Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

The Auth0 Team

We never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you're passionate, practice radical transparency to build trust and respect, and thrive when you're collaborating, experimenting and learning – this may be your ideal work environment. We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day. N+1 > N.

Here at Auth0 we’re focused on securing the world’s identities so innovators can innovate. We’re currently hiring a Senior Software Engineer for the Identity Security Insights team. The Insights team is responsible for modernizing the way Auth0 empowers our customers to seamlessly access and understand their Auth0 data and level up how they monitor and address security concerns.

What you will do:

• Help design secure, performant, cross-platform browser-based features.
• Collaborate inside your team to solve technical and non-technical challenges.
• Work closely with Product and Design to determine and optimize user experience.
• Build new and maintain existing features by contributing across the full technical stack.
• Debug and resolve production issues and implement fixes for them.
• Be a part of the team's on-call rotations.
• Evaluate new technologies and techniques to improve overall practices.

You are a good fit for this role if you:

• Have a passion for learning.
• Like owning, designing, and driving projects end to end.
• Enjoy greenfield development and iterating on existing features.
• Are comfortable writing and operating full-stack applications.
• Are familiar with Node.js and RESTful APIs.
• Have a good understanding of JavaScript and TypeScript.
• Have the ability to contribute in a team environment.
• Work well with technical and non-technical people to deliver high-value results.
• Have excellent communication and collaboration skills.
• Enjoy being part of a highly collaborative, remote-friendly environment.
• Have at least 5 years of software development experience.
• Familiarity with AI agent frameworks, orchestration tools, or the Model Context Protocol (MCP).

It is helpful, but not required, if you:

• Have experience working in distributed teams and work environments.
• Have experience working with React and Styled Components.
• Have experience working with data driven applications.
• Exposure to agentic application patterns: tool use, multi-step workflows, agent-to-agent communication.

#LI-HYBRID

#LI-SH1
P-1093.1_3427006

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

About the Team

The Global Safety and Security team advances DoorDash through the protection of people, property, operations, brand, and reputation. We manage safety and security risk and provide value across the business through technology, and a people-first approach. Our team strives to always be in front and there for our people anytime, anywhere.

About the Role

The Physical Security Agent, Critical Incident Response Team (CIRT) is responsible for real-time monitoring, triage, and response to incidents that impact DoorDash’s global workforce, assets, and operations. You’ll serve as a front-line responder, analyzing alerts, coordinating response actions, and escalating issues according to established Global Safety & Security (GSS) protocols.

This role sits at the heart of DoorDash’s emergency response network — ensuring rapid, informed, and coordinated action during critical events such as natural disasters, workplace emergencies, or significant disruptions. Working closely with regional and global partners, you’ll help keep DoorDash’s people safe and operations running smoothly around the clock.

Key Responsibilities

Security Operations & Monitoring

• Monitor and assess alerts from global intelligence, safety, and security systems to identify potential threats or incidents
• Patrol and assess potential behavioral escalations or concerns
• Conduct routine lobby and facility patrols to ensure safety, security, and compliance
• Perform door, camera, and access point checks

Access Control & Visitor Management

• Manage employee and guest badging, including badge printing, activation, and access level assignments (experience with Genetec, Lenel S2, or similar systems)

Incident Response & Safety

• Triage incidents, determining severity and escalation requirements in accordance with CIRT standard operating procedures
• Act as the initial point of contact for incident reporting, ensuring information is captured accurately and escalated efficiently
• De-escalate situations involving employees, vendors, and guests as needed
• Support activation and execution of emergency response and crisis communication protocols

Employee Engagement

• Coordinate with internal teams (e.g., Workplace, HR, Legal, Comms, Operations) and external partners (e.g., law enforcement, emergency services) during incident response
• Disseminate timely situational updates and intelligence to relevant stakeholders

Asset & Inventory Management

• Maintain inventory, readiness, and restocking of first aid kits, AEDs, and other emergency response materials in coordination with Workplace teams
• Ensure emergency supplies are documented, tracked, and available to support incident response operations

Documentation, Compliance & Technology

• Maintain SOPs, post orders, incident reports, and audit records
• Ensure adherence to corporate safety, security, and compliance standards
• Maintain detailed logs, case notes, and documentation using Jira and other internal tools
• Participate in after-action reviews to improve process and operational efficiency

Events Support

• Support local events, executive visits, and executive protection details from an incident monitoring, coordination, and escalation perspective
• Coordinate with Workplace, Security, and event stakeholders to ensure appropriate safety coverage and response readiness
• Monitor events for emerging risks, incidents, or escalations and facilitate timely response as needed

Additional Duties

• Support after-hours, weekend, and holiday response as required by business needs
• Support special projects or operational needs as assigned
• Assist with credentialing, crowd flow, and safety monitoring during higher-volume office days or events
• Travel up to 5% as required for training or business support

Schedule & Work Environment

• On-site role, 40 hours per week
• Schedule may vary based on operational needs
• After-hours, weekends, and holidays as required by business needs

