The Auth0 Sales Team

Auth0 supports Okta’s vision of freeing anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of log-ins every year for Consumer and SaaS applications. As an Auth0 RSM, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Auth0 customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.

Learn more about our global Sales team.

The Enterprise Auth0 Regional Sales Manager Opportunity

The successful Auth0 Regional Sales Manager is a highly motivated, self-driven, and experienced Account Executive who is passionate about security and about driving protection against the biggest identity threats.

As an Auth0 AE, you will be focused on providing value to Application Development teams (Engineering, Product, Security and Architecture). You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Auth0 customers. 

This role requires travel to our San Francisco, CA or Chicago, IL office for in-person onboarding during the first week of employment. If reasonable accommodation is needed to participate in the job application, interview process, or onboarding please use this Form to request an accommodation.

What you’ll be doing: 

• Build a plan to guide your long-term approach to net new logo pipeline generation 
• Consistently deliver revenue targets to support YoY territory growth 
• Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
• Identify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers  
• Scope, negotiate and close agreements to meet and exceed revenue quota targets 
• Holistically embrace, access, and utilize partners to identify and open opportunities 
• Build and nurture effective working partnerships within your Okta ecosystem (xDRs, Partners, Presales, Customer First, etc) 
• Travel as necessary to build and cultivate customer and prospect relationships

What you’ll bring to the role:

• 10+ years success in growing revenue for sophisticated, complex enterprise SaaS products
• Ability to evangelize, educate and create demand within the CTO organization, with a strong track record of pitching and closing to Product, Engineering, and Architecture decision makers
• Deep technical discovery skills that resonate with the developer community 
• Strong technical acumen with proven ability to connect a technical sale to a companies’ business outcomes
• Excellent communication and presentation skills with audiences of all levels and all technical aptitudes
• Confident and self driven with the humility required to successfully work in teams
• Expertise using a Sales Framework such as MEDDPICC, Challenger or Sandler (we use MEDDPICC)

#LI-Remote 

P14990_3436357

ZoomInfo is seeking a Principal Product Manager, Company Data to lead our company data strategy and execution, focusing on delivering our next generation company/account data creation pipeline. In this role, you'll own end-to-end product strategy for company data that serves millions of users and drives billions in revenue, working at the intersection of data science, large-scale data processing, and customer-facing experiences.

The Principal PM, Company Data will define multi-year vision while delivering measurable improvements month-over-month. This role is critical to maintaining ZoomInfo's competitive advantage in company intelligence by continuously raising the bar on data quality, coverage, and customer value.

What You'll Do (Essential Functions)

• Own end-to-end product strategy for company data, defining vision, roadmap, and success metrics aligned with company objectives
• Identify and prioritize high-impact opportunities that improve company data quality, expand coverage, or unlock new customer use cases
• Drive new data source integration for company attributes, including evaluation, negotiation, and productization of 3rd party partnerships
• Build scalable frameworks for company data enhancement, quality monitoring, and continuous improvement including resolution of critical data quality issues
• Define and track metrics that measure company data coverage, accuracy, freshness, and customer adoption
• Partner with engineering and data science to solve complex technical problems in company matching, hierarchies, entity resolution, and data pipelines
• Lead product discovery initiatives using customer interviews and data analysis to uncover true customer pain points beyond surface-level feedback
• Create comprehensive documentation, enablement materials, and objection handling frameworks that enable internal and customer-facing teams to understand and communicate company data value
• Lead go-to-market initiatives, partnering with product marketing and sales to position, message, and monetize company data improvements

What You Bring

Required Qualifications

• 8+ years of product management experience with at least 4+ years focused on data products, data platforms, or data-intensive B2B SaaS
• Proven track record of shipping impactful data products that improve quality, expand coverage, or unlock new use cases
• Deep technical understanding of data pipelines, data quality frameworks, entity resolution, data modeling, and/or machine learning applications
• Strong understanding of company data, firmographics, hierarchies, and business intelligence domains
• Cross-functional leadership with proven ability to influence engineering, data science, operations, and GTM teams without formal authority
• Strong analytical skills with ability to independently define metrics, analyze data, and make data-driven decisions
• Excellent communication skills with ability to explain complex technical concepts to diverse audiences and develop comprehensive documentation
• B2B SaaS experience, preferably in enterprise data products, APIs, or data-as-a-service offerings

Preferred Qualifications

• Background in data science, engineering, or analytics prior to product management
• Experience in high-scale data processing environments (billions of records, complex entity resolution)
• Familiarity with DaaS platforms, data marketplaces, customer enablement, or technical documentation
• Knowledge of data privacy regulations (GDPR, CCPA) and their product implications
  
  

#LI-VC1
#LI-Hybrid

We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management(IAM) and proven expertise in cloud-native environments, particularly AWS. In this role, you’ll help shape and implement modern identity strategies to secure access across all of Marqeta’s systems and services—100% cloud-based, with no data center footprint.

Join us in building a secure, scalable, and frictionless IAM program where you’ll play a crucial part in:

• Building and evolving our Identity Governance and Administration (IGA) capabilities.
• Implementing & Operating Privileged Access Management (PAM) in a cloud-first (AWS-focused) environment.
• Designing and architecting a Certificate Lifecycle Management solution that supports cloud-native workloads.
• Driving integration of IAM across AWS services, SaaS platforms, and developer/DevOps pipelines.
• Designing identity and access controls to protect AI/ML systems—ensuring secure access to training data, models, and inference APIs.

The Impact You’ll Have

• Develop and lead implementation of robust IAM strategies aligned with cloud-native architecture and security principles.
• Expand and operationalize the IAM program across IGA, PAM, SSO, MFA, access management, secrets management, and certificate lifecycle.
• Automate identity provisioning, de-provisioning, and access reviews using AI tools and infrastructure-as-code.
• Design IAM integrations for AWS-native services (Lambda, EC2, S3, IAM, etc.), SaaS platforms, and third-party identity tools (e.g., Okta, CyberArk).
• Promote and enforce least privilege and zero-trust principles through scalable access controls and policy automation.
• Mentor junior engineers and serve as a technical lead for IAM-related projects.
• Collaborate with Security, DevOps, and Infrastructure teams to embed IAM controls across the engineering lifecycle.
• Stay ahead of emerging trends and continuously refine IAM strategy based on evolving cloud threats and compliance requirements.

Who You Are

• A minimum of 8 years related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related education and work experience.
• Strong experience with IAM tools (e.g., Okta, CyberArk, Ping, SailPoint).
• Deep knowledge of IAM in cloud-native environments, especially AWS IAM, roles, policies, permissions boundaries, and federation.
• Proficiency in infrastructure-as-code (e.g., Terraform, CloudFormation).
• Familiarity with authentication and authorization protocols (SAML, OAuth2, OpenID Connect, Kerberos).
• Strong grasp of directory services like Active Directory, LDAP, and cloud-based alternatives.
• Hands-on skills in scripting (e.g., Python, PowerShell) to automate IAM operations.
• Solid understanding of compliance standards: NIST, SOC 2, PCI DSS, etc.
• Proven experience integrating IAM into CI/CD pipelines, secrets management, and DevOps workflows.
• Excellent communication skills and ability to influence and lead cross-functional teams.

Nice to have

• Relevant certifications such as CISSP, CISM, or IAM-specific credentials (e.g., CIAM/CAMS, CyberArk Certified, Okta Certified Consultant).
• Experience with AWS technologies such as Lambda, S3, DynamoDB, RDS, Aurora, SNS, SQS, CloudTrail, CloudWatch, Code Pipeline, AWS Developer Tools, and IAM roles and permissions
• Experience with DevOps tools and practices, including secrets management and CICD pipelines

Manager

• Sandeep Chotwani

Recruiter for this role

• Kayla Osuna

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 136,800 - 171,000

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company 
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management(IAM) and proven expertise in cloud-native environments, particularly AWS. In this role, you’ll help shape and implement modern identity strategies to secure access across all of Marqeta’s systems and services—100% cloud-based, with no data center footprint.

Join us in building a secure, scalable, and frictionless IAM program where you’ll play a crucial part in:

• Building and evolving our Identity Governance and Administration (IGA) capabilities.
• Implementing & Operating Privileged Access Management (PAM) in a cloud-first (AWS-focused) environment.
• Designing and architecting a Certificate Lifecycle Management solution that supports cloud-native workloads.
• Driving integration of IAM across AWS services, SaaS platforms, and developer/DevOps pipelines.
• Designing identity and access controls to protect AI/ML systems—ensuring secure access to training data, models, and inference APIs.

The Impact You’ll Have

• Develop and lead implementation of robust IAM strategies aligned with cloud-native architecture and security principles.
• Expand and operationalize the IAM program across IGA, PAM, SSO, MFA, access management, secrets management, and certificate lifecycle.
• Automate identity provisioning, de-provisioning, and access reviews using AI tools and infrastructure-as-code.
• Design IAM integrations for AWS-native services (Lambda, EC2, S3, IAM, etc.), SaaS platforms, and third-party identity tools (e.g., Okta, CyberArk).
• Promote and enforce least privilege and zero-trust principles through scalable access controls and policy automation.
• Mentor junior engineers and serve as a technical lead for IAM-related projects.
• Collaborate with Security, DevOps, and Infrastructure teams to embed IAM controls across the engineering lifecycle.
• Stay ahead of emerging trends and continuously refine IAM strategy based on evolving cloud threats and compliance requirements.

Who You Are

• A minimum of 8 years related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related education and work experience.
• Strong experience with IAM tools (e.g., Okta, CyberArk, Ping, SailPoint).
• Deep knowledge of IAM in cloud-native environments, especially AWS IAM, roles, policies, permissions boundaries, and federation.
• Proficiency in infrastructure-as-code (e.g., Terraform, CloudFormation).
• Familiarity with authentication and authorization protocols (SAML, OAuth2, OpenID Connect, Kerberos).
• Strong grasp of directory services like Active Directory, LDAP, and cloud-based alternatives.
• Hands-on skills in scripting (e.g., Python, PowerShell) to automate IAM operations.
• Solid understanding of compliance standards: NIST, SOC 2, PCI DSS, etc.
• Proven experience integrating IAM into CI/CD pipelines, secrets management, and DevOps workflows.
• Excellent communication skills and ability to influence and lead cross-functional teams.

Nice to have

• Relevant certifications such as CISSP, CISM, or IAM-specific credentials (e.g., CIAM/CAMS, CyberArk Certified, Okta Certified Consultant).
• Experience with AWS technologies such as Lambda, S3, DynamoDB, RDS, Aurora, SNS, SQS, CloudTrail, CloudWatch, Code Pipeline, AWS Developer Tools, and IAM roles and permissions
• Experience with DevOps tools and practices, including secrets management and CICD pipelines

Manager

• Sandeep Chotwani

Recruiter for this role

• Kayla Osuna

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 136,800 - 171,000

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company 
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

About the Role

As a Staff Detection & Response Engineer at Okta, you will occupy a high-impact leadership role within our Security Operations organization. This is not just a technical role; it is a strategic one. You will influence security decisions across multiple teams, drive innovation in our defense-in-depth strategies, and act as a force multiplier for our global security posture.

You will be responsible for leading complex threat hunts, managing major security incidents, and architecting the detection frameworks that protect Okta’s infrastructure and customers. You will serve as a bridge between executive leadership and technical teams, ensuring our security objectives align with broader business trends and strategic goals.

What You’ll Do

Technical Leadership & Innovation

• Threat Hunting: Lead complex, hypothesis-driven threat hunts based on vague intelligence, and develop refined methodologies for the broader team to follow.
• Detection Engineering: Write novel detections and solve complex querying challenges. You will establish the frameworks and standards for detection engineering across the entire security organization.
• Architectural Influence: Design and validate the effectiveness of preventative control chains and influence the selection and architecture of new security solutions.
• Incident Response: Serve as the technical lead for major incidents, including investigating threats in "foreign" or uncommon environments by leveraging frameworks and your professional network.

Global Mindset: While Okta maintains a 24x7posture, there is a requirement to be available in a crisis out of (your business) hours, and as a thought leader, to interface with colleagues globally. 

Strategic Execution

• Project Ownership: Own multi-quarter objectives and drive them to success, developing project plans that align with Okta’s strategic VMTs (Vision, Metrics, and Targets) and budget.
• Problem Solving: Navigate issues of diverse scope, analyzing data against current business trends to provide innovative solutions.
• Innovation: Secure resources for and drive innovation initiatives across multiple teams, facilitating cross-functional workshops to generate new security solutions.

Team Advocacy & Mentorship

• Culture Building: Foster an inclusive, collaborative environment by sharing wins, rewarding team efforts, and encouraging diverse perspectives.
• Mentorship: Act as an advisor to junior colleagues, providing actionable feedback and helping others align their career goals with organizational objectives.
• Consensus Driving: Drive consensus and resolve issues within cross-functional teams, ensuring all stakeholders are aligned on security priorities.

Who You Are

• Expert Investigator: You have a deep understanding of threat actor TTPs and can navigate complex systems even when documentation is sparse.
• Effective Communicator: You can translate complex technical problems for any audience, from executive leadership to junior analysts.
• Resilient Leader: You have a "bottom-line" orientation, persisting through obstacles and setbacks to achieve results.
• Self-Aware & Empathetic: You proactively seek feedback, know your limits, and lead with empathy and compassion.
• Collaboratively Minded: You prioritize the development of others and establish internal and external networks of coaches and mentors.

Qualifications

• Proven experience in a high-growth SaaS or security-focused environment.
• Expertise in querying languages, detection frameworks (e.g., MITRE ATT&CK), and modern IR toolsets.
• Experience managing communications during crises or major security incidents.
• Demonstrated ability to lead project teams and manage budget/resource requirements.
• Strong background in automating response workflows and refining preventative controls.

Why Okta? Okta is the World’s Identity Company. We are building a world where anyone can safely use any technology. As a Staff Engineer, you will play a pivotal role in ensuring that vision remains a reality.

#LI-HYBRID 

P6513_3323862

Join Okta’s Defensive Cyber Engineering team as a Staff Engineer responsible for safeguarding Okta’s environments. You’ll work closely with the Security, Business Technology Engineering and Product teams to implement and manage security solutions and ensure that core infrastructure applications are protecting our workforce, endpoints, and corporate data. 

A strong desire to make tools and people work together to solve complex security problems is central to this role. This approach mandates an engineering-first approach: maximizing the utility of existing security tools before strategically building or buying new solutions to address any remaining security gaps. 

To execute this vision, you will combine your enterprise security expertise with your hands-on engineering skills, leveraging automation, policy-as-code, and cloud-native technologies to deliver scalable, resilient, and secure solutions. Your work will ultimately set standards for security best practices across the organization and influence the architecture of business-critical systems.

What you bring:

• Hands on experience with enterprise security tools such as Okta, Crowdstrike and Palo Alto suite covering EDR (Endpoint Detection and Response), CASB (Cloud Access Security Broker), DLP (Data Loss Prevention), MDM (Mobile Device Management), SASE (Secure Access Service Edge), and SSPM (SaaS Secure Posture Management) capabilities.
• Strong coding and scripting skills are required for building automation and custom tooling. Python experience is preferred, but proficiency in other languages (e.g., Bash, PowerShell, Go) is a plus.
• Proven track record automating security controls and workflows using a cloud-first approach
• Experience with Terraform and other infrastructure-as-code tools to orchestrate security infrastructure
• Familiarity with CI/CD pipelines for security automation and drift management
• Strong communication skills across technical staff, support teams, executive leadership, and external vendors.

What you’ll be doing

• Serve as a security subject matter expert (SME) for solution engineering, architecture reviews, security assessment, and vulnerability mitigation
• Lead technical efforts evaluating, designing, and implementing new enterprise security systems and feature enhancements
• Build, maintain, and enhance custom automation and cloud infrastructure using Terraform or similar tools to support team workflows and the enforcement of security controls
• Develop integrations with APIs, cloud platforms (AWS, GCP, Azure), and security infrastructure to improve detection, response, and remediation
• Collaborate with cross-functional teams to tackle global technology and security challenges
• Write and maintain scripts and automation to streamline security operations, with an emphasis on Python-based solutions
• Establish monitoring and alerting for security posture, misconfigurations, and threats across endpoints, SaaS, and cloud workloads
• Proactively identify and remediate security gaps; stay updated on emerging threats, solutions, and tooling across the industry

And extra credit if you have experience in any of the following!

• Working with advanced identity management technologies (MFA, SAML, OAuth, OIDC, WebAuthn)
• Deep understanding of Okta's ecosystem, including advanced configuration and integrations
• Experience with continuous compliance solutions (e.g., policy-as-code, automated evidence gathering)
  
  

What you can look forward to as an Full-Time Okta employee!

World-class benefits, flexibility, and growth opportunities

The chance to shape the security posture of a global leader in identity

Opportunities to make a social Impact through technology and innovation

Ready to join Okta and make security the foundation of our innovation? Apply today!

#LI-HYBRID

P24217

The Okta Security team’s mission is to strengthen Okta’s position as the leading Identity-as-a-Service solution through identifying and resolving risks to the employees, product, and most importantly, our customers. With the ever-increasing pace of cloud application adoption, companies are struggling to find ways to accurately assess risk and act at the speed of their business. 

