on solving complex problems and connecting financial activities to broader business success.

What you’ll be working on

• Drive Strategic Planning: Lead the annual budgeting and monthly forecasting cycles for G&A functions to ensure departmental resources and headcount align with company-wide financial targets.
• Architect Financial Models: Build sophisticated, scalable models to evaluate new business initiatives, cost-saving opportunities, and the ROI of long-term strategic investments.
• Deliver Executive Insights: Synthesize complex datasets into clear, concise presentations that translate financial metrics into strategic recommendations for the leadership team.
• Optimize Systems and Processes: Partner with cross-functional teams to automate reporting workflows and enhance the data integrity of our ERP and financial planning tools.
• Manage Collaborative Projects: Oversee end-to-end financial workstreams, ensuring all stakeholders are aligned on project milestones and fiscal objectives.

We’d love to hear from people with

• Professional Experience: 2+ years of experience in high-growth corporate finance, investment banking, or management consulting.
• Industry Knowledge: Prior experience working within the technology or SaaS sector, demonstrating an understanding of industry-specific financial drivers.
• Technical Proficiency: Advanced expertise in Excel (complex modeling and data manipulation) and experience navigating ERP or EPM systems (e.g., NetSuite, Workday Adaptive Planning).
• Analytical Rigor: A proven track record of managing large-scale data projects and maintaining high accuracy while meeting tight deadlines.
• Education: A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

The base pay provided for this position ranges from CAD $68,595.00 / year - $80,700.00 / year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from our Ottawa office up to 1 day per week.

#LI-Hybrid

What we’re looking for

As a key member of the Strategic Finance team, you will report directly to the Finance Director and serve as the architect of our financial future. We are at a transformative juncture as we migrate from Anaplan to Pigment, and we are hiring this role to lead that transition from the ground up. This is a rare, high-impact opportunity to own the roadmap for our core financial models, define how SurveyMonkey scales its planning capabilities, and serve as the primary technical lead and Pigment subject matter expert for a tool at the center of our global decision-making.

What you’ll be working on

• Lead the end-to-end migration and implementation of SurveyMonkey’s financial models from Anaplan to Pigment, ensuring data integrity and optimized architectural design.
• Architect, build, and maintain complex core models within Pigment, including consolidated P&L, workforce planning, and operational drivers to support company-wide forecasting.
• Serve as the primary System Administrator for the planning platform, managing data integrations, troubleshooting formula logic, and overseeing user permissions and governance.
• Partner with stakeholders across Finance, Accounting, and Business Systems to translate evolving business requirements into scalable technical solutions and automated reporting dashboards.
• Continuous process improvement of the planning cycle by identifying manual bottlenecks and implementing automated workflows to increase the speed and accuracy of the monthly close and budget cycles.

We’d love to hear from people with

• 5+ years of professional experience in FP&A, Finance Operations, or Strategic Finance, with at least 2 years specifically focused on financial systems administration.
• Proven expertise in architecting and maintaining complex, multi-dimensional EPM models (relevant platform certification or equivalent implementation experience strongly preferred).
• Direct experience leading a successful EPM migration (e.g., Anaplan to Pigment, Anaplan to Hyperion, etc.) with a deep understanding of common data architecture challenges during platform transitions.
• Strong technical command of data integration tools and the ability to manage data flows between ERP systems (like NetSuite) and planning environments.
• A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

The base pay provided for this position ranges from $123,250/ year - $166,750/ year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses and commissions may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution. While this role is remote, it may require in-person participation. You will be encouraged to attend company events throughout the year. These events will take place at a designated SurveyMonkey office or location.

#LI-remote

What we’re looking for

The Machine Learning Platform team (MLP) is seeking a Senior Software Engineer II to design and implement the secure, highly scalable, and high-performance pipelines that govern the end-to-end lifecycle of ML models.

You will work at the intersection of Data Science and DevOps, building the "connective tissue" that empowers our product portfolio to leverage technologies like Generative AI, Natural Language Processing (NLP), and real-time classification. We are looking for a subject matter expert who will drive innovation and deliver results that meet the dynamic needs of a high-growth AI environment. You will report to the Senior Engineering Manager on the MLP Solutions team.