About You

• 2–4+ years of experience in emergency management, public safety, dispatch, GSOC, or related security operations environment
• CPR, First Aid, AED certification (current)
• Advanced First Aid training (EMT preferred) 
• Strong analytical and situational awareness skills — able to prioritize under pressure
• Exceptional written and verbal communication, particularly in high-stakes or time-sensitive situations
• Familiarity with incident management systems and communication tools (e.g., Everbridge, Dataminr, OnSolve, or similar)
• Calm and composed in emergencies, with strong problem-solving and judgment skills
• Willingness to work non-standard hours, including nights, weekends, and holidays
• Fluency in English required; additional language skills (Spanish, French, or Mandarin) a plus
• Bachelor’s degree or equivalent work experience in a relevant field (e.g., emergency management, criminal justice, homeland security)
• Great communication and relationship building skills

You’ll Love This Role If

• You thrive in high-tempo, real-time environments where every second matters
• You find purpose in helping protect people and operations from emerging risks
• You enjoy staying calm under pressure and making smart, quick decisions
• You value teamwork, precision, and continuous improvement

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Role:

As the Enterprise Applications AI Architect, you will lead the integration of AI and automation across Gusto’s enterprise applications ecosystem, transforming how internal systems connect, communicate, and operate. Sitting within the IT and Enterprise Applications organization, you will partner closely with Product, Engineering, Finance, People Tech, and Operations to bridge business needs with AI driven solutions. You will act as the connector between business requirements and AI frameworks, designing Model Context Protocols (MCPs) and AI agents that make enterprise workflows smarter, faster, and more autonomous. In line with Gusto’s FY26 Enterprise Systems strategy, you will help shift our ERP and Finance systems from reactive workflows to predictive, context aware, and self improving platforms, while ensuring security, compliance, and measurable impact. This role combines hands-on technical execution with strategic systems thinking, using integration fluency, AI literacy, and business empathy to create the connective tissue that allows AI to seamlessly augment enterprise operations.

About the Team:

This role will report to the Enterprise AIT team, a group focused on driving the intelligent transformation of Gusto’s enterprise systems. The Enterprise AIT team is responsible for integrating AI, automation, and advanced analytics across our internal applications ecosystem to improve scalability, efficiency, and decision-making. Partnering closely with Finance, Business Ops, IT, and Security, the team enables Gusto’s enterprise systems to become smarter, more predictive, and more adaptive. This is a new role, designed to expand the team’s capacity to operationalize AI within enterprise workflows and support Gusto’s broader Enterprise Systems strategy.

Here’s what you’ll do day-to-day:

• Translate business needs into AI workflows by partnering with Finance and Business Operations teams to identify automation opportunities and design agentic workflows that improve decision making and reduce manual effort.
• Develop and maintain Model Context Protocols (MCPs) that securely and reliably connect enterprise systems such as NetSuite, Zuora, and Jira to AI agents, with clear documentation and optimization.
• Create and manage intelligent agents that execute or augment core enterprise processes such as onboarding, billing support, and compliance monitoring using large language models and orchestration frameworks.
• Govern the full lifecycle of MCPs and agents, ensuring adherence to enterprise data governance, privacy, and security standards, including SOX compliance, auditability, and appropriate access controls.
• Measure and optimize impact by defining and tracking KPIs such as automation adoption, efficiency gains, agent accuracy, reliability, and cost performance, and using those insights to guide iteration.
• Enable and influence the organization by partnering with IT, Security, and business stakeholders to build reusable AI frameworks, coach teams on safe and effective AI driven workflows, and champion AI first practices across day to day operations.

Here’s what we're looking for:

• 8+ years in Business Systems Analysis, Enterprise Applications, or Automation roles, with a track record of delivering impact in complex environments.
• Demonstrated experience building and maintaining integrations across systems such as Jira, NetSuite, or similar, with a strong grasp of APIs, JSON, and RESTful service design.
• Hands-on knowledge of AI agent frameworks (for example LangChain, CrewAI, Semantic Kernel, MCP) and experience designing or maintaining Model Context Protocols or equivalent frameworks.
• Familiarity with leading LLM platforms (OpenAI, Anthropic, Gemini etc.) and practical experience with prompt engineering.
• Proficiency in Python or JavaScript for automation, orchestration, and building modular, scalable AI workflows that translate complex requirements into executable solutions.
• Strong documentation, analytical, and stakeholder communication skills, with the ability to clearly explain tradeoffs and align technical solutions with business needs.
• Passion for building secure, compliant, and explainable AI systems, embedding risk, privacy, and compliance considerations (including SOX and audit controls) into every solution, with a growth mindset and focus on clarity, iteration, and measurable outcomes.

Our cash compensation amount for this role is targeted at $150,000-$165,000 /yr in Denver & most remote locations, and $185,000-$205,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. 

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. 

Responsibilities:

• Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Evolve data model and data schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• SQL and MapReduce job tuning to improve data processing performance
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
• Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
• Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
• Solid understanding of ETL processes, workflow orchestration, and data warehousing
• A collaborative mindset—you’re comfortable working across teams to solve real-world problems

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

Join our Mobile Tooling team, where we build foundational systems for Lyft's mobile engineers, enabling them to create stable, scalable, polished, and efficient mobile apps. We're passionate about developer experience, providing flexible tooling for rapid innovation.

