Engineering

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

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our San Francisco 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

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

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.

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

Engineering

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

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our New York 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

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

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.

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

Engineering

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

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our Seattle 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

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

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.

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

Engineering

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

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

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

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 CAD - $300,000 CAD. 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.

The Asana Marketing team is responsible for fueling business growth and building a brand customers love. We create campaigns and content to attract new accounts and inspire current ones to grow with us. We continue to grow, with a global team focused on revenue and field marketing, product marketing, brand and content creation, advertising, and lifecycle marketing.

As our SEO Content Manager for NAMER, you will own the strategy and execution for keyword targeting, content library development, and organic visibility initiatives. You’ll work at the intersection of search strategy and content production, partnering closely with PMM, marketing, and web teams to ensure every piece of content earns its place in search. We are looking for a data-driven strategist to help us navigate the evolving landscape of AI-driven search and drive meaningful pipeline growth. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday.

What you’ll achieve

• Manage keyword targeting and opportunity analysis across NAMER markets, translating insights into clear content priorities.

• Optimize content for LLM retrieval and citation across AI search surfaces.

• Maintain and optimize the content library, including refresh cycles, consolidation, and performance improvements.

• Execute content-driven SEO initiatives, including brief creation, production, and AI-enhanced workflows for optimization.

• Drive off-site SEO strategy across reviews, forums, and community platforms in partnership with Customer Success.

• Track and report on content performance across organic and AI-driven search surfaces, tying efforts to traffic, conversions, and pipeline.

• Partner cross-functionally with PMM and Web teams to align content SEO strategy with broader business objectives.

About you

• 4+ years of SEO content strategy experience, specifically within the B2B SaaS industry.

• Deep understanding of keyword research, search intent, and how AI/LLMs are changing modern search dynamics.

• Proven experience managing large-scale content libraries and editorial calendars for SEO.

• Proficiency with SEO and AI tools to scale workflows and analysis.

• A data-driven mindset with the ability to tie SEO efforts to measurable business outcomes.

• Strong cross-functional communication skills and the ability to influence partners in marketing and product.

• 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.

For this role, the estimated base salary range is between 94,000 - 104,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process.

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.

#LI-Hybrid

Your role
As an analytics engineer, you’ll be an integral part of our data analysis and QA team, providing essential data support for our cutting-edge Agentic AI initiatives, specifically with ASR and NLP teams. A key focus will be on leveraging data analysis to identify and drive optimization of the conversational flows and underlying data infrastructure for agentic voice and chat solutions. You will actively seek opportunities to improve the team’s productivity and workflow through automation and process optimization, including implementing automated QA for our agentic systems.

This position reports to the manager of the Data Analysis and QA team and has the opportunity to be based in our Vancouver, Canada Office.

What you’ll do 

• You will work closely with other Agentic AI teams to test and evaluate our Agentic voice and chat solutions.
• You will design and implement data logging and monitoring strategies to capture key analytical insights.
• You will utilize data analysis to identify areas for optimization in the voice bot's conversational flows and data pipeline.
• You will build and maintain data pipelines on Vertex AI pipelines. 
• You will work closely with the AI Platform team to build tooling for data science projects. 
• You will implement automation and processes to improve our workflow. 
• You will create and maintain dashboards (Tableau) and data pipelines (Dataform) that help drive product and business decisions.
• You will contribute to our continuous efforts to enforce data privacy and compliance. 
• You will collaborate with cross-functional teams, including AI, engineering, and product teams.

Skills you’ll bring 

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or related fields.
• 1 - 3 years of working experience with software engineering or data engineering projects. 
• 1 - 3 years of experience with Python, working with GCP, including storage, BigQuery, Compute, Kubernetes, or similar.
• 1 - 3 years of experience with SQL, able to optimize complex SQL queries and build data pipelines. 
• Experience with BI tools such as Tableau. 
• Experience analyzing the performance of conversational AI systems (e.g., voice bots, chatbots) and collaborating with cross-functional teams (AI, Product) on data-driven improvements.
• Experience working with popular LLM frameworks.
• Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.

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

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

Position Overview

We are seeking a passionate and well-rounded candidate to join Diligent’s Platform Administration Services team. As part of this vital group, you will help design, build, and deliver the core services that power Diligent’s platform capabilities supporting our global product suite.  

The candidate will have the opportunity to learn and practice effective analysis, design, programming, and testing to produce and maintain scaled SaaS software solutions. The successful candidate will work as part of an established team used to working together to achieve excellent results. Our ideal candidate will be someone who is motivated, proactive and takes pride in their code. It's a 4-month program from September 2026 with the possibility of an extension for another term, depending on performance and mutual interest. 

Key Responsibilities:  

• Work as part of an agile Platform team and contribute to grooming user stories and ensuring work items are clear and testable.
• Develop and maintain an existing codebase.
• Take part in the team's ceremonies.
• Work on the team's backlog including planning, implementation, testing and release. 

Required Experience/Skills 

• Self-driven mindset and strong analytical skills.
• University-level programming coursework or comparable coding boot camp qualification.
• Looking for an education in programming and platform development
• Ability to work unsupervised for extended periods.
• Ability to be on-site in our Vancouver Office. 

Nice to Have Qualifications (not required): 

• Exposure to fullstack web applications including frontend and backend components.
• Exposure to AI tools (such as code assistants, AI debuggers, or design copilots) to enhance software development speed, quality, and creativity.
• Exposure to cloud environments (AWS, Azure, or GCP).
• Exposure to AI and LLM applications, including prompt engineering, RAG pipelines, or semantic search.
• Exposure with infrastructure-as-code, CI/CD pipelines, and observability practices.
• Passion for continuous learning and for exploring how AI can transform software engineering. 

We Take Care of Our Team 

• Continuous learning opportunities.
• Flexible work arrangements.
• Diversity & engagement programs, company events. 

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 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.

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.

The Opportunity

We're looking for a Senior Software Engineer to join our Web Data team and help build the next generation of ZoomInfo's web crawling and data extraction infrastructure.

This is a hands-on engineering role with high impact. You'll work alongside experienced engineers building large-scale crawling and extraction systems that process billions of pages. Your day-to-day will involve solving real distributed systems problems, writing production code, and shipping features that directly impact data quality across the platform.

You'll partner with a dedicated people manager who handles HR and administrative responsibilities, a product manager who connects business needs with technical work, and a senior manager who removes roadblocks and supports career growth. Your focus is on engineering execution, technical excellence, and collaboration.