As a Staff Technical Program Manager supporting the Cyber Defense team, you will play a critical role in driving large-scale security projects. You will partner with our global Cyber Defense Operations and Engineering teams to design, build, and enhance the capabilities we use to protect Okta and our customers. This role requires exceptional leadership skills, demonstrated by an ability to influence and align stakeholders at all levels - from individual engineers to leadership. You’ll drive effective teamwork, resolve conflict, negotiate priorities, and foster a culture of shared commitment to a common goal. 

The ideal candidate has extensive experience in cybersecurity and a proven track record of managing technical programs in a fast-paced, cloud-native environment. This position requires strong leadership, ownership and autonomy, and executive communication skills, with the ability to translate complex technical challenges into clear, actionable plans.

Job Duties and Responsibilities:

• Manage large scale, complex initiatives across multiple teams; taking a hands-on and proactive approach to manage dependencies, unblock progress, define timelines, communicate commitments, and introduce efficiencies
• Operate with a high degree of autonomy and discretion, defining the path forward for complex technical and operational challenges with minimal guidance
• Unify and drive effective teamwork, communication, collaboration, and commitments across multiple disparate groups with competing priorities
• Anticipate and mitigate risks by having close involvement with team goals and challenges, applying past experience, and keeping the big picture in mind
• Lead the introduction of new processes and improvements to mature Cyber Defense capabilities and improve operational efficiency
• Develop and maintain metrics and dashboards to report on program status using Jira and other tools
• Collaborate across Okta to drive transparency of security programs

Minimum REQUIRED Knowledge, Skills, and Abilities:

• Bachelor’s degree or higher in Computer Science or Management Information Systems, or equivalent experience
• 5+ years of experience in technical program management, with at least 3 years focused on cybersecurity
• Demonstrated ability to create structure and clarity from ambiguous, high-level directives, translating them into concrete and actionable roadmaps
• Extensive working experience with security or engineering teams
• Working knowledge of technical terms and concepts used in information security, privacy, risk and contingency planning
• Exceptional communication and collaboration skills with the ability to influence and align stakeholders across all levels
• Experience working with Atlassian products, specifically Jira and Confluence
• Strong analytical and problem-solving skills and the ability to “think-out-of-the-box”
• Strong oral and written communication skills
• Able to work independently and as part of a distributed, global team

Helpful Certifications / Skills:

• Certified ScrumMaster (CSM)
• Program Management Professional (PMP)
• Security certifications such as CISSP, CISM, or other relevant credentials
• Technical background in security engineering, security operations, or incident response
• Familiarity with Okta’s products and services

#LI-HYBRID

#LI-SH1
P17983_3404596

Curious about how cutting-edge hardware actually comes to life? We're looking for someone who’s excited to dive into the core of next-gen systems and help make them real. In this role, you’ll validate high-speed interfaces, solve complex system-level puzzles, and collaborate across teams to shape the future of AI/ML computing. If firmware, hardware, and hands-on debugging sound like your kind of fun — let’s chat!

This role is hybrid and based in Vancouver, Canada. 

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You love bringing hardware to life and enjoy the thrill of solving tricky problems across the hardware–firmware boundary.
• You’re hands-on in the lab and comfortable with tools like oscilloscopes, protocol analyzers, and JTAG — digging deep doesn’t scare you.
• You’re comfortable jumping into unfamiliar problems and figuring things out — whether it’s in the lab or in firmware.
• You’re curious, collaborative, and excited to work on technology that pushes the boundaries of performance.

What We Need

• Someone to take the lead in validating our next-gen PCIe interfaces — from controller to PHY, and everything in between.
• A strong collaborator who can work across hardware, firmware, and software teams to bring up new features and solve problems.
• A sharp debugger who’s comfortable triaging issues across hardware, firmware, and software layers.
• A detail-oriented thinker who thrives in fast-paced environments and enjoys seeing ideas come to life in real systems.

What You Will Learn

• How to work at the cutting edge of compute — validating next-gen hardware and making it production-ready.
  How different pieces of a system come together — from multi-die chiplets to firmware integration and beyond.
  How to use advanced tools and techniques to debug and tune complex system interactions.
  How to shape emerging technology in a collaborative, fast-moving engineering environment.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Marketing, Sales, Support, and GTM teams to ship great products. You’ll take part in every type of product work here — from strategy to product to process improvements — conceptualizing, launching, and iterating on Asana itself for millions of teams around the world.

Asana is pivoting to become an AI-first organization where AI consumption revenue and AI Teammates represent the core of our future. We are looking for a visionary Principal PM to lead the charge in redefining how humans and AI collaborate through vertical-specific, high-impact workflows.

While you will manage how Asana is discovered and represented across major LLMs (representing roughly 25% of the role), your primary focus will be driving product-led growth (PLG) through industry-aligned AI experiences.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Define and deliver verticalized use cases that AI Agents leverage across priority industries, translating workflows into AI-native experiences.
• Develop PLG motions that pioneer the "Copilot-to-Autopilot" journey, enabling autonomous AI Teammates to handle end-to-end workflows.
• Manage strategic partnerships with LLM providers to optimize how Asana surfaces in discovery environments, ensuring seamless entry for new users.
  Own and deliver on critical Growth KPIs, including AI Net ARR, AI Teammate adoption, and verticalized activation metrics.
• Operate with a 0→1 builder mentality to invent new playbooks for AI consumption revenue in a highly ambiguous environment.
• Influence cross-functional stakeholders in engineering, design, and executive leadership to align product strategy with emerging technology trends.
• Lead Asana's acquisition playbook for emerging LLM-driven channels to drive how new users discover and adopt the platform.

About you

• 8–10+ years of product management experience, with a focus on growth at B2B SaaS companies.
• Proven track record in driving top-of-funnel acquisition and activation strategies.
• Deep experience with AI/ML products, LLM APIs, or third-party platform integrations like ChatGPT or Claude.
  Strong analytical foundation with expertise in experimentation, A/B testing, and full-funnel optimization.
• Strategic business acumen used to balance user experience with evolving AI-driven revenue models.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $211,000 - $240,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here — from strategy to product to process improvements — conceptualizing, launching, and iterating on Asana itself for millions of teams around the world.

We're looking for a Senior Product Manager to lead our Communications Integrations team and define the experience for our customers using Asana on the most frequently-visited channels and platforms for knowledge workers- Google, Microsoft, and Slack. You’ll be responsible for bringing the power of Asana to these top platforms and building experiences that connect Asana AI to Gemini, Copilot, and other 3rd-party AIs and agents. You’re a seasoned product leader who has a deep empathy for customers, and excels in complex systems thinking to create a seamless customer experience. You thrive on cross-functional collaboration and are excited to partner with engineering, design, user research, product marketing, product leadership, and the rest of our amazing PM team.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Lead a team to build powerful, delightful experiences for users on Asana’s top integrations on Google, Microsoft, and Slack to drive user adoption, retention, and growth
• Partner closely with Google, Microsoft, and Slack to develop a shared roadmap that maximizes the reach of Asana workflows and the power of Asana AI, including how Asana’s AI interacts with 3rd-party AI on these platforms
• Collaborate with cross-functional stakeholders and synthesize data and user inputs to identify customer problems, establish a vision, set strategy, build and ship solutions
• Partner with engineering, design, and other functions to execute on roadmaps with high velocity
• Maximize clarity by bringing a data-driven mindset to setting goals and milestones

About you

• 5-8+ years of product management experience, with majority in building and growing user-facing features in B2B SaaS products serving Enterprise customers. Candidates who've built on 3rd party platform integrations is nice-to-have.
• Systems thinker: You can conceptualize valuable connections between user actions and notifications across different channels, and understand how these things factor into user adoption and retention.
• Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption. Experience with AI/ML products, LLM APIs, is nice to have. 
• Strategic: You inspire the company by creating bold, intuitive work experiences for our users across different channels to best solve user problems.
• Get Stuff Done: You create, flex, and evangelize a roadmap; thoughtfully break down projects to MVPs and iterative projects to ship with high velocity and business impact. 
• Customer-centric: You analyze our top customer personas; dig into the roots of customer needs; synthesize research to gain a deep understanding and narrow definition of a problem.
• Communication and collaboration: You partner with cross-functional teammates to deliver high-quality results. You speak with clarity and write sharp product specs. You are highly comfortable getting into technical discussions with engineers about the pros and cons of different approaches, and you pair with design on complex user flows.
• Growth Mindset: You lead with curiosity and are open to feedback in order to learn.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $176,000-$200,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

We're looking for a Staff Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. You'll drive Asana's acquisition playbook for the emerging LLM-driven channels and re-imagine new customer onboarding in the AI-era. As part of the PLG organization, you'll leverage data to influence how new users discover, learn about,  and decide to start using and paying for Asana.

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Work closely with Product Managers and User Researchers (UXR) to understand the needs of our new customers in their first few minutes of interaction with Asana, employing data frameworks and methodologies to understand our user segments, visualize the new user funnel, identify levers for driving conversion revenue, and personalize the onboarding journey to ensure better adoption outcomes. 
• Act as the "Data Lead" in a triad with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize the roadmap.
• Design experiments that measure product progress, and own key performance metrics.
• Collaborate and mentor fellow Data Scientists in the team to research, identify and disseminate best practices across teams.
• Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana’s value proposition. 

About you

• 5-7 years of data science experience, with majority in growth-focused roles at B2B SaaS companies 
• Proven track record driving acquisition and activation for B2B SaaS products, with specific experience in top-of-funnel growth and new user acquisition.
• 0→1 builder mentality. You've demonstrated the ability to thrive in highly ambiguous environments where you're inventing new playbooks rather than executing existing ones. You're energized by pioneering work.
• Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms.
• Strong analytical foundation with deep fluency in experimentation, A/B testing, and funnel optimization.
• Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product, engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity.
• Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy.
• Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption.
• Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).
• Familiarity with statistical methods including experimental design, regression, causal inference with observational data and time series modeling.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. 

For this role, the estimated base salary range is between CAD 211,000-240,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As an Application Security Engineer, you will contribute to finding and responding to security vulnerabilities across the Brex platform. In this role, you will participate in code reviews, design reviews, penetration testing, and vulnerability management. You will contribute to tooling that performs static and dynamic testing of the Brex platform and supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, and IT Infrastructure teams.

We're looking for individuals with a solid foundation in penetration testing and a curiosity for finding vulnerabilities in complex systems. You should have experience identifying and documenting vulnerabilities across common vulnerability classes and be able to communicate their risk clearly to engineering and product teams. This role is highly cross-functional — you'll have the opportunity to collaborate with engineering teams across Brex and grow your security expertise in a fast-moving environment.

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. As we integrate AI across our product suite, this role will give you hands-on experience contributing to AI security at Brex. You'll apply emerging AI security best practices to help secure our agentic features, identify attack surfaces introduced by LLM-powered systems, and partner with product and engineering teams to build AI capabilities our customers can trust with their critical financial operations.

Responsibilities

• Identify vulnerabilities across common vulnerability classes (e.g., OWASP Top 10), document findings clearly, and communicate risk to drive remediation efforts
• Participate in penetration testing and design reviews alongside senior engineers, contributing to the identification of vulnerabilities and insecure designs
• Contribute to internal tooling and automation efforts that support SAST and DAST testing of the Brex platform and promote secure development practices
• Collaborate with engineering and product teams to support the design of secure product features
• Actively contribute to a culture of security awareness through knowledge sharing and peer learning

Requirements

• 4+ years of work experience in Application Security or a related role
• Demonstrated ability to find and document vulnerabilities in complex systems, with clear communication of business risk
• Hands-on experience with a subset of secure development activities, such as code review, threat modeling, or penetration testing
• Experience identifying security risks in AI/ML systems — such as prompt injection, model manipulation, or data poisoning — through work experience, personal projects, CTFs, or bug bounties
• Familiarity with agentic workflows and the ability to reason about attack surfaces introduced by LLM-powered features
• Knowledge of Python or scripting languages to automate tasks and build tooling
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Experience with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Experience with securing distributed systems in AWS and cloud environments
• Experience with web application security reviews
• Contributions to the wider technical community — open source, public research, CTF participation, blogging, CVEs, or presentations
• Experience submitting to bug bounty or responsible disclosure programs
• Published AI security research or contributions to AI security frameworks

Compensation

The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Your role
As an Applied Scientist at Dialpad, you'll be a key driver within our AI team, conducting R&D to power the next generation of autonomous voice agents. While traditional NLP focuses on analyzing static text, your work will center on real-time, multimodal systems that can listen, reason, and take action during live customer interactions. A major focus of the team is advancing DialpadGPT, our proprietary LLM, specifically optimizing it to drive orchestrated agentic workflows and handle complex task execution. Beyond the technical skills, we are a team that values collaboration, continuous learning, and the application of diverse perspectives to solve complex problems. Collaboration will be key as you work alongside our engineering, design, and product teams to build groundbreaking agentic applications.

If you're passionate about agentic and multimodal AI and contributing to a team that's changing the face of business communications, you'll find yourself right at home with us.

This position reports to the Senior Manager of the NLP team and has the opportunity to be based in Vancouver, BC.

What you’ll do

• Research and develop state-of-the-art algorithms for autonomous voice agents, specifically focusing on real-time speech processing and reasoning loops.
• Advance DialpadGPT: Design and execute distributed training strategies to optimize our proprietary LLMs for agentic behaviors, including precise tool use, instruction following, and latency-constrained generation.
• Conduct rigorous evaluation and monitoring of model performances and troubleshoot issues with a keen understanding of resultant business impacts.
• Design and implement orchestration layers that effectively chain LLMs with external tools and APIs to solve complex customer problems autonomously.
• Work with large-scale multimodal datasets (text, audio) to improve model robustness and alignment.
• Collaborate with engineering, product, and design teams to deploy scalable, low-latency models and algorithms in production.
• Submit papers to top-tier academic conferences (ACL, EMNLP, NeurIPS) and contribute to the team’s research culture.

Skills you’ll bring

• Master’s or PhD degree in Computer Science, Machine Learning, Computational Linguistics, or a related quantitative field.
• 2+ years of industry experience in Machine Learning/NLP for Master’s degree holders, or 1+ years for PhD holders.
• Deep understanding of LLMs: Demonstrated experience with training, fine-tuning (PEFT/LoRA), and alignment techniques (RLHF/DPO) for specific domains or tasks.
• Experience with Agentic Systems: Familiarity with building autonomous agents, including concepts like tool use, function calling, reasoning chains (CoT), and memory management.
• Strong proficiency in Python and PyTorch, with the ability to write clean, production-ready research code.
• Research Track Record: A history of publishing in top-tier conferences (ACL, EMNLP, NeurIPS, ICASSP) is highly valued.
• Multimodal Awareness: Familiarity with speech technologies (ASR, TTS) or processing real-time audio streams is a strong plus.
• Ability to bridge the gap between research and product, translating complex technical concepts into business value.
• Familiarity with version control tools like Git for collaborative projects.

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

Astera Labs is seeking an exceptional Director of System Validation to lead our AI Fabric Validation organization. Connectivity is a critical component of every AI accelerator deployment and hyperscale data center architecture. As part of the AI Fabric Engineering group, you will play a key role in ensuring that Astera Labs’ fabric solutions perform at scale and deliver system-level performance across the most demanding AI and ML workloads. This role offers a unique opportunity to shape validation strategy for cutting-edge connectivity silicon and gain deep insight into next-generation AI infrastructure platforms. Your primary responsibility will be to build and lead a world-class validation organization tasked with validating all silicon, firmware, and system-level solutions at scale, ensuring performance, reliability, and production readiness across customer deployments. 

Job Description 

• Seeking a strong technical leader who has delivered multiple SoC products. 
• Lead and scale the system validation organization for Astera Labs' AI fabric portfolio, building a high-performing team across multiple concurrent product programs. 
• Understand the performance and functionality requirements of our AI fabric switches to enable customers to develop Data Center systems using Astera Labs' connectivity products for AI and ML applications. 
• Own comprehensive validation strategies for AI fabric switch products. Drive execution through scalable automation platforms and data-centric testing with automated reporting and specification compliance verification. 
• Collaborate cross-functionally with Architecture, Hardware, Firmware, and Software teams to influence product requirements and ensure validation excellence. 
• Ensure timely bringup of new silicon and platforms, driving rootcause analysis and crossfunctional debug of hardware, firmware, and system issues. 
• Deliver high confidence validation results that support product qualification, customer sampling, and mass production readiness. 
• Engage directly with key customers to understand their requirements and highlight the unique capabilities of Astera Labs' solutions. 
• The ideal candidate brings deep expertise in silicon/system validation, a strong architectural mindset, and a proven ability to scale organizations in fastmoving, highperformance computing environments. 
• Work closely with silicon design, architecture, Firmware, software engineering teams to ensure cohesive validation strategies. 
• Drive a culture of technical excellence, accountability, and continuous improvement. 
• Manage resource planning, and vendor/partner relationships. 

