Improvado Logo

Improvado

AI Principal Engineer

Posted 15 Days Ago
Remote
8 Locations
Senior level
Remote
8 Locations
Senior level
The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.
The summary above was generated by AI

Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.

As a rapidly scaling Series A startup that raised $34 million in funding, we're proud to partner with globally recognized brands such as ASUS, Docker, Activision, H&R Block, and many others. Our diverse team of curious, open, and hard-working individuals is committed to cultivating a fast-paced, agile culture that values personal and professional growth.

About the Role
We're looking for a hands-on AI Principle Engineer to help us build the future of AI at Improvado. It’s a unique opportunity for someone excited to define the product vision based on real user needs and directly build the systems that power it.
You’ll work closely with our CEO (who’s also our Chief Product Officer with a strong technical background) to drive the direction of our AI features. From high-level strategy to low-level implementation, you’ll bridge product thinking and deep engineering. You'll also help guide a small, talented team of AI engineers — mentoring, setting direction, and writing production code alongside them.

What You’ll Do

  • Co-own the AI product and technical roadmap with our CEO
  • Serve as the link between engineering and the business: ensure the team understands not just what to build, but why it matters
  • Design and implement key AI-powered features from the ground up
  • Drive technical architecture decisions and ensure high code quality and reliability
  • Write scalable, production-ready code and build intelligent agents using modern LLM frameworks
  • Define and track success metrics — from model performance to user satisfaction and adoption

What We’re Looking For

  • A catalyst for action with a relentless drive for execution. We need a doer who thrives on speed and velocity, takes absolute ownership of outcomes, and is energized by a fast-paced environment
  • Strong product instincts and user empathy — you think beyond models and love solving real problems
  • Able to clearly communicate business context and product priorities to engineers — helping them build the right things, not just functional code
  • Deep experience building AI/ML systems, ideally with LLMs in production
  • Familiarity with the modern AI/LLM ecosystem
  • Hands-on knowledge of prompt engineering, vector databases, orchestration tools, and model evaluation pipelines
  • Clear communicator, comfortable leading discussions and making decisions
  • Previous startup or fast-paced environment experience is a plus

What It’s Like to Work Here

At Improvado, we’re a collaborative and ambitious team that moves fast and learns even faster. We believe in:

  • Velocity and speed of delivery
  • Clear ownership and high trust
  • Working on problems that matter
  • Staying flexible while delivering high-quality work
  • Building great things together, not in silos
  • We work across multiple time zones, with most collaboration centered around U.S. hours. We’re remote-first but value real-time collaboration and proactive communication.

What We Offer

  • Remote-first environment
  • Competitive compensation
  • Paid PTO and holidays
  • Professional development reimbursement
  • Stock options

Top Skills

AI
Llm Frameworks
Model Evaluation Pipelines
Orchestration Tools
Prompt Engineering
Vector Databases

Similar Jobs

10 Hours Ago
Remote or Hybrid
Santiago, Región Metropolitana de Santiago, CHL
Senior level
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The role involves managing and growing enterprise accounts, executing business strategies, engaging with C-level executives, and driving sales initiatives to maximize revenue.
Top Skills: ApmMeddpicSales EngineeringSoftware
Yesterday
Remote
14 Locations
Expert/Leader
Expert/Leader
Artificial Intelligence • Digital Media • Social Media
Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.
Top Skills: Ai Content ToolsNotionShort-Form Video Editing Tools
Yesterday
Easy Apply
Remote or Hybrid
12 Locations
Easy Apply
Senior level
Senior level
Marketing Tech • Real Estate • Software • PropTech • SEO
Lead the design and evolution of automated testing strategies, integrating AI into testing methodologies, and mentoring SDETs and QA engineers.
Top Skills: ApolloAWSCircleCIDynamoDBGithub ActionsGraphQLJavaScriptJenkinsKubernetesLambdaNode.jsPlaywrightPostgresReactRedisTypescript

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account