Title: Accountant

Location: Spain; Barcelona (Hybrid work model, minimum 2 days in office)

Experience: Mid Level

Job Function: Finance 

Employment Type: Full-time

Industry: Computer and Network Security

About the position

The Accountant is responsible for preparing accurate financial statements and ensuring compliance with accounting regulations. This role requires analytical skills and a thorough understanding of financial principles.

Job Responsibilities

• Prepare monthly financial statements and reports. 
• Perform month-end close activities, including journal entries, accruals, and reconciliations.
• Manage Accounts Receivable (AR), including issuing customer invoices and monitoring collections.
• Manage Accounts Payable (AP), including processing and posting supplier invoices.
• Record and reconcile bank transactions and cash movements.
• Analyze financial data for accuracy and compliance. 
• Ensure timely and accurate accounting of tax information from tax department. 
• Monitor account balances and resolve discrepancies. 
• Perform detailed account reconciliations. 
• Assist in preparing budget variances.
• Support internal and external audits. 
• Implement improvements to accounting processes and systems. 
• Stay updated on relevant accounting regulations. 
• Train and mentor junior accounting staff. 

Minimum Qualifications, Education, and Skills

• Bachelor's degree or equivalent experience. 
• Solid knowledge of accounting practices, finance, or a related field, with experience in implementing financial solutions and managing tasks of moderate complexity. Demonstrated ability to prepare financial statements, reconcile accounts, and support Prior experience in an accounting role with exposure to budgeting and forecasting is required.
• Expert analytical and technical skills excellent communication, and project management skills. 
• Utilizes advanced software features to enhance reporting accuracy and efficiency. 
• Ability to lead small projects, innovate within the role, and provide training to peers. 
• Capable of managing time effectively and prioritizing multiple tasks to meet deadlines. 
• Comprehensive knowledge of industry standards, company operations, and advanced methodologies. 
• Possesses the ability to apply best practices in financial reporting and compliance. 
• Fluency in English and Portuguese is required.
• Knowledge of Brazilian accounting standards and tax regulations, with proven experience working with Brazil’s accounting system and local compliance requirements. 

#LI-NA1

Title: Marketing Operations & Research Manager (Portuguese speaker)

Location: Spain; Madrid

Experience: Mid Level

Job Function: Marketing

Employment Type: Full-time

Industry: Computer Network & Security

Job Summary

Lead operational marketing and market research initiatives aimed at generating qualified opportunities, optimizing event participation, and gaining strategic insights into customers and markets. The role will be responsible for the end-to-end management of outreach campaigns (emailing, calls, surveys) and for producing analytical reports that support commercial and marketing decision-making. Handles day-to-day operational tasks, including process management and performance metrics. Supports marketing teams by ensuring efficient execution of campaigns and workflows, and contributes to the optimization of marketing operations.

The position is based in the Madrid office, we have a hybrid work model and excellent flexible working practices. The working hours will be 10:00am – 7:00pm (one hour - lunch break) to cover part of LATAM timezone hours. The position requires fluency in written & verbal Portuguese and understanding of Brazilian market. 

Job Responsibilities 

• Lead in-depth analysis of marketing performance data, identifying trends and opportunities for optimization.
• Design and execute direct outreach campaigns (email and calls) to promote and invite audiences to events, webinars, and brand activities.
• Ensure high-quality marketing databases by overseeing data cleansing, segmentation, enrichment, and scoring to drive scalable growth and performance optimization.
• Identify and implement process improvements to optimize marketing workflows and enhance team productivity.
• Manage relationships with external vendors, external agencies involved in surveys, and service providers to ensure alignment and quality execution.
• Lead efforts to implement advanced segmentation strategies in the CRM, ensuring accurate targeting for marketing campaigns.
• Monitor and analyze campaign and event KPIs, ensuring end-to-end performance traceability and driving continuous optimization through data-driven insights.
• Plan and coordinate market research projects, including survey design, audience segmentation, execution, and results analysis.
• Produce strategic reports and insights based on qualitative and quantitative data (surveys, CRM, digital campaigns, etc.), identifying trends and opportunities.
• Provide strategic recommendations to enhance campaign impact and deepen market understanding. 

Minimum Qualifications, Education and Skills

• Bachelor's degree or equivalent experience in Marketing, Sociology, Business Administration, Market Research and similar areas. 
• Strong experience in marketing operations, data management, or process optimization.
• Expert analytical and technical skills, excellent communication, and project management skills.
• Proficiency in marketing tools and software. Strong knowledge of CRM and marketing automation tools (Salesforce, HubSpot, etc.).
• High analytical skills and strong command of reporting tools (advanced Excel, Google Data Studio, Power BI, or similar).
• Ability to lead small projects, innovate within the role, and provide training to peers.
• Comprehensive knowledge of industry standards, company operations, and advanced methodologies. Preferably with previous experience in B2B technology or cybersecurity environments.
• Understanding of Brazilian market and fluency in Brazilian Portuguese is essential. 
• Fluency in Spanish and English language. #LI-NA1

Title: Sales Development Representative, LATAM

Location: Spain; Madrid 

Experience: Entry Level

Job Function: Sales Development

Employment Type: Full time

Industry: Computer & Network Security

About The Position

In 2019, Keyfactor decided to widen its investment and acquired Redtrust, a Spanish company pioneer in the management of people's identity through the custody and management of digital certificates. Redtrust has a strong reputation for providing top-notch products and services in Spain. The expansion to the Latin American market is a natural progression for the company, which aims to meet the growing demand for secure digital signing tools in the region.

Redtrust is expanding and looking to add an enthusiastic, professional, and goal-oriented Sales Development Representative (SDR) to our team. Currently, as part of our internationalization strategy in LATAM, we want to expand our sales team with a special focus on the Brazilian market.

The Sales Development Representative (SDR) identifies and qualifies new leads to generate potential sales opportunities. SDRs with Redtrust work in a highly consultative role, developing the initial interest in Redtrust digital certificates solution.  The right candidate will be highly proficient in establishing relationships with key decision makers including the “C” level and have a proven ability to qualify and penetrate mid-market to enterprise commercial corporate accounts. 

The position is based in Madrid office, we have a hybrid work pattern and excellent flexible working practices. 

The working hours will be 12:00pm – 8:00pm or 1:00pm – 9:00pm ( +one hour - lunch break) to cover part of LATAM timezone hours. The position requires fluency in written & verbal Portuguese. 