Basic Qualifications 

• Strong academic background in Electrical or Computer Engineering. Bachelor's required, Master's preferred. 
• ≥15 years' experience supporting or developing complex SoC/silicon products for Server, Storage, Networking applications and highperformance hardware companies. 
• ≥5 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems. 
• ≥2 years building high performance Engineering teams and validation methodologies. 
• Deep understanding of CPU, GPU, SoC, or AI/ML accelerator architectures, including memory subsystems, I/O, power management, and firmware interactions. 
• Expertise in validation methodologies: presilicon simulation/emulation, postsilicon bringup, system validation, stress testing, and performance characterization. 
• Strong background in debug methodologies, lab infrastructure, and automation frameworks. 
• Excellent communication skills and ability to influence executives and crossfunctional partners. 
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind! 

Preferred Experience: 

• ≥5 years leading validation teams planning, execution and maintaining project visibility. 
• ≥10 years hands-on experience with Silicon/System bring-up, validation, and debug, including in customer systems. 
• Thorough knowledge of high-speed protocols like PCIe, CXL, NVMe, or Ethernet. 
• Deep understanding of High-Speed Signaling Principles and x86/ARM architecture, UEFI/Linux boot sequence. 

The base salary range is $200,000 CAD - $250,000 CAD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.  

What Appnovation offers 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

What benefits Appnovation has to offer 

• Private Medical Insurance
• Dental Plan
• Registered Retirement Savings Plan
• Wellness Allowance
• ME Days
• Employee Assistance Programme
• Fertility and Menopause Leave

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

As a Sr. BI Analyst at Visier, you are a high-level technical lead sitting at the intersection of internal operations and product innovation. You serve as a strategic consultant to our People & Culture (P&C) leadership, transforming complex workforce data into the narratives that drive our global business strategy. 

This is a compelling role. You are not just building dashboards; you are a "product-minded" analyst who takes full ownership of the end-to-end analytical lifecycle. You’ll learn the industry-leading people analytics platform and identify opportunities, define the strategy, and deliver the insights that steer our leadership. Your mandate is to push our internal strategy forward, leveraging our own technology to ensure we are not just using our platform, but setting the gold standard for it.

This role is based out of our Yaletown office in downtown Vancouver.

What you will be doing:

• Strategic Consultation & Advisory: Act as a dedicated internal consultant to the P&C team and senior leadership. You will proactively identify business gaps, translate high-level objectives into data-driven roadmaps, and own the end-to-end design and delivery of high-impact analytical solutions. You operate as a partner, not a service provider: you don’t just deliver the data, you define the “so what” and “what’s next” to actively steer our business strategy. 
• Autonomous Project Leadership: You have full autonomy to identify, define, and execute large-scale technical projects. You are responsible for the end-to-end vision, from data modeling and workforce trend analysis, to communicating outcomes directly to senior stakeholders. 
• Product & AI Innovation: Champion innovation by partnering with Product teams to drive technical changes. You will identify complex data signals and "intangibles" from our internal workforce and business data to influence new product features and validate the effectiveness of our workforce AI models.
• System Integrity & Governance: Own the health and accuracy of our internal Visier People instance. You are the final authority on our data model, resolving complex integration issues across Workday, Peakon, and our proprietary applications to maintain a trusted, single source of truth.
• Strategic Insight Synthesis: You are the primary driver of our data-informed strategy. Rather than simply analyzing data, you leverage these insights to spearhead specific organizational improvements. You own the end-to-end process: from diagnosing business challenges to shaping the narrative, and ultimately driving the adoption of the changes that improve our overall organizational health.
• Optimizing Operational Delivery: Drive operational efficiency by collaborating with the internal teams to track performance metrics and ensure the timely execution of all departmental deliverables.
• High Influence: Act as a dedicated internal consultant to department heads, leading deep-dive discovery sessions to map their specific business KPIs to actionable workforce data. You will drive the adoption of Visier People by demonstrating how the platform transforms complex departmental challenges into measurable growth opportunities, making our data the cornerstone of their strategic decision-making.

What you’ll bring to the table:

• Advanced Experience: 6+ years in a BI or Data Analytics role, with a record of resolving complex issues in creative ways within a SaaS or HR Tech environment.
• Technical Mastery & Leadership: Advanced-level SQL and deep expertise in data visualization. You lead by example and may function as a lead for cross-functional work groups.
• Independent Judgment: A proven ability to work without supervision, applying advanced analysis to resolve complex situations where multiple variable factors are at play.
• Strategic Impact: A track record of taking initiative to drive process or technical changes across a business. You are seen as a subject matter expert who can influence the thinking of stakeholders.
• Domain Expertise: Advanced understanding of HR metrics and the HR tech stack (Workday, Greenhouse, etc.), coupled with an expert-level ability to evangelize the "Visier Way" of people analytics.
• AI Edge: A strategic understanding of how Machine Learning models consume data and the foresight to drive the future of AI-driven workforce insights.

🌱 Most importantly, you share our values…

• You roll up your sleeves
• You make it easy
• You are proud
• You never stop learning
• You play to win

🚀 How we work & what we offer...

• Fixed hybrid work model: 3 days a week in office (Tuesday, Wednesday, Thursday) 
• Modern, pet-friendly downtown office spaces with collaborative areas and an on-site gym 
• Annual company All Hands in Vancouver, our entire organization travels to our Vancouver HQ for a week of team building, learning and breakout sessions
• Competitive salary, and top-tier health and wellness benefits
• Stock options and/or bonus based on your role, location, and employment type
• Generous paid time off, including volunteering days and extra days over the December holidays 

The base pay range for this position in the 90,000-115,000 / year + bonus

Benefits and working arrangements may vary depending on your seniority, location and employment type. The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role.

Job Description:

Robots can do amazing things - if they can see. That’s where you come in. We’re Apera AI. Our breakthrough 4D Vision™ systems turn blind robots into intelligent, adaptable workers. But that transformation doesn’t happen without great teams.

We are looking for a Senior Machine Learning and Computer Vision Applied Scientist with outstanding problem-solving skills to join our AI team. This is an in-person role based in our Vancouver office, where you will collaborate closely with a small group of ambitious engineers and applied scientists delivering the future of robotic perception. Your work will be both grounded in state-of-the-art research and applied to guiding industrial robots on factory floors around the world.

You will own projects end-to-end from literature review through prototyping, benchmarking, and scaling. This includes:

• Extending Apera’s industry best object detection, stereo depth estimation, and 6d pose estimation modules

• Integrating foundation models into our perception stack to improve generalization and few-shot/zero-shot capabilities

• Collaborating with the C++ application team to get models deployed and user experiences optimized

• Collaborating with the infrastructure team to train and manage data on AWS

• Tracking the latest publications in top computer vision and robotics venues

• Prototyping and then implementing production training and deployment, mainly in PyTorch

• Optimizing models for real-time deployment at the edge (~1 Hz, powerful NVIDIA GPU) to support high accuracy, high robustness robot guidance

• Engineering for industrial reliability of 99.9%

About you:

You are motivated, talented, hardworking and have an entrepreneurial spirit. You enjoy making large impact at your company. You enjoy solving challenging problems rooted in real-world physics using science, imagination, creativity, and persistence. 

What We’re Looking For:

• STEM bachelor's degree

• 5+ years of experience in using deep learning for CV

• 4+ years of experience in software development

• Bonus:

• • Master’s or PHD degree with focus on computer vision and machine learning

• • Experience in 3D geometry and related topics in graphics and deep learning

Why Apera?

• We offer a competitive compensation package, including a base salary range of CAD $140,000–$180,000 plus stock options, designed to recognize your expertise and align your success with the company’s growth.

• You’re building systems that support teams working on real, deployed AI and robotics solutions, not hypothetical future tech.

• A chance to do meaningful, foundational work in a company that values execution and clarity.

• A culture of curiosity: we experiment, learn fast, and share openly.

• Well-funded with a recent Series A to fuel ambitious product roadmaps and growth.

• Trusted by big-name automotive in TIER 1 suppliers.

• High-impact work with autonomy and clear paths to grow.

Join us to make robotics more accessible, predictable, and powerful.

Our co-op/intern experience is unique and designed to prepare you for professional success. Our ultimate goal is to give you the mentorship, training and work experience you need to start your career successfully!

As part of Visiers R&D organization, our data science team is responsible for the development of advanced numerical algorithms and statistical techniques that generate business insights from human resource data. Mentored by an experienced Data Scientist you will collaborate on projects that match both your interests and Visier business needs. This could be software engineering focused (e.g. enhancing our machine learning pipelines or prototyping of automated insight generation), or research focused (e.g. unveiling compelling insights into the workforce from our unique multi-million employee cross-customers data set).

What you'll be doing...

• Modelling the problem at hand, such that it directly solves underlying business problems
• Brainstorming to identify the correct data required to solve business problems
• Performing statistical analysis on data to build statistical/machine learning models
• Identifying the right metrics to measure the success of the models and projects
• Communicating and presenting your work to stakeholders across the organisation
• Conducting independently research, in order to gain domain knowledge and learn cutting-edge techniques

What you'll bring to the table...

• Strong understanding of statistics and how to apply scientific methods to data using algorithms
• Coding skills in Scala, Python or other relevant languages
• Attention to detail and big picture thinking
• Currently pursuing your Masters or PhD
• Knowledge in one of the following areas would be an advantage:
• Hypothesis testing
• Machine learning techniques
• Scientific analysis and knowledge generation

The base pay range for this position in Canada is $5,500k / month.

The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role.

Build the Path Forward

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

We are seeking a highly skilled and technically proficient Field Service Technician to join our dynamic team focused on revolutionizing manufacturing processes. As a key member of our technical workforce, you will be responsible for operating, maintaining, and troubleshooting advanced robotic welding systems and automation equipment. This role demands a strong understanding of engineering principles, hands-on experience with mechanical and electrical systems, and the ability to integrate cutting-edge technology into diverse manufacturing environments.

This is a remote role based in Canada. Employment will be facilitated through a locally compliant entity.

What You’ll Do

• Operate and maintain a state-of-the-art multi-robotic welding system, demonstrating proficiency in robotic kinematics and dynamics.
• Load, monitor, and inspect welded assemblies with precision utilizing robotic vision systems and sensors.
• Accurately manage inventory of parts and completed assemblies.
• Conduct preventive maintenance, troubleshooting, and repairs on automation equipment and cells, both locally and at customer sites.
• Record and analyze data to facilitate engineering-driven issue resolution.
• Monitor cell performance and ensure precise part fit-up.
• Operate specialized machines integrated into customer manufacturing processes.
• Integrate autonomous welding cells into customer manufacturing processes, demonstrating proficiency in robotic system integration and communication protocols.
• Service and maintain pneumatic systems, welding equipment, robotics, and electrical automation devices.
• Integrate autonomous welding cells into customer manufacturing processes.
• Gain expertise in Forge processes, including operating the cell through command prompts and code changes.
• Interface with customers to optimize equipment efficiency.
• Collaborate with engineering resources to troubleshoot issues promptly.
• Inspect, clean, and replace electrical and mechanical components.
• Demonstrate adaptability to evolving needs and rapid developments in the field.
• Willingness to travel extensively (75%+ of the time) to customer sites

Who You Are

• Technical training, Trade School certification, Associate degree in Engineering Tech, or equivalent industry experience.
• Hands-on experience in the design, assembly, and troubleshooting of mechanical and electrical systems, preferably in manufacturing equipment.
• Welding experience is desirable, but certifications are not mandatory.
• Fluent in English and Spanish is desirable, but not required
• Familiarity with fabrication or machine shop processes.
• Comfortable with learning and using programming languages.
• Detail-oriented with experience handling small and fragile components.
• Passionate about collaborative work in a dynamic environment.
• Eagerness to learn and grow in the field.

Why You'll Love It Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need, when you need it
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses—help us grow our team!

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours

How will I make an impact? 

We are looking for seasoned software developers who are passionate about developing software using engineering best practices.  Senior software developers use past experiences & know-how to enable teams to be more productive & effective through the code they write, the decisions they make and knowledge they share.  Your ideas and perspectives are essential to making sure we are investing in the right technology and effectively advancing our goal.

We need software developers to work on a wide range of technologies including, but not limited to: distributed systems, machine learning, user interfaces, mobile and cloud computing.

What you'll bring to the role:

• Strong communication skill for technical discussions and collaboration
• Experience with OO design and proficient coding skills (ie:  C++, C# or Java)
• Strong understanding of Computer Science topics including: data structures, algorithms, databases, distributed systems
• A body of work demonstrating a consistent ability to complete technically challenging work
• Acumen with Artificial Intelligence tools
• Bachelor’s degree in computer science, computer engineering or similar technical discipline
• Developers at this level typically have 5+ years experience
• Strong execution, autonomy and mentoring of Junior Developers

D2L operates in a hybrid work style, with expectation of 3 days per week in office. 

This posting is not for a current vacancy; it is for future candidate consideration

How will I make an impact? 

We are looking for seasoned software developers who are passionate about developing software using engineering best practices.  Senior software developers use past experiences & know-how to enable teams to be more productive & effective through the code they write, the decisions they make and knowledge they share.  Your ideas and perspectives are essential to making sure we are investing in the right technology and effectively advancing our goal.

We need software developers to work on a wide range of technologies including, but not limited to: distributed systems, machine learning, user interfaces, mobile and cloud computing.

What you'll bring to the role:

• Strong communication skill for technical discussions and collaboration
• Experience with OO design and proficient coding skills (ie:  C++, C# or Java)
• Strong understanding of Computer Science topics including: data structures, algorithms, databases, distributed systems
• A body of work demonstrating a consistent ability to complete technically challenging work
• Acumen with Artificial Intelligence tools
• Bachelor’s degree in computer science, computer engineering or similar technical discipline
• Developers at this level typically have 8+ years experience
• Provide technical leadership across teams, through mentoring, influence and leading by example
• Solves ambiguous multi-system problems across teams/initiatives

D2L operates in a hybrid work style, with expectation of 3 days per week in office. 

This position is to fill an existing vacancy

Recruiting at Brex

Recruiting is where every career at Brex begins. We’re the first point of connection for future builders and leaders, helping candidates see what’s possible. We partner with leaders across the company to find exceptional talent and build high-performing teams. We move quickly, think strategically, and take pride in creating a thoughtful, welcoming candidate experience from the very first contact. We don’t just fill roles, we shape the culture at Brex, finding the next generation of builders and leaders.

What you’ll do

As a Senior Technical Sourcer, you will be a strategic talent partner responsible for identifying, engaging, and building pipelines of world-class technical talent. You’ll collaborate closely with recruiters, hiring managers, and technical leaders to deeply understand role requirements and develop proactive sourcing strategies that fuel both immediate hiring needs and long-term growth.

You’ll leverage advanced sourcing techniques, data insights, and market mapping to uncover exceptional talent across engineering, data, product, AI, and emerging technical domains. This role requires creativity, persistence, and strong business acumen to engage passive candidates and position Brex as an employer of choice. You’ll also play a key role in strengthening our diversity sourcing strategies and continuously improving sourcing processes and tools.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• ​​Lead end-to-end sourcing strategies for technical roles across engineering, data, product, AI, and other specialized functions.
• Conduct market research, competitive intelligence, and talent mapping to inform hiring strategies and pipeline development.
• Proactively identify and engage passive candidates through creative outreach across platforms such as LinkedIn, GitHub, and and other talent networks.
• Partner closely with recruiters and hiring managers to align on candidate profiles, calibrate talent, and refine search strategies.
• Build and nurture long-term talent pipelines for critical and hard-to-fill roles, including future-facing skill sets.
• Champion diversity sourcing initiatives to attract underrepresented technical talent.
• Track, analyze, and report on sourcing metrics to continuously optimize outreach effectiveness and pipeline health.
• Maintain accurate candidate data and activity tracking within recruiting systems and dashboards.
• Contribute to process improvements, sourcing best practices, and knowledge sharing within the recruiting team.

Requirements

• 3+ years of experience sourcing for technical roles (e.g., software engineering, infrastructure, data, product, AI) in a fast-paced, high-growth environment.
• Demonstrated expertise in advanced sourcing techniques, Boolean search, talent mapping, and market research.
• Strong understanding of technical skill sets, engineering org structures, and emerging technology trends.
• Proven ability to engage and convert passive candidates through thoughtful, personalized outreach.
• Excellent communication and stakeholder management skills, with the ability to influence and build trust with technical leaders.
• Data-driven mindset with experience using sourcing metrics to refine strategy and improve results.
• Ability to manage multiple high-priority searches simultaneously while maintaining quality and attention to detail.

Bonus points

• Experience sourcing for AI/ML, agentic AI, or other emerging technical domains.
• Experience recruiting or sourcing across multiple geographies (e.g., US, Canada, LATAM).
• Familiarity with tools such as Gem, Greenhouse, or other modern sourcing and CRM platforms.
• Experience contributing to employer branding, talent marketing, or community-building initiatives.

Compensation

The expected salary range for this role is CA$96,300–$140,000.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Strong extended health benefits: Health & Prescription coverage, vision and dental care, virtual health care, out-of-country medical coverage
• Insurance coverage (life, short-term disability, long-term disability, and more)
• Health Care Spending Account
• Two different Employee Assistance Programs
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

Note: Benefits may vary by location and are subject to local regulations.