What you’ll be working on

• Build and maintain robust ML systems using Python (Pandas/NumPy, PyTorch/transformers) to support efficient ML operations.
• Design ML cloud infrastructure using AWS services, ensuring the platform is built for reuse, scalability, and high-volume throughput.
• Collaborate with application engineers to integrate, test, and monitor ML model services across SurveyMonkey’s microservices architecture.
• Act as a consultant to internal feature teams, educating and influencing decisions regarding ML tooling and infrastructure.
• Incorporate telemetry into the platform for complex failure mode analysis, ensuring real-time reliability for millions of daily survey responses.
• Serve as a technical leader and mentor, championing high standards in coding, documentation, and architectural best practices to foster the professional growth of junior engineers on the MLP team.

We’d love to hear from people with

• 8+ years of professional ML development experience with a proven track record of designing and implementing ML infrastructure in AWS.
• Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language Models (LLMs) and NLP.
• Expert-level Python skills and experience with high-scale data processing (PySpark, etc.).
• Comfortable with Unix/Linux systems and experienced in deploying end-to-end solutions for real-time applications (spam detection, personalization, ranking).
• Bachelor’s Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.

The base pay provided for this position ranges from CAD $126,400.00/ year - $158,000.00/ year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from our Ottawa office up to 1 day per week.

#LI-Hybrid

What we’re looking for

This is a highly visible, strategic, and impactful role, reporting the VP of Engineering for SurveyMonkey Core Engineering. As the Senior Director of AI, you will be a critical leader in defining the future of SurveyMonkey's products and services. You will not just manage the Machine Learning and Data Science teams, but help drive the fundamental shift in how our customers gather, analyze, and act on feedback. This requires both strong strategic thinking, and solid experience building models and deploying AI/ML systems end-to-end (from data to production). The successful candidate will make a material contribution to the company's success by providing thought leadership around how to leverage AI technology in the SurveyMonkey product in an intuitive and natural way.

What you’ll be working on

Strategic Leadership & Product Alignment

• Strategic Roadmapping: Define and execute the long-term data science strategy, ensuring alignment with SurveyMonkey’s overarching business objectives and product vision.
• Product-to-Data Science Translation: Act as the primary liaison between Product Management and the Data Science team, expertly mapping ambitious SurveyMonkey product requirements (e.g., automated thematic analysis, predictive modeling, intelligent survey generation) into clear, technically feasible data science projects.
• AI-First Transformation: Support the charge in migrating SurveyMonkey from a traditional SaaS product to an AI-first platform, embedding advanced data science and LLM capabilities deeply within the product experience.

Technical Expertise & Innovation

• LLM and NLP Integration: Drive the strategy for integrating and leveraging Large Language Models (LLMs) and advanced Natural Language Processing (NLP) techniques to enhance our text analytics, sentiment analysis, and generative features within the product.
• Familiarity with MLOps / LLMOps practices: Experience developing and deploying a Machine Learning Platform.  Experience with Agentic AI Architecture, deployment and execution. Familiarity with modern MLOps tools and platforms (e.g., AWS SageMaker, GCP Vertex AI, MLflow).
• Technical Direction: Set the technical standards for model development, deployment, monitoring, and maintenance. Ensure the team utilizes best-in-class data science models, tools, and platforms for scalable production systems.
• Ownership of model lifecycle: experimentation → deployment → monitoring → iteration
• Stay Current: Actively research, evaluate, and evangelize the latest developments in machine learning, deep learning, MLOps, and data science methodologies, ensuring the team's capabilities remain cutting-edge.

Team Management & Development

• Management and Motivation: Lead, mentor, and inspire a high-performing team of data scientists and machine learning engineers. Foster a culture of innovation, rigor, collaboration, and continuous learning.
• Recruitment and Growth: Recruit top-tier data science talent, manage performance, and define career progression paths to ensure the ongoing growth and retention of team members.