Responsibilities

• Builds and maintains a healthy top-of-funnel pipeline, ensuring a steady flow of qualified opportunities for Sales Directors.
• Utilizes an Account-Based Experience strategy to tailor interactions and engagements with targeted accounts, enhancing lead quality and conversion rates.
• Works with the marketing team to amplify the reach and effectiveness of campaigns within their territory and follows up with inbound leads, ensuring no opportunity is missed.
• Identifies and engages with key stakeholders within targeted accounts, leveraging insights and data to personalize outreach and communications.
• Conducts initial qualification of leads, assessing their fit and potential value before passing them along to Enterprise Sales Directors for further development.
• Gathers and reports insights on market trends, competitor activities, and potential opportunities to inform sales and marketing strategies.
• Utilizes outbound sales tactics such as cold calling, email campaigns, and social selling to engage potential clients.
• Collaborates with marketing to leverage campaigns and events for pipeline acceleration.
• Conducts market research to understand industry trends, competitor landscapes, and potential customer pain points.
• Maintains accurate records of sales activities and pipeline development in CRM tools.

Skills and Qualifications

• High school diploma or equivalent; bachelor’s degree in business, marketing, or a related field or equivalent experience.
• Experience in sales, customer service, or a related role.
• Experience in B2B field.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Basic knowledge of CRM systems.
• Effective communication and interpersonal skills.
• Ability to conduct research and identify potential leads.
• Capability to handle initial sales inquiries and follow up on leads.
• Adaptability to learn new sales techniques and tools.
• Basic understanding of sales processes and CRM tools.
• Familiarity with marketing tactics and lead generation.
• Some relevant work experience in a similar role
• Fluent in Portuguese and Spanish language (English is a plus). Please note it is an essential requirement for this role that incumbent is fluent in Portuguese (written & verbal).

#LI-NA1

Title: Test Automation Engineer

Location: Spain, Barcelona (Hybrid work model)

Job Function:  Engineering 

Employment Type: Full-Time

Industry: Computer Network & Security

About the position

The Test Automation Engineer develops and executes test automation code to improve the efficiency and fidelity of testing. This role involves collaborating with QA Analysts, QA Leads, and software engineers to ensure that automated testing is integrated into the development pipeline. 

RESPONSIBILITIES

• Develop and execute automated test scripts to improve the efficiency and fidelity of testing. 
• Collaborate with QA and software engineers to integrate automated testing into the development process. 
• Troubleshoot and resolve issues with test automation code and frameworks.  
• Participate in the design and implementation of automation frameworks and tools.
• Monitor and report on the performance of automated tests.
• Contribute to the continuous improvement of automation processes and tools. 
• Identify testability constraints in production software and take the initiative to drive improvements.

SKILLS AND QUALIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent experience. 
• Strong experience in test automation or software development with a focus on testing.  
• Expert analytical and technical skills, excellent communication, and project management skills.
• Understanding of programming languages, experience with automation frameworks.
• Ability to lead technical projects, innovate within the role, and provide training to peers.
• Ability to collaborate with QA and development teams, continuously improve automation skills, and optimize test coverage.
• Understanding of CI/CD integration, test automation frameworks, and defect tracking systems.  #LI-NA1

Title: Engineering Manager (job title on contract will be Manager, Engineering) 

Location: Spain; Barcelona (Hybrid work model)

Experience: Senior 

Job Function: Engineering

Employment Type: Full-Time

Industry: Computer & Network Security

Job Summary

Leads a team of engineers, managing day-to-day activities and project goals. Drives technical excellence, supports team development, and ensures successful execution of engineering tasks.

Job Responsibilities

• Build, lead, and support a high-performing team of engineers.
• Encourage a culture of ownership, experimentation, and learning within the team.
• Provide coaching, mentorship, and feedback to help engineers grow in their roles.
• Ensure that engineering work aligns with technical and business requirements.
• Collaborate with product managers and other teams to drive product development.
• Implement and maintain engineering processes and best practices.
• Drive improvements in engineering effectiveness and quality.

Minimum Qualifications, Education, and Skills

• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• Significant experience in software engineering, with at least 2 years in a leadership role.
• Excellent managerial and organizational skills.
• Proficiency in team management, process improvement, and effective communication.
• Knowledge of software development life cycle and agile methodologies.
• Experience leading teams developing for Windows, Linux and macOS platforms.
• Familiarity with the team´s technical stack, including: C#, C/C++, Powershell, Angular, Swift.
• Understanding of Cloud, infrastructure, and DevOps environments such as: Azure, SQL Server, GitLan/GitHub, Jenkins and GitLab CI.
• Knowledge of distributed systems, API-centric architecture, test automation, and secure development practices. 
• Experience working with digital certificates is a plus. #LI-NA1

At Superbet, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: Spain 
Travel: 20% travel domestically and globally
Job ID:  1408

Think of a product. Like lean, mean software. For sports betting. With the best possible real-time solutions. Now think of innovating the testing process. Stopping bugs from reaching production. Paying special attention to how and what is delivered. Directly tailoring the experience for tens of thousands of people daily. Sounds interesting?

What You’ll Be Doing:

• Be responsible for designing, implementing, and managing automated tests across the product suite
• Design and implement comprehensive test automation solutions that encompass web applications, web services (microservices), and native apps. Ensure coverage across various testing types, including UI testing, API testing, and others, to support robust quality assurance practices
• Collaborate with business stakeholders to define acceptance criteria for software projects
• Be jointly responsible for the maintenance and quality of codebases and infrastructure
• Issue Investigation and Reporting
• Quality Control: Ensure we have vital checks on all our products (metrics, health checks) dashboards, ensure critical business scenarios are covered and automate them.
• Making sure tests run in Continuous Integration

We Are Looking for Someone Who:

• Has a minimum of Bachelor’s degree in Computer Science or a related discipline
• Is highly proficient in Functional or Object-oriented programming
• Has strong understanding of QA processes and demonstrated experience in defining and implementing test designs from scratch
• Has extensive experience with test automation tools (Selenium, Cypress, Playwright etc.)
• Has extensive experience writing backend tests (API, unit, database) and testing RESTful services using tools such as Postman or SoapUI
• Has understanding of Non-Functional testing, especially Load and Performance testing
• Prefers a shift-left testing approach

Nice to Have:

• ISTQB certification
• Experience with BDD (Behaviour Driven Development)
• Knowledge of Ruby or JavaScript
• Experience using Xray or similar Test Management tool
• Experience with event-driven architecture (Kafka, AWS, Docker etc.), preferably in a Product environment

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

The Engineering Team employs some of the top engineering talent who are constantly working to improve processes, quality and techniques, with the goal of producing the highest quality software solutions in the industry. The lines between traditional QA and software engineering are blurred here, with quality being considered at all stages of development.