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Vancouver_Canada

What you'll do

Throughout this 18-20 month program, you'll rotate through two of our G&A teams, learning about areas such as risk management, finance, automation, and data analysis. You'll contribute to critical process improvements and developments, implementing our processes while leveraging AI to streamline workflows and enhance decision-making.

You'll challenge the status quo, bringing insights from each rotation to the next to improve cross-team communication and efficiency. We believe in a founder mindset — and this program is designed to show you how you can take ownership of your growth. During each rotation, you'll complete a core project focused on key data insights, process implementation, or process improvement—many of which will involve exploring and applying AI solutions. You'll then have the opportunity to share your findings with your program class and Brex Executives.

The program is supported by our leadership team, and you'll have frequent meetings with various Brex leaders. This provides a unique opportunity to work closely with and learn from executives who are at the forefront of building an AI-native company.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Handle day-to-day tasks efficiently.
• Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.
• Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.
• Collaborate with EPD, G&A, GTM, and Legal to translate business needs into practical automation solutions.
• Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.

Requirements

• Bachelor’s degree.
• Demonstrated experience using AI tools and applying effective prompting skills.
• Strong problem-solving abilities and comfort working through ambiguity.
• Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.
• Proven ability to work both independently and in cross-functional teams.
• Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
• Desire to contribute in a fast-paced environment with a founding team member mindset.

Bonus Points

• Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering.
• Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.
• Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.
• Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics.
• Prior internships/full-time roles in an operational, data, or technical role, especially where you were involved in process improvement or automation.
• Familiarity with Retool, Salesforce, Hex, and Looker.

Compensation

The expected salary range for this role is $63,286- $71,196.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

As a Product Leader at Brex, you will be the driving force behind our Growth Product team — overseeing the thoughtful strategy and execution of team and technical systems to drive customer acquisition and onboarding. You will also collaborate closely with our Go-to-Market (GTM) teams to ensure seamless acquisition and onboarding for customers, particularly those with significant and complex spending needs. You will be instrumental in creating features, models, and tools that empower our GTM and Marketing teams to get maximal leverage out of their efforts. You will work closely with cross-functional teams across the organization, based in San Francisco, New York, Seattle, Vancouver, Brazil, and remote locations. Past examples of work in this domain include AI agents for GTM workflows, developing best-in-class GTM data and enrichment systems, ML models for account prioritization, prospect AI classification systems, and more.

Where you’ll work

This role will be based in either our San Francisco, Seattle, or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Drive product and systems investments that improve GTM metrics such as CAC payback, pipeline conversion, and efficiency.
• Define and execute a multi-quarter Growth strategy in partnership with Engineering, Design, GTM, Marketing, Ops, and Data to deliver high-impact, scalable products with measurable business impact.
• Embed within Sales, Marketing, and Customer Success to identify workflow bottlenecks and lead automation and optimization initiatives.
• Analyze GTM funnel and conversion metrics to uncover insights and guide product priorities and roadmap decisions.
• Set clear goals, metrics, and success criteria for the Growth team, driving accountability to measurable outcomes.
• Manage and develop a team of Product Managers, fostering clarity, ownership, and a culture of high performance.
• Oversee core Growth Product and Engineering domains, including account scoring, TAM data, outbound automation, and GTM tooling.
• Align stakeholders around an aspirational 6–12 month roadmap that advances GTM efficiency and business growth.
• Ensure successful activation and implementation of customers initiatives by partnering with GTM and Customer Success to operationalize tooling and automations.
• Continuously refine activation based on feedback and performance data to drive faster time-to-value and sustainable adoption.

Requirements

• Relevant experience: 10+ years of experience in product management or management consulting, ideally with direct responsibility for or experience scaling B2B products and GTM systems, with a strong understanding of growth, GTM, and/or marketing pipelines.
• Analytical sense: You demonstrate a strong aptitude for and actively use data to inform your decision-making. Basic SQL proficiency is strongly preferred.
• Communication: You have proven experience working and communicating effectively with senior leaders and executives, and influencing stakeholders across departments and functions, including Engineering, Design, Marketing, Sales, CRMX/Business Systems, IT, Legal, and more. You excel at building trust and working relationships.
• Systems-thinker: You are a systems thinker, capable of thinking holistically across product, technical, and people systems to identify bottlenecks and opportunities for efficiency, automation, fraud prevention, and product growth within the payables ecosystem.

Compensation

The expected salary range for this role is $340,000 - $425,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, Product identifies, scopes out, and helps build the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

As a Group Product Manager, you'll own a product area that sits at the center of Brex's highest-priority bets, setting the multi-quarter vision, making hard prioritization calls, and ensuring your team delivers outcomes that move company-level metrics, not just ship features.

This means operating across several modes. Leading strategy, identifying where AI and automation can meaningfully change the customer experience rather than just adding novelty. You’ll be building teams and leading PMs who think clearly, operate independently, and raise their own bar over time. And you'll be a cross-functional operator, driving alignment with Engineering, Design, Data, Risk, Legal, and GTM leaders on initiatives that don't fit neatly into one team's roadmap.

We expect you to use AI tools aggressively in your own work: for discovery, analysis, prototyping, and decision-making. You’ll also bring that same mindset to how your team builds products. The role is as much about scaling judgment and raising standards as it is about shipping.

Where you’ll work

This role will be based in either our San Francisco, Seattle, Vancouver, or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Define and own the multi-quarter vision and strategy for a core product area aligned to Brex’s highest company priorities. Identify and prioritize the highest-leverage opportunities that drive durable customer and business impact.
• Manage and develop a team of Product Managers, providing coaching, feedback, and career development. Foster a culture of ownership, accountability, and continuous improvement.
• Partner closely with Engineering, Design, Data, Risk, Legal, Compliance, Finance, and GTM leaders to deliver complex, cross-functional initiatives.
• Experience incorporating AI/ML capabilities (e.g., LLMs, automation systems, predictive models) into customer-facing or internal products, with a strong understanding of where AI meaningfully improves user experience, efficiency, or decision quality.
• Demonstrated ability to leverage AI tools to accelerate product discovery, analysis, experimentation, and execution (e.g., rapid prototyping, customer insight synthesis, requirement drafting, data exploration).
• Establish strong planning, prioritization, and execution frameworks across your portfolio. Define success metrics tied to company-level outcomes and ensure your team delivers measurable results.

Requirements

• 7+ years in product management, with direct experience managing and developing PMs.
• Have owned and scaled complex product areas in B2B, SaaS, or fintech, including driving measurable business outcomes across a multi-team portfolio.
• Can set strategy across multiple product surfaces and translate it into roadmaps your team actually executes against.
• Technically fluent enough to engage in architecture and systems tradeoffs with Engineering, not just defer to them.
• Data-driven by default: you define the metrics, design the experiments, and use the results to make calls.
• Comfortable operating in ambiguity, making prioritization tradeoffs with incomplete information, and bringing senior stakeholders along.
• Clear, concise communicator — written and verbal — who can distill complex product problems into narratives that land with executives and cross-functional partners alike.

Compensation

The expected salary range for this role is $280,000 - $350,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

Brex has an abundance of opportunities to develop tech-enabled infrastructure and applications to drive GTM productivity, measured by pipeline dollars, conversion rates, customer activation, retention, and ultimately revenue. This role will drive key initiatives to work with a dedicated Engineering and Design team and a set of XFN partners to develop tech-enabled tooling, infrastructure, and applications to support Brex’s revenue growth and retention.

Brex is at the forefront of re-architecting its GTM systems with modern, AI-powered infrastructure. You’ll work with a dedicated engineering team and cross-functional leadership partners to design and build scalable systems that increase productivity and revenue leverage across the funnel.

This includes initiatives such as:

• AI agents embedded across GTM workflows — designing, deploying, and iterating on autonomous agents that handle prospecting, lead qualification, customer onboarding, and lifecycle engagement
• Intelligent outbound and lifecycle automation — building systems that dynamically personalize outreach timing, channel, and messaging based on real-time signals
• Pipeline prioritization and scoring — helping improve our ML-driven models that continuously learn from conversion outcomes
• Application and onboarding optimization — using AI to reduce friction, predict drop-off, and adaptively guide customers through activation
• Experimentation infrastructure — standing up frameworks to rapidly test AI-driven interventions across the funnel, with clear attribution to revenue outcomes
• Revenue tooling that compounds — building platforms (not point solutions) that make every rep and marketer measurably more productive over time

Where you’ll work

This role will be based in either our San Francisco, Seattle or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Own a critical GTM-related metric and define the product strategy and roadmap to drive step-change improvements.
• Identify structural bottlenecks across the revenue funnel — spanning tooling, automation, data, incentives, and workflows — and design systems to address them.
• Lead 0→1 and 1→N initiatives that re-architect Brex’s GTM infrastructure.
• Partner deeply with Sales, Marketing, RevOps, Engineering, Legal, IT, and Data to drive high-impact outcomes.
• Influence stakeholders and executives through clear strategy, strong business cases, and measurable results.
• Establish clear input and output metrics, and operate with rigor on experimentation, prioritization, and tradeoffs.
• Help define and scale Brex’s Growth Product function as it evolves.

Requirements

• Experience building and scaling growth, revenue, or GTM systems in a high-growth technology company.
• Experience owning and materially moving company-level metrics.
• Strong systems thinking — ability to identify leverage points across product, process, and people systems.
• Demonstrated track record of leading complex, cross-functional initiatives with executive visibility.
• Deep analytical fluency; comfortable working with funnel metrics, experimentation frameworks, and data tools (SQL proficiency preferred).
• High ownership mindset with the ability to operate in ambiguity and build from first principles.

Compensation

The expected salary range for this role is $240,000 - $300,000.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

MaintainX est la première plateforme mobile au monde dédiée à la gestion des actifs et des tâches dans les environnements industriels et de première ligne. Nous proposons une solution moderne, basée sur l'IoT et le cloud, qui facilite la maintenance, la sécurité et l'exploitation des équipements et installations physiques. Nous aidons plus de 12 000 organisations, dont Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem et Shell, à atteindre l'excellence opérationnelle et la fiabilité à grande échelle. À la suite de notre série D de 150 millions de dollars menée par Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures et Ridge Ventures, MaintainX a levé un total de 254 millions de dollars, valorisant la société à 2,5 milliards de dollars. Alors que nous entrons dans notre prochaine phase de croissance, nous investissons massivement dans l'IA/ML, les LLM et l'IoT industriel afin de transformer le mode de fonctionnement des équipes de première ligne, en prédisant les pannes avant qu'elles ne se produisent, en automatisant les flux de travail et en intégrant l'intelligence dans chaque actif et chaque procédure.

Ce que vous ferez:

• Concevoir, développer et optimiser des modèles d’apprentissage automatique (machine learning) pour la détection et la classification de défauts de bout en bout — des choix liés aux données et à l’entraînement jusqu’aux stratégies d’évaluation et aux contraintes de mise en production.
• Réaliser des analyses exploratoires de données (EDA) sur des données de vibration, des données OT (technologies opérationnelles) et des séries temporelles afin d’en tirer des insights et d’identifier des motifs révélateurs de défaillances ou d’anomalies.
• Mener des expérimentations et évaluer différents algorithmes en modélisation de séries temporelles, en traitement du signal et en méthodes statistiques afin d’optimiser la performance des modèles.
• Collaborer avec les chefs de produit (PM) pour la découverte de fonctionnalités et la priorisation de la feuille de route, notamment en validant des hypothèses produit, en définissant des indicateurs de succès et en quantifiant l’impact pour les utilisateurs finaux.
• Travailler en étroite collaboration avec des experts du domaine afin de valider les résultats et d’assurer leur pertinence dans des contextes réels.
• Participer activement à la communauté interne de pairs pour remettre en question le statu quo, améliorer les méthodes de travail et influencer les décisions d’architecture, tout en contribuant à une culture d’excellence en science appliquée.
• Participer aux rotations de garde (on-call).

À propos de vous:

• Maîtrise ou doctorat en informatique, science des données, génie mécanique, génie électrique ou dans un domaine connexe, avec une spécialisation en surveillance d’état (condition monitoring) ou en apprentissage automatique.
• Plus de 5 ans d’expérience démontrée en programmation avec des outils standards de ML tels que Python, PyTorch, TensorFlow, etc.
• Solides connaissances fondamentales en apprentissage automatique, en science des données et en statistiques.
• Bonne maîtrise des techniques de modélisation de séries temporelles et de l’ingénierie de caractéristiques (feature engineering).
• Capacité à livrer du code prêt pour la production, bien testé, maintenable et validé par des expérimentations rigoureuses.

Atouts:

• Expérience pratique dans le développement de modèles appliqués aux données OT et de vibration, à la surveillance d’état et à la détection ou classification de défauts.
• Connaissance des techniques de traitement du signal (p. ex. transformée de Fourier, analyse en ondelettes) et de leur application aux données OT et de vibration.

Quels sont les avantages pour vous?:

• Un salaire compétitif et des opportunités d'équité significatives.
• Couverture des soins de santé, des soins dentaires et de la vue.
• Programme d'inscription 401(k) / RRSP.
• Prenez les congés dont vous avez besoin.
• Une culture du travail :
• Vous travaillerez avec des personnes intelligentes, humbles et optimistes à travers le monde.
• Un environnement méritocratique où les idées et les résultats sont publiquement célébrés.

Qui sommes-nous:

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.

We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell—achieve operational excellence and reliability at scale.

Following our $150 million Series D led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion.

As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.

What you’ll do:

• Design, develop and optimize machine learning models for fault detection and classification end-to-end e.g. data and training modeling choices to evaluation strategies and production constraints.
• Perform EDA on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies.
• Conduct experiments and evaluation of various algorithms on time-series modeling, signal processing, and statistical methods, to optimize model performance.
• Partner with PMs in product feature discovery and roadmap prioritization through validating product hypotheses, designing success metrics and quantifying end user impact
• Collaborate with domain experts to validate findings and ensure alignment with real-world applications.
• Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions, continuing to foster our culture of Applied Science excellence
• On-call duties

About you:

• Master’s or Ph.D. in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on condition monitoring or machine learning applications.
• 5+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow etc.
• Strong foundational knowledge in machine learning, data science, and statistics
• Familiarity with time-series modeling techniques and feature engineering.
• Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation.

Bonus skills: 

• Hands-on experience developing models for OT and vibration analysis, condition monitoring, and fault detection or classification.
• Familiarity with signal processing techniques (e.g., Fourier transforms, wavelet analysis) and their application to OT and vibration data.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A high impact Culture:
• You’ll work with Smart, Humble Optimists across the globe.
• Meritocratic environment where ideas and outcomes are publicly celebrated.

About us:

We exist to make the lives of frontline and maintenance teams easier by building software that meets their real-world needs. Our product transforms how 80% of the global workforce—those who don’t sit behind a desk—manage their operations, assets, and teams.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

As VP of Search, you’ll set the vision and direction for our global Search practice—leading best-in-class SEO, SEM, and Generative Engine Optimization (GEO) strategies across a diverse portfolio of clients and regions. You are the global leader and point of contact for Search within the agency, responsible for practice leadership, quality standards, capability growth, and operational excellence.

You’ll translate the evolving search landscape—including AI-powered discovery (AI Overviews, LLMs, and “answer engines”)—into actionable strategies, scalable frameworks, and measurable business outcomes. You balance executive-level client counsel with hands-on strategic depth, while building and sustaining a high-performing global team through strategic talent planning, staffing, and resourcing.

You’ll play a pivotal role in expanding our Search services and capabilities and helping our clients achieve top-tier performance. You define what great looks like, ensure we deliver it consistently, and evolve our offering to keep CM at the forefront of the industry.

*This is a one-year contract opportunity*

You Will: 

Practice leadership & operations

• Serve as the discipline lead and global point of contact for the Search practice—representing CM’s Search capabilities across agency leadership, cross-functional partners, and the broader Omnicom network.
• Define and lead the agency-wide vision for best-in-class SEO, SEM, and GEO—developing strategic POVs, frameworks, and standardized processes across regions and accounts.
• Act as a strategic thought leader, innovator, and champion for the role of search across the modern digital ecosystem.
• Spearhead and deliver educational Search presentations, developing internal slideware to keep other disciplines updated on search news, trends, best practices, and “what it means for your clients” opportunities.
• Own staffing strategy and resourcing across the global Search practice and client portfolio, partnering with Operations and account leaders to forecast needs, allocate talent, and address coverage gaps proactively.
• Lead administrative and operational oversight for the discipline (e.g., capacity planning, utilization, role mix, and scalable delivery models, performance reviews, capability roadmaps).

Client leadership & business growth

• Act as the executive Search lead for priority accounts, guiding senior stakeholders and ensuring Search programs align to business objectives, scope and measurable outcomes.
• Lead the creation, definition, execution, and optimization of holistic search strategies (SEO + SEM + GEO), including multi-year roadmaps.
• Proactively drive new business growth—shaping offerings, scoping work, mapping pricing/LOEs, supporting new business pitches, and identifying organic growth opportunities.
• Communicate complex search concepts and performance narratives in a concise, compelling, executive-ready manner, transforming search data insights into strategic opportunities.

