About the role:

What you’ll do:

• Own end-to-end execution across operational workflows; handle exceptions, escalations, and anything that falls outside automated processes
• Work directly with third-party providers, vendors, and community or regulatory bodies to resolve issues and move cases to resolution
• Validate AI-generated outputs; take ownership of quality, accuracy, and effectiveness before downstream impact
• Manage a high volume of open cases simultaneously against hard deadlines
• Cross-train across workflows to cover volume variability
• Identify process gaps and give feedback on where tools or workflows need to improve

What you’ll bring:

• Comfort working with AI tools and a genuine interest in using technology to work faster and smarter; you don't wait for systems to do your job, you figure out how to make them work for you
• Strong project management instincts with the ability to drive multiple workstreams to hard deadlines
• Persistence and follow-through when working with unresponsive third parties
• High accountability and urgency around deadlines with direct customer impact
• Strong communication skills: you'll manage external relationships, negotiate, escalate issues, and resolve disputes by phone and in writing
• Attention to detail and strong documentation habits across a large portfolio
• Comfortable working in a high-ambiguity environment where you're helping build the playbook
• Background in operations, case management, project coordination, property management, real estate, insurance, mortgage/escrow, or similar is a plus
• Opendoor is actively consolidating its internal tooling stack; comfort with new systems and change is essential

About the Role

iCapital is seeking a high performing Vice President, Alternatives Distribution to lead sales coverage for the Ontario region. As a senior sales leader, this role will be responsible for driving adoption of alternative investment solutions across Canadian registered dealers, investment advisors, family offices, and private wealth platforms. This role sits within iCapital’s Canadian Alternatives Distribution business and will play a key role in deepening advisor engagement, scaling the distribution footprint, and contributing to the continued growth of the alternative’s ecosystem in Canada.

Responsibilities

• Build deep expertise across a curated offering of private credit, private equity, real estate, infrastructure, and hedge fund strategies.
• Develop and execute a proactive regional coverage plan to expand iCapital’s presence among advisors and dealer platforms.
• Use a consultative sales approach to acquire new relationships, expand existing accounts, and provide exceptional ongoing client service.
• Deliver thoughtful advisor education on incorporating alternative investments into diversified client portfolios.
• Partner with Canadian leadership to refine the coverage model (i.e. regional segmentation, territory optimization, investor base analytics).
• Lead onboarding and engagement of new advisor relationships onto iCapital’s platform to facilitate product access and adoption.
• Collaborate across iCapital’s stakeholders position the firm’s value proposition and service offerings effectively.
• Represent iCapital at regional and national industry events, conferences, and advisor seminars.
• Maintain a high level of professionalism and market presence as one of the senior external faces of the Canadian distribution business.

Qualifications

• 10+ years of client facing experience in the Canadian investment industry (i.e. external wholesaling, capital raising, national accounts, client portfolio management, product specialist roles)
• Bachelor’s degree is required
• Demonstrated success selling or supporting a diverse range of investment strategies, ideally with exposure to alternative investments
• Direct relationships with Canadian banks, independent dealers, family offices, and investment advisors within the target region
• CFA or CAIA certification or progress toward completion is preferred
• Meets the regulatory requirements to be registered as a Registered Individual (Exempt Market Dealer) CIM designation or CSC completion is preferred
• Highly motivated self-starter who thrives in an entrepreneurial, growth-oriented environment with limited oversight
• Outstanding relationship building, communication, and presentation skills

Benefits

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

iCapital offers a comprehensive benefits package that includes a competitive total compensation package consisting of salary, bonus, and equity for all full-time employees.   The Company pays 100% of the premium for all Group Benefits for you and your dependents.  Some of these benefits include medical, dental, vision, prescription, life insurance and long-term disability.  We offer a variety of Retirement Plans which have a company match.   We offer unlimited Paid Time Off (PTO) and most employees the flexibility to work in the office three to four days and remotely for the remainder of the week.  Every department has different needs, and some positions will be designated in-office jobs, based on their function. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us 
Twitter: @icapitalnetwork |
LinkedIn: https://www.linkedin.com/company/icapital-network-inc
Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to support a fair and inclusive workplace, in which all applicants have an opportunity to fulfill their potential and every person has the right to equal treatment with respect to employment without discrimination.  iCapital does not tolerate any discrimination contrary to the Ontario Human Rights Code, including on the grounds of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability.

S'more about the team

Conversions Tech empowers our meal brands to achieve ambitious growth targets through a seamless and high-performing conversion funnel. As a part of the Growth Alliance, we drive the next chapter of growth for HelloFresh group by powering marketing with advanced MarTech capabilities and product innovation. We focus on (re) acquisition, conversion optimization, and data-driven growth strategies.

As an Engineering Manager for Conversions Onboarding, you will lead a team focused on building post-checkout tools and services that help customers experience HelloFresh in the most effective ways. You’ll work closely with marketing, data, and product teams to create a positive first impression of the digital product by removing post-checkout distractions and personalizing the welcome space. These capabilities are an important building block of our growth strategy at HelloFresh and contribute directly to the success of our mission to change the way people eat forever.

