About the Team:

We’re looking for a Staff Software Engineer I/II to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. In this role, you’ll own technical direction for critical parts of our ingestion platform, lead large-scale initiatives, and shape how data flows across the company.

The Data Ingestion team tackles complex distributed systems challenges at massive scale, with a focus on scalability, performance, and reliability. Our systems process over 10 billion events per day, powering core functions across bidding, reporting, billing, analytics, and machine learning. You will work on challenging technical problems and partner with teams across the company to drive key initiatives.

We design + build low-latency, highly reliable distributed systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available to downstream teams in real time. This is a high-impact area at the core of StackAdapt’s platform, the systems you own will directly shape data quality, system reliability, and the speed at which teams across the company can build and innovate. Our work sits at the cutting edge of large-scale distributed systems, leveraging modern technologies and architectures to solve complex real-time data challenges. The core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.

If you enjoy solving complex distributed systems problems at scale and driving technical impact across teams, this role would be a great fit for you.

StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada or the United States for this position.

What You’ll Be Doing:

• Own and lead large technical initiatives end-to-end, from design through production and monitoring
• Provide technical leadership and mentorship to engineers across the team
• Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
• Contribute hands-on as needed while enabling the team to execute effectively
• Build and maintain event ingestion pipelines using streaming technologies like Kafka
• Work with high-volume storage systems and databases to persist and serve data efficiently
• Partner with Data, ML, Product, and Platform teams to support evolving requirements
• Improve code quality, testing practices, system reliability, and observability
• Participate in design reviews, code reviews, and architectural discussions
• Balance and prioritize projects to maximize impact and align with company objectives

What You’ll Bring to the Table:

• Extensive experience building distributed systems and high-throughput backend services
• Proven ability to lead technical direction and drive large, cross-team initiatives
• Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
• Collaborative mindset with the ability to influence across teams
• Ability to think strategically, lead technically, and drive high-impact, scalable solutions
• Hands-on experience with streaming systems (Kafka or similar)
• Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
• Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
• Bonus: Familiarity with AdTech, event-driven architectures, or analytics systems

#LI-TM8

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Global People Operations team is the engine that powers Stripe’s talent lifecycle. We oversee a comprehensive global delivery model—encompassing everything from foundational employee support to highly specialized operations. We are looking for a strategic operations Program Manager to lead our efforts in driving a users-first scale & transformation roadmap. This individual will drive the internal operating mechanisms that shift the team toward proactive, automation and AI-driven operations, advancing the effectiveness and scalability of our global service model.

What you’ll do 

As the People Ops Strategy PM, you will champion our transformation efforts to drive a users-first operational scale roadmap for the Global People Operations horizontal—with AI and automation at the forefront. You will be the accelerant for our team, driving higher levels of operational resiliency and efficiency. You will centralize the intake and capacity governance for Global People Operations, ensuring that new work is vetted for operational fit and that our team has the bandwidth and data-driven insights to deliver at scale.

Responsibilities

Internal Operating Mechanisms & Efficiency:

• Operational Evolution: Drive improvements in internal operating mechanisms that shift the People Ops team toward proactive, automation and AI-driven operations, advancing the model’s overall effectiveness.
• Capability Leadership: Introduce and lead foundational capabilities in workforce forecasting, service enablement, and global operational strategy to ensure our horizontal scales ahead of business demand.
• Predictive Planning: Transition the team from reactive ticket monitoring to proactive capacity management; build the models to predict demand across foundational support and specialized operations.

Operational Intake & Capacity Governance:

• Horizontal Work Intake: Design and lead the mandatory, centralized "Front Door" for all work entering the Global People Operations team. Ensure every initiative is vetted for operational feasibility and capacity alignment before it is accepted into the team's roadmap.
• Strategic Partnership & Readiness: Partner with People+ COEs, Strategy & Enablement, Process Optimization, Solutions, and Tech teams to ensure operational readiness for high-priority initiatives. Act as the primary operational interface, translating broad strategy into actionable delivery plans.
• Operational Deployment: Manage the deployment of ops SMEs and associates from the Global People Ops team into cross-functional projects. Ensure SMEs are utilized effectively, unblocking their path to execution while protecting their core operational bandwidth.
• Strategic Prioritization: Support the internal prioritization of the Global People Operations roadmap, ensuring our specific horizontal’s goals are clearly defined and that the team is shielded from low-impact operational noise.

Continuous Improvement & Operational Health:

• Capacity Creation: Drive the path for continuous improvement across the full service model; identify opportunities to deflect volume to automated or self-service solutions, creating the necessary capacity to absorb more complex workstreams.
• Data-Driven Insights: Aggregate monitoring data across all tiers to identify trends and root causes; use these insights to support global prioritization and identify where to double-down on automation to drive down manual effort.
• QA & Process Adherence: Build the framework to run Quality Assurance (QA) and monitor adherence to existing Knowledge Management and operational standards. Audit process consistency and accuracy in service delivery across all global entities.
• Operational Resiliency: Define and track the "Actionable KPI" suite for our delivery engine, ensuring all reporting is data-driven and aligned with global compliance and audit standards.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 8+ years of experience in People Operations, Service Delivery Management, or Business Operations within a high-growth, global environment.
• Proven track record of driving a central work intake model and prioritization framework.
• Demonstrated experience leading operational infrastructure such as workforce management (WFM), Quality Assurance (QA), or service enablement.
• Strong fluency with the ability to define requirements for AI, RPA, and complex case-management ecosystems.
• Exceptional analytical skills with the ability to use data analysis tools to forecast demand and model operational capacity for complex workstreams.
• Excellent communication and stakeholder management skills; comfortable driving operational roadmaps and ROI analysis with senior leadership.

Preferred qualifications

• Strategy & Transformation: Experience leading service design or the optimization of specialized operations in a centralized delivery model. Proven track record of leading process migration efforts involving automation (RPA) or AI solutions.
• Systems & Knowledge: Advanced proficiency with HRIS (Workday) and Service Management tools (Salesforce). Experience with Confluence or other knowledge management systems, and a track record of driving documentation adoption.
• Data & Process Rigor: Data fluency with the ability to use data analysis tools to forecast demand and model operational capacity. Certification in ITIL, Lean, or Six Sigma methodologies.
• Operations & Compliance: Experience navigating rapid innovation alongside stringent compliance and audit requirements. Experience in vendor management or supporting outsourced service models.

Drive the future of resilient, cloud-first database platforms powering mission-critical payment ecosystems.

The Role

We are seeking a highly skilled AppOps DBA to join our Technology & Engineering team. In this role, you will play a key part in developing, operationalizing, and supporting next-generation on-premises and cloud database solutions. You will provide technical leadership across Oracle, Exadata, and Aurora PostgreSQL platforms, helping to ensure high availability, scalability, security, and operational excellence across mission-critical environments.

Working closely with Development, QA, Platform Engineering, and AppOps teams, you will contribute to automation-led database operations, cloud transformation initiatives, and continuous performance optimization in a fast-paced, highly collaborative environment.

What You’ll Do

• Manage and optimize Oracle, PostgreSQL, Aurora, AWS RDS, and Exadata database environments to ensure performance, reliability, and availability.
• Lead database operationalization initiatives including automation, observability, resiliency, backup, recovery, replication, and disaster recovery strategies.
• Support and influence cloud migration programs from Oracle on-premises environments to AWS-based Oracle and Aurora PostgreSQL platforms.
• Implement CI/CD pipelines, Infrastructure as Code practices, and intelligent automation to streamline deployment and operational processes.
• Collaborate cross-functionally with engineering, product, and support teams while participating in rotating on-call production support activities.

What We’re Looking For

• Strong hands-on experience managing Oracle Exadata, AWS RDS, Oracle, and Aurora PostgreSQL database environments.
• Expertise in AWS technologies including EC2, S3, Aurora, Redshift, AWS DMS, and AWS Schema Conversion Tool (SCT).
• Deep understanding of database architecture, SQL tuning, PL/SQL, performance optimization, backup and recovery strategies, and high-availability design.
• Experience with DevOps methodologies, container platforms such as Kubernetes and Docker, and Infrastructure as Code tools including Terraform, CloudFormation, and Ansible.
• Excellent communication, collaboration, and technical documentation skills, with the ability to work effectively across business and technical teams.

Bonus Points For

• AWS Certified Database – Specialty certification.
• AWS Certified Data Engineer or AWS Certified Solutions Architect certification.
• Oracle Cloud or Oracle Database certifications.
• Experience mentoring technical teams and driving operational best practices.
• Previous experience supporting large-scale distributed production environments in financial services or highly regulated industries.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
• Retirement Savings Program – RRSP with optional employer matching contributions.
• Virtual Health Care and Employee & Family Assistance Program available to employees and dependents.
• Enhanced parental leave benefits, wellness reimbursement, and new parent support programs.
• Business Coach from Day 1 with continuous learning and development opportunities.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

#LI-hybrid

We’re looking for a Growth Marketing Manager (SEM and CRO) to own and scale our performance marketing engine across Google Ads, Microsoft Ads, pay-per-click review platforms (e.g., Capterra, Technology Advice), and high-intent organic search. You’ll be responsible for driving efficient, scalable growth across the full funnel—owning strategy, execution, and optimization for both paid and organic channels, with a strong experimentation mindset focused on improving conversion across key landing pages and the website.

This role is ideal for a data-driven marketer who is equally comfortable in keyword strategy, bid management, targeting, on-site conversion rate optimization (CRO), creative testing, and experiment design—and who can translate insights into clear stories and recommendations for marketing, cross-functional partners, and leadership.

Key Responsibilities

SEM

• Own SEM and PPC strategy across Google Ads, Microsoft Ads, and review sites with a focus on high-intent B2B demand.
• Lead keyword strategy (research, clustering, negatives) across core use cases, industries, and competitor terms.
• Manage bids, budgets, and pacing to hit targets for CPL, CVR, CAC, pipeline, and LTV.
• Continuously refine audience and geo targeting, including remarketing lists, customer lists, and intent-based segments.
• Own reporting on CPL, CVR, CAC, and pipeline contribution by channel, campaign, and segment in partnership with RevOps/MarOps.
• Build and maintain a structured experimentation roadmap across keywords, match types, bidding strategies, ad messaging, creative, and landing pages.

CRO

• Collaborate with content and brand to align organic and paid keyword priorities and ensure messaging consistency.
• Lead CRO (conversion rate optimization) across key pages. Define and prioritize experiments on landing pages (forms, CTAs, layouts, offers, social proof, etc).
• Run A/B and multivariate tests using appropriate tools; ensure clean setup, measurement, and statistical rigor.
• Partner with content, design, and web to implement winning variations and scale learnings.
• Own and improve session → lead CVR across high-intent pages (demo, product pages, core content).

AI, Automation & Tooling

• Use AI and automation to accelerate keyword research, ad copy/creative ideation, QA, and analysis.
• Leverage tools like Claude to pull insights from CRM, ad platforms, and internal docs to refine copy, reporting, and reduce manual ops work.

Cross-Functional Collaboration & Communication

• Partner with Product Marketing, Content, Brand, RevOps, and Sales to ensure lead quality, routing, and follow-up processes support performance goals.
• Turn performance and experiment results into clear, concise recommendations for the marketing team, cross functional partners, and leadership.

Must-Haves

• 3+ years B2B growth/performance marketing experience with deep SEM and SEO ownership.
• Hands-on management of Google Ads, Microsoft Ads, and review platforms
• Strong command of CPL, CVR, CAC, and pipeline, and how they connect across the funnel.
• Proven CRO impact: demonstrated wins improving session-to-lead conversion across paid search, PPC, and website.
• Meaningful experience designing, running, and interpreting experiments (A/B tests, structured trials).
• Highly data-driven; advanced comfort in ad platforms and analytics tools (GA, BI, CRM reporting).
• Experience in B2B SaaS or complex, high-ACV sales cycles.
• Familiarity with marketing automation and CRM (HubSpot, Salesforce) for closed-loop reporting.

Compensation

• Raleigh Hub: $100,000.00 - $120,000.00 base + annual bonus opportunity
• Toronto Hub: 85,000.00 - 100,000.00 CAD base + annual bonus opportunity

Who you’ll be working with

You’ll collaborate closely with engineering, product, DevOps, QA, and client stakeholders, acting as the technical owner across managed services engagements. You’ll work with Product and Delivery teams to align technical execution with business priorities, while engaging directly with clients to provide guidance, resolve challenges, and drive improvements.

