AI Ops Engineer (Senior Python Engineer)
Help us get the right products to market, faster.
About us
Focus: B2B SaaS - Customer-centric product management platform
What do we do? We help product managers understand what customers need, prioritize what to build next, and rally everyone around the roadmap.
Location for this role: Prague, Brno
Additional locations: London, San Francisco
Work policy: Hybrid - 3 days a week onsite at our office
Total Employees: 300+
Customers: 6,000+
Founded: 2014
Website: productboard.com
About Productboard
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 Artificial Inteligence Engineer to become a member of our cross-functional team. Your role will span across the entire AI feature development lifecycle.
You don’t need prior AI experience - just strong Python skills, ideally some cloud/devOps background, and a genuine interest in the AI space.
This role is based in our Prague office with an office-centric hybrid schedule.
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
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
About You
We are currently seeking an individual who possesses the following skills and qualities:
- Professional expertise in building Python applications
- Brings a mindset that blends hands-on engineering with architectural thinking - able to simplify complexity by removing rather than adding, inspired by the philosophy of simple Unix tools that do one thing well and compose elegantly together.
- Is highly curious about the AI space - not necessarily an AI Ops expert, but someone who actively follows trends and developments like a deeply engaged developer would
- Gets a strong sense of job satisfaction from follow-through and completeness, not just the excitement of getting things off the ground.
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/
You can look forward to the following benefits:
💰 Competitive compensation package, including equity
🍲 Free snacks, drinks, and yummy catered lunches every day
💻 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
🏋 MultiSport card to access sports facilities
🍹 Team events, such as happy hours, off-sites, and retreats
🍀 Mental Wellness Program to support your well-being and self-care
⏱ Flexible working hours and home office
🧒🏻 Parental benefits
🎓 Language lessons
Our story
Productboard was founded in 2014 by Hubert Palan and Daniel Hejl with a simple mission: to help companies make products that matter. In the years since, we’ve grown from a handful of people to hundreds, backed by some of the biggest VC firms in Silicon Valley.
Today, Productboard is recognized as one of the hottest tech startups, appearing on the Forbes’ Next Billion-Dollar Startups list and being named the most valuable startup in the Czech Republic by Forbes Magazine.
Product Vision
In a world where building gets easier, product strategy becomes everything. The companies that win will be those that can move fastest from customer insight to validated solution designs and bulletproof specifications. This is the future we're building toward—where product management becomes the ultimate differentiator in an AI-accelerated world.
Our vision is to become the leading and only fully Intelligent Product Platform purposefully built for the needs of modern, collaborative, and customer-centric Product organizations. Unlike tools designed for projects or engineering, we focus on the entire product development lifecycle. Anyone who will have a product question will find an answer in Productboard, and anyone who will have any product input will find a welcoming destination as well.
Market Opportunity
Product management is a key function for digital-first companies like Salesforce, Uber, or Amazon, and increasingly vital for traditional industries like banking or retail, where digital experiences drive business success. Yet product managers still lack a dedicated system built for their needs. They’ve been forced to use tools like Asana, Jira, spreadsheets, or Notion—none designed to combine customer insights, market context, product data, and strategy.
Now, with AI unlocking the ability to turn rich product data into intelligent, actionable support, and as the cost of code delivery drops, knowing what to build becomes the biggest differentiator. There’s a massive, unsolved opportunity to build the first intelligent, AI-native Product Platform that every modern product manager needs.
Core Productoard use cases
Strategic
Product Planning
Define specific measurable outcomes and track progress toward achieving them.
Customer
Insights
Capture all sources of customer feedback in one place automatically.
Product Roadmapping
Equip customer-facing teams with the dynamic roadmaps they need.
Cross-Team Collaboration
Collaborate across departments, product lines, and business units and align with GTM.
Product Operations
Standardize your product processes with best practices.
Customer Engagement
Validate product ideas and plans
Share Customer context
Get answers conversationally with custom AI prompts
AI Customer feedback trends
Identify customer feedback trends with interactive analytics
Watch our Productboard pitch in front of 40k attendees of the Web Summit:
Executive team
Hubert Palan, Founder & CEO
Hubert is the founder and CEO of Productboard. Driven by a passion for building truly excellent products, he started the company back in 2015 when he saw a hole in the market for a dedicated product management platform. Prior to Productboard, Hubert was VP of Product Management at GoodData. Passionate about sharing his knowledge and experience, Hubert mentors and advises startups and judges teams at entrepreneurship competitions. He frequently speaks at his two alma maters – the University of California, Berkeley, where he got his MBA and certificate in Entrepreneurship, and the Czech Technical University, where he received an MSc. in Computer Science. In a past life, Hubert worked in management consulting. Fun fact: he once trained 20 national park managers in Vietnam on ecotourism marketing. Originally from the Czech Republic, Hubert now lives in the San Francisco Bay area with his wife, Jenna, and their two young sons, Hubert V and Nicholas.