Are you an enthusiastic engineer with a passion for crafting iOS productivity tools and robust infrastructure? Elevate your skills with our Mobile Tooling team, playing a crucial role in scaling development practices and iteration speed for hundreds of mobile engineers. We support apps with millions of lines of code, hundreds of modules, and industry-leading mobile build systems, keeping builds under 30 seconds locally and 15 minutes in CI.

We're proud of our apps, used by millions, reflected in excellent development practices and thoughtful code architecture designed for rapid releases. We focus on delightful user experiences, balancing our roadmap with a mix of developing new tools and infrastructure with refining existing ones based on direct feedback from our internal customers—other mobile engineers.

Watch some of our presentations:

• https://www.youtube.com/watch?v=-u40WqvdRsg
• https://www.youtube.com/channel/UC18tEI7YdUtg4bL9yxv1Xjg

Open source contributions:

• https://mobilenativefoundation.org/
• https://github.com/lyft/Hammer

Responsibilities:

• Work within our Mobile Tooling team and across the Lyft Mobile development community to create and maintain our mobile build and release infrastructure, building great tools for hundreds of mobile engineers to build, test, and release apps quickly, making their day-to-day joyful and productive.
• Guide your own and the team’s projects from start to finish, ensuring cross-functional alignment and buy-in. Exhibit strong project management capabilities, overcoming obstacles, and gaining necessary stakeholder support. Inform the Lyft Mobile community of any changes to the systems you oversee.
• Analyze systems and processes to identify areas for improvement and automation, including planning projects, assisting in prioritization, driving accurate estimations, and designing and leading architectural reviews to ensure performance, security, privacy, and maintainability.
• Dive into and contribute to the source code of existing tools and the open-source technologies we build on, keeping up-to-date with iOS and industry developments.  
• Explore, prototype, and implement prospective tools for scaling our infrastructure such as diving deep into Bazel remote execution or investigating new platform capabilities.
• Build out mobile specific AI agent workflows to enhance developer productivity, improve migration efficiency, and drive alignment across the codebase.
• Maintain and update Xcode, iOS versions, and third-party libraries dependencies.
• Write high-quality, well-tested, readable, and maintainable code.
• Identify, triage, debug, and resolve issues and bugs across various applications and tools.
• Share your knowledge by giving brown bags, tech talks, and promoting. appropriate tech and engineering best practices, and participate in code reviews to provide feedback to ensure best practices.
• Mentor junior engineers, support onboarding, participate in hiring processes or contribute to other engineering community investments.

Experience:

• Minimum 5+ years of software engineering industry experience
• Experience supporting large iOS or MacOS builds and Bonus: Bazel
• Experience in building command-line tools using python or bash
• Experience maintaining a high performance CI pipeline
• Strong knowledge of Swift and Bonus: SwiftUI
• Deep understanding of native mobile testing practices (unit, snapshot, and UI)
• Worked on and shipped large scale iOS applications or working on teams responsible for maintaining and operating infrastructure at a large-scale
• Great product sense; you care about usability and good design of your tools
• Ability to work with a low-ego, highly collaborative, and cross-functional team
• You have helped build teams that are motivated and value a strong sense of ownership and you have experience guiding teams through planning, prioritization, and execution of work.
• Bonus: Experience pursuing side projects or open-source projects
• Bonus: Experience with AI, agentic programming, and AI tools (such as Cursor) that enhance developer experience and productivity.

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our core purpose is to serve and connect, fostering a workplace where every team member belongs and has the opportunity to thrive.

Join our Mobile Tooling team, where we build foundational systems for Lyft's mobile engineers, enabling them to create stable, scalable, polished, and efficient mobile apps. We're passionate about developer experience, providing flexible tooling for rapid innovation.

Are you an enthusiastic engineer with a passion for crafting iOS productivity tools and robust infrastructure? Elevate your skills with our Mobile Tooling team, playing a crucial role in scaling development practices and iteration speed for hundreds of mobile engineers. We support apps with millions of lines of code, hundreds of modules, and industry-leading mobile build systems, keeping builds under 30 seconds locally and 15 minutes in CI.

We're proud of our apps, used by millions, reflected in excellent development practices and thoughtful code architecture designed for rapid releases. We focus on delightful user experiences, balancing our roadmap with a mix of developing new tools and infrastructure with refining existing ones based on direct feedback from our internal customers—other mobile engineers.