What you’ll be doing

• Act as the technical lead across managed services engagements, owning architecture, solution design, and overall engineering quality
• Guide and mentor developers through code reviews, technical direction, and best practices
• Oversee end-to-end technical delivery across multiple managed services projects, ensuring stability, scalability, and performance
• Lead and support data migration and system integration efforts (iPaaS, APIs, third-party platforms), ensuring data integrity and reliability
• Design and review API architectures, data flows, and distributed system interactions
• Support incident management, root cause analysis, and continuous improvement initiatives
• Identify opportunities for optimization, automation, and technical debt reduction
• Contribute to technical strategy, roadmap planning, and platform evolution
• Participate in QBRs and stakeholder discussions, providing technical insights and recommendations

What you’ll need to be successful (Requirements)

Must have skills:

• 7+ years of experience in Software Engineering / Technical Leadership
• Strong experience with backend technologies (Node.js, Python)
• Experience with eCommerce platforms and/or WordPress ecosystems
• Proven expertise in data migration, system integrations, or iPaaS solutions
• Strong experience in code reviews, architecture design, and technical decision-making
• Ability to debug complex production issues and drive resolution
• Experience working in managed services / maintenance / post-launch environments
• Strong understanding of API design, distributed systems, and scalable data flow architectures
• Experience designing and operating solutions on cloud platforms using modern architectural patterns
• Strong communication and stakeholder management skills

Nice to have skills:

• Ability to contribute to engineering standards, documentation, and best practices
• Familiarity with Agile delivery and cross-functional team collaboration
• Experience participating in technical strategies and external discussions
• Experience with technical debt management and refactoring initiatives

Need another reason to hit the “apply” button?

• Codal is a global agency with over 250 employees, and offices in the US, UK, Canada and India.
• We regularly host happy hours, fun friday, dinners, excursions, and other company events to unwind after a hard day at work.
• Professional Development: Opportunities for training, workshops, conferences to enhance employees' skills and knowledge.
• We offer Medical, Life, Dental/Vision, and many more insurance types 
• An office in the heart of downtown Toronto with easy access to Union Station
• Working hybrid for in-person collaboration and sprint-planning days

About the Role

Opendoor is looking for a Senior Counsel to join our Corporate Legal team. You'll own our public company reporting and securities compliance function, support board operations and corporate governance, and help us build an AI-first legal function. This is a high-impact, high-visibility role where you'll work closely with Finance, Accounting, and Investor Relations, and advise senior legal leadership on a broad range of securities and corporate matters.

This is a lean, high-ownership role where you'll be deep in live filings, board materials, and high-stakes transactions from day one. You'll have direct visibility with senior leadership and the opportunity to help shape our team — not just support it. If you’re a sharp, high-ownership attorney who loves tackling big, complex challenges and is pumped about using AI to reinvent how legal work gets done, we’d love to hear from you.

Location

This is an in-person role in the Downtown Toronto office. Candidates must be based within a 50-mile commuting distance of the office and able to be physically present in the office 4 days a week

What You'll Do

Own Public-Company Reporting and Securities Compliance:

• Please note this is a US public company reporting role. The successful candidate will work primarily within the US securities law framework, including SEC regulations and NASDAQ listing standards, regardless of office location.
• Advise senior legal team members on internal securities matters, including trading windows, 10b5-1 plans, and Section 16 compliance.
• Partner with Finance, Accounting, and Investor Relations to prepare SEC filings and draft and review earnings releases, press releases, and shareholder and investor communications for compliance with applicable securities laws.
• Monitor and advise on the potential impact of new and proposed securities laws and regulations, NASDAQ rule changes, proxy advisory firm voting policy changes (including ISS and other firms), institutional investor developments, and evolving best practices in corporate governance and ESG.
• Lead preparation and planning for the annual meeting of shareholders.

Execute Board Operations and Support Corporate Governance:

• Maintain and update corporate compliance documents and policies, including the Code of Business Conduct and Ethics, committee charters, insider trading policy, and other corporate policies.
• Advise on equity, executive compensation, and stock administration matters.
• Support corporate entity maintenance for all subsidiaries, including intercompany arrangements, as needed.

Support Strategic Transactions and Other Corporate Priorities:

• Provide advice and counsel on a range of general corporate and corporate governance matters.
• Support capital markets transactions including equity and debt offerings and structured finance transactions, including management of transaction documents and the diligence process.
• Take on new corporate projects as needed, including mergers and acquisitions, strategic partnerships, and corporate investments.

Help Build an AI-First Corporate Legal Function:

• Pilot and refine AI and automation enabled workflows in areas like disclosure drafting, governance monitoring, and board materials.
• Contribute to templates, playbooks, and self-service tools that make complex corporate and securities work more automated, approachable, and high quality.

What You'll Need

• Juris Doctor (JD) from an accredited law school with active Bar membership in good standing (or eligible to register as Registered In-House Counsel). California or New York Bar preferred.
• 5+ years of substantive experience with SEC reporting and securities laws, preferably spanning a top tier law firm and public company in-house work.
• Deep knowledge of corporate law, corporate governance standards, and trends.
• Familiarity with equity compensation plans and executive compensation.
• Strong interpersonal skills, team-oriented attitude, and superior attention to detail.
• Sound judgment with the ability to evaluate risk in light of business considerations and make clear, practical recommendations.
• Ability to work effectively and collaboratively within a growing legal team and cross-functionally at all levels of the organization.
• Curiosity and passion for using AI tools in your day-to-day work.
• Proactive, entrepreneurial approach to problem solving — you see an issue, you own it.
• Subsidiary corporate governance experience, including management of global subsidiaries and intercompany structures and agreements, is a plus.

The Director of Marketing Operations Business Partner defines and leads the marketing operating model to accelerate pipeline growth, execution excellence, and deliver performance insights. This role serves as a strategic partner across Revenue Operations, Sales Technology, Data, and Marketing leadership, guiding the design of scalable processes, measurement frameworks, and systems that align marketing execution with business objectives. Reporting to the VP, this role translates business objectives into operational capabilities and  business requirements. This role influences the roadmap direction, and ensures operational readiness and adoption of marketing capabilities that enable teams to execute effectively. This critical role acts as the operational bridge between Marketing strategy and execution, ensuring programs are measurable, scalable, and aligned to pipeline growth.

Based out of Canada or the United States (In Provinces & States we can hire legally), this role will report into the Vice President, Revenue Strategy & Operations.

WHAT YOU’LL DO:

Strategy & Operating Model

• Design and oversee the implementation of  the marketing operations strategy aligned to revenue and demand priorities
• Establish campaign governance, planning cadence, and execution standards
• Design scalable lifecycle processes across demand, field, and customer marketing
• Partner with Marketing leadership on annual planning, segmentation strategy, and program prioritization

Technology & Data Partnership

• Partner with Sales Technology, RevOps, and Data teams to shape the marketing technology roadmap
• Translate strategic business objectives and operational needs into use cases that guide platform decisions and drive measurable impact. 
• Influence architecture, integrations, and data design to enable lifecycle execution and measurement
• Drive marketing readiness for new capabilities including process design, rollout, and adoption to maximize impact
• Establish frameworks for campaign structure, tracking, and data standards to enable reliable  reporting and attribution
• Translate strategic initiatives into operational and platform requirements that support marketing transformation

Process, Measurement & Execution

• Define KPIs across funnel, pipeline creation, conversion, velocity, and ROI
• Establish attribution approach and performance frameworks
• Deliver executive insights that informs investment decisions, planning and performance optimization

• Standardize campaign intake, build, QA, and launch processes
• Improve lead management, scoring, routing, and lifecycle governance
• Drive automation and operational efficiency

Leadership

• Lead, develop, and evolve the Marketing Operations and analytics team by setting clear expectations, providing coaching and feedback, managing performance, and fostering an inclusive, collaborative environment aligned with organizational goals.
• Define priorities, operating rhythms, and ways of working for the function
• Partner cross functionally to align GTM planning and execution
• Act as strategic advisor to Marketing leadership

WHAT YOU’LL NEED:

• 15+ years in Marketing or Revenue Operations in SaaS environment
• Experience building and scaling marketing operating models in growth stage companies
• Proven experience influencing cross functional strategy and roadmaps
• Strong understanding of funnel management, lifecycle design, and attribution
• Experience supporting planning, forecasting, and pipeline strategy
• Expertise in lead scoring, ABM architecture, and performance measurement
• Experience leading teams and driving operational transformation
• Executive communication and stakeholder alignment skills
• Familiarity with Salesforce, marketing automation platforms, intent platforms (e.g., 6sense), conversation intelligence, and BI tools
• Inclusive Leadership: Builds inclusive, cohesive teams which apply diversity to achieve common goals
• Play to Win: Capably delivers results through others, is good at establishing clear direction, helping others achieve their best work
• Long Range Planning: Identifies key issues and relationships relevant to achieving a long-range goal or vision; Builds an integrated plan for course of action to accomplish this vision
• Enablement: Challenges and supports others to create results but also develop new capabilities. Successfully develops the capacity and capability of team and individuals on the team

WHO YOU ARE:

• Tenacious. You are determined to succeed, and you are motivated by the success of customers, colleagues and the community.
• Curious. You are always learning and seeking ways to make things better.
• Conscientious. You keep your promises, taking your commitments to others seriously, and you have strong integrity.
• Humble. You lead with humility and empathy, respecting and learning from the perspectives of others. 

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

We're growing fast and hiring the talent to match.

As such, we’re hiring an Acquisition Lead to own and optimize our inbound growth engine across paid and organic channels, reporting to the VP of Growth Marketing & Strategy. You will lead a group of seasoned performance marketers and be accountable for pipeline, operational efficiency, and forecast accuracy.

Your mandate is simple:

• Build a scalable, AI-native acquisition engine that drives predictable, revenue-efficient pipeline growth.
• Allocate capital with precision, continuously optimizing for pipeline, CAC, and long-term return.

What you’ll do:

• Revenue & Performance Ownership

• Own inbound pipeline and multi-quarter growth forecasting, grounded in conversion, velocity, and revenue assumptions.
• Deliver performance predictability — proactively managing variance, efficiency, and capital allocation.

• Leadership & Standards
  • Lead and elevate senior performance marketers by setting uncompromising standards for rigor, accountability, and strategic clarity.
  • Design structured planning, experimentation, and review cadences that eliminate siloed optimization and drive portfolio-level thinking.
• Operational Discipline
  • Implement documented channel strategies, revenue-linked scorecards, and defined experimentation frameworks before scaling spend.
  • Ensure clean attribution alignment, executive-ready reporting, and decisions grounded in measurable business impact, not channel optics.
• Channel & Portfolio Mastery
  • Maintain deep fluency across Paid Search, Paid Social, SEO/GEO, and cross-channel budget modeling, with the ability to audit, diagnose, and reset strategy when needed.
  • Optimize at the portfolio level, balancing efficiency curves and incremental return across channels.
• AI as Competitive Advantage
  • Build AI-enabled workflows that materially improve velocity, insight generation, forecasting accuracy, and operator leverage.
  • Use AI to increase experimentation speed and performance efficiency, not as embedded infrastructure.

About you:

• 7+ years in B2B acquisition/performance marketing (SaaS preferred).
• 2+ years managing performance marketing teams.
• Demonstrated success scaling inbound pipeline with multi-million dollar budgets.
• Deep expertise across Google Ads, LinkedIn, paid social, and SEO.
• Demonstrated experience scaling pipeline efficiently (not just traffic).
• Strong analytical capabilities (Excel/Sheets proficiency required).
• Experience with BI/reporting tools (Tableau, Looker, etc.).
• Strong understanding of attribution models and funnel metrics.
• Clear track record of experimentation and iterative optimization.
• You’ve thrived in demanding environments with outsized impact and have experienced what great execution looks like at speed.
• AI Fluency (Required)

• Daily user of AI tools (ChatGPT, Claude, Perplexity, etc.).
• Experience applying AI to creative generation, data analysis, or workflow automation.
• Strong prompting skills and ability to QA AI outputs.
• Bias toward automation and operational leverage.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment program.
• Take what you need PTO
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

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

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

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About the CMS Registry Solution

The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection.

We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA.

You’ll join a small, critical, high-impact support team (engineers, product owner, engineering manager) focused on keeping customer-facing systems reliable and resolving real production issues. You’ll own the operational health of key parts of the platform, contribute to incident response and reliability improvements, and help raise the quality bar through strong troubleshooting, documentation, and engineering judgment.

The Software Engineer — Support is an individual contributor responsible for maintaining the reliability, stability, and operational health of CMS services. This role focuses on hands-on execution within a single team or service area, supporting production systems and contributing to continuous operational improvement.