What You'll Do

As a Senior Software Engineer, you'll contribute to enterprise-scale crawling and extraction platforms that process massive volumes of web data.

You will:

• Design and implement components of scalable, fault-tolerant web crawling and extraction pipelines
• Write clean, production-grade code in Java and Python
• Build and operate ETL/ELT pipelines for large-scale data extraction and transformation
• Work with cloud infrastructure on GCP and AWS, primarily on GKE
• Improve observability, reliability, and operational excellence across the systems you contribute to
• Partner with product and data science teams to deliver impactful solutions
• Contribute to code reviews, documentation, and knowledge sharing across the team
• Stay current with evolving web technologies, anti-crawling mechanisms, and AI-powered extraction approaches

Must-Have Qualifications

We're prioritizing strong software engineering fundamentals over deep crawling-specific experience. The right candidate is a great engineer first; the domain can be learned on the team.

Software Engineering Fundamentals

• 5+ years of professional software engineering experience building production systems
• Strong CS fundamentals: algorithms, data structures, concurrency, distributed systems
• Proficiency in Java and/or Python
• Track record of owning features end-to-end from design through deployment and operation
• Comfortable making sound architectural decisions at the component level

Data Engineering

• Hands-on experience with cloud data warehouses such as BigQuery or Snowflake
• Experience designing and operating large-scale ETL/ELT pipelines
• Experience with orchestration tools such as Apache Airflow
• Experience with streaming or event-driven systems such as Apache Kafka

Cloud and Infrastructure

• Production experience on GCP (preferred) or AWS; multi-cloud exposure is a plus
• Hands-on experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with infrastructure-as-code tooling such as Terraform

Background and Mindset

• Strong communicator who can explain technical decisions clearly
• Comfortable operating in ambiguity and iterating quickly
• Bias toward action and pragmatic problem solving
• Self-starter who thrives in fast-paced, evolving environments

Nice to Have

• Experience with web crawling at scale (Scrapy or similar frameworks)
• Familiarity with proxy infrastructure, rotation strategies, or anti-bot evasion techniques
• Experience in extracting structured and unstructured web data from diverse site architectures
• Knowledge of SERP (Search Engine Results Page) extraction
• Comfort with AI/LLM-based extraction approaches, applying language models to HTML at scale
• Experience working in a B2B data company or data-as-a-product environment

Core Technical Stack

• Java and Python
• Apache Kafka
• GCP (BigQuery, GKE, Vertex AI)
• Snowflake and Starburst/Trino
• Terraform
• Scrapy and web scraping frameworks
• Proxy management systems
• Distributed systems and Kubernetes
• Apache Airflow
• Large-scale ETL pipelines

Ideal Profile

• 5+ years of software engineering experience
• Experience operating systems that process meaningful volumes of data
• Strong CS fundamentals (algorithms, data structures, distributed systems)
• Excellent communicator who can explain complex ideas to diverse audiences
• Passion for solving hard problems and building elegant, scalable systems
• Self-starter who thrives in fast-paced, evolving environments
• Experience working in a B2B data company or data-as-a-product environment is a strong plus

Why This Role Matters

This role sits at the heart of ZoomInfo's data platform. You'll contribute to the infrastructure that powers our business intelligence products and help shape how web data acquisition is done at ZoomInfo, while working at a massive scale with cutting-edge technologies.

You'll be joining at a pivotal moment: the team is growing, the ambition is high, and there's a real opportunity to make a lasting impact and grow into deeper technical leadership over time.

#LI-AR2

#LI-REMOTE

You are a strong senior full-stack software engineer with a proven track record of shipping and operating production systems at scale. You bring strong technical judgment, a high bar for quality, and the ability to lead complex initiatives end to end. You are comfortable working across frontend and backend systems, influencing architecture, and guiding teams through ambiguity.

At Rival, AI is central to how we build and how our product evolves. In this role, you are expected to lead AI-enabled feature development, own AI-focused epics, and elevate the team’s capabilities in modern AI-assisted development and AI product delivery. You understand how modern web applications are designed, built, and deployed in cloud environments. You are comfortable operating within AWS-based systems and take ownership of the reliability, scalability, and maintainability of the software you deliver.

As a Senior Software Engineer at Rival, you will lead the design, development, and delivery of high-impact features across our product platform, with a strong emphasis on AI-enabled capabilities. You will own outcomes end to end, mentor engineers, strengthen engineering standards, and collaborate closely with Product, UX, QA, and stakeholders to deliver well-scoped, reliable, and scalable solutions.

Who are we? 

When you join Rival Group, you’re not just accelerating your career—you’re also helping shape the future of customer insights and market research.

We’re a forward-thinking, results-driven organization obsessed with helping innovative brands get closer to their customers in a way that feels fresh, organic, and fun. Rival Technologies, the tech arm of our business, is the world’s best conversational research platform and one of Vancouver’s fastest-growing tech companies. 🚀 Reach3 Insights, our consulting side, is an award-winning 🏆 market research agency with offices in Chicago, Toronto, and Vancouver. Together, we’re helping brands like Coca-Cola, Kellogg’s, Dell Technologies, REVOLT TV, and Roblox get better insights they can use to deliver better products, create more impactful marketing campaigns, and improve the end-to-end customer experience.

Our customers LOVE our tech and services. We’re growing fast—and we’re inviting great people to join us on the ride 🎢

If making measurable, immediate impact while having fun sounds like your jam, then we invite you to apply! 👇

What you’ll do:

• Lead the design, development, testing, and release of production features across the Rival product suite
• Own feature epics from discovery and architecture through implementation,
  rollout, and iteration
• Build across frontend and backend systems in a modern JavaScript and TypeScript stack
• Partner with Product and Design to shape requirements, clarify trade-offs, and drive execution plans for complex initiatives
• Set and uphold a high bar for code quality, performance, security, reliability, and user experience
• Improve test coverage, CI reliability, tooling, and overall developer experience
• Drive technical design reviews and produce clear written design documentation
• Identify risks and dependencies early and communicate mitigation strategies
• Debug and resolve issues across the full stack, including cloud environments and production systems
• Influence architectural decisions and long-term technical direction
• Raise the bar through thoughtful code reviews, mentorship, and coaching
• Contribute to hiring, onboarding, and overall team development

AI and Modern Development Practices

Rival encourages engineers to thoughtfully leverage AI-assisted development tools to improve productivity and quality.

