Easy scheduling & communication for restaurants. Save 5 hours/week & trim labor costs by 3%. Trusted by 800,000+ pros.
Senior Product Manager – Training
Location
Canada
Posted
25 days ago
Salary
$124K - $160K / year
Seniority
Senior
Job Description
Senior Product Manager – Training
7shifts: Team Management for Restaurants
• Own the vision and roadmap for Employee Training product • Integrate AI capabilities into product • Accelerate team's discovery and delivery cycles with AI • Define clear, prioritized work from ambiguous problems • Collaborate across Engineering, Design, Data, and Marketing
Job Requirements
- Experience in B2B SaaS with a focus on operators
- Proven track record of taking products from zero to initial customers
- End-to-end ownership of a roadmap
- Define success metrics and validate hypotheses before building
- Strong ability to convert complex problems into scalable solutions
- Daily use of AI tools to improve work processes
- Experience making tradeoffs with technical constraints and user needs
Benefits
- Health and dental
- Lifestyle spending accounts
- Parental leave program
- Flexible vacation policy
- Professional growth opportunities
- Tools for success including Apple tech and home office setup
Related Guides
Related Categories
Related Job Pages
More Product Manager Jobs
Role Description This is a broad Senior PM role on the quality, trust, and communication side of service delivery — setting the right expectations on both sides, steering Pros to deliver great work, resolving conflicting interests fairly, and making our AI-powered support genuinely good. You'll work on live, high-scale systems with a mandate to make them better. Service delivery is a big area with more than one PM in it. You'll work alongside them; your center of gravity is the trust between both sides of the marketplace. What makes this role different: - It's a real area of impact, not a single feature. You'll shape strategy, policy, and the systems behind a whole slice of the post-booking experience — not optimize one screen. - It's inherently two-sided. You work for customers and Pros at once, and you're often the one arbitrating between them. Pleasing one side at the other's expense is failure. - AI is a core tool, not a side project. Support and outreach already run on AI. You'll push how far that goes — and build the evals that prove it's good before we trust it with more. Problems to Solve: - Getting expectations right before the work ever starts. Most service failures aren't bad work — they're mismatched expectations. - Arbitrating genuinely competing interests. A customer wants a date the Pro can't commit to. The grass is long enough to need a different price tier than booked. - Making AI trustworthy enough to do more — which means evals. You'll own the eval systems that define what "good" means for an open-ended conversation. - Messaging that connects both sides — and quietly protects the marketplace. What Success Looks Like (Year 1): - Expectations match on both sides: Pros know exactly what each job requires, customers get what they expected. - Competing interests resolve faster and more fairly: A clearer resolution model with measurable consistency. - AI is provably good, and does more: An eval suite gates AI changes so no quality regression ships unseen. - Messaging connects and protects: Measurable improvement in messaging reliability and engagement. Qualifications - AI-native: You use AI daily in your own work and have real intuition for how to measure whether an AI experience is actually good. - Comfortable making two-sided calls: You can hold both the customer's and the Pro's interest in your head at once. - You design for the right outcome up front: You're not satisfied grading work after the fact. - A marketplace systems thinker: You see service delivery as a system of incentives, policies, and feedback loops. - Data-informed: You live in the numbers that matter here — CSAT, resolution rate, eval scores, churn, deflection. - Technically fluent: You partner with engineers on how AI and messaging systems work. Requirements - This Role Is NOT a support PM role. - The internal-AI role. - A greenfield 0→1 role. - A single-audience role. Benefits - Base salary: $140,000 - $170,000 - Equity: The systems you'll work on touch every customer and Pro. - Healthcare: Medical, dental, and vision. - Fully remote: Work from anywhere in the US. - Flexible PTO: We Focus On Results.