The role works across the full stack — Angular frontends, .NET (Core / 6+ / .NET 8) services, and SQL Server — and delivers KTLO / BAU outcomes including incident response, production troubleshooting, runbook maintenance, release and patch support, and reliability improvements under guidance.

The engineer collaborates closely with Product, Development, Platform, and Database teams to help ensure service availability, meet SLAs, and support safe change delivery.

What You’ll Do: 

Incident Management & Operations

• Support the reliability and operational health of current EC2-hosted services while assisting with incident response, monitoring, and KTLO operations during the migration to containerized deployments
• Participate in production incident response by triaging issues and contributing to resolution in line with defined SLAs
• Participate in an on-call rotation, following established escalation paths and providing after-hours support as required
• Communicate incident status and updates clearly to technical stakeholders

Monitoring, Troubleshooting & Reliability

• Monitor application and infrastructure health using tools such as New Relic, SolarWinds DPA, CloudWatch, or Datadog
• Proactively tune alerts and act on early warning signals to prevent customer impact
• Diagnose complex production issues using logs, traces, metrics, and user reports
• Apply mitigations and deliver permanent fixes in collaboration with development teams

KTLO / BAU Ownership

• Maintain and update runbooks, playbooks, FAQs, and troubleshooting documentation
• Perform KTLO activities such as scheduled maintenance, patching, backups and restores, database indexing, archiving jobs, and capacity checks
• Support releases, hotfixes, and patches, including deployment validation and production smoke testing

Continuous Improvement

• Contribute to root cause analysis (RCA) for production incidents
• Identify recurring issues and suggest operational or automation improvements
• Assist with performance investigations, including SQL query analysis, under guidance
• Adopt automation and AI-assisted tooling to reduce operational toil and improve triage efficiency

What We’re Looking For:

Must Have

• Hands-on experience with .NET and C#, including modern .NET runtimes, for production support and fixes
• Familiarity with AWS services such as EC2, S3, CloudWatch, and IAM
• Exposure to CI/CD pipelines (GitHub Actions preferred), including release support and troubleshooting
• A DevOps mindset with interest in build, deploy, operate, and improve workflows
• Working knowledge of Angular, TypeScript, and RESTful APIs, with the ability to debug issues across the stack
• Experience supporting SQL Server–based applications, including basic performance analysis and operational tasks (AWS RDS experience a plus)
• Comfort working in production environments and responding to incidents
• Interest in using AI-assisted development and intelligent QA tools to improve productivity
• Strong collaboration, communication, and ownership mindset

Nice-To-Have

• Experience with Docker and containerized applications
• Exposure to Infrastructure as Code (Terraform or CloudFormation)
• Familiarity with modern test automation tools (e.g., Playwright, Cypress)
• Prior experience in L2/L3 production support or on-call rotations

Impact You’ll Deliver:

By joining the Support team, you’ll help keep the CMS platform stable and trusted by contributing to faster incident resolution, safer releases, improved operational documentation, and the organization’s transition toward more cloud-native and automated operations.

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

---

The base salary range for this position is CAD $100,000 – CAD $150,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

---

About the CMS Registry Solution

The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection.

We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA.

You’ll join a small, critical and high-impact team (engineers, product owner, engineering manager) focused on solving real customer problems with durable systems. You’ll be expected to own a major slice of the platform, lead technical execution for key initiatives, and raise the quality bar through strong engineering judgment.

What You’ll Do: 

Build & Evolve Critical Systems 

• Design and implement scalable, resilient backend and frontend services using .NET (Core / 6+ / 8), Angular, and RESTful APIs
• Lead registry modernization initiatives, including containerization of legacy .NET workloads, runtime upgrades, and improvements to deployment and operational reliability
• Contribute to data-layer improvements, focusing on performance, scalability, and operational reliability

Own Architecture & Technical Decisions 

• Drive technical design discussions and make pragmatic architectural decisions within the team
• Integrate observability, security, and performance best practices into system design
• Balance technical excellence with delivery needs when evolving existing systems

Build With an Ownership Mindset 

• Own solutions end-to-end, from design through deployment and production operation
• Establish and improve CI/CD pipelines using GitHub Actions and contribute to standardized engineering practices
• Take accountability for reliability, operational outcomes, and continuous improvement of owned systems

Collaborate & Lead 

• Collaborate closely with Product, Platform, and other engineering teams to deliver production-ready capabilities
• Mentor and support other engineers through code reviews, design discussions, and day-to-day technical leadership
• Act as a role model for strong ownership, technical quality, and constructive collaboration

What We’re Looking For:

Must Have

• Strong hands-on experience building production systems with .NET and C# (modern .NET preferred)
• Experience working with AWS services such as EC2, S3, CloudWatch, and IAM
• Proficiency in Angular, TypeScript, and RESTful API design
• Solid understanding of SQL Server and relational data modeling (managed database experience a plus)
• Comfort operating in production environments and learning from real-world feedback
• Demonstrated experience leveraging AI-assisted development and testing tools to improve productivity, code quality, and operational efficiency
• Clear communication skills and a collaborative, ownership-driven approach
• A builder’s mindset: If you can think it, you can build it. If you build it, you own it.

Nice-To-Have

• Experience with Docker, Terraform / CloudFormation, or Kubernetes-based platforms
• Background in system modernization, refactoring, or legacy platform evolution
• Experience with database performance optimization
• Exposure to AI-driven QA (e.g., Playwright, Cypress with AI integrations)

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

---

The base salary range for this position is CAD $140,000 – CAD $190,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

The Auth0 platform secures more than 100 million logins each day for customers all around the world - and we're growing fast! The Platform Runtime team enables Auth0 engineers to move faster by giving them the foundational infrastructure to deploy and manage their services on AWS and Azure. This is a role with a huge impact. You will get to work with engineers throughout the organization and what you build will be a foundational piece of the infrastructure that allows Auth0 to scale for years to come.

We are looking for a Senior Engineer who is passionate about distributed systems, availability, and delivering customer value. Because we build and support the overall Auth0 platform, the ideal candidate is someone who is passionate about low level infrastructure, operations, and not intimidated by cross-organization coordination and collaboration.

You will:

• Serve as the ultimate technical authority and final escalation point for advanced Kubernetes cluster troubleshooting, ensuring the continuous stability and resilience of our foundational infrastructure.
• Define and enforce organization-wide standards and architectural guidelines for Terraform. You will maintain core provider functionality and oversee critical security protocols, including automated credential rotation machinery.
• Develop and maintain application deployment standards, managing Kustomize and built-ins to standardize and streamline deployments across all product teams.
• Orchestrate complex GitOps workflows leveraging ArgoCD and Argo Workflows. You will take full ownership of Environment Lifecycle Management, handling everything from environment creation, synchronization, and user onboarding to failover procedures and safe deletion.
• Architect the Testing Automation Framework to support dynamic environment provisioning and destruction. This will enable advanced quality assurance practices, such as chaos testing, while empowering teams to manage their own test workflows.
• Oversee the Control Plane infrastructure, guaranteeing operational stability and managing essential platform services, including HashiCorp Vault and our fleet of self-hosted GitHub Action Runners.
• Lead the intra-space network architecture, driving the implementation, management, and scaling of our Service Mesh to ensure secure and efficient service-to-service communication.
• Participate in the team's on-call rotation.

You might be a good fit if you:

• Have 5+ years of software development experience, specifically working with infrastructure or platform.
• Are proficient in Golang.
• Have a deep understanding of Kubernetes and containerization.
• Have DevOps experience using cloud-agnostic, cloud-native technologies.
• Demonstrable knowledge of TCP/IP and HTTP fundamentals.
• Have demonstrable expertise managing cloud resources (AWS/Azure) via code, specifically for automated provisioning.
• Have experience managing infrastructure with Terraform at scale.
• Bring a Tier-1 Service mindset: you write code that handles edge cases, network partitions, and partial failures gracefully.
• Tend to deliver work incrementally to get feedback and iterate over solutions.
• Have a passion for working on systems that are highly reliable, maintainable, scalable and secure.
• Bring the right attitude to the team: ownership, accountability, and attention to detail.
• Are comfortable working on a fully-distributed team.
• Have a relentless passion for ownership, accountability, and diving into complexity to deliver highly reliable and performant systems.

Extra Points:

• Significant experience with PostgreSQL for managing complex, relational entity state.
• Experience building custom Kubernetes controllers or extending Terraform providers.
• Familiarity with gRPC for high-performance internal service communication.

#LI-Hybrid

P24752

Sr. SEO Specialist - Job Description Overview

Okta is seeking a highly skilled and results-oriented Senior SEO Specialist to independently drive high-impact SEO and GEO work across Okta.com. This is a senior individual contributor role that requires full ownership, proactive problem-solving, and senior-level decision-making across technical, content, and analytical SEO initiatives. The ideal candidate demonstrates strong judgment, clear communication, operational rigor, fruitful cross-functional collaboration, and the ability to translate SEO insights into measurable business outcomes with minimal oversight. 

Strategic Leadership & Ownership

• Operate with minimal supervision, taking full ownership of all assigned work and proactively solving problems and identifying opportunities
• Self-initiate SEO checks, QA, competitive research, and the development of new ideas and strategies
• Manage multiple concurrent projects effectively, meeting both deadlines and quality standards while triaging needs based on business impact
• Create and communicate SEO strategy roadmaps with stakeholders and Okta leadership
• Proactively update manager and stakeholders on project status and progress
• Understands how to work in a collaborative team environment and enterprise organization who can be impactful via strong POVs, but can also 
• Stay current on industry changes (SEO, AI/GEO/AEO) and apply new insights to daily work and long-term strategy

Core SEO Execution

• Demonstrate SEO expertise consistent with 5+ years of professional experience, understanding the why behind SEO issues
• Identify and prioritize SEO gaps based on potential business impact and measurable outcomes (acquisition, performance)
• Utilize systems, checklists, and repeatable processes to ensure comprehensive and high-quality analysis and execution
• Maintain a strong working understanding of Okta’s business model and product offerings
• Correlate cause-and-effect relationships in SEO performance to synthesize trends and patterns
• Mentor and enable marketing and non-marketing stakeholders to adopt SEO best practices
• Develop best practice documentation to enable internal teams to self-service

Communication & Delivery

• Provide senior-level insights, synthesis, and actionable recommendations.
• Communicate complex SEO concepts clearly and effectively to both technical and non-technical audiences
• QA all work prior to stakeholder review, have a strong attention to detail, and anticipate stakeholder questions and address them proactively
• Use a self-owned resources and task management system (e.g., Asana) to manage work, files, tools, links, and deadlines with accurate status, ownership, and due dates

Qualifications

• 5+ years of professional experience demonstrating advanced SEO expertise (technical, content, and analytical).
• Knowledge of multiple SEO platforms such as STAT, SEMRush, Lumar/DeepCrawl, Looker Studio, Google Analytics, Google Search Console, Screaming Frog, and more.
• Experience with Adobe Experience Manager (AEM) is a plus
• Passionate about SEO, GEO, content strategy, AI, and digital marketing
• Proficiency in spreadsheets, including, but limited to functions such as VLOOKUPs, % change formulas, conditional formatting, and more.
• Comfortable navigating CMS platforms and making accurate site changes if needed
• Experience with reporting platforms like GA4, Adobe Analytics, Looker Studio, and more.
• Proven ability to leverage SEO tools, AI, and automation to increase efficiency and scale impact.
• Ability to create impactful slide decks, deliverables, and reporting materials for senior-level audiences
• A collaborative mindset that contributes positively to team velocity, quality, and morale.

#LI - Hybrid

#P14372_3362158

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

AI Operations Engineer 

Team: Technical Operations - AI Operations

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

Overview:

Guidepoint's Engineering team thrives on delivering innovative technology solutions that accelerate revenue growth, reduce costs and increase efficiency and productivity. As Guidepoint works to achieve it's mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to create new products, improve existing platforms to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do:

• Design, build, and maintain scalable test automation frameworks.
• Automate functional, API, and integration test cases by developing reusable and maintainable automated scripts.
• Analyze and troubleshoot issues related to automated and load testing, propose solutions, and enhance existing scripts where needed.
• Review test results, determine root causes of failures, assess severity and scope, and guide prioritization for resolution.
• Collaborate with developers to integrate automated tests into CI/CD pipelines, ensuring quality at every stage of delivery.
• Provide regular updates on defects, regression test status, and automation progress through Jira and other reporting tools.
• Assist in planning, developing, and delivering training on test automation frameworks and tools.
• Maintain clear documentation of automation processes, templates, and best practices while driving process improvements.
• Partner closely with engineering teams, product owners, and QA peers in Agile environments to define acceptance criteria and testing approaches.
• Stay updated with technology trends and continuously improve test automation practices.
• Support functional and regression testing efforts as needed to ensure end-to-end quality.

