We’ve designed a unique platform for entrepreneurs with a proven track record and domain expertise to start their next business by combining access to venture capital investment, hands-on support, and a vast network of partners. Since 2016, Diagram has raised over $430M and has launched/invested in 40+ companies. Our ecosystem is home to 200+ angel investors and an extended global network of corporate partners, investors, and builders. Diagram is part of Sagard, a global…
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We’ve designed a unique platform for entrepreneurs with a proven track record and domain expertise to start their next business by combining access to venture capital investment, hands-on support, and a vast network of partners.
Since 2016, Diagram has raised over $430M and has launched/invested in 40+ companies. Our ecosystem is home to 200+ angel investors and an extended global network of corporate partners, investors, and builders. Diagram is part of Sagard, a global multi-strategy alternative investment platform with over US$40B in AUM.
LinkedIn followers
18,334
People associated on LinkedIn
43
Reported office locations
1172 Sherbrooke Street W, Maison Atholstan, Montreal, Quebec H3A 1R6, CA
Candidates need experience owning technology end to end at an early-stage or scaling company, with deep background in data platforms, ETL and integration-heavy systems. They must stay hands-on, lead a team, make decisions under ambiguity, and apply modern AI techniques to infrastructure.
Payroll, Engineering processes, Data engineering, Oracle HRIS, Regulatory compliance, Lead a team
Expertise pratique en compréhension vidéo, modèles vision-langage et segmentation; Expérience de mise en production de produits IA pour clients entreprises; Expérience de direction d'équipes IA ou de vision par ordinateu
Expérience concrète de création de produits évolutifs à partir de zéro; Expérience à l'intersection du logiciel, du matériel et de la modélisation de données; Expérience de direction d'équipes technologiques en entrepris
Business model, EMS, Data modelling, Cybersecurity, Data engineering, Forecasting
Expérience en développement de produits ML et données de bout en bout; Expérience en données multimodales complexes et éparses; Expérience de recrutement et de direction d'équipes techniques
ML, Machine learning, Data engineering, Earth science, Remote sensing techniques, Research
Candidates need a track record of building early-stage ventures or leading 0-to-1 product launches, and CEO, GM or senior executive experience with P&L ownership. Experience in proptech, construction tech or enterprise software, B2B SaaS sales, and raising venture or strategic funding are also required.
Track record building early-stage ventures or 0-to-1 launches; P&L ownership as CEO, GM or senior executive; Enterprise sales of complex technical products
SCADA, Industrial software, Energy, Communication skills, Research
Candidates need a track record in building early-stage ventures or leading 0-to-1 product launches, plus experience in investment banking, capital markets or M&A. They should have led a business as CEO or senior executive with P&L ownership, and have a strong senior network in investment banking and experience raising venture or strategic funding.
Entrepreneur(e) chevronné(e) ayant bâti une entreprise de 0 à 1; Responsabilité d'un P&L démontrée; Expérience en recrutement et gestion d'équipes performantes
6+ YOECandidates need 6+ years in full stack, backend or platform engineering, a proven record of delivering production solutions independently, and experience with APIs, a modern front-end framework and cloud infrastructure. Strong software engineering practice and the ability to explain trade-offs to non-technical stakeholders are also required.
Candidates need a proven record of building a company, product or major business unit from 0 to 1 and of hiring, developing and managing high-performing teams. Experience as a seasoned entrepreneur is expected.
Candidates need proven experience building products from zero to one and leading technical teams. They also need experience deploying AI products at scale, strong communication skills, and awareness of security and technical risk. Finance or M&A experience and founder or early-hire experience are assets.
Candidates need a track record of building 0-to-1 products, leading engineering teams and shipping AI-enabled software to production. Experience with large language models, unstructured data, cloud-native enterprise SaaS and clear technical communication with customers and investors is required.
Regulatory compliance, Construction industry, Building codes
1+ YOECandidates need 1-3 years of experience in early-stage venture capital, tech startups, product management, tech consulting or venture studios, plus a technical or business degree. Strong communication, an entrepreneurial mindset and proven AI use are required. FinTech or InsureTech knowledge is a plus.