Watch some of our presentations:

• https://www.youtube.com/watch?v=-u40WqvdRsg
• https://www.youtube.com/channel/UC18tEI7YdUtg4bL9yxv1Xjg

Open source contributions:

• https://mobilenativefoundation.org/
• https://github.com/lyft/Hammer

Responsibilities:

• Work within our Mobile Tooling team to create and maintain our mobile build and release infrastructure, building great tools for hundreds of mobile engineers to build, test, and release apps quickly, making their day-to-day joyful and productive.
• Manage projects from start to finish, ensuring cross-functional alignment and buy-in. Exhibit project management capabilities, overcoming obstacles, and gaining necessary stakeholder support. Inform the Lyft Mobile community of any changes to the systems you oversee.
• Dive into and contribute to the source code of existing tools and the open-source technologies we build on, keeping up-to-date with iOS and industry developments. 
• Explore, prototype, and implement prospective tools for scaling our infrastructure such as diving deep into Bazel remote execution or investigating new platform capabilities.
• Build out mobile specific AI agent workflows to enhance developer productivity, improve migration efficiency, and drive alignment across the codebase.
• Maintain and update Xcode, iOS versions, and third-party libraries dependencies.
• Write high-quality, well-tested, readable, and maintainable code.
• Identify, triage, debug, and resolve issues and bugs across various applications and tools.
• Share your knowledge by giving brown bags, tech talks, and promoting. appropriate tech and engineering best practices, and participate in code reviews to provide feedback to ensure best practices.

Experience:

• Minimum 3+ years of software engineering industry experience
• Experience in one or more of the following: supporting large iOS or MacOS builds (Bonus: Bazel), building command-line tools using python or bash, or maintaining a high performance CI pipeline.
• Knowledge of Swift and Bonus: SwiftUI
• Understanding of native mobile testing practices (unit, snapshot, and UI)
• Worked on and shipped iOS applications
• Great product sense; you care about usability and good design of your tools
• Ability to work with a low-ego, highly collaborative, and cross-functional team
• Bonus: Experience pursuing side projects or open-source projects
• Bonus: Experience with AI, agentic programming, and AI tools (such as Cursor) that enhance developer experience and productivity.

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

About Behavox

Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.

About the Role

The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.

At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.

What You'll Bring

• Expert Java engineering: Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java.util.concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis. Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot). SOLID principles, Clean Code practices, and GoF design patterns
• Software architecture and design patterns: Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition. Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation
• Cloud-native platforms and infrastructure: Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure. Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE. Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology
• Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases
• AI-assisted engineering: Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures. Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory

What You'll Do

• Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages
• Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component)
• Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes
• Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions
• AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability

What We Offer

• The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies
• A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence
• A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families
• Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities
• A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance

About Our Process

Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.

As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.

We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.

Please note the following:

• A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
• Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.

The Role

AI is no longer a roadmap item — it's the operating system for how modern growth teams win. We're hiring a AI Native Engineer, Growth Marketing to be the hands-on builder who embeds AI into every corner of how our Growth team works: performance marketing, creative production, CRM, landing pages, growth ops, and beyond.

This is a rare hybrid role. You're equal parts engineer and growth practitioner — someone who can write a Python script in the morning, ship a Braze-connected AI workflow by afternoon, and explain the business impact to a non-technical stakeholder by EOD. You don't need to have done this at scale before — you need to be obsessed with building at the frontier of what's possible and have the technical chops to make it real.

You'll report directly to the Head of Growth and work across every subteam in the Growth org as their embedded AI engineer.

Responsibilities:

• Performance Marketing: Build AI-powered tools to automate bid strategy analysis, budget pacing alerts, creative performance scoring, and anomaly detection across paid channels (SEM, Meta, Affiliate, YouTube, etc.)
• Creative Studio: Develop AI workflows for ad copy generation, creative brief automation, image asset variation at scale, and creative performance feedback loops between analytics and the studio team
• CRM & Lifecycle: Implement AI-driven personalization and send-time optimization across email, SMS, push, and in-app channels; build agentic workflows that pull Snowflake data, generate segment logic, and trigger Braze campaigns with minimal manual intervention
• Landing Pages & Conversion: Automate LP variant generation, headline testing ideation, and personalization logic by audience segment or traffic source
• Growth Ops: Build internal AI tools — dashboards, Slack bots, report generators — that reduce repetitive analytical work and accelerate decision-making across the team
• Growth Product: Partner with Product and Engineering to identify where AI-powered features (recommendations, dynamic content, smart nudges) can accelerate funnel conversion and retention
• Tooling & Infrastructure: Evaluate, implement, and maintain the AI/ML toolstack that powers Growth — from LLM APIs to workflow orchestration tools to data pipelines

What Success Looks Like

• A measurable reduction in manual hours across mundane Growth through AI-driven automation
• At least 5-10 production-grade AI tools or workflows live and actively used by the team within the first 4 months
• CRM campaigns that are more personalized, faster to launch, and higher-performing because of AI assist
• Creative output volume increases without a proportional increase in headcount
• The Growth team thinks of you first when they want to do something smarter, faster, or at scale

Qualifications:

• 2–5 years of engineering or technical experience, with meaningful hands-on work applying AI/LLMs to real business problems (side projects count — we care about what you've built, not just where)
• Proficiency in Python or Typescript and comfort working with APIs (OpenAI, Anthropic, or similar LLM providers)
• Build repeatable skills or plugins for popular LLM clients to empower your team
• Educate and mentor team members to become more AI-Native
• A builder's mentality: you'd rather ship a working prototype than write a spec about one
• Ability to work cross-functionally and translate between technical and non-technical stakeholders

Preferred requirements:

• Experience with workflow orchestration tools (Agent SDK, n8n, Make, Zapier, or custom Typescript/Python pipelines)
• Prior work at a DTC subscription company or growth-stage startup
• Familiarity with prompt engineering, RAG architectures, or fine-tuning
• Experience building internal tools used by non-technical teams
• Familiarity with marketing platforms and data infrastructure — ideally some combination of Braze, Google Ads, Meta Ads Manager, Snowflake, or equivalent
• Strong enough understanding of growth marketing to ask the right questions and build tools that practitioners actually want to use

Technologies You'll Use

• LLM APIs: OpenAI, Anthropic, and/or open-source models
• CRM & Marketing: Braze, Google Ads, Meta Ads Manager
• Data: Snowflake, SQL, Tableau, dbt, Hex
• Orchestration: Typescript, Agent SDK, Vercel AI SDK, Python, n8n, Make, or similar
• Collaboration: Slack, Notion, Jira, Google Workspace

Benefits

 🩺 Health Insurance coverage (Canada Life)

⛱ Flexible Paid Time Off

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave.

🕯 Compassionate Leave: 3-5 days each time the need arises

🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly.

🧘🏽‍♀️ Wellness perks: fitness subsidies to build a healthy lifestyle

👩🏾‍🏫 Personalized Spanish coach

🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

As Marqeta’s  Manager of Service Delivery & Partner Performance you'll be at the forefront of transforming customer support into a competitive advantage. This role puts you in the driver's seat to revolutionize how we deliver exceptional cardholder experiences through data-driven insights, cutting-edge technology, and strategic partnerships.

You'll have the autonomy to identify opportunities, architect solutions, and implement change that measurably elevates our support operations and cardholder’s experience. Working with talented cross-functional teams and strategic BPO partners, you'll not only meet KPIs and SLAs—you'll redefine what excellence looks like in fintech customer support.

This is your opportunity to make a tangible impact on cardholders while building a high-performing support ecosystem. You'll shape performance standards, drive operational transformation, and create the frameworks that scale as Marqeta grows. If you thrive on turning data into action, building collaborative partnerships, and seeing your strategies deliver real results, this role is your platform to shine.

We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!

This position is not for an existing vacancy.

The Impact You’ll Have

• Performance Fanatic: You don’t sit around and wait for things to happen. You strategize, plan, and monitor a path to operational success based on the right data.
• BPO Vendor Management: Manage the operational success of multiple programs across multiple products through building and maintaining effective relationships with operational BPO site leadership
• Performance Analysis & Reporting: Monitor and analyze contact center data (KPIs, metrics) to identify trends and areas for improvement.
• Process Optimization: Identify gaps, develop and implement sustainable and scalable solutions  to enhance operational efficiency, workflows, and customer satisfaction.
• Quality Assurance & Compliance: Define what great looks like and collaborate with QA and Complaints teams to ensure adherence to quality standards and compliance requirements.
• Technology Implementation: Utilize and drive enhancements through new tooling and AI solutions across our telephony, IVR and CRM system to improve agent efficiency and effectiveness 
• Leadership & Coaching: Motivate staff, provide coaching, and influence positive outcomes to cultivate a high-performing culture.
• Escalation Management: Resolve complex customer issues during moments of truth.
• Cardholder Experience Optimization: Foster strong relationships with key Program stakeholders to collaborate on enhancing cardholder experience through sharing expertise, CSAT/QA results and data drive operational efficiencies
• Change Management: Central role to new program launches and existing program refreshes
• Marqeta Culture Carrier: Champion culture cross-functionally through actively embodying Marqeta values, enhancing engagement, and facilitating culture-building activities 

Who You Are

• 7+ years of Customer Support Operations with equivalent years of experience in BPO industry or management of BPOs
• Strong communication skills (interpersonal, verbal, presentation, written, email) and track record of creating and executing strategic operational efficiencies 
• Demonstrated ability to drive customer satisfaction and experience using people, processes or technology to deliver exception outcomes
• Proven ability to influence and manage stakeholders (internal and external) to achieve positive outcomes
• Experience using data to drive insights and recommend changes for improvement
• Strong technical aptitude including Google Suite, Salesforce, Slack and contact center telephony systems (ex. Amazon Connect)
• Familiarity and first-hand knowledge in fintech, banking or payments
• Positive attitude, team player, adaptable, and resourceful
• Detail-oriented, organized, and adept at managing competing priorities
• Exercises sound judgement and decision-making across diverse scenarios
• Ability to travel globally

Nice-To-Haves

• Deep knowledge of payment processing, program management and/or issuing of debit and credit cards
• Demonstrated ability to manage and operate Amazon Connect
• Strong operational and customer-facing documentation skills with the ability to produce clear, engaging internal and external support guides
• Experience implementing and growing communication channels beyond phone and email
• Proven success in integrating AI solutions into BPO operations from generative AI tooling to agentic implementation of voice or chatbots

Your Manager

• Jena Baker, Ops Director of Global Customer Support Operations

Typical Process

• Application Submission
• Recruiter video call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls

Compensation and Benefits

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

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD,  is: 114,500 - 143,000

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

Along with monetary compensation, Marqeta offers

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

As a Sales Development Representative, you are representing Ada as the first point of contact with potential clients. You'll become an expert on communicating the value of our AI Agents, consulting with prospective clients across different industries, learning about their business challenges and goals, and how Ada can help. You'll go through an amazing training program where you'll gain product knowledge and learn to use a variety of sales tools. If you are looking forward to rolling up your sleeves and making an impact not only on Ada's growth but on the success of the businesses you'll be working with, this role is definitely for you. 