Our team is comprised of very talented and highly motivated individuals, who pride themselves on working smarter, not harder. We’re empowered to make local decisions, reducing the overhead of getting things done. We aim for operational excellence, having a DevOps culture and a “you build it, you run it” mentality. We favor a Lean approach to our product development, following agile workflows such as Scrum and Kanban depending on the directive of the team. We welcome new technologies and are constantly self-evaluating our tech stack to make sure we are providing software of the highest quality. Continuous Delivery is important to us, and we are constantly looking to improve our automated testing and continuous integration.

As a Senior Software Engineer for our Retailers business function, you are responsible for writing efficient, well-structured, and maintainable code, setting an example for other engineers as a subject matter expert, mentoring and guiding less experienced engineers.  You work closely with our lead designers and architects to drive our product forward and to ensure the scalability, maintainability and performance of our product suite.  

Responsibilities

• Provide guidance on system architecture decisions, making sure the technical direction aligns with business goals.
• Conduct thorough code reviews, ensuring best practices are followed, identifying potential issues, and mentoring junior developers in improving their coding skills.
• Provide technical guidance, share knowledge, and help junior and mid-level engineers grow in their roles by reviewing their work and offering constructive feedback.
• Work closely with other teams to ensure seamless delivery of software projects and alignment across departments.
• Be able to break down large, complex tasks into smaller, manageable components and distribute them among team members.
• Play a key role in agile processes, including sprint planning, daily stand-ups, retrospectives, and prioritization of tasks.
• Communicate effectively with stakeholders, including product managers, designers, and clients, to clarify requirements and ensure alignment with business objectives.
• Handle complex technical challenges, debugging, and resolving issues that may be beyond the scope of junior engineers.
• Integrate AI tools throughout the development lifecycle with critical evaluation for security, performance, and maintainability 
• Build and maintain AI API integrations with proper error handling, caching, and observability 
• Automate development workflows using AI in CI/CD pipelines 
• Mentor team members on effective AI tool usage and establish team-level best practices 
• Apply compliance standards to all AI implementations
• Participate in on-call rotation to support the “you build it you own it” mantra
• Understanding and utilization of software development tools including version control, building processes, debuggers, and test frameworks for:
  • Primary technologies (may include):
    • Typescript, Angular
    • JavaScript, Node.js, React.js
    • Python
    • AWS services (Lambda, DynamoDB, OpenSearch, Kinesis, API Gateway, Step Functions, and others)
    • IaC: Terraform, CloudFormation, Serverless
  • Secondary technologies
    • AWS services (OpenSearch, Lambda, DynamoDB, Kinesis, RDS, ECS, and others)
    • SOAP/REST web service APIs
    • Redis, NoSQL
    • AWS SageMaker, Glue
    • Microsoft SQL Server

Qualifications 

Minimum Qualifications  

• 3+ years' experience developing in Angular, Typescript, JavaScript or Node.js,
• 3+ years' experience developing in AWS Technologies
• 2+ years of experience integrating AI tools into production software development workflows 
• Proven track record of building and maintaining AI API integrations in production systems 
• Experience automating workflows with AI tools and measuring productivity impact 
• Demonstrated ability to mentor others on AI development practices 
• Knowledge of compliance standards relevant to AI implementations (data privacy, security)
• Experience developing web applications, working with databases, and consuming APIs
• Understanding of relevant software development tools including version control, build processes and test frameworks
• Ability to work independently with limited supervision

Preferred Qualifications 

• Bachelor's degree or higher in Computer Science or a closely related field
• 2+ years of AI/ML experience with a strong technical and strategic focus, with expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
• 2+ years expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
• 2+ years' experience in creating data systems for feature stores or vector databases.
• Experience with cloud computing infrastructures such as AWS or Azure
• Use of source code repositories such as Azure DevOps and Git
• Experience working with SQL Server and NoSQL databases
• Experience with performance tuning and optimization techniques for high scale systems
• Experience working with development teams in multiple time zones
• Proven track record of creating secure and scalable software that scales to dozens or hundreds of servers in a distributed, fault tolerant manner
• Experience with e-commerce, retail, online marketplaces, or digital advertising
• Excellent analytical, decision-making and problem-solving skills
• Proven ability to work in a rapidly changing environment with keen attention to detail

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

The Engineering Team employs some of the top engineering talent who are constantly working to improve processes, quality and techniques, with the goal of producing the highest quality software solutions in the industry. The lines between traditional QA and software engineering are blurred here, with quality being considered at all stages of development.

Our team is comprised of very talented and highly motivated individuals, who pride themselves on working smarter, not harder. We’re empowered to make local decisions, reducing the overhead of getting things done. We aim for operational excellence, having a DevOps culture and a “you build it, you run it” mentality. We favor a Lean approach to our product development, following agile workflows such as Scrum and Kanban depending on the directive of the team. We welcome new technologies and are constantly self-evaluating our tech stack to make sure we are providing software of the highest quality. Continuous Delivery is important to us, and we are constantly looking to improve our automated testing and continuous integration.

As a Senior Software Engineer for our Retailers business function, you are responsible for writing efficient, well-structured, and maintainable code, setting an example for other engineers as a subject matter expert, mentoring and guiding less experienced engineers.  You work closely with our lead designers and architects to drive our product forward and to ensure the scalability, maintainability and performance of our product suite.  

