We are looking to hire a Product Manager to join our Product Organization. Join us and help develop new capabilities that address the needs of our customers, empowering them to drive meaningful change in their organizations.

You will report to our Group Product Manager, Product Management and will work remotely from Bulgaria, collaborating with passionate teams across the globe to define the future of work collaboration.

You Will:

• Define a vision and strategy informed by company objectives, a deep understanding of customer needs, and industry best practices
• Partner with and influence technical and product leaders across Smartsheet to align strategy and platform investments
• Regularly present strategy, product concepts and roadmap to educate, influence and align with senior leadership
• Partner closely with research, design and engineering to create compelling, high-quality customer experiences
• Use internal and external data to guide experimentation, decisions, opportunities and evaluation of success
• Partner with research, product design, data science and analytics teams to run quantitative experiments and analysis to test hypotheses and iteratively develop product capabilities that our customers love
• Communicate strategy, product health, capabilities, experimentation status, and insights to a wide audience
• Write succinct and compelling product  strategy, execution and requirements documents
• Successful candidates will operate at both the strategic and tactical levels and form strong cross-team partnerships that ensure combined success for the product area
• Support other duties as needed

You Have:

• 2+ years of product management experience
• Experience partnering closely with engineering, design, user research and marketing teams. Successfully delivered a delightful user experience with high-scale platforms
• Passion to make customers and colleagues successful and pride in creating delightful customer experiences with high-scale platforms
• Data-driven mentality with a focus on metrics, analytics and experimentation
• Experience with agile development processes and frequent product releases
• Strong presentation skills to influence and align with senior management
• Experience delivering highly-complex consumer or B2B/enterprise software products from inception to launch
• Experience with agile development processes and frequent product releases
• Excellent written and verbal communication skills
• High interpersonal skills to build trusted and strategic cross-team partnerships rooted in customer benefit
• Technical degree, or equivalent experience working with engineers to make product decisions on behalf of customers
• Legally eligible to work in Bulgaria
• Fluency in English is required

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.

Key Responsibilities

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
• Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
• Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
• Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
• Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
• Map and improve business processes through data-driven analysis and process design

Requirements & Qualifications

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
• Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
• Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
• Excellent communication skills - you present complex technical work in a way that drives decisions
• Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
• Relentlessly curious and ambitious - you're always learning, always building, always improving
• A public GitHub profile showcasing your projects, experiments, or contributions

Nice to Have

• Experience with Next.js or modern frontend frameworks for building data-facing applications
• FastAPI experience for serving models or internal tooling
• Background in business process analysis or operational process design
• Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
• Experience with JSON-based data formats, APIs, and integration patterns
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Benefits & Culture

• Globally distributed team environment
• Remote or hybrid work options (location-dependent)
• Challenging projects with company-wide impact
• Competitive compensation, 25 days paid annual leave, plus holidays
• A culture that values curiosity, clean engineering, and people who genuinely love what they do

Location – India (remote)

Travel – Flexible for adhoc travel

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.

Key Responsibilities

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
• Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
• Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
• Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
• Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
• Map and improve business processes through data-driven analysis and process design

Requirements & Qualifications

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
• Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
• Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
• Excellent communication skills - you present complex technical work in a way that drives decisions
• Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
• Relentlessly curious and ambitious - you're always learning, always building, always improving
• A public GitHub profile showcasing your projects, experiments, or contributions

Nice to Have

• Experience with Next.js or modern frontend frameworks for building data-facing applications
• FastAPI experience for serving models or internal tooling
• Background in business process analysis or operational process design
• Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
• Experience with JSON-based data formats, APIs, and integration patterns
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Benefits & Culture

• Globally distributed team environment
• Remote or hybrid work options (location-dependent)
• Challenging projects with company-wide impact
• Competitive compensation, 25 days paid annual leave, plus holidays
• A culture that values curiosity, clean engineering, and people who genuinely love what they do

Location – Romania (remote)

Travel – Flexible for adhoc travel

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.

Key Responsibilities

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
• Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
• Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
• Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
• Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
• Map and improve business processes through data-driven analysis and process design

Requirements & Qualifications

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
• Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
• Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
• Excellent communication skills - you present complex technical work in a way that drives decisions
• Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
• Relentlessly curious and ambitious - you're always learning, always building, always improving
• A public GitHub profile showcasing your projects, experiments, or contributions

Nice to Have

• Experience with Next.js or modern frontend frameworks for building data-facing applications
• FastAPI experience for serving models or internal tooling
• Background in business process analysis or operational process design
• Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
• Experience with JSON-based data formats, APIs, and integration patterns
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Benefits & Culture

• Globally distributed team environment
• Remote or hybrid work options (location-dependent)
• Challenging projects with company-wide impact
• Competitive compensation, 25 days paid annual leave, plus holidays
• A culture that values curiosity, clean engineering, and people who genuinely love what they do

Location – Bulgaria (remote)

Travel – Flexible for adhoc travel

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

About Us:

Delasport is where technology meets the excitement of sports and gaming! As a leading powerhouse in iGaming software, we provide everything from sports betting to online casinos and player account management. Our platform is designed to make every player feel like the star of the show, with personalized experiences and cutting-edge technology at its heart. 