We’d love to hear from people with

• Experience: 10+ years of progressive experience in data science, including significant experience with AI/ML platforms, and at least 5 years in a Director level leadership role managing and scaling data science or machine learning teams in a commercial software environment.
• Experience building or leading AI/ML platforms: (feature stores, model serving, training pipelines) in a Cloud Environment like AWS
• Deep Technical Acumen: Extensive practical experience with and deep theoretical understanding of machine learning algorithms, statistical modeling, and experimental design (A/B testing).
• NLP and LLM Proficiency (Critical): Demonstrated experience in applying, fine-tuning, and integrating Large Language Models (LLMs) and advanced Natural Language Processing techniques into production systems, especially for tasks related to text classification, summarization, and generation.
• Product Thinking: Exceptional ability to translate ambiguous or high-level product needs into concrete, defensible data science problems and solutions.
• Communication: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders (e.g., Executives, Product Managers, Marketing).
• Education: Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.

The base pay provided for this position ranges from CAD $224,000/ year - $336,000/ year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution. While this role is remote, it may require in-person participation. You will be encouraged to attend company events throughout the year. These events will take place at a designated SurveyMonkey office or location.

#LI-remote

What we’re looking for

This is a highly visible, strategic, and impactful role, reporting the VP of Engineering for SurveyMonkey Core Engineering. As the Senior Director of AI, you will be a critical leader in defining the future of SurveyMonkey's products and services. You will not just manage the Machine Learning and Data Science teams, but help drive the fundamental shift in how our customers gather, analyze, and act on feedback. This requires both strong strategic thinking, and solid experience building models and deploying AI/ML systems end-to-end (from data to production). The successful candidate will make a material contribution to the company's success by providing thought leadership around how to leverage AI technology in the SurveyMonkey product in an intuitive and natural way.

What you’ll be working on

Strategic Leadership & Product Alignment

• Strategic Roadmapping: Define and execute the long-term data science strategy, ensuring alignment with SurveyMonkey’s overarching business objectives and product vision.
• Product-to-Data Science Translation: Act as the primary liaison between Product Management and the Data Science team, expertly mapping ambitious SurveyMonkey product requirements (e.g., automated thematic analysis, predictive modeling, intelligent survey generation) into clear, technically feasible data science projects.
• AI-First Transformation: Support the charge in migrating SurveyMonkey from a traditional SaaS product to an AI-first platform, embedding advanced data science and LLM capabilities deeply within the product experience.

Technical Expertise & Innovation

• LLM and NLP Integration: Drive the strategy for integrating and leveraging Large Language Models (LLMs) and advanced Natural Language Processing (NLP) techniques to enhance our text analytics, sentiment analysis, and generative features within the product.
• Familiarity with MLOps / LLMOps practices: Experience developing and deploying a Machine Learning Platform.  Experience with Agentic AI Architecture, deployment and execution. Familiarity with modern MLOps tools and platforms (e.g., AWS SageMaker, GCP Vertex AI, MLflow).
• Technical Direction: Set the technical standards for model development, deployment, monitoring, and maintenance. Ensure the team utilizes best-in-class data science models, tools, and platforms for scalable production systems.
• Ownership of model lifecycle: experimentation → deployment → monitoring → iteration
• Stay Current: Actively research, evaluate, and evangelize the latest developments in machine learning, deep learning, MLOps, and data science methodologies, ensuring the team's capabilities remain cutting-edge.

Team Management & Development

• Management and Motivation: Lead, mentor, and inspire a high-performing team of data scientists and machine learning engineers. Foster a culture of innovation, rigor, collaboration, and continuous learning.
• Recruitment and Growth: Recruit top-tier data science talent, manage performance, and define career progression paths to ensure the ongoing growth and retention of team members.

We’d love to hear from people with

• Experience: 10+ years of progressive experience in data science, including significant experience with AI/ML platforms, and at least 5 years in a Director level leadership role managing and scaling data science or machine learning teams in a commercial software environment.
• Experience building or leading AI/ML platforms: (feature stores, model serving, training pipelines) in a Cloud Environment like AWS
• Deep Technical Acumen: Extensive practical experience with and deep theoretical understanding of machine learning algorithms, statistical modeling, and experimental design (A/B testing).
• NLP and LLM Proficiency (Critical): Demonstrated experience in applying, fine-tuning, and integrating Large Language Models (LLMs) and advanced Natural Language Processing techniques into production systems, especially for tasks related to text classification, summarization, and generation.
• Product Thinking: Exceptional ability to translate ambiguous or high-level product needs into concrete, defensible data science problems and solutions.
• Communication: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders (e.g., Executives, Product Managers, Marketing).
• Education: Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.

