Experienced AI Engineer, Productboard
AI Team
+ Stock Options
More information about location
Product management platform
Open for applications
Product management platform
201-500 employees
Open for applications
+ Stock Options
More information about location
201-500 employees
Company mission
To help companies across the globe build truly excellent products.
Role
Who you are
- Professional expertise in building Python applications
- Proficiency in designing, executing, and maintaining ML systems and solutions in a production environment
- Familiarity with the management of performance and testing of ML systems
- Practical experience with message queue systems and a grasp of event-driven architecture
- A background in data science and LLMs would be highly advantageous
- We’re looking for experienced engineering minds, who are able to not only lead big technical projects, but act as knowledge multipliers inside and outside of the team
What the job involves
- Build AI-powered features that thousands of product teams rely on - from clustering insights to smart recommendations
- We’re looking for an experienced AI Engineer to join our cross-functional team and help shape the next generation of product management with LLMs, agentic workflows, and scalable infrastructure
- Building AI-powered product features
- Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies
- Discovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the execution
- Collaborating with other engineers, introducing fresh concepts and methodologies to the team
- You’ll work with the following frameworks, tools, and languages:
- We write our ML code in Python
- When it comes to scheduling ML pipelines, we rely on orchestration frameworks like Celery and Kubernetes
- Our real-time services run on AWS and Kubernetes, backed by Git, CI/CD, Docker, Helm, and Kafka
- For monitoring our services we use Datadog and Sentry, and for a business overview, we've got Looker in our toolkit
- Our tech toolbox also includes GraphQL and Postgres, among other technologies
- LangGraph for agent orchestration and workflow management, combined with LangSmith for observability, monitoring, and evaluation of AI agents
- AI team is a cross-functional product team, composed of backend, frontend, machine learning engineers with PMs and designers
- You might have already explored the AI capabilities within our product, and we aim to build more copilot features into Insights and other domains, enabling bulk-processing, pre-processing, smart suggestions and other functionality
- In the end, our customers would be presented with aggregated insights & clustered data, which is connected to the features & ideas they plan to build
- To create even more value for customers, we are on a mission to help product teams transform their product management practices, leveraging the power of AI to make impactful product decisions faster through a deeper understanding of different types of data within the Productboard platform (customer feedback, competitors, market intelligence, business strategy, etc.)
- We also aim to make product teams more effective on tactical and strategic tasks throughout the entire product management lifecycle with AI-powered workflows that augment existing core workflows within Productboard
- Introducing new capabilities into our solutions – a feature store, eliminating the need of manual processing of incoming Insights data, live predictions, co-usage of different vendor LLMs, etc
- Ensuring data flows from the frontend via GraphQL – asynchronous processing through Kafka in different services, and back to frontend – produce a seamless UX experience
- Ensuring our core services, which store data from different sources, are ready to scale and meet performance requirements
- Building a robust agentic infrastructure capable of supporting diverse AI-driven use cases, enabling scalable, autonomous decision-making workflows, and ensuring resilience across various customer scenarios
- Those who strive to build top-end services and are able to turn a good system design on paper into a well-tuned working solution
- Delivering LLM solutions to our customers
- Establishing a Feature store dedicated to storing embeddings for our services
- Training NLP models, utilized by numerous customers, with daily retraining cycles
Salary benchmarks
Our take
Productboard is a product management system which plays a major role in helping businesses understand their market, letting them get the best products to market quickly. The platform is particularly focused on helping companies understand what customers require from them, enabling sound decisions to be made on what to prioritize.
The platform organizes project management with customer feedback as its primary guiding factor, helping businesses identify the most important trends based on demand. The scope of its offerings enables it to provide thousands of leading companies with the various tools they need to drive growth. It continues to add new capabilities to bring extra value to this customer base.
Steph
Company Specialist at Welcome to the Jungle
Insights
-19% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Feb 2022
$125m
SERIES D
Apr 2021
$72m
SERIES C
Total funding: $257.7m
Company benefits
- Competitive stock options
- Continuous professional growth
- Investment into your health & wellness
- Free food and catered lunches
- Pet-friendly offices
Company HQ
Union Square, San Francisco, CA
Leadership
Hubert Palan
(Co-Founder & CEO)Startup Mentor, Advisor and Angel Investor. Previously VP of Product Management at GoodData and Head of Product and Marketing at Maestro Market.
Daniel Hejl
(Co-Founder & CTO)Previously Senior Software Engineer at Trumaker, TopMonks and ICZ, as well as Software Engineer at Allianz Direct New Europe and Qbizm Technologies.
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