• Apply strong judgment to AI behavior, correctness, privacy, security, and reliability risks
• Design evaluation strategies for AI features using test suites, human review, metrics, and monitoring
• Establish best practices for AI integration, including guardrails, validation,
  observability, and maintainability
• Use AI-assisted development tools to improve engineering speed and quality
• Collaborate cross-functionally on AI requirements such as telemetry, user feedback loops, and model performance tracking

What You'll Have:  

• 7+ years of professional experience building and operating production software systems
• Strong full-stack expertise across frontend and backend development
• Demonstrated experience leading complex technical initiatives or epics end to end
• Strong software engineering fundamentals including architecture, testing strategy, performance, and reliability
• Experience building or integrating AI-enabled product features such as LLM workflows, retrieval systems, agent-style architectures, or automated decision support
• Ability to evaluate and improve AI feature quality using structured testing, monitoring, and feedback mechanisms
• Strong collaboration and communication skills across technical and non-technical stakeholders
• Experience working in cloud-based environments, preferably AWS
• Familiarity with serverless and or microservices architectures from an application perspective
• Ability to reason about and debug issues across the full stack

Technology Stack & Tools

• Languages & Runtime: JavaScript, TypeScript, Node.js
• Frontend: React, Redux, Next.js, Styled Components
• Backend & APIs: Express, GraphQL
• Data & Storage: PostgreSQL, Redis or Valkey, MongoDB
• Messaging & Search: Kafka, Elasticsearch or OpenSearch
• Cloud: AWS (application-level experience); CloudFormation, CDK, or Terraform (working knowledge, no infrastructure ownership)
• Testing: Cypress, Jest, React Testing Library, Playwright, Vitest, Cucumber
• Engineering & Collaboration Tools: Atlassian Jira and Confluence, with a solid understanding of Agile workflows, including backlog grooming, sprint planning, and Scrum ceremonies

Why us for your next career adventure?  

💵 Fair compensation

We’re committed to pay equity/fair pay practices and closing the gender salary gap. 

• In determining salary, Rival Technologies considers many factors including the successful candidate’s skillset and experience as well as internal equity. The salary range for this position is $120,000 to $150,000, with the upper portion typically reserved for tenured employees who have developed extensive job knowledge and expertise within the company.

Our compensation package also includes:

• Home office, Internet and Cellphone stipends
• RRSP plan with employer matching
• Parental leave top up

💆‍♂️ Flexibility and time off

• Hybrid working model and home office benefits
• Comprehensive paid time off that covers vacation, sick, and personal days. 

🩺 Health and wellness

• Extended health and dental plan
• Health spending account
• Generous sick, personal, and mental health days
• $1,000 annual mental health benefits with Canada Life

🤝 A great place to work you can be proud of

According to a survey of our employees conducted by an independent agency:

• 91% of our people believe management practices are equal and impartial
• 86% have pride in their work and the organization
• 91% agree that their teammates are friendly, supportive and welcoming

Our values at Rival:

• Courage
• Results
• Energy
• Kinship

The not-so-fine-print 🧐

If you think you’re a good fit, please connect with us ASAP with your resume. You must be eligible to work in Canada to be considered for this role. At Rival, we value the unique qualities and experiences that each candidate brings to the table. We believe in a personal approach to hiring and take the time to thoroughly review each resume ourselves. Rest assured, we do not use AI or automated systems to review or filter resumes. Every application is carefully reviewed by our hiring team to ensure a fair and personalized evaluation process. If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that individuals in underrepresented groups often only apply when they feel 100% qualified. We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion. Rival provides equal employment opportunities to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Rival is also committed to fostering a culture of belonging, which includes ensuring an accessible work environment and employment practices. If you require accommodation at any point in the selection process, please email peopleteam@rivalgroup.io

Finally, we know from time to time emergencies happen and you may need to reschedule an interview — we understand and encourage you to be in communication without worrying about losing the opportunity or your credibility.

Please note given our security and compliance certifications, final applicants will be required to undergo a background check.

No recruiters and no phone calls, please!

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.

We’re looking for a Senior AI Platform Developer to build the shared systems that enable teams across MaintainX to ship AI-powered products reliably at scale. You will design and operate internal services that standardize how AI workloads run in production, with clear abstractions, safe defaults, and strong observability. This role is focused on platform leverage- reducing operational and cognitive load for other developers while raising the bar for reliability, performance, and delivery speed across the AI stack.

What you’ll do:

• Build and operate scalable backend services and internal APIs for the AI platform.
• Integrate LLMs and AI tool execution into reliable, production-ready workflows.
• Own production reliability for AI platform infrastructure through observability, alerting, and incident response.
• Improve performance and cost efficiency of AI runtimes through profiling, tuning, and capacity planning.
• Contribute to shared infra: CI/CD, observability, deployments

About you: 

• 5+ years of experience in Python backend development + systems design experience.
• Experience shipping AI-powered or LLM-integrated backend systems.
• Comfort working across multiple layers (services, data, infrastructure, AI tooling).
• Experience with cloud infrastructure (AWS/GCP/Azure) and IaC (Terraform/Pulumi).
• Experience with distributed systems and asynchronous processing.
• Have familiarity with AI or data-heavy services where reliability and cost matter at scale.

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 Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

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.

Lantern is looking for a Principal Engineer to join our fast-growing Member Experience team. In this role, you will lead the technical direction and ownership of our core member-facing platforms, including our web application, mobile app, and AI-driven chat features. You will be instrumental in architecting scalable solutions that enhance how our members interact with Lantern's services.

Location: Hybrid - at least 3 days/wk in Vancouver, BC Canada

Current Tech Stack:

Web Platform: Angular and TypeScript, with an emphasis on scalable front-end architecture, reusable components, and strong member experience.
Mobile Platform: React Native for member-facing mobile experiences.
Backend and APIs: .NET / C# services that power core member workflows and integrations.
Styling and UI: Tailwind CSS and NativeWind for consistent, modern interface development.
Cloud Infrastructure: Microsoft Azure for cloud services, hosting, integration, and operational support.

Responsibilities:

• Platform Ownership: Lead the development and end-to-end ownership of member-facing web, mobile, and AI chatbot experiences.
• Architectural Leadership: Define and maintain technical standards for front-end architecture, shared patterns, performance, accessibility, and long-term maintainability.
• Cross-Platform Integration: Drive a pragmatic strategy for reusable business logic, design consistency, and seamless experiences across web and mobile platforms where it adds value.
• Backend and Cloud Collaboration: Partner closely with engineers working in .NET / C# and Microsoft Azure to deliver secure, reliable, observable, and scalable solutions.
• AI and Member Experience: Help shape AI-enabled chat and support capabilities that improve navigation, engagement, and service for Lantern members.
• Mentorship: Act as a technical pillar for the engineering organization by mentoring engineers, leading design reviews, and guiding complex implementation decisions.