What You Have:

• 3–6 years of experience in an SDET or QA Automation engineering role with significant hands-on API automation experience.
• Strong programming skills in Java for test automation.
• Proven experience with automated testing tools and practices (e.g., Selenium or similar) along with Web Service / API testing.
• Hands-on experience testing REST APIs using tools or frameworks such as RestAssured, Postman (automation), or similar.
• Solid understanding of HTTP protocols, API contracts, and service-oriented architectures (SOA).
• Solid understanding of the software development lifecycle (SDLC) and exposure to Agile, Waterfall, and Scrum.
• Experience with performance/load testing tools and approaches, including APIs.
• Familiarity with ticketing systems (Jira preferred).
• In-depth knowledge of SOA frameworks, processes, strategies, and approaches.
• Practical experience with CI/CD and DevOps tools, with the ability to integrate API and UI automation into delivery pipelines.
• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or related field.

What We Offer:  

The annual base salary range for this position is $100,000 - $130,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

• Paid Time Off 
• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-NJ1

#LI-hybrid

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

The Rider Quality team is a critical starting point for this mission - but we're not doing traditional QA. We’re building the future of quality engineering.

This is an opportunity to step into a mid-level role where you’ll do more than write code - you’ll help build and evolve systems that improve how engineers deliver products faster, happier, and with fewer bugs. We are shifting away from manual processes and legacy automation frameworks, and investing in Artificial Intelligence and agentic approaches to drive a meaningful “shift left” across the organization.

Success in this role is measured by tangible impact, including improvements in developer experience, engineering efficiency, and reductions in production issues.

What you'll accomplish:

• Help pave the path: Contribute to building self-service tooling and “paved paths” that reduce developer friction and improve productivity across the mobile engineering organization.
• Grow as an AI practitioner: Support the development of in-house AI tooling (using Python and Go), working on problems like test case generation, smarter test execution, and accessibility monitoring.
• Drive impact at scale: Assist in integrating intelligent systems into developer workflows to enable faster feedback and improve overall product quality.

About the Team

The Rider Quality team focuses on elevating quality, testing, and accessibility across our mobile platforms. We are evolving our strategy to leverage automation and AI to transform how testing is done.

Our philosophy is to empower developers to self-serve rather than rely on centralized bottlenecks. By building smart, automated tooling, we aim to remove friction and enable teams to move faster with confidence.

The Role

We are looking for a skilled and motivated Software Engineer to join our team. You will contribute to building the next generation of our quality platform, including AI-powered tooling for test generation, validation, and execution.

You’ll work closely with senior engineers to integrate these tools into developer workflows, helping ensure seamless adoption and measurable impact. This is a great opportunity for someone with a strong engineering foundation who is interested in automation and applying emerging technologies to real-world quality challenges.

Responsibilities:

• Contribute to the design and development of AI-powered tools and automation frameworks for testing.
• Build and enhance self-service tooling that enables developers to take ownership of quality.
• Integrate automation solutions into CI/CD pipelines to support fast and continuous feedback.
• Partner with QA and Test Automation Engineers to identify gaps and implement scalable solutions.
• Support accessibility testing and monitoring efforts across the development lifecycle.
• Collaborate with teammates and learn from senior engineers to grow your technical expertise.
• Work with technologies such as Python and Go, with exposure to mobile platforms (Swift/Kotlin).

Experience:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 3+ years of experience in software engineering with exposure to building reliable systems.
• Interest in or exposure to AI/ML concepts, particularly in testing or automation contexts.
• Proficiency in Python and/or Go.
• Familiarity with mobile development concepts (Swift/Kotlin is a plus, but not required).
• Strong problem-solving skills and a desire to improve systems through automation.
• Good communication and collaboration skills.

Benefits:

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

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

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

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

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

This job fills an existing vacancy.

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

Our core philosophy is to empower developers to self-serve rather than be bottlenecked by a central quality team. We believe that by creating smart, automated tooling, we can eliminate common roadblocks, making developers happier and more productive.

The Rider Quality team is focused on elevating quality, testing, and accessibility across our mobile platforms. We are currently shifting our strategy to heavily leverage automation and AI to revolutionize how we approach testing. We're not doing traditional QA - we're building the future of quality engineering.

This is a chance to step into a Senior role where you won't just write code; you'll design systems that define how hundreds of engineers deliver product faster, happier, and with fewer bugs. We are fundamentally shifting away from manual processes and existing automation frameworks that struggle to keep up, betting heavily on Artificial Intelligence and agentic frameworks to drive a massive "shift left" in our organization.

Success in this role is measured by tangible impact, including increased developer satisfaction, engineering hours saved, and bugs/incidents avoided in production.

We are seeking a highly skilled and innovative Senior Software Engineer to join our team. You will be instrumental in building the next generation of our quality assurance platform. You will be responsible for designing and developing advanced AI-powered tooling for test case generation, review, and execution. Your work will directly impact our ability to provide fast, actionable feedback to developers, "shifting left" to ensure quality from the earliest stages of development.

You will play a key role in integrating these tools into our existing developer workflows, ensuring seamless adoption and maximum impact. We are looking for someone with a strong background in software engineering who is passionate about automation and can think creatively about how to apply cutting-edge technology to solve complex quality challenges.

What you'll accomplish:

• Pave the path: You will be the architect of self-service tooling, creating "paved paths" that eliminate developer friction and bottlenecks. Your work will directly increase the productivity and happiness of our entire mobile engineering organization.
• Be an AI pioneer: You will design, build, and deploy our in-house AI tooling (using Python and Go), tackling complex problems like automatic test case generation, smart test execution, and comprehensive accessibility monitoring from design to production.
• Scale and impact: You will own the strategy for integrating these intelligent systems into the developer workflow, ensuring fast, continuous feedback and ensuring a world-class, accessible experience for every rider.

Responsibilities:

• Design, build, and deploy AI-powered tools and agentic frameworks to automate test case generation, review, and execution.
• Create self-service tooling and paved paths that empower developers to own quality and receive fast feedback without waiting on manual processes.
• Integrate new automation tools and workflows into our CI/CD pipeline to provide fast, continuous feedback to engineering teams.
• Collaborate with our QA and Test Automation Engineers to understand current testing challenges and develop automated solutions.
• Architect and implement accessibility testing and monitoring solutions across the entire value stream, from design to production.
• Mentor junior engineers and contribute to a culture of engineering excellence and innovation.
• Work with technologies including Python and Go for tooling development, with an understanding of mobile platforms (Swift and Kotlin) for integration.

Experience:

• You have a Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• You have 5+ years of experience as a software engineer with a strong background in building scalable and reliable systems.
• You have experience with or a strong interest in AI and machine learning, particularly as it applies to software testing and quality assurance.
• You are proficient in Python and/or Go.
• You have an understanding of mobile development principles, with prior experience in Swift or Kotlin a strong plus, or the ability to learn mobile concepts quickly.
• You are a proactive problem-solver with a knack for identifying inefficiencies and building automated solutions.
• You have excellent communication and collaboration skills, able to work effectively with cross-functional teams.

Benefits:

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

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

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

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

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

This job fills an existing vacancy.

Location

This role requires working from our 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

At Opendoor, AI isn’t a side project - it’s how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. You will help define the future of how we work by building AI powered workflows, automation, and experiences that drive leverage across Finance — spanning month-end close, SEC Reporting, FP&A, Technical Accounting, Tax, Procurement, Accounts Payable, and Payroll. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll make systems design and tooling decisions that affect how our Finance operations scale – so we need people who think critically about what and why they build, the impact it will have on our team, and how to measure success. 

We're looking for AI-native builders who know how to automate complex operational workflows. The accounting and finance domain knowledge can be learned — what matters most is that you're wired to build, that you default to AI in how you approach problems, and that you can map messy business processes into clean, automated systems. 

Why Join Us

• Build AI automation for our Financial Operations from the ground up
• Work on cutting-edge systems directly impacting key Finance processes in a public company 
• Collaborate with talented engineers and finance team members
• Access to enterprise AI tools — Claude Code, Cursor, and LLM APIs. We invest heavily in AI infrastructure so you can build and experiment.

What You'll Do

This is a hands-on individual contributor role. You will design, build, and ship automations — not just evaluate tools or write strategy decks.

• Turn complex Accounting and Finance problems into clear system designs, experiments, and implementation plans
• Build and maintain AI-powered automation that improves operational efficiency, accuracy, and scale across Finance functions
• Automate workflows (journal entries, reconciliations, flux analysis) using SQL, Python, and agentic AI
• Maintain clean, auditable data throughout automated workflows, with dashboards and controls that support both operational and compliance needs
• Partner with the internal SOX team and external auditors to ensure automated processes meet compliance standards and are well-documented
• Build and scale AI literacy across the Finance team through runbooks, documentation, best practices, and hands-on training 

What You'll Bring

• At least 5+ years of work experience building automation, operational workflows, or data systems in any industry. 
• Familiarity with LLM deployment, context engineering and comfortable writing SQL or Python code
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring

Systems Thinking: You understand how data flows through operational systems. You can look at a business process, identify the inputs, outputs, dependencies, and failure modes, and design automation around it.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. 

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL code, working with APIs, and stitching tools together to ship solutions fast.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job and ensure performance, scalability and resiliency.

Bonus if you have:

• Experience in Accounting or Finance 
• Comfort working in regulated or compliance-sensitive environments

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Ideal candidates will have experience with the following tech stack:

• AI coding assistants: Claude Code, Cursor, or similar 
• Workflow automation: Gumloop or similar platforms
• MCP integrations
• Agentic AI frameworks or building automation flows 
• Data / ERP platforms: Snowflake, NetSuite, Ramp or similar 

Note: Opendoor provides enterprise-level access to all AI tools listed above. Our engineers currently consume billions of AI tokens per month across the company and are not constrained by token limits or personal account restrictions.

Compensation

Our compensation plan consists of a base salary and Opendoor equity  in addition to 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

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: Our strategy is simple—we aim to match the market. 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. When you're at our corporate head office, enjoy a relaxed and collaborative environment featuring breakout rooms for brainstorming and unwinding, plus a variety of snacks to keep you energized throughout the day.

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: Director, Service Delivery & Omnichannel Solutions

We’re seeking a Director, Service Delivery & Omnichannel Solutions to lead enterprise-wide service delivery across IT Service Desk operations and the full omnichannel ecosystem. This role is responsible for defining strategy, driving modernization, ensuring operational excellence, and delivering seamless customer and employee experiences across all channels.

What You’ll Do

Service Delivery Strategy & Operations:

• Define and lead the enterprise service delivery strategy and operating model across Service Desk and omnichannel platforms
• Oversee day-to-day operations, ensuring SLA/SLO performance, stability, and continuous improvement
• Lead incident, problem, and change management practices to ensure operational resilience

Omnichannel Platform Leadership:

• Oversee voice, IVR/IVA, chat, messaging, email, social, and in-store support channels
• Ensure seamless integration across CRM, ITSM, analytics, and identity systems
• Drive automation, self-service, and knowledge-centered service improvements

Data, Insights & Executive Reporting:

• Develop real-time dashboards and reporting to drive operational transparency
• Translate data into actionable insights and business recommendations
• Present performance, risks, and opportunities to executive stakeholders

Stakeholder & Vendor Management:

• Partner with IT, CX, Risk, Finance, and business leaders to align priorities
• Manage multi-vendor ecosystems and ensure performance against SLAs
• Lead governance forums and cross-functional initiatives

People Leadership & Culture:

• Lead and develop high-performing teams across service delivery and platforms
• Foster a culture of accountability, innovation, and continuous improvement
• Build leadership capability and succession planning

What You’ll Bring to the Table

• 12+ years of experience in service delivery, IT operations, or omnichannel environments
• 5+ years in senior leadership roles with budget and team accountability
• Deep expertise in Service Desk, ITSM, and omnichannel platforms (IVR, chat, WFM, QA, etc.)
• Strong experience in vendor management and regulated environments
• Proven ability to lead large-scale transformation and modernization initiatives
• Strong executive presence and stakeholder management skills

Education + Experience

• Bachelor’s degree in Business, IT, Operations, or related field
• MBA or advanced degree is an asset
• ITIL v4 required; PMP, Lean/Six Sigma, or similar certifications are assets

Ready to lead enterprise service delivery and shape the future of omnichannel experiences? Join us and drive meaningful impact at MFSG.

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$ 155000 to C$ 165000.

