Demand Generation Manager
Toronto, ON · Hybrid
... machine. * People Management ... Performance manage and mentor a Marketing Analyst and marketing interns/co-ops. * Sales Enablement:
Demand Generation Manager
Toronto, ON · Hybrid
... machine. * People Management ... Performance manage and mentor a Marketing Analyst and marketing interns/co-ops. * Sales Enablement:
Internship Machine Learning information
What is the difference between Internship Machine Learning vs Data Science Intern?
| Aspect | Internship Machine Learning | Data Science Intern |
|---|---|---|
| Required Credentials | Basic programming, introductory ML knowledge | Statistics, programming, data analysis basics |
| Work Environment | Hands-on ML model development, coding | Data analysis, visualization, reporting |
| Industry Usage | Tech, AI companies, research labs | Business, finance, healthcare sectors |
Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.
What are the key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?
To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.
What are internship machine learning positions?
Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.
What types of projects can I expect to work on during a Machine Learning internship?
As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
What are the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Internship Machine Learning jobs in Toronto, ON? For Internship Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
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Full-time
Posted 6 days ago
Job description
COMPANY SUMMARY
Sapling Financial Consultants is a management consulting firm, founded in 2015. What started as an idea from a kitchen table has turned into a trusted advisor serving clients across North America. Headquartered in Toronto, Ontario, with a newly opened satellite offices in New York and Atlanta, Sapling is supported by a team of 30 professionals, delivering high-quality financial modelling, due diligence, interim FP&A and data analytics solutions tailored to mid-market companies, private equity firms, investment banks, search funds and independent sponsors, infrastructure and electricity developers, as well as entrepreneurs.
Our company operates on a hybrid model, with the entire team in-office (Yonge/Sheppard) Tuesdays and Wednesdays, and the balance of days at home. Our hybrid model reflects the independence that our team is entrusted with in completing their work.
More than half of Sapling's clients are based in the U.S., reflecting its expanding geographic footprint and growing reputation in management consulting. The firm continues to scale its capabilities, invest in new talent and maintain flexibility in response to shifting market conditions. During periods of economic uncertainty, Sapling has consistently demonstrated steady growth. The firm was recognized for its excellence, being awarded the Canadian SME National Business Award for Best Professional Service in 2023, receiving Ragan's 2025 Workplace Wellness Award in the category of Learning & Development - Wellness Initiatives, as well as being ranked among Canada's Top Growing Companies by The Globe and Mail's Report on Business Magazine for two years in a row.
Our guiding principle is We Live for A+. If you are someone who strives for excellence, not because you must, but because you take pride in doing great work and enjoy seeing how far you can go, then Sapling might be exactly where you belong.
POSITION SUMMARY, DUTIES AND QUALIFICATIONS
Position Summary
We are looking for an ambitious Demand Generation Manager who is seeks a launchpad for the next phase of their career. As Sapling grows from a boutique firm into a Canadian powerhouse, you have the opportunity to shape marketing and demand generation at our firm. Your mandate is to help the company achieve our vision of tripling business over the next three years - and - grow with it.
As one of the architects of growth, you will help build repeatable lead-generation systems that feed directly into our sales pipeline. You will manage a marketing analyst, guiding their technical skills to automate outreach, build conversion funnels and empower our sales to close more deals, faster.
We think big and act fast and that differentiates us from big firms. We bring best-in-class work and strong functional expertise to work every day; the ideal candidate can not only keep up but also win respect through their work ethic and attention to detail.
We're looking above all for someone with a longer-term outlook who wants to join like-minded people in building a wildly successful company founded on that principle of creating high-impact value for its clients.
Our company is on a hybrid model, with the entire team in-office (Yonge/Sheppard) Tuesdays and Wednesdays, and the balance of days at home. Our hybrid model is a reflection of the independence that our team is entrusted with in completing their work.
Responsibilities
- Account-Based Marketing: With the assistance of your team, scrape, qualify, and map target institutional profiles into Salesforce. Push content and support the building of strong relationships into key accounts.
- Pipeline Automation: Oversee the creation and optimization of highly targeted, low-volume outbound sequences using tools like Salesforce & Salesloft to orchestrate outreach campaigns.
- Funnel Management: Architect the digital landing pages, automated email sequences, and tracking infrastructure to grow our top of funnel leads, building an inbound machine.
- People Management: Performance manage and mentor a Marketing Analyst and marketing interns/co-ops.
- Sales Enablement: Arm our sales representatives with concise one-pagers and case studies that directly support the selling methodology.
- Online Brand: Manage our online and LinkedIn presence to promote our teams financial thought leadership and develop lead magnets.
- Performance Tracking: Collect and analyze result data, to measure Lead Generation Costs, Customer Acquisition Cost, Return on Ad Spend (ROAS), Lead-to-Meeting conversion rates, and pipeline velocity.
- Content Management Pipeline: Manage and support the creation of internal thought leadership that supports our current content strategy and use to move prospects through every stage of the pipeline
- Audience Management: Work with the sales team to execute a keep warm strategy for our lead and customer base so that when our services are needed, we are who they think of first.
Skills & Qualifications
- 3-5+ years inB2B performance marketing, demand generation or revenue operations, preferably targeting high-ticket services in finance targeting Private Equity or Investment Banking.
- Highly proficient in CRM (Salesforce), outbound automation (Salesloft/Outreach), and marketing automation platforms. Experience with Google Analytics, WordPress, ZoomInfo.
- Strong consideration for those that have worked in finance, mergers and acquisitions.
- Experience preferred for candidates who have managed customer acquisition costs, return on ad spend, lead to meeting conversions, and/or website lead conversions.
- Strong problem-solving skills, self-improvement, and intellectual curiosity to learn new industries, businesses, and technical systems.
- Excellent analytical judgement to gain valuable insights and assess the reasonability of pipeline metrics and campaign ROI.
- The ability to create, edit and assess compelling thought leadership content.
- Strong communication skills to understand and communicate business needs, gain buy-in and manage expectations.
- The desire and capability to dogreat work comes from within.A passion for solving complex problems,self-improvementandcuriositytolearn new industries,businesses,andtechnical skills.
- Track recordof managing multiple projects simultaneouslywhilemaintaininghigh standards, meeting deadlines, and accountability.
- Solutions-driven individual who brings creativity and grit to overcoming obstacles.
APPLICATION DETAILS
- Start Date:ASAP
- Location: Toronto
- Compensation: $80K-$100K base + bonus
- Application Materials:
- Resume
- Non-AI Cover Letter focusing on your career achievements and goals and how they apply or translate to this role.
- Answering a couple of questions on our online form.
We do not use AI to review your application. When it is reviewed, it is reviewed by a human being, likely a senior one, at Sapling. This reflects the care with which we do all our work. At Sapling, you are a person in whose growth we are deeply vested - you are not a number, and not data for a large language model
Sapling Financial Consultants is an equal opportunity employer.