Creative Strategy AI-Tools Product Manager
TubeScienceThe leader in pay-for-performance video advertising
Role Description We’re building AI that makes great advertisers even better. You’ll build the tools that make it happen. Our Creative Strategy team is in the middle of building an AI-powered infrastructure that changes how strategists work — from how they plan campaigns to how they write briefs to how they evaluate creative. We need someone to build it. What you’ll actually be doing: - Building and shipping AI tools — roadmap generators, brief scorers, hook writers, sprint planners, competitive intelligence tools. Real tools, used daily, with real usage metrics. - Owning the data pipeline — turning raw performance data, consumer reviews, and competitive intel into structured inputs that feed every downstream tool. Python scripts, API integrations, SQL queries — you’ll write and maintain all of it. - Managing the AI architecture — client-specific Claude Projects, skill files, knowledge bases. Every account should eventually have custom AI context that makes strategy work faster. - Driving adoption — a tool nobody uses is a tool that doesn’t exist. You’ll train the team, gather structured feedback, track usage, and iterate until it sticks. Qualifications - You’re a strong Python developer comfortable writing production scripts, not just prototypes. - You’ve worked with APIs (REST, JSON) and can integrate LLM APIs without hand-holding — experience with OpenAI or Anthropic is a plus. - You’re comfortable with SQL at a working level — pulling data, writing joins, debugging pipeline issues. - You can get something deployed (Vercel, Railway, or equivalent) independently. - You learn fast in new domains — you don’t need to know advertising coming in, but you need to pick it up quickly. - You ship things. You document things. You own things. Requirements - You’re not a fit if you want to experiment and prototype indefinitely without shipping. - You expect a ticket queue and explicit instructions for everything. - You’re looking for a pure engineering role with no business context. Benefits - Base: $65,000–$85,000 depending on experience. - Tool impact bonus for each qualifying tool with 5+ sustained weekly active users. - Additional bonus at 10+ weekly active users. - Targets: 2 qualifying tools in your first 6 months, 5+ by end of year one. The honest pitch This role has a steep learning curve. You’ll be picking up prompt engineering, advertising strategy vocabulary, and a proprietary methodology while simultaneously building and shipping tools the team uses every day. It’s not for everyone. But if you want to build AI infrastructure that has measurable impact on a real business — and you want to learn direct-response advertising from the inside while doing it — this is a rare opportunity to do both at once.
• Develop and maintain the product roadmap for radiation oncology medical physics solutions, aligning with clinical and market needs. • Gather and prioritize customer requirements by working closely with medical physicists, clinicians, and key opinion leaders. • Collaborate with engineering and clinical teams to translate clinical workflows and technical specifications into product features and enhancements. • Support go-to-market strategies including product launches, training, and customer education initiatives. • Monitor market trends, competitor products, and regulatory requirements impacting radiation oncology medical physics tools. • Partner with marketing and sales teams to develop product positioning, messaging, and sales enablement materials. • Drive lifecycle management including feature updates, product improvements, and end-of-life planning. • Ensure compliance with relevant medical device regulations and quality standards throughout the product development process.
Senior Group Product Manager, Dropbox Sign
DropboxDropbox is the one place to keep life organized and keep work moving.
• Lead, mentor, and develop a team of Product Managers, helping them grow in product craft, strategic thinking, execution, and cross-functional leadership. • Define and evangelize the long-term product vision, strategy, and roadmap for Dropbox Sign. Balance investments across platform scalability, workflow automation, customer experience improvements, and new growth opportunities. • Build a strong product culture grounded in customer empathy, data-informed decision making, accountability, and collaboration. • Partner closely with Engineering, Design, Legal, Security, and cross-functional leaders to drive alignment, prioritize investments, and ensure high-quality execution across multiple product initiatives. • Become an expert in our customers by leveraging research, analytics, market insights, and direct feedback to deeply understand the needs of businesses and individuals managing critical agreement workflows. • Drive complex, multi-quarter initiatives across teams and functions, from strategy and planning through execution, launch, and iteration. • Drive business impact by identifying key opportunities, defining success metrics, evaluating tradeoffs, and ensuring teams deliver measurable outcomes aligned to company goals. • Establish operational rigor across the product organization, including roadmap planning, stakeholder communication, prioritization frameworks, and team processes. • Communicate clearly and effectively with executives and cross-functional stakeholders, articulating strategy, tradeoffs, risks, and business impact.