ABOUT THE ROLE

We are looking for a skilled Senior QA Engineer to join our team and own the quality assurance function across an active Agile delivery engagement. Reporting to the Delivery/Engineering Lead, you will be responsible for continuous test automation that runs in parallel with sprint development cycles — ensuring that every feature shipped is reliable, secure, and production-ready.

Your primary focus will span three core areas: UI automation using Cypress, API validation using Postman, and security/compliance validation through Veracode scanning. Beyond ongoing sprint support, you will serve as the dedicated QA resource during the client's formal User Acceptance Testing (UAT) phase — triaging defects, driving bug resolution, and delivering quick-fixes under real-world acceptance pressure.

This role suits a QA professional who takes ownership of quality end-to-end, can operate autonomously within a fast-moving delivery team, and understands that great QA is as much about preventing issues as catching them.

WHAT WE ARE LOOKING FOR

Must-Have

• 4+ years of experience in software QA with a strong focus on test automation in Agile/Scrum environments
• Hands-on proficiency with Cypress for UI/end-to-end test automation, including test suite architecture and maintenance
• Demonstrated experience with Postman for API testing, including collection design, environment management, and automated assertions
• Working knowledge of Veracode or equivalent SAST/DAST tools for vulnerability scanning and security validation pre-release
• Experience executing QA activities concurrently with sprint development — not just at the end of the cycle
• Proven ability to triage, prioritize, and resolve defects rapidly during UAT phases under client-facing pressure

Nice-to-Have

• Experience integrating test automation into CI/CD pipelines (Jenkins, GitHub Actions, or similar)
• Familiarity with coding standards review and quality gates as part of a release checklist
• Exposure to OWASP or other security testing frameworks

WHO YOU ARE

• Proactive by default — you don't wait to be handed a test plan; you identify gaps, build coverage, and raise risks before they become issues
• Detail-oriented under pressure — you maintain rigor during high-stakes phases like UAT without sacrificing speed or client confidence
• A clear communicator — you can translate a failing test or a Veracode flag into plain language that developers, PMs, and clients can act on
• Sprint-native — you think in iterations, adapt quickly to shifting priorities, and know how to balance thoroughness with delivery velocity
• Ownership-driven — you treat quality as your accountability, not a shared afterthought, and take pride in clean, confident releases
• Collaborative but independent — you work closely with developers and product teams, but you don't need hand-holding to deliver

What We Need

The NetBrain release team is responsible for management of release of NetBrain products.  We are seeking a Software Release Engineer to join our team. The Software Release Engineer will report to Architect team and will work on the design, build and implementation of CI/CD flows and installation packages. The world’s leading enterprises rely on our products to automatically diagram, troubleshoot and design their networks. The software development team at NetBrain fosters a challenging work environment and encourages innovation, teamwork, and creativity.

What You'll Do

• Proactively engage with the development teams to define the product features, specifications, and requirements.
• Design and development of web-based network management applications from high-level architecture and network infrastructure to low-level creation of site layout, user experience, database schema, data structure, workflow, graphics, unit testing, end to end integration testing, etc.
• Work closely with the product team and various development teams to ensure complete coverage of features, scalability, and capabilities of the product's thin client environment.
• Participate in the ideation, design, development, and maintenance of CI environment
• Write clean, readable, testable, and maintainable installation script
• Work with Dev/QA/DevOps team for CI/CD and building auto test environment

What You Bring

• BS minimum in the areas of Computer Science or other related fields
• 1-3 years of relevant experience in Release Engineering or DevOps
• Familiar with Linux ( Redhat ) and Windows operating system required
• Familiar with Jenkins, GitHub, VMWare, Docker required
• Familiar with CI/CD work flow required
• Proficient in programming windows batch/Powershell command, Linux Shell script and python required
• Strong verbal and written communication skills are essential, communicate with various personnel 
• Knowledge and experience of MongoDB/ElasticSearch/Redis/Rabbitmq is a plus
• Knowledge and experience of AWS infrastructure  is a plus
• Knowledge and experience of AI coding is a plus
• Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
• Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

What We Offer

Our comprehensive compensation package is vital in how we recognize the impact that our people make in helping us achieve our goals.

For this role, the estimated base salary range is between CAD $78,000 - CAD $93,000 plus potential bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process.

Please note that the range provided is a guideline, and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes, but is not limited to, RRSP and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy.

What We Need

NetBrain is looking for an experienced Senior QA Engineer to work on a variety of automation-related projects for our unparalleled network automation platform, powered by agentic-AI. We need a detail-oriented and logical programmer who loves to be part of a team and is comfortable collaborating across multiple areas of the organization. This role works on a hybrid schedule at our Toronto, ON office and passion for software development and automation is a must-have!

What You'll Do

• Provide guidance and support to junior QA engineers; share best practices, testing techniques, and knowledge with the QA team.
• Develop detailed test plans and strategies based on project requirements and specifications; design comprehensive test cases and scenarios to cover functional and non-functional requirements; ensure complete coverage of all the use cases, test cases, and workflows.
• Execute manual and automated tests, ensuring thorough coverage of the application; perform different types of testing such as functional, regression, performance, usability, and security testing.
• Identify areas for improvement in QA processes and methodologies; stay updated with industry trends and incorporate new tools and practices into the QA process.
• Identify, document, and track software defects using appropriate tools; collaborate with development teams to reproduce, diagnose, and resolve issues.
• Collect and analyze quality metrics to evaluate the effectiveness of testing efforts; generate test reports and provide quality assessments to stakeholders; work closely with developers, product managers, and other stakeholders to ensure alignment on quality goals; participate in design and code reviews to provide feedback from a QA perspective.
• Evaluate and recommend QA tools and technologies; Ensure the QA environment and tools are properly set up and maintained; identify and assess risks associated with software releases and deployments; develop mitigation strategies to address potential quality issues; ensure that software meets regulatory standards and industry best practices; implement and enforce QA standards and guidelines within the team.
• Understand customer requirements and ensure that deliverables meet their expectations; act as a liaison between customers and the development team to address quality concerns.
• Develop and maintain automated test scripts to improve testing efficiency; Integrate automated tests into continuous integration/continuous deployment (CI/CD) pipelines.

What You Bring

• BS in Computer Science, Electrical Engineering or equivalent experience.
• 4+ years of experience in software testing or SDET roles.
• High proficiency in computer technology and advanced programming ability with Python, Java, Go or other general-purpose programming languages.
• Practical experience testing cloud infrastructure(AWS preferred).
• Solid API/Security testing and automation skills.
• Hands-on experience with CI/CD (Jenkins, GitHub Actions, etc.) and release engineering (pipelines, artifacts, approvals, progressive delivery).
• Strong understanding of networking (TLS, DNS, load balancing).
• Experience with virtualization technologies, specifically VMware (vSphere/ESXi) and Microsoft Hyper-V.
• Experience working in high-scale SaaS environments or large-scale distributed systems.
• Strong written and verbal English communication skills.
• Keen attention to detail and excellent problem-solving skills.
• Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
• Stationary Tasks: Sitting for extended periods, remaining in a stationary position.
• Able to work in our Toronto, ON office on a hybrid schedule

What We Offer

Our comprehensive compensation package is vital in how we recognize the impact that our people make in helping us achieve our goals.

For this role, the estimated base salary range is between CAD 82,000 - CAD 100,000 plus potential bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process.

Please note that the range provided is a guideline, and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes, but is not limited to, RRSP and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Location

This is an in-person role in the Toronto, Ontario office. Candidates must be based within a 50-mile commuting distance of the office (240 Richmond St W, Toronto, ON) and able to be physically present in the office 4 days a week. 

About the Team

The Executive Operations team supports Opendoor’s leadership. We operate as a direct expression of Opendoor’s values: Founder Mentality, Mission Over Ego, Default to AI, and Default to Open.

Our job is simple to say and hard to do well: we clear the path so our leaders move fast. We protect time, surface the right information, anticipate friction, and solve problems before they land on a leader’s desk.

About the Role

We’re hiring an Executive Operations Partner to support a senior leader out of our Toronto office, while also serving as the local point of contact for the Toronto workplace (~80% executive support, ~20% light office support).

The leader you’ll support is collaborative, fast-moving, and values directness. This role is built around a real partnership, someone who’ll push back when something doesn’t make sense and isn’t afraid to get into the details. There’s no formal playbook. You’ll build your own systems and approach from day one.

The long-term vision for this role is to use AI to automate the core operational work, which frees up your time to expand into more strategic, partnership-level responsibilities. The more you automate the basics, the more your role evolves. This isn’t a role where the work stays static.

What You’ll Do

The Operational Backbone:

• Own complex calendar management: protect focus time, flag conflicts proactively, and keep meeting cadence aligned with business priorities.
• Run end-to-end travel planning and logistics: flights, hotels, ground, itineraries, and real-time adjustments.
• Coordinate meeting logistics: agendas, pre-reads, notes, action items, and follow-ups.
• Draft emails, Slacks, and internal comms in your leader’s voice, at their standard.
• Manage expenses and Ramp submissions accurately and on time.
• Plan team events, offsites, and All-Hands from kickoff through run-of-show.

The Strategic Partnership:

• Prepare briefing docs ahead of key meetings so your leader walks in ready.
• Know your leader’s priorities well enough to say no on their behalf and reroute low-value asks.
• Anticipate what’s coming two weeks out and stage the work so your leader isn’t scrambling.
• Come with a solution, not just a problem. When you escalate, bring options and a recommendation.
• Drive cross-functional follow-through across teams, even ones you don’t own.
• Over-communicate. Your leader is never left wondering where something stands.

Toronto Office Support (~20%):

• Serve as the local point of contact for the Toronto office.
• Coordinate with building management and vendors for basic office needs.
• Support local events, team gatherings, and engagement activities.

AI and Automation:

"Default to AI" is a core value at Opendoor, and the Executive Operations team lives it. You don't need to be a developer, but you should already be an active user of tools like ChatGPT, Claude, or Gemini. We're looking for someone who is genuinely curious about new technology and is already experimenting with ways to use AI to work smarter. Over time, you'll partner with the team to automate routine tasks and expand into more strategic, high-impact work.

What You’ll Bring

• 2+ years in any role where you were the person making things run smoothly, whether that was operations, a startup, running your own business, or supporting a team.
• A partnership mindset. You view your leader as a primary stakeholder and take pride in driving their effectiveness and the broader team's impact.
• Experience in a fast-paced environment where you’re comfortable with ambiguity and shifting priorities.
• Strong execution. You can manage multiple priorities, stay organized, and care about getting the details right.
• Clear written and verbal communication. You can draft in someone else’s voice and know when to be brief vs. thorough.
• Proactive ownership. You don’t wait to be asked. You see the gap and close it.
• You’ve built or improved a system, process, or workflow because you saw something that needed fixing.
• Experience supporting a senior leader and understanding what it means to be a true partner.
• Familiarity with AI tools and a genuine curiosity about using them to work smarter.
• Judgment and discretion with sensitive information.
• Fluency with Google Workspace and modern collaboration tools (Slack, Notion, Ramp, or similar).

Why You’ll Love Working at Opendoor

• Work side-by-side with senior leaders and get real exposure to the business.
• Be on a team that treats Exec Ops as a strategic function, not back-office admin.
• Use and learn AI every day.
• Help shape the in-office experience for the growing Toronto team.
• Room to grow: as you automate the basics, your role expands into more complex leader coverage, team leadership, or adjacent operations roles.

Equal Opportunity

Opendoor is an Equal Opportunity Employer. We are committed to building a diverse and inclusive workplace and encourage all qualified candidates to apply.

#LI-LS
#LI-Onsite

About the role:

What you’ll do:

• Lead and develop a team of Operations Specialists across operational workflows
• Own team performance: set expectations, manage throughput, and ensure the team is meeting SLAs and transaction deadlines
• Design and iterate on workflows in partnership with operations leads, incorporating AI tooling to continuously improve efficiency and accuracy
• Serve as the primary escalation point for complex cases that require judgment beyond the specialist level
• Coordinate cross-functionally with acquisition, renovation, resale, and finance teams
• Partner with R&D and ops AI teams to identify automation opportunities, test new tools, and give feedback on what's working
• Build the culture of the team: hire people who want to work with AI, move fast, and improve the work every day
• Be the single accountable person for your function in Toronto

What you’ll bring:

• Hands-on comfort with AI tools and technology; you actively use AI in your own work and can coach a team to do the same
• Proven experience managing operations teams, in high-volume, deadline-driven environments
• Experience building or scaling operations teams; you know how to set culture and norms early
• Strong operational instincts: you can look at a workflow and quickly identify what's broken, what should be automated, and what needs a human
• Excellent communication and stakeholder management skills; you'll be the bridge between Toronto execution and US-based teams
• High accountability and bias toward action; you fix problems before they become someone else's escalation
• Comfortable in ambiguity; processes are still being built and you'll be a primary architect of how this team operates
• Opendoor is actively consolidating its internal tooling stack; comfort with new systems and change is essential

Compensation:

The compensation package offers a base salary plus Opendoor equity (RSUs). Pay 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.