Lettuce share what this role will be responsible for

• Lead, inspire, and grow a cross-functional team of engineers (React Native / Web) while ensuring smooth delivery of new products and continuous improvements to your team’s tech real estate.
• Drive architectural and design decisions in the team, having a strong focus on the highest quality standards, engineering best practices, and operational excellence.
• Ensure close collaboration and joint decision-making between different engineering teams and stakeholders, especially product leads.
• Participate actively in the tribe leadership team, with the goal to shape and evolve our culture of collaboration and mutual support.
• All other duties, as assigned

Sound a-peeling? Here's what we're looking for

• 6+ years of experience on an agile software development team, preferably in a lead or senior role for at least 2+ years
• A strong product mindset with the ability to balance speed of experimentation with reliability and data quality
• Experience working with component-based frontend architecture using ReactJS and working with frameworks such as Next.js.
• Exposure to mobile app development, either through React Native or native iOS/Android
• You can actively contribute to the system design process using event-driven architecture. Experience with domain-driven design is a plus. 
• Experience writing unit/integration/function test cases, as well as with formalized testing methodologies (i.e., TDD, BDD)
• You are a humble leader who is able to motivate a team and propel them to their full potential
• You are self-organized and can operate autonomously in a demanding, fast-moving environment.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

The Product

Okta’s Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation.

The Team

The Organizations team is expanding Auth0 to help B2B SaaS applications easily manage access for their own customers and partners, at scale. We make it possible for enterprise SaaS users to log in with the right set of permissions within the right context, and for our B2B customers to onboard access for their customers easily. Our work is cross-cutting and always heavily customer driven.

We work in NodeJS (JavaScript and TypeScript) and use PostgreSQL for our data needs. Our services run on AWS and Azure and we lean heavily on containers for both our development and production needs.

If you have keen eye for good user experiences and enjoy solving hard problems at scale we can’t wait to talk to you.

What you’ll be doing 

• Manage, mentor and coach a team of 9 remote engineers, with seniorities up to Staff Engineer level
• Effectively partner with your Product Manager on planning and delivering the team’s quarterly and annual roadmap
• Own and be accountable for the quality of the team’s technical estate, effectively managing technical debt, addressing security vulnerabilities and ensuring wider cross-team technical initiatives are delivered in a timely manner
• Review, provide feedback and help steer the technical design of the features the team is delivering, ensuring these can meet the scale at which Auth0 is operating
• Work with other engineering managers in the group to drive cross-team projects and leadership initiatives

What you’ll bring to the role

• You effectively bridge the asks and needs of the business and the team itself with successful outcomes
• You are people-oriented,  and know how to best support your reports to elevate them to next levels of performance. You have experience growing engineers to the next level, and bringing off-track engineers back on track.
• You have worked on projects that required close collaboration with external teams, and have experience making those a success.
• You bring solid architectural knowledge, backed by experience in designing, implementing and evolving complex distributed systems. In particular, you can spot areas where scalability and performance might be affected.
• You know how to track and steer a project to successful and timely delivery.

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

• Knowledge of authentication protocols such as OAuth2, OIDC, SAML.
• Understanding of event-driven architectures, especially Apache Kafka.

#LI-Hybrid
#LI-EZ1

P15537_3419576

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

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.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

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

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

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

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

Location

This is an in-person role that must be performed from the Phoenix, AZ office. Candidates must be able to be physically present in the office 4 days a week.

About the Role

We’re seeking an exceptional Senior Accountant to join our Accounting & Finance team. The ideal candidate brings a strong foundation in accounting, public company experience, and a forward-looking mindset around automation and AI-driven process improvement. You’ll be expected to apply sound judgment on accounting matters while identifying opportunities to modernize how the team operates.

What You Will Do

• Leverage AI tools and emerging technologies to streamline accounting workflows, enhance data analysis, and support scalable processes as the business grows
• Design, recommend, and implement automation initiatives (e.g., scripting, workflow tools, ERP enhancements) to reduce manual effort and improve close efficiency
• Prepare and review journal entries, and month-end close deliverables including balance sheet reconciliations, flux analyses, and bank reconciliations — ensuring completeness, accuracy, and well-documented support.
• Support the preparation of Opendoor’s consolidated financial statements and assist with external financial statement audits, including SOX and internal controls documentation, audit support, and controls testing
• Prepare monthly consolidation and elimination journal entries, including transactions involving multiple currencies and intercompany activities. 