Responsibilities

• Provide guidance on system architecture decisions, making sure the technical direction aligns with business goals.
• Conduct thorough code reviews, ensuring best practices are followed, identifying potential issues, and mentoring junior developers in improving their coding skills.
• Provide technical guidance, share knowledge, and help junior and mid-level engineers grow in their roles by reviewing their work and offering constructive feedback.
• Work closely with other teams to ensure seamless delivery of software projects and alignment across departments.
• Be able to break down large, complex tasks into smaller, manageable components and distribute them among team members.
• Play a key role in agile processes, including sprint planning, daily stand-ups, retrospectives, and prioritization of tasks.
• Communicate effectively with stakeholders, including product managers, designers, and clients, to clarify requirements and ensure alignment with business objectives.
• Handle complex technical challenges, debugging, and resolving issues that may be beyond the scope of junior engineers.
• Integrate AI tools throughout the development lifecycle with critical evaluation for security, performance, and maintainability 
• Build and maintain AI API integrations with proper error handling, caching, and observability 
• Automate development workflows using AI in CI/CD pipelines 
• Mentor team members on effective AI tool usage and establish team-level best practices 
• Apply compliance standards to all AI implementations
• Participate in on-call rotation to support the “you build it you own it” mantra
• Understanding and utilization of software development tools including version control, building processes, debuggers, and test frameworks for:
  • Primary technologies (may include):
    • Typescript, Angular
    • JavaScript, Node.js, React.js
    • Python
    • AWS services (Lambda, DynamoDB, OpenSearch, Kinesis, API Gateway, Step Functions, and others)
    • IaC: Terraform, CloudFormation, Serverless
  • Secondary technologies
    • AWS services (OpenSearch, Lambda, DynamoDB, Kinesis, RDS, ECS, and others)
    • SOAP/REST web service APIs
    • Redis, NoSQL
    • AWS SageMaker, Glue
    • Microsoft SQL Server

Qualifications 

Minimum Qualifications  

• 3+ years' experience developing in Angular, Typescript, JavaScript or Node.js,
• 3+ years' experience developing in AWS Technologies
• 2+ years of experience integrating AI tools into production software development workflows 
• Proven track record of building and maintaining AI API integrations in production systems 
• Experience automating workflows with AI tools and measuring productivity impact 
• Demonstrated ability to mentor others on AI development practices 
• Knowledge of compliance standards relevant to AI implementations (data privacy, security)
• Experience developing web applications, working with databases, and consuming APIs
• Understanding of relevant software development tools including version control, build processes and test frameworks
• Ability to work independently with limited supervision

Preferred Qualifications 

• Bachelor's degree or higher in Computer Science or a closely related field
• 2+ years of AI/ML experience with a strong technical and strategic focus, with expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
• 2+ years expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
• 2+ years' experience in creating data systems for feature stores or vector databases.
• Experience with cloud computing infrastructures such as AWS or Azure
• Use of source code repositories such as Azure DevOps and Git
• Experience working with SQL Server and NoSQL databases
• Experience with performance tuning and optimization techniques for high scale systems
• Experience working with development teams in multiple time zones
• Proven track record of creating secure and scalable software that scales to dozens or hundreds of servers in a distributed, fault tolerant manner
• Experience with e-commerce, retail, online marketplaces, or digital advertising
• Excellent analytical, decision-making and problem-solving skills
• Proven ability to work in a rapidly changing environment with keen attention to detail

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

The Engineering Team employs some of the top engineering talent who are constantly working to improve processes, quality and techniques, with the goal of producing the highest quality software solutions in the industry. The lines between traditional QA and software engineering are blurred here, with quality being considered at all stages of development.

Our team is comprised of very talented and highly motivated individuals, who pride themselves on working smarter, not harder. We’re empowered to make local decisions, reducing the overhead of getting things done. We aim for operational excellence, having a DevOps culture and a “you build it, you run it” mentality. We favor a Lean approach to our product development, following agile workflows such as Scrum and Kanban depending on the directive of the team. We welcome new technologies and are constantly self-evaluating our tech stack to make sure we are providing software of the highest quality. Continuous Delivery is important to us, and we are constantly looking to improve our automated testing and continuous integration.

As a Senior Software Engineer for our Retailers business function, you are responsible for writing efficient, well-structured, and maintainable code, setting an example for other engineers as a subject matter expert, mentoring and guiding less experienced engineers.  You work closely with our lead designers and architects to drive our product forward and to ensure the scalability, maintainability and performance of our product suite.  

Responsibilities

• Provide guidance on system architecture decisions, making sure the technical direction aligns with business goals.
• Conduct thorough code reviews, ensuring best practices are followed, identifying potential issues, and mentoring junior developers in improving their coding skills.
• Provide technical guidance, share knowledge, and help junior and mid-level engineers grow in their roles by reviewing their work and offering constructive feedback.
• Work closely with other teams to ensure seamless delivery of software projects and alignment across departments.
• Be able to break down large, complex tasks into smaller, manageable components and distribute them among team members.
• Play a key role in agile processes, including sprint planning, daily stand-ups, retrospectives, and prioritization of tasks.
• Communicate effectively with stakeholders, including product managers, designers, and clients, to clarify requirements and ensure alignment with business objectives.
• Handle complex technical challenges, debugging, and resolving issues that may be beyond the scope of junior engineers.
• Integrate AI tools throughout the development lifecycle with critical evaluation for security, performance, and maintainability 
• Build and maintain AI API integrations with proper error handling, caching, and observability 
• Automate development workflows using AI in CI/CD pipelines 
• Mentor team members on effective AI tool usage and establish team-level best practices 
• Apply compliance standards to all AI implementations
• Participate in on-call rotation to support the “you build it you own it” mantra
• Understanding and utilization of software development tools including version control, building processes, debuggers, and test frameworks for:
  • Primary technologies (may include):
    • Typescript, Angular
    • JavaScript, Node.js, React.js
    • Python
    • AWS services (Lambda, DynamoDB, OpenSearch, Kinesis, API Gateway, Step Functions, and others)
    • IaC: Terraform, CloudFormation, Serverless
  • Secondary technologies
    • AWS services (OpenSearch, Lambda, DynamoDB, Kinesis, RDS, ECS, and others)
    • SOAP/REST web service APIs
    • Redis, NoSQL
    • AWS SageMaker, Glue
    • Microsoft SQL Server

Qualifications 

Minimum Qualifications  

• 3+ years' experience developing in Angular, Typescript, JavaScript or Node.js,
• 3+ years' experience developing in AWS Technologies
• 2+ years of experience integrating AI tools into production software development workflows 
• Proven track record of building and maintaining AI API integrations in production systems 
• Experience automating workflows with AI tools and measuring productivity impact 
• Demonstrated ability to mentor others on AI development practices 
• Knowledge of compliance standards relevant to AI implementations (data privacy, security)
• Experience developing web applications, working with databases, and consuming APIs
• Understanding of relevant software development tools including version control, build processes and test frameworks
• Ability to work independently with limited supervision