Movable Ink is hiring a Product Security Engineer to help secure our codebases, CI/CD pipelines, and development practices. To succeed in this role, you'll balance a security-first mindset with a practical understanding of how engineering teams ship software—finding ways to reduce risk without slowing down delivery. This is a hands-on opportunity to build and improve the automation that keeps our code and infrastructure safe, working closely with both the Security and Engineering teams. As AI coding tools and supply chain attacks increase risk across the industry, this role is critical to staying ahead of vulnerabilities before they reach production.

Responsibilities:

• Implement and maintain static application security testing (SAST) using Semgrep across our repositories
• Configure and improve software composition analysis (SCA) tooling (Dependabot) to identify vulnerable dependencies
• Manage secrets detection scanning (Trufflehog) and respond to findings
• Integrate security scanning into CI/CD pipelines (GitHub Actions) to catch issues before code is merged
• Triage and prioritize vulnerability findings, working with engineering teams to drive remediation
• Support dynamic application security testing (DAST) efforts using tools like ZAP
• Contribute to our Application Security Posture Management (ASPM) platform to centralize findings and track remediation
• Set up and configure automation scripts to support our vulnerability management practices
• Document secure coding guidelines and help educate developers on security best practices
• Evaluate and recommend new security tools as the landscape evolves

Qualifications:

• 2+ years of experience in application security, DevSecOps, or a security-focused software engineering role
• Hands-on experience with SAST, SCA, or secrets scanning tools (Semgrep, Dependabot, Snyk, or similar)
• Familiarity with CI/CD pipelines and GitHub Actions
• Understanding of common web application vulnerabilities (OWASP Top 10) and how to detect/prevent them
• Experience reading and reviewing code in at least one language (Ruby, Python, JavaScript, or Go preferred)
• Comfortable navigating codebases and working with engineering teams to explain and prioritize security findings
• Strong written communication skills for documentation and customer-facing security responses
• Self-motivated and able to manage competing priorities in a fast-paced environment

The base pay range for this position is $170,000-$200,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Movable Ink is hiring a Product Security Engineer to help secure our codebases, CI/CD pipelines, and development practices. To succeed in this role, you'll balance a security-first mindset with a practical understanding of how engineering teams ship software: finding ways to reduce risk without slowing down delivery. This is a hands-on opportunity to build and improve the automation that keeps our code and infrastructure safe, working closely with both the Security and Engineering teams. As AI coding tools and supply chain attacks increase risk across the industry, this role is critical to staying ahead of vulnerabilities before they reach production.

Responsibilities:

• Implement and maintain static application security testing (SAST) using Semgrep across our repositories
• Configure and improve software composition analysis (SCA) tooling (Dependabot) to identify vulnerable dependencies
• Manage secrets detection scanning (Trufflehog) and respond to findings
• Integrate security scanning into CI/CD pipelines (GitHub Actions) to catch issues before code is merged
• Triage and prioritize vulnerability findings, working with engineering teams to drive remediation
• Support dynamic application security testing (DAST) efforts using tools like ZAP
• Contribute to our Application Security Posture Management (ASPM) platform to centralize findings and track remediation
• Set up and configure automation scripts to support our vulnerability management practices
• Document secure coding guidelines and help educate developers on security best practices
• Evaluate and recommend new security tools as the landscape evolves

Qualifications:

• 2+ years of experience in application security, DevSecOps, or a security-focused software engineering role
• Hands-on experience with SAST, SCA, or secrets scanning tools (Semgrep, Dependabot, Snyk, or similar)
• Familiarity with CI/CD pipelines and GitHub Actions
• Understanding of common web application vulnerabilities (OWASP Top 10) and how to detect/prevent them
• Experience reading and reviewing code in at least one language (Ruby, Python, JavaScript, or Go preferred)
• Comfortable navigating codebases and working with engineering teams to explain and prioritize security findings
• Strong written communication skills for documentation and customer-facing security responses
• Self-motivated and able to manage competing priorities in a fast-paced environment

The base pay range for this position is $133,000-$173,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Position Overview

As an LCM Supervisor, you will be responsible to plan and optimize Lifecycle Programs to drive Customer Engagement and User Retention across multiple games and genres. This position requires you to be data-driven, and focus on automation, optimization, and implementation of LCM best practices. You will be a Lifecycle Team representative in cross-functional and strategy meetings and set team objectives in line with the BU objectives.

What You'll Do 

• Manage a team of Lifecycle Specialists.

• Take ownership of specific game genres and business verticals, driving annual growth targets.

• Develop execution plans of the broader strategies for owned games.

• Manage team goals, ensuring roadmap completion through effective people management.

• Monitor day-to-day tasks to ensure timely execution of LCM initiatives, playing a crucial role in team efficiency.

• Serve as the primary problem solver for LCM Specialists, including tasks like overseeing template setup, audience segmentation, campaign deployment, A/B testing, and reporting.

• Plan and analyze A/B tests to enhance retention, engagement, conversion rate, and customer loyalty.

• Identify key user segments for targeted programs to maximize ROI and impact KPIs.

• Collaborate cross-functionally with Production, Product, Marketing, Analytics, and Support teams to craft personalized customer journeys.

• Lead post-campaign reporting, fostering transparency with stakeholders.

• Document, QA, launch, and measure both evergreen and experimental campaigns, establishing a scalable, repeatable optimization process

• Implementation of best practices for sustained channel health.

• Be analytical, critical, and offer data driven recommendations.

What You Bring

• Bachelor’s degree.

• 3+ years of relevant experience in CRM or Lifecycle Marketing roles (B2C only).

• 1+ years of managerial experience.

• Technical knowledge of HTML, SQL, and Content Management Systems like Braze/Leanplum/Moengage. CMS Tool integration experience is preferred.

• Must have experience in warming up new IPs and monitoring domain reputation.

• Technical knowledge of Email, Push, SMS, and IAMs – deliverability, optimization, and best practices.

• Self-starter with ability to thrive under pressure in a fast-paced environment.

• Strong communication, copywriting, organizational and project management skills.

• Attention to detail.

• Team-first attitude.

• Passion for games.

What We Offer You

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in Toronto at the start of employment is expected to be between $75,700 and $106,000 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

We’re looking for an Analytics Manager to own how media performance is measured, connected, and translated into insight across paid and organic campaigns.

This role is responsible for ensuring data integrity from setup through to insight, and for turning campaign signals into clear direction for planning, optimization, and future investment. You will operate inside a fast-moving, high-growth media team, where speed, accuracy, and clarity are critical to how we work.

We believe media buying should be transparent and responsive, and operational excellence in execution gets us there. Analytics is core to that process, closing the feedback loop with consumers and turning performance into clear direction for planning and investment.

Who this role is for:

Data-literate and practical. You value rigor but have a bias toward action that creates clarity. 

A clear and concise communicator. You simplify complexity and translate data into direction.

Detail-exact. You’re focused on accuracy and delivery. Nothing ships without clean tagging, QA, and accurate implementation.

A media-minded analyst. You understand how platforms like Meta, Google, and TikTok work and interpret performance in that context. 

A collaborator across disciplines in an agency or client context to ship great work.

Comfortable in a fast-paced environment. You’re energized by high standards, accountability, and building something growing.

What you’ll be responsible for:

Reporting is a core part of this role, but success is defined by how effectively you translate performance into insight and action.

Measurement, tagging, and data integrity

• Own tagging frameworks, tracking implementation, and QA across all campaigns 
• Ensure platforms (Meta, Google, TikTok, etc.) are set up to spec with clean, consistent data capture 
• Identify and resolve tracking gaps, discrepancies, and data risks early 
• Maintain clear naming conventions, UTMs, and data structure across campaigns

Connected reporting and data systems

• Build and maintain centralized dashboards (Looker Studio or similar)
• Manage API-based data connections across platforms
• Ensure data across platforms, dashboards, and site analytics aligns and reconciles
• Continuously improve reporting workflows for automation, consistency, and scalability 

Performance analysis and insight generation 

• Analyze cross-channel performance across platforms, formats, and audiences 
• Interpret delivery signals (CPM, CPV, VCR, engagement, visit rate, etc.) in the context of how media is bought
• Identify what is driving performance, not just observation
• Translate findings into clear, actionable recommendations for planning and optimization

Strategic collaboration and process management

• Partner with strategy and planning teams to inform media decisions 
• Apply learnings, benchmarks, and testing into future plans 
• Pressure test audience assumptions using real performance data 
• Feed insights into pitches, POVs, and campaign planning

What you bring

• 7–10 years in media analytics, performance measurement, or similar 
• Hands-on experience with Looker Studio, Tableau, or Power BI 
• Experience working with API-connected dashboards and multi-platform data 
• Strong understanding of paid media platforms and measurement frameworks
• Proven ability to translate data into actionable insight
• Experience working cross-functionally with planning and activation teams
• Bachelor’s degree in marketing, analytics, statistics, economics, or related field, or equivalent experience

If you’re a media thinker who loves building systems and wants to help build something meaningful, we want to hear from you.

Compensation for this role ranges from $110,000 to $140,000 CAD, depending on experience. 

Zulu Alpha Kilo is an equal opportunity employer. It prohibits discrimination based on age, colour, disability, national origin, race, religion, sex, sexual orientation, and any other legally protected class in accordance withapplicable federal, provincial, and local laws. Zulu Alpha Kilo is committed to creating and maintaining an inclusive and accessible workplace. If you are contacted for an interview and require accommodation during the interviewing process, please let us know. 

This job posting relates to an existing vacancy. Zulu Alpha Kilo uses artificial intelligence systems in the recruitment process to screen, assess, or select applicants but all hiring decisions are made by humans.  

We appreciate your interest in joining Zulu Alpha Kilo. When applicable, please include a link to your portfolio with your application. Although all applications are reviewed, only those selected for interviews will be contacted. 

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

About Human Agency

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

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

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

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

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

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

The Opportunity

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

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

Key Responsibilities

Strategic & Executive Leadership

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

AI Process Design & Automated Engines

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

Client Service Delivery & Organizational Rollouts

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

Quality, Governance & Evaluation

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

Stakeholder Management & Enablement

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

Operations & Project Management

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

Communications & Reporting

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

Who You Are

Experience & Skills

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

Mindset & Traits

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

Considerations

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

Compensation

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

Why Join Human Agency

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

Equal Opportunity Commitment

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

We are seeking a Data Analyst  to be the central data-driven operator for our analytics team. This role requires a strategic thinker who is fluent in data and can track the entire financial journey, from prospect identification and supplier enrollment to payment execution and revenue realization, providing a full-funnel view of our performance. The ideal candidate excels at synthesizing information across sales activity, operational throughput, and financial outcomes, crafting the cohesive narrative essential for strategic business growth

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 6,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

In this role, you will be responsible for:

 Full-Funnel Visibility & Revenue Reporting

• End-to-End Performance Tracking & Reporting: Deliver monthly reporting that bridges the gap between teams.
• Forecasting & Revenue Analysis: Manage monthly revenue reporting and provide data-driven forecasting. Identify bottlenecks ("stuck" revenue) and predict future performance based on current pipeline velocity.
• Strategic Dashboards & Data Storytelling: Maintain high-visibility dashboards (Excel, Salesforce) and collaborate with the central Data Team to provide real-time snapshots of funnel health and financial KPIs. Go beyond reporting complex funnel data; analyze the numbers to explain the meaning and implications, synthesizing insights into polished, executive-level PowerPoint presentations.

Operational Execution & Process Optimization

• Workflow Management & Optimization: Support critical processes including supplier onboarding workflows, pipeline management, and non-standard client reward calculations. Evaluate existing workflows to identify manual bottlenecks (from opportunity identification through to final delivery); recommend and implement automations to streamline operational efficiencies and revenue throughput.
• Proactive Gap & Bottleneck Analysis: Identify operational lags—such as a lag in sales-to-enrollment handoffs—that are impacting revenue execution, and work with the relevant teams to design and implement solutions.
• AI/Automation Integration: Leverage AI tools (ChatGPT, Copilot, etc.) to expedite data preparation, automate routine reporting cycles, and enhance the speed of insight generation.