Innovation, AI search & future-proofing

• Lead and implement AI Search Optimization / GEO strategies, ensuring clients are discoverable across AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Build frameworks and processes to systematically track and improve search performance, including GEO visibility metrics, attribution impacts, and content/technical readiness.
• Keep the agency ahead of search shifts (AI/ML automation, SERP changes, visual/voice/social search) and translate those shifts into new service offerings.

Strategy & execution

• Utilize cross-channel search data to understand user intent, shape content strategy, and identify business opportunities.
• Advise on technical website development to maximize indexability and visibility, including JavaScript SEO and accessibility considerations for both users and LLM crawlers.
• Define search-driven guidelines and requirements for content, page speed, accessibility, structured data, site architecture, URL structure, metadata, internal linking, sitemaps, etc.
• Conduct regular SEO/SEM/GEO audits and competitive analyses, translating insights into prioritized, executable roadmaps.
• Deliver actionable performance insights and strategic recommendations through clear, visually compelling reports—communicating complex concepts in a concise and easy-to-understand manner
• Collaborate with cross-functional teams to incorporate SEO strategies and best practices.
• Optimize social search channels (e.g., YouTube, TikTok) to maximize brand and content visibility across the digital landscape.
• Define success metrics and translate SEO/SEM/GEO results to business objectives.

You Have:

• 10–15+ years of Search experience, including 5+ years leading high-performing Search teams across multiple accounts.
• Experience managing department-level staffing, resourcing and operations.
• Strong communication and data storytelling skills (written and verbal), with confidence presenting to executive clients and agency leadership.
• Deep expertise in SEO (technical + content + UX + measurement) and experience overseeing SEM strategy or managing large-budget paid search campaigns.
• Experience integrating paid and organic search strategies and workflows to reduce costs while maximizing key business outcomes.
• Proven track record of driving measurable performance improvements.
• Strong organizational and project management skills, with experience leading multiple workstreams, teams, and deadlines simultaneously.
• Experience with global brands and international SEO (multi-region, multi-language sites).
• Experience managing SEO strategies for large-scale website migrations and redesigns.
• Experience with GEO and AI search optimization for both AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Experience defining and documenting cross-disciplinary internal processes, playbooks, and best practices to improve search implementation and deliverable quality.
• Deep understanding of search algorithms and ranking factors across modern search ecosystems (traditional search, social search & AI search).
• Proficiency in 3rd party SEO/SEM tools such as SEMrush, BrightEdge, Ahrefs, Screaming Frog, and similar platforms.
• Proficiency in analytics and visualization tools such as Google Analytics, Looker Studio (Data Studio), Adobe Analytics, Google Search Console, Tableau, etc.
• Experience with GEO/AI search tracking tools such as Profound, BlueFish, BrightEdge AI Catalyst, or similar solutions.
• Strong analytical skills, with the ability to interpret data, identify trends, and make data-driven decisions.
• Strong Excel skills (pivot tables, VLOOKUP/XLOOKUP, large datasets) and experience analyzing and reporting on performance data.
• Experience developing and executing search-driven content strategies that improve visibility, traffic, engagement, and conversion.
• Experience testing and leveraging AI to improve search workflows, efficiencies, and quality.
• A proactive, self-starter attitude and a passion for staying current in a rapidly evolving digital landscape.

As VP of Search, you’ll set the vision and direction for our global Search practice—leading best-in-class SEO, SEM, and Generative Engine Optimization (GEO) strategies across a diverse portfolio of clients and regions. You are the global leader and point of contact for Search within the agency, responsible for practice leadership, quality standards, capability growth, and operational excellence.

You’ll translate the evolving search landscape—including AI-powered discovery (AI Overviews, LLMs, and “answer engines”)—into actionable strategies, scalable frameworks, and measurable business outcomes. You balance executive-level client counsel with hands-on strategic depth, while building and sustaining a high-performing global team through strategic talent planning, staffing, and resourcing.

You’ll play a pivotal role in expanding our Search services and capabilities and helping our clients achieve top-tier performance. You define what great looks like, ensure we deliver it consistently, and evolve our offering to keep CM at the forefront of the industry.

*This is a one-year contract opportunity*

You Will: 

Practice leadership & operations

• Serve as the discipline lead and global point of contact for the Search practice—representing CM’s Search capabilities across agency leadership, cross-functional partners, and the broader Omnicom network.
• Define and lead the agency-wide vision for best-in-class SEO, SEM, and GEO—developing strategic POVs, frameworks, and standardized processes across regions and accounts.
• Act as a strategic thought leader, innovator, and champion for the role of search across the modern digital ecosystem.
• Spearhead and deliver educational Search presentations, developing internal slideware to keep other disciplines updated on search news, trends, best practices, and “what it means for your clients” opportunities.
• Own staffing strategy and resourcing across the global Search practice and client portfolio, partnering with Operations and account leaders to forecast needs, allocate talent, and address coverage gaps proactively.
• Lead administrative and operational oversight for the discipline (e.g., capacity planning, utilization, role mix, and scalable delivery models, performance reviews, capability roadmaps).

Client leadership & business growth

• Act as the executive Search lead for priority accounts, guiding senior stakeholders and ensuring Search programs align to business objectives, scope and measurable outcomes.
• Lead the creation, definition, execution, and optimization of holistic search strategies (SEO + SEM + GEO), including multi-year roadmaps.
• Proactively drive new business growth—shaping offerings, scoping work, mapping pricing/LOEs, supporting new business pitches, and identifying organic growth opportunities.
• Communicate complex search concepts and performance narratives in a concise, compelling, executive-ready manner, transforming search data insights into strategic opportunities.

Innovation, AI search & future-proofing

• Lead and implement AI Search Optimization / GEO strategies, ensuring clients are discoverable across AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Build frameworks and processes to systematically track and improve search performance, including GEO visibility metrics, attribution impacts, and content/technical readiness.
• Keep the agency ahead of search shifts (AI/ML automation, SERP changes, visual/voice/social search) and translate those shifts into new service offerings.

Strategy & execution

• Utilize cross-channel search data to understand user intent, shape content strategy, and identify business opportunities.
• Advise on technical website development to maximize indexability and visibility, including JavaScript SEO and accessibility considerations for both users and LLM crawlers.
• Define search-driven guidelines and requirements for content, page speed, accessibility, structured data, site architecture, URL structure, metadata, internal linking, sitemaps, etc.
• Conduct regular SEO/SEM/GEO audits and competitive analyses, translating insights into prioritized, executable roadmaps.
• Deliver actionable performance insights and strategic recommendations through clear, visually compelling reports—communicating complex concepts in a concise and easy-to-understand manner
• Collaborate with cross-functional teams to incorporate SEO strategies and best practices.
• Optimize social search channels (e.g., YouTube, TikTok) to maximize brand and content visibility across the digital landscape.
• Define success metrics and translate SEO/SEM/GEO results to business objectives.

You Have:

• 10–15+ years of Search experience, including 5+ years leading high-performing Search teams across multiple accounts.
• Experience managing department-level staffing, resourcing and operations.
• Strong communication and data storytelling skills (written and verbal), with confidence presenting to executive clients and agency leadership.
• Deep expertise in SEO (technical + content + UX + measurement) and experience overseeing SEM strategy or managing large-budget paid search campaigns.
• Experience integrating paid and organic search strategies and workflows to reduce costs while maximizing key business outcomes.
• Proven track record of driving measurable performance improvements.
• Strong organizational and project management skills, with experience leading multiple workstreams, teams, and deadlines simultaneously.
• Experience with global brands and international SEO (multi-region, multi-language sites).
• Experience managing SEO strategies for large-scale website migrations and redesigns.
• Experience with GEO and AI search optimization for both AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Experience defining and documenting cross-disciplinary internal processes, playbooks, and best practices to improve search implementation and deliverable quality.
• Deep understanding of search algorithms and ranking factors across modern search ecosystems (traditional search, social search & AI search).
• Proficiency in 3rd party SEO/SEM tools such as SEMrush, BrightEdge, Ahrefs, Screaming Frog, and similar platforms.
• Proficiency in analytics and visualization tools such as Google Analytics, Looker Studio (Data Studio), Adobe Analytics, Google Search Console, Tableau, etc.
• Experience with GEO/AI search tracking tools such as Profound, BlueFish, BrightEdge AI Catalyst, or similar solutions.
• Strong analytical skills, with the ability to interpret data, identify trends, and make data-driven decisions.
• Strong Excel skills (pivot tables, VLOOKUP/XLOOKUP, large datasets) and experience analyzing and reporting on performance data.
• Experience developing and executing search-driven content strategies that improve visibility, traffic, engagement, and conversion.
• Experience testing and leveraging AI to improve search workflows, efficiencies, and quality.
• A proactive, self-starter attitude and a passion for staying current in a rapidly evolving digital landscape.

As VP of Search, you’ll set the vision and direction for our global Search practice—leading best-in-class SEO, SEM, and Generative Engine Optimization (GEO) strategies across a diverse portfolio of clients and regions. You are the global leader and point of contact for Search within the agency, responsible for practice leadership, quality standards, capability growth, and operational excellence.

You’ll translate the evolving search landscape—including AI-powered discovery (AI Overviews, LLMs, and “answer engines”)—into actionable strategies, scalable frameworks, and measurable business outcomes. You balance executive-level client counsel with hands-on strategic depth, while building and sustaining a high-performing global team through strategic talent planning, staffing, and resourcing.

You’ll play a pivotal role in expanding our Search services and capabilities and helping our clients achieve top-tier performance. You define what great looks like, ensure we deliver it consistently, and evolve our offering to keep CM at the forefront of the industry.

*This is a one-year contract opportunity*

You Will: 

Practice leadership & operations

• Serve as the discipline lead and global point of contact for the Search practice—representing CM’s Search capabilities across agency leadership, cross-functional partners, and the broader Omnicom network.
• Define and lead the agency-wide vision for best-in-class SEO, SEM, and GEO—developing strategic POVs, frameworks, and standardized processes across regions and accounts.
• Act as a strategic thought leader, innovator, and champion for the role of search across the modern digital ecosystem.
• Spearhead and deliver educational Search presentations, developing internal slideware to keep other disciplines updated on search news, trends, best practices, and “what it means for your clients” opportunities.
• Own staffing strategy and resourcing across the global Search practice and client portfolio, partnering with Operations and account leaders to forecast needs, allocate talent, and address coverage gaps proactively.
• Lead administrative and operational oversight for the discipline (e.g., capacity planning, utilization, role mix, and scalable delivery models, performance reviews, capability roadmaps).

Client leadership & business growth

• Act as the executive Search lead for priority accounts, guiding senior stakeholders and ensuring Search programs align to business objectives, scope and measurable outcomes.
• Lead the creation, definition, execution, and optimization of holistic search strategies (SEO + SEM + GEO), including multi-year roadmaps.
• Proactively drive new business growth—shaping offerings, scoping work, mapping pricing/LOEs, supporting new business pitches, and identifying organic growth opportunities.
• Communicate complex search concepts and performance narratives in a concise, compelling, executive-ready manner, transforming search data insights into strategic opportunities.

Innovation, AI search & future-proofing

• Lead and implement AI Search Optimization / GEO strategies, ensuring clients are discoverable across AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Build frameworks and processes to systematically track and improve search performance, including GEO visibility metrics, attribution impacts, and content/technical readiness.
• Keep the agency ahead of search shifts (AI/ML automation, SERP changes, visual/voice/social search) and translate those shifts into new service offerings.

Strategy & execution

• Utilize cross-channel search data to understand user intent, shape content strategy, and identify business opportunities.
• Advise on technical website development to maximize indexability and visibility, including JavaScript SEO and accessibility considerations for both users and LLM crawlers.
• Define search-driven guidelines and requirements for content, page speed, accessibility, structured data, site architecture, URL structure, metadata, internal linking, sitemaps, etc.
• Conduct regular SEO/SEM/GEO audits and competitive analyses, translating insights into prioritized, executable roadmaps.
• Deliver actionable performance insights and strategic recommendations through clear, visually compelling reports—communicating complex concepts in a concise and easy-to-understand manner
• Collaborate with cross-functional teams to incorporate SEO strategies and best practices.
• Optimize social search channels (e.g., YouTube, TikTok) to maximize brand and content visibility across the digital landscape.
• Define success metrics and translate SEO/SEM/GEO results to business objectives.

You Have:

• 10–15+ years of Search experience, including 5+ years leading high-performing Search teams across multiple accounts.
• Experience managing department-level staffing, resourcing and operations.
• Strong communication and data storytelling skills (written and verbal), with confidence presenting to executive clients and agency leadership.
• Deep expertise in SEO (technical + content + UX + measurement) and experience overseeing SEM strategy or managing large-budget paid search campaigns.
• Experience integrating paid and organic search strategies and workflows to reduce costs while maximizing key business outcomes.
• Proven track record of driving measurable performance improvements.
• Strong organizational and project management skills, with experience leading multiple workstreams, teams, and deadlines simultaneously.
• Experience with global brands and international SEO (multi-region, multi-language sites).
• Experience managing SEO strategies for large-scale website migrations and redesigns.
• Experience with GEO and AI search optimization for both AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Experience defining and documenting cross-disciplinary internal processes, playbooks, and best practices to improve search implementation and deliverable quality.
• Deep understanding of search algorithms and ranking factors across modern search ecosystems (traditional search, social search & AI search).
• Proficiency in 3rd party SEO/SEM tools such as SEMrush, BrightEdge, Ahrefs, Screaming Frog, and similar platforms.
• Proficiency in analytics and visualization tools such as Google Analytics, Looker Studio (Data Studio), Adobe Analytics, Google Search Console, Tableau, etc.
• Experience with GEO/AI search tracking tools such as Profound, BlueFish, BrightEdge AI Catalyst, or similar solutions.
• Strong analytical skills, with the ability to interpret data, identify trends, and make data-driven decisions.
• Strong Excel skills (pivot tables, VLOOKUP/XLOOKUP, large datasets) and experience analyzing and reporting on performance data.
• Experience developing and executing search-driven content strategies that improve visibility, traffic, engagement, and conversion.
• Experience testing and leveraging AI to improve search workflows, efficiencies, and quality.
• A proactive, self-starter attitude and a passion for staying current in a rapidly evolving digital landscape.

*Please note, the pay range noted below is hourly*

As VP of Search, you’ll set the vision and direction for our global Search practice—leading best-in-class SEO, SEM, and Generative Engine Optimization (GEO) strategies across a diverse portfolio of clients and regions. You are the global leader and point of contact for Search within the agency, responsible for practice leadership, quality standards, capability growth, and operational excellence.

You’ll translate the evolving search landscape—including AI-powered discovery (AI Overviews, LLMs, and “answer engines”)—into actionable strategies, scalable frameworks, and measurable business outcomes. You balance executive-level client counsel with hands-on strategic depth, while building and sustaining a high-performing global team through strategic talent planning, staffing, and resourcing.

You’ll play a pivotal role in expanding our Search services and capabilities and helping our clients achieve top-tier performance. You define what great looks like, ensure we deliver it consistently, and evolve our offering to keep CM at the forefront of the industry.

*This is a one-year contract opportunity*

You Will: 

Practice leadership & operations

• Serve as the discipline lead and global point of contact for the Search practice—representing CM’s Search capabilities across agency leadership, cross-functional partners, and the broader Omnicom network.
• Define and lead the agency-wide vision for best-in-class SEO, SEM, and GEO—developing strategic POVs, frameworks, and standardized processes across regions and accounts.
• Act as a strategic thought leader, innovator, and champion for the role of search across the modern digital ecosystem.
• Spearhead and deliver educational Search presentations, developing internal slideware to keep other disciplines updated on search news, trends, best practices, and “what it means for your clients” opportunities.
• Own staffing strategy and resourcing across the global Search practice and client portfolio, partnering with Operations and account leaders to forecast needs, allocate talent, and address coverage gaps proactively.
• Lead administrative and operational oversight for the discipline (e.g., capacity planning, utilization, role mix, and scalable delivery models, performance reviews, capability roadmaps).

Client leadership & business growth

• Act as the executive Search lead for priority accounts, guiding senior stakeholders and ensuring Search programs align to business objectives, scope and measurable outcomes.
• Lead the creation, definition, execution, and optimization of holistic search strategies (SEO + SEM + GEO), including multi-year roadmaps.
• Proactively drive new business growth—shaping offerings, scoping work, mapping pricing/LOEs, supporting new business pitches, and identifying organic growth opportunities.
• Communicate complex search concepts and performance narratives in a concise, compelling, executive-ready manner, transforming search data insights into strategic opportunities.

Innovation, AI search & future-proofing

• Lead and implement AI Search Optimization / GEO strategies, ensuring clients are discoverable across AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Build frameworks and processes to systematically track and improve search performance, including GEO visibility metrics, attribution impacts, and content/technical readiness.
• Keep the agency ahead of search shifts (AI/ML automation, SERP changes, visual/voice/social search) and translate those shifts into new service offerings.

