
Artificial Intelligence • SaaS • B2B
Revic is an AI-native sales acceleration engine that helps B2B revenue teams identify high-yield accounts, time outreach, and win deals faster. It combines public, private, and proprietary data with a network of specialized AI agents to build a dynamic, evolving Actual Customer Profile (ACP), score readiness signals, automate research and outreach, and surface prioritized accounts and personalized playbooks for reps. Revic integrates with CRMs and sales tools to create a Collective Sales Memory that continuously learns from wins and losses to improve targeting, forecasting, and execution across the entire GTM organization.
November 4
🇨🇦 Canada – Remote
💵 CAD100k - CAD125k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)

Artificial Intelligence • SaaS • B2B
Revic is an AI-native sales acceleration engine that helps B2B revenue teams identify high-yield accounts, time outreach, and win deals faster. It combines public, private, and proprietary data with a network of specialized AI agents to build a dynamic, evolving Actual Customer Profile (ACP), score readiness signals, automate research and outreach, and surface prioritized accounts and personalized playbooks for reps. Revic integrates with CRMs and sales tools to create a Collective Sales Memory that continuously learns from wins and losses to improve targeting, forecasting, and execution across the entire GTM organization.
• Deploy & Integrate: Work with all Revic customers to ensure successful implementation. Own the technical onboarding and deployment process for all customers — connecting CRMs, external data sources, and Revic’s AI platform to make the magic. • Collaborate & Ship: Work side-by-side with Product and Engineering to turn customer pain points into product improvements. • Automate & Scale: Build repeatable deployment and support frameworks that make onboarding the next 100 customers smoother and smarter. • Advise & Educate: Translate technical capabilities into value for GTM and customer success teams — and help customers get real ROI from AI. • Diagnose & Solve: Dive into real customer problems and invent AI Native solutions for them.
• 4–7 years of engineering or technical deployment experience — ideally with customer-facing work where success meant the system *worked in the wild*. • Strong SQL, solid Python, and a comfort with getting hands-on in the data. • You’re customer-obsessed. You love partnering directly with customers & users — listening deeply, iterating fast, and delivering real impact. • You live at the intersection of AI and systems. You’ve worked with (or are deeply curious about) AI agents, LLMs, or intelligent automation — and you know that real magic happens in production, not just prototypes. • You’re autonomous and scrappy. You don’t wait for permission — you spot problems, fix them, and improve what’s around you. • You learn faster than most. New tools, systems, or business domains don’t intimidate you — they energize you. • You bridge worlds. You communicate clearly with both technical and business audiences, keeping projects aligned and moving. • You thrive in ambiguity. Fast-moving, high-velocity environments bring out your best judgment and calm under pressure. • You balance urgency with craftsmanship. You know when to move fast — and when excellence really matters. • You care about impact. You’re motivated by seeing your work change customer outcomes in the real world. • You turn chaos into order. You’ve wrangled messy, real-world data (CRM, email, or public sources) into structured, useful systems.
• Premium health, dental, vision - we take care of our people • Meaningful equity (we're not another 0.001% shop) • Offsite - We trade slack for sunshine, every quarter we meet in-person • Learn faster than any course could ever teach you — from real data, real users, real stakes. • See your work shape how billion-dollar revenue teams operate. • Build across boundaries: part engineer, part product thinker, part problem solver, part customer advocate. • Grow at startup speed — the kind of trajectory you can’t find in big-company comfort zones. • Shape Revic’s customer success motion from day zero — and watch it scale with the company.
Apply NowNovember 4
DevOps Specialist managing and maintaining cloud infrastructure at Helm Operations. Collaborating closely with development and QA teams to enhance deployment and automation processes.
🇨🇦 Canada – Remote
💵 $95k - $120k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
AWS
Cloud
Docker
Grafana
Kubernetes
Prometheus
Python
Terraform
November 4
5001 - 10000
DevOps Specialist managing AWS infrastructure at Helm Operations, a leading maritime software provider. Focused on automation, resiliency, and system reliability in cloud environments.
🇨🇦 Canada – Remote
💵 $95k - $120k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
AWS
Cloud
Docker
Grafana
Kubernetes
Prometheus
Python
Terraform
October 29
Site Reliability Engineer at Fellow, optimizing infrastructure for AI Meeting Assistant. Collaborating with teams to ensure robust systems and exploring innovative technologies.
🇨🇦 Canada – Remote
💰 $24M Series A on 2021-10
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
AWS
Cloud
EC2
ElasticSearch
Grafana
Jenkins
Kubernetes
Prometheus
October 28
201 - 500
Site Reliability Engineer for Hopper's Platform Infrastructure team, enhancing cloud foundation and automating processes. Supporting developers in a remote-first environment with a focus on operational excellence.
🇨🇦 Canada – Remote
💵 $150k - $330k / year
💰 $96M Venture Round on 2022-11
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
Cloud
Distributed Systems
DNS
Google Cloud Platform
Kubernetes
NoSQL
Python
SQL
Terraform
October 22
Senior DevOps Engineer designing and automating AWS cloud infrastructure for Linea. Collaborating with top engineers in a remote environment.
🇨🇦 Canada – Remote
💵 $168k - $220k / year
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
AWS
Cloud
EC2
Grafana
Kubernetes
Node.js
Prometheus
Python
Terraform
Web3
Go