Location
This is an in-person role that requires performing all job responsibilities from the Toronto, Ontario office location. Candidates must be based within a 50-mile commuting distance of the Toronto office, and able to be physically present in the office 4 days a week.
About the Role
Partners and agents represent a strategic growth lever for Opendoor. We're looking for a strategic, execution-oriented Senior Manager to own and scale our Partner Lifecycle marketing programs — shaping how we engage, enable, and retain the real estate professionals who drive a meaningful portion of our transaction volume.
As Senior Manager, Partner Lifecycle Marketing, you'll build and lead the end-to-end CRM strategy for our partner channel — from agent acquisition and onboarding through education, activation, and long-term retention. You'll leverage AI-powered personalization, multi-channel orchestration, and behavioral segmentation to create relevant, high-converting experiences that drive partner engagement and referrals at scale. This role reports to the VP, Acquisition and Lifecycle.
This role requires equal parts strategic thinking and hands-on execution. You'll operate with significant autonomy on a lean, high-performing team with direct exposure to executive leadership. You'll have the resources to test bold ideas and the opportunity to build marketing programs that leverage cutting-edge AI capabilities. If you thrive in environments that reward initiative and impact, and want to work at the intersection of lifecycle marketing and AI — this role is for you!
What You Will Do
Strategy & Program Ownership
- Own the full partner lifecycle journey across email, SMS, and push — from agent sign up and onboarding through enablement, activation, reactivation, and retention
- Design and execute multi-channel programs that educate partners on Opendoor's value proposition, drive referral behavior, and maximize lifetime partner value
- Build segmentation and personalization strategies based on partner type (agents, brokers, institutional partners), engagement level, transaction history, market dynamics, and predictive signals
- Partner with Sales to define lead scoring, routing logic, and handoff protocols that optimize partner conversion and experience
AI-Powered Personalization & Automation
- Lead the development and deployment of AI-powered email personalization — leveraging dynamic content, behavioral triggers, and predictive models to deliver 1:1 relevant messaging at scale
- Build automated workflows and drip campaigns that reduce manual touch points while increasing engagement and conversion
- Collaborate with Marketing Operations and Analytics teams to implement and optimize personalization engines, testing frameworks, and performance dashboards
Experimentation & Optimization
- Establish a rigorous testing roadmap across creative, messaging, timing, segmentation, and channel mix to continuously improve program performance
- Run A/B and multivariate tests on key journeys, messaging frameworks, and AI personalization strategies
- Analyze results, extract insights, and scale learnings across the partner lifecycle program
Cross-Functional Partnership
- Work closely with Partner Sales leadership to align on priorities, share performance insights, and co-develop enablement content
- Collaborate with Brand and Creative teams to develop partner-specific assets and messaging that balance brand consistency with channel-specific needs
- Partner with Growth Science and Analytics teams on attribution modeling, incrementality measurement, and cohort analysis
Metrics & Reporting
- Define, track, and report on key performance metrics including partner engagement rates, referral conversion, email-driven transactions, LTV by cohort, and program ROI
- Deliver regular performance readouts and strategic recommendations to VP and executive leadership
- Build dashboards and reporting infrastructure that provide real-time visibility into partner lifecycle health
What You Bring
- Minimum 5+ years in lifecycle, CRM, or partner marketing (B2B/B2B2C environments) with a proven track record of building and scaling multi-channel programs that drive measurable business outcomes
- Hands-on expertise with Braze, Iterable, or similar enterprise marketing automation platforms — you can build complex journeys, segmentation logic, and dynamic content without heavy support
- Strong technical skills (HTML, SQL, audience building, API integrations, analytics platforms) and experience implementing AI-powered personalization and behavioral automation at scale
- Autonomous operator with test-and-learn mentality — you identify opportunities, design rigorous experiments, move fast, scale what works, and kill what doesn't
- Systems thinker and hands-on executor — equally comfortable building the strategy deck and setting up the campaign in platform
- Excellent stakeholder management and communication skills — you can influence cross-functional partners, distill complex programs into executive-level recommendations, and build productive partnerships with Sales teams
Bonus Points if you have
- Experience in real estate, proptech, or high-consideration financial services
- Background in AI/ML applications for marketing (LLMs, predictive modeling, recommendation engines)
- Familiarity with partner enablement, sales enablement, or channel marketing
Compensation
Our compensation reflects the cost of labor across several geographic markets, and we pay differently based on those defined markets. Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The Canadian pay range for this position in Toronto, Ontario is C$124,000.00 - C$155,000.00 annually. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. We also offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.
#LI-LS
#LI-Onsite
Since 2014, we’ve been reinventing life’s most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain.
We’re a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it’s starting a family, taking a new job, or making a life change, we help people move forward with confidence.
This work isn’t easy, and it’s not for everyone. But if you want to be part of a team that’s tilting the world in favor of people who want to sell, buy, or own a home then you’ll find purpose here.
Opendoor Values OpennessWe believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here.
We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise.
At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at [email protected].