Strategy & execution

• Utilize cross-channel search data to understand user intent, shape content strategy, and identify business opportunities.
• Advise on technical website development to maximize indexability and visibility, including JavaScript SEO and accessibility considerations for both users and LLM crawlers.
• Define search-driven guidelines and requirements for content, page speed, accessibility, structured data, site architecture, URL structure, metadata, internal linking, sitemaps, etc.
• Conduct regular SEO/SEM/GEO audits and competitive analyses, translating insights into prioritized, executable roadmaps.
• Deliver actionable performance insights and strategic recommendations through clear, visually compelling reports—communicating complex concepts in a concise and easy-to-understand manner
• Collaborate with cross-functional teams to incorporate SEO strategies and best practices.
• Optimize social search channels (e.g., YouTube, TikTok) to maximize brand and content visibility across the digital landscape.
• Define success metrics and translate SEO/SEM/GEO results to business objectives.

You Have:

• 10–15+ years of Search experience, including 5+ years leading high-performing Search teams across multiple accounts.
• Experience managing department-level staffing, resourcing and operations.
• Strong communication and data storytelling skills (written and verbal), with confidence presenting to executive clients and agency leadership.
• Deep expertise in SEO (technical + content + UX + measurement) and experience overseeing SEM strategy or managing large-budget paid search campaigns.
• Experience integrating paid and organic search strategies and workflows to reduce costs while maximizing key business outcomes.
• Proven track record of driving measurable performance improvements.
• Strong organizational and project management skills, with experience leading multiple workstreams, teams, and deadlines simultaneously.
• Experience with global brands and international SEO (multi-region, multi-language sites).
• Experience managing SEO strategies for large-scale website migrations and redesigns.
• Experience with GEO and AI search optimization for both AI Overviews and LLMs (ChatGPT, Perplexity, Gemini, AI Mode, etc.).
• Experience defining and documenting cross-disciplinary internal processes, playbooks, and best practices to improve search implementation and deliverable quality.
• Deep understanding of search algorithms and ranking factors across modern search ecosystems (traditional search, social search & AI search).
• Proficiency in 3rd party SEO/SEM tools such as SEMrush, BrightEdge, Ahrefs, Screaming Frog, and similar platforms.
• Proficiency in analytics and visualization tools such as Google Analytics, Looker Studio (Data Studio), Adobe Analytics, Google Search Console, Tableau, etc.
• Experience with GEO/AI search tracking tools such as Profound, BlueFish, BrightEdge AI Catalyst, or similar solutions.
• Strong analytical skills, with the ability to interpret data, identify trends, and make data-driven decisions.
• Strong Excel skills (pivot tables, VLOOKUP/XLOOKUP, large datasets) and experience analyzing and reporting on performance data.
• Experience developing and executing search-driven content strategies that improve visibility, traffic, engagement, and conversion.
• Experience testing and leveraging AI to improve search workflows, efficiencies, and quality.
• A proactive, self-starter attitude and a passion for staying current in a rapidly evolving digital landscape.

Director of User Experience

As Director of User Experience, you're the rare leader who thinks like both a strategist and an artist. You speak fluent UX—information architecture, research, usability—but you also speak design—visual systems, motion, art direction. And increasingly, you speak AI: architecting conversational interfaces, exploring vibe-coded experiences, leveraging machine learning to create next-gen user experiences. You understand that great design extends beyond owned platforms—into the interfaces you design within third-party and media channels where you partner to maximize user engagement. You're looking to build and lead a team of UX and Product Designers who are equally fired up about creating experiences that are strategically sound, visually stunning, and genuinely innovative.

You juggle multiple complex projects without breaking a sweat, pivoting between high-level strategy sessions and detailed design feedback. You're the collaborator who bridges disciplines—connecting research to design, design to development, and all of it to business outcomes. You thrive in fast-paced environments, champion the user's voice against competing agendas, and mentor your team with the same rigor you apply to your own work. This role demands someone energized by the full spectrum of design—from wireframe to final pixel.

You Will:

• Lead a multi-disciplinary team of UX and Product Designers to build and test user interface and product experiences that meet or exceed customer and stakeholder expectations.
• Guide and mentor UX and product design team members through delegating, follow-up, and coaching.
• Champion the user's perspective, appropriately challenging senior stakeholders when user goals are compromised, and ensure all UX and design deliverables demonstrate visual excellence and interaction elegance.
• Build and maintain strong relationships with creative teammates, account managers, strategists, content strategists, marketing science, and producers.
• Act as an account lead, effectively visualizing and verbalizing design ideas to clients through compelling presentations and narratives.
• Facilitate design and brainstorming workshops with internal teams and clients, synthesizing diverse perspectives into cohesive design direction.
• Partner with media teams and platforms to design compelling interface experiences across owned and third-party touchpoints, maximizing impact in the interface layer of social, advertising, and external platforms.
• Lead the integration of AI design principles and tools into projects—from AI-assisted design workflows to architecting AI Agent interfaces and conversational experiences that feel natural and intuitive.
• Develop and champion AI-influenced user experiences that leverage machine learning, predictive personalization, and intelligent automation while maintaining user agency and trust—including emerging paradigms like vibe-coded interfaces where tone and personality drive interaction design.
• Oversee multiple high-visibility client projects, effectively pivoting between focus areas as needed.
• Collaborate with leadership and creative leads to define, manage, and evolve the vision for the UX and Product Design discipline.
• Lead recruiting and resourcing efforts while cultivating an effective team with diverse skill sets (UX research, visual design, interaction design, front-end development).
• Coach direct reports to maximize their impact, professional development, and contribution to project and agency success while helping define and promote team culture.
• Embody agency leadership values and promote culture in all interactions (internally and externally).
• Demonstrate advanced working knowledge across visual design, art direction, motion design, front-end development, brand strategy, content strategy, and AI/machine learning principles.
• Be recognized throughout the agency as a UX and Product Design leader sought after for strategic input.
• Represent the agency as an ambassador at industry conferences and meetings, particularly around emerging AI design practices.
• Contribute UX and Product Design expertise to business development and sales initiatives.

You Have:

• 6-8+ years of related industry experience in UX, Product Design, Visual Design, Digital Product, new media, information technology, communications, or adjacent creative disciplines.
• 3+ years' experience in a supervisory/management role leading UX/Design teams.
• Demonstrated expertise in both UX/Product Strategy AND visual design/art direction—with a portfolio showing strong visual design sensibility across both disciplines.
• Experience designing and optimizing user experiences across owned and third-party platforms, including social media, advertising platforms, and external partner interfaces.
• Proven experience designing with AI in mind: both leveraging AI and machine learning as design tools and creating next-generation user experiences powered by AI.
• Familiarity with AI Agent design patterns, conversational interfaces, and emerging paradigms like vibe-coded experiences.
• A strategic and creative mindset, thriving at the intersection of data, design, art, and technology.
• Exceptional storytelling and communication skills (verbal, written, and visual).
• Excellent collaboration and interpersonal skills with strong client relations and team environment comfort.
• Proven track record leading cross-level teams and delivering excellent user experiences for leading brands.
• An experienced, innovative, and forward-thinking approach to large-scale projects from concept to completion.
• Thorough, detail-oriented, and highly organized, with the ability to manage multiple projects and meet tight deadlines.
• Flexibility and adaptability in fast-paced, changing environments.
• Deep understanding of UX fundamentals including research, information architecture, usability testing, and their application to compelling digital experiences.
• Advanced proficiency in design and prototyping tools (Figma, Adobe XD, Sketch, InVision, Principle, Axure).
• Strong expertise across the Adobe Creative Suite, particularly for visual design, motion design, and art direction.
• Experience with AI-assisted design tools and workflows.
• Portfolio demonstrating creative problem-solving, visual excellence, and expertise across digital platforms, with demonstrated knowledge of design systems, accessibility, personalization, and emerging AI-driven systems.
• Familiarity with WCAG 2.0 A/AA standards and accessibility best practices.

What We Offer:

• Global maternity and parental leave 
• Competitive benefits packages 
• Vacation, compassionate leave, wellness days, and flex days 
• Access to online services for families and new parents
• Early Dismissal Friday’s (off at 3:00 PM local time every Friday) 
• Diversity and Inclusion Board with 13 affinity groups 
• Internal learning and development programs 
• Enterprise-wide employee discounts 

Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.

We are looking to add Freelance Lead User Experience Designers to our Talent Roster for quick turnaround, shorter-term project engagements!

As Lead User Experience Designer, you're the rare leader who thinks like both a strategist and an artist. You speak fluent UX—information architecture, research, usability—but you also speak design—visual systems, motion, art direction. And increasingly, you speak AI: architecting conversational interfaces, exploring vibe-coded experiences, leveraging machine learning to create next-gen user experiences. You understand that great design extends beyond owned platforms—into the interfaces you design within third-party and media channels where you partner to maximize user engagement. You're looking to build and lead a team of UX and Product Designers who are equally fired up about creating experiences that are strategically sound, visually stunning, and genuinely innovative.

You juggle multiple complex projects without breaking a sweat, pivoting between high-level strategy sessions and detailed design feedback. You're the collaborator who bridges disciplines—connecting research to design, design to development, and all of it to business outcomes. You thrive in fast-paced environments, champion the user's voice against competing agendas, and mentor your team with the same rigor you apply to your own work. This role demands someone energized by the full spectrum of design—from wireframe to final pixel.

You will:

• Lead a multi-disciplinary team of UX and Product Designers to build and test user interface and product experiences that meet or exceed customer and stakeholder expectations.
• Guide and mentor UX and product design team members through delegating, follow-up, and coaching.
• Champion the user's perspective, appropriately challenging senior stakeholders when user goals are compromised, and ensure all UX and design deliverables demonstrate visual excellence and interaction elegance.
• Build and maintain strong relationships with creative teammates, account managers, strategists, content strategists, marketing science, and producers.
• Act as an account lead, effectively visualizing and verbalizing design ideas to clients through compelling presentations and narratives.
• Facilitate design and brainstorming workshops with internal teams and clients, synthesizing diverse perspectives into cohesive design direction.
• Partner with media teams and platforms to design compelling interface experiences across owned and third-party touchpoints, maximizing impact in the interface layer of social, advertising, and external platforms.
• Lead the integration of AI design principles and tools into projects—from AI-assisted design workflows to architecting AI Agent interfaces and conversational experiences that feel natural and intuitive.
• Develop and champion AI-influenced user experiences that leverage machine learning, predictive personalization, and intelligent automation while maintaining user agency and trust—including emerging paradigms like vibe-coded interfaces where tone and personality drive interaction design.
• Oversee multiple high-visibility client projects, effectively pivoting between focus areas as needed.
• Collaborate with leadership and creative leads to define, manage, and evolve the vision for the UX and Product Design discipline.
• Lead recruiting and resourcing efforts while cultivating an effective team with diverse skill sets (UX research, visual design, interaction design, front-end development).
• Coach direct reports to maximize their impact, professional development, and contribution to project and agency success while helping define and promote team culture.
• Embody agency leadership values and promote culture in all interactions (internally and externally).
• Demonstrate advanced working knowledge across visual design, art direction, motion design, front-end development, brand strategy, content strategy, and AI/machine learning principles.
• Be recognized throughout the agency as a UX and Product Design leader sought after for strategic input.
• Represent the agency as an ambassador at industry conferences and meetings, particularly around emerging AI design practices.
• Contribute UX and Product Design expertise to business development and sales initiatives.

You have:

• 6-8+ years of related industry experience in UX, Product Design, Visual Design, Digital Product, new media, information technology, communications, or adjacent creative disciplines.
• 3+ years' experience in a supervisory/management role leading UX/Design teams.
• Demonstrated expertise in both UX/Product Strategy AND visual design/art direction—with a portfolio showing strong visual design sensibility across both disciplines.
• Experience designing and optimizing user experiences across owned and third-party platforms, including social media, advertising platforms, and external partner interfaces.
• Proven experience designing with AI in mind: both leveraging AI and machine learning as design tools and creating next-generation user experiences powered by AI.
• Familiarity with AI Agent design patterns, conversational interfaces, and emerging paradigms like vibe-coded experiences.
• A strategic and creative mindset, thriving at the intersection of data, design, art, and technology.
• Exceptional storytelling and communication skills (verbal, written, and visual).
• Excellent collaboration and interpersonal skills with strong client relations and team environment comfort.
• Proven track record leading cross-level teams and delivering excellent user experiences for leading brands.
• An experienced, innovative, and forward-thinking approach to large-scale projects from concept to completion.
• Thorough, detail-oriented, and highly organized, with the ability to manage multiple projects and meet tight deadlines.
• Flexibility and adaptability in fast-paced, changing environments.
• Deep understanding of UX fundamentals including research, information architecture, usability testing, and their application to compelling digital experiences.
• Advanced proficiency in design and prototyping tools (Figma, Adobe XD, Sketch, InVision, Principle, Axure).
• Strong expertise across the Adobe Creative Suite, particularly for visual design, motion design, and art direction.
• Experience with AI-assisted design tools and workflows.
• Portfolio demonstrating creative problem-solving, visual excellence, and expertise across digital platforms, with demonstrated knowledge of design systems, accessibility, personalization, and emerging AI-driven systems.
• Familiarity with WCAG 2.0 A/AA standards and accessibility best practices.

We are looking to add Freelance Lead User Experience Designers to our Talent Roster for quick turnaround, shorter-term project engagements!

As Lead User Experience Designer, you're the rare leader who thinks like both a strategist and an artist. You speak fluent UX—information architecture, research, usability—but you also speak design—visual systems, motion, art direction. And increasingly, you speak AI: architecting conversational interfaces, exploring vibe-coded experiences, leveraging machine learning to create next-gen user experiences. You understand that great design extends beyond owned platforms—into the interfaces you design within third-party and media channels where you partner to maximize user engagement. You're looking to build and lead a team of UX and Product Designers who are equally fired up about creating experiences that are strategically sound, visually stunning, and genuinely innovative.

You juggle multiple complex projects without breaking a sweat, pivoting between high-level strategy sessions and detailed design feedback. You're the collaborator who bridges disciplines—connecting research to design, design to development, and all of it to business outcomes. You thrive in fast-paced environments, champion the user's voice against competing agendas, and mentor your team with the same rigor you apply to your own work. This role demands someone energized by the full spectrum of design—from wireframe to final pixel.

You will:

• Lead a multi-disciplinary team of UX and Product Designers to build and test user interface and product experiences that meet or exceed customer and stakeholder expectations.
• Guide and mentor UX and product design team members through delegating, follow-up, and coaching.
• Champion the user's perspective, appropriately challenging senior stakeholders when user goals are compromised, and ensure all UX and design deliverables demonstrate visual excellence and interaction elegance.
• Build and maintain strong relationships with creative teammates, account managers, strategists, content strategists, marketing science, and producers.
• Act as an account lead, effectively visualizing and verbalizing design ideas to clients through compelling presentations and narratives.
• Facilitate design and brainstorming workshops with internal teams and clients, synthesizing diverse perspectives into cohesive design direction.
• Partner with media teams and platforms to design compelling interface experiences across owned and third-party touchpoints, maximizing impact in the interface layer of social, advertising, and external platforms.
• Lead the integration of AI design principles and tools into projects—from AI-assisted design workflows to architecting AI Agent interfaces and conversational experiences that feel natural and intuitive.
• Develop and champion AI-influenced user experiences that leverage machine learning, predictive personalization, and intelligent automation while maintaining user agency and trust—including emerging paradigms like vibe-coded interfaces where tone and personality drive interaction design.
• Oversee multiple high-visibility client projects, effectively pivoting between focus areas as needed.
• Collaborate with leadership and creative leads to define, manage, and evolve the vision for the UX and Product Design discipline.
• Lead recruiting and resourcing efforts while cultivating an effective team with diverse skill sets (UX research, visual design, interaction design, front-end development).
• Coach direct reports to maximize their impact, professional development, and contribution to project and agency success while helping define and promote team culture.
• Embody agency leadership values and promote culture in all interactions (internally and externally).
• Demonstrate advanced working knowledge across visual design, art direction, motion design, front-end development, brand strategy, content strategy, and AI/machine learning principles.
• Be recognized throughout the agency as a UX and Product Design leader sought after for strategic input.
• Represent the agency as an ambassador at industry conferences and meetings, particularly around emerging AI design practices.
• Contribute UX and Product Design expertise to business development and sales initiatives.