Please note: this is a hybrid position with an expectation to work from the Toronto office 4 days per week. 

About You

• You have excellent written and verbal communication skills.
• You’re results-driven but the team is greater than the sum of its parts. 
• You are deeply curious, crave feedback, and are excited about learning in an accelerated environment.
• You are highly motivated and love to make cold calls.
• You are an outside-the-box thinker, this job will test your creativity and adaptability.
• Previous SaaS experience is a plus, but there are many pathways to sales success!

Outcomes

• Crafting and deploying personalized omni channel campaigns to prospective clients.
• Qualifying prospective clients on video and phone calls.
• Becoming an Ada product expert.
• Developing new outbound prospecting strategies, and optimizing existing ones.
• Using modern sales tools including Outreach, Linkedin, Gong, Vidyard, and Salesforce.
• Collaborating with Account Executives to build long-term relationships with new accounts.

#LI-NS1

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Toronto

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

#LI-RO

Senior Manager, Partner Growth Marketing

Location: Toronto

Reports to: VP Acquisition & Lifecycle Marketing

About the Role

Opendoor growth depends on reaching sellers - and not all of them find us directly. Many come through agent referrals. Homebuilders introduce Opendoor to customers trading up. Real estate platforms put our offer in front of homeowners who might not find us otherwise. Strategic partners touch sellers at exactly the right moment.

This role owns the demand gen programs across all of it — campaign execution, performance optimization, and channel growth for partner-based initiatives. You run the programs that make each channel produce, end to end. You'll work closely with Opendoor's partnerships, acquisition, lifecycle marketing, and product teams to coordinate across channels and ensure partner-driven channels are a meaningful contributor to Opendoor’s business.

Core Responsibilities

1. Agent Acquisition

• Own strategy, messaging, and audience targeting for agent acquisition programs — identifying high-value agent cohorts and brokerages, and building programs that bring new agents into the Opendoor ecosystem across paid social, direct mail, and email.

• Work closely with the partnerships and account management teams to align marketing programs with agent recruitment and relationship priorities.

• Support Opendoor's presence at major real estate industry events through marketing programs that drive agent awareness and engagement.

• Measure agent-attributed acquisition volume and CAC, and optimize toward efficiency as the channel matures.

2. Agent Performance & Engagement

• Track agent channel performance daily — monitor which partners and cohorts are up or down, diagnose what's driving changes, and drive programs to move the needle.

• Design and run agent incentive and promotion programs that keep top partners engaged and reinvigorate underperforming ones.

• Engage with agent partners directly to gather feedback, surface what's working on the ground, and translate that into program improvements — partnering with account teams who own the broader relationship.

• Coordinate with the partnerships team to request training, on-site activations, and other support that keeps agent partners informed and activated.

3. Partner & Platform Programs

• Own co-branded acquisition campaigns with online real estate partners and homebuilders — optimizing messaging, targeting, and placement to drive conversion from partner traffic, including campaigns targeting builder sales reps and their trade-up customers.

• Build acquisition programs through seller-adjacent partnerships — companies that reach sellers at key life moments — and activate marketing programs as the partnerships team brings new partners online.

• Work closely with product and partnerships to ensure embedded SDK integrations are backed by marketing support that drives contracts, not just placements.

• Measure partner-attributed CAC across all programs and optimize toward efficiency.

4. GTM & Channel Enablement

• Own the promotional calendar across partner channels — co-branded emails, seasonal campaigns, product launches, and joint retargeting programs that keep Opendoor top of mind.

• Build and maintain partner-facing marketing materials: messaging guides, campaign toolkits, and content that helps partners promote Opendoor effectively.

• Work closely with partnerships, account management, lifecycle, and acquisition teams on partner-specific audience strategies — shared audiences, joint retargeting pools, and sequenced nurture programs.

• Identify what's working in one channel, apply it across others, and continuously optimize the mix toward partner-attributed contracts.

Who You Are

Experience:

• 5–7+ years in demand generation or growth marketing, with experience running programs across multiple channels simultaneously

• B2B2C background — you've marketed to professionals (agents, brokers, reps) who influence or refer consumer decisions, not just end consumers directly

• Proven track record measuring CAC and optimizing channel mix across paid, email, direct mail, and partner programs

• Comfortable launching net-new programs with limited playbook — you've built channel programs from scratch, not just optimized existing ones

Technical Skills:

• Comfortable building and running campaigns directly across paid social (Meta, LinkedIn), email, and direct mail — and equally comfortable briefing and partnering with channel teams when that's the right move

• Understands both acquisition and lifecycle marketing well enough to drive programs across both

• Proficient in SQL or comfortable enough with data to pull your own performance analysis

• AI-native: you use AI tools daily to move faster — campaign analysis, copy generation, audience research, workflow automation

Mindset:

• Multi-channel thinker: you don't default to digital — you find the channel that reaches the audience, not the audience that fits your channel