Cris Domingo, VP of People, Culture, and Talent
Cris is an experienced world-class leader. Cris graduated with a degree in Marketing and Economics from Karachi University. She brings over a decade of HR and Talent Acquisition leadership experience from previous roles at Sumo Logic, Platfora, Monster Inc., and Yoh.
While at Sumo Logic, Cris successfully scaled the company from ~200 to over 950 employees globally across North America, APAC, and EMEA regions, leading Talent Acquisition from pre-IPO to a successful IPO in September 2020.
Vinay Ramasundaram, VP of Engineering
Vinay brings a wealth of experience from SurveyMonkey, Microsoft, and DocuSign — companies known for delivering excellent products at enterprise scale.
He leads our engineering teams as we double down on innovation for customers. With his deep expertise in platform architecture, scalable systems, and achieving enterprise scale, Vinay will spearhead our ambitious product roadmap, including exciting new AI features designed to help enterprise product leaders bring the right products to market faster.
Sebastien Giroux, CFO
Sebastien Giroux is a seasoned finance executive with experience in a wide range of environments, including start-ups and Fortune 500s, M&A integrations, IPOs, and turnarounds. He has experience in building financial foundations, teams, and processes for high-growth companies in the technology industry. He has a proven record of creating and executing a strategic vision that unifies Finance efforts with GTM, Operations, Product, and other areas to drive business success. Giroux was most recently Chief Financial Officer at Collibra and previously held strategic financial management positions at Atlassian, RingCentral, and IBM.
Brian Lederman, CRO
With over a decade at Salesforce, Brian played a key role in scaling one of SaaS’s most successful GTM engines. Most recently, he built Coda’s GTM from the ground up, landing enterprise giants and helping drive their successful acquisition by Grammarly. Now, he’s bringing his expertise to propel Productboard’s next phase of growth.
Wyatt Tucker, VP of Marketing
Wyatt Tucker is our VP of Marketing at Productboard. Prior to this, Wyatt held positions such as Head of Marketing Operations and Strategy at Miro, Director of Growth Operations at Mixpanel, and Head of Marketing Operations at various companies. Wyatt has a Bachelor's degree in Graphic Communication from California Polytechnic State University.
Backed by top VC firms
In February 2022, we closed our $125M Series-D round, backed by VC giants like Dragoneer Investment Group, Tiger Global Management, Index Ventures, Kleiner Perkins, Sequoia Capital, and Bessemer Venture Partners.
Investors & Board Directors, and observers:
- Ilya Fushman, Partner at Kleiner Perkins
- Jan Hammer, Partner at Index Ventures
- Andrew Reed, Partner at Sequoia Capital
- Byron Deeter, Partner at Bessemer Ventures
- Nina Achadjian, Partner Index Ventures
Daniel Hejl, Co-founder at Productboard
Strategic Angel Investors:
- Eoghan McCabe, CEO and Co-Founder of Intercom
- Des Traynor, Chief Strategy Officer and Co-Founder of Intercom
- Clark Valberg, CEO at InvisionApp
- Larry Gadea, CEO and Founder of Envoy
- Michael Stoppleman, SVP Engineering at Yelp
- David Sacks, Craft Ventures, Paypal COO, Founder & CEO, Yammer
Our customers
6000+ customers love Productboard. Read their success stories here:
Our differentiation
Our current core value proposition outlines that we offer the only customer-centric, collaborative, end-to-end Product Management platform that helps modern product teams get the right products to market faster.
Customer-centricity
Unlike feature-focused tools (e.g. Aha), we lead with a customer-centric approach, putting user needs and pain points at the center to increase the chances of building the right product.
Collaborative
Unlike other systems designed primarily for the needs of specialized individual roles or for just a portion of the product development lifecycle, Productboard enables collaboration across the entire lifecycle—within R&D teams, between R&D and GTM, and even between the business and its customers.
End-to-end Platform
Unlike some of the utilities that focus just on a small part of the product management process, we deliver a comprehensive and modular platform for Product Management that supports the whole product management workflow with APIs that make it easy to integrate PB into existing workflows, integrate with existing systems, and easily get data in and out.
Agentic Intelligence
We leverage the latest generative and agentic AI to deliver a fully intelligent experience. Our unique data set consisting of Customer, Competitive, Market, Product, and Strategic and Roadmap data gives our AI capabilities unique context for highly differentiated set of capabilities and unprecedented relevancy. Our future AI agents will deliver a whole set of automated tasks supercharging our users.
Standardized approach to Product Management
Unlike anyone else, we pioneer a standardized approach to Product Management based on a collection of best practices adopted by the industry's best product organizations - the Product Excellence Framework.
Engineering Leadership Podcast
People of Productboard Podcast