Data Integrity & System Administration

• Data Governance & Hygiene: Act as the "gatekeeper" for data hygiene, managing deduplication and routine audits to ensure high integrity of the external supplier and card client data sourced by the Card team so it remains the definitive source of truth.
• System Administration: Partner with platform owners to ensure Salesforce and project management tool configurations capture the data points necessary to track the full lifecycle of a Card client.
• Pre-Sale Analysis Support: Oversee the QA and delivery of custom opportunity analysis used during pre-sale discovery, ensuring the sales team has accurate, data-backed insights to win deals.

Prospect Surfacing & Opportunity Identification

• Opportunity Identification: Leverage internal and external datasets to identify and surface new prospective opportunities, providing the customer-facing teams with high-potential leads.

About you 

• Experience: 5+ years in Business Operations, Sales Operations, or Revenue Ops, specifically supporting a business unit with a complex sales-to-delivery lifecycle or related experience 
• Technical Tools: Advanced Excel/Google Sheets (forecasting models, macros, complex formulas) and Salesforce (reporting, funnel tracking, and dashboarding).
• Visualization: Experience partnering with data teams to deliver dashboards in Power BI, Tableau, or Sigma.
• Education: Bachelor’s degree in Business, Finance, Economics, or a related field.

Our benefits package includes:

• Hybrid working model that requires you to be in office Monday, Tuesday, and Thursday
• Competitive salary and equity
• Matching RRSP
• Extended benefits, Employee Assistance Program, life insurance, AD&D, LTD
• Maternity, Paternity and Fertility Treatment benefits
• 15 days of PTO
• Subsidized lunch on office days
• Fresh fruit, snacks & drinks in office
• Conveniently located close to transit
• Phone/internet allowance 
• Regular company-wide social events
• Multiple ERG groups celebrating our diversity and creating an inclusive culture

Tipalti’s sales teams drive global growth for our best-in-class product. Whether you are an account executive, sales development representative, or solutions consultant, you’ll be joining a team of individuals who thrive within a fast-paced, metrics- and performance-driven sales organization. Our collaborative culture ensures that our sales teams work as one to deliver on common goals, whilst being provided with the resources to learn and grow via the Tipalti Academy.

Base Salary Range: $87,000 - $108,500 CAD annually.

The compensation information, above, reflects our reasonable expectation for this role based on several factors, including current market conditions. Final compensation will be determined through individual assessment of experience, skills, qualifications, and other job-relevant factors. Actual offers may vary within or, only in exceptional circumstances, outside the stated range based on the candidate's unique qualifications and our comprehensive evaluation process. We are committed to equitable compensation practices in compliance with applicable employment laws.

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.

Mattermost is seeking a Growth Web Engineer to own and operate a modern, AI-enabled, developer-first website that powers high-velocity campaign execution and personalized digital experiences.

This role sits at the intersection of marketing, engineering, and AI-driven workflows. You will be responsible for translating campaign strategy, intent signals, and AI-generated insights into live web experiences—quickly, reliably, and at scale.

You will play a critical role in enabling rapid experimentation, account-based experiences, and AI-assisted execution—turning the website into a core growth engine.

What You’ll Do

Daily Website Operations & Content Management

• Own the day-to-day operation of the website, including updates, edits, and publishing of pages and content
• Build, update, and launch landing pages, campaign pages, and site content on tight timelines
• Make ongoing updates to existing pages, including copy, layout, components, and integrations
• QA all changes before and after publishing to ensure accuracy, functionality, and performance
• Monitor site health and quickly resolve issues related to broken pages, components, forms, or integrations
• Support rapid turnaround requests from marketing, including same-day updates when needed
• Maintain consistency across pages, ensuring alignment with design, messaging, and conversion best practices

Own the Website as a High-Velocity System

• Manage and evolve a static-site architecture (Astro or similar)
• Build flexible, reusable components that enable rapid page creation and iteration
• Ensure the site supports frequent updates without breaking structure, performance, or tracking
• Troubleshoot and resolve rendering, formatting, and build issues quickly

Enable Personalized & ABM Experiences

• Partner with Growth Marketing and ABM to create targeted landing pages and campaign experiences for specific accounts, industries, and personas
• Translate intent signals and campaign inputs into tailored web experiences
• Build reusable templates for ABM, industry, and campaign pages to support scale and speed
• Enable rapid iteration of messaging, layouts, and CTAs based on performance and engagement

Operate AI-Assisted Page & Workflow Systems

• Use AI tools (e.g., Claude, Cursor, Copilot) to accelerate page creation and development workflows
• Translate campaign requirements into structured prompts and page outputs
• Validate and refine AI-generated code and content to ensure production quality
• Integrate the website into broader AI-driven workflows that inform lead routing, nurture behavior, and optimization
• Act on insights generated from AI systems to continuously improve page performance and relevance

Forms, Data Flow & Funnel Integration

• Build and maintain frontend form experiences within the site
• Integrate forms with Pardot using form handlers or APIs
• Ensure accurate field mapping, hidden fields, and campaign attribution
• Validate end-to-end data flow into Salesforce
• Implement and maintain conversion tracking via Google Analytics 4
• Debug and resolve issues across the full lead capture, routing, and attribution process

Integrations & Third-Party Systems

• Integrate and maintain external tools such as:
• Qualified
• Navattic
• Greenhouse
• Ensure consistent styling, performance, and tracking across all embedded systems
• Maintain reliable data flow across marketing and AI workflow systems

AEO / GEO & Technical SEO

• Structure pages and content to support both traditional SEO and AI-driven discovery (AEO/GEO)
• Implement schema, metadata, and semantic page structures to improve answer engine visibility
• Work with emerging AI search and optimization tools (e.g., Profound, AthenaHQ, or similar)
• Continuously optimize pages based on search performance, AI visibility, and engagement signals
• Monitor and address indexing and performance issues via Google Search Console

Git-Based Workflow & Deployment

• Own content and code workflows in GitHub
• Manage CI/CD pipelines and deployments (e.g., Vercel, Netlify)
• Ensure reliable publishing with minimal friction and downtime

What We’re Looking For

Core Technical Skills

• 3–6+ years in frontend, growth engineering, or similar roles
• Experience with static frameworks (Astro, Next.js, Gatsby, or equivalent)
• Strong proficiency in HTML, CSS, and JavaScript
• Experience with Git-based workflows and modern deployment pipelines

Growth & Execution Mindset

• Proven ability to launch and iterate on pages quickly in fast-paced environments
• Strong bias toward action while maintaining quality and stability
• Experience supporting marketing or growth teams (landing pages, campaigns, experimentation)

Systems & Integration Experience

• Experience working with APIs, webhooks, and third-party integrations
• Familiarity with marketing and analytics tools (Pardot, Salesforce, GA4, etc.)
• Ability to debug issues across frontend, backend, and data systems

AI & Modern Tooling

• Experience using AI tools (e.g., Claude, Cursor, Copilot) in development workflows
• Ability to generate, evaluate, and refine AI-assisted outputs
• Comfort working in environments where AI workflows are integrated into execution

Nice to Have

• Experience in B2B SaaS or enterprise marketing environments
• Familiarity with headless CMS platforms or structured content systems
• Experience implementing advanced tracking, attribution, and experimentation frameworks

Success in This Role

In your first 90 days, you will:

• Establish a fast, reliable workflow for launching and updating pages
• Deliver same-day or next-day turnaround for key campaign updates
• Enable rapid creation of personalized and ABM campaign experiences
• Implement robust form handling and ensure accurate lead flow into Pardot and Salesforce
• Integrate the website into key AI-driven workflows across marketing and sales
• Improve site flexibility through reusable components and scalable templates

Why This Role Matters

We are building a connected, AI-orchestrated growth system where insights, intent signals, and campaign strategy must translate into live digital experiences immediately.

This role ensures that happens—turning data into execution at speed and enabling personalized, high-impact experiences that drive pipeline and revenue.

Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

About The Role

Join the inference model team dedicated to bring up the state-of-the-art models, numerically validating and accelerating new model ideas on wafer-scale hardware. You will prototype architectural tweaks, build performance-eval pipelines, and turn hard numbers into changes that land in production.

Key Responsibilities

• Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge. 
• Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests. 
• Work closely with compiler, runtime, and silicon teams: unique opportunity to experience the full stack of software/hardware innovation. 
• Keep pace with the latest open- and closed-source models; run them first on wafer scale to expose new optimization opportunities. 

Skills And Qualifications 

• 3 + years building high-performance ML or systems software. 
• Solid grounding in Transformer math—attention scaling, KV-cache, quantisation—or clear evidence you learn this material rapidly. 
• Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc. 
• Strong debugging skills across performance, numerical accuracy, and runtime integration. 
• Prior experience in modeling, compilers or crafting benchmarks or performance studies; not just black-box QA tests. 
• Strong passion to leverage AI agents or workflow orchestration tools to boost personal productivity.

Assets

• Hands-on with flash-attention, Triton kernels, linear-attention, or sparsity research.
• Performance-tuning experience on custom silicon, GPUs, or FPGAs. 
• Proficiency in C/C++ programming and experience with low-level optimization. 
• Proven experience in compiler development, particularly with LLVM and/or MLIR. 
• Publications, repos, or blog posts dissecting model speed-ups. 
• Contributions to open-source agent frameworks.

About The Role 

We are seeking an experienced Manufacturing Test Engineering Lead to lead our team of manufacturing test and test automation engineers. The successful candidate will be responsible for overseeing the development, implementation, and maintenance of test strategies, processes, and systems to ensure the quality and reliability of our products. This is a key leadership role that requires strong technical expertise, excellent communication skills, and the ability to motivate and manage a team of engineers. 

Key Responsibilities: 

• Lead and manage a team of manufacturing test and test automation engineers, providing guidance, coaching, and development opportunities to ensure their growth and success. 
• Develop and implement comprehensive test strategies and plans to ensure product quality and reliability. 
• Collaborate with cross-functional teams, including design engineering, manufacturing, and quality assurance, to ensure test requirements are met. 
• Lead the team to develop and implement test systems and processes for efficiency, reduce costs, and enhance product quality improvements. 
• Collaborate with test automation and diagnostics team to design, develop, and deploy automated test solutions. 
• Identify areas for process improvement and implement changes to optimize test efficiency, reduce cycle time, and improve product quality. 
• Develop and track key performance indicators (KPIs) to measure test process effectiveness and efficiency. 
• Provide technical guidance and expertise to the test engineering team, including troubleshooting and resolving complex test-related issues. 
• Develop and manage budgets for test engineering activities, including capital expenditures and operating expenses. 
• Ensure effective utilization of resources, including personnel, equipment, and facilities. 
• Communicate test plans, results, and issues to stakeholders, including management, design engineering, manufacturing, and quality assurance. 
• Collaborate with other departments to ensure alignment and effective implementation of test strategies and processes.  

Requirements: 

• Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. 
• 8+ years of experience in manufacturing test engineering 
• Proven track record of developing and implementing effective test strategies and processes for a manufacturing environment. 
• Strong knowledge of test engineering principles, including test development, test automation, and test process improvement. 
• Familiarity with industry-standard test equipment and software, such as National Instruments, Agilent, or LabVIEW. 
• Experience with automated test frameworks and programming languages, such as Python, C++, or Java. 
• Excellent communication, leadership, and interpersonal skills. 
• Ability to motivate and manage a team of engineers, providing guidance, coaching, and development opportunities. 
• Strong problem-solving and analytical skills, with the ability to troubleshoot complex test-related issues. 

The base salary range for this position is $175,000 to $275,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Role 

We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. 

Responsibilities 

• Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment 

• Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency 

• Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains 

• Design and implement efficient processes to manage and track system bring-up status and progress 

• Track and report on critical bring-up metrics to drive continuous improvement  

• Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap 

Skills & Qualifications 

• BS or MS in EE, ECE, CS or equivalent work experience 

• 3+ years of industry experience in an operations environment 

• Experience in hardware bring-up and the debug of complex systems 

• Working knowledge and experience in Asic bringup and test processes 

• Working knowledge of scripting in languages such as Python and/or Perl 

• Proven experience in system bring-up and validation of complex computer systems or equivalent technologies 

• Understanding of computer system architecture and hardware components  

• Proficiency in scripting and automation tools for system bringup  

• Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment 

• Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand 

Preferred: 

• Familiarity in creating test and s/w infrastructure at large scale 

• Working across global time zones  

Location 

Bangalore, India/Toronto, Canada/ Sunnyvale, California.

The base salary range for this position is $170,000 to $230,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Role 

We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. 