Preferred Qualifications 

• Bachelor's degree or higher in Computer Science or a closely related field
• 2+ years of AI/ML experience with a strong technical and strategic focus, with expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
• 2+ years expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
• 2+ years' experience in creating data systems for feature stores or vector databases.
• Experience with cloud computing infrastructures such as AWS or Azure
• Use of source code repositories such as Azure DevOps and Git
• Experience working with SQL Server and NoSQL databases
• Experience with performance tuning and optimization techniques for high scale systems
• Experience working with development teams in multiple time zones
• Proven track record of creating secure and scalable software that scales to dozens or hundreds of servers in a distributed, fault tolerant manner
• Experience with e-commerce, retail, online marketplaces, or digital advertising
• Excellent analytical, decision-making and problem-solving skills
• Proven ability to work in a rapidly changing environment with keen attention to detail

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

The Engineering Team employs some of the top engineering talent who are constantly working to improve processes, quality and techniques, with the goal of producing the highest quality software solutions in the industry. The lines between traditional QA and software engineering are blurred here, with quality being considered at all stages of development.

Our team is comprised of very talented and highly motivated individuals, who pride themselves on working smarter, not harder. We’re empowered to make local decisions, reducing the overhead of getting things done. We aim for operational excellence, having a DevOps culture and a “you build it, you run it” mentality. We favor a Lean approach to our product development, following agile workflows such as Scrum and Kanban depending on the directive of the team. We welcome new technologies and are constantly self-evaluating our tech stack to make sure we are providing software of the highest quality. Continuous Delivery is important to us, and we are constantly looking to improve our automated testing and continuous integration.

As a Senior Software Engineer for our Retailers business function, you are responsible for writing efficient, well-structured, and maintainable code, setting an example for other engineers as a subject matter expert, mentoring and guiding less experienced engineers.  You work closely with our lead designers and architects to drive our product forward and to ensure the scalability, maintainability and performance of our product suite.  

Responsibilities

• Provide guidance on system architecture decisions, making sure the technical direction aligns with business goals.
• Conduct thorough code reviews, ensuring best practices are followed, identifying potential issues, and mentoring junior developers in improving their coding skills.
• Provide technical guidance, share knowledge, and help junior and mid-level engineers grow in their roles by reviewing their work and offering constructive feedback.
• Work closely with other teams to ensure seamless delivery of software projects and alignment across departments.
• Be able to break down large, complex tasks into smaller, manageable components and distribute them among team members.
• Play a key role in agile processes, including sprint planning, daily stand-ups, retrospectives, and prioritization of tasks.
• Communicate effectively with stakeholders, including product managers, designers, and clients, to clarify requirements and ensure alignment with business objectives.
• Handle complex technical challenges, debugging, and resolving issues that may be beyond the scope of junior engineers.
• Integrate AI tools throughout the development lifecycle with critical evaluation for security, performance, and maintainability 
• Build and maintain AI API integrations with proper error handling, caching, and observability 
• Automate development workflows using AI in CI/CD pipelines 
• Mentor team members on effective AI tool usage and establish team-level best practices 
• Apply compliance standards to all AI implementations
• Participate in on-call rotation to support the “you build it you own it” mantra
• Understanding and utilization of software development tools including version control, building processes, debuggers, and test frameworks for:
  • Primary technologies (may include):
    • Typescript, Angular
    • JavaScript, Node.js, React.js
    • Python
    • AWS services (Lambda, DynamoDB, OpenSearch, Kinesis, API Gateway, Step Functions, and others)
    • IaC: Terraform, CloudFormation, Serverless
  • Secondary technologies
    • AWS services (OpenSearch, Lambda, DynamoDB, Kinesis, RDS, ECS, and others)
    • SOAP/REST web service APIs
    • Redis, NoSQL
    • AWS SageMaker, Glue
    • Microsoft SQL Server

Qualifications 

Minimum Qualifications  

• 3+ years' experience developing in Angular, Typescript, JavaScript or Node.js,
• 3+ years' experience developing in AWS Technologies
• 2+ years of experience integrating AI tools into production software development workflows 
• Proven track record of building and maintaining AI API integrations in production systems 
• Experience automating workflows with AI tools and measuring productivity impact 
• Demonstrated ability to mentor others on AI development practices 
• Knowledge of compliance standards relevant to AI implementations (data privacy, security)
• Experience developing web applications, working with databases, and consuming APIs
• Understanding of relevant software development tools including version control, build processes and test frameworks
• Ability to work independently with limited supervision

Preferred Qualifications 

• Bachelor's degree or higher in Computer Science or a closely related field
• 2+ years of AI/ML experience with a strong technical and strategic focus, with expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
• 2+ years expertise in machine learning algorithms, NLP, computer vision, or large-scale deployment.
• 2+ years' experience in creating data systems for feature stores or vector databases.
• Experience with cloud computing infrastructures such as AWS or Azure
• Use of source code repositories such as Azure DevOps and Git
• Experience working with SQL Server and NoSQL databases
• Experience with performance tuning and optimization techniques for high scale systems
• Experience working with development teams in multiple time zones
• Proven track record of creating secure and scalable software that scales to dozens or hundreds of servers in a distributed, fault tolerant manner
• Experience with e-commerce, retail, online marketplaces, or digital advertising
• Excellent analytical, decision-making and problem-solving skills
• Proven ability to work in a rapidly changing environment with keen attention to detail

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

We are a global technology consulting company specializing in IT solutions, cloud-based platforms, mobile and web applications, and training and support services. With over 14 years of experience and a multicultural team of more than 100 professionals, we deliver projects for highly complex industries such as pharmaceuticals, diagnostics, healthcare, and consumer goods.

At our company, we value international talent, diversity, flexibility, and a collaborative environment that fosters both professional growth and personal well-being.

🧠 What You’ll Do

This role is part of an ongoing strategic project within the pharmaceutical diagnostics sector, focused on the development of a digital solution that supports continuous glucose monitoring for diabetic patients. The platform enables real-time tracking of glucose levels through connected medical devices and applications, helping patients and healthcare professionals better understand trends, anticipate risks, and improve disease management. The system operates in a highly regulated environment and is built to scale across global markets.

As a Solution Architect, you will define and drive the architectural vision across a Solution Train, ensuring alignment between business needs, enterprise standards, and technical implementation. You will work closely with Solution Management, System Architects, Enterprise Architects, and external partners to design a solution that is feasible, scalable, and sustainable over time.