What You Need

• Bachelor’s degree in Accounting or Finance
• Minimum 3+ years of progressive accounting experience in a fast paced environment
• Familiarity with automation and AI/ML tools (Chat GPT, Claude) and a willingness to explore how emerging technology can improve accounting processes
• Experience with SOX compliance and internal controls over financial reporting
• Proficiency in Microsoft Excel (advanced functions, pivot tables, lookups) and comfort working with large datasets
• Exceptional organizational skills and attention to detail, with the ability to manage multiple priorities during close
• Excellent written, verbal, and interpersonal communication skills.
• Ability to meet deadlines, independently manage your time, and be self-motivated in a fast-paced environment

Bonus Points If You Have

• Licensed CPA or CPA candidate
• Real estate accounting experience or exposure to inventory-based business models
• NetSuite or other enterprise ERP experience (Oracle, SAP, Workday)
• Experience building or improving automated reconciliations or close management workflows
• Prior experience at a high-growth or publicly traded technology company, or a Big 4 accounting firm. 

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-RM

#LI-Onsite

Who We Are

At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we’re the team behind Money Mart—Canada’s largest non-bank branch network—and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect over a million customers a year to the money they need, when they need it.

At MFSG, we come together across teams and departments to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you're solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We’ve Got You Covered

Compensation Philosophy: We regularly review industry standards to ensure our total rewards package is competitive and fair. This commitment helps us attract and retain talented individuals who share our purpose.

Discretionary Annual Bonus: Enjoy the opportunity for a discretionary bonus based on individual performance and company success.

Comprehensive Benefits: Our benefits include health and dental plans with 100% of the premiums covered. We also offer an Employee Assistance Program to support your mental well-being and provide resources for personal challenges.

Retirement Plans: Plan for your future with our robust retirement savings options, ensuring you’re set for the long haul.

Hybrid Work Environment: Experience the best of both worlds with our hybrid work model, allowing you to balance remote work with in-office.

Perks and Rewards: Enjoy reimbursement for tuition assistance and professional development, discounts through Perkopolis and participate in our rewards and recognition programs to celebrate your contributions.

The Job: Collections Support Specialist

We are seeking a Collections Support Specialist to join our team. This position is responsible for supporting credit counselling/insolvency, deceased, third‑party agency initiatives, and call center operations as required.

What You’ll Do

Credit Counselling and Insolvency Support:

• Assist with account reviews for customers enrolled in credit counselling, consumer proposal and bankruptcy
• Maintain accurate data entry and ensure all reporting is current and correct
• Monitor payment schedules and identify discrepancies or missed payments
• Liaise with credit counselling agencies to ensure accurate and timely information/file exchange
• Process and update repayment arrangements in internal systems and external files with a strong emphasis on accuracy and high attention to detail
• Maintain compliance with applicable policies and regulatory guidelines
• Coordinate timely refunds in accordance with insolvency regulations and internal policies
• Initiate proactive charge-offs to ensure accurate financial reporting and compliance
• Validate and reconcile accounts to ensure data accuracy prior to debt sales
• Liaise with external vendors, trustees, and collection partners to address Insolvency inquiries
• Update external key indicators in systems to reflect correct account data

Estate Administration:

• Process deceased customer accounts in accordance with legal and organizational procedures
• Review estate documentation (e.g., death certificates, wills, probate documents)
• Communicate with NOKs, executors, legal representatives, and internal departments
• Ensure appropriate account closures, write-offs, or recoveries are handled accurately
• Maintain sensitivity and professionalism in all estate-related interactions
• Maintain compliance with applicable policies and regulatory guidelines

Collection Call Handling Support:

• Assist in calls, follow-ups, and escalation as needed
• Review and validate customer account notes for accuracy and completeness
• Support call quality assurance processes and reporting
• Help manage inbound/outbound communication workflows as needed

Cross functional support:

• Assist the collections team with daily administrative and operational support
• Provide flexible support across portfolios based on workload demands and priorities
• Assist with backlog management, queue monitoring, and task prioritization
• Contribute to process improvements and operational efficiency initiatives
• Collaborate on the investigation and resolution of discrepancies, support escalations, and fulfill manager-directed requests as needed
• Facilitate adequate coverage for the team by supporting team members during peak periods and absenteeism

What You’ll Bring to the Table

• Ability to work cross-functionally and communicate effectively with stakeholders
• High attention to detail with the ability to manage multiple priorities under tight deadlines

Education + Experience

• Minimum 2–4 years of experience in collections.
• Prior Insolvency experience is highly desirable.
• Post-secondary education in Business, Finance, or a related discipline (or equivalent experience).

Ready to lead

If you’re looking to utilize your collections experience, drive process improvements, and contribute to a high-performing finance organization, we’d like to hear from you.

Committed to Equal Opportunity:

MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process. If you are selected for an interview, please notify MFSG if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, MFSG will work with you to determine how to meet your needs.

Please note: The salary range for this position is between C$ 50,000 to C$62,000.

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

About the Role

We’re looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems — ensuring we provide the most accurate and transparent pricing possible — the scope goes well beyond pricing. You’ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.