You have:

• 6-8+ years of related industry experience in UX, Product Design, Visual Design, Digital Product, new media, information technology, communications, or adjacent creative disciplines.
• 3+ years' experience in a supervisory/management role leading UX/Design teams.
• Demonstrated expertise in both UX/Product Strategy AND visual design/art direction—with a portfolio showing strong visual design sensibility across both disciplines.
• Experience designing and optimizing user experiences across owned and third-party platforms, including social media, advertising platforms, and external partner interfaces.
• Proven experience designing with AI in mind: both leveraging AI and machine learning as design tools and creating next-generation user experiences powered by AI.
• Familiarity with AI Agent design patterns, conversational interfaces, and emerging paradigms like vibe-coded experiences.
• A strategic and creative mindset, thriving at the intersection of data, design, art, and technology.
• Exceptional storytelling and communication skills (verbal, written, and visual).
• Excellent collaboration and interpersonal skills with strong client relations and team environment comfort.
• Proven track record leading cross-level teams and delivering excellent user experiences for leading brands.
• An experienced, innovative, and forward-thinking approach to large-scale projects from concept to completion.
• Thorough, detail-oriented, and highly organized, with the ability to manage multiple projects and meet tight deadlines.
• Flexibility and adaptability in fast-paced, changing environments.
• Deep understanding of UX fundamentals including research, information architecture, usability testing, and their application to compelling digital experiences.
• Advanced proficiency in design and prototyping tools (Figma, Adobe XD, Sketch, InVision, Principle, Axure).
• Strong expertise across the Adobe Creative Suite, particularly for visual design, motion design, and art direction.
• Experience with AI-assisted design tools and workflows.
• Portfolio demonstrating creative problem-solving, visual excellence, and expertise across digital platforms, with demonstrated knowledge of design systems, accessibility, personalization, and emerging AI-driven systems.
• Familiarity with WCAG 2.0 A/AA standards and accessibility best practices.

• Own end-to-end execution of high-visibility, multi-team technical initiatives aligned to company goals.
• Translate ambiguous business objectives into clear program structures with defined milestones, sequencing, dependencies, and measurable outcomes.
• Drive alignment across engineering, product, security, data, and go-to-market stakeholders.
• Ensure programs deliver business impact—not just feature completion.

• Establish durable program governance frameworks and operating cadences (e.g., planning reviews, milestone tracking, risk reviews, QBR inputs).
• Create standardized health reporting with clear leading and lagging indicators.
• Improve planning accuracy, release predictability, and cross-team dependency management.
• Identify and eliminate systemic execution bottlenecks.

• Proactively identify technical, organizational, and sequencing risks.
• Develop mitigation plans with clear ownership and timelines.
• Escalate effectively with context, trade-offs, and decision recommendations.
• Protect customer impact, release quality, and business commitments.

• Define program success criteria tied to measurable business outcomes (e.g., reliability, performance, customer experience, efficiency, revenue enablement).
• Use data to monitor progress and course-correct early.
• Deliver clear, concise, executive-ready written updates.
• Ensure leadership has visibility into program health, risks, and required decisions.

• Partner closely with Engineering Directors, Product Leaders, and cross-functional stakeholders.
• Resolve cross-team ambiguity and clarify accountability boundaries.
• Mentor and elevate other TPMs through best practice sharing.
• Contribute to continuous improvement of the TPM operating model.

• Successful delivery of one or more company-critical initiatives with measurable business impact.
• Increased predictability and transparency in program execution.
• Clear and standardized reporting mechanisms adopted by leadership.
• Reduced cross-team friction and improved delivery velocity.
• Strong executive trust in your judgment and escalation quality.
• Durable mechanisms that scale beyond a single initiative.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field required.
• 8–12+ years of experience leading large-scale technical programs in SaaS or platform environments.
• Demonstrated experience operating at Staff-level scope across multiple engineering teams.
• Strong technical foundation with ability to understand system architecture, APIs, distributed systems concepts, data flows, and engineering trade-offs.
• Proven ability to influence senior stakeholders without direct authority.
• Exceptional written and verbal communication skills, including narrative-style executive documentation.
• Strong analytical and structured problem-solving capabilities.

• Advanced degree (MS or MBA) is a plus.
• Experience in multi-product SaaS platforms or ecosystem-based software companies.
• Experience supporting AI/ML initiatives, large integrations, or platform transformations.
• Experience building and scaling operational mechanisms in complex organizations.
• Familiarity with scaled Agile or other modern product development methodologies.

• Operate independently with minimal oversight.
• Take full ownership of ambiguous, high-risk, cross-organizational initiatives.
• Anticipate second- and third-order impacts of technical and sequencing decisions.
• Challenge assumptions constructively and influence roadmap trade-offs when necessary.
• Think in mechanisms and systems—not one-time execution fixes.
• Raise the bar on execution standards across the organization.

ZoomInfo is how businesses go to market (GTM) and we’re on a mission to modernize go-to-market for everyone. Powered by real-time data and insights, our unified GTM intelligence platform helps sales and marketing teams find, acquire, and grow customers. You will lead a team of talented designers, engineers, marketers, and analysts to help build the best product, enabling our customers to unlock insights, engage customers, and win faster.

We're seeking a Principal Product Manager to lead the transformation of ZoomInfo's apps for the era of AI agents and generative AI. In this role, you'll reimagine how go-to-market teams—across sales, marketing, and customer success—discover, engage, and convert their target audiences by leveraging cutting-edge AI technologies to create intelligent, autonomous workflows that power the full revenue lifecycle.

Why ZoomInfo

• Unmatched Data Moat: You’ll build AI on top of the biggest context graph in enterprise - 600+ million contacts, 100m+ companies, 1.5 billion signals. The kind of proprietary foundation that makes AI actually work at scale.
• This Is the Bet: AI is not a side initiative here. It's central to the company's next chapter, with executive sponsorship, dedicated AI/ML engineering teams, and real investment behind it.
• Ship Fast, Learn Fast: We operate with a builder's mentality — rapid experimentation, short feedback loops, and a culture that rewards velocity and iteration over perfection.
• Greenfield Opportunity: You won't be maintaining legacy features. You'll be defining entirely new AI-native experiences for the GTM category, with the autonomy to shape what gets built and how.

What You'll Do

• Own the AI Product Lifecycle: Drive AI-native products from ideation through launch and iteration, leveraging generative AI, autonomous agents, and LLMs.
• Set Vision and Roadmap: Define a compelling vision for how AI agents will reshape GTM workflows and translate it into a strategic, aligned roadmap.
• Engage Customers: Partner with sales, marketing, and CS users to identify where AI-driven automation delivers the most value.
• Measure What Matters: Define and track AI-centric metrics—agent task completion, model accuracy, automation rates—and turn insights into action using tools like Amplitude and Tableau.
• Champion the User: Ensure AI capabilities solve real user problems, not just showcase technical possibilities.
• Lead Cross-Functionally: Rally engineers, AI/ML specialists, designers, and GTM teams to ship intelligent, best-in-class experiences.
• Align Stakeholders: Communicate AI product strategy clearly and compellingly to executives and cross-functional partners through regular written updates.

What You’ll Bring:

• AI Builder at Heart: You don't just manage AI products — you build with them. You vibe code prototypes on weekends, tinker with the latest AI tools for fun, and have a graveyard of side projects to prove it. That hands-on instinct makes you a better PM and a more credible partner to engineering and design.
• AI-Native Mindset: You've built products using LLMs, autonomous agents, and generative AI — and AI is woven into how you think, work, and solve problems. You stay current on emerging capabilities and know how to translate the latest AI advancements into real product value for users.
• GTM Fluency: You know how sales, marketing, and customer success teams actually work — their workflows, tools, metrics, and pain points. You can walk into a room of revenue leaders and immediately earn credibility.
• UX Obsession: You believe AI is only as good as the experience it enables. You have a sharp eye for design and a bias toward simplicity — making complex, intelligent capabilities feel effortless to the end user.

What Does Success Look Like:

• Ship AI-native GTM products: Build on ZoomInfo's context graph and agent platform that don't just keep pace with the competition — they redefine the category.
• Change How People Work: The products you build make GTM professionals measurably more effective. Users don't just adopt them — they can't imagine going back.
• Drive Revenue Impact: Your products aren't science projects. They generate real, measurable revenue growth — through new customer acquisition, expansion, and retention.

How We Work:

• Be Relentless. We will be relentless: when we deliver value to clients; when we compete; when we run into difficult problems. We will outpace and outcompete our competition. We are smart, clever, and resourceful in everything we do. Competing with us for the same customers will be a daunting experience.
• Be Entrepreneurs. Entrepreneurs hustle, move fast, take ownership, they have autonomy, and make decisions. They are accountable, but they do not operate in fear, they aren’t afraid to fail. They are resilient, resourceful, and solutions-oriented - even when conditions say otherwise. We will entrust, and expect, our leadership and our teams to operate as entrepreneurs.
• Be Experts. Winning for our customers requires that we understand them deeply. Winning for our business requires us to be experts in our domain areas. Great companies solve complex and costly problems for their customers - you can’t do this without being an expert in your customers’ day to day workflow. We will demand this level of customer and business expertise from everyone at the company.
• Be Innovators. Innovating is who we are, it is how we have gotten here. But not just with our product and how we define what GTM means for the future. We innovate to be leaner and more efficient in the way we operate, we will find ways to drive outcomes no one thought were possible - from marketing and lead generation to legal, finance, and procurement. Through innovation, we will set a new standard for how great companies operate with discipline.
• Be a Team. We can’t win if we act like a random assortment of siloed groups. We are one team, working together to win. We collaborate and lean in to help each other.

#LI-RB1  #LI-hybrid  #LI-remote

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen—fast.

The Opportunity

ZoomInfo has rebuilt around AI. We have the orchestration infrastructure, the tools platform, the intelligence layer. Now we need someone to turn that infrastructure into outcomes—someone who lives at the intersection of what's technically possible and what GTM teams actually need.

This role owns the agentic ecosystem: the core agents that power ZoomInfo's products, the Plays library that packages intelligence into deployable workflows, and the marketplace where customers discover, customize, and deploy automation. You'll build agents that book meetings, enrich pipelines, resurrect dead leads, and orchestrate multi-step GTM motions. Then you'll package them into Plays that non-technical users can deploy in clicks, not code.

You're not managing from the sidelines. You're building. You'll work in our Plays builder the way a RevOps leader works in their automation tools—hands-on, iterative, constantly shipping. You'll prototype agents, refine prompts, test orchestration patterns, and validate that what we build actually moves pipeline. When you identify a gap in what our agents can do, you'll partner with the tools and infrastructure teams to close it.

The marketplace you own is how ZoomInfo's agentic capabilities reach the world. Internal teams deploy your Plays across Copilot, GTM Studio, and MarketingOS. Customers browse, customize, and activate automation from your library. Partners and developers connect through MCP gateways you define. Every surface where ZoomInfo's agentic intelligence becomes accessible—you own it.

This is a rare role: part builder, part GTM strategist, part platform owner. You need to understand how SDR teams actually prospect, how marketing ops builds nurture flows, how CS teams identify expansion signals. Then you need to translate that understanding into agents and Plays that work reliably at scale. The infrastructure exists. The data exists. We need someone to turn it into the workflows that transform how GTM teams operate.

What You'll Do

Build Core Agents & Plays Design, build, and iterate on the agents and Plays that ship inside ZoomInfo's products. You'll work at multiple levels of abstraction: building agents from primitives when novel capabilities require it, composing existing agents into complex orchestrations, and packaging everything into Plays that non-technical users can deploy. This isn't spec-writing—you'll build in our Plays environment daily, testing what works and shipping what delivers.

Own the Plays Library Curate and expand ZoomInfo's library of pre-built GTM workflows. Identify high-value use cases through customer research, competitive analysis, and GTM intuition. Prioritize which Plays to build, define their logic and orchestration, validate they deliver measurable outcomes, and iterate based on adoption and performance data. The library is the product—its breadth, quality, and relevance determine whether customers see ZoomInfo as a data vendor or an automation platform.

Define the Marketplace Experience Own the customer-facing marketplace where users discover, evaluate, and deploy agentic workflows. Define the information architecture, discovery mechanisms, and activation flows that help users find the right Play for their use case. Balance curation with abundance—enough options to address diverse needs, enough guidance to prevent paralysis. Measure success through activation rates, time-to-value, and Play retention.

Translate GTM Expertise into Agentic Design The best agents encode deep understanding of the workflows they automate. Bring GTM operational expertise to agent design: How do top SDRs actually research accounts? What signals trigger effective outreach timing? How do marketing ops teams think about lead routing? Translate this knowledge into agent behaviors, Play logic, and orchestration patterns that feel like they were built by someone who's lived in RevOps.

Close the Loop with Platform Teams You're the voice of "what agents need to do" speaking to the teams building "what agents can do." When you discover that a critical GTM workflow requires a capability that doesn't exist, partner with the tools and infrastructure teams to prioritize it. When platform improvements unlock new possibilities, translate them into Plays that demonstrate value. You're the bridge between infrastructure leverage and customer outcomes.

What You'll Bring

• 6-15 years product management experience with 2+ years focused on GTM technology, workflow automation, or AI-powered products
• Direct experience building agentic workflows—you've shipped automation using tools like Relevance.ai, Lindy.ai, n8n, or similar no-code/low-code agent builders
• Hands-on familiarity with AI-assisted development (Claude Code, Cursor, or similar)—you prototype and build, not just specify
• Deep understanding of GTM operations: how sales, marketing, and success teams actually work, the tools they use, the metrics they track, the workflows they build
• Experience with complex workflow orchestration—multi-step, multi-system automation with branching logic, error handling, and human-in-the-loop patterns
• Track record shipping products where you personally built significant portions of the experience, not just managed engineers building it

Who You Are

Builder First You don't just write requirements—you build. You're comfortable in no-code workflow builders, and you reach for Claude Code or Cursor when you need to go deeper. You prototype to learn, ship to validate, and iterate based on what you discover. Your PRDs include artifacts you've built, not just wireframes someone else will implement.

GTM Operations Native You've lived in the world your users inhabit. You've built sequences in Outreach or Salesloft. You've configured lead routing in Salesforce or HubSpot. You've debugged why a Marketo program isn't firing. You understand the gap between how GTM workflows should work and how they actually work—the edge cases, the data quality issues, the human workarounds. This knowledge shapes every agent you design.

Agentic Workflow Intuition You understand what makes agents succeed or fail. You know how to write tool descriptions that guide reliable invocation. You've debugged orchestration flows where agents took unexpected paths. You think about failure modes, human oversight, and graceful degradation. You can look at a complex workflow and identify where it will break—then design around it.

Marketplace Product Sense You've thought about discovery, curation, and activation at scale. You understand that a library of 500 Plays is worthless if users can't find the right one. You think about information architecture, progressive disclosure, and the journey from "browsing" to "deployed and delivering value." You balance flexibility with guidance.

Customer Empathy with Technical Depth You can sit with a VP of Sales and understand their pipeline challenges, then translate that into agent specifications an ML engineer can build. You move fluidly between "we need to accelerate deal velocity" and "the agent needs to invoke the CRM lookup tool before the enrichment tool to avoid redundant API calls." You don't choose between business context and technical precision—you hold both.

Intellectual Curiosity The agentic landscape evolves weekly. You follow what's shipping—new agent frameworks, orchestration patterns, MCP developments, prompt engineering techniques. You try new tools not because it's your job but because you're genuinely curious about what's possible. You bring external learnings back to the team and challenge assumptions when better approaches emerge.

#LI-VC1

#LI-Hybrid

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

We are seeking an exceptional Chief of Staff for our Managing Director of AI—someone who combines strategic vision in AI with hands-on execution and technological know-how. You'll be both a force-multiplier and a transformation architect: designing AI-enabled processes, building automated engines that run independently, leading organizational rollouts, and ensuring crisp execution across our AI solutions practice.

This role goes beyond traditional Chief of Staff responsibilities. You'll design processes that leverage AI, build repeatable systems that scale, and lead entire client transformations from discovery to sustained adoption. You have the potential to grow into leading organizational-level AI implementations as the practice expands.