You will act as a key bridge between business, product, and engineering, operating in a complex, multi-team environment with high stakeholder exposure.

Your main responsibilities will include:

• Collaborate closely with Solution Management to design solutions that meet customer and stakeholder needs
• Work with System Architects and suppliers within the Solution Train to elaborate the solution, validate technology assumptions, evaluate alternatives, and converge on the final design
• Ensure the feasibility and long-term sustainability of the solution
• Design and evolve the technical solution in collaboration with System Architects, ensuring consistency across the architecture
• Enable and support the Continuous Delivery Pipeline
• Partner with Enterprise Architects to define and support Architectural Enablers contributing to the Architectural Runway
• Develop and maintain the Architectural Runway to enable efficient and scalable delivery
• Manage suppliers operating as Agile Release Trains (ARTs), ensuring alignment within the overall value stream
• Align technology approaches and architectural decisions across the solution landscape
• Actively participate in solution-level ceremonies and support System Architects and ARTs during Program Increments

✅ What We’re Looking For

• Bachelor’s degree in Computer Science or equivalent experience, ideally with certifications in areas such as Cloud, Data, Security, Integration, or Solution Architecture
• 3–6 years of experience in infrastructure and/or application architecture within medium to large global enterprises, preferably in regulated environments
• Strong understanding of architecture frameworks and patterns (API, SOA, CI/CD, TOGAF)
• Experience with cloud platforms, data governance, data management, and advanced analytics environments
• Familiarity with healthcare regulations and medical device constraints affecting architecture decisions
• SAFe for Architects certification (or equivalent experience in scaled Agile environments)
• Ability to support business cases for technical solutions, including ROI and efficiency analysis
• Excellent oral and written English, with the ability to build trusted relationships across business and engineering teams
• Leadership: Proven ability to lead cross-functional teams and coordinate multiple stakeholders
• Proactive, self-driven mindset with strong organizational and conflict-resolution abilities

Nice to have:

• Experience with AWS (certification is a plus) and/or other cloud providers (Azure, GCP)
• Knowledge of distributed systems and microservices architecture
• Familiarity with healthcare interoperability standards (FHIR, HL7) and GxP-regulated environments
• Experience with API design, modeling tools, and web/mobile security

💜 Why You’ll Love Working at Nuvolar

• People-First Culture focused on collaboration and growth
• 100% remote work, based in Spain, with occasional (non-mandatory) meetings in Sant Cugat or client sites
• Continuous learning with training, mentorship, and development budget
• Health and wellness benefits, including private health insurance and gym subsidy
• Strong engineering culture with knowledge-sharing and technical excellence

👥 The Hiring Process

We like to keep things simple and transparent:

1. HR Interview – A friendly conversation to understand your background and career aspirations.
2. Technical Test – Solution Architect exercise focused on architecture and problem-solving
3. Technical Interview – Meet the team and discuss the vision and your potential role in it.

🚀 Join a team where trust, growth, and purpose go hand in hand. Apply now and let’s build meaningful tech — together, from anywhere.

If you want to be aware of all of our latest updates, follow us via LinkedIn | Instagram | Glassdoor | Medium

Equal Opportunity Statement
Nuvolar Works is an equal-opportunity employer. We welcome and encourage applications from all backgrounds. We do not discriminate based on age, sex, gender, gender identity or expression, sexual orientation, family or marital status, disability, national origin, race, ethnicity, religion, or any other protected characteristic. Candidates with disabilities are encouraged to apply, and we are committed to providing an inclusive and accessible recruitment process. If you require any adjustments during the hiring process, please let us know.

Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona

Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

Why join Datavant’s tech team? 

• You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
• You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.

Backend Engineer (Python, Kubernetes, AWS)

The Role

As a Backend Engineer, you will design and build scalable services that power mission-critical applications in a cloud native environment. You will develop Python based systems deployed on Kubernetes and AWS, with a focus on reliability, performance, and security. This role offers strong ownership of backend architecture and the opportunity to shape platform standards and best practices.

What You’ll Do

• Design and implement backend services and APIs using Python frameworks
• Build and deploy containerized applications on Kubernetes in AWS
• Leverage specific AWS services to power those applications (e.g. Clean Rooms, EventBridge, etc.)
• Extend infrastructure as code and improve CI/CD pipelines
• Optimize system performance, scalability, and fault tolerance
• Collaborate with cross-functional teams to define service contracts and architecture
• Monitor production systems and resolve reliability and performance issues

What You’ll Bring

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 2+ years of backend software development experience for junior candidates; 6+ years for senior candidates
• Professional experience developing production backend services and APIs in Python
• Hands on experience with Kubernetes and containerized workloads
• Experience deploying and operating services in AWS
• Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practices

Preferred Qualifications

• Experience with infrastructure as code tools such as Terraform/CloudFormation/Pulumi
• Familiarity with observability tools for logging, metrics, and tracing
• Experience implementing secure authentication and authorization mechanisms
• Understanding of architectural considerations for on premises deployments, including networking and security constraints
• Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)

Perks of joining Datavant in Barcelona

• Competitive and equitable salary
• Hybrid work model, with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance, including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week “Work from Anywhere” policy 

Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona

Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

Why join Datavant’s tech team? 

• You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
• You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.

Data Engineer (Python, Spark, Snowflake)

The Role

As a Data Engineer, you will build and scale health data pipelines that enable data discoverability, linkage, privacy, machine learning, and analytics across the organization. You will work with Python, Spark, and Snowflake to design efficient data models and reliable processing frameworks. This role provides the opportunity to shape foundational data infrastructure that supports regulatory-grade health decisions at scale.

What You’ll Do

• Design and maintain scalable data pipelines using Python, Spark, and Airflow
• Ensure pipeline reliability, data quality, and observability
• Partner with Science and Product to define and prioritize data requirements
• Implement automated testing and optimize processing performance and cost
• Design and maintain data validation frameworks aligned with regulatory requirements

What You’ll Bring

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience
• 2+ years of data engineering or software engineering experience for junior candidates; 5+ years for senior candidates
• Professional experience building data pipelines in Python
• Hands on experience with distributed data processing frameworks such as Apache Spark and orchestration with Airflow
• Experience working with cloud data warehouses such as Snowflake
• Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practices

Preferred Qualifications

• Experience designing dimensional or analytics data models
• Experience working in AWS-based data environments
• Experience implementing data governance and quality frameworks
• Understanding of architectural considerations for on premises deployments, including networking and security constraints
• Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)

Perks of joining Datavant in Barcelona

• Competitive and equitable salary
• Hybrid work model, with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance, including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week “Work from Anywhere” policy 

Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona

Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

Why join Datavant’s tech team? 