Requirements:

• Work Experience: Extensive years of professional software engineering experience, preferably with at least 2+ years operating at a Staff, Principal, or equivalent technical leadership level in product-focused environments.
• Front-End Expertise: Deep expertise in TypeScript, React, and modern front-end architecture, with the ability to operate effectively in environments that also include Angular.
• Mobile Expertise: Proven experience building and supporting production-grade applications using React Native.
• Backend and Cloud Fluency: Strong experience partnering with backend teams working in .NET / C# or Node.js and building solutions that run on Microsoft Azure.
• Design Systems and UI: Hands-on familiarity with Tailwind CSS and/or NativeWind, reusable component patterns, and high-quality user experience implementation.
• Preferred Skills: Experience building or integrating AI / LLM-powered product features such as chat, guided workflows, copilots, or search-driven experiences.
• Domain and Collaboration: Excellent communication skills and the ability to influence across engineering, product, design, and business stakeholders.
• Education: Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.

Strong Candidates Will:

• Be Product-Minded: Understand the member and business impact behind technical decisions, not just the implementation details.
• Balance Strategy and Execution: Move comfortably between architecture, hands-on problem solving, and delivery support.
• Create Clarity: Bring structure to ambiguous problems, align stakeholders, and move important work forward with sound judgment.
• Lead with Ownership: Raise the bar for quality, collaboration, and engineering excellence across the team.

Benefits:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short- & Long-Term Disability
• Life Insurance
• Flexible PTO
• RRSP with company match

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:

ROLE OVERVIEW:

As a Full-Stack Developer, you will architect and build custom web applications across multiple client engagements, owning both the backend API layer and the frontend. A defining aspect of this role is working with AI as a logic layer within applications: integrating LLM APIs for validation, decision-making, classification, and content generation. You make strong technical decisions around authentication, security, state management, and performance, and you bring cloud engineering awareness for edge computing, CDN delivery, and serverless environments. This is not a traditional manual coding role. You orchestrate AI development tools, primarily Claude Code, through strategic prompting and rigorous review, taking full ownership of what ships.

RESPONSIBILITIES

Your key responsibilities will include:

• Architect and build custom web applications using Node.js (Nest.js, Express, Hono), Python (FastAPI, Flask), and Next.js/React.
• Design and build RESTful and/or GraphQL APIs that serve multiple frontends and integrate with third-party services.
• Integrate AI and LLM APIs as a core logic layer, building intelligent features such as validation, classification, content generation, and decision support.
• Implement authentication, authorisation (JWT, OAuth, RBAC), and security across applications.
• Design and manage database layers (PostgreSQL, MongoDB, cloud-managed equivalents), including schema design, migrations, and query optimisation.
• Architect with cloud-native patterns: edge functions, CDN configuration, serverless deployments, and caching strategies.
• Write and maintain automated tests across the full stack: unit (Vitest/Jest), API/integration, component (React Testing Library), and E2E (Playwright/Cypress).
• Orchestrate AI development tools (Claude Code) through strategic prompting, ensuring high-quality, production-ready output.

EXPERIENCE

The ideal candidate will have:

• Strong backend proficiency across Node.js (Nest.js, Express, Hono) and Python (FastAPI, Flask), with TypeScript and Python as working languages.
• Strong Next.js and React experience.
• Experience integrating AI/LLM APIs as an application logic layer: validation, classification, content generation, and decision-making within business workflows.
• Database design and management: PostgreSQL, MongoDB, cloud-managed services (Cloud SQL, RDS, ApsaraDB).
• Authentication and authorisation patterns (JWT, OAuth, RBAC) and API security.
• Cloud engineering: edge functions, CDN configuration, serverless architecture, container orchestration.
• Full-stack test automation: unit, API/integration, component, and E2E testing.
• Performance optimisation: caching, query optimisation, code splitting, monitoring.
• REST and/or GraphQL API design.
• Demonstrated ability to orchestrate AI development tools through strategic prompting and quality oversight.

TECHNOLOGIES

Deep understanding of the following technologies is essential:

• Node.js, TypeScript, Nest.js, Express, Hono, Python, FastAPI, Flask.
• Next.js, React, Tailwind CSS.
• PostgreSQL, MongoDB, cloud-managed database services.
• Authentication: JWT, OAuth, RBAC.
• Cloud and edge: Alibaba Cloud, GCP, AWS, Cloudflare Workers, Vercel Edge, Lambda.
• AI/LLM API integration and orchestration.
• Testing: Vitest/Jest, React Testing Library, Playwright/Cypress, API testing.
• Docker, CI/CD, Git, Claude Code.

PREFERRED QUALIFICATIONS

• Experience in a consulting or agency environment across multiple concurrent client engagements.
• Apollo GraphQL Server for federated or schema-first APIs.
• Event-driven patterns (webhooks, message queues, real-time notifications).
• Multi-model AI strategies (routing between LLMs based on task requirements).
• Graph databases (Neo4j) or vector databases (pgvector, Pinecone).
• Infrastructure as Code (Terraform, Pulumi).
• Export/print workflows (PDF generation, report exports).

WHO YOU ARE

You are a full-stack developer who takes ownership of the complete application, from API design and database schema through to the frontend. You treat security, performance, and data integrity as first-class concerns. You are comfortable working with AI as a logic layer, and you understand cloud-native architecture well enough to make informed decisions about edge computing, caching, and deployment. You thrive in a consulting environment, adapting to new domains and communicating clearly with technical teams and client stakeholders.

WHAT APPNOVATION HAS TO OFFER 

• 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

ROLE OVERVIEW:

As a Full-Stack Developer, you will architect and build custom web applications across multiple client engagements, owning both the backend API layer and the frontend. A defining aspect of this role is working with AI as a logic layer within applications: integrating LLM APIs for validation, decision-making, classification, and content generation. You make strong technical decisions around authentication, security, state management, and performance, and you bring cloud engineering awareness for edge computing, CDN delivery, and serverless environments. This is not a traditional manual coding role. You orchestrate AI development tools, primarily Claude Code, through strategic prompting and rigorous review, taking full ownership of what ships.