• CAC-obsessed: every program has a cost and a return, and you track both

• Executor: you own programs end to end — building and running campaigns directly when it makes sense, and partnering with channel teams when that's the right move

• Comfortable engaging partners directly — you can have a productive conversation with a partner to gather feedback and drive programs, while knowing when to loop in the account team on relationship and operational questions

Bonus Points

• Experience in real estate, proptech, fintech, or other high-consideration consumer verticals

• Affiliate or referral program management experience

• Familiarity with Opendoor's partner ecosystem (agents, ORE platforms, homebuilders)

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

Location

This role requires working from the downtown Toronto office 4 days/week (Mon, Tues, Thurs, Fri). Candidates must be based within a 50-mile commuting distance of the office. 

About the Role

As a Finance Automation Lead at Opendoor, you will join the Finance team reporting to the President of Opendoor with a mandate to 10x our data leverage across Finance. This is a high-impact IC role at the intersection of data architecture, AI engineering, and financial systems.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it. You are a builder with a product mindset who will help transform Finance from a service function into a product—one that delivers real-time insights, automated workflows, and self-service capabilities to every team at Opendoor. You understand how LLMs work, you’ve built agents, and you understand how finance data can be leveraged and structured with these models. 

Build AI-Powered Finance Infrastructure

• Design and deploy AI agents that automate data fetching, analysis, reporting, and forecasting workflows

• Architect data pipelines connecting financial planning systems (Adaptive) to Snowflake and downstream applications

• Build semantic layers that enable non-technical finance team members to access data through natural language

Create Finance Tools & Products

• Develop internal tools that transform manual finance processes into automated, scalable products

• Build dashboards and self-service interfaces that eliminate analyst bottlenecks

• Create systems that enable managers to answer their own headcount, budget, and forecast questions without finance intervention 

Own Data Architecture for Finance

• Organize finance data for best-in-class LLM capabilities

• Design data models that support automated analysis, real-time querying, and AI agent interactions

• Establish data quality frameworks and governance for financial systems

Drive Automation at Scale

• Identify high-value automation opportunities across Finance (accruals, reporting, forecasting, variance analysis)

• Implement workflow automation using tools like Gumloop, Claude, and custom-built agents

• Measure and improve automation accuracy, reducing manual intervention over time

What You Will Bring

Technical Foundation

• At least 3+ years of experience building data systems in a finance, analytics, or data engineering role

• Track record of building and deploying AI agents or LLM-powered applications in production environments

• Advanced SQL proficiency with ability to design complex data models and optimize query performance

• Production experience with Python for data engineering, automation, and AI agent development

• Hands-on experience with modern data warehouses (Snowflake, BigQuery, or similar)

AI & Automation Expertise

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Familiarity with AI orchestration frameworks (LangChain, LlamaIndex, or similar)

• Proven ability to identify high-ROI automation opportunities and implement end-to-end solutions

• Experience with workflow automation tools and API integrations

Data Architecture & Systems Design

• Strong data modeling skills with focus on enabling both human analysts and AI agents

• Experience designing data pipelines that connect planning systems (like Adaptive, Anaplan) to data warehouses

• Understanding of data governance, quality frameworks, and metadata management

• Ability to architect scalable systems that reduce analyst bottlenecks and enable self-service

Product & Business Mindset

• Builder mentality with ability to ship functional products, not just analyses

• Experience translating messy business problems into clean technical solutions

• Strong stakeholder management skills with ability to influence senior finance leadership

• Comfort working in ambiguous, fast-moving environments with evolving requirements

• Systems thinking approach to understanding complex problems and their root causes

Bonus points if you have:

• Experience in fintech, real estate tech, or high-velocity transaction businesses

• Background in financial planning & analysis (FP&A) or corporate finance

• Familiarity with finance-specific tools (Adaptive Insights, NetSuite, etc.)

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-DM

#LI-Onsite

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Toronto, Ontario

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We’re already trusted by leading enterprises and developers with over $5T under management with Boosted.ai.

From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation.

Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We’re looking for sharp, low-ego people to help teams find their edge.

Why is Boosted.ai the best place to work?

• Our product is used every day by investors at the world’s largest financial institutions and most popular investment platforms
• We’re scaling quickly. We have ramped roughly 5× over the past year and growth is accelerating
• We’ve built a culture people actively want to be part of. Many of our strongest applicants come from firms that already use Boosted.ai
• We’re well-capitalized and long-term focused, backed by investors who have helped define modern fintech and enterprise software, including Spark Capital, Ten Coves Capital, Portage Ventures, and RBC.

Position Description

Boosted.ai is seeking a highly motivated, results-oriented Client Solutions Developer to join our rapidly growing team. In this role, you will partner closely with our clients—especially large enterprise accounts—and internal stakeholders to turn client needs into concrete technical solutions. You will build client-facing demos and proofs-of-concept, develop internal tooling for agent evaluation and deployment, and create integrations that connect Boosted.ai to client data sources and workflows.

