Location: Dublin

When we started in 2014, our focus was on product managers in smaller teams who lacked a great product management tool. Today, we are the leading product management platform, and as we continue to grow, we are now helping more and more enterprise companies with thousands of employees to build products that matter.

We believe Productboard's greatest differentiator is enabling our customers to collect, understand, and act upon data from the market and empower them to organize them into Insights, understand their customers, and align their company around the most impactful opportunities.

We are in search of an experienced Machine Learning Engineer to become a member of our cross-functional team. Your role will span across the entire AI feature development lifecycle.

About the AI team

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.

Where are we heading?

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.

Our core challenges:

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

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. 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.

Our tech stack

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

About you

We are currently seeking an individual who possesses the following skills and qualities:

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

You will help us with:

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

The team has recently worked on:

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
You can check our recent AI releases at https://www.productboard.com/product/ai/

About Productboard

Productboard is the customer-centric product management platform that helps organizations get the right products to market, faster. Over 5,500 companies, including Zoom, One Medical, Cartier, Microsoft, and Korn Ferry, use Productboard to understand what customers need, prioritize what to build next, and rally everyone around their roadmap.

With offices in San Francisco, Brno, and Prague, Productboard is backed by leading investors like Tiger Global Management, Dragoneer Investment Group, Index Ventures, Kleiner Perkins, Sequoia Capital, Bessemer Venture Partners, and Credo Ventures.

In January 2022, we closed our $125M Series D round, which put us into the Unicorn category of companies, with a valuation of $1.7B.

Join at the golden startup age — established stability of a Unicorn with space for individual impact.
You’ll enjoy an exciting team atmosphere, building a whole new category of software.
You can help change the way that products are built all over the world.
We iterate quickly, and decisions are fast. You’ll have a voice in what we do and see the impact of your work.
We are backed by top Silicon Valley investors, giving us access to capital, networks, mentors, and new markets.
We are recognized as one of the hottest tech startups on the market today, named by Forbes magazine and Business Insider as one of the best startup employers to bet your career on.

About our culture

Imagine working in a place where everything matters — most importantly, you. At Productboard, values aren’t just something we like to talk about, they’re something we live and breathe. We believe in creating a work environment where:

People feel empowered, supported, and included
Trust and transparency are built into the way we work
Creativity, curiosity, and continuous improvement are encouraged and nurtured every day

Forming our company values was a group effort, with every employee allowed to contribute. From profit-sharing initiatives, like stock options, to open calendars and communication, we don’t waste time on politics or ego. We champion openness by sharing our goals, successes, and failures.

Join colleagues who are passionate about what they do. Team members who are invested in their work environment, and the future of Productboard. Help shape our company, culture, and product!

Check out our LinkedIn Life page, or listen to our People of Productboard podcast for a real feel of what life is like at Productboard.

Equal Opportunity Employer Statement

We are an equal opportunity employer and champion equity. We aim to help people from all backgrounds, cultures, and groups realize their full potential at Productboard. We do not tolerate any discrimination or harassment based on gender identity, race, color, religion, age, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or any other bias covered by appropriate law. All aspects of employment, including hiring, training, promotion, and terminations, are based on merit, competence, performance, and business needs. We are committed to an inclusive hiring process and provide all candidates with equal opportunity to demonstrate their abilities. Togetherness is one of our core values, and our Diversity Council helps to ensure that we uphold the values of authenticity, humanity, and diversity to create an environment where every person matters. We are committed to leading by example to drive societal change.

Staff ML Engineer in AI Team

Job Description