RESPONSIBILITIES

Your key responsibilities will include:

• Architect and build custom web applications using Node.js (Nest.js, Express, Hono), Python (FastAPI, Flask), and Next.js/React.
• Design and build RESTful and/or GraphQL APIs that serve multiple frontends and integrate with third-party services.
• Integrate AI and LLM APIs as a core logic layer, building intelligent features such as validation, classification, content generation, and decision support.
• Implement authentication, authorisation (JWT, OAuth, RBAC), and security across applications.
• Design and manage database layers (PostgreSQL, MongoDB, cloud-managed equivalents), including schema design, migrations, and query optimisation.
• Architect with cloud-native patterns: edge functions, CDN configuration, serverless deployments, and caching strategies.
• Write and maintain automated tests across the full stack: unit (Vitest/Jest), API/integration, component (React Testing Library), and E2E (Playwright/Cypress).
• Orchestrate AI development tools (Claude Code) through strategic prompting, ensuring high-quality, production-ready output.

EXPERIENCE

The ideal candidate will have:

• Strong backend proficiency across Node.js (Nest.js, Express, Hono) and Python (FastAPI, Flask), with TypeScript and Python as working languages.
• Strong Next.js and React experience.
• Experience integrating AI/LLM APIs as an application logic layer: validation, classification, content generation, and decision-making within business workflows.
• Database design and management: PostgreSQL, MongoDB, cloud-managed services (Cloud SQL, RDS, ApsaraDB).
• Authentication and authorisation patterns (JWT, OAuth, RBAC) and API security.
• Cloud engineering: edge functions, CDN configuration, serverless architecture, container orchestration.
• Full-stack test automation: unit, API/integration, component, and E2E testing.
• Performance optimisation: caching, query optimisation, code splitting, monitoring.
• REST and/or GraphQL API design.
• Demonstrated ability to orchestrate AI development tools through strategic prompting and quality oversight.

TECHNOLOGIES

Deep understanding of the following technologies is essential:

• Node.js, TypeScript, Nest.js, Express, Hono, Python, FastAPI, Flask.
• Next.js, React, Tailwind CSS.
• PostgreSQL, MongoDB, cloud-managed database services.
• Authentication: JWT, OAuth, RBAC.
• Cloud and edge: Alibaba Cloud, GCP, AWS, Cloudflare Workers, Vercel Edge, Lambda.
• AI/LLM API integration and orchestration.
• Testing: Vitest/Jest, React Testing Library, Playwright/Cypress, API testing.
• Docker, CI/CD, Git, Claude Code.

PREFERRED QUALIFICATIONS

• Experience in a consulting or agency environment across multiple concurrent client engagements.
• Apollo GraphQL Server for federated or schema-first APIs.
• Event-driven patterns (webhooks, message queues, real-time notifications).
• Multi-model AI strategies (routing between LLMs based on task requirements).
• Graph databases (Neo4j) or vector databases (pgvector, Pinecone).
• Infrastructure as Code (Terraform, Pulumi).
• Export/print workflows (PDF generation, report exports).

WHO YOU ARE

You are a full-stack developer who takes ownership of the complete application, from API design and database schema through to the frontend. You treat security, performance, and data integrity as first-class concerns. You are comfortable working with AI as a logic layer, and you understand cloud-native architecture well enough to make informed decisions about edge computing, caching, and deployment. You thrive in a consulting environment, adapting to new domains and communicating clearly with technical teams and client stakeholders.

WHAT APPNOVATION HAS TO OFFER 

• 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

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.

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.

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are looking for a Staff Product Manager who combines deep Generative and Agentic AI fluency with hands-on building ability to own AI product outcomes end-to-end. As a Staff PM, you're accountable for initiative-level outcomes, stakeholder satisfaction, and contributing to R&P's AI product practice. You think in systems, work backwards from the customer problem, and stay relentlessly curious about what's next in AI

Enterprise clients want to deploy Agents -  moving from a promising demo to a production system that works at scale, meets security and compliance requirements, and delivers measurable business value is hard. This role owns that problem. You'll be part of a GenAI initiative within the AWS ecosystem, building the evals, tools, patterns, and reference architectures that make AI deployment repeatable.  The mindset: prove it works, test assumptions early, and document while building.

Key Responsibilities

Product Strategy & AI Vision

• Define and drive the product vision, strategy, and roadmap for GenAI solutions - with agentic AI (agent orchestration, tool use, multi-step workflows) as the primary focus - connecting AI capabilities to enterprise business outcomes
• Translate enterprise problems into structured product requirements; reframe feature requests into outcome-driven priorities with explicit tradeoffs on invest in vs. defer
• Balance near-term deployment milestones with long-term platform scalability and sustainability
• Monitor the competitive GenAI landscape and emerging agentic patterns to inform roadmap and technology decisions

Discovery & Validation

• Research how enterprise users interact with AI agents and where they lose trust; frame the riskiest assumptions as testable hypotheses and de-risk them first
• Design and run experiments - POCs, pilot deployments, scenario-based testing of multi-step workflows, edge cases, and failure recovery - to validate agentic solutions where non-deterministic output makes traditional QA insufficient
• Distill research, experiments, and competitive intelligence into clear insights that pave the path for a successful product
• Agent Design, Prototyping & Production
• Define agent behavior and prototype system prompts and tool schemas; partner with engineering on context management - summarization, working memory, and information flow across multi-step tasks
• Drive multi-model architecture tradeoffs with engineering - define the quality, cost, and latency targets that determine which model serves each step in the agent workflow
• Build AI prototypes to validate hypotheses; define human-in-the-loop boundaries and guardrails - when the agent acts autonomously, when it escalates, and how to handle non-deterministic output
• Establish agent evaluation frameworks - task completion, reasoning quality, tool selection, failure recovery, safety - and partner with engineering on production readiness (observability, drift, responsible AI, prompt versioning)
• Define success metrics at the agent level - task completion rate, cost per task (not per inference), escalation rate, time to resolution, and customer trust alongside business KPIs
• Delivery & Execution
• Own the end-to-end product lifecycle from discovery through phased rollouts; establish the metrics framework (north star, input, guardrail metrics) and report product impact to leadership
• Manage the product backlog, scope, dependencies, and risks; drive agile ceremonies and produce high-quality PRDs, product briefs, and decision logs
• Evaluate technology and platform decisions from a product perspective; create deployment playbooks, reference architectures, and knowledge transfer materials so teams sustain solutions independently
• Use AI to accelerate product work - research, analysis, prototyping, documentation - with judgment on when it needs human oversight; onboard rapidly to new domains and support team members across the initiative