What You'll Need

• Strong software engineering and coding skills in Python, with experience contributing to production codebases
  
  
• Experience developing and deploying ML models end-to-end — from research and prototyping to implementation in production systems
  
  
• Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar
  
  
• Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
  
  
• Solid foundation in statistics and experimental design
  
  
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
  
  

Nice to Have

• Familiarity with Pyspark and distributed data processing
  
  
• Background in search, recommendation systems, or personalization
  
  
• Experience working with large language models (LLMs) or vision-language models (VLMs)
  
  
• A genuine interest in real estate — no prior experience required, but you'll engage deeply with housing data
  
  

What You'll Do

• Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
  
  
• Build interpretable ML models that can help us explain pricing decisions to customers
  
  
• Incorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)
  
  
• Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems
  
  
• Improve the feature engineering and model training pipelines that power our production systems
  
  
• Rethink our risk and optimization models using real-world data and domain insight
  
  

We’re a small, nimble team — there’s ample opportunity to work across the entire research and modeling stack.

Compensation

The base pay range for this position is $156,800-$310,000 annually, plus RSUs. 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

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

About the Role

What You'll Need

• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have

What You'll Do

Compensation

Data Scientist, Pricing

Location: Hyrbrid 4 onsite, 1 remote Seattle WA. 

Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and drive decisions.
• Develop predictive + statistical models that improve pricing accuracy.
• Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
• Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

• Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
• Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
• Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
• Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
• Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
• High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
• Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
• 8+ years of experience in data science, product analytics, or a similar quantitative role.

Base salary range for this role varies. Generally, the base salary range is $186,000 – $256,000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).

#LI-RO

#

#LI-KC1

Data Scientist, Pricing

Location: In office 4 days a week; Ontario, Canada.

Opendoor is transforming one of the largest, most complex markets in the world — residential real estate — using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company’s financial performance.

We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You’ll operate at the intersection of economics, machine learning, experimentation, and product strategy — tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory — and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.

What You’ll Do

• Build and maintain pricing metrics, dashboards, and frameworks.
• Run experiments and causal analyses to measure impact and drive decisions.
• Develop predictive + statistical models that improve pricing accuracy.
• Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
• Deliver insights and narratives that inform executive strategy.

Skills & Qualifications

• Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
• Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
• Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
• Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
• Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
• High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
• Effective communicator — able to tell the story behind the model to both highly technical and non-technical audiences.
• 8+ years of experience in data science, product analytics, or a similar quantitative role.

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

#LI-KC1

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

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

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

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

The Opportunity:

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

What You Bring to the ZestyAI Team:

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

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

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

Nice to Have:

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

Why ZestyAI:

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

Product Marketing Lead
Growth Marketing

Location: Miami, Toronto

About Opendoor

Opendoor’s mission is to tilt the world in favor of homeowners and those working hard to become homeowners, by making homeownership simpler, faster, and fairer for everyone. Since 2014, Opendoor has provided people across the U.S. with a simple and certain way to buy and sell a home. We believe buying or selling a home should be simple, certain, and transparent — and we’re rebuilding the experience from the ground up. Our brand and product are two sides of the same promise: giving people confidence and control in one of life’s biggest moments.

The Role

Opendoor is seeking a strategic, data-driven Product Marketing professional to own go-to-market strategy, positioning, and competitive intelligence for our real estate technology products and consumer experiences. You’ll be the source of truth for all PMM assets, partnering closely with Product, Brand, Sales and Customer Success to drive revenue, adoption, and market leadership. You’ll lead an AI-assisted approach to market and competitive insights, translating them into actionable messaging, enablement, and launch plans that align with Opendoor’s mission: power life’s progress, one move at a time.

What you’ll do

• Go-To-Market Strategy and Execution

  • Own end-to-end GTM planning for new products and major releases (e.g., app improvements, mortgage/financing features, valuation tools, title/escrow enhancements), including objectives, ICPs, positioning, pricing/packaging, launch sequencing, channels, and success metrics.

  • Develop scalable launch playbooks, asset requirements, timelines, risk management, and post-launch optimization.

  • Ensure GTM plans are aligned with Opendoor’s objectives and coordinated across Product, Growth, Sales, and CS.

• Positioning, Messaging, and Value Propositions

  • Define differentiated positioning and compelling messaging that resonates with homeowners, buyers, sellers, and investors, delivering clear business outcomes.

  • Create core content (value propositions, messaging frameworks, one-pagers, battle cards) and enablement assets for sales, partners, and the broader go-to-market ecosystem.

  • Maintain a consistent brand voice and market-facing narratives across channels and regions.

• Competitive Intelligence (AI-Assisted)

  • Build and lead an AI-assisted competitive intelligence program that continuously monitors proptech and consumer marketplace landscapes.

  • Deliver regular analyses, feature comparisons, pricing benchmarks, and market signals; translate into actionable guidance for Product, Sales, and Marketing.

  • Create and maintain battle cards, win/loss analyses, and intelligence briefings; validate AI-driven insights with human judgment.

• Product Marketing as Source of Truth

  • Maintain the single source of truth for PMM assets: positioning matrices, personas, messaging frameworks, playbooks, and enablement content.