You will initially focus on mastering our platform, shipping high-quality demos and internal tools, and supporting implementations with well-scoped, maintainable code. You will collaborate with Client Solutions, Engineering, and Product to ensure the successful implementation of our platform (including API-level integrations and data pipelines) and help clients leverage advanced AI technologies to achieve their investment goals. You will also work cross-functionally to reduce delivery overhead, improve reliability, and standardize patterns that make future client work faster and more repeatable. As you grow in the role, you will be expected to take on more strategic responsibilities, such as defining core tooling for agent evaluation, shaping integration patterns, and leading the technical work for major enterprise client engagements.

This is an excellent opportunity for an ambitious developer eager to build a career at the intersection of software engineering, client delivery, and cutting-edge AI technology. We are looking for a candidate who is not only ready to ship production-quality code, but also excited to work directly with client-facing teams, understand real-world constraints, and help design solutions that unlock new AI use cases for the financial industry. If you are a highly motivated, entrepreneurial self-starter with a natural curiosity, we would love to chat!

What You'll Do

• Build client-facing demos and proofs-of-concept that showcase platform capabilities tailored to specific enterprise use cases.
• Develop internal tools for Client Solutions, including evaluation harnesses, prompt management interfaces, and deployment automation.
• Create integration adapters and connectors for client data sources, authentication systems, and workflow tools.
• Automate repetitive delivery workflows to reduce manual overhead and help the team scale.
• Partner with Client Solutions to scope technical requirements and translate client needs into implementable solutions.
• Collaborate with core Engineering on shared infrastructure while maintaining independence for client-specific work.

What We're Looking For

• 3–5 years of professional software development experience with strong fundamentals in at least one backend language (Python preferred) and modern JavaScript/TypeScript.
• Experience building APIs, integrations, and data pipelines, and comfort working with REST, GraphQL, and enterprise authentication patterns.
• Comfort working with LLMs in production contexts, including using LLM APIs and understanding tradeoffs like latency, reliability, and cost.
• Strong foundations in software infrastructure, including debugging production issues, improving reliability, and working with cloud and deployment tooling.
• Familiarity with AI/ML concepts, ideally with hands-on experience using LLM APIs, prompt engineering, or agent frameworks.
• Strong product intuition, with a focus on user problems rather than just technical implementations.
• Excellent communication skills, including working directly with clients and translating between technical and business contexts.
• Ability to work cross-functionally across Client Services, Product, and Engineering, and coordinate effectively in ambiguous environments.
• Ability to move fast and iterate quickly while maintaining high quality and maintainability.
• Comfort with ambiguity and evolving client requirements and priorities.
• Self-direction and the ability to identify valuable work without constant guidance.

Nice to Have

• Experience in fintech, financial services, or enterprise SaaS.
• Background in consulting, professional services, or other client-facing technical roles.
• Familiarity with agent architectures, evaluation frameworks, or prompt engineering best practices.
• Experience with data visualization, dashboarding, or analytics tools.

Expected Achievements

• First 30 Days
  • Complete platform onboarding and gain working knowledge of the agent architecture and integration patterns.
  • Ship your first internal tool or automation that improves team productivity.
  • Build relationships with Client Solutions and understand their most pressing tooling needs.
  • Review existing client demos and identify opportunities for improvement or standardization.
• First 60 Days
  • Deliver a client-facing demo or proof-of-concept for an active sales opportunity.
  • Establish a development workflow that enables rapid iteration on client requests.
  • Contribute to at least one enterprise integration project and gain context on client technical environments.
  • Document patterns and create reusable components that speed up future development.
• First 90 Days
  • Complete a significant automation project that measurably reduces manual delivery overhead.
  • Build credibility with enterprise clients as a reliable technical resource.
  • Establish cross-functional relationships with Engineering and Product that enable effective collaboration.

Compensation

At Boosted.ai, we believe in fair and transparent compensation practices. The base salary range for this full-time position is CAD $110,000 – $130,000, which represents the minimum and maximum target salary for new hires in this role. Actual salary will be determined based on factors such as experience, skills, and location. In addition to base salary, this role is eligible for equity participation by way of stock options, subject to the terms of the applicable plans and policies.

Our Values

We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do.

• Collaborative – We value our team and know that success can only come from working together
• Client Centric – Our focus is always on our clients and consistently delivering them value
• Action Oriented – We remove barriers and we seek to improve in measurable ways
• Accountable – We are accountable for ourselves, and we hold each other accountable
• Respectful – We are proud of our work, we are respectful of each other’s opinions, and we keep a positive attitude

What we offer

We want our benefits to reflect our values and offer the following to full-time employees:

• Flexible (Unlimited) Paid Time Off
• Medical, Dental, and Vision benefits for you and your family
• Life Insurance and Disability Benefits
• Paid Parental Leave
• Free access to use Boosted.ai Alfa™ to make money
• We love the energy of in-person collaboration while also offering the flexibility to work from home when needed

These benefits are further detailed in Boosted.ai’s policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Boosted.ai’s equity plans subject to the terms of the applicable plans and policies.

Be you, with us

We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, colour, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

This posting is for an existing vacancy. We do not use artificial intelligence to screen, assess, or select applicants. All candidates who are interviewed will be notified of our hiring decision within 45 days of their last interview.