Senior Product Manager, CentML
+ Employee stock options
Machine learning training platform
Be an early applicant
Machine learning training platform
21-100 employees
Be an early applicant
+ Employee stock options
21-100 employees
Company mission
To pioneer novel technology to enhance computing efficiency, making AI accessible for innovation and to benefit the global community.
Role
Who you are
- 5+ years of experience in product management, preferably within the tech or ML/AI industry
- Proven track record of successfully bringing complex, enterprise products to market and driving growth
- Familiarity with enterprise-level requirements, including integrations, scalability, and security
- Excellent communication and presentation skills, with the ability to articulate complex ideas clearly and persuasively to stakeholders at all levels
- Ability to think strategically about product and business opportunities, with a focus on delivering value to users and achieving business outcomes
- Strong analytical skills, with experience in using data and metrics to drive decision-making and measure product success
What the job involves
- As a Senior Product Manager at CentML, you will be at the forefront of transforming how organizations develop and deploy machine learning models
- In this pivotal role, you will lead the strategy, development, and execution of cutting-edge products designed to optimize AI systems, making them more efficient, accessible, and cost-effective
- You’ll collaborate closely with a world-class team of engineers, researchers, and industry experts to bring innovative solutions to market, bridging the gap between technical innovation and customer value
- This role requires a strategic thinker with deep expertise in AI and ML systems, a passion for delivering enterprise-grade solutions, and a proven ability to drive impactful outcomes in a fast-paced environment
- Product Strategy & Vision: Develop and communicate a clear product vision and roadmap aligned with business goals and customer needs
- Market Research: Conduct competitive analysis, user research, and market trend assessments to identify opportunities and define product priorities
- Stakeholder Collaboration: Act as the bridge between engineering, sales, marketing, and customer success teams, ensuring alignment and successful product delivery
- Requirements Gathering: Define product requirements and user stories, collaborating with technical teams to ensure feasibility and scalability
- Product Development Oversight: Drive the product development process, ensuring on-time delivery, quality, and alignment with defined objectives
- Performance Metrics: Establish and monitor KPIs to assess product performance, iterating based on data-driven insights
- Customer Advocacy: Engage directly with customers and partners to gather feedback, refine features, and ensure products deliver value
- Go-to-Market Planning: Work with marketing and sales teams to develop effective launch strategies, positioning, and messaging
- Enterprise Product Packaging: Define and execute strategies for packaging AI optimization products tailored to enterprise clients, ensuring scalability, ease of adoption, and alignment with enterprise requirements
Our take
In an increasingly AI and ML-driven world, the demand for these technologies is skyrocketing, alongside their costs, leaving numerous companies without access to tools that could enhance their operations. CentML emerges as a solution, aiming to democratize AI and ML by making them more accessible and cost-effective for all.
Backed by a team with extensive expertise in AI, ML compilers, and ML hardware, CentML possesses a deep understanding of the inefficiencies prevalent in the industry. Among the challenges it addresses is the scarcity of AI chips. By meticulously analyzing clients' AI/ML requirements, CentML advises on suitable hardware options to optimize performance and minimize costs.
With its inception in 2022, CentML has swiftly garnered attention and funding, underscoring the market's appetite for its offerings. Recent funding will enable the company to further refine its product and conduct pivotal research in the field, solidifying its position as a pioneering force in democratizing AI and ML technologies.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Sep 2023
$26.4m
SEED
Jun 2022
$3.5m
SEED
Total funding: $29.9m
Company benefits
- An open and inclusive culture and work environment
- Fully stocked kitchen at the office
- Full health and dental benefits
- Parental Leave top-up for 6 months
- Continuous education budget
- Generous vacation - we're not saying unlimited, but if you need extra time to recharge, just ask
Company HQ
Yonge-Bay Corridor, Toronto, ON
Leadership
Gennady Pekhimenko
(Co-Founder & CEO)Also an Associate Professor at the University of Toronto, a Faculty Member at Vector Institute, and a Research Co-Chair at MLCommons.
Shang Wang
(Co-Founder & CTO)Graduate Student Researcher at Vector Institute. Previously a Senior Software Engineer at Nvidia.
Akbar Nurlybayev
(Co-Founder & COO)Prior work includes Director of Engineering (Data Platform) at KAR Global and Software Development Manager at TradeRev.
Anand Jayarajan
(Co-Founder)Previously a Research Fellow at the Indian Institute of Technology, and a Software Development Engineer at Flipkart.
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