  • Govern PMM assets with version control, clear ownership, and up-to-date documentation in wikis, dashboards, and content repositories.

  • Establish PMM standards and processes to ensure scalable, repeatable execution at Opendoor’s scale.

• Cross-Functional Collaboration

  • Partner with Product Management to translate roadmaps and customer needs into compelling market offerings.

  • Collaborate with Sales to drive pipeline: enablement training, tools, and assets to improve win rates and shorten sales cycles.

  • Work with Growth and Demand Gen to map campaigns to GTM plans, measure impact, and optimize funnel performance.

  • Coordinate with Analytics to define and track success metrics (pipeline influence, win rate, time-to-revenue, feature adoption).

• Enablement, Messaging, and Content

  • Develop ongoing enablement programs, training sessions, and updates to keep front-line teams informed and effective.

  • Produce and curate content assets (launch briefs, case studies, white papers, product briefs, FAQs) aligned to buyer journeys.

• Market Insights and Voice of the Customer

  • Lead market research to identify trends, unmet needs, and growth opportunities in the real estate tech and consumer marketplace space.

  • Capture customer insights and success stories to refine positioning and messaging; feed insights into product prioritization and roadmap where appropriate.

• Budget, Leadership, and Process Improvement

  • Own the PMM budget; manage vendors, contractors, and internal resources.

  • Mentor and develop PMM team members; drive process improvements to shorten cycles and increase impact.

What success looks like

• Clear, differentiated GTM plans that drive revenue and align with product roadmaps.

• Consistent, compelling messaging and collateral that improve win rates and accelerate time-to-revenue.

• A credible, AI-augmented competitive intelligence program that informs product and marketing decisions.

• A trusted source of truth for all PMM assets, with measurable improvements in pipeline influence, win rate, and product adoption.

• Scalable playbooks and enablement that enable fast, cross-functional execution as Opendoor grows.

Qualifications

• 8+ years of product marketing or related experience in B2B technology, SaaS, or relevant real estate tech domains; people leadership experience preferred.

• Proven track record launching successful GTM programs and driving revenue growth through strong positioning and cross-functional collaboration.

• Demonstrated ability to build and maintain a robust competitive intelligence program, including AI-assisted research methods and tools.

• Exceptional written and verbal communication; ability to translate complex product features into clear customer value propositions.

• Strong cross-functional influencing skills; comfortable operating in a fast-paced, ambiguous environment.

• Data-driven mindset; experience with CRM/Marketing Automation (e.g., Salesforce, HubSpot), analytics (Looker, Tableau), and AI-enabled research tools.

• Experience creating scalable playbooks, enablement content, and governance around PMM assets.

• Preferred: experience in consumer marketplaces, proptech, or real estate tech with complex product ecosystems.

• Experience with AI-enabled content generation and governance/compliance considerations.

• Familiarity with multi-region go-to-market programs across verticals.

• Knowledge of pricing strategy and packaging in consumer-facing or enterprise contexts.

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.

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

The base pay range for this position is $172,000–$238,000 Canadian Dollars 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.

Location

This is an in-person role that must be performed from the Toronto, Ontario office. Candidates must be able to be physically present in the office 4 days a week.

About the Role

We’re seeking an exceptional Senior Accountant to join our Accounting & Finance team. The ideal candidate brings a strong foundation in accounting, public company experience, and a forward-looking mindset around automation and AI-driven process improvement. You’ll be expected to apply sound judgment on accounting matters while identifying opportunities to modernize how the team operates.

What You Will Do

• Leverage AI tools and emerging technologies to streamline accounting workflows, enhance data analysis, and support scalable processes as the business grows
• Design, recommend, and implement automation initiatives (e.g., scripting, workflow tools, ERP enhancements) to reduce manual effort and improve close efficiency
• Prepare and review journal entries, and month-end close deliverables including balance sheet reconciliations, flux analyses, and bank reconciliations — ensuring completeness, accuracy, and well-documented support.
• Support the preparation of Opendoor’s consolidated financial statements and assist with external financial statement audits, including SOX and internal controls documentation, audit support, and controls testing
• Prepare monthly consolidation and elimination journal entries, including transactions involving multiple currencies and intercompany activities. 

What You Need

• Bachelor’s degree in Accounting or Finance
• Minimum 3+ years of progressive accounting experience in a fast paced environment
• Familiarity with automation and AI/ML tools (Chat GPT, Claude) and a willingness to explore how emerging technology can improve accounting processes
• Experience with SOX compliance and internal controls over financial reporting
• Proficiency in Microsoft Excel (advanced functions, pivot tables, lookups) and comfort working with large datasets
• Exceptional organizational skills and attention to detail, with the ability to manage multiple priorities during close
• Excellent written, verbal, and interpersonal communication skills.
• Ability to meet deadlines, independently manage your time, and be self-motivated in a fast-paced environment

Bonus Points If You Have

• Licensed CPA or CPA candidate
• Real estate accounting experience or exposure to inventory-based business models
• NetSuite or other enterprise ERP experience (Oracle, SAP, Workday)
• Experience building or improving automated reconciliations or close management workflows
• Prior experience at a high-growth or publicly traded technology company, or a Big 4 accounting firm. 

