Staff Machine Learning Engineer, Productboard
AI Team
+ Stock options
Product management platform
Be an early applicant
Product management platform
201-500 employees
Be an early applicant
+ Stock options
201-500 employees
Company mission
To help companies across the globe build truly excellent products.
Role
Who you are
- Strong record of data science / ML projects in production
- Professional expertise in building Python applications and in designing, executing, and maintaining ML systems in a production environment
- Experience working with product managers as well as infrastructure, data and software engineers and the ability to work autonomously and drive tasks
- A background in LLMs would be highly advantageous (utilizing OpenAI API, from text embeddings to GPT-4o)
What the job involves
- 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
- 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
- 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
- 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
- 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
- Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies
- Collaborating with other engineers, introducing fresh concepts and methodologies to the team
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 values
- We Seek Clarity - Just like the best product teams, we seek to clarify the objectives behind our work. Life is too short to work on things that don’t matter
- We Relentlessly Improve - We all share a drive to be the best at what we do. We learn from the best to hone our crafts and draw inspiration from unlikely places
- We Act With Empathy - Like the best product makers, we have deep empathy for our end users, as well as prospects, colleagues, and job candidates
- We Foster Transparency - We champion openness by sharing our goals, success, and failures. Everyone has timely access to important company news and business metrics
- We Work Together - We work as one big team on a common mission, leveraging the diverse perspectives and expertise of our colleagues, wherever in the world each of us may be
Company HQ
Union Square, San Francisco, CA
Articles
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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