Stakeholder Management

• Build trusted relationships with stakeholders and executives; serve as the go-to product advisor and primary contact for AI product direction and deployment strategy
• Partner with AWS Solution Architects and account teams to align on technical approach, service selection, and go-to-market for GenAI solutions
• Manage expectations on scope, timelines, and tradeoffs; facilitate decisions across competing priorities using data, alternatives, and clear rationale
• Frame AI capabilities and limitations for non-technical stakeholders - manage hype cycles, set realistic expectations; surface unmet needs that deepen relationships and grow the account

Required Skills

• 8-12+ years in product management, forward deployment, or solutions engineering; must have shipped AI products from prototype through production at scale
• Strong product sense - ability to identify what matters to users and the business, make prioritization calls with incomplete information, and shape products that deliver real outcomes
• Deep GenAI fluency - LLMs, RAG, fine-tuning, prompt engineering, context engineering, evals - with hands-on experience building or shipping agentic systems (planning, tool use, HITL, guardrails)
• Proven ability to prototype AI solutions using AI tools (Cursor, Claude, Copilot) to validate hypotheses and de-risk product decisions
• Experience deploying AI solutions in enterprise environments with strong technical fluency - can read code, evaluate architectures, make product tradeoffs on technical constraints, and drive scalable deployment patterns
• Exceptional communicator - clear PRDs, technical specs, and decision logs; has led AI products through full lifecycle and driven alignment with Directors, VPs, and C-level
• Comfortable operating in ambiguous, fast-moving environments where the AI landscape evolves weekly
• PM-level fluency across the AWS AI ecosystem - Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, Step Functions - to make informed product and architecture decisions

Preferred Qualifications

• Software engineering or coding background (Python, JavaScript, TypeScript)
• Agency or consulting delivery experience
• Experience in Financial Services, Healthcare, or Life Sciences industries
• Familiarity with open-source LLM ecosystem (Llama, Mistral) for flexibility and cost optimization
• Prior experience leading time-boxed discovery initiatives or technical spikes with rapid validation cycles

Why Join R&P?

You'll work at the intersection of cutting-edge AI and real enterprise impact - helping clients deploy Generative and Agentic AI solutions that change how their businesses operate. R&P gives you the variety of consulting (new problems, new industries, new tech) with the depth of a product role - you'll build, ship, and measure, not just advise. The team is collaborative, technically sharp, and genuinely invested in doing great work for clients.

P-1381

At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Team:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.

What your impact will be:

• Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.
• Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
• Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.
• Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.
  Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.

What we look for:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all: 

• Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.
• Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.
• AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.

Location: Remote (U.S. 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 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

Human Agency is an AI-native consultancy that builds, ships, and operates alongside our clients. We don’t advise from the sideline — we embed inside enterprise organizations and deploy production AI systems that do real work.

Our current anchor engagement is inside one of the largest privately held construction enterprises in the United States — LLM orchestration, document intelligence, workflow automation, enterprise integration. Not strategy decks. Not innovation labs. Systems that run.

We need a Managing Director of Technology to own the technical side of the house as we scale Human Agency. That means leading client delivery, making architecture calls, building the engineering team, and being the technical voice in rooms with C-suite executives. You’ll work closely on strategy with both the Founder and the Managing Director of AI — but the technical execution, the team, and the platform are yours.

This role requires someone who can move between writing production code and presenting to a client’s CEO in the same week. If that sounds like whiplash, this isn’t the right fit. If that sounds like Tuesday, keep reading.

What You’ll Do

Lead technical delivery for enterprise clients. You’re the most senior technical person in the room on our biggest engagements. You decide what’s feasible, design the architecture, and make sure it ships. When a client executive asks “can we do this?” — you’re the one who answers.

Build how we deliver, not just what we deliver. One client engagement works because of talented people and brute effort. Ten engagements work because of systems. You design the repeatable model — how we scope, staff, build, and deploy — so the team can run engagements without you in every meeting. That means building discovery frameworks, reference architectures, deployment templates, and evaluation routines that actually get used.

Hire and develop the engineering team. You set the bar, own the pipeline, and make the calls on who joins. We need people who can build with high autonomy in ambiguous environments, and you know how to find them. You also know how to make good engineers better through architecture guidance, code review, and honest feedback.

Own platform and infrastructure decisions. Build vs. buy, tooling, deployment, security — you make the calls. A Principal Engineer handles day-to-day infrastructure execution; you set priorities and architectural direction.

Shape our AI strategy through the lens of what actually ships. You have real opinions on LLM orchestration, RAG, agents, evaluation, and fine-tuning — formed by building things, not reading about them. You decide which technical bets we make and which we skip, based on what creates value for clients, not what looks good on a slide.

What We’re Looking For

• You’ve built and shipped AI/ML systems in production. Not prototypes. Not demos. Things that run and that people depend on.
• You’ve hired and led a technical team — at least 5 people, ideally more. You’ve seen what breaks when a team grows and you’ve fixed it.
• You can explain a technical trade-off to a non-technical executive in a way that helps them make a decision. You’ve done this in high-stakes settings.
• You have strong opinions on AI architecture grounded in hands-on experience — and you change those opinions when the evidence says to.
• You’re comfortable in the weeds. When something is broken or a team is stuck, you get in and help, not schedule a meeting about it.
• You know your way around cloud infrastructure and engineering practices well enough to make platform calls with confidence.

Bonus points for: you’ve scaled a startup or early-stage company before — built the team, built the systems, lived through the growing pains; experience in a services or consultancy model (SOWs, staffing, client delivery); a network of engineers you’ve worked with and would hire again.

You Should Apply If

• You’d rather build AI systems than talk about AI strategy
• You want to own a technical organization, not manage a lane inside someone else’s
• You’re comfortable making big decisions with imperfect information — and owning the outcome
• You want to work somewhere with real revenue, real clients, and real problems to solve
• You’re energized by building a company — not just writing code, but shaping how the whole thing works

You Should Not Apply If

• You want a CTO-like title with a strategy focus and minimal hands-on building
• You’re uncomfortable getting into production-level detail when the situation calls for it
• You expect an established engineering org with playbooks, processes, and a support structure already in place
• You’d rather delegate technical depth than engage directly
• Your experience is solely in product companies and you’re not interested in building for clients

Considerations

Education: Bachelor’s degree or equivalent experience; advanced degrees are a plus but not required

Ethics: Commitment to responsible AI practices — transparency, human oversight, privacy

Travel: Periodic (10–20%) for client work, team offsites, and events

Location: Remote-friendly; U.S. or Canada, with preference for EST timezone alignment

Why Join Human Agency

We’re profitable, growing, and building AI systems that run in production for billion-dollar companies. The team is small, the clients are real, and the work matters.