Responsibilities 

• Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment 

• Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency 

• Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains 

• Design and implement efficient processes to manage and track system bring-up status and progress 

• Track and report on critical bring-up metrics to drive continuous improvement  

• Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap 

Skills & Qualifications 

• BS or MS in EE, ECE, CS or equivalent work experience 

• 3+ years of industry experience in an operations environment 

• Experience in hardware bring-up and the debug of complex systems 

• Working knowledge and experience in Asic bringup and test processes 

• Working knowledge of scripting in languages such as Python and/or Perl 

• Proven experience in system bring-up and validation of complex computer systems or equivalent technologies 

• Understanding of computer system architecture and hardware components  

• Proficiency in scripting and automation tools for system bringup  

• Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment 

• Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand 

Preferred: 

• Familiarity in creating test and s/w infrastructure at large scale 

• Working across global time zones  

Location 

Sunnyvale, California/ Bangalore, India/Toronto, Canada.

The base salary range for this position is $170,000 to $230,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

As one of our Lead Site Reliability Engineers, you will combine hands-on technical expertise with strategic technical leadership across infrastructure and software development. You will own the design and evolution of major systems within our multi-cloud, multi-region, active-active content serving platform that serves upwards of 25 Billion requests daily. Through a combination of architectural vision, cross-team collaboration and mentorship, you will help drive the reliability initiatives and define the technical strategy that scales our platform to 50 Billion requests per day and beyond.

Responsibilities:

• Define and drive the automation strategy for infrastructure tooling, establishing standards that minimize manual work, increase performance and reduce incident frequency and severity of incidents
• Own the design, reliability and evolution of core platform applications, mentoring team members on best practices and ensuring systems meet long-term business objectives
• Architect and lead the logging platform strategy, driving its design and balancing availability, retention and cost optimization
• Establish capacity planning and performance management frameworks, proactively identifying scaling opportunities and guiding teams through complex troubleshooting scenarios
• Lead cross-functional reliability initiatives with SRE and service engineering teams, influencing architectural decisions and championing practices that ensure resilient service delivery
• Demonstrate a  high level of  autonomy in anticipating, identifying, and addressing systemic weaknesses and opportunities for platform improvement without direct supervision.

Qualifications:

• Proven track record in Site Reliability or Software Engineering, designing, building, and owning scalable, resilient services with a focus on long-term reliability strategy
• Deep expertise in architecting and operating complex distributed systems such as Apache Pulsar, Apache Kafka, Grafana Loki, ScyllaDB/Cassandra, with the ability to guide teams through distributed system challenges
• Designing and owning automation strategies to manage services at scale, with expertise in establishing performance analysis frameworks and mentoring others on diagnostics and resolution
• Deep, hands-on experience (6+ years) in Site Reliability or Software Engineering, specifically leading and shaping multi-cloud architecture and strategy (AWS and GCP).
• Experience architecting and leading large-scale observability platforms, including defining observability standards and SLO frameworks. We use Prometheus and Thanos with Grafana Alloy, Loki and Tempo
• Experience leading on-call excellence, including driving improvements to monitoring and alerting strategies, automating runbooks and mentoring team members on incident response best practices. Every member of the SRE team does a week long on-call rotation
• Expert-level proficiency with infrastructure as code, including defining IaC standards and patterns across teams. We use Terraform and Chef
• Advanced Kubernetes expertise, including cluster architecture design, multi-tenancy strategies, and guiding teams on container orchestration best practices. We use EKS and GKE
• Proficiency in multiple programming languages with the ability to design and review code that meets reliability standards. We use NodeJS, Golang, Ruby, Python and shell scripting
• Advanced Linux systems expertise, with the ability to diagnose complex system-level issues and mentor others on performance tuning and troubleshooting

The base pay range for this position is $154,000-$200,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

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 millions of customers each year to the money they need, when they need it.

At MFSG, we work together across teams and functions 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 – Competitive pay aligned with experience and market standards
• Discretionary Annual Bonus – Rewarding both individual and company performance
• Comprehensive Benefits – Health and dental coverage with premiums fully paid, plus access to an Employee Assistance Program
• Retirement Plans – Helping you plan and save for the future
• Hybrid Work Environment – Flexibility to balance remote and in-office collaboration; enjoy our corporate HQ spaces designed for teamwork and creativity
• Perks and Rewards – Tuition reimbursement, professional development support, discounts through Perkopolis, and recognition programs that celebrate your impact

The Job: Site Reliability Engineer

The Site Reliability Engineer is responsible for ensuring the availability, performance, and resilience of the organization's digital banking and financial services platforms. This role focuses on automating operational processes, defining and maintaining service-level objectives, and engineering systems that can withstand and recover from failure. You will work closely with engineering, DevOps, QA, cybersecurity, and compliance teams to ensure platform reliability meets both technical and regulatory standards, while minimizing risk to production systems through proactive monitoring, incident response, and continuous improvement of the software delivery lifecycle.

How You’ll Make an Impact: 

Reliability Planning & Governance

• Define and maintain service-level objectives (SLOs), error budgets, and reliability targets aligned with business goals and compliance deadlines.
• Oversee the end-to-end service lifecycle, from code integration to production deployment, with a focus on stability and risk reduction.
• Ensure all changes comply with relevant financial regulations.
• Conduct reliability risk and blast-radius assessments before production changes.
• Coordinate go/no-go decisions with engineering, QA, compliance, and operations stakeholders.

Execution & Delivery

• Own build, test, and deployment pipelines across multiple environments (staging, UAT, production), ensuring changes are safe, repeatable, and observable.
• Design and maintain automated CI/CD pipelines and enforce version control policies (e.g., Git Flow) to reduce toil and human error.
• Engineer zero-downtime deployments and low-impact change strategies for high-availability systems.
• Develop and maintain rollback, failover, and disaster recovery runbooks for production incidents.

Compliance & Security Oversight

• Collaborate with Information Security and Compliance teams to validate that infrastructure and deployment practices meet data protection and privacy standards.
• Maintain audit-ready documentation of change activity, incident timelines, and remediation records.
• Support internal and external audits with detailed operational and change history.

Continuous Improvement

• Drive automation, standardization, and observability improvements across the production environment.
• Conduct post-incident reviews (blameless post-mortems) to identify systemic failures and prevent recurrence.
• Contribute to DevOps and SRE maturity initiatives across engineering teams.

Stakeholder Communication

• Act as the central liaison between product, development, and compliance teams on production health and change risk.
• Communicate change scope, reliability risks, and incident status clearly to both technical and non-technical stakeholders.
• Provide regular reliability reporting, SLO performance metrics, and incident trends to senior management.

What You Bring:

Technical Proficiency:

• CI/CD tools
• Cloud platforms (AWS, Azure).
• Containers and orchestration (Docker, Kubernetes).
• Scripting languages (Python, Bash).
• Infrastructure as Code (Terraform, Ansible).
• Observability and monitoring tools

Soft Skills:

• Strong cross-functional collaboration and communication across engineering and compliance teams.
• Rigorous attention to detail with a proactive approach to risk and failure detection.
• Ability to perform under pressure and respond decisively during incidents and regulatory deadlines.

Education + Experience:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 3-5 years in Site Reliability Engineering, DevOps, or Platform Engineering within financial services or fintech.
• Hands-on experience maintaining reliability for real-time transaction systems, mobile banking, or payment gateways.
• Familiarity with regulatory compliance requirements and their operational implications for production systems.

Ready to apply your Site Reliability Engineering expertise to make a real impact? Join us and help shape the future of tech at MFSG. Apply today and let’s build the future of MFSG, together.

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$ 110,000 to C$ 120,000. 

We are excited to welcome a skilled and motivated QA Engineer to our growing team in Toronto! In this role, you will be responsible for ensuring the highest level of quality in our products through meticulous testing, identifying potential issues, and driving continuous improvement. We're looking for someone with a keen eye for detail, a passion for problem-solving, and a commitment to delivering innovative solutions that meet both user and business needs. If you're driven by precision and collaboration, this is an opportunity to make a meaningful impact in a dynamic, fast-paced environment.

Key Responsibilities:

• Test Case Creation: Develop detailed test cases, covering positive, negative, edge, and compatibility scenarios for web and mobile applications.
• Collaboration: Work closely with developers and stakeholders to understand requirements and ensure clear communication throughout the development process.
• Documentation & Reporting: Accurately report defects and provide regular updates on testing progress, issues, and risk assessments.
• Test Execution: Execute manual and automated tests, focusing on API testing, functional, regression, and compatibility testing.
• Test Environment: Set up and maintain test environments, ensuring effective testing across multiple platforms.

Requirements:

• QA Methodologies: Knowledge of basic QA methodologies (black-box, white-box) and Agile processes in fast-paced development cycles.
• API Testing: Experience with testing APIs and validating endpoints.
• Test Case Design: Ability to design effective test cases, including edge cases and compatibility testing.
• Communication Skills: Strong written and verbal communication for reporting test results and issues.
• Testing Experience: Basic experience testing web and mobile applications across various browsers and devices.

Desired Skills:

• Test Automation: Experience with automation tools for API and UI testing (Selenium, Appium, Cypress).
• Cypress Expertise: Hands-on experience with Cypress for automated web testing.
• Performance Testing (Optional): Experience with tools like JMeter or LoadRunner is a plus.
• Version Control (Optional): Familiarity with Git for managing test scripts.

Qualifications:

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 1 year or more of experience in QA or software testing.

Annual Compensation Range:

$65,000-$80,000 CAD base + benefits + equity

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

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.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

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.

THE ROLE
TripArc builds and operates the technology platform that powers travel agencies and advisor networks across North America. The platform is complex, the pace is real, and quality assurance sits at the heart of everything that ships. This is not a maintenance role — it’s a leadership position at the center of an organization that is actively transforming, with the scope and visibility to match.

The QA Manager leads this function: owning day-to-day QA operations across multiple product pods, managing a distributed team, and keeping release quality high while the platform underneath is actively evolving. This is a hands-on leadership role — you will be in the work, not above it, collaborating directly with Development, DevOps, Product, and Delivery.

The ideal candidate brings deep QA leadership experience, strong technical instincts, and the professional maturity to operate effectively across a complex, multi-pod organization — including the ability to coach a team on AI-assisted quality workflows and what effective testing looks like when AI is generating the product being tested.

WHAT WE DO
TripArc’s development teams use AI coding tools — Claude, GitHub Copilot, and similar — as a standard part of their workflow. Familiarity with Claude is expected. We expect our QA Manager to actively champion AI-assisted quality practices: understanding how these tools change velocity and risk profiles, designing quality gates accordingly, and coaching the team on sustainable AI-native testing approaches. Candidates who have built or evolved QA practices for AI-assisted engineering teams will stand out.

WHAT YOU'LL DO

• Release Management & Reporting
  –    Own QA readiness end-to-end across all active pods — scope validation, effort estimation, risk identification, environment readiness, and sign-off
  –    Track testing progress, defect trends, and quality risks; translate signals into clear, actionable status updates for both teams and leadership
  –    Manage release plans in collaboration with the Release Manager and Product Owners, and maintain accurate risk and decision trackers
• Cross-Functional Collaboration & Delivery
  –    Coordinate across QA Analysts, Developers, Product Managers, DevOps, and Delivery through Agile ceremonies, 1:1s, and cross-team syncs — aligning priorities, surfacing risks, and removing blockers
  –    Review sprint and release boards across pods for ticket quality, acceptance criteria completeness, and QA coverage; lead conflict resolution and production issue investigations when they arise
  –    Use JIRA and Git data to identify patterns, flag systemic quality gaps, and drive structural improvements across pods
• People Management
  –    Manage workload, hiring, onboarding, and performance across a geographically distributed QA team including contractors sourced through external staffing vendors
  –    Support QA Leads and Senior QA Analysts in coaching and developing junior team members; set team priorities and provide clear direction during high-pressure periods
• Automation, Tooling & Continuous Improvement
  –    Oversee Automation QA Engineers across pods — reviewing coverage, removing blockers, and contributing to framework decisions (Playwright strongly preferred) and CI/CD integration
  –    Bring sufficient automation depth to evaluate the work of automation engineers, challenge coverage decisions, and contribute credibly to framework and tooling discussions
  –    Lead adoption of AI-assisted QA practices and own tooling evaluation, vendor assessment, and continuous improvement initiatives across the QA function
  –    Define what effective QA looks like when AI-generated content and non-deterministic outputs are part of what’s being tested
• Operational Availability
  –    Manage urgent and unplanned requests under pressure; this role requires flexibility to support occasional late-evening deployments as part of the platform’s release cadence