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 team

AI team is a cross-functional product team, composed of backend, frontend, machine learning engineers with PM and a product designer. 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:

We’ve built the AI capabilities “from zero to one”. Now we’re in the phase, where they need to expand “from one to ten”. This means:

• Developing AI functionalities for thousands of different companies, each with different type and amount of data
• Expand ML research in new business use cases
• Improve the quality and accuracy of existing solutions
• Make AI capabilities more flexible for the enterprise customers
• Integrate and manage diverse LLM providers and open source models
• Make ML capabilities open to other product teams inside Productboard

We’re looking for experienced engineering minds with a focus on data science, 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 Airflow 2+ 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 REST API and Postgres, and recently we also started using Weights & Biases and Langsmith, among other technologies

About you

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

• Strong record of data science / ML projects in production
• Professional expertise in building Python applications
• Strong knowledge of Natural Language Processing
• Familiar with RAG systems - vector databases, rankers, complex evals
• Experience working with product managers as well as infrastructure, data and software engineers and the ability to work autonomously and drive tasks
• We heavily utilize OpenAI API, from text embeddings to GPT-4o

You will help us with:

• Researching, designing and building AI-powered product features
• 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
• Validating and improving existing ML solutions to increase user satisfaction and engagement with the product
• Collaborating with other engineers, helping to ML engineers to move the solutions to production

The team has recently worked on:

• Delivering LLM solutions to our customers - check out our launch video here
• Establishing a vector DB, dedicated to storing embeddings for our services
• Training NLP models, utilised by numerous customers, with daily retraining cycles
• You can check our recent AI releases at https://www.productboard.com/product/ai/

What We’ll Offer:

• Stock options
• MacBook + 34″ monitor
• Budget for online courses, books, and conferences
• 5 weeks of vacation + sick days
• 1 Volunteer Day per year for you to help causes close to your heart
• Carrot Fertility Benefits
• Free snacks, drinks, and yummy catered lunches
• MultiSport card to access sports facilities
• Flexible working hours and home office
• Parental benefits
• Language lessons
• Mental Wellness Program to support your well-being and self-care

About Productboard

Productboard is a customer-centric product management platform that helps organizations get the right products to market, faster. More than 5,400 companies, including Microsoft, Zoom, 1-800-Contacts, and UiPath, use Productboard to understand what users need, prioritize what to build next, and rally everyone around their roadmap.

With offices in San Francisco, Vancouver, Dublin, 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 and are regularly recognized for our company culture

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, success, and failures. 

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

Check out our LinkedIn Life page, Instagram profile, and People of Productboard FB 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. It is our 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 upon gender identity, race, color, religion, age, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or any other biascovered 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.

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