The work is real and the opportunity is massive. We’re building a company — the systems, the team, the delivery model, the culture — and we need someone to own the technical side of that build.

If you’re the kind of person who’d rather build the engine than describe the engine, we want to talk.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work.

Location: Remote (U.S. 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 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

This is not a traditional enterprise CISO role where you inherit a legacy infrastructure, manage a large team, and maintain the status quo. This is a hands-on, entrepreneurial builder role. You are joining at the frontier of AI security — designing systems that don't yet exist, solving problems the industry is only beginning to name, and treating security not as a cost center but as a strategic and commercial advantage.

We're deploying AI agents at scale across client environments, building our own AI-powered tools, and advising organizations on how to safely integrate autonomous systems into mission-critical workflows. That creates a unique security mandate: you must secure our internal operations, embed security directly into the AI products we build, and help clients deploy agents safely in regulated, high-stakes environments. You are architect, operator, and evangelist all at once.

You'll have the rare opportunity to shape how an entire category of technology gets secured. We're not asking you to retrofit old playbooks onto new problems — we're asking you to write the playbook. If you've been looking for a role where security is core to the product, where you can build things that matter, and where your work influences the broader conversation around AI safety and governance, this is it.

What You'll Own

Define and execute our security strategy from the ground up. You'll architect our internal security posture across infrastructure, data, and AI systems, establish governance models for how we deploy agents safely, and ensure we're prepared for compliance frameworks like SOC 2, ISO, and potentially FedRAMP as we scale into enterprise and government clients.

Build security into AI agent systems as a first-class product feature. You'll design guardrails, monitoring, and policy enforcement for autonomous agents — ensuring they operate within defined boundaries, audit their own actions, and surface anomalies in real time. This isn't theoretical; you'll implement these systems in production environments where they directly impact client outcomes.

Develop and potentially commercialize security products. The security tooling you build internally may become standalone offerings. You'll have the latitude to identify what's missing in the market, prototype solutions, and work with our product and engineering teams to turn internal infrastructure into revenue-generating products.

Lead incident response, threat modeling, and adversarial testing. You'll build and run red team exercises against our AI systems, model attack vectors that don't yet have names, and develop response frameworks for risks unique to agentic AI — things like prompt injection at scale, model extraction, or adversarial manipulation of agent behavior.

Serve as the public face of AI security for Human Agency. You'll represent us in client conversations, partner discussions, and industry forums. You'll publish, speak, and help shape the broader conversation around AI risk, alignment, and governance. If the industry doesn't yet have consensus on how to secure a given AI capability, you'll be one of the people defining it.

Deploy and operate security infrastructure hands-on. You'll implement zero-trust architectures, secure multi-agent systems, deploy monitoring and detection tools, and build secure data pipelines. This is not a role where you delegate all technical work — you write code, you configure systems, you debug in production when necessary.

Who You Are

Experience & Skills

• You've served as a CISO, VP of Security, or Head of Security at a high-growth tech company, ideally one building or deploying AI systems at scale.
• You have deep, hands-on experience securing AI and machine learning systems — not just theoretical knowledge, but real work protecting LLM architectures, model training pipelines, and inference infrastructure.
• You've built and operated cloud-native security programs across AWS, GCP, or Azure, including zero-trust frameworks, identity and access management, and secure multi-tenant architectures.
• You understand threat modeling and red teaming deeply, and you've led adversarial exercises against complex systems — ideally including AI-specific attack vectors like prompt injection, model inversion, or data poisoning.
• You've designed and implemented security monitoring, incident response, and compliance programs that scale — you know what good looks like at every stage from startup to enterprise readiness.
• You have a track record of building or contributing to security products, not just internal programs — something you shipped that customers used, or tooling that became infrastructure for others.

Mindset & Traits

• You think like a founder. You see security as a competitive advantage and a product opportunity, not just a compliance checkbox. You want to build things, not just manage them.
• You are comfortable with ambiguity and energized by unsolved problems. The fact that no one has secured autonomous AI agents at scale yet doesn't intimidate you — it excites you.
• You are product-minded and commercially aware. You understand that security decisions have business implications, and you can articulate trade-offs in language that non-security stakeholders understand and respect.
• You are technical enough to earn respect from engineers and pragmatic enough to earn trust from clients. You can debug a containerized agent deployment in the morning and present to a CFO in the afternoon.
• You are a teacher and a builder of institutional knowledge. You document what you learn, you share what you know, and you leave systems better than you found them.
• You care deeply about doing the right thing. You take security seriously because real people and real organizations depend on it, and you hold yourself to the highest standard even when no one is watching.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work.

Location: Remote (U.S. 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 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

This is not a traditional enterprise CISO role where you inherit a legacy infrastructure, manage a large team, and maintain the status quo. This is a hands-on, entrepreneurial builder role. You are joining at the frontier of AI security — designing systems that don't yet exist, solving problems the industry is only beginning to name, and treating security not as a cost center but as a strategic and commercial advantage.

We're deploying AI agents at scale across client environments, building our own AI-powered tools, and advising organizations on how to safely integrate autonomous systems into mission-critical workflows. That creates a unique security mandate: you must secure our internal operations, embed security directly into the AI products we build, and help clients deploy agents safely in regulated, high-stakes environments. You are architect, operator, and evangelist all at once.

You'll have the rare opportunity to shape how an entire category of technology gets secured. We're not asking you to retrofit old playbooks onto new problems — we're asking you to write the playbook. If you've been looking for a role where security is core to the product, where you can build things that matter, and where your work influences the broader conversation around AI safety and governance, this is it.

What You'll Own

Define and execute our security strategy from the ground up. You'll architect our internal security posture across infrastructure, data, and AI systems, establish governance models for how we deploy agents safely, and ensure we're prepared for compliance frameworks like SOC 2, ISO, and potentially FedRAMP as we scale into enterprise and government clients.

Build security into AI agent systems as a first-class product feature. You'll design guardrails, monitoring, and policy enforcement for autonomous agents — ensuring they operate within defined boundaries, audit their own actions, and surface anomalies in real time. This isn't theoretical; you'll implement these systems in production environments where they directly impact client outcomes.

Develop and potentially commercialize security products. The security tooling you build internally may become standalone offerings. You'll have the latitude to identify what's missing in the market, prototype solutions, and work with our product and engineering teams to turn internal infrastructure into revenue-generating products.