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-RM

#LI-Onsite

Software Engineer – Backend, Pricing (Senior level or higher)

Toronto

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

Compensation 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-DM

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

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

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.

About The Role

We’re hiring a cross-channel Sr Performance Marketing Manager who is equal parts strategist, analyst, operator, and partner manager. You will own end-to-end media planning, buying (via agencies and platforms), optimization, and measurement across Video (TV, CTV, OLV), Audio, Display/Programmatic, Direct Mail, and other local media. You have experience with traditional channels —with deep, hands-on expertise in digital media. You are a flexible jack-of-all-trades who can zoom from long-term strategy into in-the-weeds execution to deliver measurable business outcomes. Critically, you know how to “build brand through a performance lens,” connecting upper-funnel investments to near-term impact and long-term value creation.

What You’ll Do

• Lead cross-channel strategy and plans: define channel roles, audience frameworks, geo strategy, flighting, and mix across TV/CTV/OLV, Audio (streaming and terrestrial), Display/Programmatic, Direct Mail, and other local media —anchored in digital excellence.

• Manage agencies and platform partners: write briefs, set KPIs/SLAs, negotiate rates, push for inventory optimization, enforce QA standards, and ensure brand safety and suitability.

• Build brand through a performance lens: architect brand investments and creative systems that drive efficient reach, quality frequency, brand lift, and measurable downstream outcomes (site traffic, qualified leads, acquisition).

• Drive performance and learning velocity: design and run a rigorous test-and-learn roadmap (audiences, creative, supply, formats, bidding, landing experiences); scale winners, sunset underperformers, and codify learnings.

• Own budgets and pacing: forecast, allocate, and dynamically rebalance spend; connect investment to acquisition and brand outcomes; communicate returns, trade-offs, and risks crisply.

• Elevate measurement: lead incrementality and geo experiments; contribute inputs for MMM; maintain attribution hygiene; partner with Analytics and Data Science on experiment design and decision frameworks.

• Improve creative effectiveness: define specs and messaging frameworks by channel; partner with Brand/Creative on concepting, iteration, and refresh cadence.

• Strengthen data and tooling: champion single source-of-truth dashboards; reduce drift and duplicate tooling; leverage automation/AI to eliminate manual toil in planning, reporting and trafficking.

• Communicate and influence: deliver clear reporting, insights, and recommendations to senior stakeholders; translate data into action and align cross-functional teams on next steps.

What You’ll Need

• 7+ years in media planning/buying or performance marketing with deep expertise in digital (programmatic, CTV/OLV; paid social/search as applicable) and strong working knowledge of traditional channels (Linear TV, terrestrial radio, OOH, Direct Mail).

• Proven ability to build brand through a performance lens, linking brand media to acquisition and funnel efficiency while protecting quality reach and brand integrity.

• Demonstrated success managing agencies and platform partners, negotiating value, and holding a high execution bar.

• Strong analytical toolkit: experimentation, funnel diagnostics, incrementality, and translating insights into decisions; experience with BI tools and/or SQL is a plus.

• Hands-on familiarity with major platforms and tools: DSPs (e.g., DV360, The Trade Desk), CTV partners (e.g., YouTube, Roku), ad servers, verification/brand safety solutions, analytics/attribution (e.g., GA4, MMPs, MMM providers, lift testing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Agency and client-side experience 

• Depth in MMM/MTA, geo experiments, and incrementality frameworks; experience shaping a measurement roadmap.

• Comfort bridging brand and performance media; close partnership with creative, finance, product and data science teams

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, brand lift, quality reach/frequency.

• Operational excellence: pacing accuracy, testing velocity and iteration speed, creative refresh cadence, QA/brand safety adherence.

• Strategic influence: clarity of media strategy, improvements to the partner/tooling ecosystem, and durable cross-functional alignment.

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.

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

Join Our Team as a Real Estate Lawyer at Axiom

Location: Toronto 

We are currently seeking Commercial Real Estate Lawyers to work with municipalities on matters related to commercial real estate management and funding of real estate ventures. This is an existing vacancy. 

Responsibilities:

• Working with and advising corporate clients directly regarding commercial real estate matters, including purchase and sale of commercial property, acquisitions of business with a real estate component, development, and regulatory compliance.
• Drafting and negotiating leases, amendments, assignments and renewals
• Assisting with portfolio management and due diligence review, including environmental assessments

Qualifications: 

• Based in Ontario with active membership in good standing with the Law Society of Ontario
• Strong knowledge of Ontario real estate laws
• 8+ years of experience with the purchase, sale, financing, development and operation of commercial leasing while representing major developers, retailers, financial institutions, lenders or pension funds 
• Prior experience advising on funding of real estate ventures
• Experience working independently and cross-functionally and taking on complex projects
• Excellent communication and negotiation skills, with the ability to effectively advise clients and collaborate with project stakeholders

Compensation:

The estimated total compensation for full-time Axiom attorney roles is $104,500-325,000 per year and for non-attorney roles is $71,250-309,750 per year. Compensation decisions are based on various factors, including, but not limited to, experience, skills, certifications, location, and business needs.  Employees may be eligible for additional benefits, including health, dental, and vision insurance; paid holidays and PTO; flexible work arrangements; and professional development opportunities and tools.