• You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
• You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.

Full Stack Engineer (Python, React w/ Typescript)

The Role

As a Full-Stack Engineer, you will build and scale user-facing applications and backend services that support complex data-driven workflows. You will contribute across the stack, from designing APIs in Python to developing intuitive interfaces in React. This role provides meaningful ownership of features that directly impact customers and internal stakeholders.

What You’ll Do

• Design and implement backend services using Python and Django/Flask/FastAPI
• Build responsive, maintainable front-end applications using React with TypeScript
• Develop and maintain RESTful APIs and data models
• Collaborate with Product and Design partners to deliver high-quality features
• Write automated tests and participate in code reviews to ensure reliability
• Optimize application performance, scalability, and security

What You’ll Bring

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 2+ years of full-stack software development experience for junior candidates; 5+ years for senior candidates
• Professional experience building backend services in Python and Django/Flask/FastAPI
• Experience developing front-end applications using React
• Experience working with relational databases and version control systems
• Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practice

Preferred Qualifications

• Experience designing and maintaining RESTful APIs in production environments
  Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience implementing CI/CD pipelines
• Familiarity with architectures spanning cloud and on premises infrastructure
• Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)

Perks of joining Datavant in Barcelona

• Competitive and equitable salary
• Hybrid work model, with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance, including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week “Work from Anywhere” policy 

Position Overview:

We're searching for a Senior Product Manager on our Platform Machine Learning team who can help drive the team’s product vision and strategy. This Product Manager will work closely with Zynga’s internal teams to understand their technological needs as they build out engaging experiences for our new and existing player base. Projects will range from the development of automation tools, data pipelines, and ML models, empowering users to effectively and efficiently meet their business goals.

What You'll Do:

• Establish the product vision and strategy that will help improve operations and performance across our business.
• Partner with executive, game, marketing, and analytics teams to understand user needs and establish success criteria with clearly measurable objectives and key results to deliver a great end-user experience.
• Collaborate with a high-performing group of Engineers, Data Scientists, and Analysts acting as the voice of the business to shape the development and delivery of AI solutions. 
• Define key performance indicators (KPIs) and track the impact of products on business outcomes
• Impact the end-to-end product lifecycle of features spanning multiple areas.
• Collaborate to solve novel problems introduced by the constantly evolving and increasingly challenging gaming ecosystem. 
• Be or become a guide in data science strategies and technologies, including key vendors in the space, pros and cons of opposing approaches, and trade-offs involved with different strategies.

Zynga is known for its data-driven culture, its ambitious mindset, and its fast-paced, challenging work environment where each individual can make a difference. We value strong analytical skills, problem-solving, and quantitative experience. We look for great communicators, leaders, and team players.

What You Bring:

• Strong analytical and problem-solving skills with a Bachelor's degree or equivalent experience in Computer Science, Engineering, Economics, or Business.
• 5+ years of professional experience in a product management role.
• Prior experience in working with Game and/or Marketing teams or building DS solutions.
• Demonstrated experience with prioritizing projects, collecting requirements, crafting product specifications, and carrying features from conceptualization to deployment.
• Good knowledge of agile software development methodologies and software development life cycle.
• Experience with metrics-driven decision-making. 
• A track record for high performance and team/project leadership.
• Hard-working, performance-driven self-starter and team player.
• Excellent verbal and written communication skills.

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in Ontario at the start of employment is expected to be between $92,000 and $142,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

Position Overview

Come join our team at Zynga making an impact across all of the company’s games - Mobile Game Tech (MGT)! . As a Software Architect in this team, you will be responsible for the technical vision, design and implementation of backend services that power our games at scale. We’re looking for outstanding engineers with a passion for technology and the desire to work in a team with dynamic strengths. The Architect will play a key role as part of the MGT Organization, focusing on advanced technology developments for building scalable end-to-end products which can be integrated into the various games.

Main Responsibilities

• Design and architect scalable, high-performance backend applications and services running on AWS, ensuring reliability, security, and cost efficiency.
• Analyze and optimize system resources to improve efficiency, scalability, and stability across distributed services.
• Drive technical innovation by evaluating, advocating, and implementing new technologies, tools, and engineering standards across the team.
• Provide technical leadership by reviewing and guiding detailed designs, ensuring alignment with Zynga’s long-term technical vision and best practices.
• Develop and document architectural blueprints, system design plans, and implementation strategies for complex projects.
• Collaborate cross-functionally with product, engineering, and operations teams to translate product and customer requirements into robust technical solutions.
• Establish and monitor engineering processes, quality metrics, and operational KPIs to improve software delivery and system reliability.
• Mentor and coach engineers, fostering a culture of technical excellence, continuous learning, and knowledge sharing.

Desired Skills and Experience

• Bachelor’s or Master’s degree in Computer Science, or equivalent
• 8+ years of professional experience in software development of cloud based software
• Experience programming RESTful services using GoLang (preferred), Java, Python or PHP
• Strong familiarity and experience using AWS and/or other cloud computing platforms (IaaS, PaaS, SaaS)
• Experience with containers and Kubernetes/EKS
• Experience with database systems (SQL, NoSQL)
• Deep understanding of algorithms, design patterns, debugging and performance optimization
• Excellent interpersonal skills and the ability to communicate with senior leadership with confidence and clarity
• Familiarity with web development using JS, Angular and React is a plus

What's in it for you?

• Hybrid working model from home and office. What does this mean? You need to live within commuting distance of our Barcelona office to attend important meetings and events.
• Relocation support to help you move to Barcelona, if you're not already here.
• An impressive 25 days of annual leave, not including public holidays.
• An additional 5 days of annual leave during Christmas.
• Full Catering for Breakfast and lunch at the office 
• Private medical insurance for you and your family to keep your health bar full.
• Choose from the latest iOS or Android device upon joining (phone or tablet).
• Free language lessons in English and Spanish.
• Spotify Premium to add a special soundtrack to your adventure.
• Legendary social events and parties to let off some steam.
• Personal development is key for us: enjoy a significant budget to enhance your skills and knowledge, providing real growth opportunities!