Key Responsibilities

Strategic & Executive Leadership

• Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
• Lead Human Agency's AI transformation methodology: define offerings, build repeatable frameworks, and establish best practices for AI-enabled workflows
• Design end-to-end processes that embed AI tools (LLMs, automation platforms, knowledge assistants) into client workflows and internal operations
• Translate complex AI capabilities into clear business cases, use cases, and implementation roadmaps for executive audiences
• Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions
• Identify where AI creates leverage across client engagements and surface strategic opportunities to leadership

AI Process Design & Automated Engines

• Design and build AI-powered systems that operate independently with minimal ongoing intervention—automated engines that scale beyond individual engagements
• Create repeatable processes for AI implementation: discovery frameworks, solution architectures, evaluation routines, and governance models
• Design prompts, playbooks, and knowledge bases optimized for reliability, consistency, and reusability across multiple clients
• Implement lightweight automation using no/low-code tools (Zapier, Make, Airtable) integrated with AI capabilities
• Establish monitoring and feedback loops that enable self-correcting, continuously improving systems
• Document patterns and best practices that can be deployed at scale

Client Service Delivery & Organizational Rollouts

• Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and sustained adoption
• Lead company-wide and client-wide AI adoption initiatives—managing stakeholder alignment, training, governance, and measurement across entire organizations
• Run comprehensive discovery to surface use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and clear acceptance criteria
• Coordinate solution build-outs with internal teammates and external partners: data/connectivity needs, tool selection, integration planning, prompt engineering, and rollout choreography
• Design change-management approaches that address skill gaps, cultural resistance, workflow disruption, and organizational readiness
• Partner with client leadership to sequence rollout phases, manage dependencies, and demonstrate ROI

Quality, Governance & Evaluation

• Set lightweight evaluation routines: accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles
• Establish prompt/playbook management, basic safety/guardrail checks, and UAT plans
• Build governance frameworks that enable responsible, scalable AI adoption across organizations
• Implement monitoring systems that track performance, usage, and business impact

Stakeholder Management & Enablement

• Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations
• Create comprehensive enablement materials: user guides, FAQs, training programs, and governance playbooks that empower client teams to operate AI systems independently
• Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality
• Present to executive audiences with clarity and confidence, addressing concerns about accuracy, security, and adoption

Operations & Project Management

• Design and continuously improve the operating system for AI work: intake → triage → prioritization → delivery → QA → launch → measurement
• Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack)
• Budget & scope control: track time against SOWs, flag changes early, manage vendors, and ensure on-budget delivery with clear documentation
• Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences

Communications & Reporting

• Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights
• Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions
• Contribute to Human Agency's AI thought leadership through documentation of best practices, case studies, and insights

Who You Are

Experience & Skills

• 5-7+ years in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery
• Demonstrated success leading multi-stakeholder projects and organizational change initiatives end-to-end (scope, timelines, budgets, risk, and change management)
• Deep AI fluency: hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; can shape prompts/playbooks, evaluate quality, and choose appropriate tools or vendors
• Strong understanding of AI capabilities and limitations, when to use AI, how to design for reliability, and how to manage risks responsibly
• Proven ability to design repeatable processes and systems that scale beyond individual projects
• Experience with no/low-code automation platforms (e.g., Zapier/n8n), knowledge bases, and modern AI tooling
• High proficiency with Google Workspace, Asana/Notion, Slack, and comfort with modern web and content tools; experience preparing polished executive documents and presentations
• Exceptional ability to translate complex technical concepts into clear business value for non-technical audiences
• Bonus: Experience leading organizational-level technology rollouts, background in management consulting, familiarity with responsible AI considerations (privacy, data handling, consent, bias mitigation), or experience in AI/ML product development

Mindset & Traits

• Builder and operator: You design systems that work without constant oversight, not just execute tasks
• Strategic and tactical: Comfortable setting vision while rolling up sleeves for hands-on implementation
• AI pragmatist: Excited about possibilities but grounded in what actually delivers measurable value
• Mission-driven; systems thinker with bias for action
• Clear, persuasive communicator who can influence executive stakeholders and earn trust through delivery
• Calm under pressure with excellent judgment about when to escalate vs. solve independently
• Able to hold strategic context while driving tactical execution across multiple concurrent engagements
• Intellectually curious with strong learning agility, you stay current on AI capabilities and translate findings into practical applications
• Comfortable operating in ambiguity and creating structure where none exists

Considerations

• Education: Bachelor's degree or equivalent experience; an advanced degree in business, technology, or a related field is a plus
• Ethics: Commitment to ethical practices and responsible AI (transparency, human oversight, privacy, bias mitigation)
• Travel: Regular (20–40%) for client activities, organizational rollouts, and events
• Location: Remote-friendly with preference for candidates in major tech hubs

Compensation

This role offers a competitive base salary with performance-based bonuses and potential equity participation. Final compensation will vary based on experience, performance, and location.

Why Join Human Agency

Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. This role offers the opportunity to shape how organizations integrate AI at scale, with clear pathways to increased leadership responsibility as our practice expands.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Overview

We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows.

This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders.

What You’ll Do

Lead AI Engineering Across GRC

Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence)
Partner with product, data, and platform teams to translate business problems into scalable AI systems

Stay Hands-On

• Contribute to architecture, code reviews, and critical path implementation
• Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.)
• Set engineering standards for performance, reliability, and cost efficiency

Build and Scale Teams

• Lead and mentor a high-performing team of AI/ML and software engineers
• Drive hiring, coaching, and career development
• Establish a culture of ownership, speed, and technical excellence

Drive Execution

• Deliver production-grade systems—not experiments
• Balance speed with rigor (security, privacy, compliance)
• Operate across multiple concurrent initiatives with clear prioritization

Communicate and Influence

• Act as a bridge between engineering and business stakeholders
• Clearly articulate trade-offs, risks, and outcomes to senior leadership
• Align cross-functional teams around shared goals and timelines

What We’re Looking For

Proven Builder

• 10+ years in software engineering, with recent hands-on coding experience
• Demonstrated track record of shipping production systems at scale
• Experience with modern AI/ML systems (LLMs, NLP, search, or data platforms)

Technical Depth

• Strong backend engineering skills (e.g., Python, Java, or similar)
• Experience with distributed systems, APIs, and cloud platforms (AWS/GCP/Azure)
• Familiarity with modern AI stacks (e.g., vector search, embeddings, model serving, agent frameworks)

Leadership with Credibility

• Experience leading engineering teams while remaining technically engaged
• Ability to earn trust with senior engineers and challenge them constructively

Strong Communicator

• Can simplify complex technical concepts for non-technical stakeholders
• Comfortable operating at both executive and implementation levels

Execution-Oriented

• Bias for action; thrives in fast-moving, ambiguous environments
• Focused on delivering measurable business impact—not just technical output

Nice to Have

• Experience in GRC, fintech, or regulated environments
• Exposure to FedRAMP or similar compliance frameworks
• Background in building AI-powered products (not just research)

Why This Role

• Direct influence on how AI transforms core GRC workflows
• Opportunity to define and scale AI-native systems across the platform
• High visibility with senior leadership and business stakeholders
• Build real products used by customers, not internal experiments

Product Manager - Computer Vision & Data Products (Canada, Remote)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of identifying and managing risk continue to provide an incomplete solution to these threats.

ZestyAI uses novel data gathering and machine learning approaches to produce higher quality information about the risks to property from catastrophes like severe convective storms and wildfires. While AI alone may not be able to thwart these disasters, it can help communities around the world become more prepared for them, and ultimately that will lead to better outcomes for business and society.

As a Product Manager - Computer Vision and Data Products, you are an analytical thinker and passionate about working with complex data. You are a pacesetter who wants to deliver innovative products; you are organized, self-directed, committed to innovation, and possess outstanding EQ and communication skills. You will be crucial in operating the ZestyAI platform and delivering property characteristics and risk information to our clients. You thrive in a collaborative and creative environment that moves fast and are comfortable learning new skills, leveraging the latest AI tools, and working with unfamiliar technologies.

The Opportunity:

• Own the product and feature development lifecycle from inception to launch in the field of machine learning, large language models, and computer vision
• Build the analytics and model development roadmap of data and risk solutions by researching and analyzing various sources of information
• Discover and translate data into tractable data science questions and engineering specifications to guide strategic decision making
• Work closely with data scientists and software engineers as a key member of the product development team
• Act as the model owner and subject matter expert when interfacing with Regulators and Customers
• Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
• Work with our customers to understand complex workflows and pain points and find solutions to the problems

What You Bring to the ZestyAI Team:

• 3-6 years of work experience in analytics, data science, financial modeling, risk modeling, climate modeling or other relevant field

○  Including 1-2 years of Product Management experience, working with data products or model-based features such as actuarial risk model, climate risk model, credit risk model, search model, etc.

• Bachelor's or Master's in a quantitative field such as Engineering, Sciences, Commerce
• Outstanding communication skills, well-versed in building executive-style presentations
• Ability to manage multiple/competing priorities and deliver on time
• Comfortable leveraging AI tools to automate and accelerate everyday work (i.e. Claude Cowork)
• Proficient in SQL, Excel, Python
• Must be legally eligible to work in Canada

Nice to Have:

• Exposure to insurance, real estate, and risk modeling
• Experience working with computer vision models

Why ZestyAI:

• Be a part of a well-funded growth-stage start-up
• Work with a high-performance product team and cutting-edge development team
• Market competitive comp and equity incentives to give you a stake in our future
• Remote-first policy
• Flexible Time Off
• Comprehensive benefits package
• Home office setup stipend
• Annual Learning and Development allowance
• An upbeat and collaborative work culture
• Company-sponsored outings and offsites

About The Team 

Cerebras builds wafer-scale AI processors—single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras’ pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE, and NeurIPS) and directly influences the design of next-generation wafer-scale systems. 

About The Role 

Most AI research today is shaped by the constraints of existing hardware. This role starts from the other direction: what would you build if the architecture let you rethink the fundamentals? You will design and develop AI models and training methodologies on wafer-scale hardware, working at the level of optimization theory, model architecture, and statistical foundations rather than assembling existing components. 

The ATG sits at the intersection of AI, computational science, and computer architecture, and your work will draw on all three. You will collaborate closely with Cerebras’ ASIC, compiler, kernel, and AI teams as well as external partners at universities and national laboratories. 

What You Will Do 

• Design AI models and training methods from first principles, leveraging architectural properties of wafer-scale hardware that are unavailable on conventional platforms. 
• Investigate how techniques from computational science—numerical methods, PDE solvers, simulation—can inform and advance AI model design, and explore hybrid workflows that couple simulation and learning. 
• Develop a deep understanding of the hardware substrate and use it to guide algorithmic choices: model structure, optimization strategy, memory access patterns, numerical precision. 
• Publish findings and present at top-tier venues (NeurIPS, ICML, ICLR, etc.); represent Cerebras in the broader AI/ML research community. 
• Inform the design of future Cerebras hardware and software by identifying the computational patterns that matter most for next-generation AI workloads. 

What We Are Looking For 

• PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related quantitative field preferred; exceptional candidates without a graduate degree who demonstrate equivalent depth through published research, significant open-source contributions, or a strong industry track record are encouraged to apply. 
• Mathematical maturity: comfort with the theory behind gradient methods, loss landscapes, generalization, and the relationship between model structure and data statistics. 
• Track record of published research at top-tier AI or computational science venues. 
• Proficiency in Python and PyTorch; comfort with C or other low-level languages is a strong signal. 
• Excellent communication and interpersonal skills: able to present complex technical material to both ML and systems audiences, and to collaborate effectively in a fast-paced, small-team environment. 

Why This Opportunity Is Exciting And Unique 

• You will have direct access to hardware that changes what’s algorithmically possible. Tens of PB/s of memory bandwidth and fine-grained dataflow execution open design spaces that don’t exist on GPU clusters. 
• You will work alongside researchers in computational science, computer architecture, and performance engineering. The synthesis across these fields is central to ATG’s approach. 
• Your research will influence silicon - ATG’s findings directly shape the design of future Cerebras chips and systems. 

We are hiring for multiple positions across experience levels. If this work resonates, we encourage you to apply. 

About The Team 

Cerebras builds wafer-scale AI processors—single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras’ pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE, and NeurIPS) and directly influences the design of next-generation wafer-scale systems. 

About The Role 

We are seeking Compiler Engineers to join a small team of specialists working on our emerging Tungsten language compiler. Tungsten is Cerebras’ dataflow programming language, purpose-built for wafer-scale hardware. You will work on the Tungsten compiler from language design through code generation, building the toolchain that translates high-level intent into efficient execution across hundreds of thousands of cores with a memory and interconnect model unlike anything in conventional computing. 

This is not incremental work on an existing backend. The architecture is new, the programming model is new, and the compiler is where those two things meet. You will collaborate closely with Cerebras’ ASIC, kernel, and AI teams, and your design decisions will directly shape both the language and the hardware it targets. Beyond the compiler itself, the broader toolchain—runtime, debugger, simulator—is still being built, and we are equally interested in engineers who want to own those pieces of the developer experience on novel hardware. 

What You Will Do 

• Design and implement compiler passes across the Tungsten toolchain: mid-end optimization, backend code generation, instruction scheduling, register allocation, assembler, and linker. 
• Co-design language constructs that improve expressiveness and performance for dataflow execution on wafer-scale hardware. 
• Develop and iterate on code generation strategies for complex scientific and AI workloads, analyzing performance bottlenecks and closing the gap between peak and achieved throughput. 
• Extend the compiler to support future hardware architectures as they move from design to silicon. 
• Work directly with ASIC architects and application researchers to inform hardware-software co-design decisions. 

What We Are Looking For

• PhD in Computer Science or Computer Engineering preferred; exceptional candidates without a graduate degree who demonstrate equivalent depth through published research, significant open-source contributions, or a strong industry track record are encouraged to apply. 
• Substantial experience in compiler development: IR design, optimization passes, code generation, or backend implementation for novel or non-standard architectures. 
• Strong grasp of computer architecture: instruction sets, memory models, dataflow execution, and how hardware constraints shape compilation strategy. 
• Systems-level programming ability in C; comfort reasoning about performance at the instruction and memory-access level. 
• Ability to think about compilation as a design problem, not just an implementation task: you should have opinions about how language semantics, compiler IR, and hardware capabilities interact. 
• Excellent communication and interpersonal skills: able to work effectively in a small, fast-moving team where compiler, architecture, and application concerns are deeply intertwined. 

Valuable Assets 

• Experience with compilers for spatial, dataflow, or CGRA architectures where the compilation model diverges significantly from conventional CPU/GPU targets. 
• Exposure to ML compiler frameworks (MLIR, XLA, TVM) and understanding of how AI workloads map to hardware. 
• Experience with multi-dimensional data representations, tiling strategies, and vectorized operations. 
• Track record of published research or patents in compilers, programming languages, or architecture. 
• Experience building runtime systems, debuggers, or architecture simulators, particularly for non-standard hardware. 
• Understanding of parallel/distributed systems and cluster computing. 

Why This Opportunity Is Exciting And Unique 

• Build a compiler for hardware that doesn’t exist anywhere else. The architecture is the constraint and the opportunity. 
• Publish and open-source your research. We present at Supercomputing, SIAM, IEEE, NeurIPS, and beyond. 
• Work on the fastest AI system in the world, with direct access to the hardware your compiler targets. 
• Join at a pivotal moment: Cerebras is pre-IPO with strong commercial traction and rapid growth. 
• Be part of a small, technical team with high autonomy, minimal bureaucracy, and a culture that values depth over hierarchy. 

We are hiring for multiple positions across experience levels. If this work resonates, we encourage you to apply. 

About The Team 

Cerebras builds wafer-scale AI processors—single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras’ pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE, and NeurIPS) and directly influences the design of next-generation wafer-scale systems. 

About The Role 

We are seeking R&D Engineers to join Cerebras' Advanced Technology Group. You will design and implement workloads that establish new performance benchmarks on wafer-scale hardware, leveraging architectural features that no traditional platform offers. The 
scope ranges from large-scale scientific simulations to emerging AI/ML models, and the work sits at the intersection of algorithm design, compiler co-optimization, and hardware architecture. You will collaborate closely with Cerebras’ ASIC, compiler, kernel, and AI teams as well as external partners at universities and national laboratories. 

What You Will Do 

• Design and implement challenging scientific computing and AI workloads on Cerebras’ Wafer-Scale Engine, targeting performance results that advance the state of the art. 
• Lead algorithm–hardware co-design efforts with internal R&D teams and external research partners, turning architectural capabilities into measurable application-level advantages. 
• Build analytical performance models that quantify bottlenecks, guide optimization, and inform future chip and compiler design decisions. 
• Contribute to Cerebras’ multi-year technology roadmap by identifying high-impact workloads, proposing architectural experiments, and validating them on silicon. 
• Publish findings and present at top-tier conferences and journals; represent Cerebras in the broader HPC and AI research communities. 

What We Are Looking For 

• PhD in Computer Science, Engineering, Applied Mathematics, Physics, or a related quantitative field preferred. Exceptional candidates without a graduate degree who demonstrate equivalent depth through published research, significant open-source contributions, or a strong industry track record are encouraged to apply. 
• Deep experience in at least one of the following: computer architecture and accelerator design; parallel, distributed, or high-performance computing; numerical methods and scientific simulation; AI/ML theory and model design at a mathematical level. 
• Strong ability to analytically model and optimize the performance of complex systems and algorithms. 
• Track record of published research or patents in relevant venues. 
• Proficiency in C and Python; comfort working close to hardware. 
• Excellent communication and interpersonal skills: able to present complex technical material to both specialist and cross-functional audiences, and to collaborate effectively in a fast-paced, small-team environment. 

Areas Of Particular Interest 

We are hiring across several focus areas. Exceptional depth in one or more of the following is a strong signal: 

• Computational science: researchers who can bring insights from numerical methods and simulation into AI, or couple simulation and learning into joint computational workflows. Depth in hydrodynamics, solid mechanics, electromagnetics, molecular dynamics, or related PDE-based fields. 
• AI/ML foundations: deep understanding of model architecture, optimization methods, and their statistical underpinnings—the ability to design from first principles, not just apply established recipes. 
• Computer architecture: microarchitecture design, computing paradigms at the circuit and datapath level, memory hierarchy design. 
• Performance engineering: roofline modeling, bandwidth analysis, kernel optimization, communication-computation overlap, and compiler-level tuning for novel hardware. 

Why This Opportunity Is Exciting And Unique 

• Build on a fundamentally different architecture, unconstrained by GPU assumptions. 
• Publish and open-source your research. We present at Supercomputing, SIAM, IEEE, NeurIPS, and beyond. 
• Work on the fastest AI system in the world, with direct access to the hardware your compiler targets. 
• Join at a pivotal moment: Cerebras is pre-IPO with strong commercial traction and rapid growth. 
• Be part of a small, technical team with high autonomy, minimal bureaucracy, and a culture that values depth over hierarchy. 

We are hiring for multiple positions across experience levels. If this work resonates, we encourage you to apply.