About Axiom:

For over 25 years, Axiom has pioneered the alternative legal services industry, now serving more than 1,500 legal departments globally with our unique blend of world-class legal talent and advanced AI tools, delivering innovative solutions ranging from that combine top-tier talent with cutting-edge technology. We tackle complex legal matters across 12 practice areas for clients ranging from Fortune 100 to SMBs, empowering our legal professionals to engage in meaningful work that advances their careers. Our Talent NPS score of +71% and our Client NPS score of +64% highlight our commitment to excellence (Reported scores were Axiom’s average for 2025 – the legal industry average NPS score is +35%). Join our forward-thinking community where you’ll keep your career dynamic and multi-faceted, be part of a company that values agility, collaboration, and excellence, and love both the law and your life.

Learn more about life at Axiom. 

Axiom is the global leader in high-caliber, on-demand legal talent. Covering North America, the UK, Europe, and APAC, we enable legal departments to drive efficiency and growth and meet the demands of today’s business landscape with best in class alterative legal services.  

Diversity is core to our values and we are proud to be an equal opportunity employer. Axiom ensures equal employment opportunity in recruitment and employment, without discrimination or harassment on the basis of race, color, nationality, national or ethnic origin, religious creed or belief, political opinion, sex, gender, gender identity, gender identity status, pregnancy or maternity, age, disability, alienage or citizenship status, marital (or civil or other partnership recognized by law) status, genetic predisposition or carrier status, sexual orientation, military service, or any other characteristic protected by applicable law. Axiom prohibits and will not tolerate any such discrimination or harassment.

Upon request and consistent with applicable laws, Axiom will provide reasonable accommodations for individuals with disabilities who require accommodations to participate in each stage of the recruitment process. To request an accommodation, please contact benefits@axiomlaw.com.

Axiom respects your privacy. For an explanation of the kind of information we collect about you and how it is used, our full data privacy notice is available here.   

Employment with Axiom may be contingent upon successful completion of a background check, providing proof of identity, and possessing the necessary legal authorization to work. Pursuant to the San Francisco Fair Chance Ordinance, NY Fair Chance Act, and Los Angeles Fair Chance Initiative, we will consider for employment qualified applicants with arrest and conviction records.  

#LI-LC3

Join Our Team as a Lawyer at Axiom

We are currently seeking Land Use & Zoning Lawyers to work with Ontario-based government entities and municipalities in Ontario.

Responsibilities:

• Advise government entities and municipalities on land development and zoning matters for large development projects, ensuring compliance with municipal, provincial, and federal regulations.
• Conduct comprehensive due diligence reviews to assess the legal aspects of land transactions, including title searches, environmental assessments, and regulatory compliance.
• Assist clients in obtaining necessary permits, approvals, and variances for land development projects. Prepare and submit applications to municipal authorities, planning boards, and regulatory agencies.
• Collaborate with our multidisciplinary legal team, including real estate lawyers, environmental specialists, and regulatory experts, to deliver comprehensive legal solutions to clients.

Qualifications:

• Must be a licensed lawyer in good standing with the Law Society of Ontario.
• A minimum of 8 years of experience specializing in land use law, with a deep understanding of provincial land use and zoning regulations.
• Demonstrated experience providing high-quality and effective legal counsel in areas of land use planning, development law, expropriations, development charges and agreements as well as advocacy before administrative tribunals.
• Exceptional verbal and written communication skills, with the ability to convey complex legal concepts to clients and colleagues.

Compensation:

The estimated total compensation for full-time Axiom attorney roles is $114,000-250,000 per year and for non-attorney roles is $64,000-201,000 per year. Compensation decisions are based on various factors, including, but not limited to, experience, skills, certifications, location, and business needs.  Employees may be eligible for additional benefits, including health, dental, and vision insurance; paid holidays and PTO; flexible work arrangements; and professional development opportunities and tools.

About Axiom:

For over 25 years, Axiom has pioneered the alternative legal services industry, now serving more than 1,500 legal departments globally with our unique blend of world-class legal talent and advanced AI tools, delivering innovative solutions ranging from that combine top-tier talent with cutting-edge technology. We tackle complex legal matters across 12 practice areas for clients ranging from Fortune 100 to SMBs, empowering our legal professionals to engage in meaningful work that advances their careers. Our Talent NPS score of +71% and our Client NPS score of +64% highlight our commitment to excellence (Reported scores were Axiom’s average for 2025 – the legal industry average NPS score is +35%). Join our forward-thinking community where you’ll keep your career dynamic and multi-faceted, be part of a company that values agility, collaboration, and excellence, and love both the law and your life.

