Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Head of Product Operations
New York, NY
Full Time / Hybrid
About Us
Canary Technologies is revolutionizing the hospitality industry with its modern software powered by a hospitality-specific AI platform. Trusted by over 20,000 hoteliers in 100+ countries, Canary empowers hoteliers to work smarter and delight their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western rely on Canary to deliver exceptional results.
Canary was recognized as a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company, and a HotelTechReport Best Place to Work. Backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital, and Insight Partners, Canary is at the forefront of innovation.
Join us in shaping the future of hospitality!
Responsibilities
Product Analytics - durable infrastructure
- Own our analytics stack (Omni, Amplitude, etc.) end to end: instrumentation standards, event taxonomy, metric definitions, dashboard hygiene, and the NPS/CSAT measurement architecture across each product.
- Ensure that any PM or executive can pull a trustworthy number without having to ask who to trust.
Product Lifecycle - recurring process
- Own the alpha → beta → GA process and the EPD ↔ GTM communication that runs on top of it - including the RACI for each phase, the handoff gates, and who tells GTM what and when.
- Manage the communication and process around changes to existing products.
- Own the voice-of-customer feedback loop between GTM, Support, and the product org, including strategic account calls that surface prioritization signals.
PM Onboarding - repeatable system
- Own new-PM onboarding as a designed program, not an ad-hoc handoff. It should be tied to the PM ladder and produce consistent ramp times regardless of who's running it.
Chief of Staff - leverage work
- Take on one-off high-leverage work (offsites, annual planning, cross-functional initiatives) as assigned. This is real work, but scoped case by case.
Requirements
- 7+ years in product operations, strategy & operations, analytics, or a related role - ideally at a B2B SaaS company that scaled through complexity.
- A builder of systems, not a manager of tasks. You've owned infrastructure that kept running after you moved on to the next thing.
- Strong SQL and hands-on experience with BI and analytics tools (Omni, Amplitude, Looker, or similar) - you can build dashboards and data models yourself, not just direct others to.
- Track record of owning KPI frameworks and instrumentation standards across multiple products and stakeholders.
- Sharp program manager who can run the alpha → beta → GA lifecycle process across a multi-product org without losing the details.
- Excellent communicator - you can translate messy operational realities into clear frameworks and get buy-in from engineers, PMs, and execs alike.
Nice to Have
- Experience in hospitality tech, enterprise SaaS with strategic accounts, or scaling product analytics at a growth-stage company.
We Offer
- Target cash compensation ranges from $200,000-$240,000, including a fixed annual salary and a performance-based bonus paid quarterly.
- Stock option grant, subject to board approval.
- Actual compensation will be commensurate with the candidate's skill level, experience, and specific work location.
Additional Benefits:
- Canary Days: Monthly company-wide days off to recharge.
- Self Improvement Club: Monthly meetings to share personal goals with a budget provided for goal-related purchases.
- Professional Development Chats: Budget provided to support cross-functional professional development conversations.
- Travel Reimbursement: Stipend for visiting Canary offices in New York, San Francisco, or Dallas.
- Personal Travel Reimbursement: Credit towards hotel stays with Canary-partnered hotels.
About the Company
Canary Technologies is an equal opportunity employer. We recruit, employ, train, compensate, and promote talent regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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