Full Stack Product Engineer, Ideogram
+ Equity
Generative media tools
Be an early applicant
Generative media tools
21-100 employees
Be an early applicant
+ Equity
21-100 employees
Company mission
To make professional-quality design accessible to everyone.
Role
Who you are
- We're looking for someone who combines product instinct with strong ownership, user empathy, and the ability to move fast in an evolving AI landscape
- Product & AI Mindset
- Deep curiosity about generative AI and genuine excitement about its potential to empower creators
- Strong product intuition; you think about user problems first, then architect solutions
- Experience building features where AI is core to the user experience (not just a backend detail)
- Ability to navigate ambiguity and turn open-ended problems into shipped features
- AI-Native Full Stack Execution
- Experience building and shipping full stack applications with real user impact
- Comfortable working across frontend and backend systems
- Familiarity with cloud infrastructure and modern web technologies
- Can design APIs and data models that support evolving product needs
- Use AI-native engineering tools (e.g., Claude Code, Codex, or similar) to meaningfully accelerate development velocity, debugging, and codebase comprehension
- Ownership & Execution
- Self-starter who takes initiative to identify opportunities and drive them to completion
- Operates with urgency. You ship incremental value and iterate based on real user feedback
- Comfortable working with minimal direction in a fast-moving environment
- Takes responsibility for outcomes, not just code—you care about whether users love what you build
- Collaboration & Communication
- Can explain technical concepts to both engineers and non-technical stakeholders
- Seeks feedback, acknowledges mistakes, and learns quickly
- Pushes for quality through constructive code review and collaboration
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent practical experience
Desirable
- We primarily use React and Python. Familiarity with the following technologies is a plus, but not required:
- OpenAPI & gRPC
- Kubernetes
- Redis & Memcached
- GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub
- Docker & Terraform
- Cloudflare
- Experience integrating ML models into production applications (inference, prompt engineering, fine-tuning workflows)
- Track record of shipping consumer-facing AI products or features
- Contributions to design systems, component libraries, or developer tooling
- Experience with experimentation frameworks and feature flagging
- Familiarity with real-time systems or high-throughput applications
What the job involves
- As a Full-Stack Product Engineer at Ideogram, you'll build the products that put generative AI directly into the hands of creators
- You'll work across the entire stack, from crafting delightful user experiences to optimizing backend systems that serve millions, with a relentless focus on shipping features that users love
Our take
With text-to-image software well and truly in the public conscience, Ideogram has launched a platform to support creativity, while capitalising on the popularity of AI image creation services.
Its generative AI platform requires a prompt and rendering style (think anime, fantasy, or cinematic) from which it creates a high quality image for the user. As with other platforms of its type, the images tend to be slightly flawed but interesting, and it appears that almost anything can be created.
Of course, there is a downside to launching into a market that is under such a strong spotlight, especially as many artists raise concerns over their work being used to train image creation AI without their consent. For its part, Ideogram claims to operate with a "high standard for trust and safety", utilizing a $22.3M CAD funding round to grow its team and footprint.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Feb 2024
$80m
SERIES A
Aug 2023
$16.5m
SEED
Total funding: $96.5m
Company HQ
Financial District, Toronto, ON
Leadership
Mohammad Norouzi
(Co-Founder & CEO)Previously Senior Staff Research Scientist at Google for 7 years.
William Chan
(Co-Founder & CTO)Spent 7 years at Google, ultimately as a Google Brain Staff Research Scientist.
Chitwan Saharia
(Co-Founder)Spent 3 years at Google, ultimately as a Senior Research Scientist. Prior to this, was a Research Assistant at the Montreal Institute for Learning Algorithms.
Jonathan Ho
(Co-Founder)Previously a Research Scientist for Google and for OpenAI.
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