Since 2010, we've made a significant impact in industry, earning awards and expanding our global presence. With offices in Bulgaria, Ukraine, and Malta, our team of over 500 experts is constantly driving innovation and striving for excellence.

Your Team:

At Delasport, you’ll work with a diverse and talented group of professionals who are passionate about redefining the iGaming experience. Your team will be dynamic, supportive, and dedicated to driving innovation, ensuring you have the resources and collaboration needed to excel.

Your Role: This is not a designer role. It is a product‑driven UX position focused on shaping player journeys, owning the UX roadmap, and driving KPI‑based decisions. You will apply system thinking, lead discovery and experimentation, and collaborate cross‑functionally to optimize complex iGaming experiences. The emphasis is on UX strategy, logic, and outcomes - not visual design execution.

How You’ll Make an Impact:

• Drive Product Strategy through UX: Move beyond "user satisfaction" to align UX roadmaps with core business KPIs (eg, Increasing NGR, improving FTD conversion, and reducing churn).
• Logical Architecture & Flow: Prioritize functional logic and system thinking over aesthetics. Map complex iGaming ecosystems to ensure user journeys are frictionless and conversion-optimized.
• Outcome-Based Design: Shift focus from "delivering features" to "solving user friction." Create wireframes and prototypes that serve as hypotheses to be tested against real-world product performance.
• Discovery & Validation: Lead continuous discovery. Instead of just "understanding behavior," identify market gaps and user pain points that represent new product opportunities.
• Data-Informed Iteration: Partner with Product Analysts to interpret funnel data and heatmaps, using these quantitative insights to prioritize the product backlog.
• Cross-Functional Synergy: Act as the bridge between Product Management and Engineering, ensuring design specifications are technically feasible and commercially viable.
• Rapid Experimentation: Design for A/B testing. Create variant experiences to scientifically determine which design patterns drive the best player lifetime value (LTV).

Who You Are:

• Product-Minded Strategist: You don't just care about "good design"; you care about why a feature exists and how it moves the needle for the company.
• Analytical Problem Solver: You are comfortable looking at a Fullstory or Google Analytics dashboard to identify where users are dropping off and proposing architectural solutions.
• Agile & Lean Practitioner: You prefer "low-fidelity" speed for validation over "pixel-perfect" stagnation. You understand the "Minimum Viable Experience."
• Business Fluent: You can speak the language of stakeholders discussing conversion rates, technical debt, and ROI just as easily as typography or spacing.
• iGaming Context: Familiarity with the psychological triggers of gaming, such as "near-miss" mechanics, reward loops, and responsible gaming friction.

• Communication & Collaboration: Excellent communication and collaboration skills, capable of engaging effectively with stakeholders across all levels of the organization.

What We Offer to Make You Smile:

We’re not just about work,  we are about creating a great place to grow, connect, and enjoy the journey. Here’s what you can expect when you join us:

• Competitive Salary Package: We value your skills, dedication, and contributions
• Time Off: Enjoy 21+ days of annual paid leave so you can rest, recharge, and come back inspired
• Bonus & Rewards: Performance-based annual bonuses, special vouchers for birthdays and welcoming a newborn
• Health & Wellness: Additional Health insurance including dental care; Co-funding a Multisport/Coolfit card to help you stay active
• Extra Benefits: Employee discounts at various retailers and a monthly allowance for public transportation
• Great Office Locations: Central office location in Sofia and Plovdiv
• Relax & Recharge Zone: Take a break with colleagues in our PlayStation and Pool Area - perfect for recharging during the day

Wait, there’s more:

• Happy Hour Fridays: Every Friday we host themed Happy Hours with snacks, fun activities, and plenty of opportunities to connect and unwind with colleagues
• Multicultural Days: Celebrate diversity and experience the traditions, food, and cultures of teammates from around the world
• Massages at the Office: Weekly Free Recreational Massages to help relax during the workday
• Chess Lessons: Sharpen your strategic thinking and enjoy some friendly competition with colleagues
• Sports & Football Team: We regularly participate in various sports events and have our own Delasport Football Team, competing in the IT League
• Bulgarian Language Lessons: Bulgarian for Foreigners classes to support smoother communication
• Office Library: Enjoy access to technical literature to expand your knowledge

Ready to Be Part of Something Big? 