Learn more about life at Axiom. 

Axiom is the global leader in high-caliber, on-demand legal talent. Covering North America, the UK, Europe, and APAC, we enable legal departments to drive efficiency and growth and meet the demands of today’s business landscape with best in class alterative legal services.  

Diversity is core to our values and we are proud to be an equal opportunity employer. Axiom ensures equal employment opportunity in recruitment and employment, without discrimination or harassment on the basis of race, color, nationality, national or ethnic origin, religious creed or belief, political opinion, sex, gender, gender identity, gender identity status, pregnancy or maternity, age, disability, alienage or citizenship status, marital (or civil or other partnership recognized by law) status, genetic predisposition or carrier status, sexual orientation, military service, or any other characteristic protected by applicable law. Axiom prohibits and will not tolerate any such discrimination or harassment.

Upon request and consistent with applicable laws, Axiom will provide reasonable accommodations for individuals with disabilities who require accommodations to participate in each stage of the recruitment process. To request an accommodation, please contact benefits@axiomlaw.com.

Axiom respects your privacy. For an explanation of the kind of information we collect about you and how it is used, our full data privacy notice is available here.

Employment with Axiom may be contingent upon successful completion of a background check, providing proof of identity, and possessing the necessary legal authorization to work.

#LI-AG1

Join Our Team as a Lawyer at Axiom

We are currently seeking Construction & Development Counsel to join our real estate team and provide legal support to our Fortune 500 clients. 

Responsibilities:

• Provide legal support on land use planning, development approvals, and regulatory compliance for large-scale infrastructure and real estate projects.
• Draft, review, and negotiate a wide range of agreements, including CCDC contracts, EPCMs, engineering services agreements, and other complex construction and development contracts.
• Advise on legal risk, project structuring, procurement strategy (including open RFPs), and execution across the full project lifecycle—from pre-development to post-construction.
• Support cross-functional teams in managing Indigenous consultation, land access, and stakeholder relations in alignment with project timelines and legal obligations.

Qualifications:

• Licensed to practice law in Canada, with 5+ years of relevant legal experience in construction, real estate development, or infrastructure law.
• Proven experience with CCDC, EPCM, and other major construction and engineering contracts.
• Strong understanding of planning and development frameworks, municipal approvals, and regulatory regimes across Canadian jurisdictions.
• Experience working with or advising on Indigenous relations and land consultation processes is a plus.

Compensation:

The estimated total compensation for full-time Axiom attorney roles is $114,000-250,000 per year and for non-attorney roles is $64,000-201,000 per year. Compensation decisions are based on various factors, including, but not limited to, experience, skills, certifications, location, and business needs.  Employees may be eligible for additional benefits, including health, dental, and vision insurance; paid holidays and PTO; flexible work arrangements; and professional development opportunities and tools.

About Axiom:

For over 25 years, Axiom has pioneered the alternative legal services industry, now serving more than 1,500 legal departments globally with our unique blend of world-class legal talent and advanced AI tools, delivering innovative solutions ranging from that combine top-tier talent with cutting-edge technology. We tackle complex legal matters across 12 practice areas for clients ranging from Fortune 100 to SMBs, empowering our legal professionals to engage in meaningful work that advances their careers. Our Talent NPS score of +71% and our Client NPS score of +64% highlight our commitment to excellence (Reported scores were Axiom’s average for 2025 – the legal industry average NPS score is +35%). Join our forward-thinking community where you’ll keep your career dynamic and multi-faceted, be part of a company that values agility, collaboration, and excellence, and love both the law and your life.

Learn more about life at Axiom. 

Axiom is the global leader in high-caliber, on-demand legal talent. Covering North America, the UK, Europe, and APAC, we enable legal departments to drive efficiency and growth and meet the demands of today’s business landscape with best in class alterative legal services.  

Diversity is core to our values and we are proud to be an equal opportunity employer. Axiom ensures equal employment opportunity in recruitment and employment, without discrimination or harassment on the basis of race, color, nationality, national or ethnic origin, religious creed or belief, political opinion, sex, gender, gender identity, gender identity status, pregnancy or maternity, age, disability, alienage or citizenship status, marital (or civil or other partnership recognized by law) status, genetic predisposition or carrier status, sexual orientation, military service, or any other characteristic protected by applicable law. Axiom prohibits and will not tolerate any such discrimination or harassment.

Upon request and consistent with applicable laws, Axiom will provide reasonable accommodations for individuals with disabilities who require accommodations to participate in each stage of the recruitment process. To request an accommodation, please contact benefits@axiomlaw.com.

Axiom respects your privacy. For an explanation of the kind of information we collect about you and how it is used, our full data privacy notice is available here.

Employment with Axiom may be contingent upon successful completion of a background check, providing proof of identity, and possessing the necessary legal authorization to work.

#LI-AG1