The base pay provided for this position ranges from CAD $224,000/ year - $336,000/ year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from our Ottawa office up to 1 day per week.

#LI-Hybrid

The Role: Director, Product Design

As Director of Product Design, you'll set the strategic design vision for our organization while building and leading a high-performing design team, with an initial focus on strengthening our Product Design capabilities at Knak. 

You'll champion design excellence across all product teams, drive organizational design maturity, and ensure user-centric thinking is embedded throughout the company. 

This strategic leadership role requires exceptional design judgment, strong business acumen, and the ability to influence and inspire teams at all levels.

What You’ll Do

Define and drive Knak’s design vision and UX strategy
- Partner with executive and product leadership to align design direction with business goals, user needs, and emerging opportunities in AI

Explore and guide AI-driven product experiences
- Help define how AI enhances our platform and lead the design approach for intelligent, user-centered features

Champion AI adoption in the design process

- Drive the team to integrate AI-native tools like Claude Code, Cursor, and Lovable into everyday design workflows — from ideation through prototyping

Lead, mentor, and grow the product design team
- Build a high-performing, inclusive team by developing talent, supporting growth, and fostering a culture of creativity and accountability

Oversee execution of design across product teams
- Ensure consistent, high-quality output through critiques, reviews, and alignment with design systems and accessibility standards

Partner deeply with engineering
-Establish shared workflows and regular collaboration rhythms with engineering to ensure design intent translates cleanly into the shipped product

Establish and evolve Knak’s design system
- Drive scalable component development and close collaboration with engineering to improve speed and consistency

Set and maintain a high bar for visual and interaction design
- Own the standard for UI polish, visual consistency, and attention to detail across every product surface

Champion user research and usability testing
- Integrate qualitative and quantitative insights into the design process to validate decisions and improve outcomes

Advocate for design across the organization
- Represent design at the leadership table and influence product strategy through a strong, credible point of view

Lead cross-functional collaboration and alignment
-Facilitate workshops, design reviews, and working sessions that bring product, engineering, and marketing together to solve problems and drive clarity=

Champion design maturity across the organization
- Embed user-centric practices and design thinking across departments, fostering cultural change at every level

What You Bring

• 8+ years of experience in product design, including 3+ years leading and developing designers
• Proven people leadership with a track record of growing and mentoring high-performing teams
• Strong strategic thinking—able to connect design decisions to business outcomes and influence product roadmaps
• Experience designing enterprise B2B or SaaS products, with an understanding of complex workflows
• AI fluency—comfortable shaping design approaches for AI-powered features and understanding their impact on user experience
• Experience using AI-native prototyping tools like Claude Code (preferred), Lovable, Figma Make or Cursor to go from design concept to working prototype
• Expertise with traditional design tools such as Figma
• Deep knowledge of UX best practices, accessibility, and modern product development
• A strong portfolio demonstrating visual design excellence — you sweat the details and it shows in pixel-level polish and craft
• Experience establishing user research practices and integrating qualitative and quantitative insights into product decisions
• Expertise with Figma and prototyping workflows
• Experience defining design operations — including workflows, tooling, and resource allocation — to help a team deliver high-quality work consistently
• Strong cross-functional collaboration skills and credibility with product, engineering, and go-to-market teams
• Excellent communication skills, with the ability to advocate for design without creating friction

Bonus Points If You Have

• Experience building or scaling a design system
• Background in marketing technology, email marketing, or creative production tools
• Experience with rapid growth or scaling organizations
• Experience scaling a design team through periods of rapid organizational growth

Location: Ottawa, ON

As a Solutions Architect on the Canada team focused on Digital Native customers, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.