Lead incident response, threat modeling, and adversarial testing. You'll build and run red team exercises against our AI systems, model attack vectors that don't yet have names, and develop response frameworks for risks unique to agentic AI — things like prompt injection at scale, model extraction, or adversarial manipulation of agent behavior.

Serve as the public face of AI security for Human Agency. You'll represent us in client conversations, partner discussions, and industry forums. You'll publish, speak, and help shape the broader conversation around AI risk, alignment, and governance. If the industry doesn't yet have consensus on how to secure a given AI capability, you'll be one of the people defining it.

Deploy and operate security infrastructure hands-on. You'll implement zero-trust architectures, secure multi-agent systems, deploy monitoring and detection tools, and build secure data pipelines. This is not a role where you delegate all technical work — you write code, you configure systems, you debug in production when necessary.

Who You Are

Experience & Skills

• You've served as a CISO, VP of Security, or Head of Security at a high-growth tech company, ideally one building or deploying AI systems at scale.
• You have deep, hands-on experience securing AI and machine learning systems — not just theoretical knowledge, but real work protecting LLM architectures, model training pipelines, and inference infrastructure.
• You've built and operated cloud-native security programs across AWS, GCP, or Azure, including zero-trust frameworks, identity and access management, and secure multi-tenant architectures.
• You understand threat modeling and red teaming deeply, and you've led adversarial exercises against complex systems — ideally including AI-specific attack vectors like prompt injection, model inversion, or data poisoning.
• You've designed and implemented security monitoring, incident response, and compliance programs that scale — you know what good looks like at every stage from startup to enterprise readiness.
• You have a track record of building or contributing to security products, not just internal programs — something you shipped that customers used, or tooling that became infrastructure for others.

Mindset & Traits

• You think like a founder. You see security as a competitive advantage and a product opportunity, not just a compliance checkbox. You want to build things, not just manage them.
• You are comfortable with ambiguity and energized by unsolved problems. The fact that no one has secured autonomous AI agents at scale yet doesn't intimidate you — it excites you.
• You are product-minded and commercially aware. You understand that security decisions have business implications, and you can articulate trade-offs in language that non-security stakeholders understand and respect.
• You are technical enough to earn respect from engineers and pragmatic enough to earn trust from clients. You can debug a containerized agent deployment in the morning and present to a CFO in the afternoon.
• You are a teacher and a builder of institutional knowledge. You document what you learn, you share what you know, and you leave systems better than you found them.
• You care deeply about doing the right thing. You take security seriously because real people and real organizations depend on it, and you hold yourself to the highest standard even when no one is watching.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work.

Who we are:

MasterClass is the streaming platform where the world’s best come together so anyone, anywhere, can access and be inspired by their knowledge and stories. We put you in the room with the creators, thinkers, makers and leaders who have changed the world, so that you can change yours.

Members get unprecedented access to 200+ instructors and classes across a wide variety of fields, including Arts & Entertainment, Business, Design & Style, Sports & Gaming, Writing and more. Step into Nas’ recording studio and Gordon Ramsay’s kitchen, and go behind the big screen with James Cameron. Design your career with Elaine Welteroth, get ready to win with Lewis Hamilton, perfect your pitch with Shonda Rhimes and discover your inner negotiator with Chris Voss.

We’re a remote-first workforce with collaborative work spaces in San Francisco and Kitchener, Ontario, and employees in several U.S. states. If you’re interested in joining a dynamic, culture-driving company—where learning invaluable
skills is all in a day’s work—we invite you to apply.

Snapshot of the Role:

We’re looking for a Staff Infrastructure  Engineer who operates as a technical leader and force multiplier across the platform. This is a senior individual contributor role for someone who designs systems that scale beyond a single team, sets technical direction, and elevates how infrastructure is built and operated across MasterClass.

You’ll lead and provide direction for  cloud infrastructure, developer platforms, video infrastructure, and emerging AI/ML infrastructure—partnering closely with product engineering, content production, data, and AI teams. This role is ideal for someone who combines deep systems expertise with strong software engineering, thrives in ambiguity, and takes ownership from strategy through execution.

This is not a people-management role, but it carries significant technical leadership responsibility.

What You Will Do:

• Set technical direction for core infrastructure systems, balancing reliability, scalability, security, and developer velocity.
• Design and lead implementation of complex, cross-team infrastructure initiatives (AWS, EKS, CI/CD, shared platforms).
• Build production-grade software to power infrastructure automation, tooling, and internal platforms.
• Drive org-wide improvements in observability, incident response, reliability engineering, and cost efficiency.
• Lead video infrastructure initiatives  to evolve video delivery and CDN strategies for global scale and performance.
• Partner with AI and Data teams to define and build GPU-powered infrastructure, model-serving platforms, and GenAI inference/training workflows.
• Act as a technical mentor and reviewer, raising the bar for infrastructure design and operational excellence across teams.
• Lead by example during incidents, postmortems, and critical architectural decisions.

About You (Requirements):

• 10+ years building and operating cloud-native production systems.
• Strong expertise in:
  • AWS architecture and large-scale cloud operations
  • Kubernetes / EKS (networking, RBAC, Helm, autoscaling, cluster-level debugging)
  • Infrastructure as Code (Terraform preferred)
  • CI/CD and automation (GitHub Actions, Argo, or similar)
• Proven ability to design and build infrastructure software, not just operate systems.
• Deep understanding of distributed systems, networking, Linux internals, and cloud security.
• A track record of driving step-function improvements in reliability, scalability, or developer experience.
• Strong written and verbal communication skills; able to influence technical decisions across teams.

Who You Are

• You think in systems and leverage, not just tasks.
• You care deeply about craftsmanship, clarity, and long-term maintainability.
• You enjoy solving ambiguous, cross-functional technical problems.
• You’re pragmatic—you optimize for impact over novelty.
• You raise the bar through mentorship, design reviews, and thoughtful collaboration.
• You’re energized by both strategic architecture and hands-on implementation.

Nice To Haves

• AI/ML infrastructure, GPU scheduling, or distributed training
• Model serving frameworks (e.g., Triton, vLLM, TensorRT-LLM)
• Infrastructure autoscaling strategies, including application workloads, databases, and GenAI workloads
• KEDA, Karpenter, service mesh, or multi-cluster architectures
• HLS/DASH packaging or video encoding pipelines
  
  

  Nice-to-haves are not required; each represents a direction in which our infrastructure is evolving.

At MasterClass, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. In addition, MasterClass will provide reasonable accommodations for qualified individuals with disabilities.  If you have a disability or special need, we would like to know how we can better accommodate you.