If you're excited to join a team that's revolutionizing the iGaming world and want to make a real impact, apply today. We can't wait to meet you!

#LI-HYBRID

Why us? 

Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

• Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
• Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement
• Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
• Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation
• Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies

• 4+ years of relevant experience
• Experience building and using machine learning models with clear and measurable business impact
• Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
• Comfortable working in production-oriented codebases, including using Git for version control
• An interactive and collaborative approach to delivering ML-powered data products
• Quick learning ability and a drive well-suited to a fast-paced startup environment
• Experience clarifying ambiguous business problems and translating them into effective ML solutions
• Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects
• Strong quantitative and programming skills paired with a product-driven sensibility
• Graduate degree in a technical or quantitative discipline
• Fluent in spoken and written English and Bulgarian

Why us? 

Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

• Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
• Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement
• Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
• Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation
• Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies

• 4+ years of relevant experience
• Experience building and using machine learning models with clear and measurable business impact
• Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
• Comfortable working in production-oriented codebases, including using Git for version control
• An interactive and collaborative approach to delivering ML-powered data products
• Quick learning ability and a drive well-suited to a fast-paced startup environment
• Experience clarifying ambiguous business problems and translating them into effective ML solutions
• Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects
• Strong quantitative and programming skills paired with a product-driven sensibility
• Graduate degree in a technical or quantitative discipline
• Fluent in spoken and written English and Bulgarian

Why us? 
 
Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
 

How you will make an impact

• Partner closely with the Marketing team to assist in the development of more sophisticated bidding and targeting methodologies across Paid Search, Retargeting, and Email campaigns
• Develop models and algorithms to personalise the ranking of results in the product
• Identify opportunities, propose experiments and develop models to improve customer conversions

What you need to succeed

• 4+ years of relevant experience
• Experience with building and using machine learning models with clear business impact
• Strong skills and experience in Python (numpy, pandas, sklearn, etc) and SQL
• Quick learning ability and a drive suitable for the startup hustle
• As an early member of a small team, emphasise on interactive approach to delivering data products
• Experience with clarifying a business problem, identify and implement good solution
• Curiosity about data, outliers, using data to propose and confirm causes and effects 
• Strong quantitative and programming skills with a product-driven sensibility
• Graduate Degree in technical/quantitative disciplines
• Fluent spoken and written use of English language

 

Benefits

• 25 days annual leave
• Enhanced private medical, dental and vision insurance plans
• Yearly wellbeing budget or Multisport card
• Personal budget for learning and books
• Office kitchen and fun area with snacks and beverages
• Regular social events
• Friendly office culture
• Hybrid office

Why us? 

Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

How you will make an impact:

• Lead cross-functional projects from ideation to execution with a high degree of independence and maximum impact
• Solve high velocity, high impact analytics problems
• Scale the business using data
• Work on a mix of analytics engineering, business analytics, and data science using SQL and Python
• Build scalable data infrastructure that solves real problems

Sample projects:

• Operate and improve a data product to serve evolving business needs
• Refactor data system to scale with increased volume and new requirements
• Build new data pipelines to support tracking of new business initiatives 
• Champion usage of new tools and systems to improve team processes
• Improve the prediction accuracy of our customer acquisition machine-learning bidding algorithms
• Perform customer segmentation analysis to discover where to improve Insurify products
• Improve alerting systems to help us triage data quality issues at scale

Key Skills + Background

• 3-4 years of experience, record of impact and success in a similar role (Analytics or Data Engineering, Data Science, Data Analysis)
• Expertise in and real-world experience with SQL
• Exposure to data warehousing and ETL concepts 
• Strong quantitative and programming skills - Python (preferred) R, Rust, Go, Ruby, C++ also good
• Bachelors / Masters in Mathematics, Engineering, CS, Economics, or other technical major
• Quick learning ability and a drive suitable for the startup hustle.
• A positive team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in insurance!

Benefits

• Employee stock options
• 25 days annual leave
• Enhanced private medical, dental and vision insurance plans
• Yearly wellbeing budget or Multisport card
• Personal budget for learning and books
• Employee Assistance Program and other wellbeing perks
• Office kitchen and fun area with snacks and beverages
• Regular social events
• Friendly office culture
• Hybrid office