What We Offer You:

Coming to work in the office? Don’t worry – we have you covered. Check out some of our onsite benefits:

• Gym Facilities: Want to stay in shape? We have state-of-the-art gym facilities so you can level up your build stats.
• New Office: Enjoy our brand-new office, complete with top-tier amenities, including a professional barista and delicious breakfast options.
• Onsite Physiotherapist: Book an appointment with our onsite physiotherapist for any aches and pains.
• Onsite Hairdressers: Drop by our onsite hairdressers for a trim (and forget your wallet; it's a Guild perk).

The list just goes on & on... so get your game on and apply now! Click “apply” to level up and submit your application in English.

The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We're looking for someone who

• Holds at least a Bachelor's Degree in Computer Science or a related field
• Has 5+ years of experience building high-quality software and values strong engineering practices like code reviews, CI/CD, and design documents
• Excels at writing clean, maintainable, and well-tested code with a focus on performance and scalability
• Embraces best practices in software engineering, such as comprehensive code reviews and thoughtful design documentation
• Is passionate about delivering high-quality solutions that anticipate and exceed customer needs
• Enjoys working in a collaborative team environment and communicates effectively with others

Bonus points for

• Experience with our tech stack/tools: Golang, Kubernetes, Kafka
• A passion for cloud technologies
• Familiarity with AWS services
• Experience in the betting/gaming industry

What you will be doing

• Contributing directly to the design and code of our platform;
• Optimizing the platform to support product features more efficiently;
• Focusing on ensuring the platform is stable and reliable;
• Supporting platform expansion into new markets and maintaining a stable hosting environment;
• Enabling traders to define what we map to our external offerings;
• Impacting product health in terms of scalability, speed, quality, and flexibility;
• Maintaining low latency and high success rates for the platform, directly improving user experience;
• Conducting design and code reviews and providing mentorship to other team members;
• Continuously iterating to engage customers and bring excitement to the Sports Betting and Gaming industry.

We are looking for an AI Product Builder in Madrid: someone for whom thinking, designing, and building are not separate stages, but a single act. Someone who collapses the distance between idea and product until it becomes almost invisible. End-to-end, no intermediaries, no safe havens. You will work directly with the Data leadership and ship real impact from day one.

About the role

• Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact. No hand-offs.
• Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling as a native part of the product, not as a feature.
• Understand our business, our customers, our market, and the data behind our consumer product to delight users and achieve Fever's goals.
• Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate. Treat shipping as the way to think.
• Build prototypes and production-ready experiences yourself when needed, leveraging AI coding tools and modern development workflows to compress the idea-to-product cycle.
• Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance.
• Collaborate with stakeholders across Design, Growth, and the Tech team, working sid by side with a team of Software Engineers.
• Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls under uncertainty.
• Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship.

About you

Basic skills and qualifications:
• Bachelor's degree in Engineering, Computer Science, or a related field.
• 3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role).
• Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos.
• Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical.
• Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team.
• Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus.
• Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth.
• Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions.
• Proficiency in English; able to communicate complex technical and product ideas clearly to any audience, in writing and in person.
• High sense of ownership, urgency, and drive in a fast-paced, ambiguous environment.

Preferred skills and qualifications
• Hands-on experience with the modern AI stack: LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, agentic workflows, and AI coding tools.
• Experience designing and running evaluations for AI-powered features (offline and online), and reasoning about model quality, cost, and latency trade-offs.
• Background in tech startups, or a strong willingness to operate inside a fast-moving, high-ambition tech company.
• Track record of shipping products as a small team or solo: founder, early-stage employee, indie builder, or similar.
• Strong product taste and design sensitivity — you care about how things feel, not just whether they work.
• Experience formulating hypotheses, building lean validations, running A/B tests, and defining primary and guardrail metrics.
• Strategic sense: ability to collaborate in defining where the consumer product and its AI surface area should go in the next 1–3 years.
• Ability to build trust quickly across different levels of an organization and rally people around what you are building.

Why join Fever

• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 2+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

As a Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 2+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

As a Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 2+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

About Incode

Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security.

Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we’re looking for world-class Machine Learning Engineers to help us keep pushing the boundaries of biometric technology.

The Impact You’ll Make

As a Machine Learning Engineer at Incode, you’ll design, build, and deploy the deep learning models that power our most advanced technologies — from facial recognition and liveness detection to document processing and ID validation.

You’ll join a highly specialized engineering team working on solving complex, real-world challenges with cutting-edge ML architectures. Your work will directly influence how people verify their identity safely, seamlessly, and securely around the world.

What You’ll Own & Drive

• Innovate & Optimize - Develop and refine state-of-the-art deep learning models for computer vision applications such as facial recognition, liveness detection, and document processing and validation.

• Production-Ready Solutions - Architect and maintain scalable, efficient ML pipelines and ensure production-readiness and cost efficiency of deployed models.

• Research & Discovery - Stay at the forefront of academic and industry breakthroughs, experiment with emerging architectures and algorithms, and translate research into production-grade solutions.

• Data Mastery - Drive improvements in model performance through robust data preprocessing, cleaning, and analysis workflows.

• Collaborate & Communicate - Partner closely with research, product, and engineering teams to integrate ML solutions seamlessly into Incode’s production environment.

• Mentorship & Leadership - Provide technical guidance, share best practices, and contribute to building a culture of innovation and continuous learning.

Your Background

• 5+ years of industrial experience in Machine Learning, Deep Learning, or Computer Vision.

• Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.

• Demonstrated experience developing, deploying, and optimizing models for both performance and cost efficiency in production environments (including edge AI).

• Specialized expertise in at least one of the following areas:

  • Facial Recognition – face recognition, age estimation, facial attributes analysis.

  • Liveness Detection – facial authentication, anti-spoofing, and anti-deepfake defense.

  • Document Processing – OCR-based extraction, document analysis, and quality assurance.

  • ID Verification – biometric data authentication and document integrity validation.

• Proven ability to design and maintain end-to-end ML pipelines.

• Track record of research contributions or publications in deep learning and computer vision.

• Excellent communication and collaboration skills across cross-functional teams.

• Passion for mentoring talent and thriving in both long-term research and rapid iteration cycles.

The Qualities That Set You Apart

• Deep curiosity and technical excellence in AI and computer vision.

• Builder mindset with a drive to deliver real-world impact through applied research.

• Strong analytical thinking balanced by practical execution.

• Collaborative spirit and ability to simplify complex ideas for diverse audiences.

• Commitment to innovation, scalability, and continuous improvement.

Why Incode?